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miami1306201663.pdf (972.94 KB)
ETD Abstract Container
Abstract Header
Radar Signal Characteristic Extraction with FFT-Based Techniques
Author Info
Pennington, Jason R.
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=miami1306201663
Abstract Details
Year and Degree
2011, Master of Science, Miami University, Computational Science and Engineering.
Abstract
This research project develops computationally efficient digital signal processing algorithms for digital wideband receivers to determine the existence of radar signals and, if radar signal(s) are present, extract in real time, pertinent signal characteristics such as frequency, signal power, modulation type, and pulse width. Unlike a conventional communication receiver, the digital wideband receiver algorithms considered in this project assume no a priori knowledge about the number of radar signals and their characteristics. Two types of radar signals, namely, pulsed continuous-wave (CW) and chirping signals, are considered in this thesis. Different techniques are exploited to optimize receiver performance. The receiver algorithms developed in this project can successfully detect multiple signals with different characteristics.
Committee
Chi-Hao Cheng, PhD (Advisor)
Donald Ucci, PhD (Committee Member)
Dmitriy Garmatyuk, PhD (Committee Member)
Pages
66 p.
Subject Headings
Electrical Engineering
;
Engineering
Keywords
FFT
;
DSP
;
autocorrelation
;
EW receiver
;
communication system
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Citations
Pennington, J. R. (2011).
Radar Signal Characteristic Extraction with FFT-Based Techniques
[Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1306201663
APA Style (7th edition)
Pennington, Jason.
Radar Signal Characteristic Extraction with FFT-Based Techniques.
2011. Miami University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=miami1306201663.
MLA Style (8th edition)
Pennington, Jason. "Radar Signal Characteristic Extraction with FFT-Based Techniques." Master's thesis, Miami University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1306201663
Chicago Manual of Style (17th edition)
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Document number:
miami1306201663
Download Count:
2,989
Copyright Info
© 2011, all rights reserved.
This open access ETD is published by Miami University and OhioLINK.