TY - JOUR
T1 - A feature extraction and pattern recognition receiver employing wavelet analysis and artificial intelligence for signal detection in diffuse optical wireless communications
AU - Dickenson, Robert
AU - Ghassemlooy, Zabih
PY - 2003/4/29
Y1 - 2003/4/29
N2 - Optical wireless diffuse indoor infrared communication systems have as yet large unrealized bandwidths that are not subject to the same regulatory control as radio frequency systems. Usually, well established RF techniques are used to combat channel imperfections for IR implementations. Here, we introduce a novel receiver system based on the multiresolution time-frequency feature extraction capabilities of wavelet analysis, coupled with the well recognized pattern recognition performance of artificial neural networks for mitigating the effects of bandwidth limiting channel-induced distortion.
AB - Optical wireless diffuse indoor infrared communication systems have as yet large unrealized bandwidths that are not subject to the same regulatory control as radio frequency systems. Usually, well established RF techniques are used to combat channel imperfections for IR implementations. Here, we introduce a novel receiver system based on the multiresolution time-frequency feature extraction capabilities of wavelet analysis, coupled with the well recognized pattern recognition performance of artificial neural networks for mitigating the effects of bandwidth limiting channel-induced distortion.
UR - https://www.scopus.com/pages/publications/0037832237
U2 - 10.1109/MWC.2003.1196404
DO - 10.1109/MWC.2003.1196404
M3 - Article
SN - 1536-1284
VL - 10
SP - 64
EP - 72
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
IS - 2
ER -