复杂干扰杂波环境下三维目标检测前跟踪算法
2024,46(5):26-36
薄钧天
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033，bojuntian@163.com,jiahao.z@hotmail.com
张嘉毫
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033，bojuntian@163.com,jiahao.z@hotmail.com
于洪波
海军航空大学 信息融合研究所, 山东 烟台 264001
张翔宇
海军航空大学青岛校区 航空电子工程与指挥系, 山东 青岛 266041
罗峰谊
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033
俞溪
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033
李伟
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033
王衡峰
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033
孟进
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033，bojuntian@163.com,jiahao.z@hotmail.com
张嘉毫
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033，bojuntian@163.com,jiahao.z@hotmail.com
于洪波
海军航空大学 信息融合研究所, 山东 烟台 264001
张翔宇
海军航空大学青岛校区 航空电子工程与指挥系, 山东 青岛 266041
罗峰谊
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033
俞溪
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033
李伟
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033
王衡峰
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033
孟进
海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033
摘要：
针对因随机假目标干扰、强杂波存在的复杂环境中三维目标检测问题,提出一种基于平行线坐标变换的多层次检测前跟踪算法。雷达量测点被先后置于规格化后的径向距离-时间平面、方位角-时间平面和俯仰角-时间平面分层次进行非相参积累和点迹筛选,每次筛选只对上一层的筛选结果进行处理,再根据先验信息进行航迹约束和航迹融合,得到最终检测结果。通过仿真对算法进行性能验证和分析,结果显示,该算法在不同信干杂比、量测误差和杂波密度下均能有效滤除虚假量测点,实现真实航迹的检测。
针对因随机假目标干扰、强杂波存在的复杂环境中三维目标检测问题,提出一种基于平行线坐标变换的多层次检测前跟踪算法。雷达量测点被先后置于规格化后的径向距离-时间平面、方位角-时间平面和俯仰角-时间平面分层次进行非相参积累和点迹筛选,每次筛选只对上一层的筛选结果进行处理,再根据先验信息进行航迹约束和航迹融合,得到最终检测结果。通过仿真对算法进行性能验证和分析,结果显示,该算法在不同信干杂比、量测误差和杂波密度下均能有效滤除虚假量测点,实现真实航迹的检测。
基金项目：
国家重点研发计划资助项目(2021YFF1500100)；国家杰出青年科学基金资助项目(52025072)；中国科协青年人才托举工程资助项目(2021-JCJQ-QT-009)；电磁能技术全国重点实验室基金资助项目(6142217210501,614221720200106)
国家重点研发计划资助项目(2021YFF1500100)；国家杰出青年科学基金资助项目(52025072)；中国科协青年人才托举工程资助项目(2021-JCJQ-QT-009)；电磁能技术全国重点实验室基金资助项目(6142217210501,614221720200106)
3D target track before detect algorithm in complex environment with interference and clutter
BO Juntian
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China,bojuntian@163.com,jiahao.z@hotmail.com
ZHANG Jiahao
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China,bojuntian@163.com,jiahao.z@hotmail.com
YU Hongbo
Institute of Information Fusion, Naval Aeronautical University, Yantai 264001, China
ZHANG Xiangyu
Department of Avionics Engineering and Command, Qingdao Branch of Naval Aeronautical University, Qingdao 266041, China
LUO Fengyi
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
YU Xi
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
LI Wei
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
WANG Hengfeng
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
MENG Jin
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China,bojuntian@163.com,jiahao.z@hotmail.com
ZHANG Jiahao
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China,bojuntian@163.com,jiahao.z@hotmail.com
YU Hongbo
Institute of Information Fusion, Naval Aeronautical University, Yantai 264001, China
ZHANG Xiangyu
Department of Avionics Engineering and Command, Qingdao Branch of Naval Aeronautical University, Qingdao 266041, China
LUO Fengyi
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
YU Xi
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
LI Wei
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
WANG Hengfeng
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
MENG Jin
National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
Abstract：
Aiming at the problem of 3D target detection in complex environment with random false target interference and strong clutter, a multi-level track before detect algorithm based on the parallel-line-coordinate transformation was proposed. Radar measurement points were placed in the normalized radial range-time plane, azimuth-time plane and pitch angle-time plane successively, the non-coherent accumulation and points filtering were carried out in each level, and each level was processed only on the results of the previous level. Based on the prior information, track constraint and track fusion were carried out to obtain the final detection result. The performance of the algorithm was verified and analyzed through simulation. The results show that the proposed algorithm can effectively filter out false measurement points and achieve the detection of real tracks under different signal-to-interference clutter ratios, measurement errors, and clutter density.
Aiming at the problem of 3D target detection in complex environment with random false target interference and strong clutter, a multi-level track before detect algorithm based on the parallel-line-coordinate transformation was proposed. Radar measurement points were placed in the normalized radial range-time plane, azimuth-time plane and pitch angle-time plane successively, the non-coherent accumulation and points filtering were carried out in each level, and each level was processed only on the results of the previous level. Based on the prior information, track constraint and track fusion were carried out to obtain the final detection result. The performance of the algorithm was verified and analyzed through simulation. The results show that the proposed algorithm can effectively filter out false measurement points and achieve the detection of real tracks under different signal-to-interference clutter ratios, measurement errors, and clutter density.
收稿日期：
2022-11-09
2022-11-09
