Near-field source localization with partly sensor gain and phase uncertainties

Weiliang Zuo, J. Xin, Guangmin Wang, Jiasong Wang, Nanning Zheng, A. Sano
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引用次数: 6

Abstract

In this paper, we consider the source localization for the multiple near-field narrowband signals impinging on a uniform linear array (ULA) with partly gain and phase uncertainties. By dividing the ULA into two overlapped symmetric subarrays and assuming that they have partly unknown gain and phase responses but correspondingly identical, a new modified generalized ESPRIT based method is presented, in which the direction of arrival (DOA) and range are estimated separately. Moreover, we prove that the proposed method is equivalent to the spectral Fresnel-region rank reduction (FR-RARE) [15] method, but more computationally efficient than it. The simulations demonstrate the effectiveness of the proposed method.
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部分传感器增益和相位不确定性的近场源定位
本文研究了具有部分增益和相位不确定性的均匀线性阵列上的多个近场窄带信号的源定位问题。将ULA划分为两个重叠的对称子阵列,假设它们具有部分未知的增益和相位响应,但相应相同,提出了一种新的改进的广义ESPRIT方法,该方法分别估计到达方向和距离。此外,我们证明了所提出的方法等效于光谱菲涅耳区域秩降(FR-RARE)[15]方法,但比其计算效率更高。仿真结果表明了该方法的有效性。
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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