Velocity estimation in cellular systems based on the time-frequency characteristics of the received signal

被引:0
|
作者
Azemi, G [1 ]
Senadji, B [1 ]
Boashash, B [1 ]
机构
[1] Queensland Univ Technol, Signal Proc Res Ctr, Brisbane, Qld 4001, Australia
关键词
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Estimating the velocity of the mobile units is of great importance in hierarchical cellular systems since the satisfactory handover of mobiles to macro or micro-cells depends on its present velocity. In this contribution, the first moment of the instantaneous frequency (IF) of the received signal, is proposed as a new velocity estimator. The performance of this estimator in the presence of Rayleigh fading, log-normal shadowing, and additive white Gaussian noise is compared with the conventional zero crossing rate (ZCR) estimator. Simulations show that the performance of the proposed estimator is superior to that of the ZCR velocity estimator, in the presence of additive noise. Also it has been shown that the IF velocity estimator is robust in the presence of shadowing.
引用
收藏
页码:509 / 512
页数:4
相关论文
共 50 条
  • [31] Signal Existence Verification (SEV) for GPS Low Received Power Signal Detection Using the Time-Frequency Approach
    Jan, Shau-Shiun
    Sun, Chih-Cheng
    SENSORS, 2010, 10 (05) : 4717 - 4738
  • [32] Frequency Hopping Signal Modulation Recognition Based on Time-Frequency Analysis
    Zhang, Jing
    Hou, Changbo
    Lin, Yun
    Zhang, Jie
    Xu, Yongjian
    Chen, Shunshun
    2021 IEEE 18TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SMART SYSTEMS (MASS 2021), 2021, : 46 - 52
  • [33] DOA estimation based on high efficient time-frequency analysis for multiple LFM signal sources
    Hu, Hang
    Li, Shao-Bin
    Yang, Xiu-Ping
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2009, 31 (03): : 534 - 537
  • [34] Time-frequency Analysis of Frequency Hopping Signal Based on Partial Reconstruction
    Zhang, Yongshun
    Jia, Xin
    Yin, Canbin
    2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC), 2017,
  • [35] Solution method for time-frequency responds of servo control systems based on frequency domain characteristics
    Lyu, Dun
    Ren, Yibo
    Chen, Shiji
    Liu, Hui
    MEASUREMENT & CONTROL, 2023, 56 (7-8): : 1333 - 1349
  • [36] Parameter Estimation of Frequency-Hopping Signal in UCA Based on Deep Learning and Spatial Time-Frequency Distribution
    Lin, Meiyan
    Tian, Ye
    Zhang, Xiaoxu
    Huang, Yonghui
    IEEE SENSORS JOURNAL, 2023, 23 (07) : 7460 - 7474
  • [37] DOA Estimation Based on Spatial Time-frequency Analysis
    Liu, B. S.
    Song, H. Y.
    Shi, J.
    Diao, M.
    Yang, C. Y.
    MECHANICAL, CONTROL, ELECTRIC, MECHATRONICS, INFORMATION AND COMPUTER, 2016, : 80 - 85
  • [38] IF Estimation of FM Signals Based on Time-Frequency Image
    Zhang, Haijian
    Bi, Guoan
    Yang, Wen
    Razul, Sirajudeen Gulam
    See, Chong Meng Samson
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2015, 51 (01) : 326 - 343
  • [39] DOA estimation based on time-frequency maximum likelihood
    Tian, Da
    Zhang, Hong
    Chen, Tian-Qi
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2005, 27 (02): : 184 - 188
  • [40] Ultrasonic attenuation estimation based on time-frequency analysis
    Feng Gao
    Jian-Xin Wei
    Bang-Rang Di
    Applied Geophysics, 2019, 16 : 414 - 426