A Non-Linear Correction Method for Terahertz LFMCW Radar

被引:12
|
作者
Li, Yade [1 ]
Hu, Weidong [1 ]
Zhang, Xin [1 ]
Zhao, Yunzhang [1 ]
Ni, Jiaqi [1 ]
Ligthart, Leo P. [2 ]
机构
[1] Beijing Inst Technol, Beijing Key Lab Millimeter Wave & Terahertz Techn, Beijing 100081, Peoples R China
[2] Delft Univ Technol, Fac Elect Engn, NL-2600 GA Delft, Netherlands
基金
中国国家自然科学基金;
关键词
Voltage-controlled oscillators; Harmonic analysis; Broadband antennas; Radar; Electronics packaging; Bandwidth; Software; Linear frequency modulated continuous wave (LFMCW); nonlinearity correction; phase gradient autofocus (PGA); residual video phase (RVP) removal; range profile; terahertz (THz) radar; FMCW RADAR; GROUP DELAY; AUTOFOCUS; GAIN;
D O I
10.1109/ACCESS.2020.2998602
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The nonlinearity in terahertz (THz) linear frequency modulated continuous wave (LFMCW) radar usually blurs the range profile and decreases the signal to noise ratio, hampering applications where high range-resolution is particularly emphasized. A software correction method, which comprises of transmitted nonlinearity estimation and nonlinear phase compensation for the beat signal, is proposed in this paper to drastically reduce the nonlinearity in THz LFMCW radar. Besides the commonly considered nonlinearity caused by voltage-controlled oscillator (VCO), the nonlinearity from other broadband hardware devices have also been included in our modified correction model, which gives the advantage of preciser compensation. Moreover, utilizing the phase gradient autofocus (PGA) method to estimate the transmitted nonlinear term and the residual video phase (RVP) removal method to remove the range dependency of the received nonlinearity, our method can uniformly compensate the nonlinearity in the whole range profile. In addition, no presupposed parametric model for the nonlinearity waveform is needed, which further strengthens the effectiveness of the proposed method in practical use. Both the simulated data and the real tested data, acquired by a 190 GHz radar with 60 GHz bandwidth, has been used to demonstrate the validity and the effectiveness of the method.
引用
收藏
页码:102784 / 102794
页数:11
相关论文
共 50 条
  • [1] A Method on Non-Linear Correction of Broadband LFMCW Signal Utilizing Its Relative Sweep Non-Linear Error
    Chen Zhuming
    Ding Yiyuan
    & Xiang Jingcheng Dept. of Electronic Engineering
    Journal of Systems Engineering and Electronics, 2001, (01) : 70 - 74
  • [2] Preliminary research on non-linear correction method of sting interference
    He, Z.
    Fan, Z.L.
    Wu, J.Q.
    Lei, Z.
    Liuti Lixue Shiyan yu Celiang/Experiments and Measurements in Fluid Mechanics, 2001, 15 (01):
  • [3] NON-LINEAR ESTIMATION WITH RADAR OBSERVATIONS
    MILLER, KS
    LESKIW, DM
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1982, 18 (02) : 192 - 200
  • [4] Study of terahertz LFMCW imaging radar with Hilbert transform receiver
    Lu, Zheng
    Li, Chao
    Gao, Xiang
    Fang, Guangyou
    ELECTRONICS LETTERS, 2014, 50 (07) : 549 - +
  • [5] Non-linear graphene optics for terahertz applications
    Mikhailov, S. A.
    MICROELECTRONICS JOURNAL, 2009, 40 (4-5) : 712 - 715
  • [6] Study of Terahertz LFMCW Imaging Radar of the Heterodyne and Homodyne Scheme
    Lu, Zheng
    You, Rui
    Zhang, Lu
    Han, Yunzhong
    2017 10TH UK-EUROPE-CHINA WORKSHOP ON MILLIMETRE WAVES AND TERAHERTZ TECHNOLOGIES (UCMMT), 2017,
  • [7] CORRECTION OF A NON-LINEAR CONTROLLED PROCESS
    LAGUNOV, VN
    PMM JOURNAL OF APPLIED MATHEMATICS AND MECHANICS, 1977, 41 (02): : 202 - 209
  • [8] Daily Peak Load Forecasting by non-linear correction T method
    Negishi, Shintaro
    Takayama, Satoshi
    Ishigame, Atsushi
    IEEJ Transactions on Power and Energy, 2015, 135 (03) : 207 - 208
  • [9] The neural network method for non-linear correction of the thermal resistance transducer
    He, W.
    Lan, J. H.
    Yin, Y. X.
    Zhang, Z. H.
    4TH INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY (ISIST' 2006), 2006, 48 : 207 - 211
  • [10] Non-linear distortion correction method for underwater perspective projection image
    Yao Q.
    Zhuang S.
    Tu D.
    Zhang X.
    Xie L.
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2020, 41 (02): : 176 - 183