CAJ | 학술논문

该文针对L型阵列MIMO雷达的2维角度估计问题，基于ESPRIT算法提出两种降维DOA估计方法。首先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；然后分别基于特征分解和传播算子获得信号子空间的估计，最后利用ESPRIT算法实现2维空间角参量的联合估计及参数的自动配对。算法不牺牲阵列孔径，最大程度地降低了回波数据的维数，具有更低的运算复杂度。仿真结果验证了该文理论分析的正确性和算法的有效性。
해문침대L형진렬MIMO뢰체적2유각도고계문제，기우ESPRIT산법제출량충강유DOA고계방법。수선통과강유구진적설계급회파수거적강유변환，장고유회파수거전환지저유신호공간；연후분별기우특정분해화전파산자획득신호자공간적고계，최후이용ESPRIT산법실현2유공간각삼량적연합고계급삼수적자동배대。산법불희생진렬공경，최대정도지강저료회파수거적유수，구유경저적운산복잡도。방진결과험증료해문이론분석적정학성화산법적유효성。
In order to solve the issue of two dimensional angles estimation for MIMO radar with L-shaped array, two novel reduced-dimensional Direction Of Arrival (DOA) estimation methods using ESPRIT algorithm are proposed. Firstly, through the reduced-dimensional matrix design and reduced-dimensional transformation, the high dimensional received data can be transformed into a lower dimensional signal space. Then, the signal space can be achieved via the eigen-value decomposition and propagator operator method respectively, and two dimensional spatial angle parameters can be joint estimated using ESPRIT algorithm with automatic pairing. The proposed two methods remove data redundancy of high dimensional received data at the greatest degree without costing the aperture of array and have lower computation complexity. Simulation results verify the correctness of theoretical analysis and the effectiveness of proposed algorithm.