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:
May. 25, 2021

Filed:

Jan. 16, 2019
Applicant:

Kymeta Corporation, Redmond, WA (US);

Inventors:

Paul Klassen, Newcastle, WA (US);

Ron Radko, Kirkland, WA (US);

Jonas Nicholson, Preston, WA (US);

Kevin KleinOsowski, Seattle, WA (US);

Taylor Stokes, Monroe, WA (US);

David Cooper, Bellevue, WA (US);

Greg Eigsti, Sammamish, WA (US);

Assignee:

KYMETA CORPORATION, Redmond, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 8/61 (2018.01); G06N 20/00 (2019.01); H04L 9/30 (2006.01); H04L 9/32 (2006.01); G06F 9/4401 (2018.01); G06F 8/654 (2018.01); H04B 17/14 (2015.01); H04B 17/10 (2015.01); H04B 17/16 (2015.01); H04B 17/18 (2015.01); H04B 17/26 (2015.01);
U.S. Cl.
CPC ...
G06F 8/61 (2013.01); G06F 8/654 (2018.02); G06F 9/4401 (2013.01); G06N 20/00 (2019.01); H04B 17/101 (2015.01); H04B 17/14 (2015.01); H04B 17/16 (2015.01); H04B 17/18 (2015.01); H04B 17/26 (2015.01); H04L 9/30 (2013.01); H04L 9/3247 (2013.01);
Abstract

System and methods are disclosed for remote management of mobile satellite antenna modules having an antenna subsystem module (ASM). An ASM periodically transmits a check-in message and metrics data to a server. The server analyzes the check-in message and metrics data to determine a state of operation of the antenna, and determine one or more management commands to improve the performance of the ASM. Information in the metrics data received from each ASM can be queried and processed using machine learning to determine correlation between attributes of the ASMs and performance of the ASMs.


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