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4 - Real-time spectrum analysis and time-correlated measurements applied to nonlinear system characterization

from Part II - Microwave instrumentation

Published online by Cambridge University Press:  05 June 2013

Marcus Da Silva
Affiliation:
Tektronix Inc.
Valeria Teppati
Affiliation:
Swiss Federal University (ETH), Zürich
Andrea Ferrero
Affiliation:
Politecnico di Torino
Mohamed Sayed
Affiliation:
Microwave and Millimeter Wave Solutions, Santa Rosa
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Summary

Nonlinear performance characterization and measurements have become an important consideration for today's modern technologies as digital clock rates increase and wireless communication systems attempt to keep up with the dynamic delivery of voice, video, and data over a finite wireless spectrum. Transient anomalies caused by the interaction of various digital and analog signals within a system, nonlinear behavior and device memory effects, can all degrade system performance, causing EMI/EMC regulatory violations, lost calls, packet errors, and system inefficiency.

This chapter explores the techniques used in real-time spectrum and signal analysis and presents applications where real-time technologies can be applied to offer a modern approach to the detection, discovery, and analysis of transient behavior, including those caused by nonlinear memory effects and interactions between the digital and analog parts of modern embedded systems.

Introduction

The class of instruments called spectrum analyzers has evolved with the uses of the electromagnetic spectrum and with the available technology. Early instruments, then called Wave Analyzers, were manually tuned receivers that measured the signal level at the frequency to which they were tuned. The addition of sweep tuning and a CRT enabled a two-dimensional display of amplitude versus frequency and engendered the Swept Tuned Spectrum Analyzer (SA). The advent of digital modulation techniques and the availability of precision Analog-to-Digital Converters (ADCs), coupled with enough computing power for Digital Signal Processing (DSP), brought forth the Vector Signal Analyzer (VSA).

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Chapter
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Publisher: Cambridge University Press
Print publication year: 2013

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References

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