Source Localization In The Presence Of Sensor Manifold Uncertainties And Synchronization Error
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Source Localization In The Presence Of Sensor Manifold Uncertainties And Synchronization Error
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Author : Yue Wang
language : en
Publisher:
Release Date : 2011
Source Localization In The Presence Of Sensor Manifold Uncertainties And Synchronization Error written by Yue Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Electronic Dissertations categories.
Passive source localization is a commonly used technology which can be applied to many areas. A lot of positioning methods have been derived on this subject, such as time of arrivals (TOAs), time differences of arrival (TDOAs), angle of arrivals (AOAs). This thesis is mainly based on Chan and Ho's two stage closed form TDOAs source localization method. However, Chan and Ho's method assume the sensor positions are known and all of the sensors are perfectly synchronized. Three topics that affect the accuracy of the source localization are discussed in this thesis in the presence of sensor position manifold uncertainties, in the presence of clock-bias error and in the presence of both sensor position manifold uncertainties and clock-bias error. For all of the three topics, we develop an estimator for source localization. Then, we use simulation to analyse the performance of the proposed estimator. The simulation result shows that the proposed method reaches the CRLB performance for both the near-field and distant sources in the small error region. Furthermore, the proposed method has been proven that its performance reaches CRLB theoretically.
Source Localization Using Airborne Sensor Arrays In The Presence Of Manifold Perturbations
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Author : Hasan S. Mir
language : en
Publisher:
Release Date : 2005
Source Localization Using Airborne Sensor Arrays In The Presence Of Manifold Perturbations written by Hasan S. Mir and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Signal processing categories.
Blind Received Signal Strength Difference Based Source Localization With System Parameter Error And Sensor Position Uncertainty
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Author : Hannan Lohrasbipeydeh
language : en
Publisher:
Release Date : 2014
Blind Received Signal Strength Difference Based Source Localization With System Parameter Error And Sensor Position Uncertainty written by Hannan Lohrasbipeydeh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Passive source localization in wireless sensor networks (WSNs) is an important field of research with numerous applications in signal processing and wireless communications. One purpose of a WSN is to determine the position of a signal emitted from a source. This position is estimated based on received noisy measurements from sensors (anchor nodes) that are distributed over a geographical area. In most cases, the sensor positions are assumed to be known exactly, which is not always reasonable. Even if the sensor positions are measured initially, they can change over time. Due to the sensitivity of source location estimation accuracy with respect to the a priori sensor position information, the source location estimates obtained can vary significantly regardless of the localization method used. Therefore, the sensor position uncertainty should be considered to obtain accurate estimates. Among the many localization approaches, signal strength based methods have the advantages of low cost and simple implementation. The received signal energy mainly depends on the transmitted power and path loss exponent which are often unknown in practical scenarios. In this dissertation, three received signal strength difference (RSSD) based methods are presented to localize a source with unknown transmit power. A nonlinear RSSD-based model is formulated for systems perturbed by noise. First, an effective low complexity constrained weighted least squares (CWLS) technique in the presence of sensor uncertainty is derived to obtain a least squares initial estimate (LSIE) of the source location. Then, this estimate is improved using a computationally efficient Newton method. The Cramer-Rao lower bound (CRLB) is derived to determine the effect of sensor location uncertainties on the source location estimate. Results are presented which show that the proposed method achieves the CRLB when the signal to noise ratio (SNR) is sufficiently high. Least squares (LS) based methods are typically used to obtain the location estimate that minimizes the data vector error instead of directly minimizing the unknown parameter estimation error ... .
Source Localization Using Tdoa With Erroneous Receiver Positions
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Author : La-or Kovavisaruch
language : en
Publisher:
Release Date : 2005
Source Localization Using Tdoa With Erroneous Receiver Positions written by La-or Kovavisaruch and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Electronic dissertations categories.
Source localization has been an active research for several years. It has applications in many areas such as geolocation and mobile user location. Various methodologies have been proposed to passively localize an emitting signal source. One of the most popular techniques is to use the Time Difference of Arrival (TDOA) measurements. TDOA localization technique determines the source position by examining the time differences at which the source signal arrives at multiple spatially separated sensors. There are several methods to solve the TDOA source location problem, and two of the widely known methods are the Maximum Likelihood method and the Taylor-series method. Those methods assume that the sensor positions are exactly known, and this assumption may not be the case in practice. The performance of these methods degrades significantly when the receiver positions have error. The estimation of the of the source location with sensor position uncertainty has been investigated for over a decade. While most of the previous research has been conducted on finding the bearing angle or the angle of arrival of multiple sources in the presence of sensor position noise, noise, in this research, the objective is to locate the exact position of a source in three dimensional space using TDOA measurements when there are random errors in the receiver positions. In this research, three methods are proposed to estimate the source position from TDOA measurements when the receiver positions have random errors. The first method is an extended work from Chan and Ho's work. Chan and Ho's method uses two-stage Least Square (LS) minimization. They introduce an auxiliary variable and solve the source position together with the auxiliary variable using linear LS minimization. The information in the auxiliary variable is then included to the location estimate through another LS minimization to improve accuracy. The first method includes the sensor position error power into a weighting matrix and uses it to improve the accuracy of the source location estimate. The second method consists of three steps. The first step is to estimate the source location with the noisy receiver positions. In the second step, the estimated source position is used to reduce the noise in the receiver positions in order to obtain more accurate positions of the receivers. And in the last step, the source is estimated again using the improved receiver positions from the second step. The source location estimate will be more precise due to better knowledge of receiver positions. The second and the third steps can be repeated several times to obtain even more accurate source location. The third method is based on the Taylor-series method and jointly estimates both source and receiver positions simultaneously. Both the first and the second proposed method utilize the weighted LS minimization to obtain the source and receiver positions and do not involve any linear approximation. Hence, they are computationally attractive and do not have the divergence and initialization problems. For the third method, one deficiency is that it requires a good initial solution guess close to the true solution to begin with in order to ensure convergence. In any case, the divergence behavior can often be detected so that reinitialization can be made. This researach also investigates the effect of receiver position errors to the accuracy of source location estimate in terms of the CRLB and the MSE. The observation confirms that the uncertainty in the receiver position did degrade an estimator's performance. In addition, this research also includes the study of the effect of the choice of reference receiver in the presence of unequal receiver noise power. The study indicates that CRLB is independent of the choice of the reference receiver. Nevertheless, the performance of the proposed closed form solutions is affected by choice of the reference receiver in near-field case, but not the far-field case.
Niedermeyer S Electroencephalography
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Author : Donald L. Schomer
language : en
Publisher: Lippincott Williams & Wilkins
Release Date : 2012-10-18
Niedermeyer S Electroencephalography written by Donald L. Schomer and has been published by Lippincott Williams & Wilkins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-18 with Medical categories.
The leading reference on electroencephalography since 1982, Niedermeyer's Electroencephalography is now in its thoroughly updated Sixth Edition. An international group of experts provides comprehensive coverage of the neurophysiologic and technical aspects of EEG, evoked potentials, and magnetoencephalography, as well as the clinical applications of these studies in neonates, infants, children, adults, and older adults. This edition's new lead editor, Donald Schomer, MD, has updated the technical information and added a major new chapter on artifacts. Other highlights include complete coverage of EEG in the intensive care unit and new chapters on integrating other recording devices with EEG; transcranial electrical and magnetic stimulation; EEG/TMS in evaluation of cognitive and mood disorders; and sleep in premature infants, children and adolescents, and the elderly. A companion website includes fully searchable text and image bank.
Probabilistic Robotics
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Author : Sebastian Thrun
language : en
Publisher: MIT Press
Release Date : 2005-08-19
Probabilistic Robotics written by Sebastian Thrun and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-19 with Technology & Engineering categories.
An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
Multi Sensor Information Fusion
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Author : Xue-Bo Jin
language : en
Publisher: MDPI
Release Date : 2020-03-23
Multi Sensor Information Fusion written by Xue-Bo Jin and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-23 with Technology & Engineering categories.
This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.
State Estimation For Robotics
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Author : Timothy D. Barfoot
language : en
Publisher: Cambridge University Press
Release Date : 2017-07-31
State Estimation For Robotics written by Timothy D. Barfoot and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-31 with Computers categories.
A modern look at state estimation, targeted at students and practitioners of robotics, with emphasis on three-dimensional applications.
Audio Signal Processing For Next Generation Multimedia Communication Systems
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Author : Yiteng (Arden) Huang
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-03-31
Audio Signal Processing For Next Generation Multimedia Communication Systems written by Yiteng (Arden) Huang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-31 with Technology & Engineering categories.
Audio Signal Processing for Next-Generation Multimedia Communication Systems presents cutting-edge digital signal processing theory and implementation techniques for problems including speech acquisition and enhancement using microphone arrays, new adaptive filtering algorithms, multichannel acoustic echo cancellation, sound source tracking and separation, audio coding, and realistic sound stage reproduction. This book's focus is almost exclusively on the processing, transmission, and presentation of audio and acoustic signals in multimedia communications for telecollaboration where immersive acoustics will play a great role in the near future.
Multi Camera Networks
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Author : Hamid Aghajan
language : en
Publisher: Academic Press
Release Date : 2009-04-25
Multi Camera Networks written by Hamid Aghajan and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-25 with Technology & Engineering categories.
The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applications Presents in detail the latest developments in multi-camera calibration, active and heterogeneous camera networks, multi-camera object and event detection, tracking, coding, smart camera architecture and middleware This book is the definitive reference in multi-camera networks. It gives clear guidance on the conceptual and implementation issues involved in the design and operation of multi-camera networks, as well as presenting the state-of-the-art in hardware, algorithms and system development. The book is broad in scope, covering smart camera architectures, embedded processing, sensor fusion and middleware, calibration and topology, network-based detection and tracking, and applications in distributed and collaborative methods in camera networks. This book will be an ideal reference for university researchers, R&D engineers, computer engineers, and graduate students working in signal and video processing, computer vision, and sensor networks. Hamid Aghajan is a Professor of Electrical Engineering (consulting) at Stanford University. His research is on multi-camera networks for smart environments with application to smart homes, assisted living and well being, meeting rooms, and avatar-based communication and social interactions. He is Editor-in-Chief of Journal of Ambient Intelligence and Smart Environments, and was general chair of ACM/IEEE ICDSC 2008. Andrea Cavallaro is Reader (Associate Professor) at Queen Mary, University of London (QMUL). His research is on target tracking and audiovisual content analysis for advanced surveillance and multi-sensor systems. He serves as Associate Editor of the IEEE Signal Processing Magazine and the IEEE Trans. on Multimedia, and has been general chair of IEEE AVSS 2007, ACM/IEEE ICDSC 2009 and BMVC 2009. The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applications Presents in detail the latest developments in multi-camera calibration, active and heterogeneous camera networks, multi-camera object and event detection, tracking, coding, smart camera architecture and middleware