Method and system to estimate and learn the location of a radio device

Aspects of the subject disclosure may include, for example, utilizing a Radio Frequency (RF) fingerprint model for a demarcated area associated with a plurality of anchors. A machine learning process is applied to an RF training set that includes RF characteristics for a plurality of messages and lo...

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Bibliographische Detailangaben
Hauptverfasser:	Ye, ZhenZhen, Duan, Chunjie
Format:	Patent
Sprache:	eng
Schlagworte:	ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION TESTING WIRELESS COMMUNICATIONS NETWORKS
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Beschreibung
Zusammenfassung:	Aspects of the subject disclosure may include, for example, utilizing a Radio Frequency (RF) fingerprint model for a demarcated area associated with a plurality of anchors. A machine learning process is applied to an RF training set that includes RF characteristics for a plurality of messages and locations determined for one or more mobile devices within the demarcated area. The plurality of messages are wirelessly transmitted as part of radio measurement locating processes to determine the mobile device locations. A first location for the first mobile device can be determined based on the RF fingerprint model according to particular RF characteristics of first messages being received by or received from the first mobile device. Other embodiments are disclosed.