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文章设计了一种新型三维立体阵列并基于该阵列形式提出了一种基于联合奇异值分解的二维DOA(Direction Of Arrival)估计算法。该方法利用三维立体阵,与平面阵相比大大提高某些方向上的测角精度,在方法中使用了子阵列之间的互相关而不是传统的子阵自相关,有效减小了噪声的影响,提高了估计精度,并且利用联合奇异值分解实现了快速配对。最后数值仿真结果证实了所提方法在增加了估计范围,提高了估计精度。
In this paper, a novel three-dimensional (3D) array is designed and a 2D DOA (Direction Of Arrival) estimation algorithm based on joint array singular value decomposition is proposed. The method utilizes a three-dimensional array of three-dimensional arrays to greatly improve the accuracy of angle measurements in certain directions compared to planar arrays. In the method, the cross-correlation between sub-arrays is used instead of the traditional sub-array autocorrelation, which effectively reduces the noise Influence, improve the estimation accuracy, and use the joint singular value decomposition to achieve rapid pairing. Finally, the numerical simulation results confirm that the proposed method increases the estimation range and improves the estimation accuracy.