为了保障海域船舶航行安全,提出船舶导航雷达临近空间低动态目标跟踪方法。利用船舶导航雷达探测临近空间低动态目标,获取量测点迹数据,分析低动态飞行器运动对其量测值的影响,根据最小二乘滤波原理,设计基于衰减记忆的最小二乘滤波器,将量测点迹数据转换到雷达直角坐标系上,根据衰减记忆选择量测点迹数据,将其作为基于衰减记忆的最小二乘滤波器的输入数据,确定低动态目标跟踪轨迹坐标,再将其转换到雷达极坐标系上,实现临近空间低动态目标跟踪。实验结果表明,该方法可实现匀速、匀加速运动下临近空间低动态目标跟踪,跟踪轨迹与实际航迹基本重合,其在X、Y、Z方向上的距离均方根误差远低于量测数据均方根误差。
In order to ensure the navigation safety of ships in the sea area, a low dynamic target tracking method in the near space of ship navigation radar is proposed. The ship navigation radar is used to detect low-dynamic targets in the near space, and the measured point trace data is obtained. The influence of low-dynamic aircraft motion on its measured values is analyzed. According to the principle of least square filtering, a least square filter based on attenuation memory is designed, and the measured point trace data is converted to the radar rectangular coordinate system. The measured point trace data is selected according to attenuation memory, which is used as the input data of the least square filter based on attenuation memory, and the tracking coordinates of low-dynamic targets are determined, and then converted to the radar polar coordinate system to realize the tracking of low-dynamic targets in the near space. The experimental results show that this method can realize the tracking of low dynamic targets in the near space under uniform and uniform acceleration motion, and the tracking trajectory basically coincides with the actual trajectory, and the root mean square error of the distance in X, Y and Z directions is much lower than that of the measured data.
2024,46(6): 140-143 收稿日期:2023-12-22
DOI:10.3404/j.issn.1672-7649.2024.06.024
分类号:TN957
作者简介:王群朋(1987-),男,硕士,讲师,研究方向为航海气象与海上交通安全保障
参考文献:
[1] 罗健. 雷达探测临近空间高超声速目标关键技术研究[J]. 雷达科学与技术, 2021, 19(6): 640-650.
LUO Jian. Research on key technologies of radar detection of near space hypersonic weapon[J]. Radar Science and Technology, 2021, 19(6): 640-650.
[2] 李君龙, 周荻, 王冠, 等. 临近空间目标跟踪与预报技术研究[J]. 现代防御技术, 2021, 49(3): 1-12+29.
LI Jun-long, ZHOU Di, WANG Guan, et al. Research on tracking and prediction technology of near space target[J]. Modern Defense Technology, 2021, 49(3): 1-12+29.
[3] 周琳, 刁伟峰, 王祎. 基于可观性分析的高精度空间目标跟踪方法[J]. 雷达科学与技术, 2021, 19(5): 485-490.
ZHOU Lin, DIAO Wei-feng, WANG Wei. A high-precision spatial target tracking method based on observability analysis[J]. Radar Science and Technology, 2021, 19(5): 485-490.
[4] 傅虹景, 贾春宁, 于守江, 等. 一种适用于双波段旋转相控阵雷达的目标跟踪方法[J]. 无线电工程, 2022, 52(9): 1533-1538.
FU Hong-jing, JIA Chun-ning, YU Shou-jiang, et al. A target tracking method suitable for dual band rotating phased array radar[J]. Radio Engineering, 2022, 52(9): 1533-1538.
[5] 王明洋, 任鸿翔, 郑民民. 基于Android的航海雷达仿真训练系统[J]. 计算机仿真, 2020, 37(9): 11-15.
WANG Ming-yang, REN Hong-xiang, ZHENG Min-min. An android based navigation radar simulation training system[J]. Computer Simulation, 2020, 37(9): 11-15.
[6] 乔钢柱, 朱良泽, 丁智慧. 基于多项式最小二乘滤波的时间序列相似性度量[J]. 测试技术学报, 2020, 34(4): 28-33.
QIAO Gang-zhu, ZHU Liang-ze, DING Zhi-hui. Time series similarity measurement based on polynomial least squares filtering[J]. Journal of Testing Technology, 2020, 34(4): 28-33.
[7] 畅言, 鲁金, 罗利强. 一种基于最小二乘的航迹滤波方法[J]. 火控雷达技术, 2021, 50(3): 64-66.
CHANG Yan, LU Jin, LUO Li-qiang. A Track Filtering Method Based On Least Squares[J]. Fire Control Radar Technology, 2021, 50(3): 64-66.