Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China.
Graduate College, Air Force Engineering University, Xi'an 710051, China.
Sensors (Basel). 2022 Dec 14;22(24):9833. doi: 10.3390/s22249833.
To address the problems of low accuracy and low robustness of the conventional algorithm in estimating the direction of arrival (DOA) of coherent signals against a composite background of strong interference and non-uniform noise, in this paper, a coherent signal DOA estimation algorithm based on fixed projection blocking is proposed in conjunction with a multi-input multi-output (MIMO) radar. The covariance matrix of the received signal is first decomposed by eigenvalues, and a fixed projection matrix orthogonal to the interference guidance vector is constructed as the interference blocking matrix. Then, the received array signal is pre-processed to re-form the covariance matrix, and this matrix is rendered decoherent through a Toeplitz reconstruction. Finally, the reconstructed covariance matrix is estimated by DOA using the propagation operator algorithm to reduce the complexity. The simulation verifies that the proposed algorithm has a better robustness and higher accuracy than conventional algorithms for the DOA estimation of coherent signals in composite backgrounds.
针对传统算法在强干扰和非均匀噪声复合背景下估计相干信号到达方向(DOA)时精度和稳健性低的问题,本文结合多输入多输出(MIMO)雷达,提出了一种基于固定投影阻塞的相干信号 DOA 估计算法。该算法首先通过特征值分解接收信号的协方差矩阵,构造一个与干扰导向矢量正交的固定投影矩阵作为干扰阻塞矩阵。然后,对接收的阵列信号进行预处理,重新形成协方差矩阵,并通过 Toeplitz 重构使其去相关。最后,通过传播算子算法对重构后的协方差矩阵进行 DOA 估计,以降低复杂度。仿真验证了该算法在复合背景下对相干信号 DOA 估计的稳健性和精度均优于传统算法。