METHOD AND SYSTEM FOR LOCATING OBJECTS WITHIN A MASTER SPACE USING MACHINE LEARNING ON RF RADIOLOCATION

In embodiments, an object location system is configured to receive a transmitted tag package from a Radio Frequency (RF) tag associated with an object. The transmitted tag package includes a representation of RF signals received by the RF tag from respective RF signal sources. The object location sy...

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Bibliographische Detailangaben
Hauptverfasser:	Stratigos, JR., James A, Koberg, Joseph Kilburn, QI, Cheng, Parikh, Nishith M
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 HANDLING RECORD CARRIERS LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS PRESENTATION OF DATA RADIO DIRECTION-FINDING RADIO NAVIGATION RECOGNITION OF DATA RECORD CARRIERS TESTING
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Beschreibung
Zusammenfassung:	In embodiments, an object location system is configured to receive a transmitted tag package from a Radio Frequency (RF) tag associated with an object. The transmitted tag package includes a representation of RF signals received by the RF tag from respective RF signal sources. The object location system is configured to access multiple data models associated with a respective subspace and generated by associating a RF signal sample received by a tag in the associated subspace at a prior time. The object location system is configured to compare the representation of RF signals to each of the plurality of data models. The object location system is configured to select a candidate data model having a highest correlation with the representation of the RF signals from the comparison. The object location system is configured to predict that the object is located in a subspace associated with the candidate data model.