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Digital compensation of nonlinear systems is an important topic in many practical applications. This paper considers the problem of predistortion of nonlinear systems described using Volterra series by connecting in tandem an adaptive Volterra predistorter. The suggested direct learning architecture (DLA) approach utilizes the spectral magnitude matching (SMM) method that minimizes the sum squared...
This paper considers the problem of predistortion of nonlinear systems which are described using IIR Hammerstein models by connecting two adaptive IIR Wiener systems. The first adaptive Wiener system is a training filter connected in parallel with the nonlinear system and its coefficients are estimated recursively using the Recursive Prediction Error Method (RPEM) algorithm. The second adaptive Wiener...
Adaptive predistortion of nonlinear systems described using IIR Hammerstein models is introduced in this paper. The adaptive predistorter is modeled as an IIR Wiener system. The parameters of the linear and nonlinear blocks of the predistorter are estimated simultaneously using the nonlinear filtered-x least mean squares (NFxLMS) algorithm. The NFxLMS algorithm is derived under the assumption that...
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