# US 2008/0188244 A1 · System and method for predicting location accuracy of a mobile unit > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2008/0188244 A1 - Document ID: US20080188244A1 - Status: Published application - Kind: A1 - Application number: 12/019,575 - Filed: 2008-01-24 - Published: 2008-08-07 - Earliest claimed: 2007-02-05 - Assignees: CommScope, Inc. of North Carolina - Inventors: Selcuk Mazlum; John Carlson; Martin Alles; George Maher - Web page: https://patentgrep.com/patent/US20080188244A1 ## CPC - G01S 5/021: {Calibration, monitoring or correction (G01S5/0252 takes precedence)} - G01S 5/0244: {Accuracy or reliability of position solution or of measurements contributing thereto} - G01S 5/02526: {using non-dedicated equipment, e.g. user equipment or crowd-sourcing} - H04W 4/02: Services making use of location information - H04W 4/029: Location-based management or tracking services - G01S: RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract 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. ## Claims ### Claim 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 and determined approximate statistical accuracy. ### Claim 2 (depends on 1) 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. ### Claim 3 (depends on 1) The method of claim 1 wherein determining an approximate statistical accuracy further comprises determining an approximate statistical accuracy through prior location system accuracy testing. ### Claim 4 (depends on 1) The method of claim 1 wherein the geographic region is a deployment region. ### Claim 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. ### Claim 6 (depends on 5) The method of claim 5 further comprising the step of: (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. ### Claim 7 (depends on 5) The method of claim 5 wherein one of said calibration points is located on a predetermined fixed uniform grid defined over said geographic region. ### Claim 8 (depends on 5) The method of claim 5 wherein one of said calibration points is randomly located within said geographic region. ### Claim 9 (depends on 6) The method of claim 6 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. ### Claim 10 (depends on 9) The method of claim 9 wherein the correlation is a scalar function. ### Claim 11 (depends on 10) The method of claim 10 wherein a gradient of the scalar function is an indicator of error in the expected accuracy. ### Claim 12 (depends on 5) 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. ### Claim 13 (depends on 5) 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. ### Claim 14 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 and determined approximate statistical accuracy. ### Claim 15 (depends on 14) 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 or a sector serving said mobile device, terrain map information for RF signal path loss modeling, and combinations thereof. ### Claim 16 (depends on 14) The method of claim 14 wherein determining an approximate statistical accuracy further comprises determining an approximate statistical accuracy through prior geolocation system accuracy testing. ### Claim 17 (depends on 14) The method of claim 14 wherein the step of modeling an expected accuracy of the geolocation system further comprises modeling an expected accuracy as a function of at least one network measurement report (“NMR”) parameter. ### Claim 18 (depends on 17) The method of claim 17 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. ### Claim 19 (depends on 18) The method of claim 18 wherein the correlation is a scalar function. ### Claim 20 (depends on 19) The method of claim 19 wherein a gradient of the scalar function is an indicator of error in the expected accuracy. ### Claim 21 (depends on 17) The method of claim 17 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. ### Claim 22 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. ### Claim 23 (depends on 22) The method of claim 22 wherein one of said grid points is located on a predetermined fixed uniform grid defined over said geographic region. ### Claim 24 (depends on 22) The method of claim 22 wherein one of said grid points is randomly located within said geographic region. ### Claim 25 (depends on 22) The method of claim 22 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. ### Claim 26 (depends on 25) The method of claim 25 wherein the correlation is a scalar function. ### Claim 27 (depends on 26) The method of claim 26 wherein a gradient of the scalar function is an indicator of error in the expected accuracy. ### Claim 28 (depends on 22) The method of claim 22 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. ### Claim 29 (depends on 22) The method of claim 22 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.