Heuristic Algorithm-Based Initiation Method of Probability Hypothesis Density Filter for Target Tracking

doi:10.16183/j.cnki.jsjtu.2018.01.010

Abstract

Abstract: The heuristic algorithm-based initiation method under the probability hypothesis density (PHD) framework is suggested, i.e., the constraints which involve velocity, acceleration and angle of maneuvering targets are adopted in a sliding window, and the most unwanted newborn intensity can be removed. Simulation results show that the proposed method can effectively reduce the intensity quantity of newborn targets, and the computational cost is reduced. Meanwhile, estimation accuracy involved state and target number is enhanced explicitly.

Key words: target tracking, track initiation, probability hypothesis density (PHD) filter, heuristic algorithm

CLC Number:

V 249.122

LI Tantan,LEI Ming. Heuristic Algorithm-Based Initiation Method of Probability Hypothesis Density Filter for Target Tracking[J]. Journal of Shanghai Jiaotong University, 2018, 52(1): 63-69.

References

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