西安电子科技大学学报

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采用动态规划的机动目标检测前跟踪算法

陈帅霖;罗丰;张林让;胡冲;陈世超   

  1. (西安电子科技大学 雷达信号处理国家重点实验室,陕西 西安 710071)
  • 收稿日期:2016-10-18 出版日期:2017-10-20 发布日期:2017-11-29
  • 作者简介:陈帅霖(1986-), 男, 西安电子科技大学博士研究生, E-mail: chenshuailin@live.cn
  • 基金资助:

    国家部委基金资助项目(4010101030101)

Maneuvering target track-before-detect method using dynamic programming

CHEN Shuailin;LUO Feng;ZHANG Linrang;HU Chong;CHEN Shichao   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China)
  • Received:2016-10-18 Online:2017-10-20 Published:2017-11-29

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.

关键词: 检测前跟踪, 动态规划, 机动目标, 加权矩阵

Abstract:

The maneuverability coverage of the traditional dynamic programming track-before-detect (DP-TBD) algorithm is limited to the range of the default valid state transitions. To overcome the above limitation, a novel DP-TBD algorithm suitable for maneuvering targets is proposed. By means of state transitions optimizing, the efficiency of the status searching for the maneuvering target is improved, and the searching range is extended. Through transfer speed weighting, the energy accumulation can be carried out according to the target motion tendency. Without altering the input parameters, the proposed method can detect targets with both strong and weak maneuverability. The performance of the proposed algorithm and that of the traditional method are compared through simulation experiments. The applicability of the algorithm is verified by real measured data.

Key words: track-before-detect (TBD), dynamic programming (DP), maneuvering target, weighting matrix