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. 05, 2020

Filed:

Oct. 18, 2019
Applicant:

Nanosemi, Inc., Waltham, MA (US);

Inventors:

Alexandre Megretski, Concord, MA (US);

Kevin Chuang, Cambridge, MA (US);

Yan Li, Lexington, MA (US);

Zohaib Mahmood, Westwood, MA (US);

Helen H. Kim, Sudbury, MA (US);

Assignee:

NanoSemi, Inc., Waltham, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H03F 1/32 (2006.01); H03F 3/193 (2006.01); H03F 3/21 (2006.01); H04B 1/04 (2006.01);
U.S. Cl.
CPC ...
H03F 1/3247 (2013.01); H03F 1/3258 (2013.01); H03F 3/193 (2013.01); H03F 3/21 (2013.01); H03F 2200/102 (2013.01); H03F 2201/3224 (2013.01); H03F 2201/3227 (2013.01); H03F 2201/3233 (2013.01); H04B 2001/0425 (2013.01);
Abstract

A pre-distorter that both accurately compensates for the non-linearities of a radio frequency transmit chain, and that imposes as few computation requirements in terms of arithmetic operations, uses a diverse set of real-valued signals that are derived from separate band signals that make up the input signal. The derived real signals are passed through configurable non-linear transformations, which may be adapted during operation, and which may be efficiently implemented using lookup tables. The outputs of the non-linear transformations serve as gain terms for a set of complex signals, which are functions of the input, and which are summed to compute the pre-distorted signal. A small set of the complex signals and derived real signals may be selected for a particular system to match the classes of non-linearities exhibited by the system, thereby providing further computational savings, and reducing complexity of adapting the pre-distortion through adapting of the non-linear transformations.


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