Temporal fusion in multi-sensor target tracking systems

Ruixin Niu, Pramod Varshney, Kishan Mehrotra, Chilukuri Mohan

Research output: Contribution to conferencePaper

7 Scopus citations

Abstract

For a multi-sensor tracking system, the effects of temporally staggered sensors are investigated and compared with synchronous sensors. To make fair comparisons, a new metric, the average estimation error variance, is defined. Many analytical results are derived for sensors with equal measurement noise variance. Temporally staggered sensors always result in a smaller average error variance than synchronous sensors. The corresponding optimal staggering pattern is such that the sensors are uniformly distributed over time. For sensors with different measurement noise variances, the optimal staggering pattern can be found numerically. Intuitive guidelines on selecting optimal staggering pattern have been presented for different target tracking scenarios.

Original languageEnglish (US)
Pages1030-1037
Number of pages8
DOIs
StatePublished - Jan 1 2002
Event5th International Conference on Information Fusion, FUSION 2002 - Annapolis, MD, United States
Duration: Jul 8 2002Jul 11 2002

Other

Other5th International Conference on Information Fusion, FUSION 2002
CountryUnited States
CityAnnapolis, MD
Period7/8/027/11/02

Keywords

  • A-B filter
  • Asynchronous sensors
  • Multi-sensor systems
  • Sensor fusion
  • Target tracking

ASJC Scopus subject areas

  • Information Systems

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    Niu, R., Varshney, P., Mehrotra, K., & Mohan, C. (2002). Temporal fusion in multi-sensor target tracking systems. 1030-1037. Paper presented at 5th International Conference on Information Fusion, FUSION 2002, Annapolis, MD, United States. https://doi.org/10.1109/ICIF.2002.1020925