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Proceedings Paper

Fusion algorithm for multisensor target tracking in nonlinear systems
Author(s): Chunling Yang; Quan-Zhan Zheng; Guo-Sui Liu
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Paper Abstract

Mainly studies multisensor data fusion algorithm for target tracking in nonlinear systems. Proposes the distributed fusion algorithm based on Converted Measurement Kalman Filter (CMKF). From theory, it is derived that distributed converted CMKF algorithm (DCMKFA) can nearly reconstruct centralized fusion estimate based on CMKF. Simulations proved this conclusion. So DCMKFA is a better distributed fusion algorithm for target tracking in nonlinear systems.

Paper Details

Date Published: 15 July 1999
PDF: 9 pages
Proc. SPIE 3692, Acquisition, Tracking, and Pointing XIII, (15 July 1999); doi: 10.1117/12.352870
Show Author Affiliations
Chunling Yang, Nanjing Univ. of Science and Technology (China)
Quan-Zhan Zheng, Nanjing Univ. of Science and Technology (China)
Guo-Sui Liu, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 3692:
Acquisition, Tracking, and Pointing XIII
Michael K. Masten; Larry A. Stockum, Editor(s)

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