摘要
压缩感知(CS,Compressive Sensing)理论指出可以用低于奈奎斯特抽样定理的速率对稀疏信号进行采样并在收端以很高的概率重建信号,它是目前信号处理领域的研究热点。基于CS理论的信道估计会降低导频辅助信道估计的导频数量且估计性能好,介绍了CS的基本原理和信道估计相关内容,以及正交频分复用(OFDM,Orthogonal Frequency Division Multiplex)系统和UWB系统中2种不同的基于CS的信道估计方法,重点是基于CS的信道估计的数学建模过程。
Recently,compressive sensing（CS） technology is a hot research topic in signal processing area,this technology could sample the sparse signal at a rate much lower than Nyquist rate and reconstruct it with high probability by optimization technique.CS-based channel estimation could reduce the number of pilot symbols and has a better estimation performance as compared with traditional channel estimation.Two different CS-based channel estimations in orthogonal frequency division multiplex（OFDM） system and ultra wideband（UWB） system are described in this paper,with emphasis on mathematical modeling of these two CS-base channel estimations.
出处
《通信技术》
2011年第9期27-29,共3页
Communications Technology
