Introduction to Wireless Digital Communication – eBook

Introduction to Wireless Digital Communication establishes the principles of communication, from a digital signal processing perspective, including key mathematical background, channel models, receiver and transmitter signal processing algorithms, and generalizations to multiple antennas. Robert Heath’s “less is more” approach focuses on typical solutions to common problems in wireless engineering.

Wireless communication is a critical discipline of computer science and electrical engineering, yet the concepts have remained elusive for most students who are not specialists in the area. This etextbook makes digital communication and receiver algorithms for wireless communication broadly accessible to graduates, undergraduates, and practicing electrical engineers. Notably, the ePub/PDF ebook builds on a signal processing foundation and does not require prior courses on analog or digital communication.

Heath 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, channel estimation, carrier frequency offset estimation, and equalization. While most concepts are presented for systems with single transmit and receive antennas, 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: history, applications, and the central role of signal processing
• Digital communication essentials: components, distortion, coding/decoding, channels, encryption, and modulation/demodulation
• Synchronization, including symbol, frame, and carrier frequency offset
• Signal processing: linear time invariant systems, Fourier transforms, probability/random processes, 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
• Frequency selective channel estimation and equalization
• MIMO techniques using multiple transmit and/or receive antennas, including MISO, SIMO, and MIMO-OFDM
• Complex pulse amplitude modulation: symbol mapping, signal bandwidth, constellations, and noise