Improved Gaussian mixture probability hypothesis density smoother
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- 作者：Xiangyu He ; hexy@stu.xidian.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Guixi Liu
- 关键词：Gaussian mixture ; Probability hypothesis density ; Filtering ; Smoothing ; Target tracking
- 刊名：Signal Processing
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：120
- 期：Complete
- 页码：56-63
- 全文大小：872 K
文摘
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An improved GM-PHD smoother is proposed.
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The modified survival probability used in backward smoothing is developed.
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A modified backward corrector based on the original formulation is presented.
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Our algorithm overcomes the existing drawbacks in standard GM-PHD smoother.
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The superiority of our algorithm has been verified by simulation results.