基于迭代二次优化算法的低截获波形序列设计

刘强; 张敏; 郭福成; 殷加鹏; 胡卫东

doi:10.11999/JEIT231333

基于迭代二次优化算法的低截获波形序列设计

doi: 10.11999/JEIT231333

国防科技大学电子科学学院长沙 410073

详细信息

作者简介:
刘强：男，博士生，研究方向为电子对抗技术、雷达信号处理、雷达波形设计等

张敏：男，副教授，研究方向为波形设计，无源定位技术、信号处理技术，雷达波形设计等

郭福成：男，教授，研究方向为无源定位和跟踪、雷达信号处理。波形设计等

殷加鹏：男，副研究员，研究方向为主要研究方向为极化雷达信号处理，雷达波形设计等

胡卫东：男，教授，研究方向为波形设计，雷达信息处理与目标识别、多源信息融合等

通讯作者:
张敏　zhangmin1984@126.com

中图分类号: TN958
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出版历程
- 收稿日期: 2023-12-04
- 修回日期: 2024-02-07
- 网络出版日期: 2024-03-08
- 刊出日期: 2024-05-30

Low-intercept Waveform Sequence Design Based on Iterative Quadratic Optimization Algorithm

College of Electronic Science, National University of Defense Technology, Changsha 410073, China

摘要

摘要: 对抗条件下，低截获雷达通过发射特殊波形防止非合作电子侦察系统截获和检测其发射信号，是现代雷达技术的重点研究方向。该文旨在降低电子侦察系统的功率截获概率，在保证目标的辐射能量基础上，针对短时傅里叶变换(STFT)宽带数字侦察接收机特点，从能量的时频分布的角度将波形设计技术应用到无源对抗领域。首先，建立STFT宽带数字侦察接收机检测低截获模型，利用2次优化模型，将低截获问题转变为恒包络序列迭代优化问题；然后，为了获得较好的自相关性能，利用辅助标量，将优化模型转化为2次和形式，结合迭代算法得到了所提低截获波形序列；最后，讨论了计算复杂度。从仿真结果上看，所提序列比常见相位编码信号在相同的接收信噪比下具有更优的低截获能力，另外，引入Pareto权对所提序列的自相关特性进行控制，有效地提高了设计灵活性。
- 低截获雷达 /
- 波形设计 /
- 迭代2次优化
Abstract: In modern radar technology, a key research area is the design of special waveforms to prevent non-cooperative electronic reconnaissance systems from intercepting and detecting radar signals. This paper focuses on reducing the power interception probability of electronic reconnaissance systems while maintaining the radiation energy. Specifically, waveform design techniques are explored for passive countermeasures, considering the time-frequency distribution of energy and the characteristics of Short-Time Fourier Transform (STFT) wideband digital reconnaissance receivers. To address this, a low-intercept model for STFT wideband digital reconnaissance receiver is established, and then the low-intercept problem is converted into a constant envelope sequence iterative optimization problem using a quadratic optimization model. To improve autocorrelation performance, an auxiliary scalar is employed to transform the optimization model into a quadratic form and a sequence of low-interception waveforms are generated through an iterative algorithm. Furthermore, the computational complexity of our proposed method is discussed. The simulation results, demonstrate that our sequence exhibits superior low-interception capability compared to commonly used phase-coded signals at the same receive SNR. Additionally, Pareto weights are introduced to control the autocorrelation characteristics of the proposed sequence, thereby enhancing the design flexibility.
- Low intercept radar /
- Waveform design /
- Iterative quadratic optimization

HTML全文

图 1 基于STFT算法的数字信道化处理功能框图

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图 2 IA-TFCE在不同PAR下的收敛情况

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图 3 IA-LPI在$\eta = {\text{0}}.{\text{1}}$时不同PAR下的收敛情况

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图 4 第300次迭代时IA-LPI在不同$\eta $与PAR的收敛对比

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图 5 随机编码, Golomb, CAN, PECAN与所提编码在$\eta = {\text{0}}.{\text{5}}$下的自相关对比

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图 6 IA-LPI在长度相同的不同PAR时随$\eta $变化的自相关性能对比

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图 7 随机编码, Golomb, CAN, PECAN与所提编码在不同接收门限下最大截获距离对比

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图 8 不同PAR时IA-LPI编码在接收灵敏度为–85 dBm下随着$\eta $变化的最大截获距离比较

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图 9 不同$\eta $时IA-LPI编码在接收门限为–85 dBm下随着PAR变化的最大截获距离比较

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