Multistatic radar imaging via decentralized and collaborative subspace pursuit

Gang Li, Pramod K. Varshney, Yimin D. Zhang

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

3 Scopus citations

Abstract

The task of multistatic radar imaging can be converted to the problem of jointly sparse signal recovery. In this paper, the algorithm named decentralized and collaborative subspace pursuit (DCSP) is utilized in multistatic radar systems to obtain a high-resolution image. By embedding collaboration among radar nodes and fusion strategy into each iteration of the standard subspace pursuit (SP) algorithm, DCSP is capable of providing satisfactory image even if some radar nodes suffer from relatively low signal-to-noise ratios (SNRs). Compared to the existing algorithms based on linear programming, DCSP has much lower computational complexity at the cost of increased communication overhead in the radar network.

Original languageEnglish (US)
Title of host publication2014 19th International Conference on Digital Signal Processing, DSP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages710-714
Number of pages5
ISBN (Electronic)9781479946129
DOIs
StatePublished - Jan 1 2014
Event2014 19th International Conference on Digital Signal Processing, DSP 2014 - Hong Kong, Hong Kong
Duration: Aug 20 2014Aug 23 2014

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2014-January

Other

Other2014 19th International Conference on Digital Signal Processing, DSP 2014
CountryHong Kong
CityHong Kong
Period8/20/148/23/14

Keywords

  • Compressive sensing
  • Multistatic radar imaging
  • Subspace pursuit

ASJC Scopus subject areas

  • Signal Processing

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    Li, G., Varshney, P. K., & Zhang, Y. D. (2014). Multistatic radar imaging via decentralized and collaborative subspace pursuit. In 2014 19th International Conference on Digital Signal Processing, DSP 2014 (pp. 710-714). [6900756] (International Conference on Digital Signal Processing, DSP; Vol. 2014-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDSP.2014.6900756