Identification of LPI radar signals by higher order spectra and neural network techniques
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Inderscience Publishers
2009
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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 |
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| 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 |
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1643788812303728640 |