Micromotion feature extraction of radar target using tracking pulses with adaptive pulse repetition frequency adjustment

被引:3
|
作者
Chen, Yijun [1 ]
Zhang, Qun [1 ,2 ]
Ma, Changzheng [3 ]
Luo, Ying [1 ]
Yeo, Tat Soon [3 ]
机构
[1] Air Force Engn Univ, Inst Informat & Nav, Xian 710077, Peoples R China
[2] Fudan Univ, Key Lab Informat Sci Electromagnet Waves, Minist Educ, Shanghai 200433, Peoples R China
[3] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 11576, Singapore
来源
JOURNAL OF APPLIED REMOTE SENSING | 2014年 / 8卷
基金
中国国家自然科学基金;
关键词
micromotion feature; tracking pulse; varying pulse repetition frequency; orthogonal matching pursuit; DOPPLER; CLASSIFICATION;
D O I
10.1117/1.JRS.8.083569
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In multifunction phased array radar systems, different activities (e.g., tracking, searching, imaging, feature extraction, recognition, etc.) would need to be performed simultaneously. To relieve the conflict of the radar resource distribution, a micromotion feature extraction method using tracking pulses with adaptive pulse repetition frequencies (PRFs) is proposed in this paper. In this method, the idea of a varying PRF is utilized to solve the frequency-domain aliasing problem of the micro-Doppler signal. With appropriate atom set construction, the micromotion feature can be extracted and the image of the target can be obtained based on the Orthogonal Matching Pursuit algorithm. In our algorithm, the micromotion feature of a radar target is extracted from the tracking pulses and the quality of the constructed image is fed back into the radar system to adaptively adjust the PRF of the tracking pulses. Finally, simulation results illustrate the effectiveness of the proposed method. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Feature Extraction of Underwater Acoustic Target Signals Using Gammatone Filterbank and Subband Instantaneous Frequency
    Lian, Zixu
    Wu, Tianshu
    2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2022, : 944 - 949
  • [42] Autonomous cropping and feature extraction using time-frequency marginal distributions for LPI radar classification
    Zilberman, E. R.
    Pace, P. E.
    PROCEEDINGS OF THE EIGHTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING, 2006, : 6 - +
  • [43] Adaptive target and jamming recognition for the pulse doppler radar fuze based on a time-frequency joint feature and an online-updated naive bayesian classifier with minimal risk
    Jian Dai
    Xin-hong Hao
    Ze Li
    Ping Li
    Xiao-peng Yan
    Defence Technology, 2022, (03) : 457 - 466
  • [44] Adaptive target and jamming recognition for the pulse doppler radar fuze based on a time-frequency joint feature and an online-updated naive bayesian classifier with minimal risk
    Jian Dai
    Xin-hong Hao
    Ze Li
    Ping Li
    Xiao-peng Yan
    Defence Technology, 2022, 18 (03) : 457 - 466
  • [45] Adaptive target and jamming recognition for the pulse doppler radar fuze based on a time-frequency joint feature and an online-updated naive bayesian classifier with minimal risk
    Dai, Jian
    Hao, Xin-hong
    Li, Ze
    Li, Ping
    Yan, Xiao-peng
    DEFENCE TECHNOLOGY, 2022, 18 (03) : 457 - 466
  • [46] Moving-Target Tracking by Cognitive RF Stealth Radar Using Frequency Diverse Array Antenna
    Wang, Wen-Qin
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54 (07): : 3764 - 3773
  • [47] ISAR image formation and feature extraction using adaptive joint time-frequency processing
    Ling, H
    Wang, Y
    Chen, VC
    WAVELET APPLICATIONS IV, 1997, 3078 : 424 - 432
  • [48] Automated Radar Image Target Recognition Based on Segmented Feature Extraction Using Adaptive Length Estimation and Hough Lines Aiding Optimized Neural Network Classification
    Sathyendra, Harsha M.
    Stephan, Bryan D.
    2013 IEEE RADAR CONFERENCE (RADAR), 2013,
  • [49] Comments on "Extraction of the natural frequencies of a radar target from a measured response using E-pulse techniques"
    Lee, JH
    Kim, HT
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2005, 53 (11) : 3853 - 3855
  • [50] 3D ISAR image reconstruction of a target with motion data using adaptive feature extraction
    Li, J
    Ling, H
    JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2001, 15 (11) : 1571 - 1587