Direct tracking of multiple targets in MIMO radar

Phuoc Vu, Alexander M. Haimovich, Braham Himed

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

2 Scopus citations

Abstract

We consider the problem of tracking multiple moving targets by MIMO radar systems with widely distributed antennas and non-coherent processing. Two tracking algorithms based on the extended Kalman filter are proposed to estimate locations and velocities of multiple targets. With indirect tracking, the tracker observations model consists of time delay and velocity estimates and nearest-neighbor data association, whereas direct tracking is performed on the radar observations, and data association is implicit. The analysis shows that for multiple targets, direct tracking outperforms indirect tracking at all signal-to-noise ratio values. The advantage of direct tracking is traced to the elimination of intermediate estimated parameters and explicit data association.

Original languageEnglish (US)
Title of host publicationConference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1139-1143
Number of pages5
ISBN (Electronic)9781538639542
DOIs
StatePublished - Mar 1 2017
Event50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 - Pacific Grove, United States
Duration: Nov 6 2016Nov 9 2016

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
Country/TerritoryUnited States
CityPacific Grove
Period11/6/1611/9/16

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

Keywords

  • MIMO radars
  • Multiple targets tracking
  • direct localization

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