摘要
提出了一种新的基于压缩感知(compressive sensing,CS)的超宽带信道估计方法,将PN编码器引入到压缩感知框架中,用编码器产生的quasi-Toeplitz矩阵代替完全随机的高斯矩阵,编码器有一定的存储功能,除了可以将测量算子存储并更有效的应用外,还能解决现实中对大数据量的压缩困难问题。另外,编码器在硬件和软件上都容易实现。发射端有足够的能量来实现很多的高级算法,文中依照时间反转理论将传统信道模型中接收端的降采样过程移到发射端,降低了接收端的复杂度,加快了数据处理的速度。
A new method for uhra-wideband （UWB）channel estimation based on compressive sensing （CS） is developed in this paper. PN encoder will be introduced to the CS framework. Quasi-Toeplitz ma- trix generated by the encoder is used to instead of fully random Gaussian matrix. Because encoder can store some information, measurement operators can be stored and applied efficiently in the encoder and the problem of large data compression also can be solved. In addition, the encoder is easily implementable in software or hardware. Follow the theory of time reversal , most energy consumption and computation of the processing at the receiver can be moved to the transmitter. Finally the receiver complexity is reduced and data processing is speeded up.
出处
《南京邮电大学学报（自然科学版）》
北大核心
2012年第3期51-55,共5页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
国家自然科学基金(60972039)资助项目
关键词
压缩感知
信道估计
超宽带
PN编码波器
compressive sensing（CS）
channel estimation
uhra-wideband （UWB）
PN-encoder filter
