发明申请
US20160077191A1 Gaussian Process-Based Approach for Identifying Correlation Between Wireless Signals
有权
基于高斯过程的识别无线信号之间相关性的方法
- 专利标题: Gaussian Process-Based Approach for Identifying Correlation Between Wireless Signals
- 专利标题(中): 基于高斯过程的识别无线信号之间相关性的方法
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申请号: US14843961申请日: 2015-09-02
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公开(公告)号: US20160077191A1公开(公告)日: 2016-03-17
- 发明人: Brian John Julian , Brian Patrick Williams , Etienne Le Grand
- 申请人: Google Inc.
- 主分类号: G01S5/02
- IPC分类号: G01S5/02 ; G01S5/00
摘要:
Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on trained Gaussian processes modeling signals of wireless signal emitters. A computing device can determine first and second trained Gaussian processes. The respective first and second Gaussian processes can be based on first and second hyperparameter values related to first and second wireless signal emitters. The computing device can determine first and second sets of comparison hyperparameter values of the respective first and second hyperparameter values, and then determine whether the first and second sets of comparison hyperparameter values are within one or more threshold values. After determining that the first and second sets of comparison hyperparameter values are within the threshold(s), the computing device can determine the first and second Gaussian processes are dependent and then provide an estimated-location output based on a representative Gaussian process based on the first and the second Gaussian processes.
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