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

机译:同心圆形阵列,用于音乐算法的相干源的到达估计方向

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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.
机译:本文提出了一种特殊的均匀圆形阵列(UCCA)的设计,以改善完全相关源情况下的到达方向(DOAS)估计精度。引入的天线形状以及其每个子阵列的纤维对称适当性允许我们开发修改的前进/后空间平滑技术(MFBS)以除去信号'的相干性。均匀圆形几何形状的优异性能用于在所有方位角覆盖中提供良好和均匀的DOAS估计。仿真结果,使用音乐算法,示出了利用所提出的天线阵列形状应用MFBS技术在DOAS估计中产生显着改进的性能,特别是在高度相关的源情况下。

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