摘要：This paper considers the problem of compressed wideband spectrum sensing in wideband cognitive radio when partial occupancy status is known. While performing wideband spectrum sensing, incomplete prior information on the occupancy status may be obtained from coexisting narrowband detectors, collaborative sensing nodes or remote database. In this paper, we present a new optimization model in order to incorporate this prior information and then propose a particular weighting strategy in the reconstruction algorithm based on weighted l1 minimization to solve it. Numerical simulation results demonstrate that the use of partially known occupancy status leads to an improvement in detection performance and the proposed approach exploits such prior information effectively. As incorrect prior information is unavoidable in practical situation, cases in which the prior information is non-ideal are also investigated via simulations
关键词：Cognitive Radio;Wideband Spectrum Sensing;Compressed sensing;Partially Known Occupancy Status;Weighted l1 Minimization;Non-ideal Prior Information
