稀疏平面阵列幅相误差估计算法

doi:10.16180/j.cnki.issn1007-7820.2022.03.009

摘要/Abstract

摘要：

稀疏阵列存在模糊特性,导致当阵元幅相误差或位置误差存在时,无法直接应用传统的ISM方法。针对这一缺陷,文中借用线阵中基于介质解模糊的DOA估计算法原理,将该算法推广至二维稀疏平面阵列,通过引入抑制度的概念深入研究了介质参数对抑制效果的影响,并进一步将该算法与经典ISM法相结合,提出了一种新的稀疏平面阵列幅相误差估计算法。仿真结果表明,该方法不仅可以在合理选择介质参数的条件下使模糊角抑制度最大达到17 dB,还可以在获得准确角度的前提下进行幅相误差估计,提高了鲁棒性。

关键词: DOA估计, ISM, 稀疏平面阵, 介质, 模糊性, 幅相误差

Abstract:

The sparse array has ambiguity characteristics, which makes the traditional ISM method unable to be directly applied when the amplitude and phase errors or position errors of the array elements exist. In view of this defect, the study utilizes the principle of DOA estimation algorithm based on medium defuzzification in linear arrays, extends this algorithm to two-dimensional sparse planar arrays, and deeply studies the influence of medium parameters on the suppression effect by introducing the concept of suppression degree. This study combines the algorithm with the classic ISM method to establish a new sparse planar array amplitude and phase error estimation algorithm. The simulation results show that this proposed method can not only make the blur angle suppression degree up to 17 dB under the condition of reasonable selection of media parameters, but also can estimate the amplitude and phase error under the premise of obtaining the accurate angle, which improves the robustness.

Key words: DOA estimation, ISM, sparse planar array, substrate, ambiguity, amplitude and phase error

中图分类号:

TP925

谢婉莹,金红军,赵怀松. 稀疏平面阵列幅相误差估计算法[J]. 电子科技, 2022, 35(3): 58-64.

Wanying XIE,Hongjun JIN,Huaisong ZHAO. Amplitude and Phase Error Estimation Algorithm for Sparse Planar Array[J]. Electronic Science and Technology, 2022, 35(3): 58-64.

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