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Nonlinear Distortion in Wireless Systems: Modeling and by Khaled M. Gharaibeh

Posted On March 23, 2017 at 9:15 pm by / Comments Off on Nonlinear Distortion in Wireless Systems: Modeling and by Khaled M. Gharaibeh

By Khaled M. Gharaibeh

This publication covers the foundations of modeling and simulation of nonlinear distortion in instant communique platforms with MATLAB simulations and techniques

In this ebook, the writer describes the rules of modeling and simulation of nonlinear distortion in unmarried and multichannel instant communique structures utilizing either deterministic and stochastic signs. types and simulation tools of nonlinear amplifiers clarify intimately tips to research and review the functionality of information verbal exchange hyperlinks lower than nonlinear amplification. The ebook addresses the research of nonlinear structures with stochastic inputs and establishes the functionality metrics of communique platforms with reference to nonlinearity. additionally, the writer additionally discusses the matter of the way to embed types of distortion in system-level simulators corresponding to MATLAB and MATLAB Simulink and gives useful suggestions that pros can use on their lonesome initiatives. ultimately, the booklet explores simulation and programming matters and gives a entire reference of simulation instruments for nonlinearity in instant verbal exchange systems.

Key Features:

  • Covers the speculation, types and simulation instruments wanted for knowing nonlinearity and nonlinear distortion in instant systems
  • Presents simulation and modeling strategies for nonlinear distortion in instant channels utilizing MATLAB
  • Uses random strategy conception to increase simulation instruments for predicting nonlinear approach functionality with real-world instant conversation signals
  • Focuses on simulation examples of real-world conversation structures less than nonlinearity
  • Includes an accompanying web site containing MATLAB code

This e-book can be a useful reference for researchers, RF engineers, and verbal exchange process engineers operating within the box. Graduate scholars and professors venture comparable classes also will locate the ebook of interest.

Chapter 1 creation (pages 1–20):
Chapter 2 instant conversation platforms, criteria and sign versions (pages 21–57):
Chapter three Modeling of Nonlinear structures (pages 59–81):
Chapter four Nonlinear Transformation of Deterministic signs (pages 83–111):
Chapter five Nonlinear Transformation of Random signs (pages 113–129):
Chapter 6 Nonlinear Distortion (pages 131–155):
Chapter 7 Nonlinear process Figures of benefit (pages 157–173):
Chapter eight communique procedure versions and Simulation in MATLAB® (pages 175–220):
Chapter nine Simulation of Nonlinear structures in MATLAB® (pages 221–278):
Chapter 10 Simulation of Nonlinear platforms in Simulink® (pages 279–306):

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Sample text

The first is the effect of DC offset voltages that can corrupt the received signal and saturate the following stage of the receiver. These DC offset voltages result mainly from the second order intermodulation products in the mixer that lie at DC and have a time varying nature. Another disadvantage is the I–Q mismatch, when the zero-IF receiver is used with quadrature modulation, which degrades the received signal constellation, resulting in higher system error rates (Chabrak, 2006; Razavi, 1998).

Another classification of wireless transmitters is done according to nonlinearities included in their design. Nonlinearity is mainly related to the PA that is used to produce high-power signals suitable for transmission on an antenna (Cylan, 2005; Razavi, 1998). The choice of the transmitter architecture depends on many factors, among which circuit complexity, linearity and power efficiency are the most important. Circuit complexity is related to the modulation and up conversion process where baseband signals are converted to passband signals via frequency mixing process.

A simulator is then used to evaluate the selected algorithm and to provide insight into which parameters of the algorithm need to be adapted in order to achieve the predefined performance criteria. On the other hand, a simulator provides insight on the mechanics of the proposed algorithm where its behavior is studied over the evolution of time. This process is repeated until an optimal algorithm that meets all the system specifications is reached. In communication system design these algorithms mainly aim at transmitting data from the signal source at point A to a sink at point B.

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