RF Analog Impairments Modeling for Communication Systems Simulation: Application to OFDM-based Transceivers

RF Analog Impairments Modeling for Communication Systems Simulation: Application to OFDM-based Transceivers

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<p>With the growing complexity of personal mobile communication systems demanding higher data-rates and high levels of integration using low-cost CMOS technology, overall system performance has become more sensitive to RF analog front-end impairments. Designing integrated transceivers requires a thorough understanding of the whole transceiver chain including RF analog front-end and digital baseband. Communication system engineers have to include RF analog imperfections in their simulation benches in order to study and quantify their impact on the system performance.</p> <p>Here the author explores key RF analog impairments in a transceiver and demonstrates how to model their impact from a communication system design view-point. He discusses the design aspects of the front end of transceivers (both receivers and transmitters) and provides the reader with a way to optimize a complex mixed-signal platform by taking into account the characteristics of the RF/analog front-end.</p> <p>Key features of this book include:</p> <ul> <li>Practical examples illustrated by system simulation results based on WiFi and mobile WiMAX OFDM transceivers</li> <li>An overview of the digital estimation and compensation of the RF analog impairments such as power amplifier distortion, quadrature imbalance, and carrier and sampling frequency offsets</li> <li>An exposition of the challenges involved in the design of both RF analog circuits and DSP communication circuits in deep submicron CMOS technology</li> <li>MATLAB® codes for RF analog impairments models  hosted on the companion website</li> </ul> <p>Uniquely the book bridges the gap between RFIC design specification needs and communication systems simulation, offering readers RF analog impairments modeling knowledge and a comprehensive approach to unifying theory and practice in system modelling. It is of great value to communication systems and DSP engineers and graduate students who design communication processing engines, RF/analog systems and IC design engineers involved in the design of communication platforms.</p>