Introduction to Wireless Digital Communication: A Signal Processing Perspective PDF (Adobe DRM) download by Robert W. Jr. Heath

Introduction to Wireless Digital Communication: A Signal Processing Perspective

Prentice Hall
Publication date: April 2017
ISBN: 9780134430447
Digital Book format: PDF (Adobe DRM)


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The Accessible Guide to Modern Wireless Communication for Undergraduates and Practicing Electrical Engineers

Developed and proven as part of a special laboratory course at the University of Texas, this unique text makes wireless communication accessible both to undergraduates and to practicing electrical engineers who haven’t specialized in communications. Using this text, instructors can teach wireless technologies without other analog or digital communication prerequisites.

Introduction to Wireless Digital Communication goes beyond broad survey coverage, while assuming the right mathematical depth for undergraduates and building on the foundational DSP knowledge most already have. Robert Heath’s “less is more” approach focuses on realistic example cases, rather than demonstrating solutions to every possible problem.

Heath provides a solid foundation in the mathematical tools needed to understand wireless digital communication. He presents digital communication fundamentals from a signal processing perspective, focusing on the complex pulse amplitude modulation approach used in most commercial wireless systems. He describes specific receiver algorithms for implementing wireless communication links, including synchronization, carrier frequency offset estimation, channel estimation, and equalization. While most concepts are presented for systems with single transmit and receive antennae, Heath concludes by extending those concepts to contemporary MIMO systems.

To promote learning, each chapter includes previews, bullet-point summaries, examples, and numerous homework problems to help readers test their knowledge.

  • Basics of wireless communication: applications, history, and the central role of signal processing
  • Digital communication essentials: components, channels, distortion, coding/decoding, encryption, and modulation/demodulation
  • Signal processing: notation, linear time invariant systems, probability/random processes, Fourier transforms, derivation of complex baseband signal representation and equivalent channels, and multi-rate signal processing
  • Least-squared estimation techniques that build on the linear algebra typically taught to electrical engineering undergraduates
  • Complex pulse amplitude modulation: symbol mapping, constellations, signal bandwidth, and noise
  • Impairments, including synchronization, frequency selectivity, and distortion
  • Linear equalization and other mitigation strategies
  • MIMO techniques using multiple transmit and/or receive antennas, including SIMO, MISO, and MIMO-OFDM
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