Nonlinear Estimation for Ultra-Wideband Radar Based on Bayesian Particle Filtering Detector
In order to combat the nonlinearity of the radio component in UWB radar systems, in this paper we present a promising blind estimation algorithm based on the particle filtering (PF). Based on the conception of Bayesian approximation and sequential importa
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Qilian Liang • Wei Wang • Jiasong Mu Jing Liang • Baoju Zhang • Yiming Pi Chenglin Zhao Editors
Communications, Signal Processing, and Systems The 2012 Proceedings of the International Conference on Communications, Signal Processing, and Systems
Editors Qilian Liang University of Texas at Arlington Arlington, Texas USA
Wei Wang College of Physical and Electronic Information Tianjin Normal University Tianjin, China
Jiasong Mu College of Physical and Electronic Information Tianjin Normal University Tianjin, China
Jing Liang School of Electronic Engineering University of Electronic Science and Technology Chengdu, Sichuan China
Baoju Zhang College of Physical and Electronic Information Tianjin Normal University Tianjin, China
Yiming Pi School of Electronic Engineering University of Electronic Science and Technology of China Chengdu, China
Chenglin Zhao School of Information and Communication Engineering Beijing University of Posts and Telecommunications Bejing, China ISSN 1876-1100 ISSN 1876-1119 (electronic) ISBN 978-1-4614-5802-9 ISBN 978-1-4614-5803-6 (eBook) DOI 10.1007/978-1-4614-5803-6 Springer New York Heidelberg Dordrecht London Library of Congress Control Number: 2012951651 # Springer Science+Business Media New York 2012 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free p
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