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This paper presents a work in progress on adaptive cognitive radio system. The paper discusses an approach towards the sensing and detection of primary radio signals using modulation identification technique. Cognitive radio is visualized and realized as an intelligent software package simply referred to as a cognitive engine. In carrying out this work, cognitive radio engine will be developed using Universal Software Radio Peripheral (USRP), GNU radio and Artificial Neural Network (ANN). The USRP and GNU radio will be used to develop the Software Defined Radio (SDR) that will be coupled with ANN for the development of the desired cognitive radio engine that can sense the presence of primary radio signal through its ability to classify different modulation techniques.
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