Detection of interference in slow FH/16-QAM systems using generalized likelihood ratio test

In this paper, we propose a generalized likelihood ratio test (GLRT)-based algorithm to detect the interference encountered in slow frequency-hopped 16-ary quadrature amplitude modulation (FH/16-QAM) systems. Both multitone interference (MTI) and partial-band noise interference (PBNI) are considered...

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Main Authors: Aung, Aye, Teh, Kah Chan, Li, Kwok Hung
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/97724
http://hdl.handle.net/10220/11962
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-977242020-03-07T13:24:47Z Detection of interference in slow FH/16-QAM systems using generalized likelihood ratio test Aung, Aye Teh, Kah Chan Li, Kwok Hung School of Electrical and Electronic Engineering IEEE International Conference on Communication Systems (2012 : Singapore) DRNTU::Engineering::Electrical and electronic engineering In this paper, we propose a generalized likelihood ratio test (GLRT)-based algorithm to detect the interference encountered in slow frequency-hopped 16-ary quadrature amplitude modulation (FH/16-QAM) systems. Both multitone interference (MTI) and partial-band noise interference (PBNI) are considered. By using the GLRT for the linear model, we derive the close-form expression for the test statistic which is expressed in terms of the received signal and interference signal. The corresponding detection threshold is also derived based on a fixed probability of false alarm, which can be known as a constant false alarm rate detector. The results show that the proposed GLRT method is able to provide good detection performance for both types of interference even at low interference power, that is, 6 dB lower than signal power. Moreover, it is shown that the algorithm can also be used to detect the interference under unknown interference dominant environment without having the knowledge of type of interference for detection. 2013-07-22T04:30:53Z 2019-12-06T19:45:52Z 2013-07-22T04:30:53Z 2019-12-06T19:45:52Z 2012 2012 Conference Paper Aung, A., Teh, K. C., & Li, K. H. (2012). Detection of interference in slow FH/16-QAM systems using generalized likelihood ratio test. 2012 IEEE International Conference on Communication Systems (ICCS). https://hdl.handle.net/10356/97724 http://hdl.handle.net/10220/11962 10.1109/ICCS.2012.6406160 en © 2012 IEEE.
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
Aung, Aye
Teh, Kah Chan
Li, Kwok Hung
Detection of interference in slow FH/16-QAM systems using generalized likelihood ratio test
description In this paper, we propose a generalized likelihood ratio test (GLRT)-based algorithm to detect the interference encountered in slow frequency-hopped 16-ary quadrature amplitude modulation (FH/16-QAM) systems. Both multitone interference (MTI) and partial-band noise interference (PBNI) are considered. By using the GLRT for the linear model, we derive the close-form expression for the test statistic which is expressed in terms of the received signal and interference signal. The corresponding detection threshold is also derived based on a fixed probability of false alarm, which can be known as a constant false alarm rate detector. The results show that the proposed GLRT method is able to provide good detection performance for both types of interference even at low interference power, that is, 6 dB lower than signal power. Moreover, it is shown that the algorithm can also be used to detect the interference under unknown interference dominant environment without having the knowledge of type of interference for detection.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Aung, Aye
Teh, Kah Chan
Li, Kwok Hung
format Conference or Workshop Item
author Aung, Aye
Teh, Kah Chan
Li, Kwok Hung
author_sort Aung, Aye
title Detection of interference in slow FH/16-QAM systems using generalized likelihood ratio test
title_short Detection of interference in slow FH/16-QAM systems using generalized likelihood ratio test
title_full Detection of interference in slow FH/16-QAM systems using generalized likelihood ratio test
title_fullStr Detection of interference in slow FH/16-QAM systems using generalized likelihood ratio test
title_full_unstemmed Detection of interference in slow FH/16-QAM systems using generalized likelihood ratio test
title_sort detection of interference in slow fh/16-qam systems using generalized likelihood ratio test
publishDate 2013
url https://hdl.handle.net/10356/97724
http://hdl.handle.net/10220/11962
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