COMPUTING A MAGNETIC HEADING

• US 20140278222A1
• Filed: 03/15/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Brist, Gary A., Daniel, Kevin J.
• Granted Patent: US 10,309,781 B2
• Time in Patent Office: Days
• US Class Current: 702/151
• CPC Class Codes: G01C 17/38 Testing, calibrating, or compensating of compasses

Abstract

Techniques for computing a magnetic heading based on sensor data are described herein. An example of a device in accordance with the present techniques includes a magnetic sensor to collect sensor output data and a heading computation engine to compute a magnetic heading based on the sensor output data. The heading computation engine includes logic to measure a level of noise in the sensor output data. The heading computation engine also includes logic to determine whether to average the sensor output data based, at least in part, on the level of noise. The heading computation engine also includes logic to determine an applied sensor output based on the sensor output data. The heading computation engine also includes logic to compute a magnetic heading based, at least in part, on the applied sensor output.

Claims

1. A computing device, comprising:

a magnetic sensor to collect sensor output data;

a heading computation engine to compute a magnetic heading based on the sensor output data, the heading computation engine comprising;

logic to measure a level of noise in the sensor output data;

logic to determine whether to average the sensor output data based, at least in part, on the level of noise;

logic to determine an applied sensor output based on the sensor output data; and

logic to compute a magnetic heading based, at least in part, on the applied sensor output.

2. The computing device of claim 1, wherein the logic to determine whether to average the sensor output data determines whether to average the sensor output data based, at least in part, a desired heading accuracy.

3. The computing device of claim 1, wherein the logic to determine whether to average the sensor output data determines that the sensor output data is not to be averaged and the applied sensor output is a single sample of the sensor output data.

4. The computing device of claim 1, wherein the logic to determine whether to average the sensor output data computes a threshold noise based on a desired heading accuracy and determines whether the level of noise is below the noise threshold.

5. The computing device of claim 1, wherein the logic to determine whether to average the sensor output data computes a signal magnitude threshold based on the level of noise and a desired heading accuracy and determines whether a signal magnitude of the sensor output data is above the signal magnitude threshold.

6. The computing device of claim 1, comprising a motion sensor to determine whether the magnetic sensor is stationary, wherein the logic to measure a level of noise in the sensor output data measures the level of noise when the magnetic sensor is stationary.

7. The computing device of claim 1, wherein the logic to determine whether to average the sensor output data determines that the sensor output data is to be averaged and the logic to determine the applied sensor output determines a sample size of the sensor output data based, at least in part, on the level of noise.

8. The computing device of claim 7, wherein the logic to determine the applied sensor output determines the sample size based on the level of noise, a desired heading accuracy, and a confidence level.

9. The computing device of claim 2, comprising a user interface that enables a user to specify the desired heading accuracy.

10. The computing device of claim 2, wherein the desired heading accuracy is specified by an application of the computing device.

11. A method, comprising:

receiving sensor output data from a magnetic sensor;

measuring a level of noise in the sensor output data;

determining whether to average the sensor output data based, at least in part, on the level of noise;

determining an applied sensor output based on the sensor output data;

computing a magnetic heading based, at least in part, on the applied sensor output; and

sending the magnetic heading to a component of a computing device for use by an application.

12. The method claim 11, wherein determining whether to average the sensor output data comprises determining whether to average the sensor output data based, at least in part, on a desired heading accuracy.

13. The method claim 11, comprising, if it is determined that the sensor output data is not to be averaged, setting the applied sensor output as a single sample of the sensor output data.

14. The method of claim 11, wherein determining whether to average the sensor output data comprises computing a threshold noise based on a desired heading accuracy and determining whether the level of noise is below the noise threshold.

15. The method of claim 11, wherein determining whether to average the sensor output data comprises computing a signal magnitude threshold based on the level of noise and a desired heading accuracy and determining whether a signal magnitude of the sensor output data is above the signal magnitude threshold.

16. The method of claim 11, wherein measuring the level of noise in the sensor output data comprises measuring the level of noise when the magnetic sensor is stationary.

17. The method of claim 11, comprising, if it is determined that the sensor output data is to be averaged, determining a sample size of the sensor output data based, at least in part, on the level of noise.

18. The method of claim 17, wherein the sample size is determined based on the level of noise, a desired heading accuracy, and a confidence level.

19. The method of claim 12, comprising receiving the desired heading accuracy specified by a user.

20. The method of claim 12, comprising receiving the desired accuracy from an application of the computing device.

21. A non-transitory, tangible, machine-readable medium having instructions stored thereon that, when executed by a processor, direct the processor to:

receive sensor output data from a magnetic sensor;

measure a level of noise in the sensor output data;

determine whether to average the sensor output data based, at least in part, on the level of noise;

determine an applied sensor output based on the sensor output data; and

compute a magnetic heading based, at least in part, on the applied sensor output.

22. The machine-readable medium of claim 21, wherein the instructions that direct the processor to determine whether to average the sensor output data determine whether to average the sensor output data based, at least in part, on a desired heading accuracy.

23. The machine-readable medium of claim 21, comprising instructions that direct the processor to use a single sample of the sensor output data as the applied sensor output if it is determined that the sensor output data is not to be averaged.

24. The machine-readable medium of claim 21, comprising instructions that direct the processor to compute a threshold noise based on a desired heading accuracy and determine whether the level of noise is below the noise threshold to determine whether to average the sensor output data.

25. The machine-readable medium of claim 21, comprising instructions that direct the processor to compute a signal magnitude threshold based on the level of noise and a desired heading accuracy and determine whether a signal magnitude of the sensor output data is above the signal magnitude threshold to determine whether to average the sensor output data.

26. The machine-readable medium of claim 21, comprising instructions that direct the processor to determine whether the magnetic sensor is stationary and measure the level of noise of the sensor output data only if the magnetic sensor is stationary.

27. The machine-readable medium of claim 21, comprising instructions that direct the processor to determine a sample size of the sensor output data based, at least in part, on the level of noise if it is determined that the sensor output data is to be averaged.

28. The machine-readable medium of claim 27, comprising instructions that direct the processor to determine the sample size based on the level of noise, a desired heading accuracy, and a confidence level.

29. The machine-readable medium of claim 22, comprising instructions that direct the processor to receive the desired heading accuracy from a user.

30. The machine-readable medium of claim 22, comprising instructions that direct the processor to receive the desired accuracy from an application executing on a computing device.