Use of Time-Frequency Analysis and Neural Networks for Mode Identification in a Wireless Software-Defined Radio Approach

The use of time-frequency distributions is proposed as a nonlinear signal processing technique that is combined with a pattern recognition approach to identify superimposed transmission modes in a reconfigurable wireless terminal based on software-defined radio techniques. In particular, a software-defined radio receiver is described aiming at the identification of two coexistent communication modes: frequency hopping code division multiple access and direct sequence code division multiple access. As a case study, two standards, based on the previous modes and operating in the same band (industrial, scientific, and medical), are considered: IEEE WLAN 802.11b (direct sequence) and Bluetooth (frequency hopping). Neural classifiers are used to obtain identification results. A comparison between two different neural classifiers is made in terms of relative error frequency

Spectrum Sensing: A Distributed Approach for Cognitive Terminals

Cognitive Radios is emerging in research laboratories as a promising wireless paradigm, which will integrate benefits of software defined radio with a complete aware communication behavior. To reach this goal many issues remain still open, such as powerful algorithms for sensing the external environment. This paper presents a further step in the direction of allowing cooperative spectrum sensing in peer-to-peer cognitive networks by using distributed detection theory. The approach aims at improving the radio awareness with respect to stand alone scenario as it is shown with theoretical and experimental results

Video and radio attributes extraction for heterogeneous location estimation: A context-based ambient intelligence architecture

A Context-based Ambient Intelligence Architectur

HETEROGENEOUS SENSORS DATA FUSION ISSUES FOR HARBOUR SECURITY

Nowadays security has globally become a critical issue, especially Within communication, transportation, social and business activities key places. As they were in the past, harbours surely are key points for sea towns, significantly Contributing to their life but also creating many safety problems. Multi-sensor processing has a very important role in Surveillance. Research in the field of multi-sensor processing for situation assessment and decision Support is strictly connected with data fusion aspects. In this work, pros and cons, issues and research open points are explored in this field. The chapter describes how state of the art research faces these problems. to go deeper in the details of the video processing methodologies and Solutions to problems of multi-camera tracking, joint calibration and positioning; are also concerned problems of heterogeneous sensors data fusion with the description of a radio/video localization system

DISTRIBUTED COOPERATIVE MODE IDENTIFICATION FOR COGNITIVE RADIO APPLICATIONS

none4noM. GANDETTO; A. CATTONI; M. MUSSO; C. REGAZZONIM., Gandetto; A., Cattoni; M., Musso; Regazzoni, Carl