Robust Signal Processing for Wireless Communications
This book treats the robust design of signal processing algorithms for wireless communications which are based on an incomplete model of the propagation channel. The systematic treatment of this practical problem focuses on signal processing tasks in the
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Foundations in Signal Processing, Communications and Networking Series Editors: W. Utschick, H. Boche, R. Mathar Vol. 1. Dietl, G. K. E. Linear Estimation and Detection in Krylov Subspaces, 2007 ISBN 978-3-540-68478-7 Vol. 2. Dietrich, F. A. Robust Signal Processing for Wireless Communications, 2008 ISBN 978-3-540-74246-3
Frank A. Dietrich
Robust Signal Processing for Wireless Communications
With 88 Figures and 5 Tables
123
Series Editors: Wolfgang Utschick TU Munich Associate Institute for Signal Processing Arcisstrasse 21 80290 Munich, Germany
Holger Boche TU Berlin Dept. of Telecommunication Systems Heinrich-Hertz-Chair for Mobile Communications Einsteinufer 25 10587 Berlin, Germany
Rudolf Mathar RWTH Aachen University Institute of Theoretical Information Technology 52056 Aachen, Germany Author: Frank A. Dietrich TU Munich Associate Institute for Signal Processing Arcisstrasse 21 80290 Munich, Germany E-mail: [email protected]
ISBN 978-3-540-74246-3
e-ISBN 978-3-540-74249-4
DOI 10.1007/978-3-540-74249-4 Springer Series in Foundations in Signal Processing, Communications and Networking ISSN 1863-8538 Library of Congress Control Number: 2007937523 © 2008 Springer-Verlag Berlin Heidelberg This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable for prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Cover design: eStudioCalamar S.L., F. Steinen-Broo, Girona, Spain Printed on acid-free paper 987654321 springer.com
To my family
Preface
Optimization of adaptive signal processing algorithms is based on a mathematical description of the signals and the underlying system. In practice, the structure and parameters of this model are not known perfectly. For example, this is due to a simplified model of reduced complexity (at the price of its accuracy) or significant estimation errors in the model parameters. The design of robust signal processing algorithms takes into account the parameter errors and model uncertainties. Therefore, its robust optimization has to be based on an explicit description of the uncertainties and the errors in the system’s model and parameters. It is shown in this book how robust optimization techniques and estimation theory can be applied to optimize robust signal processing algorithms for representative applications in wireless communications. It inclu
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