室内可见光通信系统中基于压缩感知的空移键控信号检测方法
Space Shift Keying Signal Detection Approach Based on Compressed Sensing in Indoor VLC System
- 电子学报 2022年50卷第1期 页码：36-44
- 作者机构：
1.郑州大学信息工程学院，河南郑州 450001
2.河南工业大学理学院，河南郑州 450001
- 作者简介：
[ "左 婷 女，1995年9月生，河南信阳人.现为郑州大学信息工程学院硕士研究生.研究方向为可见光通信信号检测技术. E-mail：15978370982@163.com" ]
[ "王法松（通信作者） 男，1979年3月生，河南潢川人.工学博士，教授.2002年获中国地质大学（武汉）学士和硕士学位，2013年获西安电子科技大学博士学位.研究方向为可见光通信、稀疏信号处理. E-mail：iefswang@zzu.edu.cn" ]
[ "张建康 男，1982年7月生，河南开封人.工学博士，副教授.2006年获北京邮电大学学士学位，2012年获郑州大学博士学位.研究方向为航空通信、演化计算. E-mail：iejkzhang@zzu.edu.cn" ]
[ "李 睿 女，1979年7月生，河南郑州人.副教授.研究方向为优化理论与算法及其应用. E-mail：slxlirui@haut.edu.cn" ]
- 基金信息：国家自然科学基金(61571401;U1736107;61901366);河南省科技攻关(192102210088);河南省高校科技创新人才(18HASTIT021);国家重点研发项目(019QY0302)
DOI：10.12263/DZXB.20210276
中图分类号： TN911.23;收稿：2021-02-24，
修回：2021-06-09，
纸质出版：2022-01-25
- 稿件说明：
移动端阅览
左婷,王法松,张建康等.室内可见光通信系统中基于压缩感知的空移键控信号检测方法[J].电子学报,2022,50(01):36-44.
ZUO Ting,WANG Fa-song,ZHANG Jian-kang,et al.Space Shift Keying Signal Detection Approach Based on Compressed Sensing in Indoor VLC System[J].ACTA ELECTRONICA SINICA,2022,50(01):36-44.
左婷,王法松,张建康等.室内可见光通信系统中基于压缩感知的空移键控信号检测方法[J].电子学报,2022,50(01):36-44. DOI： 10.12263/DZXB.20210276.
ZUO Ting,WANG Fa-song,ZHANG Jian-kang,et al.Space Shift Keying Signal Detection Approach Based on Compressed Sensing in Indoor VLC System[J].ACTA ELECTRONICA SINICA,2022,50(01):36-44. DOI： 10.12263/DZXB.20210276.
摘要
针对基于空移键控（Space Shift Keying，SSK）的室内可见光通信（Visible Light Communications，VLC）系统中的信号检测，本文将其转换为稀疏信号重构问题，使得具有相对较低计算复杂度的压缩感知（Compressed Sensing，CS）稀疏重构算法成为基于SSK调制的室内VLC系统中一种很有竞争力的信号检测手段.为了满足稀疏重构的测量矩阵性质，提出了一种基于奇异值分解（Singular Value Decomposition，SVD）的测量矩阵预处理方法，在理论上保证了在室内VLC系统中使用基于CS的稀疏信号检测方法的可行性.然后通过采用CS中的正交匹配追踪（Orthogonal Matching Pursuit，OMP）和压缩采样匹配追踪（Compressive Sampling Matching Pursuit，CoSaMP）两种经典算法实现了对室内VLC系统SSK信号的检测，同时还提出了一种新的结合贪婪算法和极大似然算法的稀疏信号重构检测方法.最后，通过计算机仿真验证了该类算法在基于SSK调制的室内VLC系统中信号检测的有效性.仿真结果证实了在基于SSK调制技术的室内VLC系统中，所提的CS检测算法性能可以在实际应用场景的系统参数设置下达到比（Maximum Likelihood，ML）更好的误码率和计算复杂度.
Abstract
Aiming at the signal detection problem in indoor visible light communication(VLC) system based on space shift keying(SSK)
in this paper
by converting signal detection into a sparse signal reconstruction problem
the sparsity signal reconstruction algorithm in compressed sensing(CS) becomes a competitive complement detection approach for its relatively low computational complexity in indoor VLC system. In order to satisfy the measurement matrix property to perform sparse signal reconstruction
a preprocessing approach of measurement matrix is proposed aided by singular value decomposition(SVD)
which theoretically guarantees the feasibility of using sparse signal detection method based on CS in indoor VLC system. Then
by adopting classical orthogonal matching pursuit(OMP) algorithm and compressed sampling matching pursuit(CoSaMP) algorithm
the SSK signals are efficiently detected in the considered indoor VLC system. Meanwhile
a novel OMP combined with maximum likelihood(ML) detection algorithm is presented to detect sparse signal. Finally
the effectiveness of this algorithm in indoor VLC system based on SSK modulation is verified by computer simulations. The results show that for SSK modulation technology in VLC system with practical system parameters setting
the performance of the proposed CS detection algorithm can achieve better bit error rate and lower computation complexity than ML based detection method.
关键词
Keywords
references
CHI N , ZHOU Y , WEI Y , et al . Visible light communication in 6G: Advances, challenges, and prospects [J]. IEEE Vehicular Technology Magazine , 2020 , 15 ( 4 ): 93 - 102 .
JEGANATHAN J , GHRAYEB A , SZCZECINSKI L , et al . Space shift keying modulation for MIMO channels [J]. IEEE Transactions on Wireless Communications , 2009 , 8 ( 7 ): 3692 - 3703 .
POPOOLA W O , HAAS H . Demonstration of the merit and limitation of generalised space shift keying for indoor visible light communications [J]. Journal of Lightwave Technology , 2014 , 32 ( 10 ): 1960 - 1965 .
GAO Z , DAI L , QI C , et al . Near-optimal signal detector based on structured compressive sensing for massive SM-MIMO [J]. IEEE Transactions on Vehicular Technology , 2017 , 66 ( 2 ): 1860 - 1865 .
DONOHO D L . Compressed sensing [J]. IEEE Transactions on Information Theory , 2006 , 52 ( 4 ): 1289 - 1306 .
TROPP J A , GILBERT A C . Signal recovery from random measurements via orthogonal matching pursuit [J]. IEEE Transactions on Information Theory , 2007 , 53 ( 12 ): 4655 - 4666 .
DEANNA N , TROPP J A . CoSaMP: Iterative signal recovery from incomplete and inaccurate samples [J]. Applied and Computational Harmonic Analysis , 2009 , 26 : 301 - 321 .
YU C M , HSIEH S H , LIANG H W , et al . Compressed sensing detector design for space shift keying in MIMO systems [J]. IEEE Communications Letters , 2012 , 16 ( 10 ): 1556 - 1559 .
WU C H , CHUNG W H , LIANG H W . OMP-based detector design for space shift keying in large MIMO systems [C]// IEEE Global Communications Conference . Austin, TX, USA : IEEE , 2014 : 4072 - 4076 .
KALLUMMIL S , KALYANI S . Combining ML and compressive sensing: Detection schemes for generalized space shift keying [J]. IEEE Wireless Communications Letters , 2016 , 5 ( 1 ): 72 - 75 .
王友华 , 张建秋 . 联合稀疏信号恢复的贪婪增强贝叶斯算法 [J]. 电子学报 , 2016 , 44 ( 4 ): 780 - 787 .
WANG Y H , ZHANG J Ｑ . Greedy enhanced Bayesian algorithm for joint sparse signal recovery [J]. Acta Electronica Sinica , 2016 , 44 ( 4 ): 780 - 787 . (in chinese)
ZHANG X , LIU Q , JIN M . Detection of generalized space shift keying signal with sparse reconstruction [J]. IEEE Transactions on Vehicular Technology , 2017 , 66 ( 6 ): 5471 - 5475 .
ZHANG L , ZHU S , ZHANG L , et al . Low-complexity sparse detector for generalised space shift keying [J]. Electronics Letters , 2019 , 55 ( 5 ): 268 - 270 .
Gligorić K , Ajmani M , Vukobratović D , et al . Visible light communications-based indoor positioning via compressed sensing [J]. IEEE Communications Letters , 2018 , 22 ( 7 ): 1410 - 1413 .
LIN B , GHASSEMLOOY Z , XU J , et al . Experimental demonstration of compressive sensing-based channel estimation for MIMO-OFDM VLC [J]. IEEE Wireless Communications Letters , 2020 , 9 ( 7 ): 1027 - 1030 .
王惠琴 , 宋梨花 , 曹明华 , 等 . 湍流信道下光空间调制信号的压缩感知检测 [J]. 光学精密工程 , 2018 , 26 ( 11 ): 2669 - 2674 .
WANG H Q , SONG L H , CAO M H , et al . Compressed sensing detection of optical spatial modulation signal in turbulent channel [J]. Optics and Precision Engineering , 2018 , 26 ( 11 ): 2669 - 2674 . （in Chinese）
AN L , SHEN H , WANG J , et al . Energy efficiency optimization for MIMO visible light communication systems [J]. IEEE Wireless Communications Letters , 2020 , 9 ( 4 ): 452 - 456 .
KOMINE T , NAKAGAWA M , Fundamental analysis for visible-light communication system using LED lights [J]. IEEE Transactions on Consumer Electronics , 2004 , 50 ( 1 ): 100 - 107 .
ZENG L , O'BRIEN D C , MINH H L , et al . High data rate multiple input multiple output (MIMO) optical wireless communications using white led lighting [J]. IEEE Journal on Selected Areas in Communications , 2009 , 27 ( 9 ): 1654 - 1662 .
MOSTAFA A , LAMPE L . Physical-layer security for MISO visible light communication channels [J]. IEEE Journal on Selected Areas in Communications , 2015 , 33 ( 9 ): 1806 - 1818 .
李廉林 , 李芳 . 稀疏感知导论 [M]. 北京 ： 科学出版社 ， 2018 .
LI L L , LI F . Introduction to Sparse Sensing [M]. Beijing : Science Press , 2018 . （in Chinese）
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