Multi-platform track initiation method in dense clutter environment
ZhongQian Jin, Guanlong Liu, Yao Lu, Jiaqi Zhang, Di Yang, Wang Zhao · 2019
The track initiation is the premise of target tracking. How to reduce the initiation of false track as much as possible under the condition of ensuring the normal initiation of the target, especially the effective reduction of false track in the dense clutter environment is an important direction of track initiation research. Aiming at the problem of track initiation in dense clutter environment, this paper proposes a multiple hypotheses, multiple rules, self-adaption, multi-platform track initiation algorithm combined with clutter filtering technology. The experimental results show that compared with the traditional algorithm, the algorithm has higher track initiation efficiency and clutter suppression effect.