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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.
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