波束空间MUSIC算法的性能分析与纠错

Yunkai Zhang, Zhiquan Zhou
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引用次数: 2

摘要

波束空间域的MUSIC算法能够在一定程度上抑制噪声。它具有鲁棒性强、分辨率信噪比阈值低等优点,在元素空间域优于MUSIC算法。然而,在实际应用中,数组不匹配会导致算法的性能下降。本文仿真了阵列失配对MUSIC算法在波束空间域中性能估计的影响,并在系统分析MUSIC算法在波束空间域中性能的基础上,针对阵列失配问题,提出了独立噪声的校正算法。实验结果表明,该校正方法提高了源的分辨概率,提高了MUSIC算法在波束空间域的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Performance Analysis and Error Correction of MUSIC Algorithm in Beam-space
MUSIC algorithm in beam-space domain is able to restrain noises to some degree. It is superior to the MUSIC algorithm in element-space domain on account of high robustness, low threshold of signal-to-noise ratio in resolution, and etc. However, array mismatch generates performance degradation of algorithm in practical application. This paper emulates the influence that array mismatch exerts on the performance estimation of MUSIC algorithm in beam-space domain, and hereof puts forward correction algorithm of independent noises basing on analyzing the performance of MUSIC algorithm in beam-space domain systematically focusing on array mismatch. The result of experiment manifests that the correction method increases the resolution probability of source and improves the robustness of MUSIC algorithm in beam-space domain.
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