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A Tracking Algorithm Based on Probability Density Propagation |
Gao Qing-hua Jin Ming-lu Wang Jie Wang Hong-yu |
School of Electronics and Information Engineering, Dalian University of Technology, Dalian 116023, China |
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Abstract A tracking algorithm based on probability density propagation which can deal with non-linear and non-Gaussian issues is proposed. The Gaussian mixture model is adopted to represent the prior density distribution, posterior density distribution and likelihood distribution. The unscented transformation is used to deal with the non-linear prediction and approximation method is used to achieve the posterior density distribution. Finally, the weighted centroid point of the posterior density distribution’s different modes is calculated and set as the current position of the target. Simulation results indicate that the proposed algorithm can deal with the tracking task in wireless sensor network under strong noise.
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Received: 29 October 2009
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Corresponding Authors:
Gao Qing-hua
E-mail: qhgao@dlut.edu.cn
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