Efficient Mid-End Spectrum Sensing Implementation for Cognitive Radio Applications Based on USRP2 Devices
Spectrum sensing is a cornerstone task in cognitive radio environments supporting dynamic spectrum access by spectrum opportunities discovery. It must be reliable and accurate in order not to harm the primary system by incorrect spectrum opportunities decisions. Mid-end spectrum sensing devices are spectrum sensing devices with satisfactory signal detection performances and reasonable price. This paper presents an efficient and flexible mid-end spectrum sensing solution (an USRP2 based spectrum sniffer implementation) that offers many sensing functionalities and detection capabilities by implementing several sensing modes of operation and detector types. Additionally, the paper presents several usage possibilities of this USRP2 spectrum sniffer implementation proving its efficient employment in various spectrum sensing applications.