CN107979809A - It is a kind of according to distributed mobile base station and the fingerprint positioning method of edge calculations - Google Patents
It is a kind of according to distributed mobile base station and the fingerprint positioning method of edge calculations Download PDFInfo
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- CN107979809A CN107979809A CN201711029980.8A CN201711029980A CN107979809A CN 107979809 A CN107979809 A CN 107979809A CN 201711029980 A CN201711029980 A CN 201711029980A CN 107979809 A CN107979809 A CN 107979809A
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- finger print
- fingerprint
- base station
- print data
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
-
- 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
- H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
Abstract
The present invention provides a kind of according to distributed mobile base station and the fingerprint positioning method of edge calculations, it required calculation amount and can improve positioning accuracy and propose to reduce data center in positioning.MEC equipment of the present invention first in mobile base station side by deployment, the original CE data being collected into from user terminal are handled, duplicate removal is obtained after processing and without the location fingerprint data of shortage of data, location fingerprint data is uploaded to data center.Then in data center, the data that the MEC equipment of multiple mobile base station sides is brought is merged and form final location fingerprint storehouse.In positioning stage, using this continuous renewal and the fingerprint base without missing data, matched method is carried out to obtain the longitude and latitude of user present position by the cellid of first matched base stations, then to finger print datas such as field strength, deflections, realizes and user is accurately positioned.
Description
Technical field
The present invention relates to the wireless traffic in moving communicating field to support field, and in particular to a kind of mobile according to distribution
Base station and the fingerprint positioning method of edge calculations.
Background technology
The current location algorithm according to received signals fingerprint is required for by the way that the finger print data gathered in advance is uploaded to data
Center, is handled the data transmitted in data center, filters invalid data, removes the data of repetition, and is needed regular
Collection renewal fingerprint base data.Such way, the pressure of data center is very big, and handles, fingerprint base very slow with calculating speed
Renewal not in time, can not ensure positioning accuracy using newest fingerprint base data.Therefore, it is badly in need of one kind now according to distribution
The mobile base station of formula and the fingerprint positioning method of edge calculations.
The content of the invention
The present invention is at least one defect overcome described in the above-mentioned prior art, there is provided one kind is according to distributed mobile base station
With the fingerprint positioning method of edge calculations.
In order to solve the above technical problems, technical scheme is as follows：
It is a kind of according to distributed mobile base station and the fingerprint positioning method of edge calculations, comprise the following steps：
S1：Distributed fingerprint data acquisition, specifically includes：
S1.1：In user equipment side, by specific software and services come the finger print data of report of user local environment, residing ring
The finger print data in border include user equipment receive near base station cell identification information（cellid）With each base station pair
The longitude and latitude degrees of data of GPS on field strength data, delay data and direction angular data and the user equipment answered；
S1.2：By the mobile edge calculations for being deployed in base station（MEC, Mobile Edge Computing）Equipment, to passing through this
The user environment that base station uploads（CE, Customer Environment）Finger print data is handled, and removes the weight inside data
Multiple record is recorded with missing, and the complete effective finger print data after processing is passed to data center；
S1.3：Data center receives the finger print data from multiple base stations, these data are merged, and forms and final determines
Position fingerprint base；
S2：Tuning on-line, specific steps include：
S2.1：The measurement report data of user equipment to be positioned is taken by the soft harvest of signaling, the measurement report data includes
The mark of involved cell（cellid）, the field strength data of involved cell, delay data and direction angular data；
S2.2：The cell ID where terminal to be positioned is matched in the location fingerprint storehouse generated in step sl（cellid）, choosing
Select and identified containing these areas（cellid）Finger print data；
S2.3：Calculate the Euclidean distance between the finger print data of record to be positioned and the finger print data of selection, selection with it is to be positioned
Record in the nearest fingerprint base of user equipment fingerprint recording, takes the longitude and latitude wherein stored as positioning result；
Preferably, the method further includes：
The location fingerprint data produced by gathering user equipment, location fingerprint storehouse real-time update, without to whole location algorithm
Frame be adjusted, only need to according to the increase of finger print data, increase certain equipment come extension storage capacity with improve fingerprint
Matching speed.
Preferably, in step S1.2, carried out from the finger print data of user equipment collection in the MEC equipment that base station side is disposed
Processing, only data center is passed to after the completion of processing by effective finger print data, and MEC passes finger print data and meets the following conditions：
1）, latitude and longitude value must be included in finger print data；
2）, MEC equipment the finger print data collected need to be stored, be accumulated to preset data amount or when default
Between, finger print data is passed into data center；
3）, the finger print data in MEC equipment is uploaded to before data center to the finger print data for removing repetition each time；
4）, delay data numerical value be less than or equal to use user data standard permission maximum；
5）, user equipment uploads the distance of cell and the user's equipment involved by finger print data and is less than or equal to 3000 meters.
Preferably, in step S1.3, after finger print data is uploaded to data center by each MEC equipment, to each base station
The finger print data that MEC equipment transmits merges, and location fingerprint storehouse is used as after merging, which receives base station side MEC at any time
The new finger print data that equipment transmits.
Preferably, in step S2, when being matched using the fingerprint database having had been built up, first according to base station
Cellid reduces fingerprint base scope, when next step carries out specific location matching, can improve matched speed.
Preferably, in step S2, a small sub fingerprint database is filtered out by base station, afterwards to user to be positioned
The field strength data of the field strength data that equipment is uploaded, delay data and direction angular data and the sub fingerprint database filtered out, when
Prolong data and direction angular data use it is closest（KNN）Algorithm, finds out and records most matched sub fingerprint with user equipment to be positioned
Record in database, this records corresponding latitude and longitude value, as the positioning result to user equipment.
Preferably, the finger print data of fingerprint database adds having time mark in storage.
Preferably, the finger print data in MEC equipment at interval of 24 it is small when, or storage effective finger print data record exceed
Trigger and upload at 10000.
Preferably, fingerprint database real-time update, analyzes fingerprint database every the default time, by fingerprint number
According in the region of comparatively dense, fingerprint renewal time record deletion more remote.Due to enriching constantly for fingerprint database, positioning is calculated
Method, which can be compared, other is separated by that the algorithm that just updates for a long time is simpler, and locating speed is faster more accurate.
Compared with prior art, the beneficial effect of technical solution of the present invention is：The present invention provides a kind of according to distribution shifting
Dynamic base station and the fingerprint positioning method of edge calculations, it be in order to reduce data center in positioning required calculation amount and
Positioning accuracy can be improved and proposed.MEC equipment of the present invention first in mobile base station side by deployment, will be from user terminal
On the original CE data that are collected into handled, duplicate removal is obtained after processing and without the location fingerprint data of shortage of data, by position
Put finger print data and upload to data center.Then in data center, the number that the MEC equipment of multiple mobile base station sides is brought is merged
According to the location fingerprint storehouse that composition is final.In positioning stage, using this continuous renewal and the fingerprint base without missing data, pass through first
Cellid with base station, then matched method is carried out to finger print datas such as field strength, deflections to obtain the warp of user present position
Latitude, realizes and user is accurately positioned.
Brief description of the drawings
Fig. 1 is embodiment 1 according to distributed mobile base station and the schematic diagram of the fingerprint positioning method of edge calculations.
Embodiment
Technical scheme is described further with reference to the accompanying drawings and examples.
Embodiment 1
As shown in Figure 1, the present embodiment, for the base station of China Mobile, to increase the side of the deployment of MEC equipment and computer program
Formula, by plan implementation into mobile fingerprint location system.
It is a kind of according to distributed mobile base station and the fingerprint positioning method of edge calculations, comprise the following steps：
S1：Distributed fingerprint data acquisition, specifically includes：
S1.1：In user equipment side, by specific software and services come the finger print data of report of user local environment, residing ring
The finger print data in border include user equipment receive near base station cell identification information（cellid）With each base station pair
The longitude and latitude degrees of data of GPS on field strength data, delay data and direction angular data and the user equipment answered；
Step S1.1 does not do data any processing, is sampled according to certain time interval, at interval of on the regular hour
MEC equipment of the data that biography collects to base station side；
S1.2：By the mobile edge calculations for being deployed in base station（MEC, Mobile Edge Computing）Equipment, to passing through this
The user environment that base station uploads（CE, Customer Environment）Finger print data is handled, and removes the weight inside data
Multiple record is recorded with missing, and the complete effective finger print data after processing is passed to data center；Step S1.2 uses such as subscript
It is accurate：
1）Screening the standard of effective finger print data is, must include field strength data, delay data and direction in finger print data at the same time
Angular data and corresponding longitude and latitude position data.
2）Before data are uploaded to data center each time, it should which data are gone according to the field in addition to the time
Handle again.
3）It is every 24 it is small when or data storage capacity often up to 10000, trigger data deduplication operation simultaneously uploads to data center.
The present embodiment stores finger print data using sqlite3 databases in MEC equipment, and finger print data table is just like lower word
Section：
ServingCellid:The identification information of serving cell, Int types；
Cellid：The identification information of cell, Int types；
Latitude:This records sampling latitude, Double types；
Longitude:This records sampling longitude, Double types；
EventTime:Data acquisition time；
CellRsrp:Field strength data, Double types；
Ta:With the time delay of cell, Double types；
Aoa:With the deflection of cell, Double types.
S1.3：Data center receives the finger print data from multiple base stations, these data are merged, and composition is final
Location fingerprint storehouse；Step S1.3 uses following standard：
1）Data center receives the data sended over from each base station side MEC equipment；In data center, use
PostgreSQL stores finger print data；
2）When data center stores finger print data, in addition to the original field of fingerprint database, data receipt time field need to be increased,
Record time data memory.
In step S1.3, finger print data is stored in PostgreSQL databases, Database field is as follows：
ServingCellid:The identification information of serving cell, Int types
Cellid：The identification information of cell, Int types
Latitude:This records sampling latitude, Double types；
Longitude:This records sampling longitude, Double types；
EventTime:Data acquisition time；
CellRsrp:Field strength data, Double types；
Ta:With the time delay of cell, Double types；
Aoa:With the deflection of cell, Double types；
SaveTime：Data are stored in the time of PostgreSQL databases, datetime types.
S2：Tuning on-line, specific steps include：
（1）, parse from signaling the mark i.e. cellid of the base station that user equipment to be positioned can connect, and corresponding field
Strong data RSRP, delay data Ta, and direction angular data Aoa, location fingerprint data of these data as user；
（2）, the extraction user equipment to be positioned serving cell that can be connected and the cell that signal can be received top before 3, composition
One set { cellid01, cellid02, cellid03.cellid04 } being made of the cellid of 4 cells;
（3）, the cellid of serving cell that is connected according to user equipment to be positioned, screening is all to include the serving cell
The record of cellid, extracts the cellid sequences at each position in these records, and corresponding with these cellid sequences
Field strength；
（4）, by step（2）The cellid set and step extracted（3）The cellid sequences extracted do intersection operation, selection
Go out the most cellid sequences of intersection result element；
（5）, such as step（4）The sequence selected only has one, then it is positioning result to select the corresponding position of the sequence, if
Multiple sequences, then extraction step（4）In the cellid sequences that match and match in step（3）The field strength data of middle record, when
Prolong data and direction angular data；
（6）, calculate the field strength data that user equipment to be positioned uploads, delay data and direction angular data and step（5）Middle extraction
The field strength data gone out, the Euclidean distance between delay data and direction angular data, the fingerprint recording of chosen distance minimum are corresponding
Longitude and latitude position is as positioning result.
Obviously, the above embodiment of the present invention is only intended to clearly illustrate example of the present invention, and is not pair
The restriction of embodiments of the present invention.For those of ordinary skill in the field, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
All any modification, equivalent and improvement made within the spirit and principle of invention etc., should be included in the claims in the present invention
Protection domain within.
Claims (9)
- It is 1. a kind of according to distributed mobile base station and the fingerprint positioning method of edge calculations, it is characterised in that to comprise the following steps：S1：Distributed fingerprint data acquisition is built, is specifically included：S1.1：In the finger print data of user equipment side report of user local environment, the finger print data of local environment is set including user It is standby receive near base station cell the corresponding field strength data of identification information and each base station, delay data and deflection number The longitude and latitude degrees of data of GPS according to this and on user equipment；S1.2：By being deployed in the mobile edge calculations equipment of base station, the finger print data uploaded by this base station is handled, Remove the repetition record inside data to record with missing, the complete effective finger print data after processing is passed into data center；S1.3：Data center receives the finger print data from multiple base stations, these data are merged, and forms and final determines Position fingerprint base；S2：Tuning on-line, specific steps include：S2.1：The measurement report data of user equipment to be positioned is taken by the soft harvest of signaling, the measurement report data includes The mark of involved cell, the field strength data of involved cell, delay data and direction angular data；S2.2：The cell ID where terminal to be positioned is matched in the location fingerprint storehouse generated in step sl, selection contains this The finger print data of a little cell IDs；S2.3：Calculate the Euclidean distance between the finger print data of record to be positioned and the finger print data of selection, selection with it is to be positioned Record in the nearest fingerprint base of user equipment fingerprint recording, takes the longitude and latitude wherein stored as positioning result.
- 2. according to claim 1 exist according to distributed mobile base station and the fingerprint positioning method of edge calculations, its feature In the method further includes：The location fingerprint data produced by gathering user equipment production, location fingerprint storehouse being capable of real-time update.
- 3. according to claim 1 exist according to distributed mobile base station and the fingerprint positioning method of edge calculations, its feature In in step S1.2, the finger print data gathered from user equipment is handled in the MEC equipment that base station side is disposed, and has been handled Effective finger print data is passed into data center into rear, MEC passes finger print data and meets the following conditions：1）, latitude and longitude value must be included in finger print data；2）, MEC equipment the finger print data collected need to be stored, be accumulated to preset data amount or when default Between, finger print data is passed into data center；3）, the finger print data in MEC equipment is uploaded to before data center to the finger print data for removing repetition each time；4）, delay data numerical value be less than or equal to use user data standard permission maximum；5）, user equipment uploads the distance of cell and the user's equipment involved by finger print data and is less than or equal to 3000 meters.
- 4. according to claim 1 exist according to distributed mobile base station and the fingerprint positioning method of edge calculations, its feature In in step S1.3, after finger print data is uploaded to data center by each MEC equipment, being transmitted to the MEC equipment of each base station Finger print data merges, and is used as location fingerprint storehouse after merging, and the base station side MEC equipment that the fingerprint base receives at any time transmits new Finger print data.
- 5. according to claim 1 exist according to distributed mobile base station and the fingerprint positioning method of edge calculations, its feature In in step S2, when being matched using the fingerprint database having had been built up, first according to the cellid of base station diminution fingerprints Storehouse scope.
- 6. according to claim 1 exist according to distributed mobile base station and the fingerprint positioning method of edge calculations, its feature In in step S2, filtering out a small sub fingerprint database by base station, user equipment to be positioned uploaded afterwards The field strength data of field strength data, delay data and direction angular data and the sub fingerprint database filtered out, delay data and direction Angular data uses k-nearest neighbor, finds out the record recorded with user equipment to be positioned in most matched sub fingerprint database, should Corresponding latitude and longitude value is recorded, as the positioning result to user equipment.
- 7. according to claim 1 exist according to distributed mobile base station and the fingerprint positioning method of edge calculations, its feature In the finger print data of fingerprint database adds having time mark in storage.
- 8. according to claim 1 exist according to distributed mobile base station and the fingerprint positioning method of edge calculations, its feature When, finger print data in MEC equipment is small at interval of 24, or when effective finger print data of storage is recorded more than 10000, touches Hair uploads.
- 9. according to claim 1 exist according to distributed mobile base station and the fingerprint positioning method of edge calculations, its feature In fingerprint database real-time update, analyzes fingerprint database every the default time, by the area of finger print data comparatively dense In domain, fingerprint renewal time record deletion more remote.
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Cited By (9)
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| CN108712718A (en) * | 2018-05-14 | 2018-10-26 | 中国联合网络通信集团有限公司 | Location processing method, device, server and storage medium |
| CN109391923A (en) * | 2018-10-25 | 2019-02-26 | 大唐高鸿信息通信研究院（义乌）有限公司 | A kind of building energy consumption management method and system based on 5G framework |
| CN109492536A (en) * | 2018-10-12 | 2019-03-19 | 大唐高鸿信息通信研究院（义乌）有限公司 | A kind of face identification method and system based on 5G framework |
| CN109814137A (en) * | 2019-02-26 | 2019-05-28 | 腾讯科技（深圳）有限公司 | Localization method, device and calculating equipment |
| CN110324433A (en) * | 2019-08-07 | 2019-10-11 | 南京理工大学 | The matching game method of user and base station based on mobile edge calculations |
| CN112804348A (en) * | 2021-02-07 | 2021-05-14 | 浙江御安信息技术有限公司 | Method for judging repeatability of reported data of edge computing node by cloud monitoring center |
| CN113126026A (en) * | 2019-12-31 | 2021-07-16 | 中移(成都)信息通信科技有限公司 | Positioning system, method and storage medium |
| CN113407464A (en) * | 2020-03-16 | 2021-09-17 | 中移(上海)信息通信科技有限公司 | Data processing method, device, equipment and medium |
| WO2021253965A1 (en) * | 2020-06-19 | 2021-12-23 | 中兴通讯股份有限公司 | Positioning method, edge computing platform, positioning platform, and computer readable medium |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108712718A (en) * | 2018-05-14 | 2018-10-26 | 中国联合网络通信集团有限公司 | Location processing method, device, server and storage medium |
| CN109492536A (en) * | 2018-10-12 | 2019-03-19 | 大唐高鸿信息通信研究院（义乌）有限公司 | A kind of face identification method and system based on 5G framework |
| CN109391923A (en) * | 2018-10-25 | 2019-02-26 | 大唐高鸿信息通信研究院（义乌）有限公司 | A kind of building energy consumption management method and system based on 5G framework |
| CN109391923B (en) * | 2018-10-25 | 2022-06-14 | 大唐高鸿信息通信研究院（义乌）有限公司 | Building energy consumption management method and system based on 5G architecture |
| CN109814137A (en) * | 2019-02-26 | 2019-05-28 | 腾讯科技（深圳）有限公司 | Localization method, device and calculating equipment |
| CN110324433A (en) * | 2019-08-07 | 2019-10-11 | 南京理工大学 | The matching game method of user and base station based on mobile edge calculations |
| CN113126026A (en) * | 2019-12-31 | 2021-07-16 | 中移(成都)信息通信科技有限公司 | Positioning system, method and storage medium |
| CN113126026B (en) * | 2019-12-31 | 2024-04-19 | 中移(成都)信息通信科技有限公司 | Positioning system, method and storage medium |
| CN113407464A (en) * | 2020-03-16 | 2021-09-17 | 中移(上海)信息通信科技有限公司 | Data processing method, device, equipment and medium |
| CN113407464B (en) * | 2020-03-16 | 2023-10-27 | 中移(上海)信息通信科技有限公司 | Data processing method, device, equipment and medium |
| WO2021253965A1 (en) * | 2020-06-19 | 2021-12-23 | 中兴通讯股份有限公司 | Positioning method, edge computing platform, positioning platform, and computer readable medium |
| CN112804348A (en) * | 2021-02-07 | 2021-05-14 | 浙江御安信息技术有限公司 | Method for judging repeatability of reported data of edge computing node by cloud monitoring center |
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Application publication date: 20180501 |