DocumentCode
735029
Title
On the detection probability of sparse signals with sensor networks based on distributed subspace pursuit
Author
Wenqiang Zhao ; Gang Li
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear
2015
fDate
12-15 July 2015
Firstpage
324
Lastpage
328
Abstract
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.
Keywords
compressed sensing; probability; signal detection; DSP algorithm; distributed subspace pursuit algorithm; sensor networks; sparse signals detection probability; Algorithm design and analysis; Compressed sensing; Covariance matrices; Digital signal processing; Sensors; Signal detection; Signal to noise ratio; Signal detection; compressed sensing; distributed signal processing; sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Information Processing (ChinaSIP), 2015 IEEE China Summit and International Conference on
Conference_Location
Chengdu
Type
conf
DOI
10.1109/ChinaSIP.2015.7230417
Filename
7230417
Link To Document