CAJ | 학술논문

采用独立跟踪区域的划分和公共量测点数据的去藕聚类技术,将原本只适用于单目标跟踪的概率数据关联(PDA)算法改造成能够在强杂波环境中跟踪多个点状目标交叉运动的情况.该算法比传统基于JPDA(联合数据关联)的多目标跟踪算法的计算量和复杂度都小.仿真试验表明,该跟踪算法具有高精度的跟踪性能.
채용독립근종구역적화분화공공량측점수거적거우취류기술,장원본지괄용우단목표근종적개솔수거관련(PDA)산법개조성능구재강잡파배경중근종다개점상목표교차운동적정황.해산법비전통기우JPDA(연합수거관련)적다목표근종산법적계산량화복잡도도소.방진시험표명,해근종산법구유고정도적근종성능.
In this paper,Probability Data Association(PDA) which is used to track a target originally is improved.The improved method can track dim point cross-moving multi-target in heavy clutter by adopting the division of independent tracking areas and the decoupling and clustering of the public measurement.This paper's algorithm has the smaller computational load and computational complexity than the traditional tracking algorithm based on Joint Probabilistic Data Association (JPDA).Simulation result demonstrate that this tracking algorithm has high quality of tracking.