Paper Info
Title
Robust Semi-Blind Estimation of Channel and CFO for GFDM Systems
Abstract
We propose a robust semi-blind estimation scheme of channel and carrier frequency offset (CFO) for generalized frequency division multiplexing (GFDM) systems. This, to the best of our knowledge, is the first work to propose an integral solution to channel and full-range CFO for a wide range of GFDM systems. Based on the derived equivalent system model with CFO included implicitly, a subspace based method is proposed to perform initial channel estimation blindly, which requires only a small number of received symbols to achieve the second order statistics of the received signal. Then, CFO estimation and channel ambiguity elimination are undertaken in series by utilizing a small number of nulls and pilots in a single sub-symbol. Both channel and CFO estimations are more robust against inter-carrier interference (ICI) and inter-symbol interference (ISI) caused by the nonorthogonal filter of GFDM, compared to the existing methods. The proposed scheme achieves a bit error rate (BER) performance close to the ideal case with perfect CFO and channel estimations especially at medium and high signal-to-noise-ratios (SNRs).
Year
DOI
Venue
2019
10.1109/ICC.2019.8761213
IEEE International Conference on Communications
Field
DocType
ISSN
Small number,Subspace topology,Computer science,Carrier frequency offset,Generalized frequency division multiplexing,Communication channel,Algorithm,Real-time computing,Interference (wave propagation),System model,Bit error rate
Conference
1550-3607
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Liu Yujie112224.79
Xu Zhu237147.63
Eng Gee Lim32220.78
Yufei Jiang43222.37
Yi Huang512611.59