FMCW radar imaging with multi-channel antenna array via sparse recovery technique

Peng Wang, Huadong Meng, Yimin Wei

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

4 Scopus citations

Abstract

A radar system composed of a single transmitter, M receiving channels is studied. Radar echo signals are acquired to estimate the angle, range and velocity in a multiple moving target scenario. The developed algorithm is based on sparse recovery technique by exploiting the sparseness of the targets in angle-range domain. It is shown in simulations for automotive scenario that the proposed algorithm yield better performance in terms of both imaging accuracy and multiple-target resolution compared with the methods of conventional beamforming and minimum variance (Capon) beamforming.

Original languageEnglish
Title of host publicationProceedings - International Conference on Electrical and Control Engineering, ICECE 2010
Pages1018-1021
Number of pages4
DOIs
StatePublished - 2010
Externally publishedYes
EventInternational Conference on Electrical and Control Engineering, ICECE 2010 - Wuhan, China
Duration: 26 Jun 201028 Jun 2010

Publication series

NameProceedings - International Conference on Electrical and Control Engineering, ICECE 2010

Conference

ConferenceInternational Conference on Electrical and Control Engineering, ICECE 2010
Country/TerritoryChina
CityWuhan
Period26/06/1028/06/10

Keywords

  • Array signal processing
  • FMCW radar
  • High resolution
  • Sparse recovery

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