Dual-polarization multi-frequency radar data processing for moving target detection

Master thesis (2021)

Authors

H. Gong Electrical Engineering, Mathematics and Computer Science

Contributors

Alexander Yarovoy Microwave Sensing, Signals & Systems - EEMCS (mentor)
N. Petrov Microwave Sensing, Signals & Systems - EEMCS (mentor)
R.C. Hendriks Signal Processing Systems - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2021 Huaiyang Gong
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Published Date

15-11-2021

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This project develops and tests algorithms for joint signal processing of data from two radars located on the rooftop of EWI (PARSAX and MESEWI). The particular tasks consist of automatic alignment of radar data in space (2D map) and time by observing moving targets of opportunity in the high-resolution mode. After the data alignment procedure, the detection algorithms for optimal fusing of dual-polarization and multi-frequency data are proposed. The detection results are considered the input for moving target (an auto) tracking and its signature extraction. The developed techniques were tested on the data records in experimental scenarios.

Files

Thesis_H_Gong.pdf
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