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:
Oct. 09, 2018

Filed:

Aug. 31, 2017
Applicant:

Bae Systems Information and Electronic Systems Integration Inc., Nashua, NH (US);

Inventors:

Jonathan P. Beaudeau, Nashua, NH (US);

John A. Tranquilli, Jr., Nashua, NH (US);

Brandon P. Hombs, Nashua, NH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04B 1/16 (2006.01); H04L 1/00 (2006.01); H04L 25/03 (2006.01);
U.S. Cl.
CPC ...
H04B 1/16 (2013.01); H04L 1/0054 (2013.01); H04L 25/03057 (2013.01); H04L 25/03178 (2013.01);
Abstract

A method of digital signal processing includes modeling a digitally-modulated radio frequency (RF) communication stream using a set of incoming samples of the stream collected from a single antenna. The stream includes a first signal, the first signal including a sequence of first digital symbols having a previous symbol and a current symbol. Each first digital symbol is chosen from a plurality of first possible values. The first signal is modulated by a first known RF communication protocol having unknown time-varying parameters, the parameters having estimated previous values from modeling the previous symbol using a previous interval of the samples corresponding to the previous symbol. The method further includes collecting a current interval of the samples, predicting current values of the parameters, deciding a value of the current symbol using maximum likelihood estimation, and estimating the current values of the parameters using maximum likelihood estimation.


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