Signal Processing in Radar Systems / Edition 1

by Vyacheslav Tuzlukov

Overview

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.

Product Details

ISBN-13:	9781138075467
Publisher:	Taylor & Francis
Publication date:	05/03/2017
Pages:	632
Product dimensions:	7.00(w) x 10.00(h) x (d)

About the Author

Dr. Vyacheslav Tuzlukov is currently a full professor in the Department of Information Technologies and Communication, School of Electronics Engineering, College of IT Engineering, Kyungpook National University, Daegu, South Korea. He is an author of over 170 journal and conference papers and eight books on signal processing, including Signal Processing Noise (CRC Press, 2002) and Signal and Image Processing in Navigational Systems (CRC Press, 2004). He is a keynote speaker, chair of sessions, tutorial instructor, and plenary speaker at major international conferences on signal processing. Dr. Tuzlukov has been highly recommended by U.S. experts of Defense Research and Engineering (DDR&E) of the United States Department of Defense (U.S. DoD) for his expertise in the field of humanitarian demining and minefield-sensing technologies and was awarded the Special Prize of the U.S. DoD in 1999. His achievements have distinguished him as one of the leading experts from around the world by Marquis Who’s Who.

Table of Contents

Introduction. Part I Design of Radar Digital Signal Processing and Control Algorithms: Principles of Systems Approach to Design Complex Radar Systems. Signal Processing by Digital Generalized Detector in Complex Radar Systems. Digital Interperiod Signal Processing Algorithms. Algorithms of Target Range Track Detection and Tracking. Filtering and Extrapolation of Target Track Parameters Based on Radar Measure. Principles of Control Algorithm Design for Complex Radar System Functioning at Dynamical Mode. Part II Design Principles of Computer System for Radar Digital Signal Processing and Control Algorithms: Design Principles of Complex Algorithm Computational Process in Radar Systems. Design Principles of Digital Signal Processing Subsystems Employed by Complex Radar System. Digital Signal Processing Subsystem Design (Example). Global Digital Signal Processing System Analysis. Part III Stochastic Processes Measuring in Radar Systems: Main Statements of Statistical Estimation Theory. Estimation of Mathematical Expectation. Estimation of Stochastic Process Variance. Estimation of Probability Distribution and Density Functions of Stochastic Process. Estimate of Stochastic Process Frequency-Time Parameters. Notation Index. Index.