系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (9): 2809-2816.doi: 10.12305/j.issn.1001-506X.2022.09.14

• 传感器与信号处理 • 上一篇    下一篇

FDA-MIMO雷达稳健抗主瓣距离欺骗式干扰技术

万福海1,2,*, 许京伟2, 张振荣1   

  1. 1. 广西大学计算机与电子信息学院, 广西 南宁 530004
    2. 西安电子科技大学雷达信号处理国家重点实验室, 陕西 西安 710071
  • 收稿日期:2020-11-06 出版日期:2022-09-01 发布日期:2022-09-09
  • 通讯作者: 万福海
  • 作者简介:万福海(1994—), 男, 博士研究生, 主要研究方向为雷达抗干扰方法、波形分集技术|许京伟(1987—), 男, 副教授, 博士, 主要研究方向为雷达系统建模、阵列信号处理、空时自适应处理、波形分集雷达|张振荣(1976—), 男, 教授, 博士, 主要研究方向为通信网络及光纤传感技术
  • 基金资助:
    国家自然科学基金(61871138);国家自然科学基金(41806211);广西重点研发计划(AB18126094)

Robust anti-main lobe range deceptive jamming technology with FDA-MIMO radar

Fuhai WAN1,2,*, Jingwei XU2, Zhenrong ZHANG1   

  1. 1. School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
    2. National Key Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China
  • Received:2020-11-06 Online:2022-09-01 Published:2022-09-09
  • Contact: Fuhai WAN

摘要:

频率分集阵(frequency diverse array, FDA)多输入多输出(multiple-input and multiple-output, MIMO)雷达可利用距离维自由度在发射-接收频率域内对欺骗式干扰进行抑制。但当存在目标导向矢量失配和协方差矩阵估计误差时,其抗干扰性能损失严重。针对该问题, 在FDA-MIMO雷达中提出了一种基于稳健波束形成的抗干扰方法。首先, 对剔除了残留噪声的Capon谱估计器在信号(或干扰)域内积分来构造期望信号(或干扰)导向矢量; 然后, 利用不同信号导向矢量间的正交性获得干扰功率并重构干扰加噪声协方差矩阵; 最后, 用更精确的导向矢量和重构矩阵计算自适应波束形成器的最优权值, 提高干扰抑制性能。仿真实验验证了所提方法的有效性。

关键词: 频率分集阵, 欺骗式干扰抑制, 稳健波束形成, 导向矢量失配, 协方差矩阵重构

Abstract:

Frequency diverse array (FDA) based multiple-input and multiple-output (MIMO) radar can utilize extra controllable range-dependent degrees-of-freedom to effectively suppress the deceptive jamming in joint transmit-receive spatial frequency domain. However, the anti-jamming performance might degrade evidently in the presence of target steering vector mismatch and covariance matrix estimation error. In this paper, a jamming suppression approach with robust beamforming is proposed in FDA-MIMO radar. Firstly, the desired signal (or jamming) steering vector is estimated by integrating the Capon spectrum estimator which eliminates the residual noise over the desired signal (or jamming) region. Subsequently, the jamming power is established based on the orthogonality between different signal steering vectors, and jamming plus noise covariance matrix is reconstructed. Finally, combine the more accurate steering vector with the reconstruction matrix to calculate the optimal weight vector of the adaptive beamformer, which improves the performance of jamming suppression. Simulation experiments demonstrate the effectiveness of the proposed algorithm.

Key words: frequency diverse array (FDA), deceptive jamming suppression, robust beamforming, steering vector mismatch, covariance matrix reconstruction

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