CCFLNN Full Form - What is Full Form of CCFLNN?

CCFLNN is full form Complex-Chebyshev Functional Link Neural Network    

What is Complex-Chebyshev Functional Link Neural Network?

The Neural Network (NN) based models are commonly used in power amplifier modeling and predistorter design, and seen as a potential alternative to model and compensate broadband power amplifiers (PAs) having medium- to-strong memory effects along with high-order nonlinearity. In this paper, we propose a novel computationally efficient behavior model based on complex-Chebyshev functional link neural network (CCFLNN) suitable for dynamic modeling of wireless PAs. The CCFLNN exhibits a simpler compact structure than the previously reported NNs and can require less computational burden during the learning process since it uses the complex-valued topology and does not need the hidden layers, which exist in most of the conventional neural-network-based models. The proposed approach utilizes the complex-valued inverse QR-decomposition-based recursive least square algorithm to update the weighting coefficients of the CCFLNN model. The proposed model is comparatively compared with a real-valued focused time-delay NN model and a conventional memory polynomial model with respect to computation complexities and modeling performance. The accurate modeling capacity of the CCFLNN model is demonstrated through a full characteristic (working in the strongly nonlinear region) 170-W class AB amplifier driven by a multicarrier WCDMA signal. Furthermore, the proposed model has been applied for linearizing a real PA in multicarrier application. Results obtained from the measurement clearly show that the proposed digital predistorter can eliminate various intensity in-band and out-of band distortions.