On the detection of sparse signals with sensor networks based on subspace pursuit

Hao Zhang Gang Li, Thakshila Wimalajeewa, Pramod Kumar Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

In this paper, we consider the problem of distributed detection of sparse signals with a sensor network. Due to practical constraints on communication bandwidth and computational capacity, detection of sparse signals in a distributed manner is more efficient than centralized processing in terms of communication and computation. We develop a greedy algorithm named distributed subspace pursuit (DSP) for distributed detection of sparse signals. In the proposed approach, each node computes an estimate for the sparse support iteratively using the subspace pursuit (SP) algorithm and transmits a condensed message to a fusion center during each iteration to compute a decision statistic. Experimental results show that reliable detection of sparse signals can be obtained by the proposed approach with a very small number of iterations per node. We further demonstrate the superiority of our algorithms to the most related sparsity-driven methods.

Original languageEnglish (US)
Title of host publication2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages438-442
Number of pages5
ISBN (Print)9781479970889
DOIs
StatePublished - Feb 5 2014
Event2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 - Atlanta, United States
Duration: Dec 3 2014Dec 5 2014

Other

Other2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
CountryUnited States
CityAtlanta
Period12/3/1412/5/14

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems

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    Gang Li, H. Z., Wimalajeewa, T., & Varshney, P. K. (2014). On the detection of sparse signals with sensor networks based on subspace pursuit. In 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 (pp. 438-442). [7032155] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2014.7032155