Output details
10 - Mathematical Sciences
University of Northumbria at Newcastle
Wavelet-Artificial Neural Network Receiver for Indoor Optical Wireless Communications
Professor Angelova’s 2009 theoretical model (Rajbhandari, Ghassemlooy & Angelova, Journal of Lightwave Technology, 27, 20, 4493) is developed to combat the effects of multipath-induced intersymbol interference and fluorescent light interference; the two most important system impairments for indoor optical wireless communication systems. Scheme is also implemented using a Digital Signal Processing board for the first time (and without performance penalty) and results are verified using simulation data. Angelova was the mathematical lead on this interdisciplinary research; results of which led to invited keynote presentation (6th conference on Optics and Applications, Thailand 2011) and invited lecture at University Technology Malaysia (2011).