Time-Frequency Signal Processing Techniques for Radar Remote Sensing
Open Access
Author:
Wen, Chun-Hsien
Graduate Program:
Electrical Engineering
Degree:
Doctor of Philosophy
Document Type:
Dissertation
Date of Defense:
January 28, 2005
Committee Members:
John F Doherty, Committee Chair/Co-Chair John David Mathews, Committee Member Victor P Pasko, Committee Member Aleksander Wolszczan, Committee Member
Keywords:
meteor detection signal processing
Abstract:
The Arecibo 430 MHz Incoherent Scatter Radar (ISR) has been used to observe the vertical ionospheric electron concentration profiles for many years. Earlier studies are dated back to 1970s. The meteor observations grew from the ISR observations of the ionosphere in the last 10 years. The techniques for meteor observation have evolved significantly since then. It has become a regular observation at Arecibo Observatory (AO). In this work we introduce signal processing techniques to detect meteor events and determine their parameters for the meteor observation data. We also propose techniques to separate the meteor and the incoherent scatter signals for the ISR observation data.
The large aperture AO radar is susceptible to the interference from other communication systems because of its sensitivity. The interference contaminates the radar data and sometimes seriously degrades the performance of the meteor detection. We introduce signal processing techniques to remove the interference for both the meteor and the ISR observation data in this work. Other applications for proposed techniques are introduced in this work too.
