文件名称:NEURAL-NETWORK-COMPENSATOR
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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).-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 feedforward
Multi-Layer Perceptron (MLP) associated with
Levenberg-Marquardt learning algorithm. The results show
that the neural network compensator brings perceptible in a
complete VBLAST MIMO OFDM (Vertical Bell Laboratories
Layered Space-Time Multiple-Input Multiple-Output
Orthogonal Frequency Division Multiplexing) system running
under a Rayleigh fading channel.
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).-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 feedforward
Multi-Layer Perceptron (MLP) associated with
Levenberg-Marquardt learning algorithm. The results show
that the neural network compensator brings perceptible in a
complete VBLAST MIMO OFDM (Vertical Bell Laboratories
Layered Space-Time Multiple-Input Multiple-Output
Orthogonal Frequency Division Multiplexing) system running
under a Rayleigh fading channel.
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NEURAL NETWORK COMPENSATOR BASED MMSE RECEIVER FOR HPA.pdf