Compressed Sensing Based Spectrum Detection for Maritime Cognitive Radio Networks
K.Muthumeenakshi*, Department of Electronics and Communication Engineering, SSn College of Engineering, kalavakkam, Chennai, Tamilnadu, India.
Manuscript received on February 28, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on March 30, 2020. | PP: 5526-5529 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9291038620/2020©BEIESP | DOI: 10.35940/ijrte.F9291.038620
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Cognitive Radio, Maritime Communication, Spectrum Sensing, Compressed Sensin
Scope of the Article: Optical Communication.