Concentric Circular Array for directions of arival estimation of coherent sources with MUSIC algorithm

S. Akkar, F. Harabi, A. Gharsallah
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引用次数: 3

Abstract

In this paper, a special design of Uniform Concentric Circular Array (UCCA) is proposed to improve directions of arrival (DoAs) estimation accuracy in fully correlated sources situation. The Centro-symmetry propriety of the introduced antennas shape, as well as each of its subarrays, allow us to develop a Modified Forward/Backward Spatial Smoothing technique (MFBSS) to remove signals' coherence. The excellent performances of the uniform circular geometry are used to provide a good and uniform DoAs estimation in all of the azimuth coverage. Simulation results, using the MUSIC algorithm, show that applying the MFBSS technique with the proposed antenna array shape yields significant improved performances in DoAs estimation especially in highly correlated sources situations.
同心圆阵列相干源到达方向估计MUSIC算法
为了提高全相关源情况下的到达方向估计精度,提出了一种特殊的均匀同心圆阵(UCCA)设计。所引入的天线形状及其每个子阵列的中心对称性,使我们能够开发一种改进的前向/后向空间平滑技术(MFBSS)来去除信号的相干性。利用均匀圆形几何的优异性能,在所有方位覆盖范围内都能提供良好而均匀的DoAs估计。利用MUSIC算法的仿真结果表明,将MFBSS技术应用于所提出的天线阵列形状,可以显著提高doa估计的性能,特别是在高度相关的源情况下。
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