TY - JOUR
T1 - High Accuracy and Low Complexity Frequency Offset Estimation Method Based on All Phase FFT for M-QAM Coherent Optical Systems
AU - Li, Qian
AU - Yang, Aiying
AU - Guo, Peng
AU - Xin, Xiangjun
N1 - Publisher Copyright:
© 2009-2012 IEEE.
PY - 2022/2/1
Y1 - 2022/2/1
N2 - The traditional fast Fourier transform based frequency offset estimation (FFT-FOE) estimates the frequency offset by searching the spectral peak of the signal after the fourth power operation, which is suitable for multiple modulation formats. But the accuracy of FOE is limited by the number of FFT points. In this paper, we propose a high accuracy and low complexity FOE algorithm based on all phase FFT (APFFT-FOE). The accuracy of FOE can be improved effectively with lower additional computational complexity. Simulation results show that the mean square error of APFFT-FOE is reduced by more than one order of magnitude compared with the FFT-FOE. Compared with other FOE algorithms that can achieve the same accuracy, the additional computational complexity required by APFFT-FOE is reduced by more than 50%. Finally, the APFFT-FOE is experimentally verified with 20 GBaud 16/64-QAM modulation signal. The experimental results show that the required OSNR for 16-QAM signal to reach 6.7% hard-decision forward-error correction is relaxed by 0.23 dB. For 64-QAM signal, the required OSNR at 20% soft-decision forward-error correction threshold is relaxed by 0.68 dB.
AB - The traditional fast Fourier transform based frequency offset estimation (FFT-FOE) estimates the frequency offset by searching the spectral peak of the signal after the fourth power operation, which is suitable for multiple modulation formats. But the accuracy of FOE is limited by the number of FFT points. In this paper, we propose a high accuracy and low complexity FOE algorithm based on all phase FFT (APFFT-FOE). The accuracy of FOE can be improved effectively with lower additional computational complexity. Simulation results show that the mean square error of APFFT-FOE is reduced by more than one order of magnitude compared with the FFT-FOE. Compared with other FOE algorithms that can achieve the same accuracy, the additional computational complexity required by APFFT-FOE is reduced by more than 50%. Finally, the APFFT-FOE is experimentally verified with 20 GBaud 16/64-QAM modulation signal. The experimental results show that the required OSNR for 16-QAM signal to reach 6.7% hard-decision forward-error correction is relaxed by 0.23 dB. For 64-QAM signal, the required OSNR at 20% soft-decision forward-error correction threshold is relaxed by 0.68 dB.
KW - Frequency offset estimation
KW - all phase FFT
KW - coherent communication
UR - http://www.scopus.com/inward/record.url?scp=85120656977&partnerID=8YFLogxK
U2 - 10.1109/JPHOT.2021.3126580
DO - 10.1109/JPHOT.2021.3126580
M3 - Article
AN - SCOPUS:85120656977
SN - 1943-0655
VL - 14
JO - IEEE Photonics Journal
JF - IEEE Photonics Journal
IS - 1
ER -