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Channel Estimation and Equalization for Vehicular Network by Novel Pilot

In this paper, we proposed a new technique for channel estimation using Orthogonal Frequency Division Multiplexing, (OFDM). Channel estimation is an integral part of the OFDM system based on the latest high speed transmission technology. Channel estimation is a vital technique used at the receiver side in order to estimate actual transmitted signal which gets affected by Interference. In OFDM, the known pilot signal is inserted to get a channel estimate and then the channel response is obtained by interpolation algorithms. We propose two algorithms and studied their characteristics qualities in channel estimation by simulation in NS-2. Firstly, the channel estimation scheme named Frequently Constructed Pilot Based Channel Estimation(FCPCE), which fully utilizes the pilot symbols is used to estimate the channel response and then the equalizer technique Maximum Minimizing Null Adaptive filters(MMNF) is used to completely remove the inter-symbol interference (ISI) and noise at the receiver side. Further, analysis and simulations show better performance of the proposed techniques based on 802.11p standard.