A cognitive radio receiver front-end IC based on spread spectrum sensing technique

A cognitive radio receiver front-end IC based on spread spectrum sensing technique

Spectrum sensing in cognitive radio is an important part to detect unknown signal(s). This paper introduces a spread spectrum technique for spectrum sensing in cognitive radio in order to detect the availability of input spectrum within 800MHz to 3.5GHz frequency band. The designed receiver front-en...

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Main Authors: Zhang, Ying, Ali, Meaamar, Zheng, Yuanjin
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/106335
http://hdl.handle.net/10220/16617
http://dx.doi.org/10.1109/ISCAS.2013.6571782
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1063352019-12-06T22:09:22Z A cognitive radio receiver front-end IC based on spread spectrum sensing technique Zhang, Ying Ali, Meaamar Zheng, Yuanjin School of Electrical and Electronic Engineering IEEE International Symposium on Circuits and Systems (2013 : Beijing, China) DRNTU::Engineering::Electrical and electronic engineering Spectrum sensing in cognitive radio is an important part to detect unknown signal(s). This paper introduces a spread spectrum technique for spectrum sensing in cognitive radio in order to detect the availability of input spectrum within 800MHz to 3.5GHz frequency band. The designed receiver front-end IC can achieve the simulated gain of 30dB, QVCO phase noise of -117dBc/Hz at 1MHz offset at 2.4GHz carrier, noise figure of 5.3dB, IIP3 of -21dBm and total power dissipation of 90mW, including VCO and Mixer buffer. 2013-10-18T06:46:09Z 2019-12-06T22:09:22Z 2013-10-18T06:46:09Z 2019-12-06T22:09:22Z 2013 2013 Conference Paper Zhang, Y., Ali, M., Zheng, Y. (2013). A cognitive radio receiver front-end IC based on spread spectrum sensing technique. 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), pp61-64. https://hdl.handle.net/10356/106335 http://hdl.handle.net/10220/16617 http://dx.doi.org/10.1109/ISCAS.2013.6571782 en
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Zhang, Ying
Ali, Meaamar
Zheng, Yuanjin
A cognitive radio receiver front-end IC based on spread spectrum sensing technique
description Spectrum sensing in cognitive radio is an important part to detect unknown signal(s). This paper introduces a spread spectrum technique for spectrum sensing in cognitive radio in order to detect the availability of input spectrum within 800MHz to 3.5GHz frequency band. The designed receiver front-end IC can achieve the simulated gain of 30dB, QVCO phase noise of -117dBc/Hz at 1MHz offset at 2.4GHz carrier, noise figure of 5.3dB, IIP3 of -21dBm and total power dissipation of 90mW, including VCO and Mixer buffer.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhang, Ying
Ali, Meaamar
Zheng, Yuanjin
format Conference or Workshop Item
author Zhang, Ying
Ali, Meaamar
Zheng, Yuanjin
author_sort Zhang, Ying
title A cognitive radio receiver front-end IC based on spread spectrum sensing technique
title_short A cognitive radio receiver front-end IC based on spread spectrum sensing technique
title_full A cognitive radio receiver front-end IC based on spread spectrum sensing technique
title_fullStr A cognitive radio receiver front-end IC based on spread spectrum sensing technique
title_full_unstemmed A cognitive radio receiver front-end IC based on spread spectrum sensing technique
title_sort cognitive radio receiver front-end ic based on spread spectrum sensing technique
publishDate 2013
url https://hdl.handle.net/10356/106335
http://hdl.handle.net/10220/16617
http://dx.doi.org/10.1109/ISCAS.2013.6571782
_version_ 1681036686653390848

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