Time-frequency Analysis of Time-Varying Plasma's Influences on PCM-FM Signal

被引：0
|
作者：
Gu, Xianglong [1 ]
Cao, Rui [1 ]
Wang, Zhenkun [1 ]
Hu, Yaxiong [1 ]
Wang, Junjie [1 ]
Zhou, Xin [1 ]
机构：
[1] Northwest Inst Nucl Technol, Xian, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019) | 2019年
关键词：
time-varying plasma; time-frequency analysis PCM-FM signal; phase noise;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the process of hypersonic flight vehicle reentry, plasma sheath form on the aircraft surface because of atmospheric friction.Due to the changes of vehicle speed, posture and height , the atmospheric turbulence and non-uniform ablation, the influence of such factors makes the formed plasma sheath has time-varying characteristics.Statistical properties of telemetry PCM-FM signal change with the plasma's parameters after the signal propagate through the time-varying plasma,and the PCM-FM signal become non-stationary random signal.In order to study the influence of time-varying plasma to PCM-FM signal, The time-frequency analysis is carried out on the output signal using short-time Fourier transform.Analysis results show that the time-varying plasma's influence on the PCM-FM signal perform as amplitude attenuation and phase stray.Increasing the carrier frequency can reduce the influence of amplitude attenuation and improve the quality of the signal to a certain extent.But phase-stray phenornenonstill exist, and can be solved by other methods such as phase filtering.
引用
收藏
页码：1936 / 1939
页数：4
相关论文
共 50 条
  • [31] Time-frequency analysis of TEOAE signal
    Zhang, ZG
    Lin, JS
    Li, LM
    PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 20, PTS 1-6: BIOMEDICAL ENGINEERING TOWARDS THE YEAR 2000 AND BEYOND, 1998, 20 : 1520 - 1522
  • [32] Decomposition of time-varying multicomponent signals using time-frequency based method
    Thayaparan, T.
    Stankovic, L. J.
    Dakovic, M.
    2006 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-5, 2006, : 2468 - +
  • [33] Frequency analysis of time-varying systems
    Bayan, Nima
    Erfani, Shervin
    2006 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY, 2006, : 33 - 36
  • [34] FAST ALGORITHM FOR REAL JOINT TIME-FREQUENCY TRANSFORMATIONS OF TIME-VARYING SIGNALS
    QIAN, SE
    MORRIS, JM
    ELECTRONICS LETTERS, 1990, 26 (08) : 537 - 539
  • [35] Diversity and channel estimation using time-varying signals and time-frequency techniques
    Shen, Hao
    Papandreou-Suppappola, Antonia
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (09) : 3400 - 3413
  • [36] IDENTIFICATION OF TIME-VARYING MODAL PARAMETERS USING LINEAR TIME-FREQUENCY REPRESENTATION
    Xu XiuzhongDepartment of Mechanical Engineering
    Chinese Journal of Mechanical Engineering, 2003, (04) : 445 - 448
  • [37] Polynomial time-frequency distributions and time-varying higher-order spectra: A review of performance for non-stationary signal analysis
    Boashash, B
    Ristic, B
    ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2, 1996, : 650 - 653
  • [38] Frequency estimation of a sinusoidal signal with time-varying amplitude
    Vedyakov, Alexey A.
    Vediakova, Anastasiia O.
    Bobtsov, Alexey A.
    Pyrkin, Anton A.
    Aranovskiy, Stanislav V.
    IFAC PAPERSONLINE, 2017, 50 (01): : 12880 - 12885
  • [39] ONLINE ESTIMATION OF TIME-VARYING FREQUENCY OF A SINUSOIDAL SIGNAL
    Le Van Tuan
    Korotina, Marina
    Bobtsov, Alexey
    Aranovskiy, Stanislav
    Pyrkin, Anton
    IFAC PAPERSONLINE, 2019, 52 (29): : 245 - 250
  • [40] A multiwavelet-based time-varying model identification approach for time-frequency analysis of EEG signals
    Li, Yang
    Luo, Mei-Lin
    Li, Ke
    NEUROCOMPUTING, 2016, 193 : 106 - 114
12345