Near-field Source Location Estimation Algorithm Based on Coprime Array

Yu Tian, Xuhu Wang, Xu Jin, Yujun Hou
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Abstract

For the problems of uniform linear array (ULA) that the number of detection signals is limited by the number of array elements, and the array spacing is limited by half-wavelength, this paper proposes a near-field source location estimation method based on coprime arrays. The proposed method preprocesses the data received by the coprime array to establish an off-grid model that only contains angle parameters, and direction of arrival (DOA) estimation of incident signal is obtained by iterative method. By fixing the estimated angle, this paper constructs a distance parameter off-grid model, and distance estimation is obtained by the iterative method. At the same time, the estimated angle and the estimated distance are matched to determine the source position. Theoretical analysis and experimental results demonstrate that the method in this paper enlarges the array aperture, effectively improves the estimation accuracy of DOA and distance, and still has good estimation performance under the condition of low signal-to-noise ratio or small snapshots.
基于Coprime阵列的近场源定位估计算法
针对均匀线性阵列(ULA)中探测信号数量受阵列单元数限制、阵列间距受半波长限制的问题,提出了一种基于互素数阵列的近场源定位估计方法。该方法对协质阵列接收到的数据进行预处理,建立只包含角度参数的离网模型,并通过迭代法获得入射信号的到达方向(DOA)估计。通过确定估计角度,构建距离参数离网模型,采用迭代法进行距离估计。同时,对估计角度和估计距离进行匹配,确定源位置。理论分析和实验结果表明,本文方法增大了阵列孔径,有效提高了DOA和距离的估计精度,在低信噪比或小快照条件下仍具有良好的估计性能。
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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