Indoor Optical Wireless Communication System Using Wavelet Transform and Neural Network Based on Pulse Position Modulation Intended for Optical Wireless Channel Characterization

In this paper, various characterizations of the optical wireless communication system (OWCS) based on WT-ANN for PPM modulation are explored. Stationary wavelet transform (SWT) is designed and simulated in the proposed system, to enhance the performance and to reduce the fluorescent light interference (FLI), based on pulse position modulation (PPM), in OWCS, which has been proposed using discrete wavelet transform (DWT) in the previous study. Reduction of noise, improvement in efficiency and overall improved performance are the various parameters taken into consideration to enrich the performance of the proposed structure of the OWCS.