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
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;
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2015 IEEE China Summit and International Conference on
Conference_Location :
Chengdu
DOI :
10.1109/ChinaSIP.2015.7230417
