Study on sparse channel estimation algorithm based on compressive sensing for OFDM systems

摘要

A new method of orthogonal frequency division multiplexing (OFDM) sparse channel estimation based on compressive sensing (CS) is proposed by exploiting the sparsity property of channel impulse response. One of the CS algorithms, Signal Adaptive Matching Pursuit is used to estimate the channel impulse response of OFDM system. Through compressive sensing process estimation signal can be directly get, which not need secondly estimate. Simulation results demonstrate the validity of the algorithm. In the channel of unknown sparse degrees, the algorithm can get good channel estimation performance, and reduce the complexity of the system.