NDLI: A low-complexity spectrum sensing technique for cognitive radios based on correlation of intra-segment decimated vectors

Content Provider	IEEE Xplore Digital Library
Author	Altaf Ahmed, S.N. Meher, P.K. Vinod, A.P.
Copyright Year	2012
Description	Author affiliation: Embedded System Department, Institute for Infocomm Research, Singapore - 138632 (Altaf Ahmed, S.N.; Meher, P.K.) \|\| School of Computer Engineering, Nanyang Technological University, Singapore - 639798 (Vinod, A.P.)
Abstract	Efficient spectrum sensing plays a vital role in opportunistic and dynamic spectrum access for cognitive radios. Several spectrum sensing algorithms based on energy detection, matched filtering and autocorrelation based feature detection have therefore been proposed in the literature. All these algorithms tend to have higher complexity for achieving better sensing performance, which requires higher computing power and/or more sensing time. Moreover they are not flexible enough to dynamically trade complexity with sensing performance. In this paper, we present a novel low-complexity spectrum sensing technique based on correlation of intra-segment decimated vectors. The primary signal to be detected is sampled at a particular frequency, and digitized samples are segmented and decimated by suitable decimation index. The means of resulting vectors are correlated to detect the presence of the signal. MATLAB simulations of the proposed technique have been carried out to validate the proposed technique. Single-tone and Multi-tone signal at a 25MHz IF frequency and ATSC DTV (in UHF) signal and PAL-B Analog TV (in VHF) signal are down-converted to 25MHz IF frequency, and used to validate the proposed detection technique. Not only the proposed scheme is found to able to detect the presence of a signal effectively, but also the complexity of the proposed scheme is only nearly 1/10th of the complexity (for vector length n = 10) of the simplest of the existing correlation based technique.
Starting Page	443
Ending Page	447
File Size	720839
Page Count	5
File Format	PDF
ISBN	9781467320528
e-ISBN	9781467320542
DOI	10.1109/ICCS.2012.6406187
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-21
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Vectors Correlation Cognitive radio Noise Complexity theory Signal processing algorithms Correlation-based Spectrum Sensing Dynamic Spectrum Access Cognitive Radio
Content Type	Text
Resource Type	Article

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