Vyacheslav Tuzlukov – författare

Additive and multiplicative noise in the information signal can significantly limit the potential of complex signal processing systems, especially when those systems use signals with complex phase structure. During the last few years this problem has been the focus of much research, and its solution could lead to profound improvements in applications of complex signals and coherent signal processing.Signal Processing Noise sets forth a generalized approach to signal processing in multiplicative and additive noise that represents a remarkable advance in signal processing and detection theory. This approach extends the boundaries of the noise immunity set by classical and modern signal processing theories, and systems constructed on this basis achieve better detection performance than that of systems currently in use. Featuring the results of the author's own research, the book is filled with examples and applications, and each chapter contains an analysis of recent observations obtained by computer modelling and experiments.Tables and illustrations clearly show the superiority of the generalized approach over both classical and modern approaches to signal processing noise. Addressing a fundamental problem in complex signal processing systems, this book offers not only theoretical development, but practical recommendations for raising noise immunity in a wide range of applications.

Classical and modern theories have given us a degree of noise immunity by defining the sufficient statistic of the mean of the likelihood function. The generalized theory moves beyond these limitations to determine the jointly sufficient statistics of the mean and variance of the likelihood function.Signal and Image Processing in Navigational Systems introduces us to the generalized approach, and then delves rigorously into the theory and practical applications of this approach. This volume represents the most in-depth discussion of the generalized approach to date, providing many examples and computer models to demonstrate how this approach raises the upper limits of noise immunity for navigation systems, leading to better detection performances.This book is vital for signal and image processing experts, radar, communications, acoustics, and navigational systems designers, as well as professionals in the fields of statistical pattern recognition, biomedicine, astronomy, and robotics who wish to extend the boundaries of noise immunity and improve qualitative performance of their systems.

Automated target tracking is a necessary function of airborne radar and radio control systems. At the present time, there is no classified approach to design and construct principles, functioning features, methods, algorithms, and procedures of synthesis and analysis of airborne radar target tracking systems by the range, velocity, and azimuth, satisfying all long‑term requirements. The first volume, Target Tracking by Airborne Radar Systems: Airborne Radar Systems and Single Target Tracking is intended to cover the demands of this uncertainty.Key Features:Contains factual information about the current status of automated airborne radar target tracking systems, which will be useful for a wide range of expert participants in and out of the uniform, radio engineers, radar engineers and designers, and others Deals with several new perspective methods of the synthesis, analysis, and designing of airborne radar target tracking systems Discusses new theoretical approaches to design airborne radar target tracking systems Deals with the general theoretical problems of synthesis and analysis of information-controlledsystems based on the modified statistical theory of optimal control and estimation, not just classical theory Presents general information about the integrated on‑board and control systems and possibleways to improve the airborne radar target tracking system’s performance Additionally, there are many application examples confirming the theoretical results. Under discussion of the specific algorithms of the airborne radar target tracking system operation, great attention is paid to the methods of synthesis and analysis of the suggested algorithms.The procedure of algorithmic realizations is delivered in detail, which will be useful without any doubt for radio and radar engineers, radar experts, and MS and PhD students. Much attention is paid to the design problems of new airborne radar system generation and analysis of operation principles and modes.

Automated target tracking is a necessary function of airborne radar and radio control systems. At the present time, there is no classified approach to design and construct principles, functioning features, methods, algorithms, and procedures of synthesis and analysis of airborne radar target tracking systems by the range, velocity, and azimuth, satisfying all long‑term requirements. The second volume, Target Tracking by Airborne Radar Systems: Fundamentals of Multitarget Tracking, is intended to cover the demands of uncertainty in multipurpose air and surface target tracking.Features: Contains factual information about the current status of automated airborne radar target tracking systems, useful for a wide range of experts including military and civilian personnel, radio engineers, radar designers, and others Provides several new perspectives on methods of synthesis, analysis, and design of airborne radar target tracking systems Presents examples of how to practice implementation Presents general information about the procedures to design and construct specific targettracking algorithms and to study their working capacity Describes multipurpose air and surface target tracking modes employed by monostatic and multistatic airborne radar systems when targets are present in both resolved and unresolved groups Detailed algorithmic implementation procedures are provided, offering valuable guidance for radio and radar engineers, radar experts, and MS and PhD students.

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the definition of signal parameters. Signal Processing in Radar Systems addresses robust signal processing problems in complex radar systems and digital signal processing subsystems. It also tackles the important issue of defining signal parameters.The book presents problems related to traditional methods of synthesis and analysis of the main digital signal processing operations. It also examines problems related to modern methods of robust signal processing in noise, with a focus on the generalized approach to signal processing in noise under coherent filtering. In addition, the book puts forth a new problem statement and new methods to solve problems of adaptation and control by functioning processes. Taking a systems approach to designing complex radar systems, it offers readers guidance in solving optimization problems. Organized into three parts, the book first discusses the main design principles of the modern robust digital signal processing algorithms used in complex radar systems. The second part covers the main principles of computer system design for these algorithms and provides real-world examples of systems. The third part deals with experimental measurements of the main statistical parameters of stochastic processes. It also defines their estimations for robust signal processing in complex radar systems. Written by an internationally recognized professor and expert in signal processing, this book summarizes investigations carried out over the past 30 years. It supplies practitioners, researchers, and students with general principles for designing the robust digital signal processing algorithms employed by complex radar systems.