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频域盲源分离的非圆信号推广
引用本文:张和发,李立萍,胡元奎.频域盲源分离的非圆信号推广[J].航天电子对抗,2013(6):55-57.
作者姓名:张和发  李立萍  胡元奎
作者单位:[1]华东电子工程研究所,安徽合肥230088 [2]电子科技大学电子工程学院,四川成都611731
摘    要:作为盲源分离(BSS)问题的最有效解决方法之一,独立分量分析(ICA)算法可以分为时域和频域算法两类.将时域盲源分离的快速算法推广到频域,通过在频域中应用非圆信号的伪协方差矩阵,推导出一个新的固定点算法来解决线性瞬时混合的非圆信号盲源分离(BNSS)问题.仿真实验验证了该算法的有效性.

关 键 词:独立分量分析(ICA)  盲源分离(BSS)  非圆信号盲源分离(BNSS)  傅里叶变换  固定点算法

Extension of blind signal separation in frequency domain to noncircular sources
Zhang Hefa Li Liping Hu Yuankui.Extension of blind signal separation in frequency domain to noncircular sources[J].Aerospace Electronic Warfare,2013(6):55-57.
Authors:Zhang Hefa Li Liping Hu Yuankui
Institution:Zhang Hefa Li Liping Hu Yuankui(1. East China Research Institute of Electronic Engineering, Hefei 230088, Anhui, China 2. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China)
Abstract:Independent component analysis (ICA) algorithms, ones of the most popular methods to solve the blind source separation (BSS) problems, can be classified into two main categories: time-domain and frequency-domain algorithms. The time-domain blind non-circular source separation problem is extended to frequency domain, where the blind non-circular source separation (BNSS) of linear instantaneous mixture problem is solved, by deriving a new fixed-point algorithm which uses the noncircular information of pseudo- covariance matrix in frequency domain. Simulations demonstrate the efficiency of the proposed algorithm.
Keywords:independent component analysis (ICA)  blind source separation (BSS)  blind non-circular source separation (BNSS)  Fourier transformation  fixed-point algorithm
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