Download or read book A Bayesian Approach to Passive Bearings Only Target Tracking written by R. S. Hebbert and published by . This book was released on 1987 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: This target tracker updates the probability density in Cartesian coordinates after each observation. Bearing estimates from several sonobuoys are used simultaneously by the tracker. The target speed need not be constant, but is assumed to be bounded above. No assumption is made about the direction of motion of the target. The predicted pdf is propagated in time uniformly in all directions. The target track generated is the one that maximized the a posteriori density after each observations. Results of tests done on both real and simulated data are presented to demonstrate the tracking capabilities of this method. Keywords include: Cartesian coordinates; Sonobuoys; Bearing estimates; Target speed; and Target tracks.
Download or read book A Gaussian Sum Bayesian Approach to Passive Bearings Only Tracking written by Daniel L. Alspach and published by . This book was released on 1977 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this paper is to point out the difference in performance between a simple extended Kalman filter and an optimal Bayesian filter in pictorial form and to show reasons why extended Kalman filters do not perform satisfactorily. (Author).
Download or read book Technical Reports Awareness Circular TRAC written by and published by . This book was released on 1988-05 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Passive Underwater Target Tracking Using Bearings only Measurements written by Sanagapallea Koteswara Rao and published by LAP Lambert Academic Publishing. This book was released on 2012-06 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, passive target tracking using bearings-only measurements is studied for several underwater applications. For submarine (ownship) to submarine (target) application, Pseudo Linear Estimator and its variants are developed for various situations. The algorithm is extended to Electronic Surveillance Measures in Electronic Warfare / Intercept sonar target tracking application, where the measurements are highly aperiodic. In underwater, prior information of the target motion parameters will not be available. Therefore, Pseudo Linear Estimator is developed in such a way to work without initialization of target state vector. As this does not require statistical characteristics of noise, this can be safely used as a back up algorithm, along with any variant of Kalman filter.
Download or read book Bearings Only Target Tracking Maneuvering Target written by Dimitrios Kourkoulis and published by . This book was released on 1984 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Statistical Approach to Passive Target Tracking written by Melvin J. Hinich and published by . This book was released on 1980 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: A method for passively tracking a moving target using a sequence of bearings from a surveillance platform is presented. The key assumption of the method is that the target is moving at a constant speed on a fixed heading during the data acquisition period. The procedure can be considered as a generalization of Ekelund ranging since parameter estimates are computed after bearings are taken as the tracking platforms maneuvers. No constraint is placed on the track of the platform. The estimators presented in this paper are approximately maximum likelihood when the target is distant from the platform. (Author).
Download or read book Methods and Applications for Modeling and Simulation of Complex Systems written by Wenhui Fan and published by Springer Nature. This book was released on 2022-12-23 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set CCIS 1712 and 1713 constitutes the proceedings of the 21st Asian Simulation Conference, AsiaSim 2022, which took place in Changsha, China, in January 2023. Due to the Covid pandemic AsiaSim 2022 has been postponed to January 2023. The 97 papers presented in the proceedings were carefully reviewed and selected from 218 submissions. The contributions were organized in topical sections as follows: Modeling theory and methodology; Continuous system/discrete event system/hybrid system/intelligent system modeling and simulation; Complex systems and open, complex and giant systems modeling and simulation; Integrated natural environment and virtual reality environment modeling and simulation; Networked Modeling and Simulation; Flight simulation, simulator, simulation support environment, simulation standard and simulation system construction; High performance computing, parallel computing, pervasive computing, embedded computing and simulation; CAD/CAE/CAM/CIMS/VP/VM/VR/SBA; Big data challenges and requirements for simulation and knowledge services of big data ecosystem; Artificial intelligence for simulation; Application of modeling/simulation in science/engineering/society/economy /management/energy/transportation/life/biology/medicine etc; Application of modeling/simulation in energy saving/emission reduction, public safety, disaster prevention/mitigation; Modeling/simulation applications in the military field; Modeling/simulation applications in education and training; Modeling/simulation applications in entertainment and sports.
Download or read book Radarcon 90 written by and published by . This book was released on 1990 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Bayesian Multiple Target Tracking Second Edition written by Lawrence D. Stone and published by Artech House. This book was released on 2013-12-01 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition has undergone substantial revision from the 1999 first edition, recognizing that a lot has changed in the multiple target tracking field. One of the most dramatic changes is in the widespread use of particle filters to implement nonlinear, non-Gaussian Bayesian trackers. This book views multiple target tracking as a Bayesian inference problem. Within this framework it develops the theory of single target tracking, multiple target tracking, and likelihood ratio detection and tracking. In addition to providing a detailed description of a basic particle filter that implements the Bayesian single target recursion, this resource provides numerous examples that involve the use of particle filters. With these examples illustrating the developed concepts, algorithms, and approaches -- the book helps radar engineers develop tracking solutions when observations are non-linear functions of target state, when the target state distributions or measurement error distributions are not Gaussian, in low data rate and low signal to noise ratio situations, and when notions of contact and association are merged or unresolved among more than one target.
Download or read book A Bayesian Framework for Target Tracking Using Acoustic and Image Measurements written by Volkan Cevher and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Target tracking is a broad subject area extensively studied in many engineering disciplines. In this thesis, target tracking implies the temporal estimation of target features such as the target's direction-of-arrival (DOA), the target's boundary pixels in a sequence of images, and/or the target's position in space. For multiple target tracking, we have introduced a new motion model that incorporates an acceleration component along the heading direction of the target. We have also shown that the target motion parameters can be considered part of a more general feature set for target tracking, e.g., target frequencies, which may be unrelated to the target motion, can be used to improve the tracking performance. We have introduced an acoustic multiple-target tracker using a flexible observation model based on an image tracking approach by assuming that the DOA observations might be spurious and that some of the DOAs might be missing in the observation set. We have also addressed the acoustic calibration problem from sources of opportunity such as beacons or a moving source. We have derived and compared several calibration methods for the case where the node can hear a moving source whose position can be reported back to the node. The particle filter, as a recursive algorithm, requires an initialization phase prior to tracking a state vector. The Metropolis-Hastings (MH) algorithm has been used for sampling from intractable multivariate target distributions and is well suited for the initialization problem. Since the particle filter only needs samples around the mode, we have modified the MH algorithm to generate samples distributed around the modes of the target posterior. By simulations, we show that this "mode hungry" algorithm converges an order of magnitude faster than the original MH scheme. Finally, we have developed a general framework for the joint state-space tracking problem. A proposal strategy for joint state-space tracking using the particle filters is defined by carefully placing the random support of the joint filter in the region where the final posterior is likely to lie. Computer simulations demonstrate improved performance and robustness of the joint state-space when using the new particle proposal strategy.
Download or read book ICASSP 80 written by and published by . This book was released on 1980 with total page 1188 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Bayesian Multiple Target Tracking written by Lawrence D. Stone and published by . This book was released on 2014 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Particle Filters for Random Set Models written by Branko Ristic and published by Springer Science & Business Media. This book was released on 2013-04-15 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based on the Monte Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.
Download or read book Sensor Signal and Information Processing II written by Wai Lok Woo and published by MDPI. This book was released on 2020-12-29 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem solving. These algorithms have the capacity to generalize and discover knowledge for themselves and learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topic ranges from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspiring filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensors processing.
Download or read book Bayesian Multiple Target Tracking written by Lawrence D. Stone and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Radar Data Processing With Applications written by He You and published by John Wiley & Sons. This book was released on 2016-08-01 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radar Data Processing with Applications Radar Data Processing with Applications He You, Xiu Jianjuan, Guan Xin, Naval Aeronautical and Astronautical University, China A summary of thirty years’ worth of research, this book is a systematic introduction to the theory, development, and latest research results of radar data processing technology. Highlights of the book include sections on data pre-processing technology, track initiation, and data association. Readers are also introduced to maneuvering target tracking, multiple target tracking termination, and track management theory. In order to improve data analysis, the authors have also included group tracking registration algorithms and a performance evaluation of radar data processing. Presents both classical theory and development methods of radar data processing Provides state-of-the-art research results, including data processing for modern radars and tracking performance evaluation theory Includes coverage of performance evaluation, registration algorithm for radar networks, data processing of passive radar, pulse Doppler radar, and phased array radar Features applications for those engaged in information engineering, radar engineering, electronic countermeasures, infrared techniques, sonar techniques, and military command Radar Data Processing with Applications is a handy guide for engineers and industry professionals specializing in the development of radar equipment and data processing. It is also intended as a reference text for electrical engineering graduate students and researchers specializing in signal processing and radars.
Download or read book Target Tracking with Random Finite Sets written by Weihua Wu and published by Springer Nature. This book was released on 2023-08-02 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on target tracking and information fusion with random finite sets. Both principles and implementations have been addressed, with more weight placed on engineering implementations. This is achieved by providing in-depth study on a number of major topics such as the probability hypothesis density (PHD), cardinalized PHD, multi-Bernoulli (MB), labeled MB (LMB), d-generalized LMB (d-GLMB), marginalized d-GLMB, together with their Gaussian mixture and sequential Monte Carlo implementations. Five extended applications are covered, which are maneuvering target tracking, target tracking for Doppler radars, track-before-detect for dim targets, target tracking with non-standard measurements, and target tracking with multiple distributed sensors. The comprehensive and systematic summarization in target tracking with RFSs is one of the major features of the book, which is particularly suited for readers who are interested to learn solutions in target tracking with RFSs. The book benefits researchers, engineers, and graduate students in the fields of random finite sets, target tracking, sensor fusion/data fusion/information fusion, etc.
