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Linearization of power amplifiers in communication
systems is an eternal and challenging topic. This
topic has recently attracted particular attention
due to the widespread use of non-constant envelope
modulation schemes which require highly linear and
very low distortion power amplifiers. The work in
this book is dedicated to solve the linearity
problem faced by millimeter-wave power amplifiers,
which is lack of effective solutions in this field.
An amplifier-based linearization design method was
proposed firstly. Two amplifier-based predistortion
circuits have been investigated. One uses a fixed
bias and the other utilizes a nonlinear signal-
dependent bias. One major contribution in this book
is the proposal of an original predistortion circuit
design methodology derived from frequency to signal
amplitude transformation by transforming RLC
circuits with predetermined transfer functions. All
these linearization methods have been demonstrated
through simulations in GaAs pHEMT to offer better
performances than existing predistortion methods and
have a broad prospect for applications.
systems is an eternal and challenging topic. This
topic has recently attracted particular attention
due to the widespread use of non-constant envelope
modulation schemes which require highly linear and
very low distortion power amplifiers. The work in
this book is dedicated to solve the linearity
problem faced by millimeter-wave power amplifiers,
which is lack of effective solutions in this field.
An amplifier-based linearization design method was
proposed firstly. Two amplifier-based predistortion
circuits have been investigated. One uses a fixed
bias and the other utilizes a nonlinear signal-
dependent bias. One major contribution in this book
is the proposal of an original predistortion circuit
design methodology derived from frequency to signal
amplitude transformation by transforming RLC
circuits with predetermined transfer functions. All
these linearization methods have been demonstrated
through simulations in GaAs pHEMT to offer better
performances than existing predistortion methods and
have a broad prospect for applications.