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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

Joint Detection Threshold and Power Allocation Optimization Strategy for Multi-Target Tracking in Radar Networks
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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。 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.
作者 石兆 时晨光 汪飞 周建江 SHI Zhao;SHI Chenguang;WANG Fei;ZHOU Jianjiang(Key Laboratory of Radar Imaging and Microwave Photonics,Nanjing University of Aeronautics and Astronautics,Ministry of Education,Nanjing 211106,China;Nanjing Changjiang Electronics Group Co.,Ltd.,Nanjing 210038,China)
出处 《电子与信息学报》 EI CAS CSCD 北大核心 2024年第5期2065-2075,共11页 Journal of Electronics & Information Technology
基金 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)。
关键词 组网雷达 多目标跟踪(MTT) 射频隐身 检测门限 辐射功率 Radar network Multi-Target Tracking(MTT) Radio frequency stealth Detection threshold Transmit power
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  • 1张艳芹,许录平,李剑.一种具有低截获特性的组合调制雷达信号[J].弹道学报,2006,18(3):90-93. 被引量:7
  • 2胡梦中,宋铮,刘月平.一种新的低副瓣多波束形成方法[J].现代雷达,2007,29(10):71-74. 被引量:10
  • 3Bar-Shalom Y and Tse E. Tracking and Data Association[M]. New York: Academic Press, 1988: 173-353. 被引量:1
  • 4Aslan M S and Saranl A. Threshold optimization for tracking a nonmaneuvering target[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011, 37(2): 2844-2859. 被引量:1
  • 5Aslan M S and Saranl A. Advances in Heuristic Signal Processing and Applications[M]. Berlin Heidelberg: Springer, 2013: 111-143. 被引量:1
  • 6Aslan M S, Saranl A, and Baykal B. Tracker-aware adaptive detection: an efficient closed-form solution for the Neyman- Pearson case[J]. Digital Signal Processing, 2010, 20(5): 1468-1481. 被引量:1
  • 7Willett P, Niu R, and Bar-Shalom Y. Integration of Bayes detection with target tracking[J]. IEEE Transactions on Signal Processing, 2001, 49(1): 17-29. 被引量:1
  • 8Ristic B, Arulampalam S, and Gordon N. Beyond the Kalman Filter: Particle Filters for Tracking Applications[M]. Boston, MA: Artech House, 2004: 86-102. 被引量:1
  • 9Liggins M E, Hall D L, and Llinas J. Handbook of Multisensor Data Fusion: Theory and Practice[M]. 2nd Ed. Boca Raton, CRC Press, 2009: 204-241. 被引量:1
  • 10Kay S M. Fundamentals of Statistical Signal Processing: Estimation Theory[M]. 1st Ed. Upper Saddle River, Prentice-Hall, 1993: 295-345. 被引量:1

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