Space Shift Keying Signal Detection Approach Based on Compressed Sensing in Indoor VLC System

ZUO Ting; WANG Fa-song; ZHANG Jian-kang; LI Rui

doi:10.12263/DZXB.20210276

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Space Shift Keying Signal Detection Approach Based on Compressed Sensing in Indoor VLC System

OPTICAL WIRELESS COMMUNICATION AND NETWORKING TECHNOLOGY | 更新时间：2025-12-08

- Space Shift Keying Signal Detection Approach Based on Compressed Sensing in Indoor VLC System
- ACTA ELECTRONICA SINICA Vol. 50, Issue 1, Pages: 36-44(2022)
- 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：
- 基金信息：
- DOI：10.12263/DZXB.20210276
  CLC： TN911.23;
- Received：24 February 2021，
  
  Revised：2021-06-09，
  
  Published：25 January 2022
- 稿件说明：
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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

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