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dc.contributor.advisorRobertson, Duncan Alexander
dc.contributor.advisorSmith, Graham Murray
dc.contributor.authorCassidy, Scott L.
dc.coverage.spatialxiii, 169 p.en_US
dc.date.accessioned2015-11-26T16:51:39Z
dc.date.available2015-11-26T16:51:39Z
dc.date.issued2015-11-30
dc.identifieruk.bl.ethos.675216
dc.identifier.urihttps://hdl.handle.net/10023/7856
dc.description.abstractThis thesis presents a body of work on the theme of millimetre-wave FMCW radar, for the purposes of security screening and remote sensing. First, the development of an optimised software radar signal processor will be outlined. Through use of threading and GPU acceleration, high data processing rates were achieved using standard PC hardware. The flexibility of this approach, compared to specialised hardware (e.g. DSP, FPGA etc…), allowed the processor to be rapidly adapted and has produced a significant performance increase in a number of advanced real-time radar systems. An efficient tracker was developed and was successfully deployed in live trials for the purpose of real-time wave detection in an autonomous boat control system. Automated radar operation and remote data telemetry functions were implemented in a terrain mapping radar to allow continuous monitoring of the Soufrière Hills volcano on the Caribbean island of Montserrat. This work concluded with the installation of the system 3 km from the volcano. Hardware modifications were made to enable coherent measurement in a number of existing radar systems, allowing phase sensitive measurements, including range-Doppler, to be performed. Sensitivity to displacements of less than 200 nm was demonstrated, which is limited by the phase noise of the system. Efficient compensation techniques are presented which correct for quadrature mixer imbalance, FMCW chirp non-linearity, and scanner drive distortions. In collaboration with the Home Office, two radar systems were evaluated for the stand-off detection of concealed objects. Automatic detection capability, based on polarimetric signatures, was developed using data gathered under controlled conditions. Algorithm performance was assessed through blind testing across a statistically significant number of subjects. A detailed analysis is presented, which evaluates the effect of clothing and object type on detection efficiency.en_US
dc.language.isoenen_US
dc.publisherUniversity of St Andrews
dc.subjectRadaren_US
dc.subjectMillimetre waveen_US
dc.subjectSub-millimetreen_US
dc.subjectFMCWen_US
dc.subjectCoherenten_US
dc.subjectDoppleren_US
dc.subjectVibrometryen_US
dc.subjectChirp nonlinearityen_US
dc.subjectPhase noiseen_US
dc.subjectImagingen_US
dc.subjectConcealed object detectionen_US
dc.subjectAnomaly detectionen_US
dc.subjectPolarisationen_US
dc.subjectRemote sensingen_US
dc.subjectTrackingen_US
dc.subjectSignal processingen_US
dc.subjectThreadingen_US
dc.subjectGPUen_US
dc.subject.lccTK6592.C65C2
dc.subject.lcshContinuous wave radaren_US
dc.subject.lcshRemote sensingen_US
dc.subject.lcshScanning systemsen_US
dc.subject.lcshSecurity systems--Remote sensingen_US
dc.titleMillimetre-wave FMCW radar for remote sensing and security applicationsen_US
dc.typeThesisen_US
dc.contributor.sponsorNatural Environment Research Council (NERC)en_US
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US


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