Algorithm design for parallel implementation of the SMC-PHD filter
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- 作者：Tiancheng Lia ; b ; tiancheng.li1985@gmail.com" class="auth_mail" title="E-mail the corresponding author ; t.c.li@usal.es" class="auth_mail" title="E-mail the corresponding author ; Shudong Sunb ; sdsun@nwpu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Miodrag Boli膰c ; mbolic@site.uottawa.ca" class="auth_mail" title="E-mail the corresponding author ; Juan M. Corchadoa ; d ; corchado@usal.es" class="auth_mail" title="E-mail the corresponding author
- 关键词：Multi-target tracking ; Particle filter ; Probability hypothesis density filter ; Parallelization
- 刊名：Signal Processing
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：119
- 期：Complete
- 页码：115-127
- 全文大小：1185 K
文摘
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An algorithmic framework for parallel SMC-PHD filtering is proposed.
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All the main calculations of the filter are unbiasedly paralleled.
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The parallelization obtains theoretically the same result as the serial implementation.
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Considerable speed-up is gained.