Capture selection for digital pre-distortion adaptation and capture concatenation for frequency hopping pre-distortion adaptation

Patent metadata

Field	Value
Publication number	US-2016065249-A1
Application number	US-201414475552-A
Country	US
Kind code	A1
Filing date	Sep 2, 2014
Priority date	Sep 2, 2014
Publication date	Mar 3, 2016
Grant date	—

Abstract

A digital pre-distortion component includes: a first capturing component that captures a first sample set of data; a first generating component that generates a first change matrix associated with a portion of the first sample set of data; a first memory component that stores the first change matrix; a second capturing component that captures a second sample set of data; a second generating component that generates a second change matrix associated with a portion of the second sample set of data; a second memory component that stores the second change matrix; a third capturing component that captures a third sample set of data; a third generating component that generates a third change matrix associated with a portion of the third sample set of data; a comparing component that compares the third change matrix with the first change matrix to obtain a first comparison, and compares the third change matrix with the second change matrix to obtain a second comparison; and an adapting component that adapts the digital pre-distortion component with the third sample set of data based on one of the first comparison and the second comparison.

First claim

1 . A method of training a digital pre-distortion component comprising:
capturing, via a first capturing component, a first sample set of received data; generating, via a first generating component, a first change matrix associated with a portion of the first sample set of received data; storing, into a first memory component, the first change matrix; capturing, via a second capturing component, a second sample set of received data; generating, via a second generating component, a second change matrix associated with a portion of the second sample set of received data; storing, into a second memory component, the second change matrix; capturing, via a third capturing component, a third sample set of received data; generating, via a third generating component, a third change matrix associated with a portion of the third sample set of received data; comparing, via a comparing component, the third change matrix with the first change matrix to obtain a first comparison; comparing, via the comparing component, the third change matrix with the second change matrix to obtain a second comparison; and adapting, via an adapting component, a digital pre-distortion component with the third sample set of data based on one of the first comparison and the second comparison.

2 . The method of training a digital pre-distortion component of claim 1 ,
wherein said capturing a first sample set of data, said capturing a second sample set of received data and said capturing a third sample set of received data are performed such that the first capturing component, the second capturing component and the third capturing component are a first unitary component, wherein said generating a first change matrix, said generating a second change matrix and said generating a third change matrix are performed such that the first generating component, the second generating component and the third generating component are a second unitary component, and wherein said storing the first change matrix, said storing the second change matrix and said storing the third change matrix are performed such that the first memory component, the second memory component and the third memory component are a third unitary component.

3 . The method of training a digital pre-distortion component of claim 2 , wherein said generating, via a first generating component, a first change matrix associated with a portion of the first sample set of received data comprises generating first the change matrix associated with a contiguous portion of the first sample set of received data.

4 . The method of training a digital pre-distortion component of claim 2 , wherein said generating, via a first generating component, a first change matrix associated with a portion of the first sample set of received data comprises generating first the change matrix associated with the entire portion of the first sample set of received data.

5 . The method of training a digital pre-distortion component claim 2 , wherein said generating, via a first generating component, a first change matrix associated with a portion of the first sample set of received data comprises generating first the change matrix associated with multiple sub-segments of the first sample set of received data.

6 . The method of training a digital pre-distortion component of claim 2 , wherein said generating, via a first generating component, a first change matrix associated with a portion of the first sample set of received data comprises generating an amplitude change matrix.

7 . The method of training a digital pre-distortion component of claim 1 , wherein said generating, via a first generating component, a first change matrix associated with a portion of the first sample set of received data comprises generating first the change matrix associated with a contiguous portion of the first sample set of received data.

8 . The method of training a digital pre-distortion component of claim 1 , wherein said generating, via a first generating component, a first change matrix associated with a portion of the first sample set of received data comprises generating first the change matrix associated with the entire portion of the first sample set of received data.

9 . The method of training a digital pre-distortion component of claim 1 , wherein said generating, via a first generating component, a first change matrix associated with a portion of the first sample set of data comprises generating first the change matrix associated with multiple sub-segments of the first sample set of received data.

10 . The method of training a digital pre-distortion component of claim 1 , wherein said generating, via a first generating component, a first change matrix associated with a portion of the first sample set of received data comprises generating an amplitude change matrix.

11 . The method of training a digital pre-distortion component of claim 10 , further comprising:
modeling, via a feedback component, error; determining, via a linear error determining component, a linear error portion of the modeled error; and generating, via an error generating component, a linear impairment error based on the error absent the linear error portion, wherein said adapting, via the adapting component, the digital pre-distortion component with the third sample set of data based on one of the first comparison and the second comparison comprises adapting the digital pre-distortion component additionally based on the linear impairment error.

12 . The method of training a digital pre-distortion component of claim 1 , further comprising;
modeling, via a feedback component, error; determining, via a linear error determining component, a linear error portion of the modeled error; and generating, via an error generating component, a linear impairment error based on the error absent the linear error portion, wherein said adapting, via the adapting component, the digital pre-distortion component with the third sample set of data based on one of the first comparison and the second comparison comprises adapting the digital pre-distortion component additionally based on the linear impairment error.

13 . A digital pre-distortion component trainer comprising:
a digital pre-distortion component; a first capturing component operable to capture a first sample set of received data; a first generating component operable to generate a first change matrix associated with a portion of the first sample set of received data; a first memory component operable to store the first change matrix; a second capturing component operable to capture a second sample set of received data; a second generating component operable to generate a second change matrix associated with a portion of the second sample set of received data; a second memory component operable to store the second change matrix; a third capturing component operable to capture a third sample set of received data; a third generating component operable to generate a third change matrix associated with a portion of the third sample set of received data; a comparing component operable to compare the third change matrix with the first change matrix to obtain a first comparison, and to compare the third change matrix with the second change matrix to obtain a second comparison; and an adapting component operable to adapt said digital pre-distortion component with the third sample set of data based on one of the first comparison and the second comparison.

14 . The digital pre-distortion component trainer of claim 13 ,
wherein said first capturing component, said second capturing component and said third capturin

Assignees

• Texas Instruments Inc

Inventors

• Yang Zigang
• Blazquez Raul
• Gandhi Hardik Prakash
• Chen Xiaohan
• Jorgensen Lars

Classifications

• H04B2001/0425

  with linearisation using predistortion · CPC title

• H04W88/08

  Access point devices · CPC title

• H03F1/3241

  using predistortion circuits (H03F1/3211, H03F1/3217 take precedence) · CPC title

• H04B1/0475 Primary

  with means for limiting noise, interference or distortion (H04B1/0483 takes precedence) · CPC title

• H03F2200/111

  the amplifier being a dual or triple band amplifier, e.g. 900 and 1800 MHz, e.g. switched or not switched, simultaneously or not · CPC title