掠海机动目标跟踪的IPDA算法

Research on IPDA Algorithm for Low Elevation Sea-surface Maneuvring Target Tracking

综合概率数据关联(IPDA)算法不仅能进行目标状态估计,还能提供对潜在目标的存在性/可感知性/可观测性概率的估计。这些估计通常作为评价航迹质量的参数,用于航迹确认和航迹终止。所研究的几种跟踪算法主要针对低空掠海飞行的机动目标,目标探测概率受海面信号反射导致的多路径效应和海杂波的影响而变化,将IPDA算法和EB-PDA、IMM PDA算法进行了比较研究,并提出了一种新的IPDA算法-VM-IPDA算法。仿真结果显示,VM-IPDA算法跟其他几种算法相比不仅提高准确性还能减少计算量。

The Integrated Probabilistic Data Association （IPDA）algorithm provide estimates of the underlying target probability of existence /perceivability/visibility as well as track state maintenance. These quantities are conveniently used as track quality measures and can be used for track confirmation and termination. The probability of detection can be severely affected by multipath fading. In this work IPDA, EB-PDA, IMMPDA are investigated and evaluated in a low elevation sea-surface target tracking scenario. A new IPDA algorithm- VM-IPDA is proposed. The simulation results indicate that this algorithm not only improves the accuracy but also reduces computational load.