The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 08, 2022

Filed:

Apr. 21, 2021
Applicant:

Polaris Wireless, Inc., Mountain View, CA (US);

Inventors:

Jerome Arthur Blaha, Jr., Redwood City, CA (US);

Scot Douglas Gordon, Redmond, CA (US);

Jeffrey Noel Wu, Santa Clara, CA (US);

Jian Zhu, Cupertino, CA (US);

Assignee:

Polaris Wireless, Inc., Mountain View, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01S 19/40 (2010.01); G01S 19/48 (2010.01); G01S 19/39 (2010.01); G01W 1/10 (2006.01); G01L 19/00 (2006.01); G01L 27/00 (2006.01); G01S 5/02 (2010.01); G01C 5/06 (2006.01); G01C 21/00 (2006.01); H04W 4/029 (2018.01);
U.S. Cl.
CPC ...
G01S 19/393 (2019.08); G01C 5/06 (2013.01); G01C 21/005 (2013.01); G01L 19/0092 (2013.01); G01L 27/002 (2013.01); G01S 5/0264 (2020.05); G01S 5/0294 (2013.01); G01S 19/48 (2013.01); G01W 1/10 (2013.01); H04W 4/029 (2018.02);
Abstract

A method for estimating the pressure measurement bias of a barometric sensor in a wireless terminal. A location engine using the method generates an enhanced estimate of the measurement bias. The location engine generates the enhanced estimate based in part on relatively coarse estimates of the elevation of the wireless terminal. Each coarse estimate of elevation is often generated from noisy measurements, such as measurements of signals transmitted by Global Positioning System (GPS) satellites, and has an associated uncertainty. The location engine accounts for the uncertainty in these estimates of elevation by applying an optimal estimation technique, such as Kalman filtering, and by compensating for environment-related effects. Compensating Includes filtering across a plurality of lateral locations and imposing a lower bound of bias uncertainty at the lateral locations. Once the location engine generates the enhanced estimate of measurement bias, it can generate improved estimates of elevation of the wireless terminal.


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