LOW POWER GEOGRAPHIC STATIONARITY DETECTION

• US 20130237241A1
• Filed: 03/07/2012
• Published: 09/12/2013
• Est. Priority Date: 03/07/2012
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Burke, John Michael
• Granted Patent: US 8,805,402 B2
• Time in Patent Office: Days
• US Class Current: 455/456.1
• CPC Class Codes: G01P 13/00 Indicating or recording presence, absence, or direction, of movement electric switches H01H; counting moving objects G06M7/00
• CPC Class Codes: H04W 4/00 Services specially adapted for wireless communication networks; Facilities therefor
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

Identifying geographic stationarity of a mobile device may be achieved by determining whether the mobile device is engaged in high average velocity movement based on radio frequency (RF) environment variation estimation, determining whether the mobile device is engaged in low average velocity movement based on pedestrial stepping information, and declaring a stationary state for the mobile device based on an absence of high and low average velocity movement.

Claims

1. A method of identifying geographic stationarity of a mobile device, comprising:

determining whether the mobile device is engaged in high average velocity movement based on a radio frequency (RF) environment variation estimation;

determining whether the mobile device is engaged in low average velocity based on pedestrial stepping information; and

declaring a stationary state for the mobile device based on an absence of high and low average velocity movement.

2. The method of claim 1, wherein the stationary state corresponds to absolute stationarity of the mobile device or fidgeting by a user of the mobile device, in which a geographic location of the mobile device remains substantially constant.

3. The method of claim 1, further comprising:

monitoring absolute stationarity of the mobile device using an accelerometer, wherein determining whether the mobile device is engaged in high average velocity movement is not initiated until the monitoring indicates at least some motion, and wherein determining whether the mobile device is engaged in low average velocity movement is not initiated until the mobile device is determined to not be engaged in high average velocity movement.

4. The method of claim 1, further comprising:

declaring a moving state for the mobile device when the mobile device is determined to be engaged in high or low average velocity movement.

5. The method of claim 1, further comprising:

declaring a moving state for the mobile device when RF environment information is not available.

6. The method of claim 1, wherein the RF environment variation estimation is derived from wireless wide area network base station signaling.

7. The method of claim 6, further comprising:

determining whether the wireless wide area network base station is geographically stationary; and

prompting declaration of a moving state for the mobile device when the wireless wide area network base station is not geographically stationary.

8. The method of claim 7, wherein determining whether the wireless wide area network base station is geographically stationary comprises:

determining a geographic location of the mobile device;

determining that the geographic location corresponds to being at sea; and

declaring that the wireless wide area network base station is not geographically stationary.

9. The method of claim 7, wherein determining whether the wireless wide area network base station is geographically stationary comprises:

collecting wireless wide area network base station system and network identification information;

determining that the wireless wide area network base station is located on a cruise ship; and

declaring that the wireless wide area network base station is not geographically stationary.

10. The method of claim 1, wherein determining whether the mobile device is engaged in high average velocity movement comprises:

monitoring RF signaling received by the mobile device;

tracking a received RF signal envelope; and

estimating a velocity of the mobile device based on squared deviations of a logarithmically compressed representation of the received RF signal envelope.

11. The method of claim 1, wherein determining whether the mobile device is engaged in high average velocity movement comprises:

monitoring RF signaling received by the mobile device;

tracking a received RF signal envelope; and

estimating a velocity of the mobile device based on a level crossing rate of a logarithmically compressed representation of the received RF signal envelope.

12. The method of claim 1, wherein determining whether the mobile device is engaged in low average velocity movement comprises:

detecting any pedestrial steps associated with a user of the mobile device during an observation period based on accelerometer signals;

determining a maximum number of consecutive pedestrial steps taken during the observation period from the detected pedestrial steps; and

determining whether the mobile device is engaged in low average velocity movement for the observation period based on the determined maximum number of consecutive pedestrial steps

13. The method of claim 1, further comprising:

disabling at least one geographical location update of the mobile device in response to declaring the stationary state.

14. The method of claim 1, wherein low average velocity movement corresponds to continuous walking or running by a user of the mobile device, and wherein high average velocity movement corresponds to automotive, aircraft, watercraft, or bicycle travel.

15. An apparatus for identifying geographic stationarity of a mobile device, comprising:

at least one processor configured to;

determine whether the mobile device is engaged in high average velocity movement based on a radio frequency (RF) environment variation estimation,

determine whether the mobile device is engaged in low average velocity movement based on pedestrial stepping information, and

declare a stationary state for the mobile device based on an absence of high and low average velocity movement; and

memory coupled to the at least one processor and configured to store related data and instructions.

16. The apparatus of claim 15, wherein the stationary state corresponds to absolute stationarity of the mobile device or fidgeting by a user of the mobile device, in which a geographic location of the mobile device remains substantially constant.

17. The apparatus of claim 15, wherein the at least one processor is further configured to:

monitor absolute stationarity of the mobile device using an accelerometer, wherein determining whether the mobile device is engaged in high average velocity movement is not initiated until the monitoring indicates at least some motion, and wherein determining whether the mobile device is engaged in low average velocity movement is not initiated until the mobile device is determined to not be engaged in high average velocity movement.

18. The apparatus of claim 15, wherein the at least one processor is further configured to:

declare a moving state for the mobile device when RF environment information is not available.

19. The apparatus of claim 15, wherein the RF environment variation estimation is derived from wireless wide area network base station signaling.

20. The apparatus of claim 19, wherein the at least one processor is further configured to:

determine whether the wireless wide area network base station is geographically stationary; and

prompt declaration of a moving state for the mobile device when the wireless wide area network base station is not geographically stationary.

21. The apparatus of claim 15, wherein determining whether the mobile device is engaged in high average velocity movement comprises:

monitoring RF signaling received by the mobile device;

tracking a received RF signal envelope; and

estimating a velocity of the mobile device based on squared deviations or a level crossing rate of a logarithmically compressed representation of the received RF signal envelope.

22. The apparatus of claim 15, wherein determining whether the mobile device is engaged in low average velocity movement comprises:

detecting any pedestrial steps associated with a user of the mobile device during an observation period based on accelerometer signals;

determining a maximum number of consecutive pedestrial steps taken during the observation period from the detected pedestrial steps; and

determining whether the mobile device is engaged in low average velocity movement for the observation period based on the determined maximum number of consecutive pedestrial steps

23. The apparatus of claim 15, wherein the at least one processor is further configured to:

disable at least one geographical location update of the mobile device in response to declaring the stationary state.

24. The apparatus of claim 15, wherein low average velocity movement corresponds to continuous walking or running by a user of the mobile device, and wherein high average velocity movement corresponds to automotive, aircraft, watercraft, or bicycle travel.

25. An apparatus for identifying geographic stationarity of a mobile device, comprising:

means for determining whether the mobile device is engaged in high average velocity movement based on a radio frequency (RF) environment variation estimation;

means for determining whether the mobile device is engaged in low average velocity movement based on pedestrial stepping information; and

means for declaring a stationary state for the mobile device based on an absence of high and low average velocity movement.

26. The apparatus of claim 25, wherein the stationary state corresponds to absolute stationarity of the mobile device or fidgeting by a user of the mobile device, in which a geographic location of the mobile device remains substantially constant.

27. The apparatus of claim 25, further comprising:

means for monitoring absolute stationarity of the mobile device using an accelerometer, wherein the means for determining whether the mobile device is engaged in high average velocity movement is not initiated until the monitoring indicates at least some motion, and wherein the means for determining whether the mobile device is engaged in low average velocity movement is not initiated until the mobile device is determined to not be engaged in high average velocity movement.

28. The apparatus of claim 25, further comprising:

means for declaring a moving state for the mobile device when RF environment information is not available.

29. The apparatus of claim 25, wherein the RF environment variation estimation is derived from wireless wide area network base station signaling.

30. The apparatus of claim 29, further comprising:

means for determining whether the wireless wide area network base station is geographically stationary; and

means for prompting declaration of a moving state for the mobile device when the wireless wide area network base station is not geographically stationary.

31. The apparatus of claim 25, wherein the means for determining whether the mobile device is engaged in high average velocity movement comprises:

means for monitoring RF signaling received by the mobile device;

means for tracking a received RF signal envelope; and

means for estimating a velocity of the mobile device based on squared deviations or a level crossing rate of a logarithmically compressed representation of the received RF signal envelope.

32. The apparatus of claim 25, wherein the means for determining whether the mobile device is engaged in low average velocity movement comprises:

means for detecting any pedestrial steps associated with a user of the mobile device during an observation period based on accelerometer signals;

means for determining a maximum number of consecutive pedestrial steps taken during the observation period from the detected pedestrial steps; and

means for determining whether the mobile device is engaged in low average velocity movement for the observation period based on the determined maximum number of consecutive pedestrial steps

33. The apparatus of claim 25, further comprising:

means for disabling at least one geographical location update of the mobile device in response to declaring the stationary state.

34. The apparatus of claim 25, wherein low average velocity movement corresponds to continuous walking or running by a user of the mobile device, and wherein high average velocity movement corresponds to automotive, aircraft, watercraft, or bicycle travel.

35. A non-transitory computer-readable medium comprising code, which, when executed by a processor, causes the processor to perform operations for identifying geographic stationarity of a mobile device, the computer-readable medium comprising:

code for determining whether the mobile device is engaged in high average velocity movement based on a radio frequency (RF) environment variation estimation;

code for determining whether the mobile device is engaged in low average velocity movement based on pedestrial stepping information; and

code for declaring a stationary state for the mobile device based on an absence of high and low average velocity movement.

36. The computer-readable medium of claim 35, wherein the stationary state corresponds to absolute stationarity of the mobile device or fidgeting by a user of the mobile device, in which a geographic location of the mobile device remains substantially constant.

37. The computer-readable medium of claim 35, further comprising:

code for monitoring absolute stationarity of the mobile device using an accelerometer, wherein the code for determining whether the mobile device is engaged in high average velocity movement is not initiated until the monitoring indicates at least some motion, and wherein the code for determining whether the mobile device is engaged in low average velocity movement is not initiated until the mobile device is determined to not be engaged in high average velocity movement.

38. The computer-readable medium of claim 35, further comprising:

code for declaring a moving state for the mobile device when RF environment information is not available.

39. The computer-readable medium of claim 35, wherein the RF environment variation estimation is derived from wireless wide area network base station signaling.

40. The computer-readable medium of claim 39, further comprising:

code for determining whether the wireless wide area network base station is geographically stationary; and

code for prompting declaration of a moving state for the mobile device when the wireless wide area network base station is not geographically stationary.

41. The computer-readable medium of claim 35, wherein the code for determining whether the mobile device is engaged in high average velocity movement comprises:

code for monitoring RF signaling received by the mobile device;

code for tracking a received RF signal envelope; and

code for estimating a velocity of the mobile device based on squared deviations or a level crossing rate of a logarithmically compressed representation of the received RF signal envelope.

42. The computer-readable medium of claim 35, wherein the code for determining whether the mobile device is engaged in low average velocity movement comprises:

code for detecting any pedestrial steps associated with a user of the mobile device during an observation period based on accelerometer signals;

code for determining a maximum number of consecutive pedestrial steps taken during the observation period from the detected pedestrial steps; and

code for determining whether the mobile device is engaged in low average velocity movement for the observation period based on the determined maximum number of consecutive pedestrial steps

43. The computer-readable medium of claim 35, further comprising:

code for disabling at least one geographical location update of the mobile device in response to declaring the stationary state.

44. The computer-readable medium of claim 35, wherein low average velocity movement corresponds to continuous walking or running by a user of the mobile device, and wherein high average velocity movement corresponds to automotive, aircraft, watercraft, or bicycle travel.