重庆邮电大学学报（自然科学版）2016，Vol.28Issue(5)：707-712,6.DOI:10.3979/j.issn.1673-825X.2016.05.015
基于压缩感知的自适应加权匹配追踪算法
Adaptive weighting & matching pursuit algorithm based on compressed sensing
摘要
Abstract
Compressed Sensing (CS)technology can improve the spectrum efficiency by reducing transmitted pilots.In or-der to estimate the pilot-aided and sparse-unknown channel utilizing compressed sensing in OFDM system,an adaptive weighting &matching pursuit (AWMP)algorithm is proposed.The algorithm estimates the time-domain channel impulse response by using the proposed method,weights adaptively and searches optimal sparse degree after iteration by the esti-mated signal to noise ratio (SNR)and the matching principle.Then the channel information is estimated accurately without knowing SNR and sparse degree.Simulation indicates that,compared to the traditional channel estimation algorithm,the method proposed here can obtain lower bit-error-rate (BER)and mean square error (MSE)with fewer pilots.关键词
压缩感知/信道估计/稀疏性/信噪比/自适应加权/匹配追踪Key words
compressed sensing/channel estimation/sparsity/signal to noise ratio (SNR)/adaptive weighted/matching pursuit分类
信息技术与安全科学引用本文复制引用
余翔,郑寒冰,曾银强..基于压缩感知的自适应加权匹配追踪算法[J].重庆邮电大学学报（自然科学版）,2016,28(5):707-712,6.基金项目
国家科技重大专项课题 （）
