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
  • [31] Weak signal detection in SPC
    Dohnal, Gejza
    APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2020, 36 (02) : 225 - 236
  • [32] Signal processing for low SNR digital communications
    Marino, CS
    Chau, PM
    CONFERENCE RECORD OF THE THIRTY-SECOND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 1998, : 1007 - 1011
  • [33] A Unified Method for Quality Assessment of Signal Reconstruction
    Qu, Dongdong
    Ma, Baoshan
    Zhou, Jian
    2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 50 - 53
  • [34] A Method to Detect Low-Frequency Ship Pressure Signal under a Low SNR
    Pang, Xueliang
    Wen, Wudi
    Li, Yi
    INTERNATIONAL CONFERENCE ON SENSORS AND INSTRUMENTS (ICSI 2021), 2021, 11887
  • [35] Efficient feature extraction of cycle spectrum and weak communication signal detection
    Li, Shaopeng
    Yan, Kun
    Xiong, Hailiang
    2017 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2017, : 620 - 625
  • [36] Burst signal detection and estimation in low SNR and high-dynamic environments
    Cui, Song-Qi
    An, Jian-Ping
    Wang, Ai-Hua
    Huang, Yan-Dong
    Wang, Yuan
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2015, 35 (03): : 304 - 309
  • [37] MIMO channels in the low SNR regime: Communication rate, error exponent and signal peakiness
    Wu, XZ
    Srikant, R
    2004 IEEE INFORMATION THEORY WORKSHOP, PROCEEDINGS, 2004, : 428 - 433
  • [38] A simplified subjective video quality assessment method based on Signal Detection Theory
    de-Frutos-Lopez, Manuel
    Belen Mejia-Ocana, Ana
    Sanz-Rodriguez, Sergio
    Pelaez-Moreno, Carmen
    Diaz-de-Maria, Fernando
    Pizlo, Zygmunt
    2012 PICTURE CODING SYMPOSIUM (PCS), 2012, : 237 - 240
  • [39] A new method for evaluating the communication quality of FM signal
    Wang Jixiang
    Sun Guang
    ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL II, 2007, : 93 - 95
  • [40] A Real-time Algorithm for Signal Detection Based on Autocorrelation at Low SNR
    Liu, Shaocheng
    Jin, Biao
    Yang, Hujun
    Su, Tao
    2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 2092 - 2095