Планы семинарских занятий по курсу "Актуальные проблемы конституционного права"для магистрантов 1-24 81 02 Правовое обеспечение публичной власти

This article presents the modeling of a microwave Power Amplifier (PA)in the almost linear and compression operation modes. An in-band quasi-white noise real-valued signal is used as input for the identification process to excite every possible source of nonlinearity. A segment of the input-out put measurement data is processed to generate an initial Parallel Cascade Wiener Model (PCWM).The model is cross-validated with the entire measurement signal. The first order Volterra kernel is extracted in order to obtain an estimation of the amplifier’s memory. A new model is generated and its Volterra kernels up to the second order are estimated to apply the Structural Classification Methods(SCM). The result of this process is a suitable block-structure for the final amplifier model. The optimized model is intended to be numerically robust having a high identification percentage based on a variance figure of merit. This resulting model can be used for simulation of linearization systems or even in further identification processes

Validation and Comparison of PA models

This chapter deals with PA model validation and comparison. In general PAs are complex dynamic systems that combine both short- and long-term memory effects with nonlinear phenomena. In contrast with linear systems with memory, where superposition holds and so any test signal can be used, or nonlinear systems with linear memory, where memory effects can be separately characterized and de-embedded to obtain a simple algebraic descriptive function, nonlinear dynamical systems must be \u2018locally\u2019 modeled and validated. Therefore, test signals and model comparison criteria must be carefully chosen to suit a particular set of typical operating conditions

Developments in Predistortion and Feedforward Adaptive Power Amplifier Linearisers

Key issues in predistortion and feedforward linearisation solutions for future complex PA systems destined for a wide range of evolving advanced wireless systems are reviewed in this paper. In particular, digital techniques and adaptive schemes are discussed