航空学报 > 2022, Vol. 43 Issue (8): 325644-325644   doi: 10.7527/S1000-6893.2021.25644

基于平行线坐标变换的检测前跟踪算法

薄钧天1, 王国宏1, 于洪波1, 彭志刚2   

  1. 1. 海军航空大学 信息融合研究所, 烟台 264001;
    2. 海军航空大学 青岛校区, 青岛 266041
  • 收稿日期:2021-04-12 修回日期:2022-08-25 出版日期:2022-08-15 发布日期:2022-09-05
  • 通讯作者: 薄钧天,E-mail:752284662@qq.com E-mail:752284662@qq.com
  • 基金资助:
    国家自然科学基金(61731023,61701519,61671462);山东省自然科学基金(ZR2020MF015)

Track before detect algorithm based on parallel-line-coordinate transformation

BO Juntian1, WANG Guohong1, YU Hongbo1, PENG Zhigang2   

  1. 1. Institute of Information Fusion, Naval Aeronautical University, Yantai 264001, China;
    2. Qingdao Branch, Naval Aeronautical University, Qingdao 266041, China
  • Received:2021-04-12 Revised:2022-08-25 Online:2022-08-15 Published:2022-09-05
  • Supported by:
    Notional Natural Science Foundation of China (61731023,61701519,61671462);Shandong Province Natural Science Foundation (ZR2020MF015)

摘要: 针对微弱目标检测对提高检测概率和优化实时性的需求,提出一种平行线坐标变换检测前跟踪算法。首先将量测点坐标映射为径向距离-时间坐标并规格化,建立以y轴为对称轴的平行线,按照变换规则实现点到线的转化,网格化平面后进行票数积累和能量积累,再进行峰值提取与航迹修正,后输出航迹。仿真结果显示:基于平行线坐标变换检测前跟踪(PT-TBD)算法的检测概率要优于基于Hough变换的检测前跟踪(HT-TBD)算法,二者虚假航迹率相近,运算速度要快于HT-TBD算法,是一种新的效果更好的基于投影变换的检测前跟踪算法。

关键词: 微弱目标, 平行线坐标变换, 非相参积累, 检测前跟踪, 积累损失

Abstract: To optimize the real-time performance of target detection, a track-before-detect algorithm is proposed based on parallel-line-coordinate transformation. First, the measurement point coordinates are mapped to the radial distance-time coordinate and normalized and a parallel line with the y axis as the symmetrical axis is established, and then point-to-line conversion is realized according to transformation rules. After the plane is gridded, the number of votes and energy are accumulated, and then peak extraction and track correction are performed. Finally, the track of the target is output. The simulation results show that the detection probability of the Parallel-line-coordinate Transformation based Track-Before-Detect (PT-TBD) algorithm is better than that of the modified Hough Transformation based Track-Before-Detect (HT-TBD) algorithm, the false track rate of the two is similar, and the calculation speed of the PT-TBD is faster than that of the HT-TBD algorithm.

Key words: weak target, parallel-line-coordinate transformation, non-coherent accumulation, track before detect, accumulated loss

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