Compressed sensing based channel estimation for fast fading OFDM systems  

作　　者：Xiaoping Zhou Yong Fang Min Wang 

机构地区：[1]Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China [2]Key Laboratory of Advanced Display and System Applications, Shanghai 200072, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2010年第4期550-556,共7页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(60972056);the Innovation Foundation of Shanghai Education Committee(09ZZ89);Shanghai Leading Academic Discipline Project and STCSM(S30108and08DZ2231100)

摘　　要：A compressed sensing（CS） based channel estimation algorithm is proposed by using the delay-Doppler sparsity of the fast fading channel.A compressive basis expansion channel model with sparsity in both time and frequency domains is given.The pilots in accordance with a novel random pilot matrix in both time and frequency domains are sent to measure the delay-Doppler sparsity channel.The relatively nonzero channel coefficients are tracked by random pilots at a sampling rate significantly below the Nyquist rate.The sparsity channels are estimated from a very limited number of channel measurements by the basis pursuit algorithm.The proposed algorithm can effectively improve the channel estimation performance when the number of pilot symbols is reduced with improvement of throughput efficiency.A compressed sensing（CS） based channel estimation algorithm is proposed by using the delay-Doppler sparsity of the fast fading channel.A compressive basis expansion channel model with sparsity in both time and frequency domains is given.The pilots in accordance with a novel random pilot matrix in both time and frequency domains are sent to measure the delay-Doppler sparsity channel.The relatively nonzero channel coefficients are tracked by random pilots at a sampling rate significantly below the Nyquist rate.The sparsity channels are estimated from a very limited number of channel measurements by the basis pursuit algorithm.The proposed algorithm can effectively improve the channel estimation performance when the number of pilot symbols is reduced with improvement of throughput efficiency.

关 键 词：compressed sensing sparse channel channel estimation fast fading. 

分 类 号：TN948.14[电子电信—信号与信息处理] TN929.5[电子电信—信息与通信工程]