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In this paper, focusing on identifying standards blindly, the authors propose a bandwidth shape sensor and a GI (guard interval) sensor using USRP (Universal Software Radio Peripheral) platforms and SDR4all tools. These sensors are fundamental parts of the so-called Blind Standard Recognition Sensor. The blind standard bandwidth sensor is based on a Radial Basis Function Neuronal Network designed in Matlab. The authors have presented first experience of using blind standard bandwidth sensor in a previous work. They will provide in this paper further details on the results of this sensor (simulations, preliminary implementations and validations).
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