Sparse sensing in colocated MIMO radar: A matrix completion approach

Dionysios Kalogerias, Shunqiao Sun, Athina Petropulu

Research output: Contribution to conferencePaperpeer-review

9 Scopus citations

Abstract

In this paper, we investigate a novel networked colocated MIMO radar approach that relies on sparse sensing and matrix completion, and enables significant reduction of the volume of data required for accurate target detection and estimation. More specifically, the receive antennas sample the target returns via two sparse sensing schemes, and forward the obtained samples to a fusion center. Based on the data from multiple antennas, the fusion center can formulate and solve a low rank matrix completion problem, which allows for the recovery of all information needed for target parameters estimation. Both the cases of uniform linear and general 2D arrays are considered. The effectiveness of the proposed approach is justified both theoretically and through numerical simulations.

Original languageEnglish (US)
Pages496-502
Number of pages7
DOIs
StatePublished - 2013
Event13th IEEE International Symposium on Signal Processing and Information Technology, IEEE ISSPIT 2013 - Athens, Greece
Duration: Dec 12 2013Dec 15 2013

Other

Other13th IEEE International Symposium on Signal Processing and Information Technology, IEEE ISSPIT 2013
Country/TerritoryGreece
CityAthens
Period12/12/1312/15/13

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Signal Processing

Keywords

  • Array Processing
  • MIMO Radar
  • Matrix Completion
  • Strong Incoherence Property
  • Subspace Coherence

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