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An Adaptive Particle Local PHD Filter
Received date: 2014-10-21
Online published: 2025-05-28
Filter with standard particle probability assumption is of less accuracy and larger computation complexity. To solve the problem, an adaptive particle local PHD filter algorithm was proposed. The approach makes use of accelerate covariance to adjust adaptive gate, the size of which changes according to target movement condition. The object region and clutter region are separated, part of clutter eliminated, and particle PHD filter is performed in each region separately, with simulation at last. The simulation reveals that compared with standard PHD filter, the amount of calculation is reduced while the precision increases.
Key words： particle PHD; local PHD; adaptive
TONG Qian , LI HongYan , WEI Zhang , MAO Shaofeng , Lu Chuanguo . An Adaptive Particle Local PHD Filter[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2015 , 35(5) : 25 -29 . DOI: 10.15892/j.cnki.djzdxb.2015.05.007
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