差分调制信号亚奈奎斯特率检测方法  

Sub-Nyquist Detection Method for Differential Modulation Signals

作　　者：钱慧[1] 李娜萍[1] 余轮[1] 

机构地区：[1]福州大学物理与信息工程学院,福建福州350108

出　　处：《信号处理》2013年第8期977-983,共7页Journal of Signal Processing

基　　金：福建省教育厅A类科技项目(JA12025);福建省自然科学基金(2010J05127)

摘　　要：压缩感知是一种亚奈奎斯特率信息采样方法。基于压缩感知的符号检测方法通常先将亚奈奎斯特率样本重构为奈奎斯特率样本,然后再依据传统符号检测的原理检测接收符号。本文针对基于重构的压缩感知符号检测方法采样率过高的问题,研究广义似然比检测和信息采样样本之间的关系,提出了一种不需要重构奈奎斯特率样本的压缩检测方法。该方法首先通过双通道时延结构分离接收信号的参考部分和信息符号部分,然后依据两部分信号的稀疏相关特性,对亚奈奎斯特率接收符号进行检测。实验结果表明本文提出的方法能够有效地抵抗多径衰弱和符号间干扰(Inter Symbol Interference,ISI)。Compressed sensing is a kind of information sampling method on Sub-Nyuqist rate. The symbol detection methods on CS are usually reconstructing Nyquist samples from Sub-Nyquist samples, and then detect receiver symbol accord-ing to the traditional symbol detection theory. As to the high sample rates problem of reconstruction based compressed sensing detection methods, this paper studies the relationship between information sampling and generalized likelihood ratio detection, and proposes a compressed detection method without reconstruction samples at Nyquist rate. This method separates the refer-ence part and information symbol part by dual channel delay structure, and detects the sub-Nyquist symbol on the sparse cor-relation characteristic between the two parts. The experiment results show the method is more stable to multipath and ISI.

关 键 词：压缩感知 亚奈奎斯特率采样 有限新息率采样 符号检测 广义最大似然比 

分 类 号：TN911[电子电信—通信与信息系统]