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Identification of LPI radar signals by higher order spectra and neural network techniques

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Main Authors: Anjaneyulu, Lokam, Sarma, N.V S N, Murthy, N.S.
Other Authors: murthy@unimap.edu.my
Format: Article
Language:English
Published: Inderscience Publishers 2009
Subjects:
Spectral analysis
Emitter identification
Artificial neural networks
Back-propagation
Communication technology
Higher order
HOSA
Low probability of intercept radar
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7432
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spelling my.unimap-74322009-12-29T07:03:02Z Identification of LPI radar signals by higher order spectra and neural network techniques Anjaneyulu, Lokam Sarma, N.V S N Murthy, N.S. murthy@unimap.edu.my Spectral analysis Emitter identification Artificial neural networks Back-propagation Communication technology Higher order HOSA Low probability of intercept radar Link to publisher's homepage at http://www.inderscience.com LPI radars use continuous wave, wide bandwidth low power signals of the order of a few watts making its detection difficult. The important advantage of LPI radar is to go undetected, while maintaining a strong battlefield awareness. Common spectral analysis and conventional methods fail to detect emissions of LPI radars and even normal radars in noisy environments. This leads us to use higher order spectral analysis (HOSA) techniques enabling us to extract much more information from the same intercept and hence facilitating detection. This paper reports the results of HOSA techniques (bi-spectrum, bi-coherence and tri-spectrum) and artificial neural networks (ANNs), applied to LPI radar signals. Bi-phase Barker coded signals of different lengths, P1, P2, P3 and P4 polyphase coded signals and Frank signal are analysed using HOSA techniques to produce 2-D signatures of these signals. An artificial neural network (ANN) is trained on these signatures so that it will be able to detect and identify the LPI radar signal whose type is unknown when received. The results obtained clearly indicate the promising capability of these techniques to identify the type of LPI signal even with SNRs as low as -3 dB. 2009-12-29T07:03:01Z 2009-12-29T07:03:01Z 2009 Article International Journal of Information and Communication Technology, vol.2 (1-2), 2009, pages 142-155. 1466-6642 (Print) 1741-8070 (Online) http://inderscience.metapress.com/openurl.asp?genre=article&eissn=1741-8070&volume=2&issue=1&spage=142 http://hdl.handle.net/123456789/7432 en Inderscience Publishers
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Spectral analysis
Emitter identification
Artificial neural networks
Back-propagation
Communication technology
Higher order
HOSA
Low probability of intercept radar
spellingShingle Spectral analysis
Emitter identification
Artificial neural networks
Back-propagation
Communication technology
Higher order
HOSA
Low probability of intercept radar
Anjaneyulu, Lokam
Sarma, N.V S N
Murthy, N.S.
Identification of LPI radar signals by higher order spectra and neural network techniques
description Link to publisher's homepage at http://www.inderscience.com
author2 murthy@unimap.edu.my
author_facet murthy@unimap.edu.my
Anjaneyulu, Lokam
Sarma, N.V S N
Murthy, N.S.
format Article
author Anjaneyulu, Lokam
Sarma, N.V S N
Murthy, N.S.
author_sort Anjaneyulu, Lokam
title Identification of LPI radar signals by higher order spectra and neural network techniques
title_short Identification of LPI radar signals by higher order spectra and neural network techniques
title_full Identification of LPI radar signals by higher order spectra and neural network techniques
title_fullStr Identification of LPI radar signals by higher order spectra and neural network techniques
title_full_unstemmed Identification of LPI radar signals by higher order spectra and neural network techniques
title_sort identification of lpi radar signals by higher order spectra and neural network techniques
publisher Inderscience Publishers
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7432
_version_ 1643788812303728640
score 13.214268

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