Methods and apparatus for 3D radar data from 2D primary surveillance radar and passive adjunct radar

• US 9,250,317 B1
• Filed: 12/20/2012
• Issued: 02/02/2016
• Est. Priority Date: 12/20/2012
• Status: Active Grant

• Current Assignee: Raytheon Canada Limited (Rtx Corporation)
• Original Assignee: Raytheon Canada Limited (Rtx Corporation)
• Inventors: Wang, Jian, Brookner, Eli, Drake, Peter R., Fournier, Bradley, Ponsford, Anthony M., Chang, Yueh-Chi
• Primary Examiner(s): Brainard, Timothy A
• Application Number:
  US13/721,233
• Publication Number:
  US 20160025849A1
• Time in Patent Office: 1,139 Days
• Field of Search: 342/90, 342/125, 342/179
• US Class Current: 1/1
• CPC Class Codes: G01S 13/003 Bistatic radar systems; Multistatic radar systems
• CPC Class Codes: G01S 13/006 Theoretical aspects G01S7/418, G01S13/9094, G01S13/958 take precedence
• CPC Class Codes: G01S 13/28 with time compression of received pulses
• CPC Class Codes: G01S 13/424 Stacked beam radar
• CPC Class Codes: G01S 13/426 Scanning radar, e.g. 3D radar G01S13/66 takes precedence
• CPC Class Codes: G01S 13/5244 Adaptive clutter cancellation specially adapted for airborne MTI, G01S13/5242
• CPC Class Codes: G01S 13/726 Multiple target tracking
• CPC Class Codes: G01S 13/878 Combination of several spaced transmitters or receivers of known location for determining the position of a transponder or a reflector G01S13/874 takes precedence
• CPC Class Codes: G01S 13/91 for traffic control G01S13/93 takes precedence
• CPC Class Codes: G01S 13/951 ground based
• CPC Class Codes: G01S 7/023 Interference mitigation, e.g. reducing or avoiding non-intentional interference with other HF-transmitters, base station transmitters for mobile communication or other radar systems, e.g. using electro-magnetic interference [EMI] reduction techniques auxiliary means for detecting or identifying radar signals or the like G01S7/021; means for anti-jamming G01S7/36
• CPC Class Codes: G01S 7/4021 of receivers
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

Methods and apparatus for combining radar signals of a two-dimensional primary radar covering a surveillance area and a passive adjunct radar to provide three-dimensional data for targets and weather. In exemplary embodiments, high beam and low beam data from the primary radar and elevation data from the adjunct radar can be used to mitigate interference from clutter, such as wind farms.

Claims

1. A method, comprising:

transmitting radar signals using a two-dimensional primary radar to cover a surveillance area;

receiving return from the transmitted radar signals at the primary radar;

performing high beam and low beam pulse compression on the received return to provide high beam data and low beam data;

receiving return from the transmitted radar signal at a passive adjunct radar comprising elevation beam data;

synchronizing the primary radar and the adjunct radar;

combining range and azimuth data from the primary radar with elevation data from the adjunct radar to provide three-dimensional data for targets and weather; and

integrating data from the primary radar with data from adjunct radar to improve coverage of the radar.

2. The method according to claim 1, wherein the low beam data comprises targets and interference and wherein some elevation beam data contains interference and not targets;

performing adaptive filtering of the low beam data and the elevation beam data to remove the interference.

3. The method according to claim 2, wherein the interference is generated by a wind farm.

4. The method according to claim 1, providing capability to simultaneously detect and track surface, low flying and air targets.

5. The method according to claim 1, further including using a land clutter path and a no-land clutter path for the elevation beam data.

6. The method according to claim 5, wherein the land-clutter path includes CFAR processing.

7. The method according to claim 5, further including adaptively using weather clutter cancellation in the no-land clutter path.

8. The method according to claim 1, further including aligning the primary radar and the adjunct radar to the same azimuth while scanning.

9. The method according to claim 1, further including performing height estimation for a target using the elevation beam data.

10. The method according to claim 9, further including performing monopulse processing for the height estimation.

11. The method according to claim 9, further including performing maximum likelihood estimation for the height estimation.

12. The method according to claim 1, further including performing 3D weather estimation using the adjunct radar data.

13. The method according to claim 1, wherein the primary radar and the adjunct radar are located to form a bistatic configuration.

14. An article, comprising:

a computer-readable medium containing non-transitory stored instructions that enable a machine to perform;

transmitting radar signals using a two-dimensional primary radar to cover a surveillance area;

receiving return from the transmitted radar signals at the primary radar;

performing high beam and low beam pulse compression on the received return to provide high beam data and low beam data;

receiving return from the transmitted radar signal at a passive adjunct radar comprising elevation beam data;

synchronizing the primary radar and the adjunct radar;

combining range and azimuth data from the primary radar with elevation data from the adjunct radar to provide three-dimensional data for targets and weather; and

integrating data from the primary radar with data from adjunct radar to improve coverage of the radar.

15. The article according to claim 14, wherein the low beam data comprises targets and interference and wherein some elevation beam data contains interference and not targets.

16. The article according to claim 15, further including instructions for performing adaptive filtering of the low beam data and the elevation beam data to remove the interference.

17. The article according to claim 14, further including instructions for using a land clutter path and a no-land clutter path for the elevation beam data.

18. The article according to claim 17, further including adaptively using weather clutter cancellation in the no-land clutter path.

19. The article according to claim 14, further including instructions for aligning the primary radar and the adjunct radar to the same azimuth while scanning.

20. A radar system, comprising:

a two-dimensional primary radar to cover a surveillance area by transmitting radar signals;

an antenna to receive return from the transmitted radar signals at the primary radar;

an adjunct radar having antenna to receive return from the transmitted radar signal comprising elevation beam data;

a processor; and

a memory coupled to the processor, the processor and the memory configured to;

synchronize the primary radar and the adjunct radar;

perform high beam and low beam pulse compression on the received return to provide high beam data and low beam data;

combine range and azimuth data from the primary radar with elevation data from the adjunct radar to provide three-dimensional data for targets and weather; and

integrate data from the primary radar with data from adjunct radar to improve coverage of the radar.