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Volume 32 Issue 10
Dec.  2010
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Gao Qing-Hua, Jin Ming-Lu, Wang Jie, Wang Hong-Yu. A Tracking Algorithm Based on Probability Density Propagation[J]. Journal of Electronics & Information Technology, 2010, 32(10): 2410-2414. doi: 10.3724/SP.J.1146.2009.01404
Citation: Gao Qing-Hua, Jin Ming-Lu, Wang Jie, Wang Hong-Yu. A Tracking Algorithm Based on Probability Density Propagation[J]. Journal of Electronics & Information Technology, 2010, 32(10): 2410-2414. doi: 10.3724/SP.J.1146.2009.01404

A Tracking Algorithm Based on Probability Density Propagation

doi: 10.3724/SP.J.1146.2009.01404
  • Received Date: 2009-10-29
  • Rev Recd Date: 2010-05-25
  • Publish Date: 2010-10-19
  • 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 distributions 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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