Skip to main content

MSVM Aided Signal Detection in Generalized Spatial Modulation VLC System.

Sun, H., Zhang, Y., Wang, F., Zhang, J. and Shi, S., 2021. MSVM Aided Signal Detection in Generalized Spatial Modulation VLC System. IEEE Access, 9, 80360-80372.

Full text available as:

[img]
Preview
PDF (OPEN ACCESS ARTICLE)
SVM_Aided_Signal_Detection_in_Generalized_Spatial_Modulation_VLC_System.pdf - Published Version
Available under License Creative Commons Attribution.

1MB

DOI: 10.1109/ACCESS.2021.3084823

Abstract

Efficient signal detection technique is developed for generalized spatial modulation (GSM) modulated indoor visible light communication (VLC) system, which is aided by a popular machine learning approach termed as support vector machine (SVM). For general VLC system, maximum likelihood (ML) detector has a high computational complexity, although it is the optimal detection algorithm. In order to alleviate this high computational complexity problem, we take the signal detection task in GSM-VLC system as a multiple classification problem, and propose an efficient signal detection scheme for the considered GSM-VLC system aided by SVM, which has lower computational complexity and nearly optimal detection accuracy. Simulation results demonstrate the efficiency of the proposed SVM aided signal detection technique in the considered indoor GSM-VLC system.

Item Type:Article
ISSN:2169-3536
Uncontrolled Keywords:Support Vector Machine (SVM); Signal Detection; Visible Light Communication (VLC); Generalized Spatial Modulation (GSM)
Group:Faculty of Science & Technology
ID Code:35561
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:01 Jun 2021 10:16
Last Modified:15 Aug 2021 08:29

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -