Blind Bandwidth Shape Recognition for Standard Identification Using USRP Platforms and SDR4all Tools

Abstract

In this paper a blind standard bandwidth shape sensor is implemented on a USRP (Universal Software Radio Peripheral) platform using SDR4all tools. This sensor is a fundamental part 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 SDR4all driver offers a simple yet efficient interface between the Matlab signal processing codes and the USRP transmitting and receiving platforms. To the best of our knowledge, it is the first time that simple and easily accessible software defined radio tools were used to design and implement this sensor. Although the experiments were realized under line-of-sight transmission conditions the results show that the designed system is indeed able to discriminate several standard-like spectrums under real transmission conditions using their different bandwidth shapes.