Coherent MIMO radar imaging with model-aware block sparse recovery

Lorenz Weiland, Thomas Wiese, Wolfgang Utschick

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

We propose a framework for coherent MIMO radar imaging that allows to combine range imaging using iterative block sparse recovery with conventional, grid-less azimuth imaging. In each iteration of a block-sparse range recovery algorithm, we incorporate a projection step using an arbitrary azimuth imaging algorithm. The proposed imaging framework is hence not limited to azimuth imaging on a grid. This is in contrast to imaging approaches using sparse recovery that are available in the literature and that usually require rather coarse angular grids. Our simulation results show that this model-aware imaging framework achieves improved range and azimuth imaging performance in comparison to separate azimuth estimation after range imaging with block sparse recovery or the conventionally used matched filtering approach.

Original languageEnglish
Title of host publication2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages425-428
Number of pages4
ISBN (Electronic)9781479919635
DOIs
StatePublished - 2015
Event6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 - Cancun, Mexico
Duration: 13 Dec 201516 Dec 2015

Publication series

Name2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015

Conference

Conference6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
Country/TerritoryMexico
CityCancun
Period13/12/1516/12/15

Keywords

  • MIMO radar
  • block sparsity
  • compressed sensing
  • imaging
  • sparse recovery

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