WO2017188894A1 - Système de géolocalisation pour un dispositif mobile - Google Patents

Système de géolocalisation pour un dispositif mobile Download PDF

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Publication number
WO2017188894A1
WO2017188894A1 PCT/SG2017/050218 SG2017050218W WO2017188894A1 WO 2017188894 A1 WO2017188894 A1 WO 2017188894A1 SG 2017050218 W SG2017050218 W SG 2017050218W WO 2017188894 A1 WO2017188894 A1 WO 2017188894A1
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WIPO (PCT)
Prior art keywords
radio
mobile device
parameters
radio parameters
unique
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Ceased
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PCT/SG2017/050218
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English (en)
Inventor
Poh Beng Tan
Joon Keng Yong
Keen Hon Wong
Caitan Fernandes ROBERT
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Certis Cisco Security Pte Ltd
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Certis Cisco Security Pte Ltd
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Priority to MYPI2018702029A priority Critical patent/MY195196A/en
Priority to CN201780005432.3A priority patent/CN108474833A/zh
Priority to HK19100165.8A priority patent/HK1257777A1/zh
Priority to AU2017255214A priority patent/AU2017255214C9/en
Priority to SG11201804586PA priority patent/SG11201804586PA/en
Publication of WO2017188894A1 publication Critical patent/WO2017188894A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • 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
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G01S5/0252—Radio frequency fingerprinting
    • G01S5/02521—Radio frequency fingerprinting using a radio-map

Definitions

  • the present invention relates to a geolocating system for a mobile device.
  • the geolocating system information from cellular towers and cell models to determine the position of the mobile device.
  • the location of a mobile device may be determined using alternative methods otherthan the usual satellite-based signals like G lobal Positioning System (G PS ), and these typically use information from cellular towers.
  • G PS G lobal Positioning System
  • mobile devices no longer keeps track of complete G lobally unique Identification (G UID) of the neighboring cells, only non-unique local radio parameter for other neighboring Cell Tower.
  • G UID G lobally unique Identification
  • the traditional method to geo-locate a mobile device using GUID of registered cell and neighboring cells is no longer viable. The traditional method is unable to distinguish the ambiguity of which neighboring cells the mobile device is able to detect.
  • the disambiguation technique uses disambiguation information that is associated with the cellular tower that the mobile device is currently based on by using a radio scene received at the mobile device and mapping it to an estimate of the device s location.
  • the radio scene is typically a list of all the radio transmitters or cellular towers that the mobile may detect.
  • the mapping may then be carried out using techniques like trilateration or based on a predictive model learnt undersupervision, in orderto unambiguously identify as many of the neighboring visible transmitters as possible.
  • the disambiguation technique requires a large amount of processing compared to traditional methods and is also prone to disambiguation errors.
  • a first advantage in accordance with this invention is that a mobile device is able to determine its geolocation without using G PS and by using existing cellular tower information. This provides a mobile device with a fast and accurate geolocation service without requiring extra infrastructure or modifications to the cellular network and allows for geolocation indoors or places that do not have satellite coverage.
  • a second advantage in accordance with this invention is the faster determination of the geolocation of a mobile device. This is because every tagged record acts as a unique cell model, thus requiring less processing and making the search and estimation shorted.
  • a third advantage in accordance with this invention is the lack of ambiguity. This is improves the accuracy by using the unique cell models generated with the local non-unique parameters having the same global unique parameters.
  • a method for determining a geolocation of a mobile device comprising capturing a plurality of first radio parameters of a first cellular tower, then capturing a plurality of second radio parameters of a second cellular tower, wherein the plurality of second radio parameters are locally unique radio parameters.
  • the method includes tagging the plurality of second radio parameters to the plurality of first radio parameters.
  • the method further includes generating a plurality of base cell models using the plurality of first and second radio parameters, then extracting a plurality of resultant cell models based on a position query from the mobile device and the plurality of base cell models, and statistically determining the geolocation of the mobile device using the plurality of resultant cell models.
  • the plurality of first radio parameters are globally unique.
  • the first radio parameter is a globally unique tower ID of a cellular tower. Additionally, this globally unique tower ID of a cellular tower can be a mobile country code (MC C), a mobile network code (MNC), a location area code (LAC), or a C ell ID (CID). Further, the first radio parameter can be a UT RA Absolute Radio Frequency C hannel Number (UAR FC N), a Primary S crambling Code (PS C) or a Received S ignal Strength Indicator (R S S I).
  • the second radio parameter is a combination of any of a UTRA Absolute Radio Frequency C hannel Number (UAR FC N), a P rimary S crambling Code (PS C) or a Received S ignal Strength Indicator (RS S I).
  • UAR FC N UTRA Absolute Radio Frequency C hannel Number
  • PS C P rimary S crambling Code
  • RS S I Received S ignal Strength Indicator
  • the second radio parameter is a location provided by a G lobal P ositioning System (G PS) or a location provided by a user defined coordinate.
  • G PS G lobal P ositioning System
  • another embodiment of the invention has the second radio parameter being a location provided by a plurality of technical parameters of a mobile network, wherein the plurality of technical parameters are converted into coordinates.
  • the step of generating a plurality of base cell models is repeated with a plurality of third radio parameters, wherein the third radio parameters are locally unique and different from the second radio parameters.
  • the plurality of base cell models are combined using contouring, interpolation, triangulation, or fingerprinting.
  • the position query is based on any one or a combination of more than one method of identifying a location, such as a global unique identification (G UID), a local unique parameter, or a R eceived S ignal Strength Indicator (R S S I).
  • G UID global unique identification
  • R S S I R eceived S ignal Strength Indicator
  • the step of extracting a plurality of resultant cell models further includes determining a method of presentation using overlap, triangulation or exclusion. Further, the resultant cell models are extracted from the position query pointing to the location with the greatest overlap, point of intersection or exclusion. Yet further in accordance with an embodiment of the invention, the geolocation of the mobile device is statistically determined based on a normal, a Gaussian, or a point confident technique.
  • the step of generating a plurality of base cell models is based on the plurality of first radio parameters and the plurality of second radio parameters stored in a database memory of a server.
  • a system for determining a geolocation of a mobile device which has a server with means for communicating with a mobile device, a database in communication with the server to store a plurality of first radio parameters of a first cellular tower collected by a collecting device.
  • the database also stores a plurality of second radio parameters of a second cellular tower, and the plurality of second radio parameters are tagged to the plurality of first radio parameters to create a base cell model and the base cell model is stored on the database.
  • the server generates the geolocation based on extraction of the base cell model.
  • the plurality of first radio parameters are globally unique.
  • the first radio parameter is a globally unique tower ID of a cellular tower, a mobile country code (MC C), a mobile network code (MNC), a location area code (LAC), or a Cell ID (CID).
  • the first radio parameter is a UT RA Absolute Radio Frequency C hannel Number (UAR FC N), a Primary S crambling Code (PS C) or a Received S ignal Strength Indicator (R S S I).
  • the second radio parameter is a combination of any of a UTRA Absolute Radio F requency C hannel Number (UAR FC N), a P rimary S crambling Code (PS C) or a Received S ignal Strength Indicator (RS S I).
  • UAR FC N UTRA Absolute Radio F requency C hannel Number
  • PS C P rimary S crambling Code
  • RS S I Received S ignal Strength Indicator
  • the second radio parameter is a location provided by a G lobal P ositioning System (G PS) or a location provided by user defined coordinate.
  • G PS G lobal P ositioning System
  • the second radio parameter is a location provided by a plurality of technical parameters of a mobile network, where the plurality of technical parameters are converted into coordinates.
  • a further base cell model is generated with a plurality of third radio parameters, where the third radio parameters are locally unique and different from the second radio parameters.
  • a resultant cell model is extracted from a plurality of base cell models based on a normal, Gaussian, or point confident technique, and the geolocation of the mobile device is determined from the resultant cell model.
  • the step of extracting the resultant cell model is repeated to generate a plurality of resultant cell models and the geolocation of the mobile device is determined using a normal, Gaussian, or point confident technique.
  • the plurality of base cell models are combined using contouring, interpolation, triangulation, or fingerprinting, and the database is updated.
  • the mobile device is also the collecting device.
  • Figure 1 is a flow chart illustrating a mobile data collection process in accordance with an embodiment of the invention.
  • Figure 2 is a flow chart illustrating a model generation process in accordance with an embodiment of the invention.
  • Figure 3 is a flow chart illustrating a position query and model extraction process in accordance with an embodiment of the invention.
  • Figure 4 is a flow chart illustrating a position estimation and a presentation of results in accordance with an embodiment of the invention.
  • Figure 5 is an illustration of radio parameters captured by a mobile device in accordance with an embodiment of the invention.
  • Figure 6 is an illustration of radio parameters with G PS position data being sent to a server in accordance with an embodiment of the invention.
  • Figure 7 is an illustration of radio parameters with G PS position data being inserted into a database in accordance with an embodiment of the invention.
  • Figure 8 is an illustration of generating a data model for each cell in accordance with an embodiment of the invention.
  • Figure 9 is an illustration of generating another data model for each cell in accordance with an embodiment of the invention.
  • Figure 10 is an illustration of generating a further data model for each cell in accordance with an embodiment of the invention.
  • Figure 1 1 is an illustration of generating another further data model for each cell in accordance with an embodiment of the invention.
  • Figure 12 is an illustration of inserting and/or updating models in a model database in accordance with an embodiment of the invention.
  • Figure 13 is an illustration of a position query and an extraction of models in accordance with an embodiment of the invention.
  • Figure 14 is an illustration of a position estimation based on models in accordance with an embodiment of the invention.
  • Figure 1 5 is an illustration of a results presentation of the results in accordance with an embodiment of the invention.
  • the present invention comprises a method of deriving the geolocation of a mobile device by taking advantage of the ambiguity and tagging the local non-unique parameter to have the same G lobal unique parameter to generate a unique C ell Model, and the extracting the cell models to derive the geolocation of the mobile device.
  • This method may provide better accuracy compared to conventional methods as the error of the positioning technology is confined to one cell.
  • the present invention may capture radio parameters in a different manner from conventional methods, by using the radio parameter ambiguity captured by the mobile device. C onventional methods try to unambiguously identify as many of the neighboring visible transmitters as possible in order to apply disambiguation of non-unique tower parameters for geo-location of the mobile device.
  • the present invention may be described by showing a mobile device being camped on a base station cellular tower.
  • This mobile device may be the same mobile device that generates the position query or a a separate mobile device, a collecting device, specifically for the purpose of collecting the parameters.
  • the mobile device also being able to detect signals from other neighboring towers and the radio scene detected includes radio parameters like the globally unique tower ID of the base station cellular tower (or base station), the UTRA Absolute Radio Frequency Channel Number (UARFCN), the Primary Scrambling Code (PSC) and the Received Signal Strength Indicator (RS SI).
  • the radio scene detected also includes radio parameters of neighboring towers that are non-unique tower parameters, for example 3G Serving Cell Radio Parameters:
  • CTo UARFCNo, PSCo, EC/nOo, RSCPo, SQualo, SRxLevo
  • CTi UARFCNi, PSCi, EC/nOi, RSCPi, SQuah, S RxLevi
  • CT n UARFCNn, PSCn, EC/nOn, RSCPn, SQualn, SRxLevn
  • 525001015C 13E 7111 , 10221 , 143, -10.0, -66, 20, 39 -> 525001015C 13E 7111 is a Global Unique Radio Parameter
  • the method may be made of the following processes: mobile data collection ( Figure 1), model generation ( Figure 2), position query and model extraction (Figure 3), and position estimation and result presentation ( Figure 4).
  • the mobile data collection process 1 10 shown in Figure 1 ) performed by the method and system is described as follows.
  • the process 1 10 may begin with capturing radio parameters 120, followed by capturing the G PS position 130.
  • the next step being to tag the local unique parameters and position with global unique parameters 140, followed by inserting the record with the position into a database 150.
  • radio parameters are: the globally unique tower ID of a cellular tower, UAR FC N, PS C and RS S I, or any other globally unique ID that is known in the art.
  • F igure 5 shows cellular towers 510, 520, 530 with one of them 510 being the base station cellular tower and the mobile device 515 capturing the radio parameters.
  • Examples of globally unique tower ID may be a mobile country code (MC C), mobile network code (MNC), location area code (LAC), Cell ID (CID), or any other fields that may provide the same function of identifying a cellular tower.
  • Radio parameters may also be combined, for example, UAR FC N and PS C may be combined together to form a local unique identifier, although one skilled in the art would appreciate that other combinations are also possible to arrive at a local unique identifier for a cellular tower.
  • the radio parameters are tallied with G PS position data transmitted by satellites 640. This may also collected by a mobile device 615, and the information is sent back to a server 650.
  • G PS position data transmitted by satellites 640. This may also collected by a mobile device 615, and the information is sent back to a server 650.
  • RT LS real-time location system
  • UWB Ultra-Wideband
  • BLE Bluetooth Low E nergy
  • WPS Wi-Fi positioning system
  • some embodiments also allows the user to manually enter the coordinates and define them to preference, which may be in various forms. With sufficient data points to make a model of the cells, the model of the cells can be generated to track mobile devices without the need for further infrastructure or even modifications to the mobile device. For the purposes of location tracking indoors, some embodiments would have a shop name, description, or unit number in place of the coordinates.
  • the mobile device 615 uses an application to obtain the technical parameters of a mobile network, and the application may have the ability to covert the technical parameters into estimated coordinates.
  • the server 650 may be associated with a database (not shown in Figure 6).
  • the radio parameters with (G PS ) position data 720, 730 may be inserted into a database 750, and in the process the loca l unique parameter is tagged to have the same globa l unique parameter 725. In some embodiments, this is done by tagging the local unique radio parameter of the neighboring cell to the global unique radio parameter of the connected cell to generate a unique cell model. C ompared to existing methods, tagging the local unique parameter to have the same global unique pa rameter to generate a unique cell model ma kes the process faster since every tagged record acts a unique cell model. An example of tagging can be associating the local unique parameter with the global unique parameter.
  • the model generation process 210 (shown in F igure 2) performed by the method and system is described as follows.
  • T he process 210 may begin with generating data models for each cell global unique cell-ID and tagged local unique parameter from the database 220, and examples of this are described later and shown in F igures 8-1 1.
  • the databases 750, 850 and 950 may be the same database.
  • Database 750 allows the records (720,730) from the mobile device to be inserted into the database 750, while database 850 demonstrates how the data collected is used to make a model, 820 and 830 depicts examples of records on a map.
  • T he generated model 920 corresponds to the record in database 950.
  • the following step is to insert the cell models or update the cell models in the model database 230, and this is described and shown in F igure 12.
  • a model 820, 830 is generated using the information from the database 850 and the outcome may be found in F igure 8. It may be seen that using the information, the model for CToU PoRS o 820 and C T 0U P 0R S 11 830 may be generated. By repeating this process for differing values from the database 950, a model for CT 0U P 0 920 may be generated as shown in F igure 9. In F igure 10, another model 1022 may be generated using further values of local unique identifiers from the database 1050 and is shown has an overlay on the CT 0U P 0 model 1020 of F igure 9.
  • the position query and model extraction process 310 (shown in Figure 3) performed by the method and system is described as follows.
  • the process 310 may begin with a position query request based on the one or a combination of the following fields reported by mobile device: global unique identification (G UID), local unique parameter, RS S I, etc 320.
  • G UID global unique identification
  • RS S I local unique parameter
  • the data model database is searched 330, then the matching data or resultant cell model may be extracted 340 for the queried parameter or parameters along with the coordinates, location or geolocation or any other form outcome that may indicate the geolocation of the mobile device.
  • the position estimation and result process 410 (shown in Figure 4) that may be performed by the method and system is described as follows.
  • the process 410 begins by determining the method of presentation, either using overlap, triangulation or exclusion 420. Then proceeds to extract the appropriate data models based on the query parameters 430, and deriving the position based on the method applied, for example most overlap, point of intersect or exclusion 440.
  • the position results may then be derived using statistical methods like normal, Gaussian, point confident 450 and the derived results may be presented, either using coordinates (x, y, radius) or any otherform of geolocation reporting 460.
  • point confident the derived location will have coordinates like (x, y) and a confidence level that the point is of a certain accuracy.
  • FIG. 13 An embodiment is shown in Figure 13, where a mobile device is requesting or sending a query for itgeolocation or position, a query 1330 is sent to the database 1350, and various cell models are extracted in response 1340, 1342, 1344, 1346.
  • the query is then resolved shown in Figure 14 by estimating the position of the mobile device using the extracted models 1440, 1442, 1444, 1446, and the position of the mobile device may be determined using the resultant cell model 1460, for example by highest overlapping, triangulation or exclusion method, or any other know method of determining intersection between the extracted models.
  • This result 1560 is presented to the mobile device (and the user) in Figure 15 by deriving the position 1570 through statistical methods using estimation data, for example normal, Gaussian, point confident, or any other known method.
  • determining the geolocation of the mobile device using the method as described is faster as all that is required is to extract cell models to derive the position based on the statistical method applied, with the added advantage of having no ambiguity.
  • Radio parameters captured will be directly stored in database as records iii.
  • the records form a unique C ell model for the unique captured radio parameter
  • New C ell Modelling approach for position extraction of Mobile devices for G eo- Location For G eo-Location system to determine the physical location of mobile device correctly it need take reference positions from the nearby C ell Towers (G lobal Unique Identification " G UID) and G PS co-ordinates.
  • G UID G lobal Unique Identification
  • G PS co-ordinates The above said limitation is overcome by New C ell Modelling Method, which makes use of the following Radio Parameters for position extraction,
  • G UID Mobile Device C onnected Cell Tower G lobal Unique Identification
  • UAR FC N UAR FC N
  • PS C PS C
  • RS S I Mobile Device C onnected Cell Tower G lobal Unique Identification
  • the mobile device physical position may be extracted for Geo-Location S ervices.
  • the method and system may include the following:
  • G UID G lobal unique Identification
  • UAR FC N UAR FC N
  • PS C & RS S I G PS (x, y)
  • RS S I may be optional parameter under the G lobal Unique radio parameter, as the local unique radio parameter of either UAR FC N or PS C would be sufficient. In other embodiments, the RS S I of local unique radio parameter is also an optional parameter.
  • the radio parameter capturing process may be described using the following:
  • iv. Position query is performed by extracting the unique cell models based on the statistical method applied
  • Step 1 Radio Parameters Captured by Mobile Device.
  • Mobile Device Connected Cell Tower Global Unique Identification (GUID), UARFCN, PSC, RSSI.
  • GUID Global Unique Identification
  • Non-unique Parameters UARFCN, PSC, RSSI.
  • Step 2 GPS position captured ata given location of interest (Refer Figure.6)
  • Step 3 Captured Radio parameters and GPS Location is transferred to the database server. (Refer Figure.6)
  • Step 4 Tagging local non- unique parameter to have the same Global unique parameter to generate a unique Cell Model. (Refer Figure.7)
  • Process 1 Mobile Data Collection for Steps 1-3 (Referto Figure 1).
  • Step 5 Unique Cell Model Generation from the radio parameters stored in the database (Refer Figures 8-12)
  • Step 6 Cell Model Extraction for position query ( Figures 13 & 14)
  • Process 3 Process Query & Model Extraction for Step 6
  • Step 7 Position Estimation & Result Presentation ( Figure.15)

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)
  • Navigation (AREA)
  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)

Abstract

La présente invention concerne un procédé et un système pour déterminer une géolocalisation d'un dispositif mobile, qui comprend la capture d'une pluralité de premiers paramètres radio d'une première tour cellulaire, la capture d'une pluralité de deuxièmes paramètres radio d'une deuxième tour cellulaire, la pluralité de deuxièmes paramètres radio étant des paramètres radio localement uniques, l'étiquetage de la pluralité de deuxièmes paramètres radio à la pluralité de premiers paramètres radio, la génération d'une pluralité de modèles de cellule de base au moyen de la pluralité de premiers et deuxièmes paramètres radio, l'extraction d'une pluralité de modèles de cellule résultants sur la base d'une requête de position provenant du dispositif mobile et d'une pluralité de modèles de cellules de base, et la détermination de la géolocalisation du dispositif mobile à partir de la pluralité de modèles de cellules résultants, la géolocalisation du dispositif mobile étant déterminée de façon statistique au moyen de la pluralité de modèles de cellule résultants.
PCT/SG2017/050218 2016-04-29 2017-04-20 Système de géolocalisation pour un dispositif mobile Ceased WO2017188894A1 (fr)

Priority Applications (5)

Application Number Priority Date Filing Date Title
MYPI2018702029A MY195196A (en) 2016-04-29 2017-04-20 A Geolocating System for a Mobile Device
CN201780005432.3A CN108474833A (zh) 2016-04-29 2017-04-20 移动装置所用的地理定位系统
HK19100165.8A HK1257777A1 (zh) 2016-04-29 2017-04-20 移动装置所用的地理定位系统
AU2017255214A AU2017255214C9 (en) 2016-04-29 2017-04-20 A geolocating system for a mobile device
SG11201804586PA SG11201804586PA (en) 2016-04-29 2017-04-20 A geolocating system for a mobile device

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SG11201804586PA (en) 2018-06-28
MY195196A (en) 2023-01-11
AU2017255214C9 (en) 2019-11-21
HK1257777A1 (zh) 2019-10-25
AU2017255214B9 (en) 2019-06-06
AU2017255214C1 (en) 2019-11-14
AU2017255214B2 (en) 2019-05-16
AU2017255214A1 (en) 2018-06-07

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