GLRT-Based Spectrum Sensing Techniques for Pulse Radar Signals

Radar frequency bands are known to be relatively wide and underutilized, potentially allowing for higher spectral usage by means of the cognitive radio technology. One of the most crucial functionalities in cognitive radio is spectrum sensing, which aims at detecting the presence of a primary user signal in the band of interest. Based on the fact that pulse radar signals can be modeled as a train of rectangular pulses with two amplitude levels, we develop a generalized likelihood ratio test spectrum sensing scheme, as well as its less complex sub-optimal variations, to detect the presence of such signals. The performances of the developed schemes are compared in terms of the probabilities of detection and false alarm via computer simulation.