PRI Sinusoidal Modulation Feature Extraction and Pulse Sorting Based on EMD

被引:0
|
作者
Wei, Beihai [1 ]
Qi, Chundong [1 ]
Wang, Wenhua [1 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing, Peoples R China
关键词
pulse repetition interval; signal sorting; G feature; Empirical mode decomposition;
D O I
10.1117/12.2559539
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
Radar signal sorting is the key technology of electronic warfare, and pulse repetition interval (PRI) is an important parameter of signal sorting. In this paper, a PRI sinusoidal extraction method of modulation feature based on Empirical mode decomposition (EMD) decomposition is proposed. By defining the S function and performing EMD decomposition on it, the Intrinsic Mode Function (IMF) group obtained. Selecting the appropriate IMF component to extract the sinusoidal modulation period. Combined with the S function, the pulse sequence initially screened, and the modulation characteristics are determined according to the screening results. A pulse sorting algorithm is implemented according to the modulation characteristics. The simulation results show that the proposed method can effectively extract the modulation information from multiple radar pulses with different modulation periods, such as the modulation period of the PRI modulated signal, and complete the sorting of the radar pulse.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Method for Feature Extraction of Radar Full Pulses Based on EMD and Chaos Detection
    Guo, Qiang
    Nan, Pulong
    JOURNAL OF COMMUNICATIONS AND NETWORKS, 2014, 16 (01) : 92 - 97
  • [22] Characteristic Study on the Dynamic Response of Block Based on the EMD Technique of Feature Extraction
    Du, Xianfeng
    Li, Zhijun
    Bi, Fengrong
    Zhang, Junhong
    Wang, Xia
    Shao, Kang
    COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION, PTS 1-2, 2011, 88-89 : 93 - 98
  • [23] Signal Feature Extraction about the Oil Whirl and Oil Oscillation based on EMD
    Xu Baojie
    Liu Ran
    FUNCTIONAL MANUFACTURING AND MECHANICAL DYNAMICS II, 2012, 141 : 483 - 487
  • [24] Feature extraction On Connecting Rod Bearing Fault Based on EMD and Gabor Transformation
    Shen, Hong
    Zhao, Hongdong
    Zeng, Ruili
    Xiao, Yunkui
    Mei, Jianmin
    PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012), 2012, : 1314 - 1317
  • [25] Fault Analysis of Wind Power Rolling Bearing Based on EMD Feature Extraction
    Meng, Debiao
    Wang, Hongtao
    Yang, Shiyuan
    Lv, Zhiyuan
    Hu, Zhengguo
    Wang, Zihao
    CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2022, 130 (01): : 543 - 558
  • [26] Feature Extraction and Classification of sEMG Based on ICA and EMD Decomposition of AR Model
    Shang Xiaojing
    Tian Yantao
    Li Yang
    2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), 2011, : 1464 - 1467
  • [27] Pulse Feature Extraction based on Improved Gaussian Model
    Lu, Guangming
    Jiang, Zhixing
    Ye, Liying
    Huang, Yaotian
    2014 INTERNATIONAL CONFERENCE ON MEDICAL BIOMETRICS (ICMB 2014), 2014, : 90 - 94
  • [28] Human Identification Based on Feature Extraction of Pulse Signal
    Tang, Huanhuan
    Gao, Cuiyun
    Xu, Quan
    Liu, Qingshan
    PROCEEDINGS OF 2021 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT MEDICINE AND IMAGE PROCESSING (IMIP 2021), 2021, : 133 - 139
  • [29] A radar signal sorting algorithm based on PRI
    Liu, Yuhao
    Chen, Yu
    Sun, Songlin
    ISCIT 2019: PROCEEDINGS OF 2019 19TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT), 2019, : 144 - 149
  • [30] Rotary Kiln Cylinder Deformation Measurement and Feature Extraction Based on EMD Method
    Zheng, Kai
    Zhang, Yun
    Zhao, Chen
    Liu, Lei
    ENGINEERING LETTERS, 2015, 23 (04) : 283 - 291