"A Mode Identification System For a Reconfigurable Terminal Using Wigner Distribution and Non-parametric Classifiers"

In this work, a mode identification system for superimposed signals in the same band is presented. More precisely, a pattern recognition approach, based on Wigner Distribution for features extraction and non parametric classifiers (k-Nearest Neighbors and Parzen) is proposed for identifying the transmission modes in an indoor wireless environment A reconfigurable terminal based on Software Defined Radio technology is considered aiming at the identification of the presence of two co-existent communication modes such as Bluetooth, based on Frequency Hopping - Code Division Multiple Access, and IEEE WLAN 802.11b, based on Direct Sequence - Code Division Multiple Access. Results in terms of error classification probability, expressed as relative error frequency, will be provided with a comparison between the use of the two classifiers.