Introduction to radar using Python and MATLAB / Andy Harrison

By:

Harrison, Andy [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Artech House radar seriesPublisher: Norwood, MA : Artech House, [2020]Description: 1 Online-Ressource : illustrationsISBN:

1630815993
9781630815998

Subject(s):

Additional physical formats: 9781630815974 | 1630815977 | Erscheint auch als: Introduction to radar using Python and MATLAB. Druck-Ausgabe Boston : Artech House, 2020. xv, 474 SeitenDDC classification:

621.3848

LOC classification:

TK6575

Online resources:

Zugang im Netz des KIT

Summary: 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 CountermeasuresSummary: 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 discriminationPPN: PPN: 1755160453Package identifier: Produktsigel: BSZ-4-NLEBK-KAUB | ZDB-4-EBA | ZDB-4-NLEBK

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