| 引用本文: | 薄钧天,张嘉毫,于洪波,等.复杂干扰杂波环境下三维目标检测前跟踪算法.[J].国防科技大学学报,2024,46(5):26-36.[点击复制] |
| BO Juntian,ZHANG Jiahao,YU Hongbo,et al.3D target track before detect algorithm in complex environment with interference and clutter[J].Journal of National University of Defense Technology,2024,46(5):26-36[点击复制] |
|
| |
|
|
| 本文已被：浏览 995次 下载 494次 |
| 复杂干扰杂波环境下三维目标检测前跟踪算法 |
| 薄钧天1,张嘉毫1,于洪波2,张翔宇3,罗峰谊1,俞溪1,李伟1,王衡峰1,孟进1 |
|
(1. 海军工程大学 电磁能技术全国重点实验室, 湖北 武汉 430033;2. 海军航空大学 信息融合研究所, 山东 烟台 264001;3. 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)
|
| 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。 |
| 关键词: 目标检测 干扰杂波 平行线坐标变换 检测前跟踪 雷达 非相参积累 |
| DOI：10.11887/j.cn.202405004 |
| 投稿日期：2022-11-09 |
| 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) |
|
| 3D target track before detect algorithm in complex environment with interference and clutter |
| BO Juntian1, ZHANG Jiahao1, YU Hongbo2, ZHANG Xiangyu3, LUO Fengyi1, YU Xi1, LI Wei1, WANG Hengfeng1, MENG Jin1 |
|
(1. National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China;2. Institute of Information Fusion, Naval Aeronautical University, Yantai 264001, China;3. Department of Avionics Engineering and Command, Qingdao Branch of Naval Aeronautical University, Qingdao 266041, 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. |
| Keywords: target detection interference and clutter parallel-line-coordinate transformation track before detect radar non-coherent accumulation |
 |
|
|
|
|
|
