基于阵列信号处理的ica盲源分离快速收敛算法

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955323

H. Saruwatari, T. Kawamura, K. Shikano

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引用次数: 12

摘要

提出了一种新的盲源分离(BSS)算法，该算法将独立分量分析(ICA)和波束形成相结合，通过对ICA的优化来解决低收敛性问题。该方法由两部分组成:基于到达方向估计的频域ICA和基于到达方向估计的零波束形成。在ICA和波束形成之间交替学习，可以实现快速、高收敛的优化。信号分离实验结果表明，该算法的信号分离性能优于传统的基于ica的BSS方法。

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Fast-convergence algorithm for ICA-based blind source separation using array signal processing

We propose a new algorithm for blind source separation (BSS), in which independent component analysis (ICA) and beamforming are combined to resolve the low-convergence problem through optimization in ICA. The proposed method consists of the following two parts: frequency-domain ICA with direction-of-arrival (DOA) estimation, and null beamforming based on the estimated DOA. The alternation of learning between ICA and beamforming can realize fast- and high-convergence optimization. The results of the signal separation experiments reveal that the signal separation performance of the proposed algorithm is superior to that of the conventional ICA-based BSS method.

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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.