Share Email Print
cover

Proceedings Paper

Large-scale optimal sensor array management for target tracking
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Large-scale sensor array management has applications in a number of target tracking problems. For example, in ground target tracking, hundreds or even thousands of unattended ground sensors (UGS) may be dropped over a large surveillance area. At any one time it may then only be possible to utilize a very small number of the available sensors at the fusion center because of bandwidth limitations. A similar situation may arise in tracking sea surface or underwater targets using a large number of sonobuoys. The general problem is then to select a subset of the available sensors in order to optimize tracking performance. The Posterior Cramer-Rao Lower Bound (PCRLB), which quantifies the obtainable accuracy of target state estimation, is used as the basis for network management. In a practical scenario with even hundreds of sensors, the number of possible sensor combinations would make it impossible to enumerate all possibilities in real-time. Efficient local (or greedy) search techniques must then be used to make the computational load manageable. In this paper we introduce an efficient search strategy for selecting a subset of the sensor array for use during each sensor change interval in multi-target tracking. Simulation results illustrating the performance of the sensor array manager are also presented.

Paper Details

Date Published: 5 January 2004
PDF: 12 pages
Proc. SPIE 5204, Signal and Data Processing of Small Targets 2003, (5 January 2004); doi: 10.1117/12.504873
Show Author Affiliations
Ratnasingham Tharmarasa, McMaster Univ. (Canada)
Thiagalingam Kirubarajan, McMaster Univ. (Canada)
Marcel L. Hernandez, QinetiQ Ltd. (United Kingdom)


Published in SPIE Proceedings Vol. 5204:
Signal and Data Processing of Small Targets 2003
Oliver E. Drummond, Editor(s)

© SPIE. Terms of Use
Back to Top