IP Library Granted Patent US 12,287,359
Granted Patent B1
US 12,287,359 · App. 17/990,313 · Granted Apr 29, 2025

Using near-field testing to determine how a radome affects the RF characteristics of an antenna

Inventors: Jonothan Pryor (Bellbrook, OH); Brent Collins (Bellbrook, OH); Nathan Thomas Kornbau (Beavercreek, OH); Jeremy Micah North (Dayton, OH); Kurt Strickler (Mansfield, OH); Mark Scott (Decatur, GA)
Assignee: Resonant Sciences, LLC
G01R29/10G01R29/0878
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Quick Facts
Patent No.
US 12,287,359
App. No.
17/990,313
Filed
Nov 18, 2022
Granted
Apr 29, 2025
Kind
B1
Art Unit
2858
USPC
324/637
Abstract

An RF characterization system includes a processor that executes program instructions to determine how a radome affects RF characteristics of an antenna by retrieving near field measurement data of the radome and antenna, receiving an electronic image representation of the radome, and obtaining near field RF properties of the radome and antenna by combining the near field measurement data and the electronic image representation.

Claims (41)

1. A method comprising:

determining, by a processor, near field properties of a radome and antenna by combining near field measurement data of the radome and antenna with an electronic image representation of the radome;

the near field measurement data including (a) position identifiers that identify positions on the radome where the near field measurement data were measured and (b) RF parameters measured at the positions on the radome identified by the position identifiers; and

the electronic image representation of the radome including positions thereon corresponding to the position identifiers.

2. The method of claim 1 , wherein the RF parameters include S parameters.

3. The method of claim 1 , wherein the near field measurement data further include (c) incidence angles of the antenna relative to the radome at the positions on the radome identified by the position identifiers.

4. The method of claim 1 , wherein the near field properties include at least one of insertion loss, beam deflection error, beam deflection error slope, sidelobe levels, null depth variation, and cross-polarization discrimination.

5. The method of claim 1 , further comprising determining far field RF properties of the radome from the near field properties of the radome.

6. The method of claim 1 , further comprising predicting pattern effects of the radome from a different antenna using the near field properties.

7. The method of claim 1 , wherein the electronic image representation of the radome is a digital three-dimensional representation of the radome.

8. A system comprising a processor that executes program instructions to characterize a radome and antenna by:

determining, by the processor, near field properties of the radome and antenna by combining near field measurement data of the radome and an electronic image representation of the radome;

the near field measurement data including (a) position identifiers that identify positions on the radome where the near field measurement data were measured and (b) RF parameters measured at the positions on the radome identified by the position identifiers; and

the electronic image representation of the radome including positions thereon corresponding to the position identifiers.

9. The system of claim 8 , wherein the RF parameters include S-parameters.

10. The system of claim 8 , wherein the near field measurement data include (c) incidence angles of the antenna relative to the radome at the positions on the radome identified by the position identifiers.

11. The system of claim 8 , wherein the near field properties include at least one of insertion loss, beam deflection error, beam deflection error slope, sidelobe levels, null depth variation, and cross-polarization discrimination.

12. The system of claim 8 , wherein the processor further executes program instructions to determine far field RF properties of the radome and antenna from the near field properties of the radome and antenna.

13. The system of claim 8 , wherein the processor further executes program instructions to predict RF pattern effects of the radome from a different antenna using the near field properties.

14. The system of claim 8 , wherein the electronic image representation of the radome is a digital three-dimensional representation of the radome.

15. An RF characterization system comprising:

a radome supported by a radome support member;

a transmit antenna positioned on a first side of the radome by a first robotic arm;

a receive antenna positioned on a second side of the radome by a second robotic arm;

a vector network analyzer in communication with the transmit antenna and receive antenna;

a processor that executes program instructions to determine how the radome affects RF characteristics of the transmit antenna by:

moving the transmit antenna and the receive antenna with the first robotic arm and the second robotic arm, respectively, to different positions of the radome; and

collecting near field measurement data of the radome and antenna at the different positions, the near field measurement data including (a) a plurality of position identifiers that identify the different positions on the radome where the near field measurement data were measured and (b) RF parameters measured at the different positions on the radome identified by the position identifiers.

16. The RF characterization system of claim 15 , wherein the processor further executes program instructions to determine how the radome affects RF characteristics of the antenna by:

receiving an electronic image representation of the radome, the electronic image representation of the radome including positions thereon corresponding to the position identifiers; and

obtaining near field RF properties of the radome, transmit antenna, and receive antenna by combining the near field measurement data and the electronic image representation.

17. The RF characterization system of claim 15 , wherein the RF parameters include S-parameters.

18. The RF characterization system of claim 15 , wherein the near field measurement data include (c) incidence angles of the transmit antenna relative to the radome at the positions on the radome identified by the position identifiers.

19. The RF characterization system of claim 15 , wherein the RF parameters include at least one of insertion loss, beam deflection error, beam deflection error slope, sidelobe levels, null depth variation, and cross-polarization discrimination.

20. The RF characterization system of claim 16 , wherein the processor further executes program instructions to determine far field RF properties of the radome and antenna from the near field RF properties.

21. The RF characterization system of claim 16 , wherein the processor further executes program instructions to predict pattern effects of the radome from a different antenna using the near field RF properties.

22. The RF characterization system of claim 16 , wherein the electronic image representation of the radome is a digital three-dimensional representation of the radome.

23. A system for predicting pattern effects of a radome on a test antenna, the system comprising a processor that executes program instructions to:

calculate pattern effects of the radome on the test antenna using near field measurement data and an electronic image representation of the radome;

the near field measurement data including (a) a plurality of position identifiers that identify positions on the radome where the near field measurement data were measured and (b) RF parameters measured at the positions on the radome identified by the position identifiers; and

the electronic image representation of the radome including positions thereon corresponding to the position identifiers.

Assignments (2)
SECURITY INTEREST Recorded Sep 1, 2023
From: RESONANT SCIENCES LLC
To: LBC CREDIT AGENCY SERVICES, LLC, AS AGENT
Reel/Frame 064774/0769 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 21, 2022
From: PRYOR, JONOTHAN; COLLINS, BRENT; KORNBAU, NATHAN THOMAS; NORTH, JEREMY MICAH; STRICKLER, KURT; SCOTT, MARK
To: RESONANT SCIENCES, LLC
Reel/Frame 061835/0493 →
Continuity (1)
Provisional Application 63280784 · Nov 18, 2021
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