Modified Particle Filtering for Wireless Tracking in Digital Broadcasting System

Abstract

Digital broadcasting signal has the unique advantages for wireless location. In this paper, the pseudo-range measurement method based on OFDM signals is introduced. A mathematical model for wireless location and tracking is presented, which exploits the feature of continuous signal transmission at a fixed rate in digital broadcasting systems. After analyzing the disadvantage of classical particle filtering, i.e. sequential important sampling (SIR) filtering, a new particle filtering method using important sampling function based on EKF bank is proposed. Simulation showed that compared with the EKF and SIR particle filtering, the new algorithm can improve the estimation precision, and converge faster.

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Cite this paper

@article{Chen2008ModifiedPF, title={Modified Particle Filtering for Wireless Tracking in Digital Broadcasting System}, author={Liang Chen and Huanzhong Zou and Lenan Wu and Hongmei Hu}, journal={2008 4th International Conference on Wireless Communications, Networking and Mobile Computing}, year={2008}, pages={1-4} }