FDA-MIMO雷达稳健抗主瓣距离欺骗式干扰技术

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。

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

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.