Spectrum sensing and sharing for cognitive radars

Abstract

This study deals with the problem of spectrum sensing and spectrum sharing for cognitive radar operating in spectrally dense environments. The authors focus on how compressed sensing in spectrum sensing can allow a significant reduction in acquisition time reducing the cost for high‐resolution analogue‐to‐digital converters. They derive an algorithm for estimating the channel parameters that characterise the behaviour of the primary user of the channel and also define a spectrum‐sharing method to minimise the interference between the radar and the primary user.