针对双基地多输入多输出(MIMO)雷达目标数估计问题,提出一种基于三阶张量分解的目标数估计算法。该算法首先将匹配滤波输出转化为三阶张量;然后,从张量的三个维度分别计算特征值,并通过迭代方法估计全局特征值;最后,利用全局特征值估计目标数。与传统基于矩阵分解算法相比,该算法充分利用了回波数据的多维结构特征,可有效改善特征值的估计精度,从而提高目标数的正确估计概率。仿真结果证明了所提算法的有效性和优越性。

A new method based on third-order tensor decomposition is proposed to solve the problem of target number estimation in bistatic multiple-input multiple-output ( MIMO) radar. First, the matched filter output is transformed to a third-order tensor. Then, the eigenvalues are calculated from three dimensions of this tensor, and the global eigenvalue is obtained by an iterative method. At last, the target number can be estimated using the global eigenvalue. Compared with the traditional matrix decomposition approach, the proposed method takes the multi-dimensional structure of the echo data into account, which results in better estimation accuracy of the eigenvalues. Consequently, the correct estimate probability of the target number is improved. The effectiveness and superiority of the proposed method is demonstrated by simulation results.

TN911.7