Invention Grant
- Patent Title: KL-divergence kernel regression for non-gaussian fingerprint based localization
- Patent Title (中): 基于非高斯指纹定位的KL-散度核回归
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Application No.: US13249895Application Date: 2011-09-30
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Publication No.: US08463291B2Publication Date: 2013-06-11
- Inventor: Piotr Mirowski , Harald Steck , Philip A. Whiting , Ravishankar Palaniappan , William Michael MacDonald , Tin Kam Ho
- Applicant: Piotr Mirowski , Harald Steck , Philip A. Whiting , Ravishankar Palaniappan , William Michael MacDonald , Tin Kam Ho
- Applicant Address: FR Paris
- Assignee: Alcatel Lucent
- Current Assignee: Alcatel Lucent
- Current Assignee Address: FR Paris
- Agent Julie Stein; Niraj Desai
- Main IPC: H04W24/00
- IPC: H04W24/00

Abstract:
Embodiments are directed to mobile localization, and more specifically, but not exclusively, to tracking mobile devices. Embodiments include methods that consider probability kernels with distance-like metrics between distributions. Also described are probabilistic kernels that can be used for a regression of location, which can achieve up to about inn accuracy in an office environment.
Public/Granted literature
- US20130065605A1 KL-Divergence Kernel Regression For Non-Gaussian Fingerprint Based Localization Public/Granted day:2013-03-14
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