A review on polarization‐based spectrum sensing. Issue 10 (14th July 2015)

• Record Type: Journal Article
• Authors: Guo, C. L.; Li, H. Y.
• Is Part Of: Transactions on emerging telecommunications technologies. Volume 27:Issue 10(2016:Oct.)
• Page Start: 1345
• Page End: 1364
• Publication Date: 2015-07-14
• Subjects: Telecommunication -- Periodicals; 384.05
• DOI: 10.1002/ett.2961
• Languages: English
• ISSNs: 2161-5748

Abstract

Abstract: In cognitive radios, the biggest challenge is spectrum sensing. It usually makes use of the amplitude, frequency or space dimension of the received signal to differentiate signal from background noise. Polarization, also as an inherent characteristic of signals, provides an additional degree of freedom in signal space. Polarization‐based spectrum sensing has been identified as an effective method for improving detection performance. In this paper, various polarization‐based spectrum sensing methods including the optimal polarization likelihood ratio test using Neyman–Pearson theorem, virtual polarization detection utilizing maximum signal to noise ratio method and blind polarization detectors based on generalized likelihood ratio test method are reviewed. Then, a comprehensive comparison of various polarization‐based sensing methods in terms of detection performance and computational complexity is detailed. Finally, challenges and possible future studies on polarization‐based spectrum sensing are described. Copyright © 2015 John Wiley & Sons, Ltd. Abstract : Polarization‐based spectrum sensing has been identified as an effective method for improving detection performance. In this paper, various polarization‐based spectrum sensing methods are reviewed and a comprehensive comparison of different methods is detailed. Challenges and future studies on this research area are described.