作者：罗浚溢¹, 刘涛²

作者单位：1. 成都大学电子信息工程学院, 四川 成都 610106;
2. 电子科技大学自动化工程学院, 四川 成都 611731

关键词：压缩感知;混合信号;高动态范围;最小均方差

摘要：

为能够有效获取高动态范围混合信号的弱信号，提出一种基于压缩感知的信号采样方法。通过弱信号与预估值之间的最小均方差得到一种新的感知矩阵，该感知矩阵可以在抑制强信号的同时保留弱信号；利用相干分析法验证该矩阵满足约束等距性条件，并对噪声误差进行分析。实验结果表明：该方法可实现高动态范围混合信号的弱信号的采样与重构。

A new cs-based acquisition method for mixed signals with high dynamic range

LUO Junyi¹, LIU Tao²

1. School of Electronic Information Engineering, Chengdu University, Chengdu 610106, China;
2. School of Automotive Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Abstract: In order to obtain the weak signal of high dynamic range signal effectively, a new method based on compressed sensing is proposed. Based on the minimum mean squared between the weak signal and estimate value, a new sensing matrix was obtained. The sensing matrix can limit strong signal while also preserves weak signal; the coherence analysis method was adopted to prove that the sensing matrix satisfies the restricted isometry property, and noise error was also analyzed. Experimental results show that the proposed method can effectively realize the sampling and reconstruction of weak signal in high dynamic range mixed signal.

Keywords: compressive sensing;mixed signal;high dynamic range;minimum mean square error

2016, 42(9): 112-115  收稿日期: 2015-10-12;收到修改稿日期: 2015-12-29

基金项目: 工信部重大专项项目（2015ZX01005004）

作者简介: 罗浚溢(1980-),男,四川达州市人,讲师,博士,主要从事多通道压缩采样。

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