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dc.contributor.advisorYeary, Mark
dc.contributor.authorSummers, Randall
dc.date.accessioned2021-12-17T22:15:47Z
dc.date.available2021-12-17T22:15:47Z
dc.date.issued2021-12-17
dc.identifier.urihttps://hdl.handle.net/11244/332392
dc.description.abstractAs demands for increased radio frequency system performance have grown over time, sufficiently mitigating the distortion introduced by high power amplifiers has proven to be a major challenge to overcome. Digital predistortion is one technique commonly used to reduce the distortion products seen at the output of amplifiers, to great effect. While some of the most widely used predistortion algorithms to date may seem most applicable to waveforms with properties most commonly seen in wireless communication systems, it will be seen that with some specialization, these methods can be quite applicable to linear frequency-modulated pulse radar waveforms. In this thesis, a frequency-domain approach to parameter estimation is presented, and a simple window-based approach to predistortion of wideband linear frequency-modulated pulses is also explored. To test the performance of these predistortion algorithms, a modular radar signal processing FPGA testbench architecture is discussed. Finally, a software defined radio was used to measure the performance of the algorithms discussed in this thesis, and a significant improvement in the peak range sidelobe level was observed. These results enable the integration of digital predistortion into modern radar systems with minimal computational overhead to correct radar pulse envelope distortion.en_US
dc.languageen_USen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPredistortionen_US
dc.subjectSoftware Defined Radioen_US
dc.subjectRadaren_US
dc.titleDigital predistortion of wideband radar waveformsen_US
dc.contributor.committeeMemberSigmarsson, Hjalti
dc.contributor.committeeMemberMcDaniel, Jay
dc.date.manuscript2021-12-17
dc.thesis.degreeMaster of Scienceen_US
ou.groupGallogly College of Engineering::School of Electrical and Computer Engineeringen_US


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International