Detection algorithms for wireless communications

Detection algorithms for wireless communications

4.11 - 1251 ratings - Source

Wireless communications will play a major role in future communication systems. In fact, the need of wireless access to the Internet will become increasingly important, and novel network communication paradigms, such as ad-hoc wireless networks or integrated mobile/satellite systems, will be developed in the near future. Detection algorithms will play an important role in the design of efficient wireless communication systems as it will be mandatory to adhere to specific constraints in terms of power consumption and detection speed.Provides a unified approach to statistical detection for stochastic channels, with particular emphasis on wireless communicationsShows how algorithms for trellis-based sequence detection can be systematically extended to trellis-based and graph-based symbol detection algorithms and vice-versaContains numerous examples of applications with an extended set of numerical results relative to the algorithms' performanceDescribes per-survivor processing, a key concept used to implement adaptive detection techniquesPresents a detailed description of graph-based detectionFeatures problems at the end of each chapter * Includes a companion website featuring a solutions manual, electronic versions of the figures and a sample chapter * By featuring detection algorithms which can be applied to wireless communications, as well as wired and storage systems such as those relative to transmissions over inter-symbol interference channels, this book will have far reaching appeal. Researchers and practitioners working in wireless and storage system design, both in academia and in industry, will all find it extremely useful.... to derive efficient iterative detection and decoding algorithms. ... algorithms will be applied to a DVB-S2-compliant model provided by the European Space Agency (ESA) and described in [223, 224]. ... 10~n Hl(z) = JZT(z- 0.999975)2 (538 ) 1 2.8 - 10~6(z - 0.992015)(z - 1.103181) ~ v/2T(~- 0.991725)(z- 0.9999985)(^- 0.563507) ( a#39; where T is the symbol interval. ... We will denote the multivariate complex circularly symmetric (real) Gaussian pdf with mean m, covariance matrix E andanbsp;...

Title:Detection algorithms for wireless communications
Author: Gianluigi Ferrari, Giulio Colavolpe, Riccardo Raheli
Publisher:John Wiley & Sons Inc - 2004-09-27

You must register with us as either a Registered User before you can Download this Book. You'll be greeted by a simple sign-up page.

Once you have finished the sign-up process, you will be redirected to your download Book page.

How it works:
  • 1. Register a free 1 month Trial Account.
  • 2. Download as many books as you like (Personal use)
  • 3. Cancel the membership at any time if not satisfied.

Click button below to register and download Ebook
Privacy Policy | Contact | DMCA