In order to improve the accuracy of real-time tracking a maneuvering target in clutter, an improved probabilistic data association was proposed based on the weighted distance and using combined interactive multi-model probabilistic data association algorithm. The algorithm can enhance the probability from the target or decrease the probability from the clutter. The improved algorithm has better tracking performance in the dense clutter environment. The improved probabilistic data association algorithm is used as a filter. Simulation results show that the proposed algorithm can improve maneuvering target tracking performance in dense clutter, can also be more effective and reliable to realize maneuvering target tracking.
CHEN Xiao，LI Ya’an，LI Yuxing，YU Jing
. Maneuvering Target Tracking Algorithm Based on
Weighted Distance of Probability Data Association[J]. Journal of Shanghai Jiaotong University, 2018
, 52(4)
: 474
-479
.
DOI: 10.16183/j.cnki.jsjtu.2018.04.013
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