CROSS-REFERENCE TO RELATED APPLICATIONS 
     This application claims the benefit of U.S. Provisional Patent Application Ser. No. 60/357,157, titled “IONOSPHERIC ERROR PREDICTION AND CORRECTION IN SATELLITE POSITIONING SYSTEMS,” filed on Feb. 13, 2002, which is incorporated herein by reference. 
    
    
     BACKGROUND OF THE INVENTION 
     1. Field of the Invention 
     This invention relates generally to satellite positioning systems (“SPS”) devices, and in particular to ionospheric error predication and correction in an SPS. 
     2. Related Art 
     Satellite positioning systems (“SPS”) are satellite-based navigation systems. Examples of SPS include but are not limited to the United States (“U.S.”) Navy Navigation Satellite System (“NNSS”) (also know as TRANSIT), LORAN, Shoran, Decca, TACAN, the Joint Program Office (“JPO”) Global Positioning System (“GPS”) (also known as NAVSTAR, which was developed by the U.S. Department of Defense (“DoD”) in the early 1970s), the Russian counterpart known as Global Navigation Satellite System (“GLONASS”) and any future Western European SPS such the proposed “Galileo” program. The NAVSTAR GPS (henceforth referred to simply as “GPS”) was originally developed as a military system to fulfill the needs of the U.S. military; however, the U.S. Congress later directed DoD to also promote GPS&#39;s civilian uses. As a result, GPS is now a dual-use system that may be accessed by both U.S. government agencies (such as the military) and civilians. The GPS system is described in  GPS Theory and Practice , Fifth ed., revised edition by Hofiann-Wellenhof, Lichtenegger and Collins, Springer-Verlag Wien NewYork, 2001, which is fully incorporated herein by reference. 
     Typically, the utilization of SPS includes identifying precise locations on the Earth and synchronizing telecommunication networks such as military communication networks and the code division multiple access (“CDMA”) cellular telephone networks. Additionally, with the advent of the U.S. Congress&#39; mandate, through the Federal Communications Commission (“FCC”), for a cellular telephone network that is capable of providing cellular telephone user&#39;s location within 50 feet in emergency situations (known as Enhanced 911service or “E911”), SPS will be employed for both location determination and synchronization in many cellular applications. 
     In general, the array of GPS satellites transmit highly accurate, time coded information that permits a GPS receiver to calculate its location in terms of latitude and longitude on Earth as well as the altitude above sea level. GPS is designed to provide a base navigation system with accuracy within approximately 100 meters for non-military users and even greater precision for the military and other authorized users (with Selective Availability set to ON). 
     The space segment of GPS is a constellation of satellites orbiting above the earth that contain transmitters, which send highly accurate timing information to GPS receivers on earth. At present, the implemented GPS constellation includes 21 main operational satellites plus three active spare satellites. These satellites are arranged in six orbits, each orbit containing three or four satellites. The orbital planes form a 55° angle with the equator. The satellites orbit at a height of approximately 10,898 nautical miles (20,200 kilometers) above the Earth with orbital periods for each satellite of approximately 12 hours. 
     Generally, each of the orbiting satellites contains four highly accurate atomic clocks (two rubidium and two cesium). These atomic clocks provide precision timing pulses used to generate a unique binary code (also known as a pseudorandom “PRN-code” or pseudo noise “PN-code”) that is transmitted to Earth. The PRN-code identifies the specific satellite in the constellation. The satellite also transmits a set of digitally coded ephemeris data (also known as “ephemerides”) that defines the precise orbit of the satellite. The ephemeris data indicates where the satellite is at any given time, and its location may be specified in terms of the satellite ground track in precise latitude and longitude measurements. The information in the ephemeris data is coded and transmitted from the satellite providing an accurate indication of the position of the satellite above the Earth at any given time. Typically, a ground control station updates the ephemeris data of the satellite once per day to ensure accuracy. 
     More specifically, each GPS satellite transmits a microwave radio signal presently composed of two carrier frequencies modulated by two digital codes and a navigation message. The two carrier frequencies are generated from a highly accurate fundamental L-band frequency of 10.23 MHz produced by the four atomic clocks. The two carrier frequencies, known as L 1  and L 2 , are coherently derived from the fundamental frequency by multiplying the fundamental frequency by 154 and 120 to produce L 1  at 1575.42 MHz and L 2  at 1227.60 MHz, respectively. These dual frequencies are utilized to eliminate some of the major sources of error. 
     The pseudoranges that are derived from measured travel times of the signal from each satellite to the receiver use two PRN-codes that are modulated onto the two base carriers. The first code is the Coarse/Acquisition code (“C/A-code” also known as the “Standard Positioning Service”) that is available for civilian use. The C/A-code has an effective wavelength of approximately 300 meters. Presently, the C/A-code is modulated only on L 1  and is purposely omitted from L 2 . This omission allows DoD to control the information broadcast by the satellite and, thus, denies full system accuracy to non-authorized users. The second code is the Precision code (“P-code” also known as the “Precise Positioning Service”) that has been reserved for the U.S. military and other authorized users and has an effective wavelength of approximately 30 meters. The P-code is modulated on both the L 1  and L 2  carriers. 
     In addition to the PRN-codes, a data message is modulated onto both carriers that include status information, satellite clock bias, and satellite ephemerides. It is appreciated by those skilled in the art that the U.S. intents to improve the above described signal structures in the future. 
     As an additional security precaution, DoD has included a number of techniques for denying non-authorized users full access to GPS. These techniques include Selective Availability (“SA”), Anti-spoofing (“A-S”) and Selective Denial (“SD”). The goal of SA was to deny navigation accuracy to potential adversaries by dithering the satellite clock and manipulating the ephemerides. However, due to the appearance of new techniques to compensate for SA errors such as differential techniques, SA was eventually turned OFF on May 2, 2000. A-S has the ability to essentially turn-off the P-code or invoke an encrypted code as a means of denying access to the P-code to all but authorized users. A-S is accomplished by the modulo-2 sum of the P-code and an encrypted W-code. The resulting code is denoted as the Y-code and when A-S is active the P-code on the L 1  and L 2  carrier is replaced by the unknown Y-code. Future plans for signal structure will include a C/A-code on both the L 1  and L 2  carriers and the Y-code will be replaced with a new military split-spectrum signal denoted as the M-code. Finally, SD denies access to the GPS signal to unauthorized users in regions of interest by utilizing ground-based jammers. 
       FIG. 1  illustrates a diagram  100  of an example implementation of an SPS. In operation, a SPS receiver  102  located on the Earth  104  is designed to pick up signals  106 ,  108 ,  110  and  112  from several SPS satellites  114 ,  116 ,  118  and  120  simultaneously. The SPS receiver  102  decodes the information and, utilizing the time and ephemeris data, calculates the position of the SPS receiver  102  on the Earth  104 . The SPS receiver  102  usually includes a floating-point processor (not shown) that performs the necessary calculations and may output a decimal display of latitude and longitude as well as altitude on a handset (not shown). Generally, signals  106 ,  108  and  110  from at least three satellites  114 ,  116  and  118  are needed for latitude and longitude information. A fourth satellite  120  signal  112  is needed to compute altitude. 
     Unfortunately, SPS includes several types of errors that typically degrade the performance of the SPS receiver. These errors include random errors and systematic errors that may originate at the satellites, the SPS receiver or be the result of signal propagation errors. The errors originating at the satellites include ephemeris, orbital, satellite clock, and in the case of GPS, the systematic error caused by the SA, S-A and/or SD selections. The errors originating at the receiver include; receiver clock errors, multipath error, receiver noise, and antenna phase center variations. Generally, multipath error correction methods are well known and have been implemented in some GPS chip set architectures. 
     The signal propagation errors are the result of atmospheric refraction that includes delays of the SPS signal as it passes through the ionospheric and tropospheric layers of the atmosphere. In general, the ionosphere is a dispersive medium, which lies between seventy and one thousand kilometers above the Earth&#39;s surface. The ionosphere is at the upper part of the atmosphere where the ultraviolet and X-ray radiation from the sun interacts with the gas molecules and atoms of the atmosphere to produce gas ionization. The gas ionization results in a large number of free negatively charged electrons and positively charged atoms and molecules. As a result, the electron density within the ionosphere is not constant and changes with altitude and time as a result of the sun&#39;s radiation and the Earth&#39;s magnetic field. 
     As such, the ionosphere bends SPS radio signals and changes their propagation speed as they passes through the ionosphere. Bending is known to typically cause negligible range errors (particularly if the satellite elevation angle is greater than 5 degrees); however, the change in propagation speed is known to cause significant range errors because the ionosphere speeds up the propagation of the carrier phase beyond the speed of light while slowing down the PRN-code by the same amount. The ionospheric delay is proportional to the number of free electrons along the SPS signal path and is known as the Total Electron Content (“TEC”). TEC depends on a number of factors including the time of day, the time of year, the 11-year solar cycle and geographic location of the SPS receiver relative to the SPS satellite. Additionally, the ionosphere causes a delay that is frequency dependent such that the lower the frequency, the greater the delay. Thus, the L 2  delay is greater than the L 1  delay. As an example, the ionospheric delay of a transmitted SPS signal may cause an error of approximately ten meters when calculating the position of the SPS receiver. 
     As a result, numerous techniques have been developed to minimize many of these errors including the technique known as Differential Global Position Systems (“DGPS”). DGPS is a technique of differencing signals from two or more SPS receivers to improve the accuracy of the signal. Typically, DGPS involves at least two SPS receivers. One SPS receiver is usually mobile (i.e., a “mobile GPS receiver”) and another SPS receiver is stationary. The stationary SPS receiver is usually known as a “GPS server” and is typically located at a reference site that has known coordinates. If the GPS server and mobile GPS receiver are located within an acceptable proximity of each other, the GPS server and mobile GPS receiver will receive the GPS satellite signals simultaneously. Therefore, most of the errors in the GPS satellite signals will be received equally by both the GPS server and mobile GPS receiver. The GPS server then calculates any needed error corrections by comparing the difference between its calculated coordinates from the received GPS satellite signal and its known coordinates. These calculated error corrections are transmitted to the mobile GPS receiver, which may then compensate for the received errors in its received GPS satellite signal. 
     Unfortunately, DGPS is not always available and even when it is it may still take a relatively long time to determine an acceptable position accuracy at the mobile SPS receiver because the mobile SPS receiver needs to receive the differential data from the SPS server. However, this differential data is only the error information observed at the SPS server not the mobile SPS receiver. As the distance between the mobile SPS receiver and SPS server increases, the error information observed at the SPS server becomes less useful. 
     Additionally, now that SA has been turned off by DoD, ionospheric and multipath errors have become the most prominent errors. Therefore, the need for routinely communicating between the mobile SPS receiver and SPS server to compensate for SA is no longer present. Unfortunately, conventional DGPS schemes continue to perform numerous costly communications between the mobile SPS receiver and SPS server. Moreover, when the communication link is unstable (such as in a wireless system) or unavailable the benefits of DGPS drop of significantly. 
     Besides DGPS, another approach to correct for ionospheric errors includes using models of the ionosphere to predict the ionospheric errors. The model approach is most often utilized in non-DGPS standalone GPS applications. The Klobuchar model (also known as the TEC model) is probably the most commonly utilized ionospheric model because the model is broadcast in GPS navigation messages from the GPS satellite and is described in the  Global Positioning System, Interface Control Document , ICD-GPS-200, Revision C, Initial Release, Oct. 10, 1993, which is fully incorporated herein by reference. According to ICD-GPS-200, for the L 1  frequency, the ionospheric error may be modeled as a shell (also known as a “half-cosine” curve) that is described by the following physical relationship 
               T   iono     =     {                 F   ×     [     DC   +       A   ⁢   cos     ⁡     (       2   ⁢     π   ⁡     (     t   -   ψ     )         P     )         ]       ,           if   ⁢           |   x   |     &lt;     π   2                     F   ×     (   DC   )       ,           if   ⁢           |   x   |     ≧     π   2               ⁢   where   ⁢           ⁢   x     =     2   ⁢       π   ⁡     (     t   -   ψ     )       /   P     ⁢           ⁢   and   ⁢           ⁢     T   iono                 
(also known as T zenith ) has the units of seconds and is the error on the zenith direction caused by the ionosphere.  FIG. 2  illustrates an example graph  200  of T zenith    202  in nanoseconds versus local time  204  in hours. F is a scaling factor of the ionospheric delay that is typically known as the “obliquity factor,” which is defined as F=1.0+16.00×(0.53−E) 3 , where E is the “elevation angle” between a GPS receiver and a GPS satellite.  FIG. 3  illustrates an example graph  300  of F  302  versus elevation angle  304  in degrees.
 
     The second part of the T iono  formula represents the error effect caused by the change to the TEC. Here 
             A   =     {               ∑     n   =   0     3     ⁢           ⁢       α   n     ⁢     ϕ   m   n         ,             if   ⁢           ⁢   A     ≦   0               0   ,             if   ⁢           ⁢   A     &lt;   0                   
seconds and
 
             P   =     {               ∑     n   =   0     3     ⁢           ⁢       β   n     ⁢     ϕ   m   n         ,             if   ⁢           ⁢   P     ≧     72,000                 72,000,             if   ⁢           ⁢   P     &lt;     72,000                     
seconds where DC=5.0×10 −9  seconds, σ=50,400 seconds and α n  and β n  are the satellite transmitted data words with n=0, 1, 2 and 3, which are defined by reference paragraph 20.3.3.5.1.9 (“Ionospheric Data”) described in the ICD-GPS-200. Reference paragraph 20.3.3.5.1.9 defines parameters that allow the L 1  only, or L 2  only, user to utilize the ionospheric model (reference paragraph 20.3.3.5.2.5) for computation of the ionospheric delay and are contained in page 18 of subframe 4. The bit lengths, scale factors, ranges and units of these parameters are given in Table 20-X of the ICD-GPS-200.
 
     Unfortunately, the TEC model described in ICD-GPS-200 still results in significant ionospheric errors because ICD-GPS-200 treats both DC and σ as constant values while the actual TEC values of the ionosphere is difficult to model. According to ICD-GPS-200 model, DC has a constant value of 5 nanoseconds though it is known to vary from location to location and the phase term σ has a constant value of 14 hours (i.e., 50,400 seconds) although it is also known to vary from 11 to 17 hours for a certain season, location and condition of solar activity. As a result, the ICD-GPS-200 model is known to correct for no more than about 50% of the ionospheric transmission delays. 
     Thus, there is a need in the art for a way to predict and compensate for the ionospheric errors in SPS. 
     SUMMARY 
     This invention provides a way for satellite positioning systems (“SPS”) to more accurately determine a SPS receiver&#39;s position with less frequent message transmission compared to conventional way of SPS receivers. A SPS system having a GPS receiver and a GPS server compensates for ionospheric errors by receiving ionospheric information at periodic times coinciding with ionospheric events such as sunrise, noon and sun set. The compensation information is sent to a GPS receiver at predetermined events, such as power up, sunrise, noon, and sun set. The GPS receiver then may use other error correction methods in addition to ionospheric error correction when determining the position of the GPS receiver. 
     Other systems, methods, features and advantages of the invention will be or will become apparent to one with skill in the art upon examination of the following figures and detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description, be within the scope of the invention, and be protected by the accompanying claims. 
    
    
     
       BRIEF DESCRIPTION OF THE FIGURES 
       The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the invention. In the figures, like reference numerals designate corresponding parts throughout the different views. 
         FIG. 1  illustrates a block diagram of an example implementation of a satellite positioning system (“SPS”). 
         FIG. 2  illustrates an example graph of T zenith  in nanoseconds versus local time in hours. 
         FIG. 3  illustrates an example graph of F versus elevation angle in degrees. 
         FIG. 4  is block diagram of an example implementation of a SPS for predicting and compensating for ionospheric errors (“SPSPC”). 
         FIG. 5  is a block diagram of an example implementation of the Server Position Calculation Module shown in  FIG. 4 . 
         FIG. 6  is a block diagram of another example implementation of the Server Position Calculation Module shown in  FIG. 4 . 
         FIG. 7  is a block diagram of an example implementation of the Mobile Position Calculation Module shown in  FIG. 4 . 
         FIG. 8  is a flowchart diagram illustrating an example process preformed by the SPS Server shown in  FIG. 4  in determining the ionospheric error correction. 
         FIG. 9  is a flowchart diagram illustrating an example process preformed by the mobile SPS receiver shown in  FIG. 4  in compensating for ionospheric error. 
     
    
    
     DETAILED DESCRIPTION 
     In  FIG. 4 , a satellite positioning system (“SPS”) for predicting and compensating for ionospheric errors (“SPSPC”)  400  is shown having a SPS server  402  and a mobile SPS receiver  404 . Both the SPS server  402  and mobile SPS receiver  404  are in signal communication with various SPS satellites  406 ,  408  and  410  via signal paths  412 ,  414 ,  416 ,  418 ,  420  and  422 , respectively. Additionally, the SPS server  402  is in signal communication with the mobile SPS receiver  404  via signal path  424 . 
     The SPS server  402  may include a server radio frequency (“RF”) front-end.  426 , a SPS Server Module  428 , a Server Communication module  430  and a SPS server bus  432 . The SPS Server Module  428  may include a Server Position Calculation Module  434  in signal communication with the RF front-end  426 , via signal path  436 , a Server Ionospheric Error Modeling Module  438 , Server Processor and/or Controller  440  and Server Storage Module  442 . The Server Ionospheric Error Modeling Module  438 , Server Processor and/or Controller  440  and Server Storage Module  442  and Server Communication Module  430  are all in signal communication via the SPS server bus  432 . 
     Similarly, the mobile SPS receiver  404  may include a Mobile RF front-end  444 , a Mobile SPS Receiver Module  446 , a Mobile communication module  448  and a Mobile SPS receiver bus  450 . The Mobile SPS Receiver Module  446  may include a Mobile Position Calculation Module  452  in signal communication with the Mobile RF front-end  444 , via signal path  454 , a Mobile Ionospheric Error Modeling Module  456 , Mobile Processor and/or Controller  458  and Mobile Storage Module  460 . The Mobile Ionospheric Error Modeling Module  456 , Mobile Processor and/or Controller  458  and Mobile Storage Module  460  and Mobile Communication Module  448  are all in signal communication via the Mobile SPS bus  450 . 
     Examples of the Server RF Front-End  426  and Mobile RF Front-End may include the following GPS and radio chipsets: Conexant 6732, third generation Gemini/Pisces solutions, owned by SiRF Technology, Inc., San Jose, Calif., GPS architectures utilizing Colossus RF ASIC by Trimble, PVT-6 receiver and RF chip MRFIC 1504, by Motorola; Inc. Schaumburg, Ill., BT1575A GPS receiver by BethelTronix Inc, Cerritos, Calif., PCS and GPS receiver RFR3300 and IRF 3300 by Qualconun, Inc., San Diego, Calif., UPB1005GS by NEC, Corp., Japan, and CXA1951AQ by Sony, Inc., Japan. 
     Examples of the Server Communication Module  430  and Mobile Communication Module  448  may be any radio and/or cellular communication device that is capable of transmitting and receiving analog and/or digital communication data. Examples of the SPS Server Module  428  and Mobile SPS Module  446  may include any baseband SPS circuitry that is capable of modeling ionospheric errors. 
     The Server Processor/Controller  440  and Mobile Processor/Controller  458  may include any microcontroller or microcomputer capable of controlling the operations of the sub-modules of either the SPS Server Module  428  or Mobile SPS Receiver  404 , processing the data produced by the Server Position Calculation Module  434  or Mobile Position Calculation Module  452  and generating the ionospheric error data to create and utilize an ionospheric error model. The Server Storage Module  442  and Mobile Storage Module  460  may include any type of storage device and/or memory capable of storing data values or software logic and code. 
     The Server Processor/Controller  440  and/or Mobile Processor/Controller  458  may be any type of control device that may be selectively implemented in software, hardware (such as a computer, processor, microcontroller or the equivalent), or a combination of hardware and software. The Server Processor/Controller  440  and/or Mobile Processor/Controller  458  may utilize optional software (not shown) residing in software memory (not shown) in Server Storage Module  442  and/or Mobile Storage Module  460 . 
     Any software in Server Storage Module  442  and/or Mobile Storage Module  460  may include an ordered listing of executable instructions for implementing logical functions, may selectively be embodied in any computer-readable (or signal-bearing) medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that may selectively fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. In the context of this document, a “computer-readable medium” and/or “signal-bearing medium” is any means that may contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer readable medium may selectively be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific examples “a non-exhaustive list” of the computer-readable medium would include the following: an electrical connection “electronic” having one or more wires, a portable computer diskette (magnetic), a RAM (electronic), a read-only memory “ROM” (electronic), an erasable programmable read-only memory (EPROM or Flash memory) (electronic), an optical fiber (optical), and a portable compact disc read-only memory “CDROM” (optical). Note that the computer-readable medium may even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory. 
     The Server Position Calculation Module  434  and the Mobile Position Calculation Module  452  may be implemented to operate on either or both the carrier frequencies L 1  and L 2 .  FIGS. 5-7  describe example implementations of the Server Position Calculation Module  434  and the Mobile Position Calculation Module  452  operating on various carrier frequencies. 
     In  FIG. 5 , an example implementation of the Server Position Calculation Module  500  that only operates on carrier frequency L 1  is shown. The Server Position Calculation Module  500  may include a carrier frequency mixer  502 , C/A-code mixer  504  and a Data Decoder  506 . As an example of operation, the Server RF Front-End  426 ,  FIG. 4 , provides a received GPS signal, via signal path  436 , to the Server Position Calculation Module  500 ,  FIG. 5 . The Server Position Calculation Module  500  first removes the L 1  carrier from the received GPS signal  436  by mixing, in the carrier frequency mixer  502 , the received GPS signal  436  with a signal produced by a L 1  carrier frequency source  508 . The resultant demodulated signal  510  is then input into the C/A-code mixer  504  where the demodulated signal  510  is mixed with a signal produced by a C/A-code generator  512 . The output  514  of the C/A-code mixer  504  is then input to the data decoder  506  where the signal is decoded and later processed. The C/A-code mixer  504  may be implemented with a bank of correlators or a matched filter network. 
     In  FIG. 6 , another example implementation of the Server Position Calculation Module  600  is shown that operates on both the L 1  and L 2  carrier frequencies. The Server Position Calculation Module  600  may include a L 1  carrier frequency mixer  602 , a L 2  carrier frequency mixer  604 , a C/A-code mixer  606 , a P-code mixer  608 , and a L 1  Data Decoder  610  and a L 2  Data Decoder  612 . As an example of operation, the Server RF Front-End  426 ,  FIG. 4 , provides a received GPS signal, via signal path  436 , to the Server Position Calculation Module  600 ,  FIG. 6 . The Server Position Calculation Module  600  first removes the L 1  carrier from the received GPS signal  436  by mixing, in the L 1  carrier frequency mixer  602 , the received GPS signal  436  with a signal produced by a L 1  carrier frequency source  614 . The Server Position Calculation Module  600  also simultaneously removes the L 2  carrier from the received GPS signal  436  by mixing, in the L 2  carrier frequency mixer  604 , the received GPS signal  436  with a signal produced by a L 2  carrier frequency source  616 . The resultant demodulated signals  618  and  620  are then input into the C/A-code mixer  606  and P-code mixer  608 , respectively, where the demodulated signal  618  is mixed with a signal produced by a C/A-code generator  622  and the demodulated signal  620  is mixed with a signal produced by a P-code generator  624 . The output  626  of the C/A-code mixer  606  is then input to the L 1  data decoder  610  and the output  628  of the P-code mixer  608  is then input to the L 2  data decoder  612 , where the signals are decoded and later processed. Both the C/A-code mixer  606  and P-code mixer  628  may be implemented with a bank of correlators or a matched filter network. 
     It is appreciated by those skilled in the art that the advantage to utilizing both L 1  and L 2  carrier frequencies is that multiple frequency observations from the same GPS satellite may almost completely correct any delay errors caused by ionospheric interference. However, it is also appreciated that for security reasons most GPS receivers do not receive the L 2  carrier frequency because they are not authorized by DoD. 
     Similarly, in  FIG. 7 , an example implementation of the Mobile Position Calculation Module  700  that only operates on carrier frequency L 1  is shown. The Mobile Position Calculation Module  700  may include a carrier frequency mixer  702 , C/A-code mixer  704  and a Mobile Data Decoder  706 . As an example of operation, the Mobile RF Front-End  444 ,  FIG. 4 , provides a received GPS signal, via signal path  454 , to the Mobile Position Calculation Module  700 ,  FIG. 7 . The Mobile Position Calculation Module  700  first removes the L 1  carrier from the received GPS signal  454  by mixing, in the carrier frequency mixer  702 , the received GPS signal  454  with a signal produced by a Mobile L 1  carrier frequency source  708 . The resultant demodulated signal  710  is then input into the C/A-code mixer  704  where the demodulated signal  710  is mixed with a signal produced by a Mobile C/A-code generator  712 . The output  714  of the C/A-code mixer  704  is then input to the Mobile Data Decoder  706  where the signal is decoded and later processed. Again, the Mobile C/A-code mixer  704  may be implemented with a bank of correlators or a matched filter network. 
     While  FIG. 7  only illustrates an example implementation of the Mobile Position Calculation Module  700  operated on carrier frequency L 1 , the Mobile Position Calculation Module  700  may also be designed to operate on both the L 1  and L 2  carrier frequencies. One skilled in the art will recognize that design modifications, similar those illustrated in  FIG. 6 , may also be implemented for the Mobile Position Calculation Module  700  to operate on both the L 1  and L 2  carrier frequencies. 
     In  FIG. 8 , a flowchart  800  is shown that describes an example process performed by the SPS Server  402 ,  FIG. 4 , to determine the ionospheric error correction and create an ionoshpheric error model for predicting further ionospheric errors. The process starts in step  802  when the SPS server  402  receives a SPS signal in step  804 . The SPS Positional Calculation module  434  then, in step  806 , determines the calculated positional coordinates of the SPS server  402  from the received SPS signal. Because the SPS server  402  is utilized as a reference source, the actual positional coordinates of the SPS server  402  are known and the SPS Positional Calculation module  434  is able to detect and identify positional range errors caused by the ionosphere. Therefore, in step  808 , the SPS Positional Calculation module  434  compares the calculated positional coordinates of the SPS server  402  obtained from the SPS signal to the actual known positional coordinates of the SPS server  402 . If the values are the same, the ionosphere has not added any error in the measurement and the process ends at step  812  because no correction is necessary. 
     If instead, the values are different, the process continues to step  814  where the SPS Positional Calculation module  434  determines the ionospheric error by comparing the calculated positional coordinates from SPS signal to the known positional coordinates of the SPS server  402 . In step  816 , the Server Ionospheric Error Modeling Module  438  then creates an ionospheric model of predicted ionospheric errors from the ionospheric error determined by the SPS Positional Calculation module  434 . In steps  818 ,  820 ,  822 ,  824  and  826 , the Server Ionospheric Error Modeling Module  438 , in combination with the Server Processor/Controller  440 , determines the best approach for creating the ionospheric model. Various methods may be made available to the Server Ionospheric Error Modeling Module  438  for creating the ionosheric model. The various modeling methods may be used alone, or in combination, based upon any number of factors, such as calculation speed, degree of error, or other determining factors. Steps  818  and  820 , illustrate the availability of a half cosine curve to create the ionospheric model, while steps  822  and  824 , illustrate the availability of a triangle shape curve to create the ionospheric model. The half cosine curve, discussed above, is well known to those skilled in the art. The triangle shape curve is a simplified version of the cosine curve and may be utilized in certain conditions when ionospheric errors vary only slightly. An example triangle curve relationship may be described by the following equation: 
               T   iono     =     {             F   ×     [       DC   +     A   ×       |   x   |     ]       ,           if   ⁢           |   x   |     &lt;     π   2                     F   ×     (   DC   )       ,           if   ⁢           |   x   |     ≧       π   2     .                       
Additionally, step  826  illustrates the utilization of a lookup table to create the ionospheric model. Look up tables are well known in the art and may include a tabulation of data that was previously created by mathematical relationship, such as a half cosine or triangle curve, in order to simulate or model the process. As an example, the lookup table may be stored in the Server Storage Module  442  allowing the Server Processor/Controller  440  to access the table as needed. In step  828 , once the Server Ionospheric Error Modeling Module  438  has finished creating the ionospheric model, the Server Ionospheric Error Modeling Module  438  determines the descriptive parameters for the ionospheric model, which are passed to the Server Communication Module  430  via the SPS Server bus  432 . In step  830 , the Server Communication Module  430  transmits the ionospheric model parameters to the Mobile SPS receiver  404 .
 
     As shown by step  832 , the accuracy of the generated ionospheric error model may be verified and corrected as necessary. In step  832 , the SPS Server  402  receives a new or second SPS signal. In step  834 , the Server Position Calculation Module  434  and Server Ionospheric Error Modeling Module  434  determine the new or second ionospheric error by comparing calculated position of the SPS server  402  measured by the SPS signal from the actual position of the SPS server  402 . The new or second ionospheric error is then compared against the predicted ionospheric error from the ionospheric model generated by the Server Ionospheric Error Modeling Module  434  in step  836 . If second or new ionospheric error falls within the acceptable parameters of the ionospheric model, the process again ends in step  838  because no corrections are need to the ionospheric model. If instead, an error is detected, the process continues to step  840 , where the ionospheric model of predicted ionospheric errors is adjusted in response to the second ionospheric error falling outside the parameters established by the ionospheric model. New ionospheric model parameters from the newly generated ionospheric model may then be determined by the Server Ionospheric Error Modeling Module  438  in step  842 . The adjusted ionospheric parameters are then transmitted by the Server Communication Module  430 , via signal path  424 , to the Mobile SPS Receiver  404  in step  844 . The process then ends in step  812 . However, it is appreciated that the whole process may repeat itself numerous times as needed to properly model errors in SPS signal from the ionosphere. 
     In  FIG. 9 , a flowchart  900  is shown that describes an example process preformed by the mobile SPS receiver  404 ,  FIG. 4 , in compensating for ionospheric error. The process starts at step  902 , where the Mobile SPS receiver  404  receives a SPS signal from an SPS satellite in step  904 . The Mobile Communication Module  448  also receives the ionospheric model parameters from the SPS Server  402  in step  906 . The Mobile Position Calculation Module  452  and Mobile Ionosphere Error Modeling Module  456  create a SPS receiver ionospheric model of the predicted error from the received ionospheric model parameters in step  908 . Similar to the options in the SPS Server  402 , the Mobile SPS Module  446  may utilize a half cosine curve in steps  910  and  912 , a triangle curve in steps  922  and  924  or lookup table in step  926 . The lookup table may similarly be stored in the mobile storage module  460 . The Mobile Position Calculation Module  452  then determines the calculated positional coordinates of the SPS receiver  404  from the received SPS signal in step  914 . The Mobile SPS Module  446  then, in step  918 , compensates for the ionospheric errors in the calculated positional coordinates with the SPS receiver ionospheric model created by the Mobile Ionospher Error Modeling Module  456 . The process then ends in step  920 . However, it is appreciated by those skilled in the art that the Mobile SPS Module  446  may repeat the process if the SPS Server  402  sends a new transmission with new ionospheric model parameters or if it is needed by the Mobile SPS Module  446 . 
     While various embodiments of the invention have been described, it will be apparent to those of ordinary skill in the art that malty more embodiments and implementations are possible that are within the scope of this invention.
A GPS server capable of receiving information for use in determining ionospheric errors using mathematical formulas and sending ionospheric error correction information to GPS receivers that are in a location capable of receiving the ionospheric error correction information.