Wavelet-AI equalization and detection for indoor diffuse infrared wireless systems

This paper briefly reviews motivators for indoor diffuse infrared wireless communications and discusses the difficulties in realizing high data rate implementations. We consider a sub-set of traditional performance enhancing techniques and compare them with the proposed novel wavelet and artificial intelligence (AI) detection mechanism. Results of computer simulations for both the minimum mean square error (MMSE) equalizer and wavelet–AI receivers are presented that indicate the performance of the wavelet–AI receiver is almost indistinguishable from that of the match filter MMSE receiver