基于支撑集估计的压缩扩频接收机  

Compressive spread spectrum receiver based on support estimation

作　　者：郭黎利[1] 刘湘蒲[1] 孙志国[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《中南大学学报（自然科学版）》2017年第8期2088-2096,共9页Journal of Central South University:Science and Technology

基　　金：国家自然科学基金资助项目(61271263)~~

摘　　要：为了提升压缩扩频接收机的误码率性能,提出一种基于支撑集估计的改进压缩扩频接收机。改进的接收机首先估计稀疏信号的支撑集,然后通过求解闭合表达式代替原有的重构算法来获取发送的信息序列,从而达到降低系统误码率的目的。将改进的压缩扩频接收机应用于m W复合序列扩频信号的接收,通过检测m W复合序列的循环谱峰值来估计稀疏信号的支撑集。研究结果表明:对于m W复合序列,在低信噪比下,通过循环谱检测能有效实现支撑集的估计,且改进的压缩扩频接收机比现有的压缩扩频接收机具有更好的误码率性能。In order to improve the bit-error-rate（BER） performance of compressive spread spectrum（CSS） receiver, a modified CSS receiver based on support estimation was proposed. In the modified receiver, support of sparse signal was estimated firstly, and then the transmitted information sequence can be achieved by solving a closed-form expression instead of the original reconstructed algorithm, which can reduce the BER of receiver. The modified CSS receiver was used to receive m-Walsh（m W） composite sequence spread spectrum signal, and the support of sparse signal can be estimated by detecting cyclic spectrum peak of m W composite sequence. The results show that for m W composite sequence, the support of sparse signal can be estimated effectively in low signal-to-noise ratio（SNR）, and the modified CSS receiver has a better BER performance than CSS receiver.

关 键 词：压缩感知 扩频接收机 支撑集估计 mW复合序列 循环谱 

分 类 号：TN914.42[电子电信—通信与信息系统]