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This paper proposes a Nonlinear Distortion Cancellation (NDC) scheme of the nonlinearity HPA (High Power Amplifier) in the V-BLAST MIMO MC-CDMA (Vertical Bell Laboratories Layered Space-Time Multiple-Input Multiple-Output Multi-Carrier Code Division Multiplexing Access) systems over Rayleigh fading channel. The compensation of the nonlinearities effects in the different transmitter branches is applied...
This paper presents a compensating method based on Neural Network (NN) of Non-Linear (NL) distortion, which caused by High Power Amplifier (HPA) in Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO OFDM) systems. In this work, we present and we evaluate with simulation, the effect of nonlinearity on the system capacity and the performance of NN compensator accompanied...
This paper presents a compensating method based on Neural Network (NN) of Non-Linear (NL) distortion, which caused by High Power Amplifier (HPA) in Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO OFDM) systems. In this work, we present and we evaluate with simulation, the effect of nonlinearity on the system capacity and the performance of NN compensator in frequency...
We propose a Non-Linear (NL) distortion compensator based on Neural Network (NN) accompanied with MMSE (Minimum Mean Square Error) which corrects the nonlinearity introduced by HPA (High Power Amplifier). The neural network consists on a feed-forward Multi-Layer Perceptron (MLP) associated with Levenberg-Marquardt learning algorithm. In this paper, the correction is done at the transmitter after HPA...
In this paper, we present a method based on Neural Network (NN) technique and accompanied with MMSE (Minimum Mean Square Error), which corrects at the receiver level, the Non-Linear (NL) distortions due to the HPA (High Power Amplifier). The neural network consists on a feed-forward Multi-Layer Perceptron (MLP) associated with Levenberg-Marquardt learning algorithm. The results show that the neural...
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