重庆邮电大学学报（自然科学版）2016，Vol.28Issue(5)：680-685,6.DOI:10.3979/j.issn.1673-825X.2016.05.011
基于压缩感知的非线性OFDM系统迭代信道估计算法
Iterative channel estimation based on compressed sensing for nonlinearly distorted OFDM systems
摘要
Abstract
An iterative channel estimation algorithm based on compressed sensing is proposed to improve the performance of channel estimation in orthogonal frequency division multiplexing(OFDM)systems caused by nonlinearly distortion.By u-sing the dual-sparsity of channel and nonlinear distortion,compressed sensing based channel estimation is firstly implemen-ted by considering the pilots as the observation matrix,and compressed sensing based nonlinear distortion estimation is then implemented by considering the estimated channel information as the observation matrix.After compensating the nonlinear distortion of the signal,the whole process repeats for iterative operation.Simulation shows that the proposed algorithm can effectively reduce the impact of nonlinear distortion on channel estimation and it has a better performance than the existing methods in sparse channels.It demonstrates that this algorithm has superior performance.关键词
正交频分复用(OFDM)/非线性失真/压缩感知/信道估计Key words
orthogonal frequency division multiplexing(OFDM)/nonlinear distortion/compressed sensing/channel estimation分类
信息技术与安全科学引用本文复制引用
戈立军,程以泰,张华,王松,陶进..基于压缩感知的非线性OFDM系统迭代信道估计算法[J].重庆邮电大学学报（自然科学版）,2016,28(5):680-685,6.基金项目
国家自然科学基金（61302062）；天津市应用基础及前沿技术研究计划青年基金（13JCQNJC00900）；天津市民用航空器适航与维修重点实验室开放基金 （）
