Linear Estimation and Detection in Krylov Subspaces

  • Guido K.E. Dietl

Part of the Foundations in Signal Processing, Communications and Networking book series (SIGNAL, volume 1)

Table of contents

  1. Front Matter
    Pages I-XIX
  2. Introduction

    1. Front Matter
      Pages 1-10
    2. Guido K.E. Dietl
      Pages 1-10
  3. Theory: Linear Estimation in Krylov Subspaces

    1. Front Matter
      Pages 11-11
    2. Guido K.E. Dietl
      Pages 13-31
    3. Guido K.E. Dietl
      Pages 33-69
  4. Application: Iterative Multiuser Detection

    1. Front Matter
      Pages 111-111
    2. Guido K.E. Dietl
      Pages 113-139
    3. Guido K.E. Dietl
      Pages 141-173
    4. Guido K.E. Dietl
      Pages 175-176
  5. Back Matter
    Pages 177-232

About this book

Introduction

This book focuses on the foundations of linear estimation theory which is essential for effective signal processing. In its first part, it gives a comprehensive overview of several key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Based on the derivation of the multistage Wiener filter in its most general form, the relationship between statistical signal processing and numerical mathematics is presented.
In the second part, the theory is applied to iterative multiuser detection receivers (Turbo equalization) which are typically desired in wireless communication systems.

The investigations include

-exact computational complexity considerations and

- performance analysis based on extrinsic information transfer charts as well as Monte-Carlo simulations.

Keywords

Monte-Carlo Simulation Signal communication complexity information model simulation

Authors and affiliations

  • Guido K.E. Dietl
    • 1
  1. 1.MunichGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-68479-4
  • Copyright Information Springer-Verlag 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-68478-7
  • Online ISBN 978-3-540-68479-4
  • Series Print ISSN 1863-8538
  • About this book