Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103909
Title: Time domain averaging and correlation-based improved spectrum sensing method for cognitive radio
Authors: Li, Shenghong
Bi, Guoan
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Issue Date: 2014
Source: Li, S., & Bi, G. (2014). Time domain averaging and correlation-based improved spectrum sensing method for cognitive radio. EURASIP Journal on Advances in Signal Processing, 2014(1), 46-.
Series/Report no.: EURASIP journal on advances in signal processing
Abstract: Based on the combination of time domain averaging and correlation, we propose an effective time domain averaging and correlation-based spectrum sensing (TDA-C-SS) method used in very low signal-to-noise ratio (SNR) environments. With the assumption that the received signals from the primary users are deterministic, the proposed TDA-C-SS method processes the received samples by a time averaging operation to improve the SNR. Correlation operation is then performed with a correlation matrix to determine the existence of the primary signal in the received samples. The TDA-C-SS method does not need any prior information on the received samples and the associated noise power to achieve improved sensing performance. Simulation results are presented to show the effectiveness of the proposed TDA-C-SS method.
URI: https://hdl.handle.net/10356/103909
http://hdl.handle.net/10220/20038
ISSN: 1687-6180
DOI: 10.1186/1687-6180-2014-46
Rights: © 2014 Li and Bi; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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