采用动态规划的机动目标检测前跟踪算法

发布时间：2018-01-22 06:32

本文关键词： 检测前跟踪动态规划机动目标加权矩阵　出处：《西安电子科技大学学报》2017年05期 　论文类型：期刊论文

【摘要】：针对传统的动态规划检测前跟踪算法能够覆盖的目标机动范围受限于预设的有效状态转移范围的缺陷,提出了一种新的适用于机动目标的动态规划检测前跟踪算法.通过状态转移方式优化,提高了对机动目标的状态搜索效率,增大了搜索范围;通过转移速度加权,使新算法能够按照机动目标的运动趋势进行能量积累.所提算法在不改变参数的情况下,对强机动与弱机动目标都能够进行准确检测.通过仿真实验对所提算法与传统算法进行了对比分析,采用实测数据验证了该算法的适用性.
[Abstract]:Aiming at the limitation that the traditional dynamic programming detection pre-tracking algorithm can cover the maneuvering range of the target is limited by the preset effective state transition range. In this paper, a new tracking algorithm for dynamic programming detection of maneuvering targets is proposed. The state search efficiency and the search range of maneuvering targets are improved by optimizing the state transfer mode. The new algorithm can accumulate energy according to the moving trend of maneuvering target by the weight of transfer velocity. The proposed algorithm does not change the parameters. Both strong maneuvering and weak maneuvering targets can be detected accurately. The proposed algorithm is compared with the traditional algorithm through simulation experiments, and the applicability of the algorithm is verified by the measured data.
【作者单位】：西安电子科技大学雷达信号处理国家重点实验室;
【基金】：国家部委基金资助项目(4010101030101)
【分类号】：TN957.51
【正文快照】： 检测前跟踪(Track-Before-Detect,TBD)技术是一种检测与跟踪弱小目标的有效方法[1-2],基于动态规划(Dynamic Programming,DP)的TBD算法原理清晰,性能优良,是近年来的研究热点.根据积累值函数构造方法的不同,动态规划检测前跟踪(Dynamic Programming-Track-Before-Detect,DP-TB

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