Practical Signal Detection and Classification in GNU Radio

This paper selects a number of effective, general methods for enabling signal detection, estimation, and classification needs for cognitive radio. Implementations of algorithms such as these are of key importance to Dynamic Spectrum Access (DSA). These algorithms are decomposed into logical blocks and then implemented in reusable GNU Radio signal processing blocks. These blocks are then demonstrated in an example GNU Radio application running in a Linux environment, using a Universal Software Radio Peripheral (USRP) as a radio frontend. A second USRP on an unconnected host computer is used to generate the relevant test signals used for training and detection/classification trials.