Method of Weak Communication Signal Detection and Signal Quality Assessment at Low SNR

被引:0
|
作者
Liu, Jiaxing [1 ]
Liu, Yong [2 ]
Hu, Liecheng [3 ]
机构
[1] Univ Sydney, Fac Engn, Sydney, NSW, Australia
[2] Wuhan Maritime Commun Res Inst, Lab Low Frequency Technol, Wuhan, Peoples R China
[3] Univ Technol Sydney, Fac Engn, Sydney, NSW, Australia
关键词
weak signal; Signal-to-noise ratio; Detection and analysis;
D O I
10.1145/3665053.3665057
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
[Purpose] Aiming at the problem that the quality of weak communication signals with low SNR is challenging to be detected by spectrum analysis, the detection and evaluation methods of low SNR communication signals are studied. [Method] The receiving end amplifies and demodulates the low-frequency weak signal by transmitting a specific pseudo-random signal or a normal synchronous head. After demodulation of the communication signal, the correlation calculation with the restored pseudo-random coded signal is carried out, and the amplitude of the weak communication signal is detected. The amplitude of noise contained in the signal is calculated further, and the signal-to-noise ratio is obtained by comparing the signal and noise. Signal-to-noise ratio as the basis of communication signal evaluation. [Results] The signal detection and signal quality evaluation of -10dB signal-to-noise ratio were realized under 500Hz bandwidth. [Conclusion] It can realize the signal quality discrimination without affecting the communication and can grasp the communication signal quality in real-time.
引用
收藏
页码:6 / 10
页数:5
相关论文
共 50 条
  • [1] A first arrival detection method for low SNR microseismic signal
    Ruiqing Hu
    Yanchun Wang
    Acta Geophysica, 2018, 66 : 945 - 957
  • [2] A first arrival detection method for low SNR microseismic signal
    Hu, Ruiqing
    Wang, Yanchun
    ACTA GEOPHYSICA, 2018, 66 (05) : 945 - 957
  • [3] SNR Estimation Method of LFM Signal Detection
    Liu Huaishan
    Zhou Luyang
    Wang Lijie
    Xu Chengkun
    2009 INTERNATIONAL FORUM ON COMPUTER SCIENCE-TECHNOLOGY AND APPLICATIONS, VOL 1, PROCEEDINGS, 2009, : 440 - +
  • [4] Multipath Time Delay Estimation for Low SNR and Weak Signal
    Cheng, Li
    Qin, Shihong
    Zou, Lianying
    2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING APPLICATIONS (CSEA 2015), 2015, : 655 - 660
  • [5] SIGNAL DETECTION IN ATS UNDER LOW SNR CIRCUMSTANCE
    Geng Xiao
    Wang Chenghua
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2009), VOLS 1 AND 2, 2009, : 1087 - 1093
  • [6] Spectrum Window Based Signal Detection at Low SNR
    Saarnisaari, Harri
    Vartiainen, Johanna
    2018 INTERNATIONAL CONFERENCE ON MILITARY COMMUNICATIONS AND INFORMATION SYSTEMS (ICMCIS), 2018,
  • [7] A method of signal extracting in low SNR seismic data
    Xu Z.
    Song L.
    Xia H.
    Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2021, 56 (02): : 242 - 248
  • [8] A method of parameters estimation of BPSK signal at low SNR
    Luo Junhui
    Ji Hongbing
    Liu Jianguo
    PROCEEDINGS OF THE FIRST INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 - 3, 2006, : 380 - 383
  • [9] SNR Walls for Signal Detection
    Tandra, Rahul
    Sahai, Anant
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2008, 2 (01) : 4 - 17
  • [10] A signal quality assessment method for fetal QRS complexes detection
    Zhong, Wei
    Mao, Li
    Du, Wei
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 20 (05) : 7943 - 7956