IP Library Granted Patent US 8,666,704
Granted Patent B2
US 8,666,704 · App. 11/830,719 · Granted Mar 4, 2014

Visualization of radio frequency coverage

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Quick Facts
Patent No.
US 8,666,704
App. No.
11/830,719
Granted
Mar 4, 2014
Kind
B2
Abstract

Radio Frequency (RF) coverage models are visualized by displaying three dimensional unity scaled models of antenna performance in a Geographic Information System (GIS), Traditional logarithmic scaled antenna models are converted to linear models and stored as three dimensional representations which are placed and scaled using a GIS to visualize RF coverage.

Claims (42)

1. A non-transitory machine readable medium comprising a set of instructions which, when executed by at least one processor, cause performance of a set of operations comprising:

generating a first antenna model which represents a first three dimensional visualization of a response pattern of an antenna;

scaling the first antenna model in three dimensions based at least on an antenna absolute gain to obtain a second antenna model which represents a second three dimensional visualization of the response pattern of the antenna,

wherein the antenna absolute gain comprises a linear scaling factor value used for scaling the first antenna model, the first antenna model being a linear antenna model;

wherein the first antenna model represents relative antenna gain values and the second antenna model represents absolute antenna gain values; and

displaying the second three dimensional visualization with respect to geographical information or storing the second antenna model with respect to geographical information.

2. The non-transitory machine readable medium of claim 1 wherein generating the first antenna model comprises generating a linear antenna model by converting a logarithmic antenna model.

3. The non-transitory machine readable medium of claim 1 wherein the first antenna model is generated using RF parameters including antenna data, the antenna data comprises at least one of (i) antenna pattern models, (ii) antenna test data, and (iii) antenna pattern plots.

4. The non-transitory machine readable medium of claim 1 , wherein scaling the first antenna model to obtain the second antenna model comprises:

applying the antenna absolute gain to values corresponding to all axes of the first three dimensional visualization.

5. The non-transitory machine readable medium of claim 1 , wherein scaling the first antenna model to obtain the second antenna model comprises:

scaling the first antenna model to represent maximum predicted distance for the response pattern of the antenna based on account feedline losses and transmitter power limits imposed by both (a) hardware and (b) regulatory requirements.

6. The non-transitory machine readable medium of claim 1 , wherein the second antenna model represents signal to noise ratio.

7. The non-transitory machine readable medium of claim 1 , wherein the second antenna model represents transmit or receive signal levels.

8. The non-transitory machine readable medium of claim 1 , wherein the second antenna model represents associated data rates of radio links based on transmit or receive signal levels or signal to noise ratio.

9. The non-transitory machine readable medium of claim 1 , wherein the second antenna model represents throughput of radio links based on transmit or receive signal levels or signal to noise ratio.

10. The non-transitory machine readable medium of claim 1 , wherein prior to scaling the first antenna model, associating the first antenna model with a placemark in a geographical information system.

11. A method comprising:

generating a first antenna model which represents a first three dimensional visualization of a response pattern of an antenna;

scaling the first antenna model in three dimensions based at least on an antenna absolute gain to obtain a second antenna model which represents a second three dimensional visualization of the response pattern of the antenna,

wherein the antenna absolute gain comprises a linear scaling factor value used for scaling the first antenna model, the first antenna model being a linear antenna model;

wherein the first antenna model represents relative antenna gain values and the second antenna model represents absolute antenna gain values; and

displaying the second three dimensional visualization with respect to geographical information or storing the second antenna model with respect to geographical information;

wherein the method is performed by at least one device comprising a hardware processor.

12. A system comprising:

at least one device including a hardware processor;

the system being configured to perform the operations of:

generating a first antenna model which represents a first three dimensional visualization of a response pattern of an antenna;

scaling the first antenna model in three dimensions based at least on an antenna absolute gain to obtain a second antenna model which represents a second three dimensional visualization of the response pattern of the antenna,

wherein the antenna absolute gain comprises a linear scaling factor value used for scaling the first antenna model, the first antenna model being a linear antenna model;

wherein the first antenna model represents relative antenna gain values and the second antenna model represents absolute antenna gain values; and

displaying the second three dimensional visualization with respect to geographical information or storing the second antenna model with respect to geographical information.

13. The system of claim 12 , wherein scaling the first antenna model to obtain the second antenna model comprises:

scaling the first antenna model to represent maximum predicted distance for the response pattern of the antenna based on account feedline losses and transmitter power limits imposed by both (a) hardware and (b) regulatory requirements.

14. The system of claim 12 , wherein the second antenna model represents signal to noise ratio.

15. The system of claim 12 , wherein the second antenna model represents transmit or receive signal levels.

16. The system of claim 12 , wherein the second antenna model represents associated data rates of radio links based on transmit or receive signal levels or signal to noise ratio.

17. The system of claim 12 , wherein the second antenna model represents throughput of radio links based on transmit or receive signal levels or signal to noise ratio.

18. The system of claim 12 wherein generating the first antenna model comprises generating a linear antenna model by converting a logarithmic antenna model.

19. The system of claim 12 wherein the first antenna model is generated using RF parameters including antenna data, the antenna data comprises at least one of (i) antenna pattern models, (ii) antenna test data, and (iii) antenna pattern plots.

20. w) The system of claim 12 , wherein scaling the first antenna model to obtain the second antenna model comprises:

applying the antenna absolute gain to values corresponding to all axes of the first three dimensional visualization.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 11, 2018
From: ARUBA NETWORKS, INC.
To: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Reel/Frame 045921/0055 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 10, 2015
From: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
To: ARUBA NETWORKS, INC.
Reel/Frame 036379/0274 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 3, 2015
From: ARUBA NETWORKS, INC.
To: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Reel/Frame 035814/0518 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 30, 2007
From: VITEK, CLARK A.
To: ARUBA NETWORKS, INC.
Reel/Frame 019622/0359 →