Programs
- M. Tech. in Automotive Engineering -
- B. Sc. Clinical Nutrition, Dietetics, and Food Science - Undergraduate
Publication Type : Conference Proceedings
Publisher : Institute of Electrical and Electronics Engineers Inc.
Source : International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017, Institute of Electrical and Electronics Engineers Inc. (2017)
Keywords : Absolute values, Cognitive radio, Correlation detectors, Correlation strength, energy detection, Field programmable gate arrays (FPGA), Hybrid architectures, Radio spectra, Radio systems, Received signals, Signal processing, Spectrum holes, Spectrum sensing, Wireless telecommunication systems
Campus : Coimbatore
School : School of Engineering
Center : Electronics Communication and Instrumentation Forum (ECIF)
Department : Electronics and Communication
Verified : No
Year : 2017
Abstract : Several spectrum sensing methods have been introduced to detect spectrum holes in the radio spectrum. Each method has its own strengths and limitations. No single spectrum sensing method works well in all scenarios. Since spectrum sensing is the key enabler in cognitive radio, it should be capable of reliably detecting the presence or absence of primary users. In this paper, we present a hybrid spectrum sensing architecture which combines the advantages of energy detection, autocorrelation based detection and covariance absolute value method (CAV). Based on the availability of information about the received signal and its correlation strength, one of the three methods is used for detection. The sensing time is increased since it has to decide on one among the three techniques. A methodology for deciding the most suitable technique is also proposed. The proposed hybrid architecture has been implemented on Xilinx Virtex 5 board (XC5VLX110T) and the results have been compared with those of the individual methods. © 2017 IEEE.
Cite this Research Publication : P. Ishwerya, Geethu S., and Lakshminarayanan, G., “An efficient hybrid spectrum sensing architecture on FPGA”, International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017. Institute of Electrical and Electronics Engineers Inc., 2017.