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

被引:53
作者
Linh Manh Hoang [1 ]
Kim, Minjun [2 ]
Kong, Seung-Hyun [3 ]
机构
[1] Univ Technol Sydney, Ultimo, NSW 2007, Australia
[2] Korea Aerosp Res Inst, Daejeon 34133, South Korea
[3] Korea Adv Inst Sci & Technol, CCS Grad Sch Green Transportat, Daejeon 34141, South Korea
关键词
Waveform recognition; low probability of intercept; single shot multi-box detector; SIGNALS; EXTRACTION;
D O I
10.1109/TSP.2019.2918983
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:3516 / 3530
页数:15
相关论文
共 27 条
  • [1] Boashash B., 2015, TIME FREQUENCY SIGNA
  • [2] Discrete time and frequency Wigner-Ville distribution:: Moyal's formula and aliasing
    Chassande-Mottin, É
    Pai, A
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2005, 12 (07) : 508 - 511
  • [3] IMPROVED TIME-FREQUENCY REPRESENTATION OF MULTICOMPONENT SIGNALS USING EXPONENTIAL KERNELS
    CHOI, HI
    WILLIAMS, WJ
    [J]. IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1989, 37 (06): : 862 - 871
  • [4] TIME FREQUENCY-DISTRIBUTIONS - A REVIEW
    COHEN, L
    [J]. PROCEEDINGS OF THE IEEE, 1989, 77 (07) : 941 - 981
  • [5] FMCW Signal Detection and Parameter Extraction by Cross Wigner-Hough Transform
    Erdogan, A. Yasin
    Gulum, Taylan O.
    Durak-Ata, Lutfiye
    Yildirim, Tulay
    Pace, Phillip E.
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2017, 53 (01) : 334 - 344
  • [6] Girshick R., 2014, IEEE COMP SOC C COMP, DOI [10.1109/CVPR.2014.81, DOI 10.1109/CVPR.2014.81]
  • [7] Extraction of polyphase radar modulation parameters using a Wigner-Viille distribution - Radon transform
    Gulum, T. O.
    Pace, P. E.
    Cristi, R.
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12, 2008, : 1505 - 1508
  • [8] Gulum T. O., 2011, 2011 Proceedings of IEEE 12th International Symposium on Computational Intelligence and Informatics (CINTI 2011), P465, DOI 10.1109/CINTI.2011.6108551
  • [9] Interception of Multiple Low-Power Linear Frequency Modulated Continuous Wave Signals
    Hamschin, Brandon M.
    Ferguson, John D.
    Grabbe, Michael T.
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2017, 53 (02) : 789 - 804
  • [10] Howard A.G., 2013, Some improvements on deep convolutional neural network based image classification