A linear multisensor PHD filter using the measurement dimension extension approach

Authors:
Weifeng Liu;Chenglin Wen
Affiliations:
Hangzhou Dianzi University, Hangzhou Zhejiang, China;Hangzhou Dianzi University, Hangzhou Zhejiang, China
Venue:
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Year:
2011

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Abstract

The common probability hypothesis density (PHD) fiter is derived under the single sensor condition. The multisensor PHD (MPHD) filter is remarkably complex and thus is impractical to use. Mahler proposed a MPHD filter under the assumption of independence of all senors. This paper studies the linear multisensor-multitarget system.We propose a linear multisensor probability hypothesis density (LMPHD) filter. By combining measurement dimension extension (MDE) approach, we consider linear correlation of all sensors. A simulation is finally proposed to verify the effective of the L-MPHD filter.