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:
Dec. 19, 2023

Filed:

Sep. 28, 2017
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

David Arditti Ilitzky, Guadalajara, MX;

Harry Skinner, Beaverton, OR (US);

Fernando Ramos Alarcon Barroso, Mexico City, MX;

Valeri Kontorovich Mazover, Mexico City, MX;

Rocio Hernandez Fabian, Zopopan, MX;

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04B 1/00 (2006.01); H04B 17/21 (2015.01); H04B 17/373 (2015.01); H04B 1/04 (2006.01);
U.S. Cl.
CPC ...
H04B 1/0096 (2013.01); H04B 1/04 (2013.01); H04B 17/21 (2015.01); H04B 17/373 (2015.01); H04B 2001/0425 (2013.01);
Abstract

A signal processing device includes a prediction and correction engine configured to receive a signal including a target signal, and to execute a single-moment filter, based on a current measurement sample of the signal and a model of the target signal, to obtain a single-moment state estimate and a single-moment state estimate error covariance for the target signal, a covariance renormalizer configured to determine a multi-moment state estimate error covariance for the target signal based on a prior single-moment state estimate error covariance, corresponding to a sample prior to the current measurement sample, and the single-moment state estimate error covariance, and a multi-moment prediction and correction engine configured to execute a multi-moment filtering extension based on the current measurement sample and the multi-moment state estimate error covariance to obtain a multi-moment state estimate, and further configured to determine an estimate for the target signal based on the multi-moment state estimate.


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