UTILIZING A MOBILE DEVICE TO LEARN PARAMETERS OF A RADIO HEAT MAP

• US 20150119068A1
• Filed: 10/30/2013
• Published: 04/30/2015
• Est. Priority Date: 10/30/2013
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Palanki, Ravi, Richardson, Thomas Joseph, Kudekar, Shrinivas S., Measson, Cyril
• Granted Patent: US 9,664,773 B2
• Time in Patent Office: Days
• US Class Current: 455/456.1
• CPC Class Codes: G01S 5/0236 Assistance data, e.g. base station almanac
• CPC Class Codes: G01S 5/02525 Gathering the radio frequency fingerprints
• CPC Class Codes: G01S 5/0278 involving statistical or probabilistic considerations G01S5/0252, G01S5/0294 take precedence
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/33 for indoor environments, e.g. buildings
• CPC Class Codes: H04W 64/00 Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Abstract

Example methods, apparatuses, or articles of manufacture are disclosed herein that may be utilized, in whole or in part, to facilitate or support one or more operations or techniques for utilizing a mobile communication device to learn parameters of a radio heat map for use in or with a mobile communication device.

Claims

1. A method of learning parameters of a radio heat map comprising:

receiving, at a mobile device, one or more messages from a server via an electronic communications network, said one or more messages comprising at least locations of one or more wireless transmitters transmitting signals in an area and an electronic digital map of said area;

estimating parameters of a signal strength propagation model of at least one of said signals transmitted from at least one of said one or more wireless transmitters based, at least in part, on said locations of said one or more wireless transmitters and said electronic digital map of said area; and

communicating said estimated parameters to said server via said electronic communications network.

2. The method of claim 1, wherein said estimating said parameters further comprises:

estimating said parameters based, at least in part, on a number of walls separating said at least one of said one or more wireless transmitters from an estimated location of said mobile device based, at least in part, on said electronic digital map of said area.

3. The method of claim 1, wherein said estimating said parameters further comprises:

estimating a location of said mobile device based, at least in part, on said signal strength propagation model and said estimated parameters, wherein said estimating said location is contemporaneous with measurements of a received signal strength of said signals in said area; and

computing said parameters based, at least in part, on said estimated location of said mobile device.

4. The method of claim 1, wherein said communicating said estimated parameters comprises:

assessing a confidence level in said parameters based, at least in part, on a computed variance or covariance associated with at least one of said parameters; and

selectively transmitting said parameters to said server in response to said confidence level meeting a threshold.

5. The method of claim 1, wherein said parameters comprise at least one of the following:

an estimated transmission power of said at least one of said one or more wireless transmitters;

an estimated propagation loss exponent;

an estimated power absorbed by a number of walls separating said at least one of said one or more wireless transmitters from an estimated location of said mobile device;

or any combination thereof.

6. The method of claim 1, wherein said parameters are estimated according to an expression:

Y_t=θ

₃−

θ

₁10 log₁₀d(s_t,AP)−

θ

₂n_walls+w,

where;

Y_t is received signal power from said one or more wireless transmitters received at said mobile device;

d(s_t,AP) is a range from said mobile device to said one or more wireless transmitters;

w is white noise;

θ

₁ is a propagation loss exponent;

θ

₂ is an amount of power absorbed by walls; and

θ

₃ is a signal transmission power at said one or more wireless transmitters.

7. The method of claim 1, wherein said parameters are estimated concurrently with determining a location of said mobile device in said area.

8. The method of claim 1, and further comprising storing said estimated parameters as a part of said radio heat map.

9. The method of claim 1, wherein said signal strength propagation model is based, at least in part, on said locations of said one or more wireless transmitters.

10. The method of claim 1, wherein said signal strength propagation model is associated with a single wireless transmitter of said one or more wireless transmitters.

11. The method of claim 1, wherein said signal strength propagation model is associated with a plurality of said one or more wireless transmitters.

12. The method of claim 1, wherein said area is characterized by a plurality of signal strength propagation models.

13. An apparatus to learn parameters of a radio heat map comprising:

a mobile device comprising;

a wireless transceiver to communicate with an electronic communications network; and

one or more processors to;

communicate with said electronic communications network to receive one or more messages from a server via said electronic communications network, said one or more messages comprising at least locations of one or more wireless transmitters transmitting signals in an area and an electronic digital map of said area;

estimate parameters of a signal strength propagation model of at least one of said signals transmitted from at least one of said one or more wireless transmitters based, at least in part, on said locations of said one or more wireless transmitters and said electronic digital map of said area; and

communicate said estimated parameters to said server via said electronic communications network.

14. The apparatus of claim 13, wherein said one or more processors to estimate parameters of said signal strength propagation model further to:

estimate said parameters based, at least in part, on a number of walls separating said at least one of said one or more wireless transmitters from an estimated location of said mobile device based, at least in part, on said electronic digital map of said area.

15. The apparatus of claim 13, wherein said one or more processors to estimate parameters of said signal strength propagation model further to:

estimate a location of said mobile device based, at least in part, on said signal strength propagation model and said estimated parameters, wherein said estimate is contemporaneous with measurements of a received signal strength of said signals in said area; and

compute said parameters based, at least in part, on said estimate of said location of said mobile device.

16. The apparatus of claim 13, wherein said one or more processors further to:

assess a confidence level in said parameters based, at least in part, on a computed variance or covariance associated with at least one of said parameters; and

said wireless transceiver to further selectively transmit said parameters to said server in response to said confidence level meeting a threshold.

17. The apparatus of claim 13, wherein said parameters are estimated according to an expression:

Y_t=θ

₃−

θ

₁10 log₁₀d(s_t,AP)−

θ

₂n_walls+w,

where;

Y_t is received signal power from said one or more wireless transmitters received at said mobile device;

d(s_t,AP) is a range from said mobile device to said one or more wireless transmitters;

w is white noise;

θ

₁ is a propagation loss exponent;

θ

₂ is an amount of power absorbed by walls; and

θ

₃ is a signal transmission power at said one or more wireless transmitters.

18. An apparatus to learn parameters of a radio heat map comprising:

means for receiving, at a mobile device, one or more messages from a server via an electronic communications network, said one or more messages comprising at least locations of one or more wireless transmitters transmitting signals in an area and an electronic digital map of said area;

means for estimating parameters of a signal strength propagation model of at least one of said signals transmitted from at least one of said one or more wireless transmitters based, at least in part, on said locations of said one or more wireless transmitters and said electronic digital map of said area; and

means for communicating said estimated parameters to said server via said electronic communications network.

19. The apparatus of claim 18, wherein said means for estimating said parameters further comprises:

means for estimating said parameters based, at least in part, on a number of walls separating said at least one of said one or more wireless transmitters from an estimated location of said mobile device based, at least in part, on said electronic digital map of said area.

20. The apparatus of claim 18, wherein said means for estimating said parameters further comprises:

means for estimating a location of said mobile device based, at least in part, on said signal strength propagation model and said estimated parameters, wherein said means for estimating said location comprises means for estimating said location contemporaneous with measurements of a received signal strength of said signals in said area; and

means for computing said parameters based, at least in part, on an estimated location of said mobile device.

21. The apparatus of claim 18, wherein said means for communicating said estimated parameters comprises:

means for assessing a confidence level in said parameters based, at least in part, on a computed variance or covariance associated with at least one of said parameters; and

means for selectively transmitting said parameters to said server in response to said confidence level meeting a threshold.

22. The apparatus of claim 18, wherein said parameters comprise at least one of the following:

an estimated transmission power of said at least one of said one or more wireless transmitters;

an estimated propagation loss exponent;

an estimated power absorbed by a number of walls separating said at least one of said one or more wireless transmitters from an estimated location of said mobile device;

or any combination thereof.

23. The apparatus of claim 18, wherein said parameters are estimated according to an expression:

Y_t=θ

₃−

θ

₁10 log₁₀d(s_t,AP)−

θ

₂n_walls+w,

where;

Y_t is received signal power from said one or more wireless transmitters received at said mobile device;

d(s_t,AP) is a range from said mobile device to said one or more wireless transmitters;

w is white noise;

θ

₁ is a propagation loss exponent;

θ

₂ is an amount of power absorbed by walls; and

θ

₃ is a signal transmission power at said one or more wireless transmitters.

24. The apparatus of claim 18, wherein said signal strength propagation model is based, at least in part, on said locations of said one or more wireless transmitters.

25. The apparatus of claim 18, wherein said area is characterized by a plurality of signal strength propagation models.

26. An article comprising:

a non-transitory storage medium having instructions executable by a processor to;

receive, at a mobile device, one or more messages from a server via an electronic communications network, said one or more messages comprising at least locations of one or more wireless transmitters transmitting signals in an area and an electronic digital map of said area;

estimate parameters of a signal strength propagation model of at least one of said signals transmitted from at least one of said one or more wireless transmitters based, at least in part, on said locations of said one or more wireless transmitters and said electronic digital map of said area; and

communicate said estimated parameters to said server via said electronic communications network.

27. The article of claim 26, wherein said storage medium further comprises instructions to:

estimate said parameters based, at least in part, on a number of walls separating said at least one of said one or more wireless transmitters from an estimated location of said mobile device based, at least in part, on said electronic digital map of said area.

28. The article of claim 26, wherein said storage medium further comprises instructions to:

estimate a location of said mobile device based, at least in part, on said signal strength propagation model and said estimated parameters, wherein said estimate is contemporaneous with measurements of a received signal strength of said signals in said area; and

compute said parameters based, at least in part, on said estimate of said location of said mobile device.

29. The article of claim 26, wherein said storage medium further comprises instructions to:

assess a confidence level in said parameters based, at least in part, on a computed variance or covariance associated with at least one of said parameters; and

selectively transmit said parameters to said server in response to said confidence level meeting a threshold.

30. The article of claim 26, wherein said storage medium further comprises instructions to estimate said parameters according to an expression:

Y_t=θ

₃−

θ

₁10 log₁₀d(s_t,AP)−

θ

₂n_walls+w,

where;

Y_t is received signal power from said one or more wireless transmitters received at said mobile device;

d(s_t,AP) is a range from said mobile device to said one or more wireless transmitters;

w is white noise;

θ

₁ is a propagation loss exponent;

θ

₂ is an amount of power absorbed by walls; and

θ

₃ is a signal transmission power at said one or more wireless transmitters.