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Online blind source separation based on joint diagonalization

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Journal of Systems Engineering and Electronics 2009年第2期20卷 229-233页

作者： Li Ronghua Zhou Guoxu Yang Zuyuan Xie Shengli School of Electronic & Information Engineering South China Univ. of Technology Guangzhou 510641 P. R. China

A new algorithm is proposed for joint diagonalization. With a modified objective function, the new algorithm not only excludes trivial and unbalanced solutions successfully, but is also easily optimized. In addition, with the new objective function, the proposed algorithm can work well in online blind source separation （BSS） for the first time, although this family of algorithms is always thought to be valid only in batch-mode BSS by far. Simulations show that it is a very competitive joint diagonalization algorithm.

关键词： blind source separation joint diagonalization nonconvex optimization

Non-orthogonal joint diagonalization with diagonal constraints

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Progress in Natural Science:Materials International 2008年第6期18卷 735-739页

作者： Guoxu Zhou*,Zuyuan Yang,Zongze Wu,Jinlong Zhang School of Electrics and Information Engineering,South China University of Technology,Guangzhou 510641,China School of Electrics and Information Engineering South China University of Technology Guangzhou 510641 China

joint diagonalization has attracted much attention and many algorithms have been presented so ***,some ambiguities still exist in the objective functions for joint *** this paper,some criterions are proposed to eliminate the above ambiguities at first,and then a new objective function which satisfies these criterions is *** new objective function introduces diagonal con-straints for joint diagonalization,thus the trivial and unbalance solutions are excluded *** jointly diagonalizable theorem is built to interpret the reasonableness of the new objective function and the conjugate gradient method is used to provide fast and reliable ***,non-orthogonal joint diagonalization algorithm with diagonal constraints(DDiag)is *** show that DDiag is ecient and robust.

关键词： joint diagonalization Blind source separation Conjugate gradient method

2-D DOAs estimation in impulsive noise environments using joint diagonalization fractional lower-order spatio-temporal matrices

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Science in China(Series F) 2008年第10期51卷 1585-1593页

作者： XIA TieQi WAN Qun WANG XueGang ZHENG Yi College of Electronic Engineering University of Electronic Science and Technology of China Chengdu 610054 China

A novel joint diagonalization fractional lower-order spatio-temporal （ST） moments DOA matrix method is proposed to estimate the 2-D DOAs of uncorrelated narrowband signals in the presence of impulsive noise. The new method retains the advantage of the original ST-DOA matrix method which can estimate 2-D DOAs with neither peak searching nor pair matching. Moreover, it can handle sources with common 1-D angles. Simulation results show that the proposed method yields to better performance to restrain the strong impulsive noise than ST-DOA matrix method, especially for low signal-to-noise ratio case.

关键词： DOA fractional lower-order moment impulsive noise joint diagonalization

Estimation of 2-D Angles of Arrival Based on joint diagonalization of Two Spatio-Temporal Correlation Matrices

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Journal of Electronic Science and Technology of China 2007年第3期5卷 243-247页

作者： Tie-Qi Xia Xue-Gang Wang Qun Wan Ling Wang The authors are with Communication and Radar Lab School of Electronic Engineering University of Electronic Science and Technology of China Chengdu Sichuan 610054 China.

In this paper, we propose a two-dimensional （2-D） angles of arrival （AOAs） estimation method based on a joint diagonalization of two spatio-temporal （ST） correlation matrices. The mathematical manipulations proposed in this paper take the structure of the array that enable estimating 2-D AOAs simultaneously without 2-D searching or pairing. The performance comparison shows that the proposed method is better than ST-DOA matrix method.

关键词： 2-D angles of arrival joint diagonalization pair matching spatio-temporai.

Independent component analysis to physical-layer network coding over wireless fading channels

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Journal of Systems Engineering and Electronics 2013年第2期24卷 196-203页

作者： Bing Du Xiaoming Tao Department of Electronic Engineering Tsinghua University

A new combinational technology is proposed,which is feasible to apply physical-layer network coding（PNC） to wireless fading channels by employing the harmful interference *** key step of PNC is that sources broadcast signals simultaneously without orthogonal ***,the signals overlap in the free space at the *** the signals from different sources are mutual independent,rooted on this rational assumption,an enhanced joint diagonalization separation named altering row diagonalization（ARD） algorithm is exploited to separate these signals by maximizing the cost function measuring independence among *** ARD PNC（APNC） methodology provides an innovative way to implement signal-level network coding at the presence of interference and without any priori information about channels in fading *** conclusions,the proposed APNC performs well with higher bandwidth utility and lower error rate.

关键词： physical-layer network coding (PNC) independentcomponent analysis (ICA) joint diagonalization network coding cooperative communications.