2020
DOI: 10.1109/access.2020.3037312
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Adaptive EKF Based Estimation Method for Phase Noise in CO-OFDM/OQAM System

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Cited by 9 publications
(3 citation statements)
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“…A simple phase noise (PN) model has been proposed by [24], based on the channel effect of OFDM/OQAM and the distribution feature of intrinsic interference. An adaptive extended Kalman filter (AEKF) blind scheme has been developed based on the theory of the Kalman filter and the PN model to achieve flexibility in dynamic networks.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…A simple phase noise (PN) model has been proposed by [24], based on the channel effect of OFDM/OQAM and the distribution feature of intrinsic interference. An adaptive extended Kalman filter (AEKF) blind scheme has been developed based on the theory of the Kalman filter and the PN model to achieve flexibility in dynamic networks.…”
Section: Literature Reviewmentioning
confidence: 99%
“…To fit the histogram of the network gains to a certain probability density function (PDF), such as lognormal, Nakagami, Rayleigh, Weibull, etc., statistical modelling for the dynamic WBAN channels must take this into account. AIC denotes the Akaike Information Criterion which is expressed in equation (24) as…”
Section: Channel Model Of Co-ofdmmentioning
confidence: 99%
“…The suggested channel estimation approach provides superior performance to other traditional channel estimation methods and it is effective, which is evaluated based on the simulation findings. A more straightforward PN model for OQAM/OFDM under channel influence is derived by Wang et al [19] by the intrinsic interference-based distribution feature. A feedback loop-based search called modified blind phase has a commercial laser linewidth of 200 kHz time complexity, which is just a third as wide.…”
Section: Introductionmentioning
confidence: 99%