CN102387530A - User position detection method, user position detection device and user position detection system - Google Patents

User position detection method, user position detection device and user position detection system Download PDF

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Publication number
CN102387530A
CN102387530A CN2010102762567A CN201010276256A CN102387530A CN 102387530 A CN102387530 A CN 102387530A CN 2010102762567 A CN2010102762567 A CN 2010102762567A CN 201010276256 A CN201010276256 A CN 201010276256A CN 102387530 A CN102387530 A CN 102387530A
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base station
sampled point
position information
customer location
latitude
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于卓奇
齐岩
包海涛
薛锐
姜红英
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China Mobile Group Heilongjiang Co Ltd
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China Mobile Group Heilongjiang Co Ltd
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Abstract

The invention discloses a user position detection method, a user position detection device and a user position detection system. The user position detection method comprises the following steps of: acquiring measured data from a terminal and a base station, and resolving relative position information of every sampling point according to the measured data; B, matching every sampling point with the base station latitude and longitude information of the base station where the sampling point is positioned; and C, resolving practical position information of every sampling point according to the relative position information of every sampling point and the base station latitude and longitude information. In the user position detection method, the user position detection device and the user position detection system, the practical position of every sampling point is computed according to the measured data by using the measuring functions of TD-SCDMA (Time Division-Synchronization Code Division Multiple Access) network base station equipment (NodeB for short) and user equipment (UE). According to the invention, the position of a user can be acquired accurately, the user distribution condition can be accurately counted, and the information of user distribution in a network can be reflected objectively.

Description

Customer location detection method, Apparatus and system
Technical field
The present invention relates to a kind of wireless technology, relate in particular to a kind of customer location detection method, Apparatus and system.
Background technology
In mobile communications network, operator need objectively grasp the user distribution situation in the network, as the foundation of promoting service, network topology planning, raising network coverage reasonability and lifting user perceptibility.
In the TD-SCDMA network, the method for grasping user distribution has two kinds at present:
1, extracts traffic measurement, obtain the user's communication quantity of appointed area (in MSC) in the unit interval, mark off user density and concentrate and sparse zone, and the zone drafting mode by hand that will mark off is presented in the two-dimensional map;
2, the contact staff passes through phone or survey mode, the positional information when statistics of user's is conversed usually, the distribution situation of certain customers in the acquisition network.Through gathering investigation result, manual spatial distribution position with each user is labeled in the two-dimensional map.
Extract the method for traffic statistics analysis user distribution, can only be through user's in the statistical unit time talk times, the number of users in the rough estimation area can't accurately calculate the number of users and the user's accurate position that take network in the unit interval.In addition, the method uses artificial map making simply to present the user distribution situation, can not objectively reflect the information of user distribution in the network.
In addition, the method that the contact staff uses phone or survey mode statistics of user's to distribute has certain one-sidedness, can't obtain the accurate information that the whole network user distributes.Exact position when the result that obtains of investigation can't present number of times and the user's communication of single user's communication.Manual customer location is labeled in needs to consume great amount of time, manpower on the map.
Summary of the invention
The objective of the invention is to, a kind of customer location detection method, Apparatus and system are provided, can calculate user's position accurately, statistics of user's distribution situation accurately objectively responds out the accurate information of user distribution in the network.
For realizing above-mentioned purpose, according to an aspect of the present invention, a kind of customer location detection method is provided, comprising:
A, from the terminal and the base station obtain measurement data, parse the relative position information of each sampled point according to said measurement data;
B, be the latitude and longitude of base station information of its base station, place of said each sampled point coupling;
C, the actual position information that calculates each sampled point according to the relative position information and the latitude and longitude of base station information of said each sampled point.
For realizing above-mentioned purpose, according to another aspect of the present invention, a kind of customer location checkout gear is provided, comprising:
Data processing module is used for from the terminal and the base station obtains measurement data, parses the relative position information of each sampled point according to said measurement data, and is the latitude and longitude of base station information of said each its base station, place of sampled point coupling;
The location compute module is used for the actual position information that relative position information and latitude and longitude of base station information according to said each sampled point calculate each sampled point.
For realizing above-mentioned purpose, according to another aspect of the present invention, a kind of customer location detection system is provided, comprising:
Base station and terminal are used for testing according to test assignment respectively, and report test data;
The customer location checkout gear is used for obtaining measurement data from base station and terminal, parses the relative position information of each sampled point according to said measurement data, and is the latitude and longitude of base station information of said each its base station, place of sampled point coupling; The actual position information that calculates each sampled point according to the relative position information and the latitude and longitude of base station information of said each sampled point.
Customer location detection method of the present invention, Apparatus and system through utilizing the measurement function of TD-SCDMA network base station equipment (being called for short NodeB) and subscriber equipment (being called for short UE), calculate the physical location of each sampled point according to measurement data.Therefore, can obtain user's position accurately, statistics of user's distribution situation accurately objectively responds out the information of user distribution in the network.In addition, utilize the actual position information of the sampled point calculate, can in two-dimentional electronic chart, present the user distribution situation of each sub-district, make things convenient for the staff to inquire about and add up, practiced thrift great amount of manpower and material resources.
Description of drawings
Fig. 1 is a customer location detection method embodiment flow chart of the present invention;
Fig. 2 is customer location checkout gear of the present invention and system embodiment structure chart.
Embodiment
Raw measurement data required for the present invention derives from the measurement item that defines in the 3GPP standard.3GPP regulation and stipulation, measurement are critical functions of TD-SCDMA system, and the network equipment (NodeB and UE) should have the ability of measuring the measurement item of stipulating in the 3GPP standard.Metering system comprises period measurement and Event triggered measurement.The period measurement item comprises: the received signal code power of international mobile subscriber identity UE IMSI, the identify label (hereinafter to be referred as Scell_ID) of measuring sampling time (TIME STAMP), Serving cell and adjacent sub-district, PCCPCH channel, slot interfering signal of time sign indicating number power, Timing Advance (being called for short Tadv), antenna angle of arrival (being called for short AOA), Block Error Rate, UE power grade information etc. (are seen 3GPP 25.123 Requirements for support of radio resource management (TDD), 3GPP 25.225 Physical layer; Measurements (TDD)).
Wherein, the value of Tadv is from 0 to 1023.875chips in the measurement data, and occurrence is as shown in table 1 below:
Reported_value Measured?quantity?value Unit
TIMING_ADVANCE_0000 Timing?Advance<0.125 chip
TIMING_ADVANCE_0001 0.125<=Timing?Advance<0.25 chip
... ... ...
TIMING_ADVANCE_1023 127.875<=Timing?Advance<128 chip
... ... ...
TIMING_ADVANCE_8189 1023.625<=Timing?Advance<1023.75 chip
TIMING_ADVANCE_8190 1023.75<=Timing?Advance<1023.875 chip
TIMING_ADVANCE_8191 1023.875<=Timing?Advance chip
Table 1
(derive from 3GPP standard TS25.2255.1.14, TS25.123 V6.11.09.1.2.2.2.)
AOA is distinctive measurement in the TD-SCDMA system, and 3GPP regulation and stipulation, AOA are to be reference direction with positive north, the angle (clockwise direction) with positive north of transmitting when arriving NodeB of UE.The value of AOA from 0 to 360 degree in the measurement report, occurrence is as shown in table 2 below:
Figure BSA00000263335600031
Figure BSA00000263335600041
Table 2
(derive from 3GPP standard TS25.2255.2.14, TS25.1239.2.1.13.2.)
Method embodiment
It mainly is the measurement data according to base station and terminal that customer location of the present invention detects, and calculates user's physical location, for example user's latitude and longitude coordinates.As shown in Figure 1, customer location detection method embodiment of the present invention may further comprise the steps:
Step 102; Obtain measurement data from NodeB and UE, comprising: the measurement item of Scell_ID, UE IMSI, TIME STAMP, Tadv and AOA, gather the signaling information of measuring task in the corresponding time from Iub interface; Extract wherein measurement data, measurement data is as shown in table 3 below:
Table 3
Step 104 parses the relative position information of each sampled point from measurement data,
This relative position information is the positional information of each sampled point with respect to the base station; With the value of measuring a Tadv and AOA according to 3GPP standard TS25.2255.2.14; TS25.1239.2.1.13.2 converts actual measured value into; For example: the report value TIMING_ADVANCE_0000=0.125chips of Tadv, and 1 chip theoretical: 300000000/1280000=234.375 rice, so TIMING_ADVANCE_0000=29 rice; The report value AOA_ANGLE_000=0.5 degree of AOA, the AOA_ANGLE_001=1 degree, the AOA_ANGLE_002=1.5 degree ...; Measurement data and storage format after the parsing are as shown in table 4 below:
Figure BSA00000263335600051
Table 4
Step 106 is carried out smoothing processing to measurement data,
This step is that the measurement data after resolving is carried out further data processing; Because be Millisecond measuring period, sampled point is more, for fear of the data difference that sampled point is shaken and report value reports disappearance to cause; Measurement data after this step will be resolved is carried out smoothing processing; Can be benchmark to measure a Scell_ID, be that unit averages respectively to measurement item Tadv and AOA in one second with the second, and it is as shown in table 5 below to obtain sampled data:
Figure BSA00000263335600062
Table 5
Step 108 is each sampled point matched base stations latitude and longitude information,
Measurement data based on above-mentioned steps obtains is said each sampled point matched base stations latitude and longitude information according to measuring a Scell_ID and base station basic database, and is as shown in table 6 below:
Figure BSA00000263335600063
Figure BSA00000263335600071
Table 6
Step 110, according to the actual position information that the relative position information and the latitude and longitude of base station information of said each sampled point calculates each sampled point, the actual position information of each sampled point is represented with latitude and longitude coordinates;
Because base station and user's position representes with longitude and latitude, and position calculation method is based upon plane geometry and closes and fasten, so need the latitude and longitude coordinates of base station be converted to the plane coordinates value,
(1) with the latitude and longitude of base station information translation of each sampled point be the base station the plane rectangular coordinates value (Xi, Yi), wherein i represents the sampled point sequence number;
(2) concern the plane rectangular coordinates value (α i, β i) that calculates each sampled point through plane geometry according to the plane rectangular coordinates of base station and the relative position information of sampled point (value of Tadvi and AOAi);
(3) the plane rectangular coordinates value (α i, β i) of sampled point is converted to the latitude and longitude coordinates value of sampled point;
Adopt in the present embodiment is that the latitude and longitude coordinates that Gauss-positive solution formula of Lv Ke Coordinate Conversion will characterize subdistrict position in each sampled point of customer location converts plane rectangular coordinates value (Xi to; Yi), and the utilization Gauss-anti-solution formula of Lv Ke Coordinate Conversion convert the plane rectangular coordinates value of each sampled point to the latitude and longitude coordinates value.
The conversion regime of plane rectangular coordinates and longitude and latitude not only adopts Gauss-Lv Ke Coordinate Conversion formula, also can practical other existing formulae, give unnecessary details no longer one by one at this.
In the present embodiment; After obtaining the latitude and longitude information of sampled point; Can use MapInfo (electronic chart standard), be made into tab (electronic chart form) file that sampling point distributions appears, import in the two-dimentional electronic chart; Import base station information and geography information again, just can present the user distribution situation of each sub-district of TD-SCDMA network intuitively.And; Can also set up customer location longitude and latitude and Serving cell Scell_ID associated match; Customer location longitude and latitude and UE IMSI associated match realize presenting the user distribution situation under certain sub-district through inquiry Scell_ID, realize presenting user's historical behavior track through inquiry UE IMSI.
The customer location detection method of present embodiment through utilizing the measurement function of TD-SCDMA network base station equipment (being called for short NodeB) and subscriber equipment (being called for short UE), calculates the physical location of each sampled point according to measurement data.Therefore, can obtain user's position accurately, statistics of user's distribution situation accurately objectively responds out the information of user distribution in the network.In addition, utilize the actual position information of the sampled point calculate, can in two-dimentional electronic chart, present the user distribution situation of each sub-district, make things convenient for the staff to inquire about and add up, practiced thrift great amount of manpower and material resources.
Device embodiment
As shown in Figure 2, customer location checkout gear embodiment of the present invention comprises:
Data processing module 22 is used for terminal and base station and obtains measurement data, parses the relative position information of each sampled point according to measurement data, and is the latitude and longitude of base station information of said each its base station, place of sampled point coupling;
Location compute module 24 is used for the actual position information that relative position information and latitude and longitude of base station information according to said each sampled point calculate each sampled point.
Wherein, data processing module 22 converts the value of measuring a Tadv and AOA into actual measured value, and the relative position information of each sampled point is the actual measured value of Tadv and AOA.
Location compute module 24 is a plane rectangular coordinates with the latitude and longitude of base station information translation of each sampled point; Calculate the plane rectangular coordinates value of each sampled point according to the relative position information of the plane rectangular coordinates of base station and sampled point; And convert the plane rectangular coordinates value of sampled point to latitude and longitude coordinates.
Preferably, data processing module 22 also is used for measurement data is carried out smoothing processing, can be benchmark to measure a Scell_ID, is that unit averages respectively to measurement item Tadv and AOA in one second with the second, obtains sampled data.Through measurement data is carried out smoothing processing, the data difference of having avoided sampled point shake and report value to report disappearance to cause guarantees the accuracy of measuring.Location compute module 24 is resolved the position of the sampled point in the sampled data.
The customer location checkout gear of present embodiment through utilizing the measurement function of NodeB and UE in the TD-SCDMA network, calculates the physical location of each sampled point according to measurement data.Therefore, can obtain user's position accurately, statistics of user's distribution situation accurately objectively responds out the information of user distribution in the network.In addition, utilize the actual position information of the sampled point calculate, can in two-dimentional electronic chart, present the user distribution situation of each sub-district, make things convenient for the staff to inquire about and add up, practiced thrift great amount of manpower and material resources.
System embodiment
As shown in Figure 2, customer location detection system embodiment of the present invention comprises:
NodeB30 and UE40 are used for testing according to test assignment respectively, and report test data;
Customer location checkout gear 20 is used for obtaining measurement data from base station and terminal, from said measurement data, parses the relative position information of each sampled point, and is said each sampled point matched base stations latitude and longitude information; The actual position information that calculates each sampled point according to the relative position information and the latitude and longitude of base station information of said each sampled point.
Present embodiment also comprises: operation maintenance center's (Operations Maintenance Center is called for short OMC) 60 and spider lines controller (Radio Network Controller is called for short RNC) 50,
Operation maintenance center 60 is used on said radio network controller 50, customizing test assignment;
Radio network controller 50; Be used for test assignment is issued to NodeB30 and UE40 respectively; Requirement NodeB and UE measurement comprise Serving cell ID (being called for short Scell_ID), UE IMSI, measure the measurement item of sampling time (TIME STAMP), Timing Advance (hereinafter to be referred as Tadv) and antenna angle of arrival (hereinafter to be referred as AOA), and reporting measurement reports.
The measurement data of UE40 sends to NodeB30 through the Uu interface, and the measurement item of adding NodeB30 uploads to RNC50 through the Iub mouth.Customer location checkout gear 20 is gathered the measurement data of measuring task in the corresponding time at Iub interface.
In the present embodiment, customer location checkout gear 20 is for independent network element or be arranged in said radio network controller.
Present embodiment also comprises: present platform, be used for the actual position information according to said each sampled point, in two-dimentional electronic chart, present the user distribution situation of each sub-district; And/or inquiry unit, be used for actual position information inquiry community user distribution situation or user's historical behavior track according to said each sampled point.
The customer location detection system of present embodiment through utilizing the measurement function of NodeB and UE in the TD-SCDMA network, calculates the physical location of each sampled point according to measurement data.Therefore, can obtain user's position accurately, statistics of user's distribution situation accurately objectively responds out the information of user distribution in the network, and is responsive more to the grasp of user behavior.
In addition, utilize the measurement report analytical Calculation to go out location data, thereby present the method for user distribution, have that user distribution information is accurate, data are comprehensive, ageing high advantage, and saved a large amount of telephone expenses, time, manpower expenditure.In system, can search for according to time, zone, user; In two-dimensional map, demonstrate the various dimensions user distribution figure that has geography information, user profile, traffic information etc.; For the network maintenance staff improves network performance and user's perceptibility, the market employee commences business to promote provides important evidence.
What should explain is: above embodiment is only unrestricted in order to explanation the present invention, and the present invention also is not limited in above-mentioned giving an example, and all do not break away from the technical scheme and the improvement thereof of the spirit and scope of the present invention, and it all should be encompassed in the claim scope of the present invention.

Claims (18)

1. a customer location detection method is characterized in that, comprising:
A, from the terminal and the base station obtain measurement data, parse the relative position information of each sampled point according to said measurement data;
B, be the latitude and longitude of base station information of its base station, place of said each sampled point coupling;
C, the actual position information that calculates each sampled point according to the relative position information and the latitude and longitude of base station information of said each sampled point.
2. customer location detection method according to claim 1; It is characterized in that; In the said steps A, said measurement data comprises measures item: the identify label Scell_ID of Serving cell and adjacent sub-district, international mobile subscriber identity UE IMSI, measurement sampling time TIME STAMP, Timing Advance Tadv and antenna angle of arrival AOA.
3. customer location detection method according to claim 2 is characterized in that, said steps A comprises:
Measurement data is carried out smoothing processing; Comprise: to measure a Scell_ID is benchmark; With the second is that unit averages respectively to measurement item Tadv and AOA in one second, obtains sampled data, parses the relative position information of each sampled point according to said sampled data;
Among the said step B, be the latitude and longitude of base station information of each its base station, place of sampled point coupling in the sampled data;
Among the said step C, the actual position information that calculates said sampled point according to the relative position information and the latitude and longitude of base station information of each sampled point in the sampled data.
4. customer location detection method according to claim 2 is characterized in that, comprises in the said steps A:
Convert the said value of measuring a Tadv and AOA into actual measured value, the relative position information of said each sampled point is the actual measured value of Tadv and AOA.
5. customer location detection method according to claim 2 is characterized in that, said step B comprises:
According to a said measurement Scell_ID and base station basic database is the latitude and longitude of base station information of said each its base station, place of sampled point coupling.
6. according to any described customer location detection method in the claim 1 to 5, it is characterized in that said step C comprises:
With the latitude and longitude of base station information translation of each base station, sampled point place is the plane rectangular coordinates value of base station;
Calculate the corresponding plane rectangular coordinates value of each sampled point according to the plane rectangular coordinates value of said base station and the relative position information of said sampled point;
The plane rectangular coordinates value of said sampled point is converted to the latitude and longitude coordinates value of sampled point.
7. customer location detection method according to claim 1 is characterized in that, also comprises after the said step C:
According to the actual position information of said each sampled point, in two-dimentional electronic chart, present the user distribution situation of each sub-district.
8. a customer location checkout gear is characterized in that, comprising:
Data processing module is used for from the terminal and the base station obtains measurement data, parses the relative position information of each sampled point according to said measurement data, and is the latitude and longitude of base station information of said each its base station, place of sampled point coupling;
The location compute module is used for the actual position information that relative position information and latitude and longitude of base station information according to said each sampled point calculate each sampled point.
9. customer location checkout gear according to claim 8 is characterized in that, said measurement data comprises measures item: Scell_ID, UE IMSI, TIME STAMP, Tadv and AOA.
10. customer location checkout gear according to claim 9 is characterized in that, said data processing module, and also being used for to measure a Scell_ID is benchmark, is that unit averages respectively to measurement item Tadv and AOA in one second with the second, obtains sampled data; Resolve the relative position information of each sampled point according to said sampled data.
11. customer location checkout gear according to claim 9; It is characterized in that; Said data processing module also is used for converting the said value of measuring a Tadv and AOA into actual measured value, and the relative position information of said each sampled point is the actual measured value of Tadv and AOA.
12. any described customer location checkout gear in 11 is characterized in that according to Claim 8, said location compute module, and the latitude and longitude of base station information translation that is used for each base station, sampled point place is the plane rectangular coordinates value of base station; Calculate the corresponding plane rectangular coordinates value of each sampled point according to the plane rectangular coordinates value of said base station and the relative position information of said sampled point; The plane rectangular coordinates value of said sampled point is converted to the latitude and longitude coordinates value of sampled point.
13. a customer location detection system is characterized in that, comprising:
Base station and terminal are used for testing according to test assignment respectively, and report test data;
The customer location checkout gear is used for obtaining measurement data from base station and terminal, parses the relative position information of each sampled point according to said measurement data, and is the latitude and longitude of base station information of said each its base station, place of sampled point coupling; The actual position information that calculates each sampled point according to the relative position information and the latitude and longitude of base station information of said each sampled point.
14. customer location detection system according to claim 13 is characterized in that, also comprises: operation maintenance center and radio network controller,
Said operation maintenance center is used on said radio network controller, customizing test assignment;
Said radio network controller is used for test assignment is issued to said base station and terminal respectively.
15. customer location detection system according to claim 14 is characterized in that, said base station and terminal are used for test and comprise: the measurement item of Scell_ID, UE IMSI, TIME STAMP, Tadv and AOA.
16. customer location detection system according to claim 13 is characterized in that, said customer location checkout gear is gathered the measurement data of measuring task in the corresponding time at Iub interface.
17. customer location detection system according to claim 13 is characterized in that, said customer location checkout gear is independent network element or is arranged in said radio network controller.
18. customer location detection system according to claim 13 is characterized in that, also comprises:
Present platform, be used for actual position information, in two-dimentional electronic chart, present the user distribution situation of each sub-district according to said each sampled point;
And/or inquiry unit, be used for actual position information inquiry community user distribution situation or user's historical behavior track according to said each sampled point.
CN2010102762567A 2010-09-06 2010-09-06 User position detection method, user position detection device and user position detection system Pending CN102387530A (en)

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CN103428726A (en) * 2012-05-15 2013-12-04 中国移动通信集团黑龙江有限公司 Antenna angle optimization method and system
CN104823070A (en) * 2012-10-02 2015-08-05 诺基亚技术有限公司 Configuration of a sound system
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CN114040495A (en) * 2021-10-13 2022-02-11 广州瀚信通信科技股份有限公司 Joint defense joint control method and device based on mobile phone position information

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Application publication date: 20120321