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Science/Engineering Baseband Analog Circuits for Software Defined Radio

Posted on 2010-03-15




Name:Science/Engineering Baseband Analog Circuits for Software Defined Radio
ASIN/ISBN:140206537X
Language:English
File size:3 Mb
Publisher: Springer
Pages: 142
Publish Date: 2008-01-11
ISBN: 140206537X
File Type: PDF
File Size: 3 MB
   Science/Engineering Baseband Analog Circuits for Software Defined Radio

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Baseband Analog Circuits for Software Defined Radio

By the end of this decade, a 4G wireless terminal will be available that provides high quality multimedia, personalized services, and ubiquitous multi-standard broadband connectivity with a reasonable power consumption. In this context, a multi-band transceiver is needed that provides a high-level of programmability while keeping low design complexity and costs. Software Defined Radio (SDR) is the most promising technology to implement such a terminal as it enables multi-mode reception by tuning to any frequency band, by selecting any channel bandwidth, and by detecting any modulation.

Baseband Analog Circuits for Software Defined Radio aims to describe the transition towards a Software Radio from the analog design perspective. As the original idea of a "full-digital" Software Radio is far from the state-of-art, an analog front-end is still needed to achieve a feasible implementation. Most of the existent front-end architectures are explored from the flexibility point of view. A complete overview of the actual state-of-art for reconfigurable transceivers is given in detail, focusing on the challenges imposed by flexibility in analog design.

As far as the design of adaptive analog circuits is concerned, specifications like bandwidth, gain, noise, resolution and linearity should be programmable. The development of circuit topologies and architectures that can be easily reconfigured while providing a near optimal power/performance trade-offs is a key challenge. In this book, we tackle this challenge mainly for baseband analog circuits, i.e. amplifiers and filters, proposing efficient solutions that provide a high level of programmability. Measurements results validate the design strategies.

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