An improved CoSaMP sparse channel estimation algorithm in OFDM system

摘要

In order to improve the accuracy and speed of channel estimation in OFDM system, an improved Compressive Sampling Matching Pursuit (CoSaMP) algorithm was proposed. The new algorithm which improves the estimation accuracy and the estimation speed, added a least square estimation process to the estimation results. Moreover it optimized the number of atoms in candidate set and the terminal conditions of iterations. Simulation results show, in OFDM system, the improved algorithm gains better MSE and BER estimation performance than CoSaMP and Orthogonal Matching Pursuit (OMP). Meanwhile, it has faster estimation speed than CoSaMP.