期刊文献+

基于压缩感知的OFDM系统稀疏信道估计新方法研究 被引量:53

Study of Compressive Sensing Based Sparse Channel Estimation in OFDM Systems
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摘要 提出了一种基于压缩感知理论的正交频分复用(OFDM)系统稀疏信道估计的新方法,并具体采用正交匹配追踪(OMP)压缩感知算法对OFDM时域信道脉冲响应进行估计。与传统的最小二乘算法比较,它可以在使用较少导频的条件下获得很好的信道估计性能,从而可以提高系统频谱有效性。根据仿真和压缩感知理论分析确定了OMP信道估计中最佳导频数和最佳导频位置。 A new method of orthogonal frequency division multiplexing (OFDM) sparse channel estima- tion based on compressive sensing (CS) is proposed. One of the CS algorithms, orthogonal matching pursuit (OMP) ,is used to estimate the channel impulse response of OFDM system. Simulations have shown that the OMP estimation has good performance but with less pilots than conventional least square estimation. Therefore, the spectral efficiency of the system can be improved. In OMP estimation, the optimal number and optimal location of pilots are ascertained by simulations and basic CS theories.
出处 《南京邮电大学学报(自然科学版)》 2010年第2期60-65,共6页 Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金 国家重点基础研究发展计划(973计划)(2007CB310607) 国家科技重大专项(2009ZX03003-006) 国家自然科学基金(60972041 60872104) 教育部博士点基金(20080293004) 东南大学移动通信国家重点实验室开放课题基金(N200809) 江苏省高校自然科学基础研究计划重大项目(08KJD510001) 江苏省青蓝工程基金资助项目
关键词 正交频分复用 压缩感知 正交匹配追踪 信道估计 OFDM compressive sensing orthogonal matching pursuit channel estimation
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参考文献12

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共引文献729

同被引文献423

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