Signal Processing in Radar Systems Hardback
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.
- Format: Hardback
- Pages: 632 pages, 2021; 13 Tables, black and white; 197 Illustrations, black and white
- Publisher: Taylor & Francis Inc
- Publication Date: 04/10/2012
- Category: Radar
- ISBN: 9781439826072