Multi-target tracking using multi-modal sensing with waveform configuration

Jun Jason Zhang, Antonia Papandreou-Suppappola, Muralidhar Rangaswamy

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

9 Scopus citations

Abstract

We investigated the joint multi-modal operation of the asymmetric character of the fields of view of radar and electro optical (EO) sensors for multi-target tracking applications. We proposed a joint multi-modal sensing mode based on using dynamic agility selection to optimize the tracking performance of multiple maneuvering targets. The proposed method jointly designs waveforms for radar sensing and resolution switching modes for EO sensing, when both sensor measurements experience high false alarm rates. Rao-Blackwellized particle filtering is used to track an unknown number of targets within an adaptive framework that yields the optimized joint sensor configuration. We demonstrated the performance of the proposed adaptive tracking system using numerical simulations.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
Pages3890-3893
Number of pages4
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: Mar 14 2010Mar 19 2010

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Country/TerritoryUnited States
CityDallas, TX
Period3/14/103/19/10

Keywords

  • Multi-modal sensing
  • Multiple target tracking
  • Rao-Blackwellized particle filter
  • Waveform-agile sensing

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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