Symbol rate estimation using cyclic correlation and haar wavelet transform

Gangcan Sun*, A. N. Jianping, Jie Yang, Jing Yang, Zhijun Li

*Corresponding author for this work

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

17 Citations (Scopus)

Abstract

To investigate the blind symbol rate estimation of any linear base-band digital modulation scheme with square root raised cosine filter, an algorithm based on cyclic correlation and Haar wavelet transform estimator is proposed. First we use FFT to estimate the bandwidth roughly. Then we set the sampling frequency and range scale of wavelet transform according to bandwidth. Using the signals filtered by wavelet transform, the weighted estimator [5] accuracy of the symbol rate is greatly improved under poor channel environment and little roll-off condition. Computer simulations show the proposed estimator work well under multi-path channel and Gaussian noise channel with SNR equals -5dB, roll-off equals 0.1.

Original languageEnglish
Title of host publication2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
DOIs
Publication statusPublished - 2008
Event2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008 - Dalian, China
Duration: 12 Oct 200814 Oct 2008

Publication series

Name2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

Conference

Conference2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
Country/TerritoryChina
CityDalian
Period12/10/0814/10/08

Keywords

  • Cyclic correlation
  • Haar wavelet transform
  • Symbol rate estimation

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