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i i i i i i i i i i i i i i i i i Page i PerformancecomparisonbetweenconventionalandmodifiedRangeDopplerAlgorithminrealtime i i i i i i i i i i i applications i __________________________________________________________________________________________" }, { "path": "references.6.key", "from": null, "to": "ref7" }, { "path": "references.6.unstructured", "from": null, "to": "iCaner iOzdemir, i“Inverse iSynthetic iAperture iRadar iImaging iWith iMatlab iAlgorithms”. iWiley iSeries iIn iMicrowave iAnd iOptical i i i i iEngineering" }, { "path": "references.7.key", "from": null, "to": "ref8" }, { "path": "references.7.unstructured", "from": null, "to": "iY.K.Chan iand iV.C.Koo i, i“An iIntroduction iTo iSynthetic iAperture iRadar i(SAR)”. i i[9] iBhuvan, iIndian iGeo-platform iof iISRO" }, { "path": "references.8.key", "from": null, "to": "ref9" }, { "path": "references.8.unstructured", "from": null, "to": "iMichel iMisiti., iYves iMisiti., iGeorges iOppenheim., iJean-Michel iPoggi iWavelet 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Moving target detection, imaging, and velocity estimation using raw data are active research fields with civilian and military applications. The synthetic aperture radar endures from the image degradation because of phase errors present in the received signal. These phase errors give rise to poor focus quality, spurious targets, loss of resolution and erroneous velocities. The primary objective of the paper is to produce a high-resolution image of the targets and the moving targets motion estimation present in the scene in the presence of phase errors. The modified range-Doppler algorithm performs the range migration correction and the focus filtering with the wavelet decomposition to improve the resolution of the target image. The parameters extracted from the range migration correction and azimuth filtering is used to estimate the moving target velocity. The modified RDA using Sym8 wavelet decomposition levels with AOPM for moving target velocity estimation of SAR image have the average percentage of accuracy is 1.99. This proposed RDA method gives the close approximation to the actual velocity value and also improves the focus quality of the target image when compared with the conventional RDA.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2019-05-01", "applies_to": "vor" }, "references": [ { "key": "ref1", "unstructured": "iCurlander, iJ.C., iand iMcDonough, iR.N.,“ iSynthetic iAperture iRadar: isystems iand isignal iprocessing”. iNew iYork, iNY: iJohn iWiley i& i i iSons, i1991" }, { "key": "ref2", "doi": "10.1109/36.298008", "unstructured": "iR.K.Raney, iH.Runge, iR.Bamler, iG.Cumming,, iand iF.H.Wong., i‘Precision iSAR iProcessing iUsing iChirp iScaling’,IEEE iTransactions i ion iGeoscience, iremote iSens., ivol.32, ino.4,pp.786-799 i,july. i1994" }, { "key": "ref3", "doi": "10.1109/36.158864", "unstructured": "iR.Bamler, i“Acomparison iof irange-doppler iand iwave inumber i domain iSAR ifocusing ialgorithms”. iIEEE iTransactions ion iGeosci, 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i i i i i i Page i PerformancecomparisonbetweenconventionalandmodifiedRangeDopplerAlgorithminrealtime i i i i i i i i i i i applications i __________________________________________________________________________________________" }, { "key": "ref7", "unstructured": "iCaner iOzdemir, i“Inverse iSynthetic iAperture iRadar iImaging iWith iMatlab iAlgorithms”. iWiley iSeries iIn iMicrowave iAnd iOptical i i i i iEngineering" }, { "key": "ref8", "unstructured": "iY.K.Chan iand iV.C.Koo i, i“An iIntroduction iTo iSynthetic iAperture iRadar i(SAR)”. i i[9] iBhuvan, iIndian iGeo-platform iof iISRO" }, { "key": "ref9", "unstructured": "iMichel iMisiti., iYves iMisiti., iGeorges iOppenheim., iJean-Michel iPoggi iWavelet iToolbox, iFor iUse iWith iMATLAB i i i i i" }, { "key": "ref10", "unstructured": "iR. iP. iBocker, iT. iB. iHenderson, iS. iA. iJones, iand iB. iR. iFrieden, i“A inew iinverse isynthetic iaperture iradar ialgorithm ifor itranslational imotion icompensation,” iProc. iSPIE, ivol. i1569, ipp. i298–310, i1991. i[17] iX. iLi, iG. iLiu, iand iJ. iNi, i“Autofocusing iof iISAR iimages ibased ion ientropy iminimization,” iIEEE iTrans. iAerosp. iElectron. iSyst., ivol. i35, ino. i4, ipp. i1240–1251, iOct. i1999. i" }, { "key": "ref11", "unstructured": "iI. iHemalatha, iP. iV. iSridevi., i“Optimization iof iphase iresponse iof ifocus ifilter iin isar iimaging”. iIJAERD, iVol. i5, ino. i4, iApril i-2018. i" }, { "key": "ref12", "unstructured": "iX. iWang, iR. iWang, iN. iLi, iH. iFan, iand iY. iWang, i“A imethod iof iestimating ithe ivelocity iof imoving itargets ifor iuse iin ihigh-resolution iwide-swath iSAR iimaging,” iRemote iSens. iLett., ivol. i9, ino. i4, ipp. i305–313, iApr. i2018" }, { "key": "ref13", "unstructured": "iT. iJin, iX. iQiu, iD. iHu, iand iC. iDing, i“An iML-Based iRadial iVelocity iEstimation iAlgorithm ifor iMoving iTargets iin iSpaceborne iHigh-Resolution iand iWide-Swath iSAR iSystems,” iRemote iSens., ivol. i9, ino. i5, ip. i404, iApr. i2017. i 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i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i i Page i i __________________________________________________________________________________________" }, { "key": "ref17", "unstructured": "iT. iCelik iand iT. iTjahjadi, i“Image iResolution iEnhancement iUsing iDual-Tree iComplex iWavelet iTransform,” iIEEE iGeosci. iRemote iSens. iLett., ivol. i7, ino. i3, ipp. i554–557, iJul. i2010" }, { "key": "ref18", "unstructured": "iH. iDemirel, iC. iOzcinar, iand iG. iAnbarjafari, i“Satellite iImage iContrast iEnhancement iUsing iDiscrete iWavelet iTransform iand iSingular iValue iDecomposition,” iIEEE iGeosci. iRemote iSens. iLett., ivol. i7, ino. i2, ipp. i333–337, iApr. i2010" }, { "key": "ref19", "unstructured": "iM. iZ. iIqbal, iA. iGhafoor, iand iA. iM. iSiddiqui, i“Satellite iImage iResolution iEnhancement iUsing iDual-Tree iComplex iWavelet iTransform iand iNonlocal iMeans,” iIEEE iGeosci. iRemote iSens. iLett., ivol. i10, ino. i3, ipp. i451–455, iMay i2013. i" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-09-07", "updated": "2026-09-28", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "url_after": "https://www.jst.org.in/index.php/pub/article/view/87", "sha256_before": null, "sha256_after": "f03daefc24f3f9b4a7b4d7ec66db4c809aff7ecd53f1a9db6c60339ed792864a" }, { "seq": 2, "kind": "update", "at": "2026-09-29 23:59:52", "by": "Administrator (admin)", "by_kind": "user", "note": "record re-read from api.crossref.org", "changes": [ { "path": "container.titles.0.value", "from": "Journal of Science & Technology", "to": "Journal of Science & Technology" } ], "record_after": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jstj.2019.v4.i3.92", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Performance comparison between conventional and modified Range Doppler Algorithm in real time applications", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jstj.2019.v4.i3.92" } ], "agents": [ { "role": "author", "name": { "given": "", "family": "I. Hemalatha" }, "sequence": "first", "affiliations": [ { "name": "SirCRReddyCollegeofEngineering, Eluru, DepartmentofECE, hemacrr2006@gmail.com" } ] }, { "role": "author", "name": { "given": "", "family": "P. V. Sridevi" }, "sequence": "additional", "affiliations": [ { "name": "AndhraUniversity, CollegeofEngineering(A), Visakhapatnam, DepartmentofECE" } ] }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2019-05-01", "date_type": "PublicationDate", "online": "2019-05-01" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "04", "issue": "03", "pages": { "first": "01", "last": "13" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/87", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/87/3893", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/87/3263", "purpose": "text-mining", "return_type": "application/xml" } ], "abstract": { "value": "Synthetic aperture radar is an active remote sensing approach that transmits the known wavelength signal and measures the reflected wave from the scene. Moving target detection, imaging, and velocity estimation using raw data are active research fields with civilian and military applications. The synthetic aperture radar endures from the image degradation because of phase errors present in the received signal. These phase errors give rise to poor focus quality, spurious targets, loss of resolution and erroneous velocities. The primary objective of the paper is to produce a high-resolution image of the targets and the moving targets motion estimation present in the scene in the presence of phase errors. The modified range-Doppler algorithm performs the range migration correction and the focus filtering with the wavelet decomposition to improve the resolution of the target image. The parameters extracted from the range migration correction and azimuth filtering is used to estimate the moving target velocity. The modified RDA using Sym8 wavelet decomposition levels with AOPM for moving target velocity estimation of SAR image have the average percentage of accuracy is 1.99. This proposed RDA method gives the close approximation to the actual velocity value and also improves the focus quality of the target image when compared with the conventional RDA.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2019-05-01", "applies_to": "vor" }, "references": [ { "key": "ref1", "unstructured": "iCurlander, iJ.C., iand iMcDonough, iR.N.,“ iSynthetic iAperture iRadar: isystems iand isignal iprocessing”. iNew iYork, iNY: iJohn iWiley i& i i iSons, i1991" }, { "key": "ref2", "doi": "10.1109/36.298008", "unstructured": "iR.K.Raney, iH.Runge, iR.Bamler, iG.Cumming,, iand iF.H.Wong., i‘Precision iSAR iProcessing iUsing iChirp iScaling’,IEEE iTransactions i ion iGeoscience, iremote iSens., ivol.32, ino.4,pp.786-799 i,july. i1994" }, { "key": "ref3", "doi": "10.1109/36.158864", "unstructured": "iR.Bamler, i“Acomparison iof irange-doppler iand iwave inumber i domain iSAR ifocusing ialgorithms”. iIEEE iTransactions ion iGeosci, 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