Robust Blind Separation for MIMO Systems against Channel Mismatch Using Second-Order Cone Programming
To improve the deteriorated capacity gain and source recovery performance due to channel mismatch problem,this paper reports a research about blind separation method against channel mismatch in multiple-input multiple-output（MIMO） systems.The channel mismatch problem can be described as a channel wi...
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| Veröffentlicht in: | China communications Jg. 14; H. 6; S. 168 - 178 |
|---|---|
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
China Institute of Communications
01.06.2017
School of Automation & Information Engineering, Sichuan University of Science and Engineering, China, Zigong 643000, China%National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China,Chengdu 611731, China |
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| ISSN: | 1673-5447 |
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| Abstract | To improve the deteriorated capacity gain and source recovery performance due to channel mismatch problem,this paper reports a research about blind separation method against channel mismatch in multiple-input multiple-output（MIMO） systems.The channel mismatch problem can be described as a channel with bounded fluctuant errors due to channel distortion or channel estimation errors.The problem of blind signal separation/extraction with channel mismatch is formulated as a cost function of blind source separation（BSS） subject to the second-order cone constraint,which can be called as second-order cone programing optimization problem.Then the resulting cost function is solved by approximate negentropy maximization using quasi-Newton iterative methods for blind separation/extraction source signals.Theoretical analysis demonstrates that the proposed algorithm has low computational complexity and improved performance advantages.Simulation results verify that the capacity gain and bit error rate（BER） performance of the proposed blind separation method is superior to those of the existing methods in MIMO systems with channel mismatch problem. |
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| AbstractList | To improve the deteriorated capacity gain and source recovery performance due to channel mismatch problem, this paper reports a research about blind separation method against channel mismatch in multiple-input multiple-output (MIMO) systems. The channel mismatch problem can be described as a channel with bounded fluctuant errors due to channel distortion or channel estimation errors. The problem of blind signal separation/extraction with channel mismatch is formulated as a cost function of blind source separation (BSS) subject to the second-order cone constraint, which can be called as second-order cone programing optimization problem. Then the resulting cost function is solved by approximate negentropy maximization using quasi-Newton iterative methods for blind separation/extraction source signals. Theoretical analysis demonstrates that the proposed algorithm has low computational complexity and improved performance advantages. Simulation results verify that the capacity gain and bit error rate (BER) performance of the proposed blind separation method is superior to those of the existing methods in MIMO systems with channel mismatch problem. To improve the deteriorated capacity gain and source recovery performance due to channel mismatch problem,this paper reports a research about blind separation method against channel mismatch in multiple-input multiple-output（MIMO） systems.The channel mismatch problem can be described as a channel with bounded fluctuant errors due to channel distortion or channel estimation errors.The problem of blind signal separation/extraction with channel mismatch is formulated as a cost function of blind source separation（BSS） subject to the second-order cone constraint,which can be called as second-order cone programing optimization problem.Then the resulting cost function is solved by approximate negentropy maximization using quasi-Newton iterative methods for blind separation/extraction source signals.Theoretical analysis demonstrates that the proposed algorithm has low computational complexity and improved performance advantages.Simulation results verify that the capacity gain and bit error rate（BER） performance of the proposed blind separation method is superior to those of the existing methods in MIMO systems with channel mismatch problem. |
| Author | Zhongqiang Luo Chengjie Li Lidong Zhu |
| AuthorAffiliation | School of Automation ＆ Information Engineering, Sichuan University of Science and Engineering, China, Zigong 643000, China National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China |
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| Keywords | second-order cone programming multiple-input multiple-output independent component analysis blind source separation channel mismatch |
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| Notes | To improve the deteriorated capacity gain and source recovery performance due to channel mismatch problem,this paper reports a research about blind separation method against channel mismatch in multiple-input multiple-output（MIMO） systems.The channel mismatch problem can be described as a channel with bounded fluctuant errors due to channel distortion or channel estimation errors.The problem of blind signal separation/extraction with channel mismatch is formulated as a cost function of blind source separation（BSS） subject to the second-order cone constraint,which can be called as second-order cone programing optimization problem.Then the resulting cost function is solved by approximate negentropy maximization using quasi-Newton iterative methods for blind separation/extraction source signals.Theoretical analysis demonstrates that the proposed algorithm has low computational complexity and improved performance advantages.Simulation results verify that the capacity gain and bit error rate（BER） performance of the proposed blind separation method is superior to those of the existing methods in MIMO systems with channel mismatch problem. multiple-input multiple-output; channel mismatch; second-order cone programming; blind source separation; independent component analysis 11-5439/TN |
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| PublicationYear | 2017 |
| Publisher | China Institute of Communications School of Automation & Information Engineering, Sichuan University of Science and Engineering, China, Zigong 643000, China%National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China,Chengdu 611731, China |
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| Snippet | To improve the deteriorated capacity gain and source recovery performance due to channel mismatch problem,this paper reports a research about blind separation... To improve the deteriorated capacity gain and source recovery performance due to channel mismatch problem, this paper reports a research about blind separation... |
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| SubjectTerms | blind source separation Channel estimation channel mismatch Cost function Distortion independent component analysis MIMO MIMO系统 Mobile communication multiple-input multiple-output Robustness second-order cone programming 二阶锥规划 信道估计误差 分离提取方法 分离方法 多输入多输出 恢复性能 通道失配 |
| Title | Robust Blind Separation for MIMO Systems against Channel Mismatch Using Second-Order Cone Programming |
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