All-Weather Sense and Avoid (SAA) Radar Clutter Modeling and Control

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dc.contributor.advisorZhang, Yan
dc.contributor.authorGilliam, Matthew
dc.contributor.committeeMemberMetcalf, Justin
dc.contributor.committeeMemberHomeyer, Cameron
dc.date.accessioned2020-12-18T20:04:05Z
dc.date.available2020-12-18T20:04:05Z
dc.date.issued2020-12-18
dc.date.manuscript2020-12-10
dc.description.abstractThe background of this thesis is related to the enhancement and optimization of the Pulsed-Doppler Radar sensor for the need of Detect and Avoid (DAA), or Sense and Avoid (SAA), for both weather and air-traffic (collision aircraft) detection and monitoring. Such radars are used in both manned and unmanned aircraft for the situation awareness of pilot navigation operations. The particular focus of this study is to develop a simulation model that is based on MATLAB's phased array toolbox and use that simulation model to predict the performance of an end-to-end radar signal processing chain for all-weather, multi-mission DAA. To achieve this goal, we developed an airborne system model based on MATLAB toolboxes, NASA’s airborne radar flight test data, and NEXRAD radar data. The measured data from airborne and ground-based radars are used as the “truth field” for the weather. During the modeling and verification process, we primarily investigated the impact of ground or surface clutters on the radar outputs and results, which include the testing of the constant-gamma model using actual measured radar data and improved system and sensor modeling based on the clutter geometry. Evaluation of various moving target indication (MTI) techniques were tested with the simulation model.en_US
dc.identifier.urihttps://hdl.handle.net/11244/326649
dc.languageen_USen_US
dc.subjectAirborne Radar Weather Signal Processingen_US
dc.subjectAirborne Weather Radar Simulationen_US
dc.subjectRadar Signal Processingen_US
dc.subjectAirborne Sense and Avoiden_US
dc.thesis.degreeMaster of Scienceen_US
dc.titleAll-Weather Sense and Avoid (SAA) Radar Clutter Modeling and Controlen_US
ou.groupGallogly College of Engineering::School of Electrical and Computer Engineeringen_US

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