An Experimental Receiver Architecture For Diffuse Indoor Infrared Environments

Wireless networks allow data to be exchanged without the need for fixed connection. Such networks are commonly associated with Radio Frequency (RF) techniques in outdoor environments. More recently, with the advent and widespread use of bluetooth devices and wireless Local Area Network (LAN) products, wireless systems have become more common in the home. It is well understood that the potential data rate offered by the infrared (IR) medium is greater than that offered by current RF technology, however, this high data rate remains untapped in a widespread commercial sense primarily due to the limiting effects of inter symbol interference (ISI) and noise. We propose an alternative to traditional receiver architecture based on the twin concepts of wavelet analysis and artificial intelligence in an attempt to unlock the potentially superior data rates of the IR medium. Keyworks: Diffuse infrared, wavelet analysis, artificial intelligence, inter symbol interference.