Time-frequency signatures of micro-Doppler phenomenon for feature extraction

被引:44
|
作者
Chen, VC [1 ]
Lipps, R [1 ]
机构
[1] USN, Res Lab, Div Radar, Washington, DC 20375 USA
来源
WAVELET APPLICATIONS VII | 2000年 / 4056卷
关键词
time-frequency analysis; micro-Doppler; feature extraction;
D O I
10.1117/12.381683
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
In this paper, we introduce the concept of micro-Doppler phenomenon. Micro-Doppler induced by mechanical vibrating or rotating of structures in a target is potentially useful for detection, classification and recognition of targets, While the Doppler frequency due to target body is constant, the micro-Doppler due to vibrating or rotating structures of a target is a function of the dwell time. This time-varying Doppler signature in the time-frequency domain may provide further information for target detection, classification and recognition.
引用
收藏
页码:220 / 226
页数:7
相关论文
共 50 条
  • [1] Selection of time-frequency distribution for extraction of micro-doppler signatures
    Cheng X.
    Liu J.
    Wang X.-S.
    Dai H.-Y.
    Yingyong Kexue Xuebao/Journal of Applied Sciences, 2011, 29 (04): : 397 - 404
  • [2] Urban target classifications using time-frequency micro-Doppler signatures
    Setlur, Pawan
    Amin, Moeness
    Ahmad, Fauzia
    2007 9TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1-3, 2007, : 1282 - 1285
  • [3] Feature extraction of laser micro-doppler signatures based on NMP
    Wang, Xi
    Li, Zhi
    Li, Jian
    Sichuan Daxue Xuebao (Gongcheng Kexue Ban)/Journal of Sichuan University (Engineering Science Edition), 2015, 47 : 130 - 135
  • [4] JOINT TIME-FREQUENCY ANALYSIS OF RADAR MICRO-DOPPLER SIGNATURES FROM AIRCRAFT ENGINE MODELS
    Lim, H.
    Park, J. H.
    Yoo, J. H.
    Kim, C. H.
    Kwon, K. I.
    Myung, N. H.
    JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2011, 25 (8-9) : 1069 - 1080
  • [5] Analysis of radar micro-Doppler signature with time-frequency transform
    Chen, Victor C.
    IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP, 2000, : 463 - 466
  • [6] Analysis of radar micro-doppler signature with time-frequency transform
    Chen, VC
    PROCEEDINGS OF THE TENTH IEEE WORKSHOP ON STATISTICAL SIGNAL AND ARRAY PROCESSING, 2000, : 463 - 466
  • [7] Micro-Doppler Signal Time-Frequency Algorithm Based on STFRFT
    Pang, Cunsuo
    Han, Yan
    Hou, Huiling
    Liu, Shengheng
    Zhang, Nan
    SENSORS, 2016, 16 (10)
  • [8] Enhanced Micro-Doppler Feature Extraction Using Adaptive Short-Time Kernel-Based Sparse Time-Frequency Distribution
    Yang, Yang
    Cheng, Yongqiang
    Wu, Hao
    Yang, Zheng
    Wang, Hongqiang
    REMOTE SENSING, 2024, 16 (01)
  • [9] Extraction of micro-doppler characteristics of drones using high-resolution time-frequency transforms
    Kim, Youngwook
    Nazaroff, Michael
    Oh, Daegun
    MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, 2018, 60 (12) : 2949 - 2954
  • [10] High Resolution Extraction of Radar Micro-Doppler Signature Using Sparse Time-frequency Distribution
    Chen, Xiaolong
    Guan, Jian
    He, You
    2017 XXXIIND GENERAL ASSEMBLY AND SCIENTIFIC SYMPOSIUM OF THE INTERNATIONAL UNION OF RADIO SCIENCE (URSI GASS), 2017,