针对多目标跟踪的组网雷达检测门限与功率分配联合优化算法

石兆; 时晨光; 汪飞; 周建江

doi:10.11999/JEIT231242

针对多目标跟踪的组网雷达检测门限与功率分配联合优化算法

doi: 10.11999/JEIT231242

石兆^{1, 2},
时晨光^1, ,,
汪飞¹,
周建江¹

1.
南京航空航天大学雷达成像与微波光子技术教育部重点实验室南京 211106
2.
南京长江电子信息产业集团有限公司南京 210038

基金项目: 国家自然科学基金(62271247)，国防基础科研计划资助项目(JCKY2021210B004)，航空科学基金(20220055052001)，南京航空航天大学前瞻布局科研专项资金(ILA220171A22)

详细信息

作者简介:
石兆：男，硕士，主要研究方向为飞行器射频隐身技术

时晨光：男，副教授，主要研究方向为飞行器射频隐身技术、组网雷达系统协同感知、多传感器信息融合与管理等

汪飞：男，副教授，主要研究方向为飞机射频隐身技术、微弱信号检测、谱估计等

周建江：男，教授，主要研究方向为隐身技术、雷达目标特性分析与特征控制等

通讯作者:
时晨光　scg_space@163.com

中图分类号: TN953
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- 被引次数: 0
出版历程
- 收稿日期: 2023-11-09
- 修回日期: 2024-04-28
- 网络出版日期: 2024-05-07
- 刊出日期: 2024-05-10

Joint Detection Threshold and Power Allocation Optimization Strategy for Multi-Target Tracking in Radar Networks

1.
Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing University of Aeronautics and Astronautics, Ministry of Education, Nanjing 211106, China
2.
Nanjing Changjiang Electronics Group Co., Ltd., Nanjing 210038, China

Funds: The National Natural Science Foundation of China (62271247), The Defense Industrial Technology Development Program (JCKY2021210B004), The National Aerospace Science Foundation of China (20220055052001), The Fundation of Prospective Layout of Scientific Research for Nanjing University of Aeronautics and Astronautics (ILA220171A22)

摘要

摘要: 为了提升组网雷达多目标跟踪(MTT)时的射频隐身性能，本文研究了针对MTT的组网雷达检测门限与功率联合优化算法。首先，在采用检测跟踪一体化结构的基础上，分别推导相关波门内的平均检测概率和预测贝叶斯克拉美罗下界作为衡量目标检测性能和MTT性能的指标。其次，以有限的辐射资源和满足一定的目标检测和MTT性能为约束条件，以最小化组网雷达的总功率资源消耗为目标，建立组网雷达检测门限与功率联合优化模型，联合优化雷达节点选择方式、各雷达的检测门限和辐射功率。在此基础上，结合改进的概率数据互联算法和序贯二次规划算法求解上述问题。仿真结果表明，所提算法在满足目标检测和跟踪性能需求时有效降低组网雷达功率资源消耗，提升射频隐身性能。
- 组网雷达 /
- 多目标跟踪(MTT) /
- 射频隐身 /
- 检测门限 /
- 辐射功率
Abstract: In order to enhance the radio frequency stealth performance of radar networks, a Joint Detection Threshold and Power Allocation Optimization (JDTPAO) Strategy for Multi-Target Tracking (MTT) in radar networks is studied in this paper. Firstly, based on the integrated structure of detection and tracking, the average detection probability in associated gate and the predicted Bayesian Cramér-Rao Lower Bound are respectively derived as the performance metrics for target detection and MTT. Subsequently, a joint detection threshold and power allocation optimization model for minimizing the total power consumption is formulated, in which the node selection, detection threshold and power allocation are to be optimized, and the predetermined detection and MTT performance requirements, as well as the limited transmit resource are considered as the constraints. To address this problem, an approach combining improved probabilistic data association algorithm and sequential quadratic programming is proposed. Simulation results indicate that the proposed strategy effectively reduces the power consumption of radar network while meeting the requirements for target detection and tracking, thereby improving the radio frequency stealth performance.
- Radar network /
- Multi-Target Tracking (MTT) /
- Radio frequency stealth /
- Detection threshold /
- Transmit power

HTML全文

图 1 组网雷达检测跟踪一体化结构示意图

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图 2 组网雷达分布与目标轨迹

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图 3 组网雷达预检测门限值以及辐射功率优化结果

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图 4 各算法对平均目标检测概率对比

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图 5 各算法MTT性能对比

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图 6 各算法总辐射功率消耗对比

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