基于ESPRIT算法的十字型阵列MIMO雷达降维DOA估计

该文针对十字型阵列配置下的单基地MIMO雷达2维空间角度估计问题，提出一种基于ESPRIT算法的降维DOA估计算法。算法通过降维矩阵的设计及回波数据的降维变换，将高维回波数据转换至低维信号空间，最大程度地去除了所有的冗余数据；利用矩阵的酉变换进行实数域信号子空间的估计，并基于ESPRIT算法实现2维空间角度的联合估计及参数的自动配对。算法不牺牲阵列孔径，在获取信噪比增益和快拍增益的同时，有效降低了回波数据的维数，具有更低的运算复杂度。仿真结果验证了理论分析的正确性和算法的有效性。

Reduced-dimensional DOA Estimation Based on ESPRIT Algorithmin Monostatic MIMO Radar with Cross Array

To solve the problem of two dimensional angles estimation for MIMO radar with cross array, a new reduced-dimensional Direction Of Arrival (DOA) estimation method based on ESPRIT algorithm is proposed. Through the reduced-dimensional matrix design and reduced-dimensional transformation, the high dimensional received data can be transformed into a low dimensional signal space, and the corresponding data redundancy can be removed at the greatest degree. The signal space in a real-value field can be estimated through the unitary transformation of matrix, and parameters can be jointly estimated using ESPRIT algorithm with automatic pairing. The proposed algorithm, obtaining signal to noise ratio gain and snapshots gain, can reduce effectively the dimension of received data and the computational complexity of parameters estimation without costing the aperture of array. Lastly, simulation results verify the correctness of theoretical analysis and the effectiveness of the proposed algorithm.