2015 IEEE International Workshop on Measurements &Amp; Networking (M&N) 2015
DOI: 10.1109/iwmn.2015.7322974
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Indoor-localization system for smart phones

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Cited by 7 publications
(2 citation statements)
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“…The third example case is an indoor ultrasound localization system (Bordoy et al 2020) (Ens et al 2015) (Hoeflinger et al 2015), which offers high localization accuracy when compared to alternative technologies, e.g., Wi-Fi-based fingerprinting approaches (Tiku et al 2020), Bluetooth, ZigBee, Ultra Wide Band (UWB), vision and acoustic-based (Zafari et al 2019). It localizes ultrasound transmitters on objects (e.g., goods, transport systems, robots) using receivers on the ceiling by application of time difference of arrival algorithms (TDOA) for the case of known receiver positions.…”
Section: Data Sources and Selection Criteria For Application Casesmentioning
confidence: 99%
“…The third example case is an indoor ultrasound localization system (Bordoy et al 2020) (Ens et al 2015) (Hoeflinger et al 2015), which offers high localization accuracy when compared to alternative technologies, e.g., Wi-Fi-based fingerprinting approaches (Tiku et al 2020), Bluetooth, ZigBee, Ultra Wide Band (UWB), vision and acoustic-based (Zafari et al 2019). It localizes ultrasound transmitters on objects (e.g., goods, transport systems, robots) using receivers on the ceiling by application of time difference of arrival algorithms (TDOA) for the case of known receiver positions.…”
Section: Data Sources and Selection Criteria For Application Casesmentioning
confidence: 99%
“…In audio-based indoor positioning systems, code-division multiple access (CDMA) [12,13,14] and linear chirp are the two common audio coding methods [9,10,11,15,16]. Fernando J. Álvarez et al realized an audio-based indoor positioning system that utilized CDMA signals [12].…”
Section: Introductionmentioning
confidence: 99%