Detail View

Low-Complexity Range-Azimuth FMCW Radar Sensor Using Joint Angle and Delay Estimation Without SVD and EVD
Citations

WEB OF SCIENCE

Citations

SCOPUS

Metadata Downloads

DC Field Value Language
dc.contributor.author Oh, Daegun -
dc.contributor.author Lee, Jong-Hun -
dc.date.available 2017-07-11T05:46:35Z -
dc.date.created 2017-04-10 -
dc.date.issued 2015-09 -
dc.identifier.issn 1530-437X -
dc.identifier.uri http://hdl.handle.net/20.500.11750/2852 -
dc.description.abstract A low complexity range-azimuth frequency-modulated continuous-waveform (FMCW) radar sensor using joint angle and delay estimation method without singular value decomposition (SVD) and eigenvalue decomposition (EVD) is presented in this paper. Conventional joint angle and delay estimation techniques exploit the dual-shift-invariant structure of received signals through matrix decompositions, such as SVD and EVD, which increases the computational burden. The proposed method utilizes the dual-shift-invariant structure through matrix inversion and performs angle and delay estimation using extended one-dimensional pseudospectrum searching instead of two-dimensional pseudospectrum searching to reduce the computational complexity. We demonstrate the effectiveness of the proposed method through Monte-Carlo simulations. The proposed algorithm is also verified by processing real FMCW data collected in an anechoic chamber. © 2015 IEEE. -
dc.language English -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title Low-Complexity Range-Azimuth FMCW Radar Sensor Using Joint Angle and Delay Estimation Without SVD and EVD -
dc.type Article -
dc.identifier.doi 10.1109/JSEN.2015.2428814 -
dc.identifier.wosid 000358648200012 -
dc.identifier.scopusid 2-s2.0-84960082516 -
dc.identifier.bibliographicCitation IEEE Sensors Journal, v.15, no.9, pp.4799 - 4811 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor FMCW -
dc.subject.keywordAuthor low complexity -
dc.subject.keywordAuthor range -
dc.subject.keywordAuthor azimuth -
dc.subject.keywordAuthor radar detection -
dc.subject.keywordPlus MATRICES -
dc.subject.keywordPlus Matrix Decomposition -
dc.subject.keywordPlus Monte Carlo Methods -
dc.subject.keywordPlus Multiple Signal Classification -
dc.subject.keywordPlus Noise -
dc.subject.keywordPlus One Dimensional -
dc.subject.keywordPlus PROPAGATOR METHOD -
dc.subject.keywordPlus Radar -
dc.subject.keywordPlus Radar Detection -
dc.subject.keywordPlus Radar Equipment -
dc.subject.keywordPlus Radar Systems -
dc.subject.keywordPlus RANGE -
dc.subject.keywordPlus SELECTION -
dc.subject.keywordPlus Sensors -
dc.subject.keywordPlus Signal -
dc.subject.keywordPlus Signal Processing -
dc.subject.keywordPlus Singular Value Decomposition -
dc.subject.keywordPlus SPECTRUM -
dc.subject.keywordPlus SYSTem -
dc.subject.keywordPlus Time Delay -
dc.subject.keywordPlus Wavelet Analysis -
dc.subject.keywordPlus ARRAY -
dc.subject.keywordPlus Azimuth -
dc.subject.keywordPlus Computational Burden -
dc.subject.keywordPlus Continuous Wave Radar -
dc.subject.keywordPlus Continuous Waveforms -
dc.subject.keywordPlus Data Handling -
dc.subject.keywordPlus Delay Estimation -
dc.subject.keywordPlus DIAGONALIZATION -
dc.subject.keywordPlus Eigenvalue Decomposition -
dc.subject.keywordPlus Eigenvalues and Eigenfunctions -
dc.subject.keywordPlus ESPRIT -
dc.subject.keywordPlus Estimation -
dc.subject.keywordPlus FMCW -
dc.subject.keywordPlus FREQUENCY -
dc.subject.keywordPlus Frequency Estimation -
dc.subject.keywordPlus Frequency Modulation -
dc.subject.keywordPlus Intelligent Systems -
dc.subject.keywordPlus Joint Angle and Delay Estimations -
dc.subject.keywordPlus Joints -
dc.subject.keywordPlus Joints (Structural Components) -
dc.subject.keywordPlus Low Complexity -
dc.citation.endPage 4811 -
dc.citation.number 9 -
dc.citation.startPage 4799 -
dc.citation.title IEEE Sensors Journal -
dc.citation.volume 15 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Engineering; Instruments & Instrumentation; Physics -
dc.relation.journalWebOfScienceCategory Engineering, Electrical & Electronic; Instruments & Instrumentation; Physics, Applied -
dc.type.docType Article -
Show Simple Item Record

File Downloads

  • There are no files associated with this item.

공유

qrcode
공유하기

Related Researcher

오대건
Oh, Daegun오대건

Division of Intelligent Robotics

read more

Total Views & Downloads