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De-embedding Motion Artifacts from Robotic Arm Assisted Propagation Measurements
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Thornton, Collin | - |
dc.contributor.author | Kachroo, Amit | - |
dc.contributor.author | Bai, He | - |
dc.contributor.author | Ekin, Sabit | - |
dc.contributor.author | Choi, Wooyeol | - |
dc.date.accessioned | 2024-04-30T01:20:51Z | - |
dc.date.available | 2024-04-30T01:20:51Z | - |
dc.date.created | 2024-04-26 | - |
dc.date.created | 2024-04-26 | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | 2021 IEEE TEXAS SYMPOSIUM ON WIRELESS AND MICROWAVE CIRCUITS AND SYSTEMS (WMCS) | - |
dc.identifier.issn | 2638-3845 | - |
dc.identifier.uri | https://hdl.handle.net/10371/199957 | - |
dc.description.abstract | This 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.language | 영어 | - |
dc.publisher | IEEE | - |
dc.title | De-embedding Motion Artifacts from Robotic Arm Assisted Propagation Measurements | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/WMCS52222.2021.9493296 | - |
dc.citation.journaltitle | 2021 IEEE TEXAS SYMPOSIUM ON WIRELESS AND MICROWAVE CIRCUITS AND SYSTEMS (WMCS) | - |
dc.identifier.wosid | 000698753800038 | - |
dc.identifier.scopusid | 2-s2.0-85112070556 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Choi, Wooyeol | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordAuthor | mmWave | - |
dc.subject.keywordAuthor | UAV | - |
dc.subject.keywordAuthor | De-embedding | - |
dc.subject.keywordAuthor | Dryden wind model | - |
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- College of Engineering
- Department of Electrical and Computer Engineering
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