提出基于启发式逻辑的概率假设密度(PHD)滤波航迹起始方法，即在固定长度滑窗内设置速度、加速度与角度等约束条件，对产生新生目标的潜在量测进行有效性检测和确认，以缩减虚假新生目标.模拟实验结果表明，与传统的基于全量测起始的PHD滤波相比，所提出的方法大幅提高了计算效率和目标数目的估计精度.
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.
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