CN103874194A - Auxiliary triangle positioning device and method for the same based on user behavior simulation - Google Patents
Auxiliary triangle positioning device and method for the same based on user behavior simulation Download PDFInfo
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- CN103874194A CN103874194A CN201210541526.1A CN201210541526A CN103874194A CN 103874194 A CN103874194 A CN 103874194A CN 201210541526 A CN201210541526 A CN 201210541526A CN 103874194 A CN103874194 A CN 103874194A
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Abstract
This invention discloses an auxiliary triangle positioning device and a method for the same based on user behavior simulation. The method comprises steps of obtaining the last call detail record (CDR) of a mobile terminal user when positioning is performed, obtaining the rest of the CDRs of the last CDR in a same scene, analyzing the rest CDRs to obtain a plurality of strong pilot frequency signals, and positioning the mobile terminal user according to the strong pilot frequency signal in the last CDR and the plurality of strong pilot frequency signals obtained through analysis. The embodiment of the invention solves the problem in the prior art that the positioning on the mobile terminal cannot be performed if signals of three or more than three base stations cannot be obtained.
Description
Technical field
The present invention relates to the communication technology, relate in particular to a kind of auxiliary triangle localization method and device based on customer behavior modeling.
Background technology
Geo-location service (Location based service, LBS), claim again positioning service, refer to the mobile communications network of mobile terminal and operator, for example code division multiple access (Code Division Multiple Access, CDMA) net, global system for mobile communications (Global System for Mobile Communications, GSM) net etc., cooperatively interact, judge the position at mobile terminal place by transmitting the base station of mobile terminal signal, determine the geographical location information of mobile phone users, that is: latitude and longitude coordinates, thereby provide user the needed information on services relevant to position.The process of positioning service only needs several seconds, and the flow taking only has tens bytes.Because consumer has the feature such as region and convenience to the demand of service for life, geo-location service is more and more welcome.
Mobile terminal location system is the technology of constantly growing up along with mobile communications network.Fig. 1 is the basic principle schematic of prior art intermediate cam localization method.As shown in Figure 1, existing mobile terminal location is that the triangulation (AFLT) of utilizing GSM mobile radio communication realizes place information inquiry.Each base station (Base Station, BS) there is the mark (ID) of unique identification oneself or be called numbering, our mobile terminal can receive the signal of multiple base stations under open state, although it is only set up and communicate by letter with a base station of signal the best wherein, just need to be with 3 or more base stations when location.We are imagined as the coverage of mobile terminal base station is the circle in the center of circle one by one taking base station, and mobile terminal is roaming in these circles just.Need to locate time, mobile terminal is just to the multiple base stations of periphery, for example BS1, BS2, these three base stations of BS3, send metrical information, and add up these metrical informations arrival needed time of base station, and extrapolate the air line distance of distance of mobile terminal base station, be expressed as R1, R2, R3 apart from the air line distance of BS1, BS2, BS3, by mathematical computations, mobile terminal locations coordinate just can be determined by the intersection point of these three base station circles again.Certainly, the accuracy of mobile terminal location and base station density, site environment are relevant, and in urban district, accuracy rating is roughly 200 meters of left and right, and suburb accuracy rating is roughly 1000 meters to 2000 meters left and right, and along with the development of technology, precision can also further improve.In theory, as long as calculate the time difference of three base stations of signal arrival of mobile terminal transmitting, just can judge the position at mobile terminal place, for example latitude and longitude coordinates data.Therefore, as long as within the effective range of user's mobile terminal in mobile communications network, just can carry out at any time location, position, and not be subject to the impact of weather, high building, position etc.Specifically in the time positioning operation, mobile terminal is monitored the pilot frequency information of at least three base stations simultaneously, due to corresponding 244 meters of every chip (CHIP), utilize chip time delay in pilot frequency information to determine the distance of this mobile terminal near base station, the also i.e. position of this mobile phone users, the position that finally calculates mobile terminal with three angle positioning methods.
Realizing in process of the present invention, inventor finds that existing three angle positioning methods at least exist following problem:
Primary prerequisite mobile terminal being positioned based on existing three angle positioning methods is the signal that needs more than three or three base station of acquisition for mobile terminal, but, in the more sparse place of base station distribution, for example suburb, rural area or mountain area, mobile terminal may can only obtain the signal of two base stations even still less, in this case, just cannot position mobile terminal based on existing three angle positioning methods.
Summary of the invention
An embodiment of the present invention technical problem to be solved is: provide a kind of auxiliary triangle localization method and device based on customer behavior modeling, to solve the technical problem that cannot position mobile terminal when existing three angle positioning methods cannot obtain the signal of the above base stations of three or three.
A kind of auxiliary triangle localization method based on customer behavior modeling that the embodiment of the present invention provides, comprising:
The last item call detail record CDR of mobile phone users while obtaining location;
Obtain the last item CDR all the other CDR in same scene;
Described all the other CDR are analyzed and obtain multiple strong waveguide frequency signals;
According to the strong waveguide frequency signal in the last item CDR and multiple strong waveguide frequency signals that analysis obtains, described mobile phone users is positioned.
In a specific embodiment of said method, described in obtain the last item CDR and comprise at all the other CDR of same scene:
From all CDR, obtain CDR identical with user ID in the last item CDR and base station section difference, except described the last item CDR as a CDR;
From a described CDR, while call in select to converse moment and the last item CDR, be engraved in the CDR presetting in time difference range as all the other CDR.
In a specific embodiment of said method, described all the other CDR are analyzed and obtain multiple strong waveguide frequency signals and comprise:
From described all the other CDR, select to have CDR that the chip time delay of pilot signal in the chip time delay of pilot signal in Active Set and the last item CDR is more or less the same in a chip as the 2nd CDR;
From described the 2nd CDR, select to have CDR that the pilot frequency intensity of pilot signal in the pilot frequency intensity of pilot signal in Active Set and the last item CDR is more or less the same in 7dB as the 3rd CDR;
Respectively the pilot signal in the Pilot Strength Measurement Message PSMM message that in described the 3rd CDR, mobile terminal the last item reports is carried out to statistical analysis, obtain affiliated pilot set, pilot frequency intensity, the pilot tone time delay of each pilot signal in the PSMM message that described the last item reports, select pilot signal that pilot frequency intensity is greater than preset strength as strong waveguide frequency signal.
In a specific embodiment of said method, call drop CDR when described the last item CDR is specially described mobile terminal generation call drop;
Described Active Set is specially: Active Set when call resources discharges.
In a specific embodiment of said method, according to the strong waveguide frequency signal in the last item CDR and multiple strong waveguide frequency signals that analysis obtains, described mobile phone users is positioned and is comprised:
Whether the strong waveguide frequency signal that discriminance analysis obtains reaches more than two;
Whether the strong waveguide frequency signal obtaining in response to analysis reaches more than two, and the plural strong waveguide frequency signal obtaining according to the strong waveguide frequency signal in the last item CDR and analysis adopts three angle positioning methods to position mobile phone users.
In a specific embodiment of said method, also comprise:
The strong waveguide frequency signal obtaining in response to analysis is less than two, in multiple strong waveguide frequency signals that the strong waveguide frequency signal in statistical computation the last item CDR and analysis obtain, and the average pilot time delay of each pilot signal;
According to the average pilot time delay of each pilot signal and the longitude and latitude that in the engineering parameter table setting in advance, identical PN code is corresponding, described mobile phone users is simulated to location.
In a specific embodiment of said method, time delay while calculating the average pilot of each pilot signal, removes the pilot tone time delay that value is abnormal.
In a specific embodiment of said method, the pilot tone time delay that described value is abnormal is specially value higher than the first preset value and/or lower than the pilot tone time delay of the second preset value.
A kind of auxiliary triangle positioner based on customer behavior modeling that the embodiment of the present invention provides, comprising:
The first acquiring unit, the last item call detail record CDR of mobile phone users while location for obtaining from base station;
Second acquisition unit, for obtaining described the last item CDR all the other CDR in same scene;
Analytic unit, for analyzing and obtain multiple strong waveguide frequency signals described all the other CDR;
Positioning unit, for positioning described mobile phone users according to the strong waveguide frequency signal of the last item CDR and multiple strong waveguide frequency signals that analysis obtains.
In a specific embodiment of said apparatus, described second acquisition unit specifically, from all CDR, obtains CDR identical with user ID in the last item CDR and base station section difference, except described the last item CDR as a CDR; And from a described CDR, while call in select to converse moment and the last item CDR, be engraved in the CDR presetting in time difference range as all the other CDR.
In a specific embodiment of said apparatus, described analytic unit specifically from described all the other CDR, selects to have CDR that the chip time delay of pilot signal in the chip time delay of pilot signal in Active Set and the last item CDR is more or less the same in a chip as the 2nd CDR; From described the 2nd CDR, select to have CDR that the pilot frequency intensity of pilot signal in the pilot frequency intensity of pilot signal in Active Set and the last item CDR is more or less the same in 7dB as the 3rd CDR; And respectively the pilot signal in the Pilot Strength Measurement Message PSMM message that in described the 3rd CDR, mobile terminal the last item reports is carried out to statistical analysis, obtain affiliated pilot set, pilot frequency intensity, the pilot tone time delay of each pilot signal in the PSMM message that described the last item reports, select pilot signal that pilot frequency intensity is greater than preset strength as strong waveguide frequency signal.
In a specific embodiment of said apparatus, call drop CDR when described the last item CDR is specially described mobile terminal generation call drop;
Described Active Set is specially: Active Set when call resources discharges.
In a specific embodiment of said apparatus, when multiple strong waveguide frequency signals that described positioning unit obtains according to the strong waveguide frequency signal in the last item CDR and analysis position described mobile phone users, whether the strong waveguide frequency signal that concrete discriminance analysis obtains reaches more than two; Whether the strong waveguide frequency signal obtaining in response to analysis reaches more than two, and the plural strong waveguide frequency signal obtaining according to the strong waveguide frequency signal in the last item CDR and analysis adopts triangle positioner to position mobile phone users.
In a specific embodiment of said apparatus, when multiple strong waveguide frequency signals that described positioning unit obtains according to the strong waveguide frequency signal in the last item CDR and analysis position described mobile phone users, also be less than two for the strong waveguide frequency signal obtaining in response to analysis, in multiple strong waveguide frequency signals that strong waveguide frequency signal in statistical computation the last item CDR and analysis obtain, the average pilot time delay of each pilot signal; And according to the average pilot time delay of each pilot signal and the longitude and latitude that in the engineering parameter table setting in advance, identical PN code is corresponding, described mobile phone users is simulated to location.
In a specific embodiment of said apparatus, time delay when described positioning unit calculates the average pilot of each pilot signal, removes the pilot tone time delay that value is abnormal.
In a specific embodiment of said apparatus, the pilot tone time delay that described value is abnormal is specially value higher than the first preset value and/or lower than the pilot tone time delay of the second preset value.
Auxiliary triangle localization method and the device based on the customer behavior modeling that provide based on the above embodiment of the present invention, can obtain location time, the last item CDR of mobile phone users is at all the other CDR of same scene, by these all the other CDR are analyzed and obtain multiple strong waveguide frequency signals, and the multiple strong waveguide frequency signals that obtain according to the strong waveguide frequency signal in the last item CDR and analysis, realize the location to this mobile phone users.Thus, the embodiment of the present invention is assisted mobile phone users is positioned by analysis CDR data, compared with prior art, solve when existing three angle positioning methods cannot obtain the signal of the above base stations of three or three and cannot complete the technical problem of location, be particularly useful for the more sparse place of suburb or base station distribution, made up thus location blind spot.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Brief description of the drawings
The accompanying drawing that forms a part for specification has been described embodiments of the invention, and is used from explanation principle of the present invention together with describing one.
With reference to accompanying drawing, according to detailed description below, can more be expressly understood the present invention, wherein:
Fig. 1 is the basic principle schematic of prior art intermediate cam localization method.
Fig. 2 is the flow chart that the present invention is based on an embodiment of auxiliary triangle localization method of customer behavior modeling.
Fig. 3 is the flow chart that the present invention is based on another embodiment of auxiliary triangle localization method of customer behavior modeling.
Fig. 4 is the structural representation that the present invention is based on an embodiment of auxiliary triangle positioner of customer behavior modeling.
Embodiment
Describe various exemplary embodiment of the present invention in detail now with reference to accompanying drawing.It should be noted that: unless illustrate in addition, the parts of setting forth in these embodiments and positioned opposite, numeral expression formula and the numerical value of step do not limit the scope of the invention.
, it should be understood that for convenience of description, the size of the various piece shown in accompanying drawing is not to draw according to actual proportionate relationship meanwhile.
Illustrative to the description only actually of at least one exemplary embodiment below, never as any restriction to the present invention and application or use.
May not discuss in detail for the known technology of person of ordinary skill in the relevant, method and apparatus, but in suitable situation, described technology, method and apparatus should be regarded as a part for specification.
In all examples with discussing shown here, it is exemplary that any occurrence should be construed as merely, instead of as restriction.Therefore, other example of exemplary embodiment can have different values.
It should be noted that: in similar label and letter accompanying drawing below, represent similar terms, therefore, once be defined in an a certain Xiang Yi accompanying drawing, in accompanying drawing subsequently, do not need it to be further discussed.
Adopt method of the present invention, assist and position by analysis CDR data, while having solved thus the base station signal that cannot obtain in prior art more than three or three, cannot complete the technical problem of location, be particularly useful for the more sparse place of suburb or base station distribution, made up thus location blind spot.In addition, adopt method of the present invention can determine the actual location that call drop occurs, thereby restore target call scene is determined call place.
At mobile network's call detail record (Call Detail Record, CDR) in, recording each mobile phone users call scenarios of 24 hours, in actual call, have a large amount of Pilot Strength Measurement Message (Pilot Strength Measurement Message, PSMM) message, once Article 1 PSMM message and the last item PSMM message of call in single CDR, are recorded, in PSMM message, content comprises pilot number (Pilot Number, PN) and the chip information of pilot signal etc. for distinguishing base station section.That is to say, if show that this mobile phone users is moving when larger variation occurs the positional information relating in former and later two PSMM message in a cdr logging, otherwise, while showing this mobile phone users call, relatively maintain static.From user behavior, most of call occurs in fixed location, therefore, in CDR, can find comparatively fixing call region for these calls, according to this feature, utilize CDR data can carry out customer behavior modeling, according to air time and base station signal participation situation, filter out the similar non-moving property CDR of a collection of height, utilize this highly similar non-moving property CDR restore target call scene.This,, by using associated CDR destination mobile terminal to be simulated to the process of coupling, is called customer behavior modeling in embodiments of the present invention.In practical application, in the relevant CDR of call drop, Active Set divides number cannot position mobile terminal not, the Active Set branch that can obtain other by the CDR of a large amount of and call drop CDR condition of similarity, provides more than 3 Active Set branch to position mobile terminal.
Because CDR packet has contained the information such as pilot phase, pilot frequency intensity in Active Set under access cell number, different signaling message state, therefore, the Important Thought of the embodiment of the present invention is carried out assist location by analyzing CDR data exactly.
Fig. 2 is the flow chart that the present invention is based on an embodiment of auxiliary triangle localization method of customer behavior modeling.As shown in Figure 2, the auxiliary triangle localization method of this embodiment based on customer behavior modeling comprises:
210, the last item CDR of mobile phone users while obtaining location.
220, obtain the last item CDR all the other CDR in same scene.
First customer behavior modeling is all the other CDR that will find out under same scene.Because the call under same scene must be similar on when and where, Active Set branch also should be highly similar, that is: main PN is identical, intensity is close, pilot tone time delay is close, and the embodiment of the present invention specifically can be mated screening to CDR by relatively converse moment and Active Set branch.
230, all the other CDR are analyzed and obtain multiple strong waveguide frequency signals.
240, according to the strong waveguide frequency signal in the last item CDR and multiple strong waveguide frequency signals that analysis obtains, mobile phone users is positioned.
The auxiliary triangle localization method based on customer behavior modeling that the above embodiment of the present invention provides, can obtain location time, the last item CDR of mobile phone users is at all the other CDR of same scene, by these all the other CDR are analyzed and obtain multiple strong waveguide frequency signals, and the multiple strong waveguide frequency signals that obtain according to the strong waveguide frequency signal in the last item CDR and analysis, realize the location to this mobile phone users.Thus, the embodiment of the present invention is assisted mobile phone users is positioned by analysis CDR data, compared with prior art, solve when existing three angle positioning methods cannot obtain the signal of the above base stations of three or three and cannot complete the technical problem of location, be particularly useful for the more sparse place of suburb or base station distribution, made up thus location blind spot.
Unrestricted according to the present invention is based on concrete example of auxiliary triangle localization method embodiment of customer behavior modeling, in operation 220, obtain the last item CDR and specifically can comprise at all the other CDR of same scene:
From all CDR, obtain CDR identical with mobile phone users mark (ID) in the last item CDR and base station section difference, except this last item CDR as a CDR.Mobile phone users of user ID unique identification wherein can be for example international mobile subscriber identity (International Mobile Subscriber Identity, IMSI);
From a CDR, while call in select to converse moment and the last item CDR, be engraved in the CDR presetting in time difference range as all the other CDR.
Wherein, owing to distinguishing base station section by PN in mobile communications network, therefore, the concrete identical CDR in base station section is the PN comprising or PN set is identical or PN gathers similar CDR.
Exemplarily, Tonghua moment wherein can be the end of conversation moment comparison in end of conversation moment and the last item CDR in a CDR, also can be the call comparison zero hour in the call zero hour and the last item CDR in a CDR, it can also be the call comparison zero hour in end of conversation moment and the last item CDR in a CDR, or the call in a CDR starts to restraint the end of conversation moment comparison in moment and the last item CDR, the difference of the two is in default time difference range.
Unrestricted according to the present invention is based on concrete example of auxiliary triangle localization method embodiment of customer behavior modeling, in operation 230, all the other CDR are analyzed and obtain multiple strong waveguide frequency signals and specifically can comprise:
From all the other CDR, select to have CDR that the chip time delay of pilot signal in the chip time delay of pilot signal in Active Set and the last item CDR is more or less the same in a chip as the 2nd CDR;
From the 2nd CDR, select to have CDR that the pilot frequency intensity of pilot signal in the pilot frequency intensity of pilot signal in Active Set and the last item CDR is more or less the same in 7dB as the 3rd CDR;
Respectively the pilot signal in the PSMM message that in the 3rd CDR, mobile terminal the last item reports is carried out to statistical analysis, obtain affiliated pilot set, pilot frequency intensity, the pilot tone time delay of each pilot signal in the PSMM message that the last item reports, select pilot signal that pilot frequency intensity is greater than preset strength as strong waveguide frequency signal.
The mobile terminal that the embodiment of the present invention can be used for there is call drop positions, now, and the call drop CDR when the last item CDR in above-described embodiment is specially mobile terminal generation call drop; Correspondingly, Active Set when Active Set is specially call resources release.
Fig. 3 is the flow chart that the present invention is based on an embodiment of auxiliary triangle localization method of customer behavior modeling.The present embodiment need to position as application example and describe this mobile phone users during taking mobile terminal generation call drop, but the above-mentioned record of this technical staff based on the embodiment of the present invention, be appreciated that all convertible embodiment that obtain of the present embodiment, instead of restriction to the embodiment of the present invention.As shown in Figure 2, the auxiliary triangle localization method of this embodiment based on customer behavior modeling comprises:
310, suppose that call drop has occurred mobile terminal, need to position to there is the mobile terminal of call drop the last item CDR of the mobile phone users during as location of the call drop CDR while obtaining mobile terminal generation call drop.
320, from all CDR of base station stored, obtain CDR identical with mobile phone users ID in above-mentioned call drop CDR and base station section difference, except this call drop CDR as a CDR.
330, from a CDR, while selecting in end of conversation moment and call drop CDR end of conversation, be engraved in the CDR presetting in time difference range as all the other CDR.
340, all the other CDR are screened as condition taking " call resources has the chip time delay of pilot signal in the chip time delay of pilot signal in an Active Set and call drop CDR to be more or less the same in a chip while release ", obtain the 2nd CDR.
350, the 2nd CDR is screened as condition taking " call resources has the pilot frequency intensity of pilot signal in the pilot frequency intensity of pilot signal in an Active Set and call drop CDR to be more or less the same in 7dB while release ", obtain the 3rd CDR.
360, pilot signal in the PSMM message respectively mobile terminal the last item of recording in the 3rd CDR being reported is carried out statistical analysis, obtain affiliated pilot set, pilot frequency intensity, the pilot tone time delay of each pilot signal in the PSMM message that the last item reports, select pilot signal that pilot frequency intensity is greater than preset strength as strong waveguide frequency signal.
370, whether identification is analyzed the strong waveguide frequency signal of selecting obtaining and is reached more than two from the 3rd CDR, whether also has plural strong waveguide frequency signal in call drop CDR the strong waveguide frequency signal in Active Set branch that is:.
Whether the strong waveguide frequency signal obtaining in response to analysis reaches more than two, carries out 380 operation.The strong waveguide frequency signal obtaining in response to analysis is less than two, carries out 390 operation.
380, the plural strong waveguide frequency signal obtaining according to the strong waveguide frequency signal in call drop CDR and analysis, adopts three angle positioning methods to position mobile phone users.
Afterwards, do not carry out the follow-up flow process of the present embodiment.
390, in multiple strong waveguide frequency signals that the strong waveguide frequency signal in statistical computation call drop CDR and analysis obtain, the average pilot time delay of each pilot signal.
Exemplarily, time delay while calculating the average pilot of each pilot signal, can remove the pilot tone time delay that value is abnormal.The pilot tone time delay that this value is abnormal can be for example value higher than the first preset value and/or lower than the pilot tone time delay of the second preset value.
391, according to the average pilot time delay of each pilot signal and the longitude and latitude that in the engineering parameter table setting in advance, identical PN code is corresponding, on map, mobile phone users is simulated to location.
Engineering parameter table wherein comprises the information such as the longitude and latitude, PN, antenna height, azimuth of each base station.
Fig. 4 is the structural representation that the present invention is based on an embodiment of auxiliary triangle positioner of customer behavior modeling.The auxiliary triangle positioner of this embodiment based on customer behavior modeling can be used in the present invention above-mentioned each auxiliary triangle localization method based on customer behavior modeling.As shown in Figure 4, it comprises the first acquiring unit 410, second acquisition unit 420, analytic unit 430 and positioning unit 440.
The first acquiring unit 410, the last item CDR of mobile phone users while location for obtaining from base station.
The auxiliary triangle positioner based on customer behavior modeling that the above embodiment of the present invention provides, can obtain location time, the last item CDR of mobile phone users is at all the other CDR of same scene, by these all the other CDR are analyzed and obtain multiple strong waveguide frequency signals, and the multiple strong waveguide frequency signals that obtain according to the strong waveguide frequency signal in the last item CDR and analysis, realize the location to this mobile phone users.Thus, the embodiment of the present invention is assisted mobile phone users is positioned by analysis CDR data, compared with prior art, solve when existing three angle positioning methods cannot obtain the signal of the above base stations of three or three and cannot complete the technical problem of location, be particularly useful for the more sparse place of suburb or base station distribution, made up thus location blind spot.
According to the present invention is based on concrete example of auxiliary triangle positioner embodiment of customer behavior modeling and unrestricted, second acquisition unit 420 specifically can be from all CDR, obtain CDR identical with user ID base station section difference in the last item CDR, except the last item CDR as a CDR; And from a CDR, while call in select to converse moment and the last item CDR, be engraved in the CDR presetting in time difference range as all the other CDR.
According to the present invention is based on another concrete example of auxiliary triangle positioner embodiment of customer behavior modeling and unrestricted, analytic unit 430 specifically can be from all the other CDR, select to have CDR that the chip time delay of pilot signal in chip time delay the last item CDR of pilot signal in Active Set is more or less the same in a chip as the 2nd CDR; And from the 2nd CDR, select to have CDR that the pilot frequency intensity of pilot signal in the pilot frequency intensity of pilot signal in Active Set and the last item CDR is more or less the same in 7dB as the 3rd CDR; And respectively the pilot signal in the PSMM message that in the 3rd CDR, mobile terminal the last item reports is carried out to statistical analysis, obtain affiliated pilot set, pilot frequency intensity, the pilot tone time delay of each pilot signal in the PSMM message that the last item reports, and select pilot signal that pilot frequency intensity is greater than preset strength as strong waveguide frequency signal.
The mobile terminal that the device of the present embodiment can be used for there is call drop positions, now, and the call drop CDR when the last item CDR in above-described embodiment is specially mobile terminal generation call drop; Correspondingly, Active Set when Active Set is specially call resources release.
According to the present invention is based on another concrete example of auxiliary triangle positioner embodiment of customer behavior modeling and unrestricted, positioning unit 440 is according to the strong waveguide frequency signal in the last item CDR when analyzing multiple strong waveguide frequency signals of obtaining mobile phone users is positioned, and whether the strong waveguide frequency signal specifically can discriminance analysis obtaining reaches more than two; Whether the strong waveguide frequency signal obtaining in response to analysis reaches more than two, and the plural strong waveguide frequency signal obtaining according to the strong waveguide frequency signal in the last item CDR and analysis adopts triangle positioner to position mobile phone users.
Alternatively, when multiple strong waveguide frequency signals that positioning unit 440 obtains according to the strong waveguide frequency signal in the last item CDR and analysis position mobile phone users, also be less than two for the strong waveguide frequency signal obtaining in response to analysis, in multiple strong waveguide frequency signals that strong waveguide frequency signal in statistical computation the last item CDR and analysis obtain, the average pilot time delay of each pilot signal; And according to the average pilot time delay of each pilot signal and the longitude and latitude that in the engineering parameter table setting in advance, identical PN code is corresponding, mobile phone users is simulated to location.
Exemplarily, time delay when positioning unit 440 calculates the average pilot of each pilot signal, removes the pilot tone time delay that value is abnormal.The pilot tone time delay that this value is abnormal is specifically as follows value higher than the first preset value and/or lower than the pilot tone time delay of the second preset value.
In this specification, each embodiment all adopts the mode of going forward one by one to describe, and what each embodiment stressed is and the difference of other embodiment, same or analogous part cross-references between each embodiment.For device embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, relevant part is referring to the part explanation of embodiment of the method.
May realize in many ways method and apparatus of the present invention.For example, can realize method and apparatus of the present invention by any combination of software, hardware, firmware or software, hardware, firmware.The said sequence that is used for the step of described method is only in order to describe, and the step of method of the present invention is not limited to above specifically described order, unless otherwise specified.In addition, in certain embodiments, can be also the program being recorded in recording medium by the invention process, these programs comprise the machine readable instructions for realizing the method according to this invention.Thereby the present invention also covers the recording medium of storing the program for carrying out the method according to this invention.
One of ordinary skill in the art will appreciate that: all or part of step that realizes said method embodiment can complete by the relevant hardware of program command, aforesaid program can be stored in a computer read/write memory medium, this program, in the time carrying out, is carried out the step that comprises said method embodiment; And aforesaid storage medium comprises: various media that can be program code stored such as ROM, RAM, magnetic disc or CDs.
The embodiment of the present invention is assisted mobile phone users is positioned by analysis CDR data, compared with prior art, solve when existing three angle positioning methods cannot obtain the signal of the above base stations of three or three and cannot complete the technical problem of location, be particularly useful for the more sparse place of suburb or base station distribution, made up thus location blind spot.
Description of the invention provides for example with for the purpose of describing, and is not exhaustively or limit the invention to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.Selecting and describing embodiment is for better explanation principle of the present invention and practical application, thereby and makes those of ordinary skill in the art can understand the present invention's design to be suitable for the various embodiment with various amendments of special-purpose.
Claims (16)
1. the auxiliary triangle localization method based on customer behavior modeling, is characterized in that, comprising:
The last item call detail record CDR of mobile phone users while obtaining location;
Obtain the last item CDR all the other CDR in same scene;
Described all the other CDR are analyzed and obtain multiple strong waveguide frequency signals;
According to the strong waveguide frequency signal in the last item CDR and multiple strong waveguide frequency signals that analysis obtains, described mobile phone users is positioned.
2. method according to claim 1, is characterized in that, described in obtain the last item CDR and comprise at all the other CDR of same scene:
From all CDR, obtain CDR identical with user ID in the last item CDR and base station section difference, except described the last item CDR as a CDR;
From a described CDR, while call in select to converse moment and the last item CDR, be engraved in the CDR presetting in time difference range as all the other CDR.
3. method according to claim 2, is characterized in that, described all the other CDR are analyzed and obtain multiple strong waveguide frequency signals and comprise:
From described all the other CDR, select to have CDR that the chip time delay of pilot signal in the chip time delay of pilot signal in Active Set and the last item CDR is more or less the same in a chip as the 2nd CDR;
From described the 2nd CDR, select to have CDR that the pilot frequency intensity of pilot signal in the pilot frequency intensity of pilot signal in Active Set and the last item CDR is more or less the same in 7dB as the 3rd CDR;
Respectively the pilot signal in the Pilot Strength Measurement Message PSMM message that in described the 3rd CDR, mobile terminal the last item reports is carried out to statistical analysis, obtain affiliated pilot set, pilot frequency intensity, the pilot tone time delay of each pilot signal in the PSMM message that described the last item reports, select pilot signal that pilot frequency intensity is greater than preset strength as strong waveguide frequency signal.
4. method according to claim 3, is characterized in that, call drop CDR when described the last item CDR is specially described mobile terminal generation call drop;
Described Active Set is specially: Active Set when call resources discharges.
5. according to the method described in claim 1 to 4 any one, it is characterized in that, according to the strong waveguide frequency signal in the last item CDR and multiple strong waveguide frequency signals that analysis obtains, described mobile phone users positioned and comprised:
Whether the strong waveguide frequency signal that discriminance analysis obtains reaches more than two;
Whether the strong waveguide frequency signal obtaining in response to analysis reaches more than two, and the plural strong waveguide frequency signal obtaining according to the strong waveguide frequency signal in the last item CDR and analysis adopts three angle positioning methods to position mobile phone users.
6. method according to claim 5, is characterized in that, also comprises:
The strong waveguide frequency signal obtaining in response to analysis is less than two, in multiple strong waveguide frequency signals that the strong waveguide frequency signal in statistical computation the last item CDR and analysis obtain, and the average pilot time delay of each pilot signal;
According to the average pilot time delay of each pilot signal and the longitude and latitude that in the engineering parameter table setting in advance, identical PN code is corresponding, described mobile phone users is simulated to location.
7. method according to claim 6, is characterized in that, time delay while calculating the average pilot of each pilot signal, removes the pilot tone time delay that value is abnormal.
8. method according to claim 7, is characterized in that, the pilot tone time delay that described value is abnormal is specially value higher than the first preset value and/or lower than the pilot tone time delay of the second preset value.
9. the auxiliary triangle positioner based on customer behavior modeling, is characterized in that, comprising:
The first acquiring unit, the last item call detail record CDR of mobile phone users while location for obtaining from base station;
Second acquisition unit, for obtaining described the last item CDR all the other CDR in same scene;
Analytic unit, for analyzing and obtain multiple strong waveguide frequency signals described all the other CDR;
Positioning unit, for positioning described mobile phone users according to the strong waveguide frequency signal of the last item CDR and multiple strong waveguide frequency signals that analysis obtains.
10. device according to claim 9, is characterized in that, described second acquisition unit specifically, from all CDR, obtains CDR identical with user ID in the last item CDR and base station section difference, except described the last item CDR as a CDR; And from a described CDR, while call in select to converse moment and the last item CDR, be engraved in the CDR presetting in time difference range as all the other CDR.
11. devices according to claim 10, it is characterized in that, described analytic unit specifically from described all the other CDR, selects to have CDR that the chip time delay of pilot signal in the chip time delay of pilot signal in Active Set and the last item CDR is more or less the same in a chip as the 2nd CDR; From described the 2nd CDR, select to have CDR that the pilot frequency intensity of pilot signal in the pilot frequency intensity of pilot signal in Active Set and the last item CDR is more or less the same in 7dB as the 3rd CDR; And respectively the pilot signal in the Pilot Strength Measurement Message PSMM message that in described the 3rd CDR, mobile terminal the last item reports is carried out to statistical analysis, obtain affiliated pilot set, pilot frequency intensity, the pilot tone time delay of each pilot signal in the PSMM message that described the last item reports, select pilot signal that pilot frequency intensity is greater than preset strength as strong waveguide frequency signal.
12. devices according to claim 11, is characterized in that, call drop CDR when described the last item CDR is specially described mobile terminal generation call drop;
Described Active Set is specially: Active Set when call resources discharges.
13. according to the device described in claim 9 to 12 any one, it is characterized in that, when multiple strong waveguide frequency signals that described positioning unit obtains according to the strong waveguide frequency signal in the last item CDR and analysis position described mobile phone users, whether the strong waveguide frequency signal that concrete discriminance analysis obtains reaches more than two; Whether the strong waveguide frequency signal obtaining in response to analysis reaches more than two, and the plural strong waveguide frequency signal obtaining according to the strong waveguide frequency signal in the last item CDR and analysis adopts triangle positioner to position mobile phone users.
14. devices according to claim 13, it is characterized in that, when multiple strong waveguide frequency signals that described positioning unit obtains according to the strong waveguide frequency signal in the last item CDR and analysis position described mobile phone users, also be less than two for the strong waveguide frequency signal obtaining in response to analysis, in multiple strong waveguide frequency signals that strong waveguide frequency signal in statistical computation the last item CDR and analysis obtain, the average pilot time delay of each pilot signal; And according to the average pilot time delay of each pilot signal and the longitude and latitude that in the engineering parameter table setting in advance, identical PN code is corresponding, described mobile phone users is simulated to location.
15. devices according to claim 14, is characterized in that, time delay when described positioning unit calculates the average pilot of each pilot signal, removes the pilot tone time delay that value is abnormal.
16. devices according to claim 15, is characterized in that, the pilot tone time delay that described value is abnormal is specially value higher than the first preset value and/or lower than the pilot tone time delay of the second preset value.
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