Adaptive K-Means Based Sampling Frequency Offset Compensation for Ultra-Wideband System

An improved adaptive k-means algorithm is proposed for compensating sampling frequency offsets in multi-band orthogonal frequency division multiplexing (MB-OFDM) ultra-wideband over fiber (UWBoF) system. Simulation results show that the sampling frequency offsets (SFO) of +110 ppm and \pm 225 ppm ca...

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Bibliographic Details
Main Authors: Zhou, Jingyang, Deng, Shuanglong, Tan, Benxiang, Tian, Dandan, Liu, Siyuan, Wu, Liying, Li, Jingming, Xiang, Changqing
Format: Conference Proceeding
Language:English
Subjects:
adaptive k-means
Adaptive systems
Frequency division multiplexing
Frequency modulation
OFDM
Optical fiber communication
Quadrature amplitude modulation
sampling frequency offset (SFO)
Simulation
Ultra-wideband over fiber (UWBoF) system
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Summary:An improved adaptive k-means algorithm is proposed for compensating sampling frequency offsets in multi-band orthogonal frequency division multiplexing (MB-OFDM) ultra-wideband over fiber (UWBoF) system. Simulation results show that the sampling frequency offsets (SFO) of +110 ppm and \pm 225 ppm can be compensated after 100 km of standard single-mode fiber (SSMF) propagation for 64 quadrantal amplitude modulation (QAM) and 16QAM, respectively, and the BER is lower than the hard-decision forward error correction (HD-FEC) threshold.
ISSN:2833-2423
DOI:10.1109/CISCE62493.2024.10653195