Introduction to Radar Using Python - Hardcover

Harrison, Andy

Hardcover

ISBN 10: 1630815977 ISBN 13: 9781630815974

Publisher: Artech House Publishers, 2019

Synopsis

Provides readers with the necessary tools to analyze waveforms for use in radar systems, how to produce synthetic aperture radar (SAR) images by giving a tomographic formulation and implementation, and how tracking-filter parameters affect tracking performance.

About this title

Review

Dr. Harrison has put forward a future classic. A compendium on the subject of Radar. It provides enough background in Electromagnetic Theory including propagation, reflection, and radiation to help readers in other related areas of Radar technology such as signal processing and electronics. While the book is ideal for an introductory graduate level radar class, the text can be used as a desk reference by the seasoned engineer looking for quick information. --Vince Rodriguez, Ph.D. AMTA Fellow, ACES Fellow Staff Engineer, NSI-MI Technologies, LLC.

One of the best radar references I have ever come across; an outstanding blend of both theoretical and practical applications for all levels. Each chapter provides the detailed radar theory to grow the knowledge of the reader, followed by numerous examples of real-world radar problems, solved using the provided Python and Matlab scripts. Every problem is clearly defined and solved in an easy to understand fashion. --Earl Reed Chief Systems Engineer, deciBel Research, Inc.

This book provides a broad coverage of radar topics from basic concepts to recent developments in advanced waveforms, processing techniques and RF countermeasures. Dr. Harrison provides excellent references to allow the reader to explore topics at deeper levels if desired. The questions at the end of the chapters provide great review and reinforce the understanding of the topics covered. Finally, the examples provided in both MATLAB and Python are extremely beneficial and can form the basis for a suite of tools that are useful in the practical application of the concepts. The inclusion of Python is especially helpful as it provides an open source path to leverage the example code and to visualize the results. This book is a great reference for students and practitioners alike. --Jeff Gronberg President/CEO deciBel Research, Inc

Edition details

• Publisher: Artech House Publishers
• Publication date: 2019
• Language: English
• ISBN 10: 1630815977
• ISBN 13: 9781630815974
• Binding: Hardcover
• Number of pages: 464