Thesis Details

Radar Signal Processing for Radio Altimeter

Master's Thesis Student: Krasňanský Milan Academic Year: 2016/2017 Supervisor: Zemčík Pavel, prof. Dr. Ing.
Czech title
Radar Signal Processing for Radio Altimeter
Language
English
Abstract

This diploma thesis deals with designing and implementation of an algorithm for frequency--modulated continuous--wave radar signal processing. The goal is to implement an algorithm, which would be sufficiently fast (real--time capability on the target platform) and sufficiently accurate for its usage in the radio altimeter in the light aircraft, especially during the landing manoeuvre. The main signal processing method used in the implementation is the Discrete Fourier Transform. The created algorithm has been tested on the real flight data and achieved satisfactory results for the landing manoeuvre.

Keywords

signal processing, frequency modulation, radar, radio altimeter, discrete Fourier transform

Department
Degree Programme
Information Technology, Field of Study Computer Graphics and Multimedia
Files
Status
defended, grade B
Date
20 June 2017
Reviewer
Committee
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Holub Jan, prof. Ing., Ph.D. (FIT CTU), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
KRASŇANSKÝ, Milan. Radar Signal Processing for Radio Altimeter. Brno, 2017. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-20. Supervised by Zemčík Pavel. Available from: https://www.fit.vut.cz/study/thesis/17508/
BibTeX
@mastersthesis{FITMT17508,
    author = "Milan Kras\v{n}ansk\'{y}",
    type = "Master's thesis",
    title = "Radar Signal Processing for Radio Altimeter",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/17508/"
}
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