Invention Grant
- Patent Title: Self-learning locator for mobile device
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Application No.: US15087161Application Date: 2016-03-31
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Publication No.: US09848302B2Publication Date: 2017-12-19
- Inventor: Lei Yang , Jared B. Counts , Xue Yang , Shao-Wen Yang , Arvind Kumar
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: H04W24/00
- IPC: H04W24/00 ; H04W4/02

Abstract:
A system for locating a mobile device includes an input that accesses a plurality of scans of wireless network access signaling, where the scans indicate received signal measurement results. A similarity measure module executes comparisons between the data of different scans in order to assess the similarity between those scans. The comparisons produce multi-dimensional comparison results. A dimension reduction module reduces dimensionality of the multi-dimensional comparison results to produce a dimension-reduced set of comparison results. A clustering module identifies groupings of similar scans based on the dimension-reduced set of comparison results.
Public/Granted literature
- US20170289764A1 SELF-LEARNING LOCATOR FOR MOBILE DEVICE Public/Granted day:2017-10-05
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