System and method for predicting location accuracy of a mobile unit
View Patent ↗The location of a wireless mobile device may be estimated using, at least in part, one or more pre-existing Network Measurement Reports (“NMRs”) which include calibration data for a number of locations within a geographic region. The calibration data for these locations is gathered and analyzed so that particular calibration points within the geographic region can be determined and associated with a particular set or sets of calibration data from, for example, one or more NMRs. Sets of calibration points may be evaluated as a function of parameters of the calibration data, and a set of calibration points may be selected as a function of a predetermined criteria. Signal reception in the region may be estimated as a function of mobile device location in the region and an approximate statistical accuracy of a signal strength pattern determined as a function of the estimated signal reception. An expected accuracy of a location system may then be modeled in the region as a function of system configuration information and determined approximate statistical accuracy.
1. A method of predicting an expected accuracy of a location system in a geographic region comprising the steps of:
(a) providing configuration information for the geographic region;
(b) estimating signal reception in the region as a function of mobile device location in the region;
(c) determining an approximate statistical accuracy of a signal strength pattern as a function of the estimated signal reception in the region; and
(d) modeling an expected accuracy of the location system in the region as a function of the configuration information, determined approximate statistical accuracy, and at least one network measurement report (“NMR”) parameter,
wherein for each of select ones of said NMRs the NMRs include plural data vectors and the step of modeling an expected accuracy of the geolocation system further comprises modeling an expected accuracy as a function of a rate at which a correlation between adjacent NMR data vectors decay over distance, and
wherein the correlation is a scalar function and a gradient of the scalar function is an indicator of error in the expected accuracy.
2. The method of claim 1 wherein said configuration information is selected from the group consisting of: cell site locations, number of sectors, sector azimuths, sector antenna beam-widths, antenna heights, antenna down-tilts, downlink control channel transmit powers, a state of a network serving said mobile device, a list of cells neighboring a cell serving said mobile device, a quantity that is a function of a power level of one or more cells neighboring a cell serving said mobile device, an identity of a cell serving said mobile device, an identity of a sector serving said mobile device, terrain map information for RF signal path loss modeling, and combinations thereof.
3. The method of claim 1 wherein determining an approximate statistical accuracy further comprises determining an approximate statistical accuracy through prior location system accuracy testing.
4. The method of claim 1 wherein the geographic region is a deployment region.
5. A method of assigning geographical coordinates to a calibration point located in a geographic region for the location of a mobile device comprising the steps of:
(a) providing configuration information for a geographic region;
(b) estimating one or more expected characterizing parameters of a network measurement report (“NMR”) associated with a hypothetical mobile device at each of one or more calibration points in the geographic region;
(c) for each of said calibration points:
(i) evaluating the expected characterizing parameters;
(ii) determining if at least one grid point should be defined based on said evaluation; and
(iii) assigning geographical coordinates to said at least one calibration point; and
(d) determining an expected accuracy of a geolocation system in the geographic region as a function of the configuration information and an approximate statistical accuracy,
wherein for each of select ones of said NMRs the NMRs include plural data vectors and the step of determining an expected accuracy of the geolocation system further comprises determining an expected accuracy as a function of a rate at which a correlation between adjacent NMR data vectors decay over distance, and
wherein the correlation is a scalar function and a gradient of the scalar function is an indicator of error in the expected accuracy.
6. The method of claim 5 wherein one of said calibration points is located on a predetermined fixed uniform grid defined over said geographic region.
7. The method of claim 5 wherein one of said calibration points is randomly located within said geographic region.
8. The method of claim 5 wherein said configuration information is selected from the group consisting of: cell site locations, number of sectors, sector azimuths, sector antenna beam-widths, antenna heights, antenna down-tilts, downlink control channel transmit powers, a state of a network serving said mobile device, a list of cells neighboring a cell serving said mobile device, a quantity that is a function of a power level of one or more cells neighboring a cell serving said mobile device, an identity of a cell serving said mobile device, an identity of a sector serving said mobile device, terrain map information for RF signal path loss modeling, and combinations thereof.
9. The method of claim 5 wherein said characterizing parameters are selected from the group consisting of: signal strength, signal quality, round trip time, timing advance, time difference of arrival, the identification of a serving cell or serving sector of a mobile device in the geographic region, a state of a wireless network serving the mobile device, and combinations thereof.
10. A method for generating a model for deployment of a geolocation system in a geographic region comprising the steps of:
(a) providing configuration information for the geographic region;
(b) estimating signal parameters in the region as a function of mobile device location in the region;
(c) determining an approximate statistical accuracy of a signal pattern as a function of the estimated signal parameters in the region; and
(d) modeling an expected accuracy of the geolocation system in the region as a function of the configuration information, determined approximate statistical accuracy, and at least one network measurement report (“NMR”) parameter,
wherein for each of select ones of said NMRs the NMRs include plural data vectors and the step of modeling an expected accuracy of the geolocation system further comprises modeling an expected accuracy as a function of a rate at which a correlation between adjacent NMR data vectors decay over distance, and
wherein the correlation is a scalar function and a gradient of the scalar function is an indicator of error in the expected accuracy.
11. The method of claim 10 wherein said configuration information is selected from the group consisting of: cell site locations, number of sectors, sector azimuths, sector antenna beam-widths, antenna heights, antenna down-tilts, downlink control channel transmit powers, a state of a network serving said mobile device, a list of cells neighboring a cell serving said mobile device, a quantity that is a function of a power level of one or more cells neighboring a cell serving said mobile device, an identity of a cell or a sector serving said mobile device, terrain map information for RF signal path loss modeling, and combinations thereof.
12. The method of claim 10 wherein determining an approximate statistical accuracy further comprises determining an approximate statistical accuracy through prior geolocation system accuracy testing.
13. The method of claim 10 wherein said NMR parameters are selected from the group consisting of: signal strength, signal quality, round trip time, timing advance, time difference of arrival, the identification of a serving cell or serving sector of a mobile device in the geographic region, a state of a wireless network serving the mobile device, and combinations thereof.
14. A method of determining an expected location accuracy of a geolocation system in a geographic region comprising the steps of:
(a) providing configuration information for a geographic region;
(b) estimating one or more expected characterizing parameters of a network measurement report (“NMR”) associated with a hypothetical mobile device at each of one or more grid points in the geographic region; and
(c) determining an expected accuracy of the geolocation system in the geographic region as a function of at least one estimated parameter,
wherein for each of select ones of said NMRs the NMRs include plural data vectors and the step of determining an expected accuracy of the geolocation system further comprises determining an expected accuracy as a function of a rate at which a correlation between adjacent NMR data vectors decay over distance, and
wherein the correlation is a scalar function and a gradient of the scalar function is an indicator of error in the expected accuracy.
15. The method of claim 14 wherein one of said grid points is located on a predetermined fixed uniform grid defined over said geographic region.
16. The method of claim 14 wherein one of said grid points is randomly located within said geographic region.
17. The method of claim 14 wherein said configuration information is selected from the group consisting of: cell site locations, number of sectors, sector azimuths, sector antenna beam-widths, antenna heights, antenna down-tilts, downlink control channel transmit powers, a state of a network serving said mobile device, a list of cells neighboring a cell serving said mobile device, a quantity that is a function of a power level of one or more cells neighboring a cell serving said mobile device, an identity of a cell serving said mobile device, an identity of a sector serving said mobile device, terrain map information for RF signal path loss modeling, and combinations thereof.
18. The method of claim 14 wherein said parameters are selected from the group consisting of: signal strength, signal quality, round trip time, timing advance, time difference of arrival, the identification of a serving cell or serving sector of a mobile device in the geographic region, a state of a wireless network serving the mobile device, and combinations thereof.