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De-embedding Motion Artifacts from Robotic Arm Assisted Propagation Measurements

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dc.contributor.authorThornton, Collin-
dc.contributor.authorKachroo, Amit-
dc.contributor.authorBai, He-
dc.contributor.authorEkin, Sabit-
dc.contributor.authorChoi, Wooyeol-
dc.date.accessioned2024-04-30T01:20:51Z-
dc.date.available2024-04-30T01:20:51Z-
dc.date.created2024-04-26-
dc.date.created2024-04-26-
dc.date.issued2021-
dc.identifier.citation2021 IEEE TEXAS SYMPOSIUM ON WIRELESS AND MICROWAVE CIRCUITS AND SYSTEMS (WMCS)-
dc.identifier.issn2638-3845-
dc.identifier.urihttps://hdl.handle.net/10371/199957-
dc.description.abstractThis paper introduces a method to de-embed motion artifacts introduced by cable movement during millimeter wave propagation measurements that involve motion. In our work, the motion is performed by a Sawyer robotic arm emulating a UAV motion profile disturbed with gusts generated by the Dryden wind model. An RF cable connects the Rx from the end effector of the arm to a Keysight VNA taking time-swept continuous wave measurements. The cable moves with the arm, introducing phase changes to the measurement data. After determining the cable S-parameters in the continuous time domain, they are removed from the measurement data to get the channel parameters. Furthermore, the effects of de-emebedding is examined by comparing the Doppler spread of measurement data before and after de-embedding. The noise floor in the channel shifted from -62 dB before de-embedding to -58 dB after de-embedding. The observed Doppler spread reduced by 31.67 Hz.-
dc.language영어-
dc.publisherIEEE-
dc.titleDe-embedding Motion Artifacts from Robotic Arm Assisted Propagation Measurements-
dc.typeArticle-
dc.identifier.doi10.1109/WMCS52222.2021.9493296-
dc.citation.journaltitle2021 IEEE TEXAS SYMPOSIUM ON WIRELESS AND MICROWAVE CIRCUITS AND SYSTEMS (WMCS)-
dc.identifier.wosid000698753800038-
dc.identifier.scopusid2-s2.0-85112070556-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorChoi, Wooyeol-
dc.type.docTypeProceedings Paper-
dc.description.journalClass1-
dc.subject.keywordAuthormmWave-
dc.subject.keywordAuthorUAV-
dc.subject.keywordAuthorDe-embedding-
dc.subject.keywordAuthorDryden wind model-
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  • College of Engineering
  • Department of Electrical and Computer Engineering
Research Area High Frequency Microelectronics, Microwave engineering, Radio Frequency Integrated Circuit, 초고주파 공학, 초고주파 시스템, 초고주파 집적회로

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