Model Based Ocean Acoustic Passive Localization

DOWNLOAD

Download Model Based Ocean Acoustic Passive Localization PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Model Based Ocean Acoustic Passive Localization book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Model Based Ocean Acoustic Passive Localization

DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1994

Model Based Ocean Acoustic Passive Localization written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.

Institutiones Physicae Proemium De Physicae Natura Et Constitutione

DOWNLOAD
Author :
language : en
Publisher:
Release Date :

Institutiones Physicae Proemium De Physicae Natura Et Constitutione written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Model Based Localization For A Shallow Ocean Experiment

DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1995

Model Based Localization For A Shallow Ocean Experiment written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.

In this paper a modern approach was developed to solve the passive localization problem in ocean acoustics using the state-space formulation. It is shown that the inherent structure of the resulting processor consists of a parameter estimator coupled to a nonlinear optimization scheme. The parameter estimator is design using an acoustic propagation model in developing the modern identifier required for localization. The detection and localization of an acoustic source has long been the motivation of early sonar systems. With the advent of quieter and quieter submarines due to new manufacturing technologies and the next proliferation of diesel powered vessels, the need for more sophisticated processing techniques has been apparent for quite some time.

Model Based Processing For Underwater Acoustic Arrays

DOWNLOAD
Author : Edmund J. Sullivan
language : en
Publisher: Springer
Release Date : 2015-05-14

Model Based Processing For Underwater Acoustic Arrays written by Edmund J. Sullivan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-14 with Science categories.

This monograph presents a unified approach to model-based processing for underwater acoustic arrays. The use of physical models in passive array processing is not a new idea, but it has been used on a case-by-case basis, and as such, lacks any unifying structure. This work views all such processing methods as estimation procedures, which then can be unified by treating them all as a form of joint estimation based on a Kalman-type recursive processor, which can be recursive either in space or time, depending on the application. This is done for three reasons. First, the Kalman filter provides a natural framework for the inclusion of physical models in a processing scheme. Second, it allows poorly known model parameters to be jointly estimated along with the quantities of interest. This is important, since in certain areas of array processing already in use, such as those based on matched-field processing, the so-called mismatch problem either degrades performance or, indeed, prevents any solution at all. Thirdly, such a unification provides a formal means of quantifying the performance improvement. The term model-based will be strictly defined as the use of physics-based models as a means of introducing a priori information. This leads naturally to viewing the method as a Bayesian processor. Short expositions of estimation theory and acoustic array theory are presented, followed by a presentation of the Kalman filter in its recursive estimator form. Examples of applications to localization, bearing estimation, range estimation and model parameter estimation are provided along with experimental results verifying the method. The book is sufficiently self-contained to serve as a guide for the application of model-based array processing for the practicing engineer.

Passive Localization

DOWNLOAD
Author : J. V. Candy
language : en
Publisher:
Release Date : 1988

Passive Localization written by J. V. Candy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Acoustic models categories.

Model Based Signal Processing

DOWNLOAD
Author : James V. Candy
language : en
Publisher: John Wiley & Sons
Release Date : 2005-10-27

Model Based Signal Processing written by James V. Candy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-27 with Technology & Engineering categories.

A unique treatment of signal processing using a model-based perspective Signal processing is primarily aimed at extracting useful information, while rejecting the extraneous from noisy data. If signal levels are high, then basic techniques can be applied. However, low signal levels require using the underlying physics to correct the problem causing these low levels and extracting the desired information. Model-based signal processing incorporates the physical phenomena, measurements, and noise in the form of mathematical models to solve this problem. Not only does the approach enable signal processors to work directly in terms of the problem's physics, instrumentation, and uncertainties, but it provides far superior performance over the standard techniques. Model-based signal processing is both a modeler's as well as a signal processor's tool. Model-Based Signal Processing develops the model-based approach in a unified manner and follows it through the text in the algorithms, examples, applications, and case studies. The approach, coupled with the hierarchy of physics-based models that the author develops, including linear as well as nonlinear representations, makes it a unique contribution to the field of signal processing. The text includes parametric (e.g., autoregressive or all-pole), sinusoidal, wave-based, and state-space models as some of the model sets with its focus on how they may be used to solve signal processing problems. Special features are provided that assist readers in understanding the material and learning how to apply their new knowledge to solving real-life problems. * Unified treatment of well-known signal processing models including physics-based model sets * Simple applications demonstrate how the model-based approach works, while detailed case studies demonstrate problem solutions in their entirety from concept to model development, through simulation, application to real data, and detailed performance analysis * Summaries provided with each chapter ensure that readers understand the key points needed to move forward in the text as well as MATLAB(r) Notes that describe the key commands and toolboxes readily available to perform the algorithms discussed * References lead to more in-depth coverage of specialized topics * Problem sets test readers' knowledge and help them put their new skills into practice The author demonstrates how the basic idea of model-based signal processing is a highly effective and natural way to solve both basic as well as complex processing problems. Designed as a graduate-level text, this book is also essential reading for practicing signal-processing professionals and scientists, who will find the variety of case studies to be invaluable. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department

Advanced Signal Processing Handbook

DOWNLOAD
Author : Stergios Stergiopoulos
language : en
Publisher: CRC Press
Release Date : 2017-09-08

Advanced Signal Processing Handbook written by Stergios Stergiopoulos and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-08 with Technology & Engineering categories.

Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far beyond those of just few years ago. Nonlinear, adaptive methods for signal processing have emerged to provide better array gain performance, however, they lack the robustness of conventional algorithms. The challenge remains to develop a concept that exploits the advantages of both-a scheme that integrates these methods in practical, real-time systems. The Advanced Signal Processing Handbook helps you meet that challenge. Beyond offering an outstanding introduction to the principles and applications of advanced signal processing, it develops a generic processing structure that takes advantage of the similarities that exist among radar, sonar, and medical imaging systems and integrates conventional and nonlinear processing schemes.

Theoretical And Computational Acoustics 95

DOWNLOAD
Author : Ding Lee
language : en
Publisher: World Scientific
Release Date : 1996-08-30

Theoretical And Computational Acoustics 95 written by Ding Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-08-30 with categories.

This conference provided a forum for active researchers to discuss the state-of-the-art in theoretical and computational acoustics. Topics covered fluid/elastic interface-theoretical and computational aspects with applications, seismic waves and earthquake studies, modeling, theoretical and computational aspects for multidimensional wave propagation, methods for computational acoustics, structural acoustics, scattering and inverse problems, solutions to acoustic problems by supercomputers and parallel processing, and application of neural networks to acoustics.

Performance Bounds On The Passive Localization Of A Moving Source For Ocean Acoustics

DOWNLOAD
Author : Hee Chun Song
language : en
Publisher:
Release Date : 1990

Performance Bounds On The Passive Localization Of A Moving Source For Ocean Acoustics written by Hee Chun Song and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.

Passive Localization Of An Underwater Acoustic Source Using Directional Sensors

DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1901

Passive Localization Of An Underwater Acoustic Source Using Directional Sensors written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1901 with categories.

This thesis studies the passive localization (bearing estimation and range and depth estimation) of a single stationary underwater acoustic source in a two-path (direct and surface-reflected path) environment. The main objective of the study is to synthesize and then analyze a passive localization system with a two-receiver (vertically separated) structure that can be supported by a single sonobuoy. Each of the two receivers consists of a cluster of directional sensors uniformly located on a small circle in a horizontal plane. The gain profile of the directional sensors is such that it depends only on bearing of source. Source bearing is estimated from the average signal powers received at two adjacent sensors in one of the two clusters. The focus in the study of bearing estimation is on the feasibility of energy-based bearing estimators. The range and depth information of the source is extracted from the 6 estimated time differences of arrivals (TDOAs) at the two receivers. The emphasis in the study of range and depth estimation is on the correlation among the multipath TDOA estimators and its effect on the prediction of the variance of the time delay-based range and depth estimators. Two algorithms for energy-based bearing estimation are developed. Expressions for the bias and variance of both energy-based bearing estimators are derived. They reveal a fairly simple relationship between the performance of the two bearing estimators and the design parameters (the omnidirectional signal-to-noise ratio and the two receiver parameters). Using the developed expressions can provide good predictions of the bias and variance of the two energy-based bearing estimators in the case of reasonable signal-to-noise ratios. The range and depth estimators are investigated with time delay techniques. Fifteen expressions for the covariance among the six multipath TDOA estimators are derived. It is shown that all six multipath TDOA estimators are correlated and the degree of the corre.