MUSIC算法在UHF/ c波段的AOA估计测试

Xuan Luong Tran, J. Veselý, Sang Van Doan, P. Hubáček
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引用次数: 1

摘要

本文研究了基于多信号分类算法的uhf频段和c频段到达方向估计。本文所采用的算法是一种超分辨到达方向估计算法,通过仿真分析了各参数对到达方向精度和分辨率的影响。然后,建立测量工作场所,对仿真结果进行验证。在实际测量中,采用两个4元均匀线性阵列来估计不同频段非相干信号源的到达方向。在Matlab中对实测信号进行处理,采用多信号分类算法进行到达方向估计。测量系统估计信号到达uhf频段的方向,精度约为4°,分辨率约为10°。在c波段,到达方向估计的精度和分辨率分别在3°和10°左右。由于测量场所的环境条件,测量结果与模拟结果有一定的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UHF/C-band testing of AOA estimation using MUSIC algorithm
This paper presented a study of direction of arrival estimation using multiple signal classification algorithm on two frequency bands (UHF-band and C-band). The used algorithm in the paper is one of the superresolution direction of arrival estimation algorithms and it was simulated to analyze the effects of various parameters on the direction of arrival accuracy and resolution. Then, the measuring workplace was established to verify the results of the simulation. In the practical measurement, two 4-element uniform linear arrays were used to estimate the direction of arrival of the noncoherent signal sources for the different frequency bands. The measured signals were processed in the Matlab using multiple signal classification algorithm for direction of arrival estimation. The measurement system estimated the direction of arrival of the signal in the UHF-band with accuracy around 4° and resolution around 10°. In the C-band, the accuracy and resolution of direction of arrival estimation were around 3° and 10° respectively. In comparison, the measurement results were a bit different from the simulation due to environment condition of measuring workplace.
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