Estimation Method for Actual Quality of Non-Stationary Radio Communication Channels by Telegraph Distortion Value

被引:0
|
作者
Kosykh, Anatoly V. [1 ]
Khazan, V. L. [1 ]
机构
[1] Omsk State Tech Univ, Omsk, Russia
关键词
discrete messages; stationary intervals; adaptation to communication conditions; communication channel quality criteria; signal power-to-noise ratio; delay line; sliding window;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Radio communication channels for the transmission of discrete messages are typically affected by various types of additive and multiplicative interferences resulting in nonstationary radio lines. The quality of such radio line changes over time and this requires constant adaptation of receiving and transmission apparatus to the conditions of communication. To implement the modes of adaptation, continuous assessment of the quality of communication channels is required. One of the basic criteria for quality assessment of a discrete communication channel is the degree of telegraph (end) distortions for transmitted message unit intervals. This degree is specified by the received power-to-noise ratio. The paper examines the issue of defining the relationship between the signal power-to-noise ratio and the mean value of telegraph distortions for various manipulations (AM, FM, RPM). A relatively simple estimation method is proposed for the current mean telegraph distortion value over the entire period of message reception in a "sliding window" at an assigned limited time interval, this "sliding window" being less than the time interval of communication channel stationarity. The findings of the study can be applied in design of devices for receiver adaptation to communication conditions.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] Efficient estimation of return value distributions from non-stationary marginal extreme value models using Bayesian inference
    Ross, Emma
    Randell, David
    Ewans, Kevin
    Feld, Graham
    Jonathan, Philip
    OCEAN ENGINEERING, 2017, 142 : 315 - 328
  • [32] Non-stationary and Doubly-Selective Channel Estimation Method Based on Basis Expansion Model
    Shen X.-F.
    Liao Y.
    Dai X.-W.
    Liu K.
    Wang D.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2019, 47 (01): : 204 - 210
  • [33] A Robust Angle Estimation Method for Bistatic MIMO Radar About Non-stationary Random Noise
    Gong, Jian
    Lou, Shuntian
    Guo, Yiduo
    WIRELESS PERSONAL COMMUNICATIONS, 2019, 106 (02) : 439 - 450
  • [35] A Robust Angle Estimation Method for Bistatic MIMO Radar About Non-stationary Random Noise
    Jian Gong
    Shuntian Lou
    Yiduo Guo
    Wireless Personal Communications, 2019, 106 : 439 - 450
  • [36] A Novel Method for Non-Stationary CFO Estimation and Tracking in Inter-UAV OFDM Links
    Banerjee, Subhankar
    Giridhar, K.
    2019 IEEE 90TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-FALL), 2019,
  • [37] The recognition method of thunder based on a noise-estimation algorithm for highly non-stationary environments
    Gu Shanqiang
    Zhang Han
    Feng Wanxing
    Zhao Chun
    Wu Dawei
    Yan Biwu
    Guo Juntian
    Tian Hao
    2016 33RD INTERNATIONAL CONFERENCE ON LIGHTNING PROTECTION (ICLP), 2016,
  • [38] Quality-related non-stationary process fault detection method by common trends model
    Shao Y.
    Zhao Z.
    Liu F.
    Huagong Xuebao/CIESC Journal, 2023, 74 (06): : 2522 - 2537
  • [39] A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes
    Dong, Jie
    Li, Daye
    Wei, Yanmei
    Peng, Kaixiang
    Yang, Hui
    Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences, 2024, 56 (06): : 15 - 24
  • [40] Estimation of Extreme Value Distribution and Probability of Minor Failures in Rockfill Dam Response to Non-Stationary Seismic Excitation
    Cai, Guo-zhen
    Song, Laifu
    Wang, Wei
    Gong, Han-Bin
    Zou, Yi
    Pan, Hui-Zhen
    GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2024, 42 (07) : 5631 - 5649