Blind Recognition of Real Orthogonal STBC Underdetermined Systems Based on Sparse Component Analysis

Buiquang Chung; Zhangtian Qi

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Blind Recognition of Real Orthogonal STBC Underdetermined Systems Based on Sparse Component Analysis

机译：基于稀疏分量分析的实正交STBC欠确定系统的盲识别

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Using sparse component analysis for the blind recognition OSTBC signals, the method for blind recognition of real OSTBC based on SCA is proposed. The proposed algorithm first built the model of received signals and the virtual channel matrix, then the virtual channel matrix is separated by using the RCA algorithm. After that, by according the characteristics of real OSTBC, two characteristic parameters of correlation matrix of virtual channel matrix sparsity and energy of ratio of non main and main diagonal elements energy are proposed to recognize signals.

机译：将稀疏分量分析用于盲目识别OSTBC信号，提出了一种基于SCA的真实OSTBC盲目识别方法。该算法首先建立了接收信号和虚拟信道矩阵的模型，然后使用RCA算法对虚拟信道矩阵进行分离。然后，根据真实OSTBC的特点，提出了虚拟信道矩阵稀疏度的相关矩阵和非主要与主要对角元素能量之比能量的两个特征参数来识别信号。

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来源
《Journal of information and computational science》 |2015年第11期|4203-4213|共11页
作者
Buiquang Chung; Zhangtian Qi;
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作者单位

Chongqing Key Laboratory of Signal and Information Processing (CQKLS&IP), Chongqing University of Posts and Telecommunications (CQUPT), Chongqing 400065, China;

Chongqing Key Laboratory of Signal and Information Processing (CQKLS&IP), Chongqing University of Posts and Telecommunications (CQUPT), Chongqing 400065, China;

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正文语种 eng
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关键词
Orthogonal Space Time Block Coding (OSTBC); Space Time Block Coding Multicarrier Code Division Multiple Access (STBC MC-CDMA); Virtual Channel Matrix; Sparse Component Analysis (SCA);

机译：正交时空块编码（OSTBC）;空时分组编码多载波码分多址（STBC MC-CDMA）;虚拟频道矩阵;稀疏成分分析（SCA）;

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2. Underdetermined Blind Source Separation Based on Source Number Estimation and Improved Sparse Component Analysis [J] . Ma Baoze, Zhang Tianqi Circuits, systems and signal processing . 2021,第7期

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3. Estimation of modal parameters using the sparse component analysis based underdetermined blind source separation [J] . Kaiping Yu, Kai Yang, Yunhe Bai Mechanical systems and signal processing . 2014,第2期

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4. Real Orthogonal STBC MC-CDMA Blind Recognition Based on DEM-Sparse Component Analysis [C] . S.I.M.M. Raton Mondol, Bui Quang Chung, Zhang Tian Qi International Conference on intelligent science and big data engineering . 2015

机译：基于DEM-稀疏分量分析的真实正交STBC MC-CDMA盲识别
5. System approach to robust acoustic echo cancellation through semi-blind source separation based on independent component analysis. [D] . Wada, Ted S. 2012

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6. Underdetermined Blind Source Separation of Synchronous Orthogonal Frequency Hopping Signals Based on Single Source Points Detection [O] . Chaozhu Zhang, Yu Wang, Fulong Jing 2017

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7. Blind decoding of miso-ostbc systems based on principal component analysis [O] . Javier Vía, Ignacio Santamaría, Jesús Pérez, 2006

机译：基于主成分分析的味o-ostbc系统盲解码

Blind Recognition of Real Orthogonal STBC Underdetermined Systems Based on Sparse Component Analysis

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