Share Email Print
cover

Proceedings Paper

Real-time target tracking simulations in large disparate sensor networks
Author(s): Hong Lin; John Rushing; Sara Graves; Evans Criswell; Steve Tanner
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Real-time target tracking in large disparate sensor networks has been simulated with a parallelized search based data fusion algorithm using a simulated annealing approach. The networks are composed of large numbers of low fidelity binary and bearing-only sensors, and small numbers of high fidelity position sensors over a large region. The primitive sensors provide limited information, not sufficient to locate targets; the position sensors can report both range and direction of the targets. Target positions are determined through fusing information from all types of sensors. A score function, which takes into account the fidelity of sensors of different types, is defined and used as the evaluation function for the optimization search. The fusion algorithm is parallelized using spatial decomposition so that the fusion process can finish before the arrival of the next set of sensor data. A series of target tracking simulations are performed on a Linux cluster with communication between nodes facilitated by the Message Passing Interface (MPI). The probability of detection (POD), false alarm rate (FAR), and average deviation (AVD) are used to evaluate the network performance. The input target information used for all the simulations is a set of target track data created from a theater level air combat simulation.

Paper Details

Date Published: 9 April 2007
PDF: 9 pages
Proc. SPIE 6571, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007, 65710K (9 April 2007); doi: 10.1117/12.719608
Show Author Affiliations
Hong Lin, Univ. of Alabama in Huntsville (United States)
John Rushing, Univ. of Alabama in Huntsville (United States)
Sara Graves, Univ. of Alabama in Huntsville (United States)
Evans Criswell, Univ. of Alabama in Huntsville (United States)
Steve Tanner, Univ. of Alabama in Huntsville (United States)


Published in SPIE Proceedings Vol. 6571:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007
Belur V. Dasarathy, Editor(s)

© SPIE. Terms of Use
Back to Top