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Proceedings Paper

Data and sensor fusion for bistatic applications
Author(s): Anne L. Lee
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Paper Abstract

Detection and tracking of sophisticated targets involving increased resolution and the utility of synthetic aperture transmitter windows require new and innovative approaches to active sensor technologies. The bistatic technique to target tracking is extended to form a multistatic radar system using multiple and separate transmitters and receivers that are designated sparsely located in a region. The fusion of the received data through the utility of a non-linear Kalman filter technique is discussed to predict track through observations from the multistatic system. Target positions and velocities are estimated and the error is shown to converge to zero. The Munkre algorithm is utilized for data and track association to improve error minimization.

Paper Details

Date Published: 17 March 2008
PDF: 10 pages
Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 69740G (17 March 2008); doi: 10.1117/12.777184
Show Author Affiliations
Anne L. Lee, Walden Univ. (United States)


Published in SPIE Proceedings Vol. 6974:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008
Belur V. Dasarathy, Editor(s)

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