系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (2): 406-417.doi: 10.12305/j.issn.1001-506X.2025.02.08

• 传感器与信号处理 • 上一篇    

基于启发式频率规划的多雷达波形设计

丁一1, 汪飞1, 陈军2,*, 韩清华3, 周建江1   

  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, 江苏 南京 210016
    2. 南京信息工程大学电子与信息工程学院, 江苏 南京 210044
    3. 枣庄学院人工智能学院, 山东 枣庄 277160
  • 收稿日期:2024-01-02 出版日期:2025-02-25 发布日期:2025-03-18
  • 通讯作者: 陈军
  • 作者简介:丁一 (2001—), 男, 硕士研究生, 主要研究方向为雷达信号处理、雷达射频隐身
    汪飞 (1976—), 男, 副教授, 博士, 主要研究方向为飞机射频隐身、雷达信号处理、雷达目标探测与识别
    陈军 (1988—), 男, 讲师, 博士, 主要研究方向为低截获概率雷达、雷达目标检测与跟踪、雷达通信一体化
    韩清华 (1986—), 男, 副教授, 博士, 主要研究方向为新体制雷达、雷达资源管理
    周建江 (1962—), 男, 教授, 博士, 主要研究方向为雷达目标特性分析与控制、飞机射频隐身、机载电子信息系统、阵列信号处理
  • 基金资助:
    国家自然科学基金面上项目(62271247);南京航空航天大学前瞻布局科研专项资金(ILA220171A22);雷达成像与微波光子技术教育部重点实验室基金(NJ20230002);中国博士后科学基金面上项目(2023M731756)

Multi-radar waveform design based on heuristic frequency programming

Yi DING1, Fei WANG1, Jun CHEN2,*, Qinghua HAN3, Jianjiang ZHOU1   

  1. 1. Key Laboratory of Radar Imaging and Microwave Photonics Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
    2. School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
    3. School of Artificial Intelligence, Zaozhuang University, Zaozhuang 277160, China
  • Received:2024-01-02 Online:2025-02-25 Published:2025-03-18
  • Contact: Jun CHEN

摘要:

雷达检测性能与目标回波特性相关, 设计与目标角域起伏特性相匹配的波形频率可以提升目标的检测概率。对此, 提出一种基于启发式频率规划的多雷达波形设计算法。在离线状态下, 通过起伏因子约束下角域划分、起伏因子最大化角域关联和异常角域决策三步设计匹配机动目标特性的角度频率匹配集。在目标跟踪阶段, 通过多站雷达扩展探测频率以优化角域, 并根据机动目标在状态转移区域内的滤波预测状态值完成目标回波不确定条件下的雷达节点和辐射频率参数规划。仿真结果表明, 所提算法在飞机进行匀速直线与协同拐弯交替运动的跟踪场景中检测性能显著提升。

关键词: 机动目标, 目标特性, 启发式方法, 频率规划, 多站雷达

Abstract:

Radar detection performance is related to target echo characteristics, and the detection probability of target can be improved by designing waveform frequency matching with the angular domain fluctuation characteristics of target. In this regard, a multi-radar waveform design algorithm based on heuristic frequency domain programming is proposed. In offline state, the angle frequency matching set for matching the characteristics of maneuvering targets is designed in three steps: angle domain division under fluctuation factor constraints, maximizing angle domain association with fluctuation factors, and abnormal angle domain decision-making. In the target tracking stage, the multi-station radar extends the detection frequency to optimize the angular domain. According to the filter predicted state value of maneuvering targets in the state transition region, the radar node and radiation frequency parameter programming under the condition of uncertain target echo is completed. Simulation results show that the detection performance of the proposed algorithm is significantly improved in the tracking scenario of alternating motion of uniform straight line and cooperative turning.

Key words: maneuvering target, target characteristic, heuristic method, frequency programming, multi-station radar

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