This paper represents a neural network based joint mitigation of the IQ imbalance and power amplifier nonlinearities that cause degradation in the transmit signal quality of the wireless communication systems. A Real Valued Time Delay Neural Network architecture for this purpose has been verified on a hardware including cascaded NXP-MD8IC925 and NXPBLF8G10LS power amplifier components performing a total of 46dB gain. The test setup has been controlled over MATLAB in order to have a closed loop adaptive digital predistortion. The test results showed approximately 24dB, 19dB and 14dB performance improvements for the in-band, first and second adjacent channels, respectively
Abstract- In order to correct non-linearities due to High Power Amplifiers (HPA) operating near satu...
This paper is focused on the linearization of the radio frequency power amplifier of a professional ...
Non-linearity of wireless transceivers, specifically power amplifier (PA) non-linearity, could pose ...
In this article, a real valued time delay neural networks (RVTDNN) based power amplifier predistorte...
This paper presents an FPGA implementation of the Real Valued Time Delay Neural Network (RVTDNN) bas...
Abstract—In order to correct non-linearities due to High Power Amplifiers (HPA) operating near satur...
neural networks (NNs) for multiple hardware impairments mitigation of a realistic direct conversion ...
In order to correct non-linearities due to High Power Amplifiers (HPA) operating near saturation in ...
International audienceIn order to correct non-linearities due to High Power Amplifiers (HPA) operati...
Fifth-generation telecommunications networks are expected to have technical requirements which far o...
Tracking the nonlinear behavior of an RF power amplifier (PA) is challenging. To tackle this problem...
This work introduces joint power amplifier (PA) and I/Q modulator modelling and compensation for Lon...
This paper presents a time-delayed neural network (TDNN) model that has the capability of learning a...
This paper presents a new adaptive pre-distortion (PD) technique, based on neural networks (NN) with...
Digital predistortion is the process of using digital signal processing to correct nonlinearities ca...
Abstract- In order to correct non-linearities due to High Power Amplifiers (HPA) operating near satu...
This paper is focused on the linearization of the radio frequency power amplifier of a professional ...
Non-linearity of wireless transceivers, specifically power amplifier (PA) non-linearity, could pose ...
In this article, a real valued time delay neural networks (RVTDNN) based power amplifier predistorte...
This paper presents an FPGA implementation of the Real Valued Time Delay Neural Network (RVTDNN) bas...
Abstract—In order to correct non-linearities due to High Power Amplifiers (HPA) operating near satur...
neural networks (NNs) for multiple hardware impairments mitigation of a realistic direct conversion ...
In order to correct non-linearities due to High Power Amplifiers (HPA) operating near saturation in ...
International audienceIn order to correct non-linearities due to High Power Amplifiers (HPA) operati...
Fifth-generation telecommunications networks are expected to have technical requirements which far o...
Tracking the nonlinear behavior of an RF power amplifier (PA) is challenging. To tackle this problem...
This work introduces joint power amplifier (PA) and I/Q modulator modelling and compensation for Lon...
This paper presents a time-delayed neural network (TDNN) model that has the capability of learning a...
This paper presents a new adaptive pre-distortion (PD) technique, based on neural networks (NN) with...
Digital predistortion is the process of using digital signal processing to correct nonlinearities ca...
Abstract- In order to correct non-linearities due to High Power Amplifiers (HPA) operating near satu...
This paper is focused on the linearization of the radio frequency power amplifier of a professional ...
Non-linearity of wireless transceivers, specifically power amplifier (PA) non-linearity, could pose ...