Paper
14 February 2019 Frequency reshaping and compensation scheme based on deep neural network for a FTN CAP 9QAM signal in visible light communication system
Yinaer Ha, Wenqing Niu, Nan Chi
Author Affiliations +
Proceedings Volume 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018); 110482F (2019) https://doi.org/10.1117/12.2523089
Event: 17th International Conference on Optical Communications and Networks (ICOCN2018), 2018, Zhuhai, China
Abstract
We have proposed a frequency reshaping and compensation scheme for FTN (Faster-Than-Nyquist) CAP (Carrierless Amplitude and Phase modulation) signal based on machine learning for the first time in this paper. The cascaded post equalizer consists of 2 stages. The first stage digital signal processing (DSP) is a Deep Neural Network (DNN), then LMS post-equalization is conducted as the second stage offline DSP. Through this method, we successfully demonstrated a data rate of 1.12Gbit/s FTN CAP 9QAM modulation over 1meter free space transmission with bit error rate (BER) below 7% FEC threshold of 3.8×10-3. Compared to the traditional FTN CAP modulation without DNN, the proposed method would increase the data rate by approximately 100 Mbps, leading to an improvement of system capacity of 9.8%. The experimental results clearly validate the proposed cascaded two stage DNN-LMS (C2S DNNLMS) can be a promising solution for future high speed VLC system.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yinaer Ha, Wenqing Niu, and Nan Chi "Frequency reshaping and compensation scheme based on deep neural network for a FTN CAP 9QAM signal in visible light communication system", Proc. SPIE 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018), 110482F (14 February 2019); https://doi.org/10.1117/12.2523089
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Digital signal processing

Modulation

Neural networks

Light emitting diodes

Signal processing

Computer programming

Visible radiation

Back to Top