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. 12, 2017

Filed:

Jul. 28, 2016
Applicant:

Freescale Semiconductor, Inc., Austin, TX (US);

Inventors:

Jayakrishnan Cheriyath Mundarath, Austin, TX (US);

Mir Masood, Mesa, AZ (US);

Peter Zahariev Rashev, Calgary, CA;

Assignees:

NXP USA, Inc.;

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H03L 5/00 (2006.01); H03K 5/08 (2006.01); H04L 25/49 (2006.01); H04B 1/04 (2006.01); H04L 27/26 (2006.01); H03F 1/32 (2006.01);
U.S. Cl.
CPC ...
H04B 1/0475 (2013.01); H03F 1/32 (2013.01); H03F 1/3241 (2013.01); H04L 27/2614 (2013.01); H04B 2001/0408 (2013.01); H04B 2001/0425 (2013.01);
Abstract

A digital frontend circuit for a radio frequency (RF) comprises a digital predistortion (DPD) block, a plurality of sub-sample delay elements, and a selection circuit. The DPD block for computing predistorted transmit signals according to a Volterra series approximation model. The DPD block has an input for receiving input samples at a first sample rate and an output for providing the predistorted transmit signals at the first sample rate. Each of the sub-sample delay elements provides a delay to an input sample as specified by the Volterra series approximation model, where each of the delays is based on a fraction of the first sample rate. The selection circuit selects one of the plurality of sub-sample delay elements in response to a selection signal from the digital predistortion block. The selection signal for selecting a delay as specified by the Volterra series approximation model.


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