15 July 1999 Fusion algorithm for multisensor target tracking in nonlinear systems
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chunling Yang, Chunling Yang, Quan-Zhan Zheng, Quan-Zhan Zheng, Guo-Sui Liu, Guo-Sui Liu, } "Fusion algorithm for multisensor target tracking in nonlinear systems", Proc. SPIE 3692, Acquisition, Tracking, and Pointing XIII, (15 July 1999); doi: 10.1117/12.352870; https://doi.org/10.1117/12.352870
PROCEEDINGS
9 PAGES


SHARE
Back to Top