TY - GEN
T1 - Hybrid blind symbol rate estimation for linearly modulated signals
AU - Lakhdari, Mohammed El Hadi
AU - Wang, Hua
AU - Bouchou, Mohamed
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - In this paper, a hybrid two-stage algorithm for blind symbol rate estimation is proposed, which applies for raised cosine pulse shaped, linearly modulated signals. In the first stage, the inverse (fast) Fourier transform (IFFT) of the averaged power spectrum is used to extract a coarse estimate based on the evaluation of the related baseband signal. In the second stage, a Maximum-likelihood (ML) based algorithm is used for the fine estimation due to its high accuracy. A prior estimation of the carrier frequency is proposed to allow for working in blind environment at low signal-to-noise ratio (SNR) levels. The performance of the proposed algorithm verified by simulation shows a high efficiency with less complexity comparing to the methods published in the open literature.
AB - In this paper, a hybrid two-stage algorithm for blind symbol rate estimation is proposed, which applies for raised cosine pulse shaped, linearly modulated signals. In the first stage, the inverse (fast) Fourier transform (IFFT) of the averaged power spectrum is used to extract a coarse estimate based on the evaluation of the related baseband signal. In the second stage, a Maximum-likelihood (ML) based algorithm is used for the fine estimation due to its high accuracy. A prior estimation of the carrier frequency is proposed to allow for working in blind environment at low signal-to-noise ratio (SNR) levels. The performance of the proposed algorithm verified by simulation shows a high efficiency with less complexity comparing to the methods published in the open literature.
KW - Carrier frequency estimation
KW - Inverse (fast) Fourier transform
KW - Maximum-likelihood
KW - Wavelet transform
UR - http://www.scopus.com/inward/record.url?scp=85047753432&partnerID=8YFLogxK
U2 - 10.1109/ICCT.2017.8359647
DO - 10.1109/ICCT.2017.8359647
M3 - Conference contribution
AN - SCOPUS:85047753432
T3 - International Conference on Communication Technology Proceedings, ICCT
SP - 287
EP - 292
BT - 2017 17th IEEE International Conference on Communication Technology, ICCT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Communication Technology, ICCT 2017
Y2 - 27 October 2017 through 30 October 2017
ER -