ON THE DETECTION PROBABILITY OF SPARSE SIGNALS WITH SENSOR NETWORKS BASED ON DISTRIBUTED SUBSPACE PURSUIT

被引：0

作者：

Zhao, Wenqiang ^{[1
]}

Li, Gang ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

来源：

2015 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING | 2015年

关键词：

Signal detection; compressed sensing; sensor network; distributed signal processing;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The distributed subspace pursuit (DSP) algorithm has been proposed for sparse signal detection with a sensor network. The experimental investigation on the detection probability of DSP has been provided, but the theoretical analysis on this issue is not clear yet. In this paper, a lower bound of the detection probability of DSP is theoretically analyzed. Experimental evaluations show that our theoretical results are reasonable.

引用

页码：324 / 328

页数：5

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