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Stochastic characterization and mathematical analysis of feedforward linearizers
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index.pdf
Date
2003
Author
Coşkun, Arslan Hakan
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Feedforward is known to be one of the best methods for power amplifier linearization due to its superior linearization performance and broadband stable operation. However feedforward systems have relatively poor power efficiency and are complicated due to the presence of two nonlinear amplifiers and the requirements of amplitude, phase and delay matching within two different loops. In this thesis stochastic characterization of a simple feedforward system with autocorrelation analysis has been presented for Code Division Multiple Access (CDMA) applications taking the amplitude and delay mismatches into consideration. It has been assumed that, the input signal can be represented as Gaussian noise, main and error amplifiers can be modeled with third order AM/AM nonlinearities and there exists no phase mismatch within the loops. Hence closed form expressions, which relate the main channel and distorted adjacent channel power at any point in the feedforward circuitry to the system parameters, have been obtained. Consequently, a mathematical handy tool is achieved towards specifying the circuit parameters rapidly for optimum linearity performance and efficiency. The developed analytical model has been verified by Radio Frequency (RF) and system simulations. An alternative approach towards modeling feedforward systems for arbitrary signals has also been brought into consideration and has been verified with system simulations.
Subject Keywords
Neural networks (Computer science)
,
Mathematical analysis
,
Stochastic analysis
URI
http://etd.lib.metu.edu.tr/upload/626721/index.pdf
https://hdl.handle.net/11511/13916
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Graduate School of Natural and Applied Sciences, Thesis
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A. H. Coşkun, “Stochastic characterization and mathematical analysis of feedforward linearizers,” Ph.D. - Doctoral Program, Middle East Technical University, 2003.
