26 May 1995 New architectures for centralized multisensor multitarget tracking
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Abstract
In this paper, two new centralized tracking systems are proposed. The first system employs a fusion center to preprocess multisensor measurements. In the fusion center, a novel multisensor track initiation processor based on the logic-based initiation concept is used to determine new tracks. The output of the fusion center are fused measurements which are sent to a multitarget tracker, such as nearest neighbor or joint probabilistic data association filter, to produce the global state estimates. The second centralized system is a fully centralized tracking architecture in the sense it does not use fusion as a preprocessor as in the first case. In this system, multisensor data association and multisensor track initiation are used with a standard Kalman filter to perform multisensor tracking. Both centralized tracking systems are evaluated in various tracking environments. Comparisons between the two systems indicate that the first system is more efficient in eliminating clutters. The second one requires fewer scans to initiate tracks and has better performance and a lower computational complexity.
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Yifeng Li, Henry Leung, Titus K. Y. Lo, John Litva, "New architectures for centralized multisensor multitarget tracking", Proc. SPIE 2468, Acquisition, Tracking, and Pointing IX, (26 May 1995); doi: 10.1117/12.210423; https://doi.org/10.1117/12.210423
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