基于当前统计模型的VDA机动目标跟踪算法

A Viterbi Data Association Algorithm Based on Current Statistical Model for Maneuvering Target Tracking in Over-the-Horizon Radar

针对天波超视距雷达环境下的机动目标跟踪问题,提出一种基于当前统计模型的VDA机动目标跟踪算法。该算法将当前统计模型与VDA(Viterbi数据关联)算法相结合,在VDA算法框架下,利用当前模型算法对目标出现的机动进行自适应滤波,以解决目标状态估计和数据关联两方面的问题。通过目标漏跟率、虚假航迹占有率、航迹自动起始时延、输出航迹条数和航迹跟踪精度等多种跟踪性能指标,对算法进行了全方面的仿真验证。仿真结果表明,对天波超视距雷达所面临的密集杂波环境,该算法能够较好地跟踪机动目标。

To the problem of maneuvering target tracking in association algorithm based on current statistical model （CS-VDA combines the current statistical model with the Viterbi data asso resolve the state estimation of a maneuvering target with current association is used to resolve association problem. Simulation resu efficient for maneuvering target tracking in dense clutter environm over-the-horizon radar, a Viterbi data ） is proposed. The CS-VDA algorithm ciation. When this algorithm is used to statistical a Its show tha ent of over-t lgorithm, the Viterbi data t the CS-VDA algorithm is he-horizon radar system.