Heping Shi, Xinyu Weng, Guanghui Yan, Shaohua Wang
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引用次数: 0
摘要
本文提出了一种基于秩还原原理的共轭增强时空 L 型阵列二维到达方向(2-DOA)估计方法。该方法的基本思想是利用阵列接收数据的时空二维结构和信号延迟自相关函数的共轭对称性来构建共轭增强时空交叉相关矩阵。然后,利用矩阵 Kronecker 积的特性来解耦二维到达角的转向矢量,并利用秩还原和一维谱峰搜索来自动配对二维 DOA。所提出的方法可以处理欠定情况下的二维角度估计问题,并通过计算机仿真验证了所提出方法的有效性。
Spatial-Temporal 2-D DOA Estimation Based on Rank-Reduction
This letter proposes a two-dimensional direction-of-arrival (2-D DOA) estimation method for conjugate augmented spatial-temporal L-shaped arrays based on the rank-reduction principle. The basic idea of the proposed method is to utilize the spatial-temporal 2-D structure of the data received by the array and the conjugate symmetry of the signal delay auto-correlation function to construct a conjugate augmented spatial-temporal cross-correlation matrix. Then, the properties of the matrix Kronecker product can be utilized to decouple the steering vector of the 2-D angle of arrival and utilize the rank-reduction and one-dimensional spectral peak search to automatically pair the 2-D DOA. The proposed method can handle the 2-D angle-estimation problem under underdetermined cases, and the effectiveness of the proposed method was verified by computer simulations.
期刊介绍:
Rapid developments in the analog and digital processing of signals for communication, control, and computer systems have made the theory of electrical circuits and signal processing a burgeoning area of research and design. The aim of Circuits, Systems, and Signal Processing (CSSP) is to help meet the needs of outlets for significant research papers and state-of-the-art review articles in the area.
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Circuits, Systems, and Signal Processing (CSSP) is published twelve times annually.