Automatic Recognition of General LPI Radar Waveform Using SSD and Supplementary Classifier

Hoang, LM; Kim, M; Kong, SH

Automatic Recognition of General LPI Radar Waveform Using SSD and Supplementary Classifier

Hoang, LM Kim, M Kong, SH

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Signal Processing, 2019, 67, (13), pp. 3516-3530
Issue Date:: 2019-07-01

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Field	Value	Language
dc.contributor.author	Hoang, LM
dc.contributor.author	Kim, M
dc.contributor.author	Kong, SH
dc.date.accessioned	2020-06-04T22:28:42Z
dc.date.available	2020-06-04T22:28:42Z
dc.date.issued	2019-07-01
dc.identifier.citation	IEEE Transactions on Signal Processing, 2019, 67, (13), pp. 3516-3530
dc.identifier.issn	1053-587X
dc.identifier.issn	1941-0476
dc.identifier.uri	http://hdl.handle.net/10453/141108
dc.description.abstract	© 1991-2012 IEEE. For low probability of intercept (LPI) radars, frequency-modulated and phase-modulated continuous waveforms are widely used because of their low peak power compared to that of pulse waves (PW). However, there has been a limited number of studies on recognizing continuous wave (CW) LPI radar, in spite of its importance and popularity. In this paper, in order to recognize both PW and CW LPI radar waveforms, we propose an LPI radar waveform recognition technique (LWRT) based on a single-shot multi-box detector (SSD) and a supplementary classifier. It is demonstrated with Monte Carlo simulations that the proposed LWRT achieves classification performance similar to that of the current LWRT with the highest classification performance for PW LPI radar waveforms, even without the prior condition used in existing LWRTs. For CW LPI radar waveforms, on the other hand, with the combination of the SSD and the supplementary classifier, the proposed LWRT achieves extraordinary recognition performance for all 12 LPI radar modulation schemes (i.e., BPSK, Costas, LFM, Frank, P1, P2, P3, P4, T1, T2, T3, and T4) considered in the literature.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Signal Processing
dc.relation.isbasedon	10.1109/TSP.2019.2918983
dc.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject.classification	Networking & Telecommunications
dc.title	Automatic Recognition of General LPI Radar Waveform Using SSD and Supplementary Classifier
dc.type	Journal Article
utslib.citation.volume	67
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Students
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-06-04T22:28:34Z
pubs.issue	13
pubs.publication-status	Published
pubs.volume	67
utslib.start-page	3516
utslib.citation.issue	13

Abstract:

© 1991-2012 IEEE. For low probability of intercept (LPI) radars, frequency-modulated and phase-modulated continuous waveforms are widely used because of their low peak power compared to that of pulse waves (PW). However, there has been a limited number of studies on recognizing continuous wave (CW) LPI radar, in spite of its importance and popularity. In this paper, in order to recognize both PW and CW LPI radar waveforms, we propose an LPI radar waveform recognition technique (LWRT) based on a single-shot multi-box detector (SSD) and a supplementary classifier. It is demonstrated with Monte Carlo simulations that the proposed LWRT achieves classification performance similar to that of the current LWRT with the highest classification performance for PW LPI radar waveforms, even without the prior condition used in existing LWRTs. For CW LPI radar waveforms, on the other hand, with the combination of the SSD and the supplementary classifier, the proposed LWRT achieves extraordinary recognition performance for all 12 LPI radar modulation schemes (i.e., BPSK, Costas, LFM, Frank, P1, P2, P3, P4, T1, T2, T3, and T4) considered in the literature.

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http://hdl.handle.net/10453/141108