Lifting Wavelet Transform based FBMC for Visible Light Communication System

• Published in: 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) pp. 595 - 599
• Main Authors: Krishnan, V. Gokula, Deepa, J., Vishnupriya, G., Gowri, B. Shyamala, Raja, S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 05-01-2023
• Subjects: Amplitude modulation; Fast Fourier Transform; Filter Bank Multi-Carrier; Lifting Wavelet Transform; Low latency communication; Mathematical models; Peak to average power ratio; Phase shift keying; Prototypes; Pulse Amplitude Modulation; Visible Light Communication
• DOI: 10.1109/IDCIoT56793.2023.10053421

Lifting Wavelet Transform (LWT) and Pulse Amplitude Modulation (PAM)-based FBMC in VLC will lessen the difficulty of signal processing and address the test of VLC by simplifying the signal processing. Single and four-level LWT-based filter bank multi-carrier (FBMC) simulations using 4-PAM for VLC systems with various wavelet levels have been successfully simulated in this paper. LWT-FBMC is compared to FFT-FBMC using QPSK and 4-QAM and DCT-FBMC using 4-PAM in terms of BER and PAPR. For various channel conditions that are modelled, the BER of LWT-FBMC is lower than that of FFT-FBMC and DCT-FBMC. LWT-FBMC reaches 10-3 at SNR 17dB and 18dB, whereas FFT-FBMC reaches 10-3 at SNR 23dB for =0o and 10o BER. The BER of DCT-FBMC, on the other hand, can only be reduced to a minimum of 10-2 with an SNR of 40 dB. The BER and PAPR are reduced by four levels of LWT-FBMC. Four-level DWT-FBMC using db1 (7.7753 dB) and haar (7.7995 dB) has a lower PAPR than FFT-FBMC, which has a higher PAPR. This study goes into great detail about how the investigation was carried out.