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Book Adaptive Estimation and Detection Techniques with Applications

Download or read book Adaptive Estimation and Detection Techniques with Applications written by Jifeng Ru and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid systems have been identified as one of the main directions in control theory and attracted increasing attention in recent years due to their huge diversity of engineering applications. Multiple-model (MM) estimation is the state-of-the-art approach to many hybrid estimation problems. Existing MM methods with fixed structure usually perform well for problems that can be handled by a small set of models. However, their performance is limited when the required number of models to achieve a satisfactory accuracy is large due to time evolution of the true mode over a large continuous space. In this research, variable-structure multiple model (VSMM) estimation was investigated, further developed and evaluated. A fundamental solution for on-line adaptation of model sets was developed as well as several VSMM algorithms. These algorithms have been successfully applied to the fields of fault detection and identification as well as target tracking in this thesis. In particular, an integrated framework to detect, identify and estimate failures is developed based on the VSMM. It can handle sequential failures and multiple failures by sensors or actuators. Fault detection and target maneuver detection can be formulated as change-point detection problems in statistics. It is of great importance to have the quickest detection of such mode changes in a hybrid system. Traditional maneuver detectors based on simplistic models are not optimal and are computationally demanding due to the requirement of batch processing. In this presentation, a general sequential testing procedure is proposed for maneuver detection based on advanced sequential tests. It uses a likelihood marginalization technique to cope with the difficulty that the target accelerations are unknown. The approach essentially utilizes a priori information about the accelerations in typical tracking engagements and thus allows improved detection performance. The proposed approach is applicable to change-point detection problems under similar formulation, such as fault detection.

Book Optimum Array Processing

Download or read book Optimum Array Processing written by Harry L. Van Trees and published by John Wiley & Sons. This book was released on 2002-04-04 with total page 1477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Well-known authority, Dr. Van Trees updates array signal processing for today's technology This is the most up-to-date and thorough treatment of the subject available Written in the same accessible style as Van Tree's earlier classics, this completely new work covers all modern applications of array signal processing, from biomedicine to wireless communications

Book Locally Adaptive Estimation Methods with Application to Univariate Time Series

Download or read book Locally Adaptive Estimation Methods with Application to Univariate Time Series written by Mstislav Elagin and published by . This book was released on 2008 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Sequential Detection and Adaptive Estimation

Download or read book Sequential Detection and Adaptive Estimation written by Durga Prasad Malladi and published by . This book was released on 1998 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book An Introduction to Signal Detection and Estimation

Download or read book An Introduction to Signal Detection and Estimation written by H. Vincent Poor and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probabil ity and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong (1983) in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.

Book Adaptive Estimation with Change Detection for Streaming Data

Download or read book Adaptive Estimation with Change Detection for Streaming Data written by Dean Bodenham and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Cramer Rao Bound and Adaptive Estimation with Applications to I C  Lithography

Download or read book The Cramer Rao Bound and Adaptive Estimation with Applications to I C Lithography written by Alan Gatherer and published by . This book was released on 1993 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Time Delay Estimation Using New Spectral and Adaptive Filtering Methods with Applications to Underwater Target Detection

Download or read book Time Delay Estimation Using New Spectral and Adaptive Filtering Methods with Applications to Underwater Target Detection written by Mohammed A. Hasan and published by . This book was released on 1997 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Adaptive Detection and Parameter Estimation for Multidimensional Signal Models

Download or read book Adaptive Detection and Parameter Estimation for Multidimensional Signal Models written by Edward Joseph Kelly and published by . This book was released on 1989 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of target detection and signal parameter estimation in a background of unknown interference is studied, using a multidimensional generalization of the signal models usually employed for radar, sonar, and similar applications. The required techniques of multivariate statistical analysis are developed and extensively used throughout the study, and the necessary mathematical background is provided in Appendices. Target detection performance is shown to be governed by a form of the Wilks' Lambda statistic, and a new method for its numerical evaluation is given which applies to the probability of false alarm of the detector. Signal parameter estimation is shown to be directly related to known techniques of adaptive nulling, and several new results relevant to adaptive nulling performance are obtained.

Book Adaptive  Learning  and Pattern Recognition Systems  theory and applications

Download or read book Adaptive Learning and Pattern Recognition Systems theory and applications written by Mendel and published by Academic Press. This book was released on 1970-02-28 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive, Learning, and Pattern Recognition Systems; theory and applications

Book Linear Estimation

Download or read book Linear Estimation written by Thomas Kailath and published by Pearson. This book was released on 2000 with total page 888 pages. Available in PDF, EPUB and Kindle. Book excerpt: This original work offers the most comprehensive and up-to-date treatment of the important subject of optimal linear estimation, which is encountered in many areas of engineering such as communications, control, and signal processing, and also in several other fields, e.g., econometrics and statistics. The book not only highlights the most significant contributions to this field during the 20th century, including the works of Wiener and Kalman, but it does so in an original and novel manner that paves the way for further developments. This book contains a large collection of problems that complement it and are an important part of piece, in addition to numerous sections that offer interesting historical accounts and insights. The book also includes several results that appear in print for the first time. FEATURES/BENEFITS Takes a geometric point of view. Emphasis on the numerically favored array forms of many algorithms. Emphasis on equivalence and duality concepts for the solution of several related problems in adaptive filtering, estimation, and control. These features are generally absent in most prior treatments, ostensibly on the grounds that they are too abstract and complicated. It is the authors' hope that these misconceptions will be dispelled by the presentation herein, and that the fundamental simplicity and power of these ideas will be more widely recognized and exploited. Among other things, these features already yielded new insights and new results for linear and nonlinear problems in areas such as adaptive filtering, quadratic control, and estimation, including the recent Hà theories.

Book Iterative Detection

    Book Details:
  • Author : Keith Chugg
  • Publisher : Springer Science & Business Media
  • Release : 2001
  • ISBN : 9780792372776
  • Pages : 394 pages

Download or read book Iterative Detection written by Keith Chugg and published by Springer Science & Business Media. This book was released on 2001 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Iterative Detection: Adaptivity, Complexity Reduction, and Applications is a primary resource for both researchers and teachers in the field of communication. Unlike other books in the area, it presents a general view of iterative detection that does not rely heavily on coding theory or graph theory. The features of the text include: Both theoretical background and numerous real-world applications. Over 70 detailed examples, 100 problems, 180 illustrations, tables of notation and acronyms, and an extensive bibliography and subject index. A whole chapter devoted to a case study on turbo decoder design. Receiver design guidelines, rules and suggestions. The most advanced view of iterative (turbo) detection based only on block diagrams and standard detection and estimation theory. Development of adaptive iterative detection theory. Application of adaptive iterative detection to phase and channel tracking in turbo coded systems and systems representative of digital mobile radio designs. An entire chapter dedicated to complexity reduction. Numerous recent research results. Discussion of open problems at the end of each chapter. Among the applications considered in this book are joint equalization and decoding, turbo codes, multiuser detection and decoding, broadband wireless channel equalization, and applications to two-dimensional storage and imaging systems. Audience: Iterative Detection: Adaptivity, Complexity Reduction, and Applications provides an accessible and detailed reference for researchers, practicing engineers, and students working in the field of detection and estimation. It will be of particular interest to those who would like to learn how iterative detection can be applied to equalization, interference mitigation, and general signal processing tasks. Researchers and practicing engineers interested in learning the turbo decoding algorithm should also have this book.

Book Adaptive Signal Processing for Radar

Download or read book Adaptive Signal Processing for Radar written by Ramon Nitzberg and published by Artech House Publishers. This book was released on 1992 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Walks the reader through adaptive approaches to radar signal processing by detailing the basic concepts of various techniques and then developing equations to analyze their performance. Finally, it presents curves that illustrate the attained performance.

Book Applications of Space Time Adaptive Processing

Download or read book Applications of Space Time Adaptive Processing written by Richard Klemm and published by IET. This book was released on 2004-08-13 with total page 971 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text discusses various applications of space-time adaptive processing, including applications in OTH-radar, ground target tracking, STAP in real world clutter environments, jammer cancellation, superresolution, active sonar, seismics and communications. It is divided into two parts: the first dealing with the classical adaptive suppression of airborne and spacebased radar clutter, and the second comprising of miscellaneous applications in other fields such as communications, underwater sound and seismics.

Book Multiple Model Adaptive Estimation Applied to the LAMBDA URV for Failure Detection and Identification

Download or read book Multiple Model Adaptive Estimation Applied to the LAMBDA URV for Failure Detection and Identification written by David W. Lane (CAPT, USAF.) and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: