Doppler spread estimation for OFDM systems using Phase Difference method in Rayleigh fading channels

Walid M. Hadiansyah*, Titiek Suryani, Gamantyo Hendrantoro

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

A method of estimating the Doppler spread in Orthogonal Frequency Division Multiplexing (OFDM) systems, known as Phase Difference method, is described. Channel estimation is performed in time domain over several OFDM symbols, which popularly performed in frequency domain. Channel frequency responses are affected by AWGN and propagation delay, and Rayleigh fading distributed. As a result, Doppler spread estimation is useful to improve Channel Impulse Response (CIR) performance. Furthermore, estimation bias is analyzed and error correcting modified method is advised to reduce estimation precision. From simulation results, it can be concluded that the greater Doppler spread is, the smaller number of pilot symbols are needed to form a circle on the constellation diagram, and conversely. The range of normalized Doppler shift that can be estimated is 0.0117-0.2997. For SNR = 10-30 dB, the error is ± 64.72%, whereas for SNR = 40-80 dB SNR, the error is ± 35.81%.

Original languageEnglish
Title of host publication2012 7th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2012
Pages147-152
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 7th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2012 - Bali, Indonesia
Duration: 30 Oct 201231 Oct 2012

Publication series

Name2012 7th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2012

Conference

Conference2012 7th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2012
Country/TerritoryIndonesia
CityBali
Period30/10/1231/10/12

Keywords

  • Doppler spread
  • OFDM
  • Phase Diference
  • Rayleigh fading
  • SNR
  • channel estimation

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