圆形传声器阵列的幺正根- music结合子空间修正

Proceedings of the 2020 1st International Conference on Control, Robotics and Intelligent System Pub Date : 2020-10-27 DOI:10.1145/3437802.3437814

Tingwei Chen, Jucai Lin, Jun Yin

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引用次数: 0

摘要

针对均匀圆形传声器阵列，提出了一种结合子空间修正的统一根信号分类方法(root - music)。首先对子空间进行修正，去除协方差矩阵中导致子空间泄漏的两项，从而提高子空间的估计精度;其次，通过幺正变换，提出了圆形传声器阵列的实值Root-MUSIC算法。该方法可将复值根- music的计算复杂度降低75%。仿真结果验证了该方法的有效性

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Unitary Root-MUSIC Combined with Subspace Modification for Circular Microphone Array

A unitary root signal classification (Root-MUSIC) combined with subspace modification for uniform circular microphone arrays is proposed. Firstly, the subspace is modified by eliminating the two undesirable terms in the covariance matrix, which cause the subspace leakage, thus improving the estimation accuracy of subspace. Secondly, a real-valued Root-MUSIC algorithm for circular microphone arrays is developed by unitary transformation. The proposed method can reduce the computational complexity of complex-valued Root-MUSIC by 75%. Some simulation results demonstrate the effectiveness of the proposed method

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Proceedings of the 2020 1st International Conference on Control, Robotics and Intelligent System

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