基于扩展相关矩阵的二维到达方向估计

F. Harabi, H. Changuel, A. Gharsallah
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引用次数: 19

摘要

提出了一种新的基于子空间的具有高分辨率定位能力的窄带源二维到达方向估计算法。利用新的扩展相关矩阵(ECM)的噪声子空间特征向量实现DOA估计。提出了一种2-L形状的天线阵列。与普通平面阵和圆形阵不同,这种特殊几何形状的天线阵不需要方位角和仰角估计对匹配,从而消除了估计失败的缺点。通过仿真研究验证了该方法的性能。仿真结果表明,该方法具有良好的估计性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of 2-D Direction of Arrival with an Extended Correlation Matrix
This paper presents a new subspace-based 2D direction of arrival (DOA) estimation algorithm for narrowband sources with high-resolution localization capabilities. DOA estimation is achieved by using the noise-subspace eigenvectors of a new extended correlation matrix (ECM). A 2-L shape antenna array is proposed. Unlike common planar and circular arrays, the novel antenna array with this special geometry requires no pair matching between the azimuth and elevation angle estimation also this key can remove the drawbacks of estimation-failure problems. The performance of the proposed approach is examined by a simulation study. The simulation results show a good estimate performance.
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