SVM-aided Signal Detection in Generalized Space Shift Keying Visible Light Communication System

Jiandong SHANG; Haobo SUN; Fasong WANG

doi:10.11999/JEIT200711

Volume 43 Issue 10

Oct. 2021

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Jiandong SHANG, Haobo SUN, Fasong WANG. SVM-aided Signal Detection in Generalized Space Shift Keying Visible Light Communication System[J]. Journal of Electronics & Information Technology, 2021, 43(10): 2894-2901. doi: 10.11999/JEIT200711

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Jiandong SHANG, Haobo SUN, Fasong WANG. SVM-aided Signal Detection in Generalized Space Shift Keying Visible Light Communication System[J]. Journal of Electronics & Information Technology, 2021, 43(10): 2894-2901. doi: 10.11999/JEIT200711

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SVM-aided Signal Detection in Generalized Space Shift Keying Visible Light Communication System

doi: 10.11999/JEIT200711

1.
Henan Supercomputing Center, Zhengzhou University, Zhengzhou 450001, China
2.
School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China

Funds: The National Natural Science Foundation of China (61401401), The Science and Technology Research Project of Henan Province (192102210088)

Received Date: 2020-08-11
Rev Recd Date: 2021-04-15

Available Online: 2021-07-14

Publish Date: 2021-10-18

Abstract

Abstract

Novel signal detection technique is conceived for Generalized Space Shift Keying (GSSK) modulated indoor Visible Light Communication (VLC) system, which is aided by one of popular machine learning approach termed as Support Vector Machine (SVM). For general classic VLC system, as the optimal detection algorithm, Maximum Likelihood (ML) detection has a high computational complexity. In order to alleviate this problem, classification idea in SVM is utilized to realize signal detection at the user’s receiving end by a particular trained learning model. As a result, a signal detection algorithm for the considered GSSK-VLC system based on SVM is designed with lower computational complexity and nearly optimal detection accuracy. Simulation results demonstrate that the proposed SVM-aided signal detection technique can have near optima ML Bit Error Rate (BER) performance while the computational complexity is significantly reduced in the considered indoor GSSK-VLC system
- Visible Light Communication (VLC),
- Signal detection,
- Support Vector Machine (SVM),
- Space Shift Keying (SSK),
- Generalized Space Shift Keying (GSSK)

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References(19)

References

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