A 5 GHz Wi-Fi Receiver Front End with 4x80 MHz Channels for a High Accuracy Indoor Localization System Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/ns0648461

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  • The ability to accurately locate people and objects indoors will enable opportunities for control and automation of indoor environments. Current indoor localization solutions require dedicated hardware which must be custom tailored to each application. There are large technological, societal, and economic benefits in developing a more general purpose system that can be deployed as universally as the Global Positioning System (GPS). Localization systems based on mobile Wi-Fi communications show great promise toward meeting these needs because much of the infrastructure is already in place. To support this goal, a 5 GHz Wi-Fi front end receiver array for an indoor localization system based on a time difference of arrival (TDOA) multilateration algorithm is presented. The receiver consists of 4x80 MHz, highly synchronized channels to support the TDOA measurement. The receiver achieves propagation delay mismatch of less than 150 picoseconds. The full system is able to locate and track a mobile device to within 1 meter.
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  • description.provenance : Submitted by Kyle Gray (grayk@oregonstate.edu) on 2015-12-11T21:22:14Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) GrayKyleL2015.pdf: 4412335 bytes, checksum: a28e95a123d80923089e9d0b83d34db9 (MD5)
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2015-12-16T19:58:06Z (GMT) No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) GrayKyleL2015.pdf: 4412335 bytes, checksum: a28e95a123d80923089e9d0b83d34db9 (MD5)
  • description.provenance : Made available in DSpace on 2015-12-17T16:31:22Z (GMT). No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) GrayKyleL2015.pdf: 4412335 bytes, checksum: a28e95a123d80923089e9d0b83d34db9 (MD5) Previous issue date: 2015-11-30
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2015-12-17T16:31:22Z (GMT) No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) GrayKyleL2015.pdf: 4412335 bytes, checksum: a28e95a123d80923089e9d0b83d34db9 (MD5)

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