Micro-motion feature extraction method based on concentration of spectrum

被引:0
|
作者
Xia, Saiqiang [1 ]
Zhou, Yiheng [2 ]
Chen, Yichang [1 ]
Zhou, Zibo [1 ]
机构
[1] Air Force Early Warning Academy, Department of Radar Technology, Wuhan,430019, China
[2] Unit 96943 of The People's Liberation Army, Beijing,102100, China
关键词
Extraction - Feature extraction - Optical variables measurement - Parameter estimation - Signal to noise ratio;
D O I
10.13245/j.hust.238753
中图分类号
学科分类号
摘要
Aiming at the parameter estimation of multi-component micro-Doppler signal without flicker,a micro-motion feature extraction method of target based on the concentration of spectral was proposed. Firstly,the micro-Doppler modulation characteristics of the target were analyzed by the scattering point model.Then,the demodulation operator of the micro-Doppler signal was constructed by using the phase information of the slow time dimension of the target echo,and the singular value ratio spectrum method was introduced to estimate the main period component of the micro-Doppler signal to realize the dimensionality reduction and optimization of the search space. Finally,the parameters of blade number,blade length and initial phase were estimated by calculating the spectral concentration of the product of micro-Doppler signal and demodulation operator.Simulation results show that this method has high estimation accuracy,fast operation speed,and good robustness under the conditions of low signal to noise ratio and search grid mismatch. © 2023 Huazhong University of Science and Technology. All rights reserved.
引用
收藏
页码:57 / 60
相关论文
共 50 条
  • [1] Micro-motion Feature Extraction Based on Bayesian Inference
    Kang, Le
    Zhang, Qun
    Luo, Ying
    Hu, Jian
    Wu, Yong
    [J]. 2017 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM - FALL (PIERS - FALL), 2017, : 940 - 946
  • [2] Wind Turbine Clutter Micro-motion Feature Extraction Method
    Hu, Xuchao
    Tan, Xiansi
    Qu, Zhiguo
    Xu, Qingguang
    [J]. 2019 2ND IEEE INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND SIGNAL PROCESSING (ICICSP), 2019, : 165 - 169
  • [3] The method of micro-motion cycle feature extraction based on confidence coefficient evaluation criteria
    Tang, Chuanzi
    Ren, Hongmei
    Bo, Li
    Jing, Huang
    [J]. LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017, 2017, 10605
  • [4] Feature Extraction and Target Recognition of Missile Targets based on Micro-motion
    Lei Peng
    Li Kang-le
    Liu Yong-xiang
    [J]. PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3, 2012, : 1914 - 1919
  • [5] Micro-Motion Feature Extraction of Spinning Target Based on Angular Doppler Effect
    Li Rui
    Li Kaiming
    Zhang Qun
    Liang Jia
    Luo Ying
    [J]. JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2021, 43 (03) : 547 - 554
  • [6] Feature extraction for target with micro-motion based on radar phase derived range
    [J]. Zhu, D.-K. (thevikingdanes@sina.cn), 1600, China Spaceflight Society (34):
  • [7] Separation and feature extraction of micro-motion signal of ballistic target
    Li, Yuxi
    Feng, Cunqian
    Xu, Xuguang
    Han, Lixun
    Wang, Dayan
    [J]. JOURNAL OF ENGINEERING-JOE, 2021, 2021 (12): : 828 - 837
  • [8] A micro-motion feature deception jamming method to ISAR
    Electronic Engineering Institute, Hefei, China
    [J]. Int Conf Signal Process Proc, (2287-2290):
  • [9] A Micro-Motion Feature Deception Jamming Method to ISAR
    Zhu Ben-yu
    Xue Lei
    Bi Da-ping
    [J]. 2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 2287 - 2290
  • [10] Extraction and Separation of Micro-Motion Feature Based on Mean Likelihood Estimation in Laser Detection
    Guo L.
    Hu Y.
    Wang Y.
    [J]. Hu, Yihua (skl_hyh@163.com), 2017, Chinese Optical Society (37):