该文提出一种具有恒虚警性质的检测跟踪联合处理算法。目的是在跟踪波门内平均虚警概率恒定的前提下,提升目标的平均检测概率和系统的跟踪性能。首先,该文结合跟踪器的反馈信息利用贝叶斯准则对传统的似然比检测器进行了修正,并给出了相应的判决表达式。而后,该文在给出了跟踪波门内平均检测概率和虚警概率的计算表达式。将其代入概率数据互联(PDA)算法互连概率的计算公式中,即可获取该算法的流程。最后,仿真实验验证了该算法的可行性和有效性。
A joint detection and tracking processing algorithm is proposed in this paper with constant false alarm rate property. Under the precondition that the average false alarm rate of the gate is fixed, the aim is to improve the target detection probability as well as the tracking performance of the system. Firstly, according to the Bayes theory, the likelihood ratio detector is modified with the adoption of the feedback from the tracker. Then, the averaged detection probability and false alarm rate over the gate is derived. Substituting them into the calculation of the association probability of the Probabilistic Data Association (PDA) filter, the procedure of the proposed algorithm is obtained. Finally, the feasibility and validity of the algorithm are verified by the simulation results.