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 50 条
  • [41] An Efficient Automatic Overlapped Fingerprint Identification and Recognition Using ANFIS Classifier
    S. Jeyanthi
    N. Uma Maheswari
    R. Venkatesh
    International Journal of Fuzzy Systems, 2016, 18 : 478 - 491
  • [42] An Efficient Automatic Overlapped Fingerprint Identification and Recognition Using ANFIS Classifier
    Jeyanthi, S.
    Maheswari, N. Uma
    Venkatesh, R.
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2016, 18 (03) : 478 - 491
  • [43] Automatic speech recognition using a predictive echo state network classifier
    Skowronski, Mark D.
    Harris, John G.
    NEURAL NETWORKS, 2007, 20 (03) : 414 - 423
  • [44] A robust algorithm for automatic target recognition using passive radar
    Ehrman, LM
    Lanterman, AD
    PROCEEDINGS OF THE THIRTY-SIXTH SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY, 2004, : 102 - 106
  • [45] Automatic target recognition using multi-diversity radar
    Vespe, M.
    Baker, C. J.
    Griffiths, H. D.
    IET RADAR SONAR AND NAVIGATION, 2007, 1 (06): : 470 - 478
  • [46] Automatic target recognition system using high resolution radar
    Jacobs, SP
    OSullivan, JA
    Faisal, M
    Snyder, DL
    RADAR PROCESSING, TECHNOLOGY, AND APPLICATIONS, 1996, 2845 : 84 - 95
  • [47] An approach to automatic target recognition in radar images using SVM
    Hernandez, Noslen
    Gil Rodriguez, Jose Luis
    Martin, Jorge A.
    Silva Mata, Francisco
    Gonzalez, Ricardo
    Alvarez, Raul
    PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS AND APPLICATIONS, PROCEEDINGS, 2006, 4225 : 964 - 973
  • [48] Radar HRRP automatic target recognition using amplitude information
    Chen, Feng
    Du, Lan
    Liu, Hong-Wei
    Bao, Zheng
    Hou, Qing-Yu
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2009, 37 (03): : 459 - 463
  • [49] Road Surface Recognition Using Laser Radar for Automatic Platooning
    Aki, Masahiko
    Rojanaarpa, Teerapat
    Nakano, Kimihiko
    Suda, Yoshihiro
    Takasuka, Naohito
    Isogai, Toshiki
    Kawai, Takeo
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (10) : 2800 - 2810
  • [50] RADAR WAVEFORM RECOGNITION USING FOURIER-BASED SYNCHROSQUEEZING TRANSFORM AND CNN
    Kong, Gyuyeol
    Koivunen, Visa
    2019 IEEE 8TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP 2019), 2019, : 664 - 668