Maximum Doppler Frequency Detection Based on Likelihood Estimation With Theoretical Thresholds

Satoshi Denno, Kazuma Hotta, Yafei Hou

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


This paper proposes a novel maximum Doppler frequency detection technique for user moving velocity estimation. The maximum Doppler frequency is estimated in the proposed detection technique by making use of the fact that user moving velocity is not distributed continuously. The fluctuation of the channel state information during a packet is applied for the proposed detection, in which likelihood estimation is performed by comparing the fluctuation with the thresholds. The thresholds are theoretically derived on the assumption that the fluctuation is distributed with an exponential function. An approximated detection technique is proposed to simplify the theoretical threshold derivation. The performance of the proposed detection is evaluated by computer simulation. The proposed detection accomplishes better detection performance as the fluctuation values are summed over more packets. The proposed detection achieves about 90% correct detection performance in a fading channel with the Eb/N0 = 35 dB, when the fluctuation values are summed over only three packets. Furthermore, the approximated detection also achieves the same detection performance.

Original languageEnglish
Pages (from-to)657-664
Number of pages8
JournalIEICE Transactions on Communications
Issue number5
Publication statusPublished - 2022


  • detection blackerror rate
  • Doppler spread
  • probability density function
  • the maximum Doppler Frequency
  • threshold

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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