Temporally staggered sensors in multi-sensor target tracking systems

Ruixin Niu, Pramod K. Varshney, Kishan Mehrotra, Chilukuri Mohan

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

For a multi-sensor target tracking system, the effects of temporally staggered sensors on system performance are investigated and compared with those of synchronous sensors. To capture system performance over time, a new metric, the average estimation error variance (AEV), is proposed. For a system that has N sensors with equal measurement noise variance, numerical results show that the optimal staggering pattern is to use N uniformly staggered sensors. We have also shown analytically that the AEV of the system with N uniformly staggered sensors is always smaller than that of the system with N synchronous sensors. For sensors with di fferent measurement noise variances, the optimal staggering pattern can be found numerically. Practical guidelines on selecting the optimal staggering pattern have been presented for different target tracking scenarios. Due to its simplicity, uniform staggering can be used as an alternative scheme with relatively small performance degradation.

Original languageEnglish (US)
Pages (from-to)794-808
Number of pages15
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume41
Issue number3
DOIs
StatePublished - Jul 1 2005

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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