AFFECTING ELECTRONIC DEVICE POSITIONING FUNCTIONS BASED ON MEASURED COMMUNICATION NETWORK SIGNAL PARAMETERS

• US 20120169535A1
• Filed: 01/05/2011
• Published: 07/05/2012
• Est. Priority Date: 01/05/2011
• Status: Abandoned Application

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Kong, Seung-Hyun, Biacs, Zoltan F., Do, Ju-Yong
• Application Number:
  US12/985,007
• Publication Number:
  US 20120169535A1
• Time in Patent Office: Days
• US Class Current: 342/357.49
• CPC Class Codes: G01S 19/246 involving long acquisition integration times, extended snapshots of signals or methods specifically directed towards weak signal acquisition
• CPC Class Codes: G01S 19/32 Multimode operation in a single same satellite system, e.g. GPS L1/L2
• CPC Class Codes: G01S 19/421 by combining or switching between position solutions or signals derived from different satellite radio beacon positioning systems; by combining or switching between position solutions or signals derived from different modes of operation in a single system
• CPC Class Codes: G01S 5/011 Identifying the radio environment
• CPC Class Codes: G01S 5/014 Identifying transitions between environments
• CPC Class Codes: G01S 5/015 between indoor and outdoor environments
• CPC Class Codes: H04W 4/02 Services making use of location information

Abstract

Techniques are provided which may be implemented in various methods and apparatuses to allow an electronic device to determine when it transitions between certain environments which may be perceived, for example, from observations associated with wireless signals transmitted by a wireless communication network. In response to an environment transition determination, the techniques further allow for one or more positioning functions to be operatively affected in some manner.

Claims

1. A method comprising:

with an electronic device;

determining that said electronic device is transitioning or has transitioned from a first environment to a second environment based, at least in part, on one or more measured signal parameters associated with one or more received wireless signals associated with one or more wireless communication networks;

associating at least one of said one or more measured signal parameters with at least one operative parameter that affects operation of an SPS navigation function; and

in response to a determination that said electronic device is transitioning or has transitioned from said first environment to said second environment, affecting operation of said SPS navigation function, at least in part, by changing said at least one operative parameter.

2. The method as recited in claim 1, wherein affecting operation of said SPS navigation function further comprises:

affecting said operation of said SPS navigation function based, at least in part, on at least one of said one or more measured signal parameters and corresponding historical signal parameter information associated with at least one of said one or more received wireless signals.

3. The method as recited in claim 2, wherein affecting operation of said SPS navigation function further comprises:

obtaining at least a portion of said historical signal parameter information from one or more other electronic devices.

4. The method as recited in claim 1, wherein affecting operation of said SPS navigation function further comprises:

affecting said operation of said SPS navigation function to obtain assistance from one or more other electronic devices based, at least in part, on at least one of said one or more measured signal parameters.

5. The method as recited in claim 1, wherein affecting operation of said SPS navigation function further comprises:

affecting at least one of an a priori noise measurement and/or an error measurement associated with said operation of said SPS navigation function based, at least in part, on at least one of said one or more measured signal parameters.

6. The method as recited in claim 1, wherein affecting operation of said SPS navigation function further comprises:

affecting at least one signal environment model capability associated with said operation of said SPS navigation function based, at least in part, on at least one of said one or more measured signal parameters.

7. The method as recited in claim 1, wherein determining that said electronic device is transitioning or has transitioned from said first environment to said second environment further comprises:

estimating at least one of a position and/or a velocity of said electronic device based, at least in part, on Doppler related information determined using at least one of said one or more measured signal parameters.

8. The method as recited in claim 1, wherein affecting operation of said SPS navigation function further comprises:

affecting an SPS error measurement capability based, at least in part, on signal-to-noise ratio related information determined using at least one of said one or more measured signal parameters.

9. The method as recited in claim 1, wherein affecting operation of said SPS navigation function further comprises:

affecting an SPS error measurement capability based, at least in part, on signal propagation related information determined using at least one of said one or more measured signal parameters.

10. The method as recited in claim 1, wherein affecting operation of said SPS navigation function further comprises:

affecting selection and/or operation of an SPS filtering capability based, at least in part, on at least one of estimated position and/or velocity information determined using at least one of said one or more measured signal parameters.

11. The method as recited in claim 10, wherein affecting said SPS filtering capability comprises:

modifying at least one weighting parameter associated with said SPS filtering capability based, at least in part, on at least one of said one or more measured signal parameters.

12. The method as recited in claim 10, wherein said SPS filtering capability comprises at least one of:

a Kalman filter, an extended Kalman filter, unscented Kalman filter, a Particle filter, and/or a Bayes filter.

13. The method as recited in claim 1, wherein affecting operation of said SPS navigation function further comprises:

affecting an SPS integration time based, at least in part, on at least one of estimated position and/or velocity information determined using at least one of said one or more measured signal parameters.

14. The method as recited in claim 1, wherein affecting operation of said SPS navigation function further comprises:

affecting an SPS integration time based, at least in part, on information associated with said second environment.

15. The method as recited in claim 1, wherein affecting operation of said SPS navigation function further comprises:

affecting selection and/or operation of one or more non-radio sensors based, at least in part, on at least one of estimated position and/or velocity information determined using at least one of said one or more measured signal parameters.

16. The method as recited in claim 1, wherein affecting operation of said SPS navigation function further comprises:

affecting selection and/or operation of one or more non-radio sensors based, at least in part, on information associated with said second environment.

17. An apparatus for use in an electronic device, the apparatus comprising:

one or more radio receivers to receive one or more wireless signals associated with one or more wireless communication networks;

at least one processing unit to;

determine that said electronic device is transitioning or has transitioned from a first environment to a second environment based, at least in part, on one or more measured signal parameters associated with said one or more wireless signals,

associate at least one of said one or more measured signal parameters with at least one operative parameter that affects operation of an SPS navigation function being performed using said electronic device, and,

in response to a determination that said electronic device is transitioning or has transitioned from said first environment to said second environment,

affect operation of said SPS navigation function, at least in part, by changing said at least one operative parameter.

18. The apparatus as recited in claim 17, said one or more processing units to affect operation of said SPS navigation function based, at least in part, on at least one of said one or more measured signal parameters and corresponding historical signal parameter information associated with at least one of said one or more received wireless signals.

19. The apparatus as recited in claim 18, said one or more radio receivers to receive at least a portion of said historical signal parameter information from one or more other electronic devices.

20. The apparatus as recited in claim 17, said one or more processing units to affect operation of said SPS navigation function to initiate obtaining assistance from one or more other electronic devices based, at least in part, on at least one of said one or more measured signal parameters.

21. The apparatus as recited in claim 17, said one or more processing units to affect at least one of an a priori noise measurement and/or an error measurement associated with said operation of said SPS navigation function based, at least in part, on at least one of said one or more measured signal parameters.

22. The apparatus as recited in claim 17, said one or more processing units to affect at least one signal environment model capability associated with said operation of said SPS navigation function based, at least in part, on at least one of said one or more measured signal parameters.

23. The apparatus as recited in claim 17, said one or more processing units to estimate at least one of a position and/or a velocity of said electronic device based, at least in part, on Doppler related information determined using at least one of said one or more measured signal parameters.

24. The apparatus as recited in claim 17, said one or more processing units to selectively affect an SPS error measurement capability based, at least in part, on signal-to-noise ratio related information determined using at least one of said one or more measured signal parameters.

25. The apparatus as recited in claim 17, said one or more processing units to affect an SPS error measurement capability based, at least in part, on signal propagation related information determined using at least one of said one or more measured signal parameters.

26. The apparatus as recited in claim 17, said one or more processing units to affect selection and/or operation of an SPS filtering capability based, at least in part, on estimated position and/or velocity information determined using at least one of said one or more measured signal parameters.

27. The apparatus as recited in claim 17, said one or more processing units to modify at least one weighting parameter associated with said SPS filtering capability based, at least in part, on said at least one of one or more measured signal parameters.

28. The apparatus as recited in claim 17, wherein said SPS filtering capability comprises at least one of:

a Kalman filter, an extended Kalman filter, unscented Kalman filter, a Particle filter, and/or a Bayes filter.

29. The apparatus as recited in claim 17, said one or more processing units to affect an SPS integration time based, at least in part, on at least one of estimated position and/or velocity information determined using at least one of said one or more measured signal parameters.

30. The apparatus as recited in claim 17, said one or more processing units to affect an SPS integration time based, at least in part, on information associated with said second environment.

31. The apparatus as recited in claim 17, said one or more processing units to affect selection and/or operation of one or more non-radio sensors based, at least in part, on at least one of estimated position and/or velocity information determined using at least one of said one or more measured signal parameters.

32. The apparatus as recited in claim 17, said one or more processing units to affect selection and/or operation of one or more non-radio sensors based, at least in part, on information associated with said second environment.

33. An article comprising:

a computer readable storage medium having stored thereon computer implementable instructions executable by one or more processing units to;

determine that an electronic device is transitioning or has transitioned from a first environment to a second environment based, at least in part, on one or more measured signal parameters associated with one or more received wireless signals associated with one or more wireless communication networks;

associate said one or more measured signal parameters with at least one operative parameter that affects operation of an SPS navigation function being performed using said electronic device; and

in response to a determination that said electronic device is transitioning or has transitioned from said first environment to said second environment, affect operation of said SPS navigation function, at least in part, by changing said at least one operative parameter.

34. The article as recited in claim 33, said computer implementable instructions are further executable by said one or more processing units to affect said operation of said SPS navigation function based, at least in part, on at least one of said one or more measured signal parameters and corresponding historical signal parameter information associated with at least one of said one or more received wireless signals.

35. The article as recited in claim 33, said computer implementable instructions are further executable by said one or more processing units to affect said operation of said SPS navigation function to obtain assistance from one or more other electronic devices based, at least in part, on at least one of said one or more measured signal parameters.

36. The article as recited in claim 33, said computer implementable instructions are further executable by said one or more processing units to affect at least one of an a priori noise measurement and/or an error measurement associated with said operation of said SPS navigation function based, at least in part, on at least one of said one or more measured signal parameters.

37. The article as recited in claim 33, said computer implementable instructions are further executable by said one or more processing units to affect at least one signal environment model capability associated with said operation of said SPS navigation function based, at least in part, on at least one of said one or more measured signal parameters.

38. The article as recited in claim 33, said computer implementable instructions are further executable by said one or more processing units to determine that said electronic device has transitioned from said first environment to said second environment by at least one of an estimated position and/or velocity of said electronic device as determined based, at least in part, on Doppler related information determined using at least one of said one or more measured signal parameters.

39. The article as recited in claim 33, said computer implementable instructions are further executable by said one or more processing units to affect an SPS error measurement capability based, at least in part, on signal-to-noise ratio related information determined using at least one of said one or more measured signal parameters.

40. The article as recited in claim 33, said computer implementable instructions are further executable by said one or more processing units to affect an SPS error measurement capability based, at least in part, on signal propagation related information determined using at least one of said one or more measured signal parameters.

41. The article as recited in claim 33, said computer implementable instructions are further executable by said one or more processing units to affect selection and/or operation of an SPS filtering capability based, at least in part, on at least one of estimated position and/or velocity information determined using at least one of said one or more measured signal parameters.

42. The article as recited in claim 41, said computer implementable instructions are further executable by said one or more processing units to modify at least one weighting parameter associated with said SPS filtering capability based, at least in part, on said one or more measured signal parameters.

43. The article as recited in claim 41, wherein said SPS filtering capability comprises at least one of:

a Kalman filter, an extended Kalman filter, unscented Kalman filter, a Particle filter, and/or a Bayes filter.

44. The article as recited in claim 33, said computer implementable instructions are further executable by said one or more processing units to affect an SPS integration time based, at least in part, on at least one of estimated position and/or velocity information determined using at least one of said one or more measured signal parameters.

45. The article as recited in claim 33, said computer implementable instructions are further executable by said one or more processing units to affect an SPS integration time based, at least in part, on information associated with said second environment.

46. The article as recited in claim 33, said computer implementable instructions are further executable by said one or more processing units to affect selection and/or operation of one or more non-radio sensors based, at least in part, on at least one of estimated position and/or velocity information determined using at least one of said one or more measured signal parameters.

47. The article as recited in claim 33, said computer implementable instructions are further executable by said one or more processing units to affect selection and/or operation of one or more non-radio sensors based, at least in part, on information associated with said second environment.

48. An apparatus for use in an electronic device, the apparatus comprising:

means for determining that the electronic device is transitioning or has transitioned from a first environment to a second environment based, at least in part, on one or more measured signal parameters associated with one or more wireless signals received from one or more wireless communication networks;

means for associating at least one of said one or more measured signal parameters with at least one operative parameter that affects operation of an SPS navigation function; and

means for affecting operation of said SPS navigation function, at least in part, by changing said at least one operative parameter in response to a determination that said electronic device is transitioning or has transitioned from said first environment to said second environment.

49. The apparatus as recited in claim 48, further comprising:

means for affecting operation of said SPS navigation function based, at least in part, on at least one of said one or more measured signal parameters and corresponding historical signal parameter information associated with at least one of said one or more wireless signals.

50. The apparatus as recited in claim 48, further comprising:

means for receiving at least a portion of said historical signal parameter information from one or more other electronic devices.

51. The apparatus as recited in claim 48, said means for affecting operation of said SPS navigation function comprises means for obtaining assistance from one or more other electronic devices based, at least in part, on at least one of said one or more measured signal parameters.

52. The apparatus as recited in claim 48, further comprising:

means for affecting at least one of an a priori noise measurement and/or an error measurement associated with said operation of said SPS navigation function based, at least in part, on at least one of said one or more measured signal parameters.

53. The apparatus as recited in claim 48, further comprising:

means for affecting at least one signal environment model capability associated with said operation of said SPS navigation function based, at least in part, on at least one of said one or more measured signal parameters.

54. The apparatus as recited in claim 48, further comprising:

means for estimating at least one of a position and/or a velocity of said electronic device based, at least in part, on Doppler related information determined using at least one of said one or more measured signal parameters.

55. The apparatus as recited in claim 48, further comprising:

means for affecting an SPS error measurement capability based, at least in part, on signal-to-noise ratio related information determined using at least one of said one or more measured signal parameters associated.

56. The apparatus as recited in claim 48, further comprising:

means for affecting an SPS error measurement capability based, at least in part, on signal propagation related information determined using at least one of said one or more measured signal parameters.

57. The apparatus as recited in claim 48, further comprising:

means for affecting selection and/or operation of an SPS filtering capability based, at least in part, on at least one of estimated position and/or velocity information determined using at least one of said one or more measured signal parameters.

58. The apparatus as recited in claim 57, further comprising:

means for modifying at least one weighting parameter associated with said SPS filtering capability based, at least in part, on at least one of said one or more measured signal parameters.

59. The apparatus as recited in claim 48, further comprising:

means for affecting an SPS integration time based, at least in part, on at least one of estimated position and/or velocity information determined using at least one of said one or more measured signal parameters.

60. The apparatus as recited in claim 48, further comprising:

means for affecting an SPS integration time based, at least in part, on information associated with said second environment.

61. The apparatus as recited in claim 48, further comprising:

means for affecting selection and/or operation of one or more non-radio sensor means based, at least in part, on at least one of estimated position and/or velocity information determined using at least one of said one or more measured signal parameters associated.

62. The apparatus as recited in claim 48, further comprising:

means for affecting selection and/or operation of one or more non-radio sensor means based, at least in part, on information associated with said second environment.