1. A method for detecting and identifying threats associated with wireless devices within an electromagnetic environment, comprising: providing one or more sensor antennas within the electromagnetic environment; coupling a radio frequency signal from one or more of the sensor antennas into a radio receiver; communicating data samples representing a portion of the radio frequency signal from the radio receiver to a raw signal analysis engine; identifying, through operation of the raw signal analysis engine, features within the data samples associated with a communicated signal; forming a feature vector comprising the identified features within the data samples; identifying time-frequency domain signals within the data samples; updating identifiers of the time-frequency domain signals into the feature vector; performing clustering analysis on the time-frequency domain signals to identify one or more contiguous blocks of signals; determining a likelihood of each contiguous block of signals having been transmitted by a common radio source; updating the likelihood for each of the contiguous blocks of signals to the feature vector; classifying, through operation of the raw signal analysis engine, modulation features associated with each of the contiguous blocks of signals by matching the feature vector to a known feature vector having a signal with known modulation; decoding, through operation of the raw signal analysis engine, information features from the communicated signal according to the classified modulation features; and aggregating features from multiple receivers to support detecting and identifying threats associated with wireless devices and to support associated operator interfaces.