“A distributed wireless sensor network for radio scene analysis”

In this paper a distributed approach to mode identification is considered. A Wireless Sensor Network composed by Software De- fined and Cognitive terminals is used to classify air interfaces present in the radio scene. Two modes, namely Frequency Hopping Code Division Multiple Access and Direct Sequence Code Division Multiple Access, are identified employing a signal processing technique, Time Frequency analysis, and distributed decision theory. Results in the terms of error probability are obtained, modeling the probability density function of considered features as Asymmetric Generalized and Generalized Gaussian functions.