Utilizing I/Q data to enhance radar detection and accuracy metrics
Name
1128277010-MIT.pdf
Size
1.8 MB
Format
Adobe PDF
Checksum (MD5)
33d6a55e67bac810370e488501ea18d3
Author(s)
Velez, Alexandria.
Advisor(s)
John N. Tsitsiklis and Josh Erling.
Alternative Title
Utilizing In-phase and quadrature data to enhance radar detection and accuracy metrics
Date Issued
2019
Publisher
Massachusetts Institute of Technology
Abstract
The incorporation of advanced digital processing technologies including high-bandwidth networks, low-cost commercial components, and advanced FPGAs into novel radio frequency (RF) sensors has resulted in significantly increased sensor capabilities while at the same time dramatically increasing the size of the data associated with test events. This work focuses on the development of management tools to analyze these large datasets to increase overall situational awareness and as a result, sensor performance which requires the development of advanced algorithms designed to address data decimation, parallelization of processing, and novel detection and filtering techniques among others. These algorithms are developed and optimized through post-processing existing MIT-LL sensor data in MATLAB.
Description
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 55-56).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
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