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Ambiguity Resolving Based on Cosine Property of Phase differences for 3-D Source Localization With Uniform Circular Array

机译:均匀圆阵的3-D源定位基于相位差余弦性质的歧义求解

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Localization of a source whose half-wavelength is smaller than the array aperture would suffer from serious phase ambiguity problem, which also appears in recently proposed phase-based algorithms. In this paper, by using the centro-symmetry of fixed uniform circular array (UCA) with even number of sensors, the source's angles and range can be decoupled and a novel ambiguity resolving approach is addressed for phase-based algorithms of source's 3-D localization (azimuth angle, elevation angle, and range). In the proposed method, by using the cosine property of unambiguous phase differences, ambiguity searching and actual-value matching are first employed to obtain actual phase differences and corresponding source's angles. Then, the unambiguous angles are utilized to estimate the source's range based on a one dimension multiple signal classification (1-D MUSIC) estimator. Finally, simulation experiments investigate the influence of step size in search and SNR on performance of ambiguity resolution and demonstrate the satisfactory estimation performance of the proposed method.
机译:半波长小于阵列孔径的光源的定位将遭受严重的相位模糊问题,这在最近提出的基于相位的算法中也出现。在本文中,通过使用具有偶数个传感器的固定均匀圆形阵列(UCA)的中心对称性,可以解耦源的角度和范围,并针对源3-D的基于相位的算法提出了一种新颖的歧义解决方法定位(方位角,仰角和范围)。在所提出的方法中,通过利用明确的相位差的余弦特性,首先采用模糊度搜索和实际值匹配来获得实际相位差和相应的光源角度。然后,根据一维多信号分类(1-D MUSIC)估计器,使用明确的角度来估计源的范围。最后,仿真实验研究了搜索步长和信噪比对歧义分辨率性能的影响,并证明了该方法的令人满意的估计性能。

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