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Passive stationary target positioning using adaptive particle filter with TDOA and FDOA measurements

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3 Author(s)
Ping Zou ; Dept. of Electron. Eng., Tsinghua Univ., Beijing, China ; Huang, Zhen ; Jianhua Lu

Combined measurement with TDOA and FDOA is a promising technique in passive localization. However, this method likely demands massive computations, while leads to inaccurate results due to difficult linear approximation. In this paper, a new algorithm based upon an adaptive particle filter is proposed. This algorithm may converge to a desired result in real-time by using only a few particles. Simulation results show that, compared with traditional methods, the new method may achieve significant improvement in the accuracy of localization while reaching the Cramer-Rao lower bound (CRLB) in low noise level conditions.

Published in:
Communications, 2004 and the 5th International Symposium on Multi-Dimensional Mobile Communications Proceedings. The 2004 Joint Conference of the 10th Asia-Pacific Conference on  (Volume:1 )

Date of Conference: 29 Aug.-1 Sept. 2004

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