A tree-structured DFT filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radios

Cognitive Radio (CR) aims to provide efficient spectrum utilization in spectrum scarce wireless environments. One of the key CR functionalities is the spectrum sensing, which allows CRs to monitor the electromagnetic spectrum and detect unused bands of spectrum. Wideband spectrum sensing needs to be...

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Main Authors: Narendar, M., Madhukumar, A. S., Vinod, Achutavarrier Prasad, Krishna, Anoop Kumar
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/107346
http://hdl.handle.net/10220/18027
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1073462020-05-28T07:41:34Z A tree-structured DFT filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radios Narendar, M. Madhukumar, A. S. Vinod, Achutavarrier Prasad Krishna, Anoop Kumar School of Computer Engineering DRNTU::Engineering::Computer science and engineering Cognitive Radio (CR) aims to provide efficient spectrum utilization in spectrum scarce wireless environments. One of the key CR functionalities is the spectrum sensing, which allows CRs to monitor the electromagnetic spectrum and detect unused bands of spectrum. Wideband spectrum sensing needs to be employed for better spectrum opportunity detection and interference avoidance both in the case of commercial and military applications. Accurate sensing needs to be employed for blocker detection in commercial systems such as LTE for the design of transmit/receive path. In military radios, the challenge lies in the robust detection of the location of the center frequencies and bandwidths of individual radio channels in the wideband input signal. In this paper, an energy detector based on tree-structured discrete Fourier transform based filter bank (TDFTFB) is proposed for detecting the edges of the channels in the spectrum. The proposed method is compared with the conventional wavelets based method for complexity and performance. The design example and simulations show that the gate count resource utilization of the proposed detection scheme is 22.9% lesser than the wavelets method at the cost of a slight degradation (0.5%) in detection accuracy. Over-the-air tests performed using Universal Software Radio Peripheral 2 (USRP2) and MATLAB/SIMULINK showed that the present method is not input specific whereas the conventional wavelet based approach depends on the spectral location of the input. 2013-12-04T05:03:34Z 2019-12-06T22:29:09Z 2013-12-04T05:03:34Z 2019-12-06T22:29:09Z 2013 2013 Journal Article Narendar, M., Vinod, A. P., Madhukumar, A. S., & Krishna, A. K. (2013). A tree-structured DFT filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radios. Physical communication, 9, 45-60. 1874-4907 https://hdl.handle.net/10356/107346 http://hdl.handle.net/10220/18027 10.1016/j.phycom.2013.06.001 en Physical communication
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Narendar, M.
Madhukumar, A. S.
Vinod, Achutavarrier Prasad
Krishna, Anoop Kumar
A tree-structured DFT filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radios
description Cognitive Radio (CR) aims to provide efficient spectrum utilization in spectrum scarce wireless environments. One of the key CR functionalities is the spectrum sensing, which allows CRs to monitor the electromagnetic spectrum and detect unused bands of spectrum. Wideband spectrum sensing needs to be employed for better spectrum opportunity detection and interference avoidance both in the case of commercial and military applications. Accurate sensing needs to be employed for blocker detection in commercial systems such as LTE for the design of transmit/receive path. In military radios, the challenge lies in the robust detection of the location of the center frequencies and bandwidths of individual radio channels in the wideband input signal. In this paper, an energy detector based on tree-structured discrete Fourier transform based filter bank (TDFTFB) is proposed for detecting the edges of the channels in the spectrum. The proposed method is compared with the conventional wavelets based method for complexity and performance. The design example and simulations show that the gate count resource utilization of the proposed detection scheme is 22.9% lesser than the wavelets method at the cost of a slight degradation (0.5%) in detection accuracy. Over-the-air tests performed using Universal Software Radio Peripheral 2 (USRP2) and MATLAB/SIMULINK showed that the present method is not input specific whereas the conventional wavelet based approach depends on the spectral location of the input.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Narendar, M.
Madhukumar, A. S.
Vinod, Achutavarrier Prasad
Krishna, Anoop Kumar
format Article
author Narendar, M.
Madhukumar, A. S.
Vinod, Achutavarrier Prasad
Krishna, Anoop Kumar
author_sort Narendar, M.
title A tree-structured DFT filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radios
title_short A tree-structured DFT filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radios
title_full A tree-structured DFT filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radios
title_fullStr A tree-structured DFT filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radios
title_full_unstemmed A tree-structured DFT filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radios
title_sort tree-structured dft filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radios
publishDate 2013
url https://hdl.handle.net/10356/107346
http://hdl.handle.net/10220/18027
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