基于IMM-IPDA的杂波区内机动小目标跟踪研究

跟踪穿行于杂波区中的机动小目标进行跟踪时,面临着目标观测点丢失、目标运动形式实时变化和杂波干扰的问题。针对上述问题,提出了一种改进的交互式多模型的综合概率数据关联(IMM-IPDA)算法,利用目标存在性概率对跟踪滤波过程实施反馈处理,并构建逼真的应用场景,进行杂波区内机动小目标跟踪研究,对不同检测概率下的目标跟踪效果进行了评估分析,分析结果对于雷达在实际环境下的对海目标跟踪有一定的工程应用价值。

A Study on Maneuvering Small Target Tracking in a Cluttered Environment Based on IMM-IPDA

While tracking the maneuvering small targets crossing the clutter, there are three major problems for RADAR: loss of the measurement of target, real-time change of the kinetic form and the jamming of clutter. According to the above problems, a modified IMM-IPDA is proposed in this paper. By using existence probability of targets, some manipulation is fed back to the process of tracking and filtering. Based on the realistic application scenarios created in this paper, the maneuvering small target tracking in a cluttered environment is studied. Meanwhile, the effect of target tracking is evaluated and analyzed based on different detection probability. Some analysis results of value are also provided for radar engineering application in actual environment.