Optimum Multisensor, Multitarget Time Delay Estimation


Book Description

This study presents the results of an investigation of the optimum signal processor for passive time delay estimation in a multisensor, multitarget environment. The target-sensor geometry is assumed stationary over the observation time interval. The performance of the optimum processor in terms of Cramer-Rao Lower Bound is presented. The relation between time delay estimation and localization parameter estimation is explored. The derivation of the optimum processor for joint time delay and power spectral estimation is also presented. Methods for improved time delay estimation in the presence of interference are investigated. Finally, a simple analytical expression for the Cramer-Rao Lower Bound for the joint cross-sensor time delay estimate from M sensor arrays is derived. (Author).




Optimum Multisensor, Multitarget Localization and Tracking


Book Description

This study provides a fundamental examination of the optimum signal processor design for time delay estimation under the assumption of a multisensor, multitarget environment. Using an MLE procedure, an optimum multisensor, multitarget time delay estimator is derived. The resulting signal processor is reduced to its simplest form for system realization. In addition, this study derives the appropriate performance bound for the resulting estimator. Comparisons between optimum and suboptimum realizations are also discussed. The optimum multisensors, multitarget time delay estimator is then refined to include the moving target environment. Finally, the variable time delay estimator is applied to the problem of variable localization parameter estimation and tracking. The organization of this report is as follows: Chapter 2 discusses and formulates the multisensor, multitarget time delay estimation problem. Chapter 3 derives the optimum time delay estimator and an appropriate performance bound. In addition, the extension of time delay estimation to localization parameter estimation and power spectral estimation is considered. Chapter 4 provides some discussion on suboptimum processor realization. Chapter 5 discusses alternate approaches for improved multitarget parameter resolution. Chapter 6 extends the optimum time delay processor to include variable time delays. Chapter 7 examines the problem of optimum variable localization parameter estimation and tracking. Finally, Chapter 8 presents the summary, conclusions, and recommendations of the study.







Networked Multisensor Decision and Estimation Fusion


Book Description

Due to the increased capability, reliability, robustness, and survivability of systems with multiple distributed sensors, multi-source information fusion has become a crucial technique in a growing number of areas-including sensor networks, space technology, air traffic control, military engineering, agriculture and environmental engineering, and i




Handbook of Digital Signal Processing


Book Description

FROM THE PREFACE: Many new useful ideas are presented in this handbook, including new finite impulse response (FIR) filter design techniques, half-band and multiplierless FIR filters, interpolated FIR (IFIR) structures, and error spectrum shaping.




Underwater Acoustic Data Processing


Book Description

This book contains the papers that were accepted for presentation at the 1988 NATO Advanced Study Institute on Underwater Acoustic Data Processing, held at the Royal Military College of Canada from 18 to 29 July, 1988. Approximately 110 participants from various NATO countries were in attendance during this two week period. Their research interests range from underwater acoustics to signal processing and computer science; some are renowned scientists and some are recent Ph.D. graduates. The purpose of the ASI was to provide an authoritative summing up of the various research activities related to sonar technology. The exposition on each subject began with one or two tutorials prepared by invited lecturers, followed by research papers which provided indications of the state of development in that specific area. I have broadly classified the papers into three sections under the titles of I. Propagation and Noise, II. Signal Processing and III. Post Processing. The reader will find in Section I papers on low frequency acoustic sources and effects of the medium on underwater acoustic propagation. Problems such as coherence loss due to boundary interaction, wavefront distortion and multipath transmission were addressed. Besides the medium, corrupting noise sources also have a strong influence on the performance of a sonar system and several researchers described methods of modeling these sources.







Control and Dynamic Systems V31: Advances in Aerospace Systems Dynamics and Control Systems Part 1 of 3


Book Description

Control and Dynamic Systems: Advances in Theory in Applications, Volume 31: Advances in Aerospace Systems Dynamics and Control Systems, Part 1 of 3 deals with significant advances in technologies which support the development of aerospace systems. It also presents several algorithms and computational techniques used in complex aerospace systems. The techniques discussed in this volume include: moving-bank multiple model adaptive estimation, algorithms for multitarget sensor tracking systems; algorithms in differential dynamic programming; optimal control of linear stochastic systems; and normalized predictive deconvulation. This book is an important reference for practitioners in the field who want a comprehensive source of techniques with significant applied implications.




Distributed Fusion Estimation for Sensor Networks with Communication Constraints


Book Description

This book systematically presents energy-efficient robust fusion estimation methods to achieve thorough and comprehensive results in the context of network-based fusion estimation. It summarizes recent findings on fusion estimation with communication constraints; several novel energy-efficient and robust design methods for dealing with energy constraints and network-induced uncertainties are presented, such as delays, packet losses, and asynchronous information... All the results are presented as algorithms, which are convenient for practical applications.




Mobile Intelligent Autonomous Systems


Book Description

Going beyond the traditional field of robotics to include other mobile vehicles, this reference and "recipe book" describes important theoretical concepts, techniques, and applications that can be used to build truly mobile intelligent autonomous systems (MIAS). With the infusion of neural networks, fuzzy logic, and genetic algorithm paradigms for MIAS, it blends modeling, sensors, control, estimation, optimization, signal processing, and heuristic methods in MIAS and robotics, and includes examples and applications throughout. Offering a comprehensive view of important topics, it helps readers understand the subject from a system-theoretic and practical point of view.