Cyclostationarity based air interface recognition for software radio systems

Reconfigurable software radio equipment is seen as the next evolutionary step in mobile communications. One of the most important properties of a software radio terminal is that it is capable of using a wide range of air interface standards, providing a seamless interoperability between different air interface standards and an enhanced roaming capability. This multimode operation has to be supported by a number of key functionalities, one of which is the air interface recognition. A software radio terminal has to be able to detect, recognize and monitor the air interfaces available in the frequency environment. In our work, we propose exploiting the distinct cyclostationary properties of signals from different air interfaces as features for air interface recognition.