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:
Mar. 12, 2019

Filed:

Mar. 19, 2018
Applicant:

Collision Communications, Inc., Peterborough, NH (US);

Inventors:

Sayak Bose, Nashua, NH (US);

Brandon Hombs, Merrimack, NH (US);

Joseph Farkas, Merrimack, NH (US);

Assignee:

COLLISION COMMUNICATIONS, INC., Peterborough, NH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 25/03 (2006.01); H04L 25/02 (2006.01); H04B 7/0452 (2017.01);
U.S. Cl.
CPC ...
H04L 25/03292 (2013.01); H04L 25/0204 (2013.01); H04L 25/03267 (2013.01); H04L 25/03331 (2013.01); H04B 7/0452 (2013.01); H04L 25/03076 (2013.01); H04L 2025/03636 (2013.01);
Abstract

An improved receiver design implements a practical method for modeling users in SIC turbo loop multiuser detection architectures, wherein in each loop unsubtracted estimation errors from previous loops are used to appropriately scale the error covariance matrix for each user, thereby accurately representing the remaining residual interference in the data stream for each desired user. The effect of estimation errors in previous interference cancellation operations is thereby minimized, and symbol estimations in successive turbo loops are improved, for example during multiuser MMSE, multiuser MMSE with interference rejection combining (MMSE-IRC), sample matrix inversion (SMI), or any of their adaptive variants (least mean-square, recursive least square, Kalman filter etc.). The estimated residual symbol energy can be computed per symbol, and then applied to entire data streams, to groups of symbols, or to each symbol separately.


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