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dc.contributor.author Ju, Yeonghwan -
dc.contributor.author Kim, Sangdong -
dc.contributor.author Lee, Jonghun -
dc.date.accessioned 2018-01-25T01:19:17Z -
dc.date.available 2018-01-25T01:19:17Z -
dc.date.created 2017-09-11 -
dc.date.issued 2010-12-10 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/5552 -
dc.description.abstract Ultra wideband UWB radars in the 24 GHz domain are currently under development for many automotive applications. Automotive UWB radar is attractive for application in short range automotive radar systems using 22 to 29GHz in order to improve road safety and realize intelligent transportation. By employing a direct conversion receiver, automotive UWB radar is able to meet size and cost reduction requirements. Direct conversion architecture poses a dc-offset problem, which corrupts velocity ambiguity in automotive UWB radar. In this paper, we proposed a mean-padding method to reduce zero-padding FFT error due to dc-offset in automotive UWB radar using direct conversion receiver. Zero-padding degrades vehicular velocity measurement probability. The results of computer simulation and experimentation using the designed RF module of the automotive UWB radar show that the presented method achieves a better velocity measurement probability. © 2010 Japan Society for Fuzzy Theory and Intelligent Informatics -
dc.language English -
dc.publisher Japan Society for Fuzzy Theory and intelligent informatics (SOFT) -
dc.relation.ispartof Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010 -
dc.title Velocity measurement improvement method for automotive UWB radar -
dc.type Conference Paper -
dc.identifier.doi 10.14864/softscis.2010.0.88.0 -
dc.identifier.scopusid 2-s2.0-84866648447 -
dc.identifier.bibliographicCitation Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS & ISIS 2010, pp.88 - 93 -
dc.citation.conferenceDate 2010-12-08 -
dc.citation.conferencePlace JA -
dc.citation.conferencePlace Okayama -
dc.citation.endPage 93 -
dc.citation.startPage 88 -
dc.citation.title Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS & ISIS 2010 -
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Appears in Collections:
Division of Automotive Technology 2. Conference Papers
Division of Automotive Technology Advanced Radar Tech. Lab 2. Conference Papers

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