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- W4360996675 abstract "This paper proposes a channel estimation method based on discrete prolate spheroidal base extension model (DPS-BEM) for 5G integrated low earth orbit (LEO) satellite systems, which takes the cascade structure of least square (LS) estimator and Kalman filter as the core. Firstly, DPS-BEM is utilized to accurately fit the time-domain channel state matrix. The preliminary estimation coefficients of the basis function could be acquired by a simple and easy implemented LS estimator. Subsequently, the Kalman filtering is cascaded to attenuate the influence of noise, so that the error of the LS estimator can be substantially diminished. Simulation results show that the proposed method has higher precision and robustness compared with the existing common methods." @default.
- W4360996675 created "2023-03-30" @default.
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- W4360996675 date "2022-11-11" @default.
- W4360996675 modified "2023-10-16" @default.
- W4360996675 title "BEM Based Fast Time-varying Channel Estimation Method for 5G Integrated Satellite Systems" @default.
- W4360996675 doi "https://doi.org/10.1109/icct56141.2022.10073305" @default.
- W4360996675 hasPublicationYear "2022" @default.
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