Compressed Sensing Based Spectrum Detection for Maritime Cognitive Radio Networks

Abstract

Maritime communication is important for information exchange between ships, location and tracking. Expeditious growth in marine communication has led to utilization of the allocated spectrum heavily. For example, Automatic Identification System (AIS) is a maritime system which uses VHF band for communication. Also, in recent times, wireless services are increasing, thereby require new spectral resources. Thus to efficiently utilize the spectral resources in maritime communication, Cognitive Radio (CR) can be employed. Spectrum for new service can be dynamically accessed along with the existing marine services. Thus to detect the spectrum availability, a compressed sensing (CS) based detection for maritime CR network (MCRN) is proposed in this paper and compared with the energy detection. Simulation results confirm the efficacy of the proposed algorithm.