Method to optimize beams for phased array antennas

Patent metadata

Field	Value
Publication number	US-11217889-B2
Application number	US-201916539028-A
Country	US
Kind code	B2
Filing date	Aug 13, 2019
Priority date	Aug 13, 2019
Publication date	Jan 4, 2022
Grant date	Jan 4, 2022

Abstract

Systems and methods for forming optimized transmit or receive beams using an array antenna. A parallelized beam forming algorithm is employed that allows the beam to be optimized to increase performance over typical time-delay beam steering. The parallelized beam forming optimization algorithm is based on a limited-memory Broyden-Fletcher-Goldfarb-Shanno algorithm with bound constraints. Using a matrix form of both the beam and beam gradient functions allows parallel optimization through beam matching against a designed target beam. Because the optimization is both efficient and parallelizable, beams may be optimized beams in real time. Hence the optimization technique may be implemented directly as part of a beam steering controller.

First claim

The invention claimed is:

1. A method for forming optimized beams using a phased array antenna, the method comprising:
(a) computing complex coefficients for applying weights and phase shifts to signals for forming a beam having a beam pattern, the complex coefficients being computed using a parallelized constrained optimization algorithm to minimize a sum of a squared error between the beam pattern and a target beam pattern having a desired pointing direction and beam power; and
(b) controlling elements of a phased array antenna to apply the complex coefficients to signals for forming the beam having the beam pattern, wherein the complex coefficients include weights and phase values for elements of the phased array antenna.

2. The method as recited in claim 1 , wherein the parallelized constrained optimization algorithm is a limited-memory Broyden-Fletcher-Goldfarb-Shanno algorithm with bound constraints.

3. The method as recited in claim 2 , wherein the limited-memory Broyden-Fletcher-Goldfarb-Shanno algorithm comprises beam and beam gradient functions in matrix form to enable parallel processing.

4. The method as recited in claim 3 , wherein the parallel processing is performed by a processing unit that uses floating point arithmetic.

5. The method as recited in claim 1 , wherein step (a) further comprises computing complex coefficients for adjusting the beam pattern across frequency for wideband operation.

6. The method as recited in claim 1 , wherein step (a) further comprises computing complex coefficients for nulling interference signals or closing a link.

7. The method as recited in claim 1 , wherein the complex coefficients are applied at subarray elements and super array elements of the phased array antenna.

8. A phased array antenna system comprising:
a phased array antenna comprising a multiplicity of elements;
a transmitter/receiver system operatively coupled to the phased array antenna; and
a beam steering controller comprising a beamforming processor configured to perform operations comprising:
(a) computing complex coefficients for applying weights and phase shifts to signals for forming a beam having a beam pattern, the complex coefficients being computed using a parallelized constrained optimization algorithm to minimize a sum of a squared error between the beam pattern and a target beam pattern having a desired pointing direction and beam power; and
(b) controlling the elements of the phased array antenna to apply the complex coefficients to signals for forming the beam having the beam pattern, wherein the complex coefficients include weights and phase values for elements of the phased array antenna.

9. The phased array antenna system as recited in claim 8 , wherein the parallelized constrained optimization algorithm is a limited-memory Broyden-Fletcher-Goldfarb-Shanno algorithm with bound constraints.

10. The phased array antenna system as recited in claim 9 , wherein the limited-memory Broyden-Fletcher-Goldfarb-Shanno algorithm comprises beam and beam gradient functions in matrix form to enable parallel processing within the beam steering controller.

11. The phased array antenna system as recited in claim 10 , wherein the beam steering controller comprises a processing unit that uses floating point arithmetic.

12. The phased array antenna system as recited in claim 8 , wherein operation (a) further comprises computing complex coefficients for adjusting the beam pattern across frequency for wideband operation.

13. The phased array antenna system as recited in claim 8 , wherein operation (a) further comprises computing complex coefficients for nulling interference signals or closing a link.

14. The phased array antenna system as recited in claim 8 , wherein operations (a) and (b) are implemented by the beam steering controller in real time.

15. The phased array antenna system as recited in claim 8 , wherein the phased array antenna comprises a first level consisting of a multiplicity of subarray elements and a second level consisting of a multiplicity of super array elements, the complex coefficients being applied at the subarray elements and super array elements of the phased array antenna.

16. The phased array antenna system as recited in claim 8 , wherein the beam steering controller further comprises a plurality of interfaces and an interface processor communicatively coupled to the beamforming processor and to the plurality of interfaces.

17. The phased array antenna system as recited in claim 16 , wherein the beamforming processor is a graphics processing unit and the interface processor is a field-programmable gate array.

18. A beam steering controller comprising a beamforming processor configured to perform operations comprising:
(a) computing complex coefficients for applying weights and phase shifts to signals for forming a beam having a beam pattern, the complex coefficients being computed using a parallelized constrained optimization algorithm to minimize a sum of a squared error between the beam pattern and a target beam pattern having a desired pointing direction and beam power; and
(b) controlling elements of a phased array antenna to apply the complex coefficients to signals for forming the beam having the beam pattern, wherein the complex coefficients include weights and phase values for elements of the phased array antenna.

19. The beam steering controller as recited in claim 18 , wherein the parallelized constrained optimization algorithm is a limited-memory Broyden-Fletcher-Goldfarb-Shanno algorithm with bound constraints.

20. The beam steering controller as recited in claim 18 , wherein the beam steering controller further comprises a plurality of interfaces and an interface processor communicatively coupled to the beamforming processor and to the plurality of interfaces, the beamforming processor being a graphics processing unit and the interface processor being a field-programmable gate array.

Assignees

• Boeing Co

Inventors

• Ray Gary A

Classifications

• H01Q3/267 Primary

  Phased-array testing or checking devices · CPC title

• H01Q25/002

  providing at least two patterns of different beamwidth; Variable beamwidth antennas · CPC title

• H04B7/0617 Primary

  for beam forming · CPC title

• H04B7/086

  using weights depending on external parameters, e.g. direction of arrival [DOA], predetermined weights or beamforming · CPC title

• H04B7/0854

  using error minimizing algorithms, e.g. minimum mean squared error [MMSE], "cross-correlation" or matrix inversion · CPC title