CN105307262A - Positioning method and device for pseudo base station - Google Patents
Positioning method and device for pseudo base station Download PDFInfo
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- CN105307262A CN105307262A CN201410256741.6A CN201410256741A CN105307262A CN 105307262 A CN105307262 A CN 105307262A CN 201410256741 A CN201410256741 A CN 201410256741A CN 105307262 A CN105307262 A CN 105307262A
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Abstract
The invention provides a positioning method and device for a pseudo base station, and relates to the technical field of communication safety. The positioning method for the pseudo base station comprises the following steps: periodically acquiring signaling bill data of a plurality of cells; acquiring cells with abnormal location update according to the signaling bill data of the plurality of cells within the same statistical cycle; performing a clustering treatment on the cells with abnormal location update, and obtaining a plurality of cell clusters; and determining the position of the pseudo base station of each cell cluster according to the positions of the plurality of cells in each cell cluster and the location update abnormal condition. The positioning method obtains the cells with abnormal location update by analyzing the signaling bill data of the plurality of cells, clusters the cells affected by the same pseudo base station, and quickly positions the pseudo base station; on one hand, the quick positioning of the pseudo base station can be realized in terms of time; on the other hand, the positioning precision and accuracy can be improved in terms of space; therefore, the search range of capture work is reduced, the capture efficiency of the pseudo base station is improved, and a lot of manpower and financial resources are saved.
Description
Technical field
The present invention relates to technical field of communication safety and comprising, particularly a kind of localization method of pseudo-base station and device.
Background technology
Prior art is monitored signaling by network side, by the pseudo-base station activity of location updating anomaly, but prior art can only carry out the alarm of cell level to pseudo-base station activity, user carries out artificial judgment by community alarm, think that pseudo-base station is in this community, usual artificial judgment can only suppose that a pseudo-base station only have impact on a community, be difficult to carry out association analysis, in fact pseudo-base station is the access rate improving user, usually carrier cell intersection can be rested on, multiple community can be affected simultaneously, if conventionally scheme will think to there is multiple pseudo-base station in affected multiple neighbor cell, add the uncertainty of pseudo-base station location, expand the scope of arresting, waste a large amount of manpower financial capacity.
Summary of the invention
The object of the present invention is to provide a kind of localization method and device of pseudo-base station, realize the position of the pseudo-base station of quick position from the time; From spatially improving positioning precision and accuracy, reduce the hunting zone of the work of arresting, thus greatly improve pseudo-base station and arrest efficiency, save a large amount of manpower financial capacities.
In order to achieve the above object, the invention provides a kind of localization method of pseudo-base station, comprising:
Periodically obtain the signaling call bill data of multiple community;
According to the signaling call bill data of multiple community described in same measurement period, obtain the community of location updating exception;
Clustering processing is carried out to the community of described location updating exception, obtains multiple cell cluster;
According to position and the location updating abnormal conditions of the multiple communities in each cell cluster, determine the position of the pseudo-base station of each cell cluster.
Wherein, also comprise after determining the position of the pseudo-base station of each cell cluster:
Obtain the longitude and latitude position of pseudo-base station, and present the longitude and latitude position of described pseudo-base station.
Wherein, the step periodically obtaining the signaling call bill data of multiple community comprises:
The signaling call bill data of the multiple communities in measurement period is preset from monitoring signaling platform Real-time Obtaining.
Wherein, according to the signaling call bill data of multiple community described in same measurement period, the step obtaining the community of location updating exception comprises:
According to the signaling call bill data of described multiple community, obtain the location updating total degree of each community in same measurement period;
Compared with the first preset value by the location updating total degree of each community in described measurement period successively, community location updating total degree being greater than described first preset value is defined as the community of location updating exception.
Wherein, carry out clustering processing to the community of described location updating exception, the step obtaining multiple cell cluster comprises:
The historical position of community in described measurement period of the location updating number of times and each location updating exception that obtain the community of each the location updating exception in described measurement period upgrades average;
According to location updating number of times and the historical position renewal average of the community of described location updating exception, obtain the community that location updating intensity of anomaly is the highest;
According to the location updating intensity of anomaly of the highest community of described location updating intensity of anomaly, clustering processing is carried out to the community of position update abnormal, obtains multiple cell cluster.
Wherein, according to the location updating intensity of anomaly of the highest community of described location updating intensity of anomaly, carry out clustering processing to the community of position update abnormal, the step obtaining multiple cell cluster comprises:
If the location updating intensity of anomaly of the community that described location updating intensity of anomaly is the highest is less than the second preset value, process ends;
If the location updating intensity of anomaly of the community that described location updating intensity of anomaly is the highest is greater than or equal to the second preset value, obtain the multilayer adjacent area of the highest community of described location updating intensity of anomaly;
Obtain the common factor of the community of all location updating exceptions in the multilayer adjacent area of the highest community of described location updating intensity of anomaly and described measurement period, described common factor and the highest community of described location updating intensity of anomaly form a cell cluster;
From the community of all location updating exceptions in described measurement period, delete the community in described cell cluster, form new location updating abnormal cell collection;
If described new location updating abnormal cell concentrates community number to be 0, process ends; Otherwise continue to obtain the highest community of location updating intensity of anomaly, continue to determine other cell clusters.
Wherein, the step obtaining the multilayer adjacent area of the highest community of described location updating intensity of anomaly comprises:
The multilayer adjacent area of this community is obtained by the neighborhood region correlation chart of the highest community of described location updating intensity of anomaly; Or
The multilayer adjacent area of this community is obtained by the geographical location information of the highest community of described location updating intensity of anomaly.
Wherein, according to location updating number of times and the history renewal average of the community of described location updating exception, the step obtaining the highest community of location updating intensity of anomaly comprises:
Utilize location updating intensity of anomaly computing formula, calculate the location updating intensity of anomaly of the community of each location updating exception;
Compare the location updating intensity of anomaly of the community of each location updating exception successively, obtain the community that location updating intensity of anomaly is the highest.
Wherein, described location updating intensity of anomaly computing formula is:
The historical position of location updating number of times/this community in measurement period of location updating intensity of anomaly=community upgrades average.
Wherein, according to position and the location updating abnormal conditions of the multiple communities in each cell cluster, determine that the step of the position of the pseudo-base station of each cell cluster comprises:
Obtain latitude and longitude coordinates position and the location updating intensity of anomaly of the multiple communities in same cell cluster;
The latitude and longitude coordinates position of the pseudo-base station of this cell cluster is calculated according to the latitude and longitude coordinates position of multiple community and location updating intensity of anomaly.
The embodiment of the present invention also provides a kind of positioner of pseudo-base station, comprising:
Signaling acquisition module, for periodically obtaining the signaling call bill data of multiple community;
Signalling analysis module, for the signaling call bill data according to multiple community described in same measurement period, obtains the community of location updating exception;
Cluster Analysis module, for carrying out clustering processing to the community of described location updating exception, obtains multiple cell cluster;
Position locating module, for according to the position of the multiple communities in each cell cluster and location updating abnormal conditions, determines the position of the pseudo-base station of each cell cluster.
Wherein, described positioner also comprises:
Presenting module, for obtaining the longitude and latitude position of pseudo-base station, and presenting the longitude and latitude position of described pseudo-base station.
Wherein, described signaling acquisition module comprises:
Signaling obtains submodule, for presetting the signaling call bill data of the multiple communities in measurement period from monitoring signaling platform Real-time Obtaining.
Wherein, described signalling analysis module comprises:
First signalling analysis submodule, for the signaling call bill data according to described multiple community, obtains the location updating total degree of each community at same measurement period;
Second signalling analysis submodule, for being compared with the first preset value by the location updating total degree of each community in described measurement period successively, community location updating total degree being greater than described first preset value is defined as the community of location updating exception.。
Wherein, described Cluster Analysis module comprises:
First cluster analysis submodule, the historical position of community in described measurement period for the location updating number of times and each location updating exception that obtain the community of each the location updating exception in described measurement period upgrades average;
Second cluster analysis submodule, for location updating number of times and the historical position renewal average of the community according to described location updating exception, obtains the community that location updating intensity of anomaly is the highest;
3rd cluster analysis submodule, for the location updating intensity of anomaly according to the highest community of described location updating intensity of anomaly, carries out clustering processing to the community of position update abnormal, obtains multiple cell cluster.
Wherein, described position locating module comprises:
Primary importance locator module, for obtaining latitude and longitude coordinates position and the location updating intensity of anomaly of the multiple communities in same cell cluster;
Second place locator module, for calculating the latitude and longitude coordinates position of the pseudo-base station of this cell cluster according to the latitude and longitude coordinates position of multiple community and location updating intensity of anomaly.
Technique scheme of the present invention at least has following beneficial effect:
In the localization method of the pseudo-base station of the embodiment of the present invention, by analyzing the signaling call bill data of multiple community, obtain the community of location updating exception, and cluster sub-clustering is carried out on the community of position update abnormal identify the community affected by same pseudo-base station, and quick position is carried out to pseudo-base station; On the one hand realize the quick position to pseudo-base station from the time, another aspect, from spatially improving positioning precision and accuracy, reduces the hunting zone of the work of arresting, thus greatly improves pseudo-base station and arrest efficiency, saves a large amount of manpower financial capacities.
Accompanying drawing explanation
Fig. 1 represents the basic step flow chart of the localization method of the pseudo-base station of the embodiment of the present invention;
The flow chart of steps of the localization method that Fig. 2 represents the pseudo-base station of the embodiment of the present invention community of allocation update abnormal really;
Fig. 3 represents the clustering processing flow chart of the localization method of the pseudo-base station of the embodiment of the present invention;
Fig. 4 represents the clustering processing concrete steps flow chart of the localization method of the pseudo-base station of the embodiment of the present invention;
Fig. 5 represents the composition schematic diagram of the positioner of the pseudo-base station of the embodiment of the present invention;
Fig. 6 represents the fundamental diagram of the Cluster Analysis module of the positioner of the pseudo-base station of the embodiment of the present invention.
Embodiment
For making the technical problem to be solved in the present invention, technical scheme and advantage clearly, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.
The present invention is directed in prior art and think to there is multiple pseudo-base station in affected multiple neighbor cell, add the uncertainty of pseudo-base station location, expand the scope of arresting, waste the problem of a large amount of manpower financial capacity, a kind of localization method and device of pseudo-base station are provided, by analyzing the signaling call bill data of multiple community, obtain the community of location updating exception, and cluster sub-clustering is carried out on the community of position update abnormal identify the community affected by same pseudo-base station, and quick position is carried out to pseudo-base station; On the one hand realize the quick position to pseudo-base station from the time, another aspect, from spatially improving positioning precision and accuracy, reduces the hunting zone of the work of arresting, thus greatly improves pseudo-base station and arrest efficiency, saves a large amount of manpower financial capacities.
As shown in Figure 1, the embodiment of the present invention provides a kind of localization method of pseudo-base station, comprising:
Step 1, periodically obtains the signaling call bill data of multiple community;
Step 2, according to the signaling call bill data of multiple community described in same measurement period, obtains the community of location updating exception;
Step 3, carries out clustering processing to the community of described location updating exception, obtains multiple cell cluster;
Step 4, according to position and the location updating abnormal conditions of the multiple communities in each cell cluster, determines the position of the pseudo-base station of each cell cluster.
In the above embodiment of the present invention, because community is different at the location updating number of times of different time periods, the signaling call bill data of the multiple communities therefore obtained in step 1 is the signaling call bill datas according to the measurement period Real-time Obtaining of specifying; Wherein, this measurement period was not limited to a fixed value, comprehensively can determine according to the varying environment of multiple community, as 1 minute, 2 minutes etc.In step 3, association analysis is carried out to the community of all location updating exceptions in this preset time period, form sub-clustering by cluster, determine the cell cluster affected by same pseudo-base station; And in conjunction with the location updating abnormal conditions (the location updating intensity of anomaly of geographical position, each community and each community) of same cell cluster cluster Zhong Ge community, analyze the position of the pseudo-base station of this cell cluster.
Because current pseudo-base station mobility is strong, seldom stop for a long time in same place, must fast reaction, otherwise it is low to arrest success rate; Quick position is achieved from the time in the method for the embodiment of the present invention, making the personnel that arrest can fast reaction, again from spatially improve positioning precision and accuracy, reducing the hunting zone of the work of arresting, thus substantially increase pseudo-base station arrest efficiency, save a large amount of manpower financial capacities.
In the above embodiment of the present invention, also comprise after step 4:
Step 5, obtains the longitude and latitude position of pseudo-base station, and presents the longitude and latitude position of described pseudo-base station.
In specific embodiments of the invention, after determining the position of pseudo-base station, perform step 5, present the longitude and latitude position of pseudo-base station; Concrete, the longitude and latitude position of pseudo-base station is mapped on map, presents to the pseudo-base station location of user intuitively, realize the real-time direct visual tracing to pseudo-base station.
In the above embodiment of the present invention, step 1 comprises:
Step 11, presets the signaling call bill data of the multiple communities in measurement period from monitoring signaling platform Real-time Obtaining.
In specific embodiments of the invention, the signaling call bill data of community is from monitoring signaling platform Real-time Obtaining; Wherein, deliver various signal in a network, wherein a part is the (voice of such as making a phone call that we need, packet of online etc.), and in addition a part be we unwanted (can only say it is not direct requirement) it be used for special control circuit, the signal of this type we be just referred to as signaling; Monitoring signaling platform, namely for the signaling in real-time Sampling network, generates signaling call bill data.
In the above embodiment of the present invention, as shown in Figure 2, step 2 comprises:
Step 21, according to the signaling call bill data of described multiple community, obtains the location updating total degree of each community in same measurement period;
Step 22, compares the location updating total degree of each community in described measurement period with the first preset value successively, and community location updating total degree being greater than described first preset value is defined as the community of location updating exception.
In specific embodiments of the invention, in step 21, analyze the signaling call bill data obtained from existing network monitoring signaling platform, with the location updating total degree of default measurement period Nei Gai community for object counts, each community; The first preset value in step 22 particularly refers to the N of the mean value of the location updating total degree of each community each time period or this mean value doubly, and wherein, N can be integer, decimal etc., is not limited to an occurrence, as 3 times, 1.5 times etc.; Concrete, the location updating number of times mean value of Ke Jianggai community is saved in a database, facilitates user to call.
" pseudo-base station " i.e. false base station, equipment is a kind of high-tech instrument, generally be made up of main frame and notebook computer, the Mobile phone card information of getting centered by it, within the scope of certain radius can be searched by relevant devices such as sending short messages in groups device, note senders, by the base station of the operator that disguises oneself as, falsely use arbitrarily other people phone number and send the short messages such as swindle, ad promotions to user mobile phone by force; Therefore, the community generally affected by pseudo-base station, location updating number of times can increase, and therefore, if the location updating total degree of community in described preset time period is less than described first preset value, then judges that this community is as normal cell; The location updating total degree of Er Dang mono-community in described preset time period is greater than described first preset value, determines that this community is the community of location updating exception; Preferably, the location updating total degree when community in described preset time period is greater than this subdistrict position when upgrading 2 times of average time or 3 times, judges that this community is the community of location updating exception.
In the above embodiment of the present invention, as shown in Figure 3, step 3 comprises:
Step 31, the historical position of community in described measurement period of the location updating number of times and each location updating exception that obtain the community of each the location updating exception in described measurement period upgrades average;
Step 32, according to location updating number of times and the historical position renewal average of the community of described location updating exception, obtains the community that location updating intensity of anomaly is the highest;
Step 33, according to the location updating intensity of anomaly of the highest community of described location updating intensity of anomaly, carries out clustering processing to the community of position update abnormal, obtains multiple cell cluster.
In specific embodiments of the invention, if the community of all location updating exceptions in described measurement period is abnormal cell collection Cell-t; Location updating number of times and this community historical position in described preset time period that namely step 31 obtains each community in the collection Cell-t of this abnormal cell upgrades average.Step 31 is namely according to the above information of this abnormal cell collection Cell-t, the community Ai that chosen position update abnormal degree is the highest from the collection Cell-t of abnormal cell, and perform step 33 according to its location updating intensity of anomaly, clustering processing is carried out to abnormal cell collection Cell-t, obtains multiple cell cluster.
Concrete, in the above embodiment of the present invention, as shown in Figure 4, step 33 comprises:
Step 331, if the location updating intensity of anomaly of the highest community of described location updating intensity of anomaly is less than the second preset value, process ends;
Step 332, if the location updating intensity of anomaly of the highest community of described location updating intensity of anomaly is greater than or equal to the second preset value, obtains the multilayer adjacent area of the highest community of described location updating intensity of anomaly;
Step 333, obtains the common factor of the community of all location updating exceptions in the multilayer adjacent area of the highest community of described location updating intensity of anomaly and described measurement period, and described common factor and the highest community of described location updating intensity of anomaly form a cell cluster;
Step 334, deletes the community in described cell cluster, forms new location updating abnormal cell collection from the community of all location updating exceptions in described measurement period;
Step 335, if described new location updating abnormal cell concentrates community number to be 0, process ends; Otherwise continue to obtain the highest community of location updating intensity of anomaly, continue to determine other cell clusters.
In the above embodiment of the present invention, the second preset value in step 331 can artificially set, and also according to the location updating mean set of its multiple community, can be not limited to a fixed value.Wherein, in step 335, if described new location updating abnormal cell concentrates community number not to be 0, then obtain the highest community of location updating intensity of anomaly, and return step 331, continue to determine other cell clusters, until described new location updating abnormal cell concentrates community number to be 0, process ends.
In the above embodiment of the present invention, in step 332, the step obtaining the multilayer adjacent area of the highest community of described location updating intensity of anomaly comprises:
Step 3321, obtains the multilayer adjacent area of this community by the neighborhood region correlation chart of the highest community of described location updating intensity of anomaly; Or
Step 3322, obtains the multilayer adjacent area of this community by the geographical location information of the highest community of described location updating intensity of anomaly.
In specific embodiments of the invention, hold and state example, the 1st layer of adjacent area is all and adjacent area that is community Ai direct neighbor; 2nd layer of adjacent area is the adjacent area of Ai adjacent area; 3rd layer of adjacent area is the adjacent area of the adjacent area of Ai adjacent area, by parity of reasoning the 4th layer, the 5th layer adjacent area etc.; N is by user's sets itself, and user can consider according to this area MPS process distance, pseudo-base station average speed (can with reference to the city speed of a motor vehicle), timing statistics cycle etc., and suggestion user selects N<=3 usually.
In the above embodiment of the present invention, step 32 comprises:
Step 321, utilizes location updating intensity of anomaly computing formula, calculates the location updating intensity of anomaly of the community of each location updating exception;
Step 322, compares the location updating intensity of anomaly of the community of each location updating exception successively, obtains the community that location updating intensity of anomaly is the highest.
Wherein, described location updating intensity of anomaly computing formula is:
The historical position of location updating number of times/this community in measurement period of location updating intensity of anomaly=community upgrades average.
In specific embodiments of the invention, location updating intensity of anomaly computing formula is only preferred embodiment of the present invention, is not used in and limits the scope of the invention, and this formula also can sets itself, is not limited to a fixed form.
In the above embodiment of the present invention, as shown in Figure 5, step 4 comprises:
Step 41, obtains latitude and longitude coordinates position and the location updating intensity of anomaly of the multiple communities in same cell cluster;
Step 42, calculates the latitude and longitude coordinates position of the pseudo-base station of this cell cluster according to the latitude and longitude coordinates position of multiple community and location updating intensity of anomaly.
In specific embodiments of the invention, suppose that a cell cluster small area longitude is respectively x1, x2 ..., xn, latitude is respectively y1, y2 ..., yn; Location updating intensity of anomaly is w1, w2 ..., wn.
Then pseudo-base station longitude station is:
x0＝(x1*w1)+x2*w2+...+xn*wn))/(w1+w2+...+wn)
Then pseudo-base station latitude position is:
y0＝(y1*w1+y2*w2+...+yn*wn)/(w1+w2+...+wn)
After getting the latitude and longitude coordinates position of pseudo-base station, present the pseudo-latitude and longitude of base station position (x0 that module can will calculate in real time, y0) be mapped on map, be convenient to the place that user intuitively checks pseudo-base station, at analysis signaling ticket, the localization method of pseudo-base station of the present invention can find that location updating abnormal cell simultaneously, automatic synchronization locates pseudo-base station, thus the quick position realized pseudo-base station and tracking.
Current pseudo-base station mobility is strong, seldom stops for a long time in same place, must fast reaction, otherwise it is lower to arrest success rate.The embodiment of the present invention by realizing quick position from the time, makes to arrest personnel's fast reaction on the one hand; On the other hand from spatially improving positioning precision and accuracy, reduce the hunting zone of the work of arresting, thus greatly improve pseudo-base station and arrest efficiency, save a large amount of manpower financial capacities.
In order to better realize above-mentioned purpose, as shown in Figure 5, the embodiment of the present invention also provides a kind of positioner of pseudo-base station, comprising:
Signaling acquisition module 10, for periodically obtaining the signaling call bill data of multiple community;
Signalling analysis module 20, for the signaling call bill data according to multiple community described in same measurement period, obtains the community of location updating exception;
Cluster Analysis module 30, for carrying out clustering processing to the community of described location updating exception, obtains multiple cell cluster;
Position locating module 40, for according to the position of the multiple communities in each cell cluster and location updating abnormal conditions, determines the position of the pseudo-base station of each cell cluster.
Wherein, described positioner also comprises:
Presenting module, for obtaining the longitude and latitude position of pseudo-base station, and presenting the longitude and latitude position of described pseudo-base station.
Wherein, described signaling acquisition module 10 comprises:
Signaling obtains submodule, for presetting the signaling call bill data of the multiple communities in measurement period from monitoring signaling platform Real-time Obtaining.
Wherein, described signalling analysis module 20 comprises:
First signalling analysis submodule, for the signaling call bill data according to described multiple community, obtains the location updating total degree of each community in described same measurement period;
Second signalling analysis submodule, for being compared with the first preset value by the location updating total degree of each community in described measurement period successively, community location updating total degree being greater than described first preset value is defined as the community of location updating exception.
Wherein, described Cluster Analysis module 30 comprises:
First cluster analysis submodule, the historical position of community in described measurement period for the location updating number of times and each location updating exception that obtain the community of each the location updating exception in described measurement period upgrades average;
Second cluster analysis submodule, for location updating number of times and the historical position renewal average of the community according to described location updating exception, obtains the community that location updating intensity of anomaly is the highest;
3rd cluster analysis submodule, for the location updating intensity of anomaly according to the highest community of described location updating intensity of anomaly, carries out clustering processing to the community of position update abnormal, obtains multiple cell cluster.
Wherein, described 3rd cluster analysis submodule comprises:
First submodule, if be less than the second preset value, process ends for the location updating intensity of anomaly of the highest community of described location updating intensity of anomaly;
Second submodule, if be greater than or equal to the second preset value for the location updating intensity of anomaly of the highest community of described location updating intensity of anomaly, obtains the multilayer adjacent area of the highest community of described location updating intensity of anomaly;
3rd submodule, for obtaining the common factor of the community of all location updating exceptions in the multilayer adjacent area of the highest community of described location updating intensity of anomaly and described measurement period, described common factor and the highest community of described location updating intensity of anomaly form a cell cluster;
4th submodule, for deleting the community in described cell cluster in the community from all location updating exceptions in described measurement period, forms new location updating abnormal cell collection;
5th submodule, if concentrate community number to be 0 for described new location updating abnormal cell, process ends; Otherwise continue to obtain the highest community of location updating intensity of anomaly, continue to determine other cell clusters.
Wherein, the step obtaining the multilayer adjacent area of the highest community of described location updating intensity of anomaly comprises:
The multilayer adjacent area of this community is obtained by the neighborhood region correlation chart of the highest community of described location updating intensity of anomaly; Or
The multilayer adjacent area of this community is obtained by the geographical location information of the highest community of described location updating intensity of anomaly.
Wherein, described second cluster analysis submodule comprises:
6th submodule, for utilizing location updating intensity of anomaly computing formula, calculates the location updating intensity of anomaly of the community of each location updating exception;
7th submodule, for comparing the location updating intensity of anomaly of the community of each location updating exception successively, obtains the community that location updating intensity of anomaly is the highest.
Wherein, described location updating intensity of anomaly computing formula is:
The historical position of location updating number of times/this community in measurement period of location updating intensity of anomaly=community upgrades average.
Wherein, described position locating module 40 comprises:
Primary importance locator module, for obtaining latitude and longitude coordinates position and the location updating intensity of anomaly of the multiple communities in same cell cluster;
Second place locator module, for calculating the latitude and longitude coordinates position of the pseudo-base station of this cell cluster according to the latitude and longitude coordinates position of multiple community and location updating intensity of anomaly.
In specific embodiments of the invention, the effect of composition graphs 6 pairs of Cluster Analysis module 30 is specifically addressed:
Step 500, obtains all location updating abnormal cell collection Cell-t in current slot from signalling analysis module 20, the information such as location updating number of times, this community present period history renewal average of each abnormal cell in cell set.
Step 501, selects the community Ai that update abnormal degree is the highest from cell set Cell-t, and the computing formula of update abnormal degree can adopt:
Update abnormal degree=subdistrict position update times/this community present period history upgrades average
Or sets itself update abnormal degree computing formula.
Step 502, judges the update abnormal degree of community Ai, if the intensity of anomaly of community Ai is less than a certain set point Pmin, then terminates cluster, if be more than or equal to a certain set point, continues step 503.
Step 503, centered by the Ai of community, obtain the N layer adjacent area Ai-adj of community Ai, N is by user's sets itself, user can consider according to this area MPS process distance, pseudo-base station average speed (can with reference to the city speed of a motor vehicle), timing statistics cycle etc., and suggestion user selects N<=3 usually.
The acquisition of adjacent area obtains by the neighborhood region correlation chart of community or geographical location information, and the 1st layer of adjacent area is all and adjacent area that is community Ai direct neighbor; 2nd layer of adjacent area is the adjacent area of Ai adjacent area; 3rd layer of adjacent area is the adjacent area of the adjacent area of Ai adjacent area, by parity of reasoning the 4th layer, the 5th layer adjacent area etc.
Step 504, carries out crossing matching treatment by the adjacent area collection Ai-adj of Ai with cell set, obtains it and occurs simultaneously, add community Ai, form community cluster i;
Step 505, then concentrates from location updating abnormal cell and deletes this community cluster i, form new location updating abnormal cell collection Cell-t;
Step 506, judges whether the number of cells in new location updating abnormal cell collection Cell-t is 0, if be 0, stops cluster process, if be not 0, then return step 501, repeat follow-up flow process, until terminate cluster process.
After Cluster Analysis module 30, in current slot, obtain community clustering cluster collection: community clustering cluster 1, community clustering cluster 2, community clustering cluster 3 etc.
At analysis signaling ticket, the localization method of the pseudo-base station in the embodiment of the present invention can find that location updating abnormal cell is simultaneously, automatic synchronization locates pseudo-base station, thus the quick position realized pseudo-base station and tracking; And the relevance of minizone is considered from multiple factor, cluster sub-clustering is carried out to community, identifies the community affected by same pseudo-base station; And consider clustering cluster and bunch in each subdistrict position update abnormal degree, determine pseudo-base station location, greatly improve positioning precision and the accuracy of pseudo-base station.
Current pseudo-base station mobility is strong, seldom stops for a long time in same place, must fast reaction, otherwise it is lower to arrest success rate.Pseudo-base station positioning method of the present invention, on the one hand by realizing quick position from the time, makes to arrest personnel's fast reaction; On the other hand from spatially improving positioning precision and accuracy, reduce the hunting zone of the work of arresting, thus greatly improve pseudo-base station and arrest efficiency, save a large amount of manpower financial capacities.
It should be noted that, the device that the embodiment of the present invention provides is the device of application said method, then all embodiments of said method are all applicable to this device, and all can reach same or analogous beneficial effect.
The above is the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from principle of the present invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (16)
1. a localization method for pseudo-base station, is characterized in that, comprising:
Periodically obtain the signaling call bill data of multiple community;
According to the signaling call bill data of multiple community described in same measurement period, obtain the community of location updating exception;
Clustering processing is carried out to the community of described location updating exception, obtains multiple cell cluster;
According to position and the location updating abnormal conditions of the multiple communities in each cell cluster, determine the position of the pseudo-base station of each cell cluster.
2. the localization method of pseudo-base station according to claim 1, is characterized in that, also comprises after determining the position of the pseudo-base station of each cell cluster:
Obtain the longitude and latitude position of pseudo-base station, and present the longitude and latitude position of described pseudo-base station.
3. the localization method of pseudo-base station according to claim 1, is characterized in that, the step periodically obtaining the signaling call bill data of multiple community comprises:
The signaling call bill data of the multiple communities in measurement period is preset from monitoring signaling platform Real-time Obtaining.
4. the localization method of pseudo-base station according to claim 1, is characterized in that, according to the signaling call bill data of multiple community described in same measurement period, the step obtaining the community of location updating exception comprises:
According to the signaling call bill data of described multiple community, obtain the location updating total degree of each community in same measurement period;
Compared with the first preset value by the location updating total degree of each community in described measurement period successively, community location updating total degree being greater than described first preset value is defined as the community of location updating exception.
5. the localization method of pseudo-base station according to claim 1, is characterized in that, carry out clustering processing to the community of described location updating exception, the step obtaining multiple cell cluster comprises:
The historical position of community in described measurement period of the location updating number of times and each location updating exception that obtain the community of each the location updating exception in described measurement period upgrades average;
According to location updating number of times and the historical position renewal average of the community of described location updating exception, obtain the community that location updating intensity of anomaly is the highest;
According to the location updating intensity of anomaly of the highest community of described location updating intensity of anomaly, clustering processing is carried out to the community of position update abnormal, obtains multiple cell cluster.
6. the localization method of pseudo-base station according to claim 5, it is characterized in that, according to the location updating intensity of anomaly of the highest community of described location updating intensity of anomaly, carry out clustering processing to the community of position update abnormal, the step obtaining multiple cell cluster comprises:
If the location updating intensity of anomaly of the community that described location updating intensity of anomaly is the highest is less than the second preset value, process ends;
If the location updating intensity of anomaly of the community that described location updating intensity of anomaly is the highest is greater than or equal to the second preset value, obtain the multilayer adjacent area of the highest community of described location updating intensity of anomaly;
Obtain the common factor of the community of all location updating exceptions in the multilayer adjacent area of the highest community of described location updating intensity of anomaly and described measurement period, described common factor and the highest community of described location updating intensity of anomaly form a cell cluster;
From the community of all location updating exceptions in described measurement period, delete the community in described cell cluster, form new location updating abnormal cell collection;
If described new location updating abnormal cell concentrates community number to be 0, process ends; Otherwise continue to obtain the highest community of location updating intensity of anomaly, continue to determine other cell clusters.
7. the localization method of pseudo-base station according to claim 6, is characterized in that, the step obtaining the multilayer adjacent area of the highest community of described location updating intensity of anomaly comprises:
The multilayer adjacent area of this community is obtained by the neighborhood region correlation chart of the highest community of described location updating intensity of anomaly; Or
The multilayer adjacent area of this community is obtained by the geographical location information of the highest community of described location updating intensity of anomaly.
8. the localization method of pseudo-base station according to claim 5, is characterized in that, according to location updating number of times and the history renewal average of the community of described location updating exception, the step obtaining the highest community of location updating intensity of anomaly comprises:
Utilize location updating intensity of anomaly computing formula, calculate the location updating intensity of anomaly of the community of each location updating exception;
Compare the location updating intensity of anomaly of the community of each location updating exception successively, obtain the community that location updating intensity of anomaly is the highest.
9. the localization method of pseudo-base station according to claim 8, is characterized in that, described location updating intensity of anomaly computing formula is:
The historical position of location updating number of times/this community in measurement period of location updating intensity of anomaly=community upgrades average.
10. the localization method of pseudo-base station according to claim 1, is characterized in that, according to position and the location updating abnormal conditions of the multiple communities in each cell cluster, determines that the step of the position of the pseudo-base station of each cell cluster comprises:
Obtain latitude and longitude coordinates position and the location updating intensity of anomaly of the multiple communities in same cell cluster;
The latitude and longitude coordinates position of the pseudo-base station of this cell cluster is calculated according to the latitude and longitude coordinates position of multiple community and location updating intensity of anomaly.
The positioner of 11. 1 kinds of pseudo-base stations, is characterized in that, comprising:
Signaling acquisition module, for periodically obtaining the signaling call bill data of multiple community;
Signalling analysis module, for the signaling call bill data according to multiple community described in same measurement period, obtains the community of location updating exception;
Cluster Analysis module, for carrying out clustering processing to the community of described location updating exception, obtains multiple cell cluster;
Position locating module, for according to the position of the multiple communities in each cell cluster and location updating abnormal conditions, determines the position of the pseudo-base station of each cell cluster.
The positioner of 12. pseudo-base stations according to claim 11, it is characterized in that, described positioner also comprises:
Presenting module, for obtaining the longitude and latitude position of pseudo-base station, and presenting the longitude and latitude position of described pseudo-base station.
The positioner of 13. pseudo-base stations according to claim 11, is characterized in that, described signaling acquisition module comprises:
Signaling obtains submodule, for presetting the signaling call bill data of the multiple communities in measurement period from monitoring signaling platform Real-time Obtaining.
The positioner of 14. pseudo-base stations according to claim 11, is characterized in that, described signalling analysis module comprises:
First signalling analysis submodule, for the signaling call bill data according to described multiple community, obtains the location updating total degree of each community at same measurement period;
Second signalling analysis submodule, for being compared with the first preset value by the location updating total degree of each community in described measurement period successively, community location updating total degree being greater than described first preset value is defined as the community of location updating exception.
The positioner of 15. pseudo-base stations according to claim 11, it is characterized in that, described Cluster Analysis module comprises:
First cluster analysis submodule, the historical position of community in described measurement period for the location updating number of times and each location updating exception that obtain the community of each the location updating exception in described measurement period upgrades average;
Second cluster analysis submodule, for location updating number of times and the historical position renewal average of the community according to described location updating exception, obtains the community that location updating intensity of anomaly is the highest;
3rd cluster analysis submodule, for the location updating intensity of anomaly according to the highest community of described location updating intensity of anomaly, carries out clustering processing to the community of position update abnormal, obtains multiple cell cluster.
The positioner of 16. pseudo-base stations according to claim 11, is characterized in that, described position locating module comprises:
Primary importance locator module, for obtaining latitude and longitude coordinates position and the location updating intensity of anomaly of the multiple communities in same cell cluster;
Second place locator module, for calculating the latitude and longitude coordinates position of the pseudo-base station of this cell cluster according to the latitude and longitude coordinates position of multiple community and location updating intensity of anomaly.
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