FDA-MIMO雷达目标距离、角度及未知互耦参数估计

针对频控阵-多输入多输(frequency diverse array multiple input multiple output, FDA-MIMO)雷达阵列间存在未知互耦合情况的参数估计问题, 提出一种基于数据转换的二维多重信号分类方法。首先, 构造了存在未知互耦合影响的接收信号模型。然后，通过子空间分解的方法得到用于参数估计的谱函数, 并且采用数据转换的方法来解决谱函数由于未知耦合矩阵存在而失真的问题。最后，利用得到的目标距离和角度参数的估计值, 通过类似线性约束最小方差重构优化问题, 估计出耦合系数矩阵。仿真结果验证了所提方法的有效性，能准确估计阵列间存在未知互耦合效应时的参数和互耦合系数。

Estimation of targets' range,angle and unknown mutual coupling parameters for FDA-MIMO radar

Aiming at the parameter estimation problem of unknown mutual coupling between frequency diverse array multiple input multiple output (FDA-MIMO) radar arrays, a two dimensional multiple signal classification method based on data-conversion is proposed. Firstly, a received signal model with unknown mutual coupling effects is constructed. Secondly, the spectral function for parameter estimation is obtained by subspace decomposition. And then, the data-conversion method is used to solve the problem of spectral function distortion due to the existence of unknown coupling matrix. Finally, the estimated values of the targets' range and angle are used to reconstruct the optimization problem through a linearly constrained minimum variance to estimate the coupling coefficient matrix. Simulation results confirm the effectiveness of the proposed method which can accurately estimate the parameters and mutual coupling coefficients when unknown mutual coupling effects exist between the arrays.