Complex support vector machines regression for robust channel estimation in LTE downlink system

10 Dec 2014Anis CharradaAbdelaziz Samet

In this paper, the problem of channel estimation for LTE Downlink system in the environment of high mobility presenting non-Gaussian impulse noise interfering with reference signals is faced. The estimation of the frequency selective time varying multipath fading channel is performed by using a channel estimator based on a nonlinear complex Support Vector Machine Regression (SVR) which is applied to Long Term Evolution (LTE) downlink... (read more)

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