基于支撑集估计的压缩扩频接收机

发布时间：2018-05-15 20:02

本文选题：压缩感知 + 扩频接收机　；参考：《中南大学学报(自然科学版)》2017年08期

【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。
[Abstract]:In order to improve the BER performance of compressed spread spectrum receiver, an improved compression spread spectrum receiver based on support set estimation is proposed. The improved receiver first estimates the support set of the sparse signal and then obtains the transmitted information sequence by solving the closed expression instead of the original reconstruction algorithm so as to reduce the bit error rate (BER) of the system. The improved compression spread spectrum receiver is applied to receive the spread spectrum signal of MW composite sequence, and the support set of sparse signal is estimated by detecting the peak value of cyclic spectrum of MW composite sequence. The results show that for MW composite sequences, cyclic spectrum detection can effectively estimate the support set under low SNR, and the improved compression spread spectrum receiver has better BER performance than the existing compression spread spectrum receiver.
【作者单位】：哈尔滨工程大学信息与通信工程学院;
【基金】：国家自然科学基金资助项目(61271263)~~
【分类号】：TN914.42

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