基于拍卖理论的组网雷达多轨道目标ISAR成像资源分配算法

doi:10.12305/j.issn.1001-506X.2025.01.09

摘要/Abstract

摘要：

地基逆合成孔径雷达(inverse synthetic aperture radar，ISAR) 在遂行空间目标观测任务过程中，往往面临着在可观测空域内出现多个空间目标而导致成像任务相互冲突的问题，限制了组网雷达整体观测效能。为解决上述问题，首先探讨了雷达布站位置与空间目标轨道参数对ISAR成像质量的影响，以此为基础提出一种基于拍卖理论的组网雷达多目标ISAR成像资源分配算法。该算法结合成像分辨率对成像积累角的约束作用与目标相对于雷达的等效旋转角速度变化趋势，引入拍卖理论，实现了雷达站址与ISAR成像弧段的优化选择，形成目标、雷达与成像弧段相对应的最优观测方案。仿真实验结果表明，所提算法能够在保证多目标ISAR成像质量要求的前提下降低雷达组网所需观测时长，为提升雷达组网整体观测效能提供一种有效手段与技术支撑。

关键词: 雷达成像资源分配, 轨道参数, 有效转动量, 空间目标逆合成孔径雷达成像

Abstract:

Ground based inverse synthetic aperture radar (ISAR) often faces the problem of conflicting imaging tasks due to the presence of multiple spatial targets in the observable space during space target observation tasks, which limits the overall observation efficiency of networked radar. To address the issues, the influence of radar station placement and spatial target orbit parameters on the quality of ISAR imaging is explored firstly. Based on this, a multiple target ISAR imaging resource allocation algorithm for networked radar based on auction theory is proposed. This algorithm combines the constraint of imaging resolution on imaging accumulation angle with the trend of equivalent rotation angular velocity of the target relative to the radar, and introduces auction theory to optimize the selection of radar station location and ISAR imaging arc segment, forming the optimal observation scheme corresponding to the target, radar, and imaging arc segment. The simulation experiment results show that the proposed algorithm can reduce the observation time required for radar networking while ensuring the quality requirements of multi-target ISAR imaging, providing an effective means and technical support for improving the overall observation efficiency of radar networking.

Key words: radar imaging resource allocation, orbit parameter, effective rotational vector, inverse synthetic aperture radar (ISAR) imaging of space target

中图分类号:

TN957

蒋李兵, 杨庆伟, 郑舒予, 王壮. 基于拍卖理论的组网雷达多轨道目标ISAR成像资源分配算法[J]. 系统工程与电子技术, 2025, 47(1): 81-93.

Libing JIANG, Qingwei YANG, Shuyu ZHENG, Zhuang WANG. Multi-orbit targets ISAR imaging resource allocation algorithm for netted radar based on auction theory[J]. Systems Engineering and Electronics, 2025, 47(1): 81-93.

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经纬度	沈阳	兰州	长沙
经度	123.22	103.40	111.53
纬度	41.80	36.03	28.41

目标编号	TLE数据
Sate 1	1, 38109U, 12014A, 22 108.108 935 92, .000 000 00, 00000-0, 00000-0 0, 9 999 2, 38 109, 40.265 4, 20.456 400 561 25, 00.175 0, 25.012 2, 14.823 846 490 422 55
Sate 2	1, 35937U, 09052A, 22 098.865 138 83, .000 000 00, 00000-0, 00000-0 0, 9 996 2, 35 937, 28.563 2, 340.596 400 435 87, 00.057 5, 00.142 5, 15.482 625 175 483 62
Sate 3	1, 41848U, 16067A, 22 111.873 446 13, .000 323 17, 00000-0, 18633-3 0, 9 993 2, 41 848, 98.574 1, 280.565 600 151 45, 20.291 5, 150.874 7, 13.699 350 983 908 71
Sate 4	1, 42767U, 17036C, 22 100.892 220 90, .000 007 46, 00000-0, 38662-4 0, 9 991 2, 42 767, 52.568 7, 80.698, 400 193 54, 30.904 8, 108.574 0, 12.849 075 506 670 43

卫星	轨道要素
卫星	半长轴/km	偏心率	轨道倾角/(°)	升交点赤经/(°)	近地点幅角/(°)	真近点角/(°)
Sate 1	7 000	0.005 6	40.0	20	0	25
Sate 2	6 800	0.004 3	28.5	-20	0	0

卫星	轨道要素
卫星	半长轴/km	偏心率	轨道倾角/(°)	升交点赤经/(°)	近地点幅角/(°)	真近点角/(°)
Sate 1	7 000	0.005 6	40	20	0	25
Sate 2	6 800	0.004 3	28.5	-20	0	0
Sate 3	7 378	0.001 5	98.5	280	20	150
Sate 4	7 700	0.001 9	52	80	30	108

雷达参数	长沙	兰州	沈阳
过顶点时刻	09:06:55	09:06:47	09:09:39
最大角速度/((°)/s)	0.325	0.484	0.518
最短观测时长/s	12.31	8.26	7.72