Array antenna adaptive digital pre-distortion with bayesian observation analysis

Patent metadata

Field	Value
Publication number	US-11637609-B2
Application number	US-201817274337-A
Country	US
Kind code	B2
Filing date	Sep 10, 2018
Priority date	Sep 10, 2018
Publication date	Apr 25, 2023
Grant date	Apr 25, 2023

Abstract

Systems, methods, apparatuses, and computer program products for array antenna adaptive digital pre-distortion with Bayesian observation analysis are provided. One method may include selecting a plurality of patch elements from an array antenna of a network element. The method may also include determining an accuracy confidence value for each patch element. A set of coefficients of the antenna array may be generated. In addition, an ensemble of non-linear forward models may be generated using the accuracy confidence value and the set of coefficients. Further, an array of pre-distortion signals may be generated using the ensemble of non-linear forward models, and each antenna of the array antenna may be configured with a corresponding pre-distortion signal from the array of pre-distortion signals.

First claim

We claim:

1. A method, comprising:
selecting a plurality of patch elements from an array antenna of a network element;
determining an accuracy confidence value for each patch element;
generating a set of coefficients of the array antenna;
generating an ensemble of non-linear forward models using the accuracy confidence value and the set of coefficients;
generating an array of pre-distortion signals using the ensemble of non-linear forward models; and
configuring each antenna of the array antenna with a corresponding pre-distortion signal from the array of pre-distortion signals.

2. The method according to claim 1 , wherein the method further comprises obtaining model weights for the array antenna.

3. The method according to claim 1 , wherein selecting the plurality of patch elements comprises:
selecting at least four different patch elements.

4. The method according to claim 1 , wherein the determining the accuracy confidence value is based on build data of each antenna of the array antenna.

5. The method according to claim 1 , wherein the configuring comprises:
linearizing the array antenna with the pre-distortion signal.

6. The method according to claim 1 , wherein the determining the accuracy confidence value comprises implementing a Bayesian formula.

7. A non-transitory computer readable medium comprising a computer program having instructions stored thereon which, when executed in an apparatus, cause the apparatus to perform the method according to claim 1 .

8. An apparatus, comprising:
at least one processor; and
at least one memory comprising computer program code,
the at least one memory and computer program code being configured, with the at least one processor, to cause the apparatus at least to
select a plurality of patch elements from an array antenna of a network element;
determine an accuracy confidence value for each patch element;
generate a set of coefficients of the array antenna;
generate an ensemble of non-linear forward models using the accuracy confidence value and the set of coefficients;
generate an array of pre-distortion signals using the ensemble of non-linear forward models; and
configure each antenna of the array antenna with a corresponding pre-distortion signal from the array of pre-distortion signals.

9. The apparatus according to claim 8 , wherein the at least one memory and computer program code are configured, with the at least one processor, to cause the apparatus at least to:
obtain model weights for the array antenna.

10. The apparatus according to claim 8 , wherein the at least one memory and computer program code are configured, with the at least one processor, to cause the apparatus at least to:
select at least four different patch elements.

11. The apparatus according to claim 8 , wherein the determining the accuracy confidence value is based on build data of each antenna of the array antenna.

12. The apparatus according to claim 8 , wherein the at least one memory and computer program code are configured, with the at least one processor, to cause the apparatus at least to:
linearize the array antenna with the pre-distortion signal.

13. The apparatus according to claim 8 , wherein the at least one memory and computer program code are configured, with the at least one processor, to cause the apparatus at least to:
implement a Bayesian formula in determining the accuracy confidence value.

14. An apparatus, comprising:
circuitry configured to select a plurality of patch elements from an array antenna of a network element;
circuitry configured to determine an accuracy confidence value for each patch element;
circuitry configured to generate a set of coefficients of the array antenna;
circuitry configured to generate an ensemble of non-linear forward models using the accuracy confidence value and the set of coefficients;
circuitry configured to generate an array of pre-distortion signals using the ensemble of non-linear forward models; and
circuitry configured to configure each antenna of the array antenna with a corresponding pre-distortion signal from the array of pre-distortion signals.

Assignees

• Nokia Solutions & Networks Oy

Inventors

• Alijan Mehdi
• Barabash Darrell

Classifications

• H01Q3/2605 Primary

  Array of radiating elements provided with a feedback control over the element weights, e.g. adaptive arrays · CPC title

• H04B7/0617

  for beam forming · CPC title

• H04B2001/0425

  with linearisation using predistortion · CPC title

• H04B7/0691 Primary

  using subgroups of transmit antennas · CPC title

• H01Q21/065

  Patch antenna array · CPC title