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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...
Predistortion of parallel wiener-type systems is considered in this paper. The predistorter is first modeled as a Volterra series. In order to reduce computation complexity, a simplified predistorter model constructed using adaptive FIR filters is proposed. The coefficients of these two suggested predistorters are estimated using the nonlinear filtered-x least mean squares (NFtimesLMS) algorithm based...
Mixed-signal systems combine analog and digital signal processing in one overall design that should be integrated as a single system on chip. At system level, the separation into isolated subsystem representations for analog and digital parts needs to be overcome by a unified formalism that can handle any mix of continuous-time, discrete-time, and hybrid systems. A second driving force in our contribution...
Distortion compensation of nonlinear systems is an important topic in many practical applications. This paper concerns with linearization of nonlinear systems which can be modeled using Volterra series by connecting two adaptive nonlinear Volterra filters. The first one is a training filter connected in parallel with the nonlinear system and its kernels are estimated recursively. The second adaptive...
RF power amplifiers (PA) of wireless communication systems are usually driven in their nonlinear region to obtain a higher efficiency. The price paid for the increased efficiency is the distortion of the transmission signal. To fulfill a given spectral mask for the transmission signal and to avoid an unacceptable high bit-error rate on the receiver side, the amplifier must be linearized. If wideband...
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