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作 者:方勇 Zhou Xiaoping Wang Min
机构地区:[1]School of Communication and Information Engineering, Key laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200072, P. R. China [2]Key Laboratory of Advanced Display and System Applications, Shanghai 200072 ,P. R. China
出 处:《High Technology Letters》2011年第2期113-118,共6页高技术通讯(英文版)
基 金:Supported by the National Natural Science Foundation of China ( No. 60972056 ), the Innovation Foundation of Shanghai Education Committee ( No. 09ZZ89) and Shanghai Leading Academic Discipline Project and STCSM ( No.S30108, 08DZ2231100 ).
摘 要:A compressed sensing (CS) based channel estimation algorithm is proposed in the fast moving environment. A sparse basis expansion channel model in both time and frequency domain is given.Pilots are placed according to a novel random unit pilot matrix (RUPM) to measure the delay- Doppler sparse channel. The sparse channels are recovered by an extension group orthogonal matching pursuit (GOMP) algorithm, enjoying the diversity gain from multi-symbol processing. The relatively nonzero channel coefficients are estimated from a very limited number of pilots at a sampling rate significantly below the Nyquist rate. The simulation results show that the new channel estimator can provide a considerable performance improvement for the fast fading channels. Three significant reductions are achieved in the required number of pilots, memory requirements and computational complexity.
关 键 词:compressed sensing ( CS) channel estimation fast fading sparse channel basis expansion
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]
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