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本文主要讲述了一种ESPRIT的改进算法 ,该算法利用两次奇异值及一次SCHUR分解从而实现对ESPRIT各维估计参量的配对。该方法采用了二排均匀直线阵并附加一阵元 ,以此来对阵列进行两次子阵分解。利用子阵信号数据矩阵中包含的信号空间的旋转不变性质 ,借助于矩阵束方法求解出信号的二维到达角[2 ] 。仿真结果证实了该算法的有效性。
This paper mainly describes an improved ESPRIT algorithm, which uses two singular values and one SCHUR decomposition to achieve pairing of ESPRIT estimation parameters. The method uses two rows of uniform linear arrays and adds an array of elements to decompose the array twice. Using the rotation invariant property of the signal space contained in the data matrix of the sub-array signal, the two-dimensional angle of arrival [2] of the signal is solved by means of the matrix beam method. Simulation results confirm the effectiveness of the algorithm.