计算机工程与应用2011，Vol.47Issue(33)：98-100,3.DOI:10.3778/j.issn.1002-8331.2011.33.029
OFDM系统稀疏信道估计研究
Research into algorithm for OFDM systems sparse channel estimation
摘要
Abstract
Due to the sparse structure of channels in a number of communication systems,the sparse channel estimation problem can be formulated as the reconstruction problem of sparse signals.A new method of Orthogonal Frequency Division Multiplexing (OFDM) sparse channel estimation based on Compressive Sensing (CS) is proposed.One of the CS algorithms, signal adaptive matching pursuit is used to estimate the channel impulse response of OFDM system.It overcomes shortcomings that the existing channel estimation methods based on the theory of compressed sensing can only reconstruct channel parameters under the circumstances of knowing sparse degrees of channel impulse response in advance.This algorithm can obtain good channel estimation performance without knowing such channel prior knowledge as sparse degrees and reduce the complexity of the system.关键词
正交频分复用/信道估计/稀疏信道/稀疏度自适应匹配追踪Key words
orthogonal frequency division multiplexing/channel estimation/sparse channel/signal adaptive matching pursuit分类
信息技术与安全科学引用本文复制引用
石慧,宋仁旺,王钢飞..OFDM系统稀疏信道估计研究[J].计算机工程与应用,2011,47(33):98-100,3.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.61073142) （the National Natural Science Foundation of China under Grant No.61073142）
山西高校科技研究开发项目基金(No.20091023). （No.20091023）
