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Introduction to Radar Using Python and MATLAB

By: Lee Andrew Harrison (Author)

2 in stock

Ksh 29,050.00

Format: Hardback or Cased Book

ISBN-10: 1630815977

ISBN-13: 9781630815974

Edition statement: Unabridged

Publisher: Artech House Publishers

Imprint: Artech House Publishers

Country of Manufacture: US

Country of Publication: GB

Publication Date: Oct 31st, 2019

Publication Status: Active

Product extent: 464 Pages

Weight: 852.00 grams

Dimensions (height x width x thickness): 23.30 x 16.20 x 3.40 cms

Product Classification / Subject(s): Radar

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  • Reviews

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.

 "A well-constructed and concisely written book, incorporating a balanced combination of textual explanations and well-presented mathematical descriptions, which serves both as an introduction to many important aspects of radar but also as an extensive exercise in the usage and application of both the MATLAB and Python programming applications. It is eminently readable and understandable. I assess that it is probably most relevant to post graduate student scientists and engineers requiring a moderately detailed understanding of aspects of radar with a view to practical applications”Aerospace Magazine This comprehensive resource provides readers with the tools necessary to perform analysis of various waveforms for use in radar systems. It provides information about how to produce synthetic aperture (SAR) images by giving a tomographic formulation and implementation for SAR imaging. Tracking filter fundamentals, and each parameter associated with the filter and how each affects tracking performance are also presented. Various radar cross section measurement techniques are covered, along with waveform selection analysis through the study of the ambiguity function for each particular waveform from simple linear frequency modulation (LFM) waveforms to more complicated coded waveforms.  The text includes the Python tool suite, which allows the reader to analyze and predict radar performance for various scenarios and applications. Also provided are MATLAB® scripts corresponding to the Python tools. The software includes a user-friendly graphical user interface (GUI) that provides visualizations of the concepts being covered. Users have full access to both the Python and MATLAB source code to modify for their application. With examples using the tool suite are given at the end of each chapter, this text gives readers a clear understanding of how important target scattering is in areas of target detection, target tracking, pulse integration, and target discrimination.

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