系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (9): 2744-2754.doi: 10.12305/j.issn.1001-506X.2023.09.12

• 传感器与信号处理 • 上一篇    下一篇

联合多种资源协同干扰组网雷达系统的自适应调度方法

陆德江1,*, 王星1, 陈游1, 胡星2,3   

  1. 1. 空军工程大学航空工程学院, 陕西 西安 710038
    2. 中国人民解放军93209部队, 北京 100085
    3. 中国人民解放军95455部队, 贵州 遵义 563000
  • 收稿日期:2022-05-04 出版日期:2023-08-30 发布日期:2023-09-05
  • 通讯作者: 陆德江
  • 作者简介:陆德江 (1998—), 男, 硕士研究生, 主要研究方向为电子对抗、信息感知
    王星 (1965—), 男, 教授, 博士, 主要研究方向为电子对抗、信号处理
    陈游 (1988—), 男, 副教授, 博士, 主要研究方向为电子对抗、信息感知
    胡星 (1990—), 男, 工程师, 博士, 主要研究方向为通信对抗、协同组网技术
  • 基金资助:
    陕西省自然科学基金(2021JM-225)

Adaptive scheduling method of joint multi-resource for cooperative interference of networked radar system

Dejiang LU1,*, Xing WANG1, You CHEN1, Xing HU2,3   

  1. 1. Aviation Engineering School, Air Force Engineering University, Xi'an 710038, China
    2. Unit 93209 of the PLA, Beijing 100085, China
    3. Unit 95455 of the PLA, Zunyi 563000, China
  • Received:2022-05-04 Online:2023-08-30 Published:2023-09-05
  • Contact: Dejiang LU

摘要:

针对飞机编队协同干扰组网雷达系统的资源分配问题, 提出了一种联合目标选择与功率分配的自适应调度(adaptive scheduling method of joint target selection and power allocation, JTAPM)方法, 其核心是通过实时调度干扰机的波束和功率资源, 使得飞机编队对组网雷达系统的协同干扰效能始终保持最优。首先, 根据雷达网不同的工作状态和信息融合规则, 构建基于检测概率和瞄准概率的双因子干扰效能评估函数, 然后考虑干扰资源约束建立关于目标选择和功率分配的双变量非凸优化模型, 并基于此提出了一种结合改进布谷鸟搜索(improved cuckoo search, ICS)算法与KKT(Karush-Kuhn-Tucker, KKT)优化条件的求解方法。最后, 仿真结果证明了所提联合资源自适应调度策略的有效性。

关键词: 改进布谷鸟搜索算法, KKT条件, 雷达对抗, 资源分配, 组网雷达系统

Abstract:

To address the jamming resource allocation problem of the aircraft formation cooperatively jamming netted radar system, an adaptive scheduling method of joint target selection and power allocation (JTAPM) is proposed. The core of this method is to schedule the beam and power resources of jammers in real time to maintain the best jamming effectiveness against netted radar system. Firstly, considering the information fusion rules and different working modes of the netted radar system, a two-factor jamming effectiveness evaluation function based on detection probability and aiming probability is constructed. Then a bivariate nonconvex optimization model with respect to target selection and power allocation is established. Finally, a three-step solution method combining improved cuckoo search (ICS) algorithm and Karush-Kuhn-Tucker (KKT) optimization condition is proposed. Simulation results are provided to demonstrate the advantages of the proposed adaptive scheduling method and the effectiveness of the improved algorithm.

Key words: improved cuckoo search (ICS) algorithm, Karush-Kuhn-Tucker (KKT) condition, radar countermeasure, resource allocation, netted radar system

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