{ "access": { "embargo": { "active": false, "reason": null }, "files": "public", "record": "public", "status": "open" }, "created": "2019-12-10T12:38:27.485645+00:00", "custom_fields": { "journal:journal": { "title": "IEEE Sensors Journal" } }, "deletion_status": { "is_deleted": false, "status": "P" }, "files": { "count": 1, "enabled": true, "entries": { "BPSKradar_revision_v10_noMark.pdf": { "checksum": "md5:65d435f43d39d18ff3370a7cfae2f4bf", "ext": "pdf", "id": "45596fb6-4c91-480d-909a-a28ff55cae4f", "key": "BPSKradar_revision_v10_noMark.pdf", "metadata": null, "mimetype": "application/pdf", "size": 721857 } }, "order": [], "total_bytes": 721857 }, "id": "3569313", "is_draft": false, "is_published": true, "links": { "access": "https://zenodo.org/api/records/3569313/access", "access_links": "https://zenodo.org/api/records/3569313/access/links", "access_request": "https://zenodo.org/api/records/3569313/access/request", "access_users": "https://zenodo.org/api/records/3569313/access/users", "archive": "https://zenodo.org/api/records/3569313/files-archive", "archive_media": "https://zenodo.org/api/records/3569313/media-files-archive", "communities": "https://zenodo.org/api/records/3569313/communities", "communities-suggestions": "https://zenodo.org/api/records/3569313/communities-suggestions", "doi": "https://doi.org/10.1109/JSEN.2019.2955746", "draft": "https://zenodo.org/api/records/3569313/draft", "files": "https://zenodo.org/api/records/3569313/files", "latest": "https://zenodo.org/api/records/3569313/versions/latest", "latest_html": "https://zenodo.org/records/3569313/latest", "media_files": "https://zenodo.org/api/records/3569313/media-files", "parent": "https://zenodo.org/api/records/3569312", "parent_doi": "https://zenodo.org/doi/", "parent_html": "https://zenodo.org/records/3569312", "requests": "https://zenodo.org/api/records/3569313/requests", "reserve_doi": "https://zenodo.org/api/records/3569313/draft/pids/doi", "self": "https://zenodo.org/api/records/3569313", "self_doi": "https://zenodo.org/doi/10.1109/JSEN.2019.2955746", "self_html": "https://zenodo.org/records/3569313", "self_iiif_manifest": "https://zenodo.org/api/iiif/record:3569313/manifest", "self_iiif_sequence": "https://zenodo.org/api/iiif/record:3569313/sequence/default", "versions": "https://zenodo.org/api/records/3569313/versions" }, "media_files": { "count": 0, "enabled": false, "entries": {}, "order": [], "total_bytes": 0 }, "metadata": { "creators": [ { "affiliations": [ { "name": "Chalmers University of Technology" } ], "person_or_org": { "family_name": "An", "given_name": "Sining", "name": "An, Sining", "type": "personal" } }, { "affiliations": [ { "name": "Chalmers University of Technology" } ], "person_or_org": { "family_name": "Zhongxia", "given_name": "Simon He", "name": "Zhongxia, Simon He", "type": "personal" } }, { "affiliations": [ { "name": "Beijing Institute of Technology" } ], "person_or_org": { "family_name": "An", "given_name": "Jianping", "name": "An, Jianping", "type": "personal" } }, { "affiliations": [ { "name": "Beijing Institute of Technology" } ], "person_or_org": { "family_name": "Li", "given_name": "Jianguo", "name": "Li, Jianguo", "type": "personal" } }, { "affiliations": [ { "name": "Chalmers University of Technology" } ], "person_or_org": { "family_name": "Zirath", "given_name": "Herbert", "name": "Zirath, Herbert", "type": "personal" } } ], "description": "
An enhanced accuracy random binary phase modulated radar is proposed. It can be used in high accuracy monitoring in manufacturing. Compared with the traditional high accuracy radar using frequency modulated continuous wave (FMCW), the proposed radar system can be used in a multi-user scenario without occupying more bandwidth. A two-step distance estimation method is introduced to estimate the distance. First, the distance estimation accuracy is narrowed down to a half carrier wavelength by analyzing the envelope of the phase modulated signal. Then the carrier phase information increases the distance accuracy to several micrometers. An equalization method is introduced to solve the I/Q imbalance problem. The proposed radar system is demonstrated at a carrier frequency of 80 GHz with a bandwidth of 2 GHz. The measured distance error was within ±7 µm. In addition, a high measurement repetition rate of 500 kHz was reached which is suitable for real-time monitoring in automatic manufacturing.
", "funding": [ { "award": { "acronym": "Car2TERA", "id": "00k4n6c32::824962", "identifiers": [ { "identifier": "https://cordis.europa.eu/projects/824962", "scheme": "url" } ], "number": "824962", "program": "H2020", "title": { "en": "Terahertz sensors and networks for next generation smart automotive electronic systems" } }, "funder": { "id": "00k4n6c32", "name": "European Commission" } } ], "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2019-11-25", "publisher": "Zenodo", "related_identifiers": [ { "identifier": "https://ieeexplore.ieee.org/abstract/document/8911417", "relation_type": { "id": "isderivedfrom", "title": { "de": "Wird abgeleitet von", "en": "Is derived from" } }, "resource_type": { "id": "publication-article", "title": { "de": "Zeitschriftenartikel", "en": "Journal article" } }, "scheme": "url" } ], "resource_type": { "id": "publication-article", "title": { "de": "Zeitschriftenartikel", "en": "Journal article" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "phase modulated" }, { "subject": "radar" }, { "subject": "millimeter-wave" }, { "subject": "micrometer accuracy" }, { "subject": "monitoring" }, { "subject": "Industry 4.0" }, { "subject": "distance measurement" } ], "title": "Micrometer Accuracy Phase Modulated Radar for Distance Measurement and Monitoring" }, "parent": { "access": { "owned_by": { "user": 61652 } }, "communities": { "default": "b21edf37-9561-437f-96d3-5d738a34a224", "entries": [ { "access": { "member_policy": "open", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2019-02-26T13:17:42.040712+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "b21edf37-9561-437f-96d3-5d738a34a224", "links": {}, "metadata": { "curation_policy": "Only publications related to the H2020 car2TERA Project will be curated.
\r\n", "page": "car2TERA will develop emerging sub-THz (150-330 GHz) smart electronic systems based on latest semiconductor, microsystem and nanoelectronics technologies, and implement Technology Readiness Level - 4 demonstrators in two high-potential application scenarios: a new class of -steering short-range car radar sensors and short-distance, high data-rate THz-over-plastic data links for radio-access and backbone networks facilitating the data growth demanded by future Internet of Things.
\r\n\r\nMission and Objectives
\r\n\r\ncar2TERA will focus on sub-THz, large bandwidth technologies for advanced in-cabin sensor systems, sensor fusion and high-speed data links. Most importantly, the project will combine the results of recent achievements:
\r\n\r\n(1) monolithic-microwave integrated circuits (MMICs) using 600-GHz-fmax SiGe and graphene technology
\r\n\r\n(2) silicon micromachining for system integration, packaging and phased-array antenna front-end
\r\n\r\n(3) integrated MEMS re-configurability and
\r\n\r\n(4) large bandwidth, high-linearity graphene MMICs
\r\n\r\n(5) advanced signal processing including OFDM radar signals and AI sensor fusion. Moreover, car2TERA will focus on the following objectives:
\r\n\r\n