稀疏平面阵列幅相误差估计算法

doi:10.16180/j.cnki.issn1007-7820.2022.03.009

Abstract

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

CLC Number:

TP925

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.

Figures/Tables 10

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Amplitude and Phase Error Estimation Algorithm for Sparse Planar Array

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