Beampattern optimisation for sub-arrayed MIMO radar for large arrays

David Wilcox*, Mathini Sellathurai

*Corresponding author for this work

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

Abstract

The estimation of the direction of arrival (DOA) of signals in the far-field of an array has been an area of continued research. Recent advances in MIMO radar techniques have led to results whereby prior knowledge of the approximate target locations is used to generate arbitrary signals which are transmitted from an active array to improve DOA estimates. This would be a useful in a scenario such as target tracking. However, this neglects the complexities of the hardware required for larger arrays, and further, the amount of computation required on the transmit side alone. A sub-optimal method employing sub-arrays to reduce hardware requirements, and a low complexity algorithm to determine the optimal steering vectors for the arrays is presented and compared to the optimal full diversity transmit strategy.
Original languageEnglish
Title of host publication2010 IEEE International Symposium on Phased Array Systems and Technology
Place of PublicationWaltham, MA, US
PublisherIEEE
ISBN (Electronic)9781424451289
ISBN (Print)9781424451272
DOIs
Publication statusPublished - 28 Oct 2010
Event4th IEEE International Symposium on Phased Array Systems and Technology 2010 - Boston, United States
Duration: 12 Oct 201015 Oct 2010

Conference

Conference4th IEEE International Symposium on Phased Array Systems and Technology 2010
Abbreviated titleArray 2010
Country/TerritoryUnited States
CityBoston
Period12/10/1015/10/10

Keywords

  • Estimation
  • MIMO radar
  • Optimization
  • Covariance matrix
  • Array signal processing
  • Complexity theory
  • Direction of arrival estimation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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