Subspace methods and spatial diversity in radars

David Wilcox*, Mathini Sellathurai, Tharmalingam Ratnarajah

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

The utilization of diversity in radar systems has shown improvements over conventional beamforming phased array radars in many aspects of the system performance including target detection probability, the number of identifiable targets, and beam-pattern synthesis. When linearly independent signals are transmitted, the signals received from targets at different locations are also linearly independent. In using subspace methods such as MUSIC, this presents an advantage as spatial smoothing is no longer required. We present here a comparison of the performance of a MIMO radar system, with that of a phased array requiring spatial smoothing. The behaviour of the eigenvalues of the received data covariance matrix for radars with and without spatial diversity is presented, and the characteristics of the MUSIC spectrum of the two systems is compared.
Original languageEnglish
Title of host publication2008 IEEE Radar Conference
PublisherIEEE
ISBN (Electronic)9781424415397
ISBN (Print)9781424415380
DOIs
Publication statusPublished - 22 Dec 2008
Event2008 IEEE Radar Conference - Rome, Italy
Duration: 26 May 200830 May 2008

Publication series

Name2008 IEEE Radar Conference
PublisherIEEE
ISSN (Print)1097-5659
ISSN (Electronic)2375-5318

Conference

Conference2008 IEEE Radar Conference
Abbreviated titleRADAR 2008
Country/TerritoryItaly
CityRome
Period26/05/0830/05/08

Keywords

  • Diversity methods
  • Radar
  • Phased arrays
  • Multiple signal classification
  • Smoothed methods
  • Array signal processing
  • System performance
  • Object detection
  • Signal synthesis
  • MIMO

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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