Performance guarantees for distributed MIMO radar based on sparse sensing

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

4 Scopus citations


Sparse sensing-based distributed MIMO radars exploit the sparsity of the targets in the discretized target space to achieve the good target estimation performance of MIMO radars but with fewer measurements. Based on sparse sensing, the problem of target estimation is formulated as a sparse signal recovery problem, where the signal to be recovered is block sparse, or equivalently, the sensing matrix is block-diagonal and the signal to be recovered consists of equal size blocks that have the same sparsity profile. This paper develops the theoretical requirements and performance guarantees for the application of sparse recovery techniques to this problem. The obtained theoretical results confirm that exploiting the block sparsity of the target in the target space can reduce the number of measurements needed for target estimation, or can result in improved target estimation for the same number of samples.

Original languageEnglish (US)
Title of host publication2014 IEEE Radar Conference
Subtitle of host publicationFrom Sensing to Information, RadarCon 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Print)9781479920341
StatePublished - 2014
Event2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States
Duration: May 19 2014May 23 2014

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659


Other2014 IEEE Radar Conference, RadarCon 2014
Country/TerritoryUnited States
CityCincinnati, OH

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


  • Distributed MIMO radar
  • block diagonal matrices
  • restricted isometry property
  • sparse sensing


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