Please use this identifier to cite or link to this item: https://doi.org/10.3390/s19010087
DC FieldValue
dc.titleImaging for small UAV-borne FMCW SAR
dc.contributor.authorHu, X
dc.contributor.authorMa, C
dc.contributor.authorHu, R
dc.contributor.authorYeo, T.S
dc.date.accessioned2020-09-09T03:43:30Z
dc.date.available2020-09-09T03:43:30Z
dc.date.issued2019
dc.identifier.citationHu, X, Ma, C, Hu, R, Yeo, T.S (2019). Imaging for small UAV-borne FMCW SAR. Sensors (Switzerland) 19 (1) : 87. ScholarBank@NUS Repository. https://doi.org/10.3390/s19010087
dc.identifier.issn1424-8220
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/175095
dc.description.abstractUnmanned aerial vehicle borne frequency modulated continuous wave synthetic aperture radars are attracting more and more attention due to their low cost and flexible operation capacity, including the ability to capture images at different elevation angles for precise target identification. However, small unmanned aerial vehicles suffer from large trajectory deviation and severe range-azimuth coupling due to their simple navigational control and susceptibility to air turbulence. In this paper, we utilize the squint minimization technique to reduce this coupling while simultaneously eliminating intra-pulse motion-induced effects with an additional spectrum scaling. After which, the modified range doppler algorithm is derived for second order range compression and block-wise range cell migration correction. Raw data-based motion compensation is carried out with a doppler tracker. Squinted azimuth dependent phase gradient algorithm is employed to deal with azimuth dependent parameters and inexact deramping, with minimum entropy-based autofocusing algorithms. Finally, azimuth nonlinear chirp scaling is used for azimuth compression. Simulation and real data experiment results presented verify the effectiveness of the above signal processing approach. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.
dc.publisherMDPI AG
dc.sourceUnpaywall 20200831
dc.subjectAir navigation
dc.subjectAntennas
dc.subjectMotion compensation
dc.subjectRadar imaging
dc.subjectSynthetic aperture radar
dc.subjectSynthetic apertures
dc.subjectUnmanned aerial vehicles (UAV)
dc.subjectFMCW
dc.subjectFrequency-modulated continuous waves
dc.subjectIntra-pulse motion
dc.subjectModified range-Doppler algorithm
dc.subjectPhase gradient algorithms
dc.subjectRange cell migration correction
dc.subjectSmall unmanned aerial vehicles
dc.subjectSquinted azimuth-dependent PGA
dc.subjectFrequency modulation
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.3390/s19010087
dc.description.sourcetitleSensors (Switzerland)
dc.description.volume19
dc.description.issue1
dc.description.page87
dc.published.statePublished
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