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:
Jan. 01, 2013

Filed:

Mar. 31, 2009
Applicants:

Daniel Eugene Cooprider, Greenwood, IN (US);

Gregory W. Massey, Greenfield, IN (US);

Thomas Renken, Indianapolis, IN (US);

Loren Eggert, Indianapolis, IN (US);

Inventors:

Daniel Eugene Cooprider, Greenwood, IN (US);

Gregory W. Massey, Greenfield, IN (US);

Thomas Renken, Indianapolis, IN (US);

Loren Eggert, Indianapolis, IN (US);

Assignee:

Acterna LLC, Germantown, MD (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04B 3/46 (2006.01);
U.S. Cl.
CPC ...
Abstract

A method and apparatus are provided for detecting network impairments through tilt-normalized measurement data, the method including: collecting data for a network signal; computing a best-fit tilt for the collected data; performing tilt-normalization of the collected data responsive to the computed best-fit tilt; and determining whether the tilt-normalized data crosses a threshold, and if so, pattern matching the tilt-normalized data to detect a network impairment; and the apparatus including: an input unit for collecting data from a network signal; a tilt unit connected to the input unit for computing a best-fit tilt for the collected data and performing tilt-normalization of the collected data responsive to the computed best-fit tilt; and a pattern matching unit connected to the tilt unit for determining whether the tilt-normalized data crosses a threshold, and if so, pattern matching the tilt-normalized data to detect at least one network impairment.


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