Foundations And Applications Of Sensor Management

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Foundations And Applications Of Sensor Management

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Author : Alfred Olivier Hero
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-23

Foundations And Applications Of Sensor Management written by Alfred Olivier Hero 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 2007-10-23 with Technology & Engineering categories.

This book covers control theory signal processing and relevant applications in a unified manner. It introduces the area, takes stock of advances, and describes open problems and challenges in order to advance the field. The editors and contributors to this book are pioneers in the area of active sensing and sensor management, and represent the diverse communities that are targeted.

Foundations And Applications Of Sensor Management Edited By A O Hero Et Al

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Author : A.O. Hero
language : en
Publisher:
Release Date : 2007

Foundations And Applications Of Sensor Management Edited By A O Hero Et Al written by A.O. Hero and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Detectors categories.

Sensor Management For Target Tracking Applications

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Author : Per Boström-Rost
language : en
Publisher: Linköping University Electronic Press
Release Date : 2021-04-12

Sensor Management For Target Tracking Applications written by Per Boström-Rost and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-12 with categories.

Many practical applications, such as search and rescue operations and environmental monitoring, involve the use of mobile sensor platforms. The workload of the sensor operators is becoming overwhelming, as both the number of sensors and their complexity are increasing. This thesis addresses the problem of automating sensor systems to support the operators. This is often referred to as sensor management. By planning trajectories for the sensor platforms and exploiting sensor characteristics, the accuracy of the resulting state estimates can be improved. The considered sensor management problems are formulated in the framework of stochastic optimal control, where prior knowledge, sensor models, and environment models can be incorporated. The core challenge lies in making decisions based on the predicted utility of future measurements. In the special case of linear Gaussian measurement and motion models, the estimation performance is independent of the actual measurements. This reduces the problem of computing sensing trajectories to a deterministic optimal control problem, for which standard numerical optimization techniques can be applied. A theorem is formulated that makes it possible to reformulate a class of nonconvex optimization problems with matrix-valued variables as convex optimization problems. This theorem is then used to prove that globally optimal sensing trajectories can be computed using off-the-shelf optimization tools. As in many other fields, nonlinearities make sensor management problems more complicated. Two approaches are derived to handle the randomness inherent in the nonlinear problem of tracking a maneuvering target using a mobile range-bearing sensor with limited field of view. The first approach uses deterministic sampling to predict several candidates of future target trajectories that are taken into account when planning the sensing trajectory. This significantly increases the tracking performance compared to a conventional approach that neglects the uncertainty in the future target trajectory. The second approach is a method to find the optimal range between the sensor and the target. Given the size of the sensor's field of view and an assumption of the maximum acceleration of the target, the optimal range is determined as the one that minimizes the tracking error while satisfying a user-defined constraint on the probability of losing track of the target. While optimization for tracking of a single target may be difficult, planning for jointly maintaining track of discovered targets and searching for yet undetected targets is even more challenging. Conventional approaches are typically based on a traditional tracking method with separate handling of undetected targets. Here, it is shown that the Poisson multi-Bernoulli mixture (PMBM) filter provides a theoretical foundation for a unified search and track method, as it not only provides state estimates of discovered targets, but also maintains an explicit representation of where undetected targets may be located. Furthermore, in an effort to decrease the computational complexity, a version of the PMBM filter which uses a grid-based intensity to represent undetected targets is derived.

Probabilistic Framework For Sensor Management

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Author : Marco Huber
language : en
Publisher: KIT Scientific Publishing
Release Date : 2009

Probabilistic Framework For Sensor Management written by Marco Huber and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Electronic computers. Computer science categories.

A probabilistic sensor management framework is introduced, which maximizes the utility of sensor systems with many different sensing modalities by dynamically configuring the sensor system in the most beneficial way. For this purpose, techniques from stochastic control and Bayesian estimation are combined such that long-term effects of possible sensor configurations and stochastic uncertainties resulting from noisy measurements can be incorporated into the sensor management decisions.

Sensor Management In Isr

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Author : Kenneth J. Hintz
language : en
Publisher: Artech House
Release Date : 2020-02-29

Sensor Management In Isr written by Kenneth J. Hintz and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-29 with Technology & Engineering categories.

This innovative resource is the first book that partitions the intelligence, surveillance and reconnaissance (ISR) sensor management process into partitioned functions that can be studied and optimized independently of each other through defined conceptual interfaces. The book explains the difference between situation information and sensor information and how to compute both. The information-based sensor management (IBSM) approach to real-time orchestrated resource management (ORM) of intelligence, surveillance, and reconnaissance (ISR) assets in the physical, cyber, and social domains are detailed. The integrating concept of mission value through use of goal lattice (GL) methodology is explored. Approaches to implementing real-time sensor management (SM) systems by applying advanced information-based approaches that consider contextual situation and optimization of diverse sensor capabilities for information-based objectives are also covered. These methods have applications in physical intelligence, surveillance, and reconnaissance (ISR), as well as in cyber, and social domains. Based on 30 years of research in developing a mission-valued approach to maximizing the transfer of information from real, cyber, and social environments into a mission-valued, probabilistic representation of that environment on which decision makers can formulate actions, this is the only book that addresses real-time management of ISR from a first principles approach (information theory), and how information theory can be applied to the design and development of ISR systems.

Analytical And Stochastic Modelling Techniques And Applications

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Author : Sabine Wittevrongel
language : en
Publisher: Springer
Release Date : 2016-08-03

Analytical And Stochastic Modelling Techniques And Applications written by Sabine Wittevrongel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-03 with Computers categories.

This book constitutes the refereed proceedings of the 23rd International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2016, held in Cardiff, UK, in August 2016. The 21 full papers presented in this book were carefully reviewed and selected from 30 submissions. The papers discuss the latest developments in analytical, numerical and simulation algorithms for stochastic systems, including Markov processes, queueing networks, stochastic Petri nets, process algebras, game theory, etc.

Recent Advances In Computational Intelligence In Defense And Security

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Author : Rami Abielmona
language : en
Publisher: Springer
Release Date : 2015-12-21

Recent Advances In Computational Intelligence In Defense And Security written by Rami Abielmona and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-21 with Technology & Engineering categories.

This volume is an initiative undertaken by the IEEE Computational Intelligence Society’s Task Force on Security, Surveillance and Defense to consolidate and disseminate the role of CI techniques in the design, development and deployment of security and defense solutions. Applications range from the detection of buried explosive hazards in a battlefield to the control of unmanned underwater vehicles, the delivery of superior video analytics for protecting critical infrastructures or the development of stronger intrusion detection systems and the design of military surveillance networks. Defense scientists, industry experts, academicians and practitioners alike will all benefit from the wide spectrum of successful applications compiled in this volume. Senior undergraduate or graduate students may also discover uncharted territory for their own research endeavors.

Naval Isr Fusion Principles Operations And Technologies

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Author : Jim Scrofani
language : en
Publisher: Artech House
Release Date : 2023-03-31

Naval Isr Fusion Principles Operations And Technologies written by Jim Scrofani and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Technology & Engineering categories.

A comprehensive discussion of operational requirements for future naval operations with sufficient detail to enable design and development of technical solutions to achieve the advanced information fusion and command and control concepts described. This book provides a unique focus on advanced approaches to Naval ISR and the critical underlying technologies to enable Distributed Maritime Operations (DMO). Also describing the approach of distributed Naval ops and role of ISR applying advanced technologies and addressing future conflict, new U.S. Naval maritime approaches, distributed Maritime Operations (DMO) and the newest U.S. Navy operational concept. This is a great resource for Naval officers in the ISR, Intelligence, Space, ASW, EW and Surface Warfare, disciplines who seek an in-depth understanding of advanced ISR operations and technologies as well as Navy and industry managers and engineers planning and developing advanced naval systems.

Partially Observed Markov Decision Processes

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Author : Vikram Krishnamurthy
language : en
Publisher: Cambridge University Press
Release Date : 2016-03-21

Partially Observed Markov Decision Processes written by Vikram Krishnamurthy 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 2016-03-21 with Technology & Engineering categories.

Covering formulation, algorithms, and structural results, and linking theory to real-world applications in controlled sensing (including social learning, adaptive radars and sequential detection), this book focuses on the conceptual foundations of partially observed Markov decision processes (POMDPs). It emphasizes structural results in stochastic dynamic programming, enabling graduate students and researchers in engineering, operations research, and economics to understand the underlying unifying themes without getting weighed down by mathematical technicalities. Bringing together research from across the literature, the book provides an introduction to nonlinear filtering followed by a systematic development of stochastic dynamic programming, lattice programming and reinforcement learning for POMDPs. Questions addressed in the book include: when does a POMDP have a threshold optimal policy? When are myopic policies optimal? How do local and global decision makers interact in adaptive decision making in multi-agent social learning where there is herding and data incest? And how can sophisticated radars and sensors adapt their sensing in real time?

Information Driven Planning And Control

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Author : Silvia Ferrari
language : en
Publisher: MIT Press
Release Date : 2021-07-06

Information Driven Planning And Control written by Silvia Ferrari and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-06 with Computers categories.

A unified framework for developing planning and control algorithms for active sensing, with examples of applications for specific sensor technologies. Active sensor systems, increasingly deployed in such applications as unmanned vehicles, mobile robots, and environmental monitoring, are characterized by a high degree of autonomy, reconfigurability, and redundancy. This book is the first to offer a unified framework for the development of planning and control algorithms for active sensing, with examples of applications for a range of specific sensor technologies. The methods presented can be characterized as information-driven because their goal is to optimize the value of information, rather than to optimize traditional guidance and navigation objectives.