Invention Grant
- Patent Title: Enhancing the accuracy of angle-of-arrival device locating through machine learning
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Application No.: US16521860Application Date: 2019-07-25
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Publication No.: US10794983B1Publication Date: 2020-10-06
- Inventor: Mukul Chandail , Khashayar Mirfakhraei , Matthew Aaron Silverman , Xu Zhang , Zhigang Gao , Paul Jeffrey Stager
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Behmke Innovation Group LLC
- Agent James M. Behmke; Jonathon P. Western
- Main IPC: H04W24/02
- IPC: H04W24/02 ; G01S3/32 ; G01S11/04 ; G01S11/06 ; H04W4/029 ; H04W64/00 ; G06N20/00 ; G01S5/02

Abstract:
In one embodiment, a device obtains a machine learning model indicative of how to focus on particular location information from a plurality of radio frequency (RF) elements to provide an accurate location estimate of a wireless client based at least in part on angle-of-arrival information of the wireless client. When the device then obtains location information regarding the wireless client from the plurality of RF elements, it may apply the machine learning model to the location information regarding the wireless client to focus on particular location information of the location information from the plurality of RF elements. The device may then estimate a physical location of the wireless client based on focusing on the particular location information during a locationing computation.
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