Whole-space ambiguity removal in DOA estimation by AWPC antenna

T. T. T. Quynh, N. Linh-Trung, Phan Anh, K. Abed-Meraim
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Abstract

Antennas without phase center (AWPC) have been used to estimate direction of arrival (DOA) specially in less sensors than sources case. The similarity of two or more steering vectors corresponding to widely separated directions in the array manifold causes ambiguity in the DOA estimation. Recently, half-space ambiguity resolution has been done by optimizing the structure of the AWPC, based on Cramer-Rao bound. This paper further proposes a novel method for resolving whole-space ambiguity in the DOA estimation by using a uniform circular array (UCA) with multiple optimal AWPC sensors. The optimal number of AWPC sensors in moderate-size UCAs is also obtained by numerical optimization.
AWPC天线DOA估计中的全空间模糊去除
无相位中心天线(AWPC)被用于估计到达方向(DOA),特别是在传感器比源少的情况下。在阵列流形中,两个或多个方向相距甚远的方向所对应的方向矢量的相似性导致了DOA估计的模糊性。近年来,基于Cramer-Rao界,通过优化AWPC的结构,实现了半空间模糊度的求解。在此基础上,提出了一种利用多AWPC传感器组成的均匀圆阵列(UCA)来解决DOA估计中的全空间模糊问题的新方法。通过数值优化得到了中等尺寸无人驾驶飞机中AWPC传感器的最优数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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