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Introduction to radar using Python and MATLAB /
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 filte...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Norwood, MA :
Artech House,
[2020]
|
| Colección: | Artech House radar library.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Harrison, Andy |q (Lee Andrew), |e author. | |
| 245 | 1 | 0 | |a Introduction to radar using Python and MATLAB / |c Andy Harrison |
| 264 | 1 | |a Norwood, MA : |b Artech House, |c [2020] | |
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| 490 | 1 | |a Artech House radar series | |
| 588 | 0 | |a Print version record | |
| 504 | |a Includes bibliographical references and index | ||
| 520 | |a 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 | ||
| 505 | 0 | |a Chapter 1 Introduction -- Chapter 2 Electromagnetic Fields and Waves -- Chapter 3 Antenna Systems -- Chapter 4 The Radar Range Equation -- Chapter 5 Radar Receivers -- Chapter 6 Target Detection -- Chapter 7 Radar Cross Section -- Chapter 8 Pulse Compress -- Chapter 9 Target Tracking -- Chapter 10 Tomographic Synthetic Aperture Radar -- Chapter 11 Countermeasures | |
| 590 | |a Knovel |b ACADEMIC - Aerospace & Radar Technology | ||
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| 630 | 0 | 0 | |a MATLAB. |
| 630 | 0 | 7 | |a MATLAB |2 fast |0 (OCoLC)fst01365096 |
| 650 | 0 | |a Radar |v Software. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Radar |v Logiciels. | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 650 | 7 | |a Radar. |2 fast |0 (OCoLC)fst01086712 | |
| 655 | 7 | |a Software. |2 fast |0 (OCoLC)fst01411640 | |
| 776 | 0 | 8 | |i Print version: |a Harrison, Lee Andrew (Andy). |t Introduction to Radar Using Python and MATLAB. |d Norwood : Artech House, ©2019 |z 9781630815974 |
| 830 | 0 | |a Artech House radar library. | |
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| 938 | |a IEEE |b IEEE |n 9098756 | ||
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