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dc.contributor.author Kim, Bong-seok -
dc.contributor.author Jin, Youngseok -
dc.contributor.author Lee, Jonghun -
dc.contributor.author Kim, Sangdong -
dc.date.accessioned 2022-10-14T02:00:03Z -
dc.date.available 2022-10-14T02:00:03Z -
dc.date.created 2022-02-09 -
dc.date.issued 2022-02 -
dc.identifier.issn 1424-8220 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/16902 -
dc.description.abstract We propose a frequency-modulated continuous wave (FMCW) radar estimation algorithm with high resolution and low complexity. The fast Fourier transform (FFT)-based algorithms and multiple signal classification (MUSIC) algorithms are used as algorithms for estimating target parameters in the FMCW radar systems. FFT-based and MUSIC algorithms have tradeoff characteristics between resolution performance and complexity. While FFT-based algorithms have the advantage of very low complexity, they have the disadvantage of a low-resolution performance; that is, estimating multiple targets with similar parameters as a single target. On the other hand, subspace-based algorithms have the advantage of a high-resolution performance, but have a problem of very high complexity. In this paper, we propose an algorithm with reduced complexity, while achieving the high-resolution performance of the subspace-based algorithm by utilizing the advantages of the two algorithms; namely, the low-complexity advantage of FFT-based algorithms and the high-resolution performance of the MUSIC algorithms. The proposed algorithm first reduces the amount of data used as input to the subspace-based algorithm by using the estimation results obtained by FFT. Secondly, it significantly reduces the range of search regions considered for pseudo-spectrum calculations in the subspace-based algorithm. The simulation and experiment results show that the proposed algorithm achieves a similar performance compared with the conventional and low complexity MUSIC algorithms, despite its considerably lower complexity. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. -
dc.language English -
dc.publisher MDPI AG -
dc.title FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search Area -
dc.type Article -
dc.identifier.doi 10.3390/s22031202 -
dc.identifier.wosid 000759447000001 -
dc.identifier.scopusid 2-s2.0-85123942352 -
dc.identifier.bibliographicCitation Sensors, v.22, no.3 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordAuthor FMCW radar -
dc.subject.keywordAuthor estimation -
dc.subject.keywordAuthor super resolution -
dc.subject.keywordAuthor low complexity -
dc.subject.keywordAuthor search area -
dc.citation.number 3 -
dc.citation.title Sensors -
dc.citation.volume 22 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Chemistry; Engineering; Instruments & Instrumentation -
dc.relation.journalWebOfScienceCategory Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments & Instrumentation -
dc.type.docType Article -

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