CN102984799B - Method and system for judging user positions - Google Patents

Method and system for judging user positions Download PDF

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CN102984799B
CN102984799B CN201210490583.1A CN201210490583A CN102984799B CN 102984799 B CN102984799 B CN 102984799B CN 201210490583 A CN201210490583 A CN 201210490583A CN 102984799 B CN102984799 B CN 102984799B
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matrix
user
overlay area
base station
correlation matrix
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CN102984799A (en
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邬江兴
黄开枝
许明艳
金梁
季新生
彭建华
郭素霞
冯涛
汤红波
江涛
宋华伟
禹春来
柏溢
杨梅樾
秦小刚
张天忠
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PLA Information Engineering University
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PLA Information Engineering University
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Abstract

The invention provides a method and a system for judging user positions. The method includes building a space correlation matrix covering base stations in an area according to distribution conditions of the base stations in the area, obtaining history communication events of a user, building a space-time correlation matrix according to the history communication events of the user and combined with the space correlation matrix, reducing a behavior track matrix based on a history communication event sequence by using the space-time correlation matrix, and judging the position of the user according to the space-time correlation matrix and the behavior track matrix. According to the method and the system for judging user positions, the accuracy of user position judging is improved without using any locating device and algorithm.

Description

A kind of customer location decision method and system
Technical field
The present invention relates to communication technical field, particularly relate to a kind of customer location decision method and system.
Background technology
Along with the development of the communication technology, wireless mobile communications has become the maximum a kind of communication mode of userbase and use amount in global range.
The feature such as the high speed development of mobile communication technology makes mobile terminal present diverse in function, be widely used, becomes the main information chemical industry tool of people's learning life and communication.But, deposit the quick evolution with multimode blocking along with the many systems of mobile terminal, and the continuous enhancing of the multiple types information processing capability such as voice, note, image, video, new hidden danger of divulging a secret also becomes increasingly conspicuous.In order to eliminate safe hidden trouble, specific aim must be taked, put under surveillance measure mobile terminal.
In prior art, by arranging the equipment of a camouflage base station functions and pseudo-base station, controlling the access procedure of mobile terminal in overlay area, terminal discovery, identity and location determination function can be realized.But, due to the broadcast characteristic of wireless signal, the isolation of intact border can not be ensured, namely can not make the border of overlay area by strict bounded, therefore, user cannot be made be in overlay area or no-coverage by strict bounded.
Summary of the invention
In view of this, the invention provides a kind of customer location decision method based on telex network action trail, the problem that user is in overlay area or no-coverage cannot be made by strict bounded for solving prior art.Its technical scheme is as follows:
A kind of customer location decision method, comprising:
According to the distribution situation of base station in overlay area, set up the space correlation matrix of base station in described overlay area;
Obtain the historical communication event of user, according to the historical communication event of described user, set up space time correlation matrix in conjunction with described space correlation matrix;
Described space time correlation matrix is utilized to restore action trail matrix based on telex network sequence of events;
The position residing for user is judged according to described space correlation matrix and described action trail matrix.
Preferably, described overlay area is realized by pseudo-base station manner;
The described distribution situation according to base station in overlay area, the space correlation matrix obtaining base station in described overlay area comprises: according to the distribution situation of described pseudo-base station, utilizes Markov model to set up space correlation matrix in described overlay area between base station.
Preferably, the historical communication event of described acquisition user, according to the historical communication event of described user, set up space time correlation matrix in conjunction with described space correlation matrix and comprise:
Identify the communication behavior of user by described pseudo-base station perception, and record time of origin and the duration of described communication behavior;
Space time correlation matrix is set up according to the time of origin of described communication behavior and duration and described space correlation matrix.
Preferably, described position residing for described space correlation matrix and described action trail matrix judgement user comprises:
Set up spatiality transition probability matrix according to described space correlation matrix, described spatiality transition probability matrix reflection customer location is from a base station association in overlay area to the probability of another base station;
Determine that user is positioned at the probability of overlay area according to described spatiality transition probability matrix and described action trail matrix, if the probability that user is positioned at overlay area is greater than 0, then judge that user is positioned at overlay area.
Preferably, if the probability that user is positioned at overlay area equals 0, then judge whether user occurs in described overlay area according to described space time correlation matrix, if so, then judge that user is positioned at overlay area, otherwise, judge that user is positioned at outside overlay area.
A kind of customer location decision-making system, comprising: the first matrix sets up unit, acquiring unit, the second matrix set up unit, reduction unit, the 3rd matrix set up unit and location determination unit;
Described first matrix sets up unit, for the distribution situation according to base station in overlay area, sets up the space correlation matrix of base station in described overlay area;
Described acquiring unit, for obtaining the historical communication event of user;
Described second matrix sets up unit, for the historical communication event according to described user, sets up space time correlation matrix in conjunction with described space correlation matrix;
Described reduction unit, restores action trail based on telex network sequence of events for utilizing described space time correlation matrix;
Described 3rd matrix sets up unit, for setting up action trail matrix according to the action trail based on telex network sequence of events restored;
Described location determination unit, for judging the position residing for user according to described space correlation matrix and described action trail matrix.
Preferably, described overlay area is realized by pseudo-base station manner;
Described first matrix is set up unit and is comprised: the first matrix sets up subelement;
Described first matrix sets up subelement, for the distribution situation according to described pseudo-base station, utilizes Markov model to set up space correlation matrix in described overlay area between base station.
Preferably, described acquiring unit comprises acquisition subelement, and described second matrix is set up unit and comprised the second matrix and set up subelement;
Described acquisition subelement, for identifying the communication behavior of user by described pseudo-base station perception, and records time of origin and the duration of described communication behavior;
Described second matrix sets up subelement, for setting up space time correlation matrix according to the time of origin of described communication behavior and duration and described space correlation matrix.
Preferably, described location determination unit comprises: the second matrix is set up subelement, determined that subelement and first judges subelement;
Described second matrix sets up subelement, and for setting up spatiality transition probability matrix according to described space correlation matrix, described spatiality transition probability matrix reflection customer location is from a base station association in overlay area to the probability of another base station;
Describedly determine subelement, for determining that user is positioned at the probability of overlay area according to described spatiality transition probability matrix and described action trail matrix;
Described first judges subelement, is greater than 0 for the probability being positioned at overlay area as user, judges that user is positioned at overlay area.
Preferably, described location determination unit also comprises the second judgement subelement;
Described second judges subelement, when the probability for being positioned at overlay area as user equals 0, judges the base station appearance of user whether in described overlay area according to described space time correlation matrix, if, then judge that user is positioned at overlay area, otherwise, judge that user is positioned at outside overlay area.
Customer location decision method provided by the invention and system, first according to the distribution situation of base station in overlay area, set up the space correlation matrix of base station in overlay area, then the historical communication event of user is obtained, according to the historical communication event of user, space time correlation matrix is set up in conjunction with space correlation matrix, then utilize described space time correlation matrix to restore action trail matrix based on telex network sequence of events, finally judge the position residing for user according to space correlation matrix and action trail matrix.Customer location decision method provided by the invention and system, when not utilizing any positioning equipment and algorithm, can be made user and to be in overlay area or outside overlay area, to improve the accuracy that customer location judges by strict bounded.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
The schematic flow sheet of the customer location decision method that Fig. 1 provides for the embodiment of the present invention;
The base station distribution situation schematic diagram that Fig. 2 provides for the embodiment of the present invention;
The routing update message schematic diagram that Fig. 3 provides for the embodiment of the present invention;
The user movement schematic diagram that Fig. 4 provides for the embodiment of the present invention;
The structural representation of the customer location decision-making system that Fig. 5 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Embodiments provide a kind of customer location decision method based on telex network action trail, Fig. 1 is the schematic flow sheet of the method, and the method can comprise:
S101: according to the distribution situation of base station in overlay area, sets up the space correlation matrix of base station in overlay area.
S102: the historical communication event obtaining user, according to the historical communication event of user, sets up space time correlation matrix in conjunction with space correlation matrix.
S103: utilize space time correlation matrix to restore action trail based on telex network sequence of events, and set up action trail matrix.
S104: judge the position residing for user according to space correlation matrix and action trail matrix.
In another embodiment of the invention, overlay area realizes by pseudo-base station manner, and pseudo-base station is arranged on the traffic main artery in overlay area, and when user passes through, pseudo-base station can fast reaction.According to the distribution situation of base station in overlay area, obtaining the space correlation matrix of base station in overlay area can comprise: according to the distribution situation of pseudo-base station, utilizes Markov model to set up space correlation matrix in overlay area between base station.
Because pseudo-base station is under the prerequisite of breakthrough 2G/3G air-interface security mechanism, the behavior of energy quick sensing and accurately identification user, as got over district, switching, switching on and shutting down registration, calling, note etc.Therefore, in one more embodiment of the present invention, obtain the historical communication event of user, according to the historical communication event of user, set up space time correlation matrix in conjunction with space correlation matrix can comprise: identify the communication behavior of user by the perception of pseudo-base station, the time of origin of record communication behavior and duration, set up space time correlation matrix according to the time of origin of communication behavior of record and duration and space correlation matrix.
In the present embodiment, pseudo-base station is utilized to induce behind Kong Shou community by the mobile terminal in overlay area, analyze the relevant parameter in user's access signaling process, extract the wireless identification information of mobile terminal, when target is not discovered, in conjunction with database information process, complete the associating of mobile terminal wireless identification and Subscriber Number, identification and screening and filtering, carry out terminal feature to detect and extract, incidence matrices when providing user empty, comprises the time of advent, time departure and the duration in base station range.
It should be noted that, when setting up space time correlation matrix, space time correlation constraint must embody two features: exclusiveness and continuity, exclusiveness, namely same user can not occur two different base station at one time, continuity, namely the movement of user must be continuous print, and user can not jump to suddenly another non-conterminous base station location from a base station location under open state.
The action trail based on telex network sequence of events can be restored by the space time correlation matrix of above-mentioned foundation, and set up action trail matrix, wherein, include the reduction of user behavior track in loss of learning situation, action trail matrix can embody the direction of motion of user, enters overlay area or leaves overlay area.
In another embodiment of the present invention, judge that the position residing for user can comprise according to space correlation matrix and action trail matrix: set up spatiality transition probability matrix according to space correlation matrix, determine that user is positioned at the probability of overlay area according to spatiality transition probability matrix and action trail matrix, if the probability that user is positioned at overlay area is greater than 0, then judge that user is positioned at overlay area, wherein, spatiality transition probability matrix reflection customer location is from a base station association in overlay area to the probability of another base station.
In other embodiments of the invention, when the probability that user is positioned at overlay area equals 0, directly do not judge that user is positioned at outside overlay area, but to judge that the base station of user whether in overlay area occurs according to space time correlation matrix, if the base station of user not in overlay area occurs, then judge that user is outside overlay area, if the base station of user in overlay area occurs, then judge that user is in overlay area.It should be noted that, the probability being positioned at overlay area as user equals 0, and when the base station of user in overlay area occurs, show that user leaves in overlay area, in order to reduce alarm dismissal probability, as long as user continue for a period of time in overlay area, be just judged to be in overlay area.
On the basis of the embodiment provided in the invention described above, now enumerate an instantiation as explanation.
As shown in Figure 2, B 1-B 19represent 19 different base stations, wherein B=(B 1, B 2, B 3, B 4, B 5, B 6, B 7) represent base station in overlay area.Judge that the process of customer location is specially:
1. according to the distribution situation of base station in overlay area, the space correlation matrix of base station in overlay area is set up.
Based on base station B in Fig. 2 1to B 7distribution situation, regard the movement of user between different base station as transfer between different conditions, utilize Markov model to set up the space correlation matrix M of base station in overlay area:
M = ( m ij ) = 1 1 1 1 1 1 1 1 1 1 0 0 0 1 1 1 1 1 0 0 0 1 0 1 1 1 0 0 1 0 0 1 1 1 0 1 0 0 0 1 1 1 1 1 0 0 0 1 1
Wherein, m ij=P (B j/ B i), i=1,2,3 ..., 7j=1,2,3 ..., 7, if m ij=1, then represent that user can from base station B jswitch to B iif, m ij=0, then represent base station B jwith B ibetween there is not handoff relation, namely user cannot from base station B jswitch to B i.As m 32=1, represent that user can from base station B 2switch to B 3, m 35=0, represent that user cannot from base station B 5switch to B 3.
Counting user is from base station B ibe associated with B jfrequency, be designated as f ij, normalization f ijobtain state transition probability a ij:
a ij = f ij Σ j f ij
Suppose that the transfer between base station is equiprobable, set up space correlation probability matrix A, space correlation probability matrix A can be expressed as:
A = ( a ij ) = 1 / 7 1 / 7 1 / 7 1 / 7 1 / 7 1 / 7 1 / 7 1 / 4 1 / 4 1 / 4 0 0 0 1 / 4 1 / 4 1 / 4 1 / 4 1 / 4 0 0 0 1 / 4 0 1 / 4 1 / 4 1 / 4 0 0 1 / 4 0 0 1 / 4 1 / 4 1 / 4 0 1 / 4 0 0 0 1 / 4 1 / 4 1 / 4 1 / 4 1 / 4 0 0 0 1 / 4 1 / 4
S=(S 1, S 2s js m), j=1,2 ... m, wherein, m represents m mobile terminal.Suppose terminal S jbe positioned at the covering borderline region of multiple base station, and the collection of base stations Φ of this terminal can be observed jrepresent.Be located at base station B iobserve S jprobability be P (S j| B i), then have suppose that user is equiprobable to the probability of certain base station in base station set, then P (S j| B i)=1/ Φ j.
2. obtain the historical communication event of user, according to the historical communication event of user, set up space time correlation matrix in conjunction with space correlation matrix.
The pseudo-base station being positioned at overlay area can get the communication event behaviors such as more district's registration, switching on and shutting down registration, note, call, the online of user, and the time of record communication event behavior generation and basic communication information.As shown in Figure 3, behavior is registered for the more district obtaining user: when user is from base station B imove to base station B jtime, it is different from the LAI of its storage that terminal obtains location area LAI from broadcast channel message, and now, terminal will to base station B jsend position register request information, pseudo-base station just can get the more district registration behavior of user, and this is more registered behavior record in the communication event behavior list of user in district.The communication event behavior of being recorded by pseudo-base station can obtain the historical communication event of user.
In fact, the communication event behavior of terminal not only shows association in position, also shows the duration of location status.Such as, as shown in Figure 3, user is from base station B 1move to base station B 2need the time, be designated as T 12, equally, user is from base station B 2move to base station B 3also need the time, be designated as T 23, and T 12and T 23occur in sequence.
In conjunction with the space correlation state-transition matrix between base station, the basis of sequential context relation incorporates spatial context correlation, the contextual incidence matrices COR of space-time of telex network event can be obtained, " OK " of this matrix is time period { the T1 T2 T3 divided ..., " row " of matrix represent the band of position belonging to terminal.Suppose that certain user is from base station B 4move to B 5, then its space time correlation matrix is:
COR = 0 0 0 T 1 T 2 0 0 0 0 0 τ 1 τ 2 0 0
Wherein, T 1represent that user is at base station B 4the affiliated time period is T 1, T 2represent that user is at base station B 5the affiliated time period is T 2, τ 1represent that user is at base station B 4in duration be τ 1, τ 2represent that user is at base station B 5in duration be τ 2.
3. the action trail matrix that space time correlation matrix is determined based on telex network sequence of events is utilized.
User behavior track matrix P is determined according to the time of advent of user in certain base station range and the time of staying:
Wherein, p ij=1 represents that terminal is from base station B ibe switched to base station B j.As shown in Figure 4, user behavior track matrix notation is:
P T = ( p ij ) = 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Wherein, p 14=1, represent that user is from base station B 1be switched to base station B 4, p 45=1, represent that user is from base station B 4be switched to base station B 5.
4. the position residing for user is judged according to space correlation probability matrix and action trail matrix.
Same with user from base station B 1move to base station B 4, then from base station B 4move to base station B 5for example: user is positioned at the probability P of overlay area ufor user is from base station B 1switch to base station B 4probability add from base station B 4switch to base station B 5probability:
= 0 0 0 1 0 0 0 1 / 7 1 / 7 1 / 7 1 / 7 1 / 7 1 / 7 1 / 7 1 / 4 1 / 4 1 / 4 0 0 0 1 / 4 1 / 4 1 / 4 1 / 4 1 / 4 0 0 0 1 / 4 0 1 / 4 1 / 4 1 / 4 0 0 1 / 4 0 0 1 / 4 1 / 4 1 / 4 0 1 / 4 0 0 0 1 / 4 1 / 4 1 / 4 1 / 4 1 / 4 0 0 0 1 / 4 1 / 4 ′ 1 0 0 0 0 0 0
+ 0 0 0 0 1 0 0 1 / 7 1 / 7 1 / 7 1 / 7 1 / 7 1 / 7 1 / 7 1 / 4 1 / 4 1 / 4 0 0 0 1 / 4 1 / 4 1 / 4 1 / 4 1 / 4 0 0 0 1 / 4 0 1 / 4 1 / 4 1 / 4 0 0 1 / 4 0 0 1 / 4 1 / 4 1 / 4 0 1 / 4 0 0 0 1 / 4 1 / 4 1 / 4 1 / 4 1 / 4 0 0 0 1 / 4 1 / 4 ′ 0 0 0 1 0 0 0
= 1 / 7 + 1 / 4 = 11 / 28
Wherein, representing matrix P tthe 1st row, representing matrix P tthe 4th row, representing matrix P tthe 4th row, representing matrix P tthe 5th row.The border in base station coverage area and geographical position accurately can be determined according to the size of the above-mentioned probable value calculated.
The customer location decision method that the embodiment of the present invention provides, do not affecting user's normal talking, and when not utilizing any positioning equipment and algorithm, user can be made to be in overlay area or outside overlay area by strict bounded, improve the accuracy that customer location judges, avoid the interference to user outside overlay area, and, reduce false alarm probability.
Corresponding with said method, the embodiment of the present invention additionally provides a kind of customer location decision-making system, Fig. 4 is the structural representation of this system, and this system can comprise: the first matrix sets up unit 101, acquiring unit 102, second matrix sets up unit 103, reduction unit 104, the 3rd matrix set up unit 105 and location determination unit 106.Wherein:
First matrix sets up unit 101, for the distribution situation according to base station in overlay area, sets up the space correlation matrix of base station in overlay area.Acquiring unit 102, for obtaining the historical communication event of user.Second matrix sets up unit 103, for the historical communication event according to user, sets up space time correlation matrix in conjunction with space correlation matrix.Reduction unit 104, restores action trail based on telex network sequence of events for utilizing space time correlation matrix.3rd matrix sets up unit 105, for setting up action trail matrix according to the action trail based on telex network sequence of events restored.Location determination unit 106, for judging the position residing for user according to space correlation matrix and action trail matrix.
In another embodiment of the invention, overlay area is realized by pseudo-base station manner.First matrix is set up unit 101 and can be comprised: the first matrix sets up subelement.First matrix sets up subelement, for the distribution situation according to pseudo-base station, utilizes Markov model to set up space correlation matrix in overlay area between base station.
In another embodiment of the present invention, acquiring unit 102 can comprise acquisition subelement, and the second matrix is set up unit 103 and can be comprised the second matrix and set up subelement.Wherein, obtain subelement, for identifying the communication behavior of user by the perception of pseudo-base station, and the time of origin of record communication behavior and duration.Second matrix sets up subelement, for setting up space time correlation matrix according to the time of origin of communication behavior and duration and space correlation matrix.
In other embodiments of the invention, location determination unit 106 can comprise: the second matrix is set up subelement, determined that subelement and first judges subelement.Wherein, the second matrix sets up subelement, and for setting up spatiality transition probability matrix according to space correlation matrix, spatiality transition probability matrix reflection customer location is from a base station association in overlay area to the probability of another base station; Determine subelement, for determining that user is positioned at the probability of overlay area according to spatiality transition probability matrix and action trail matrix; First judges subelement, is greater than 0 for the probability being positioned at overlay area as user, judges that user is positioned at overlay area.
In other embodiments of the invention, above-mentioned location determination unit 106 also comprises the second judgement subelement.Second judges subelement, when the probability for being positioned at overlay area as user equals 0, judges the base station appearance of user whether in overlay area according to space time correlation matrix, if, then judge that user is positioned at overlay area, otherwise, judge that user is positioned at outside overlay area.
Customer location decision-making system provided by the invention, do not affecting user's normal talking, and when not utilizing any positioning equipment and algorithm, user can be made to be in overlay area or outside overlay area by strict bounded, improve the accuracy that customer location judges, avoid the interference to user outside overlay area, and, reduce false alarm probability.
In this specification, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.For device disclosed in embodiment, because it corresponds to the method disclosed in Example, so description is fairly simple, relevant part illustrates see method part.
It should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operating space, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.
Professional can also recognize further, in conjunction with unit and the algorithm steps of each example of embodiment disclosed herein description, can realize with electronic hardware, computer software or the combination of the two, in order to the interchangeability of hardware and software is clearly described, generally describe composition and the step of each example in the above description according to function.These functions perform with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.Professional and technical personnel can use distinct methods to realize described function to each specifically should being used for, but this realization should not thought and exceeds scope of the present invention.
The software module that the method described in conjunction with embodiment disclosed herein or the step of algorithm can directly use hardware, processor to perform, or the combination of the two is implemented.Software module can be placed in the storage medium of other form any known in random asccess memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.

Claims (10)

1. a customer location decision method, is characterized in that, comprising:
According to the distribution situation of base station in overlay area, set up the space correlation matrix of base station in described overlay area;
Obtain the historical communication event of user, according to the historical communication event of described user, set up space time correlation matrix in conjunction with described space correlation matrix;
Utilize described space time correlation matrix to restore action trail based on telex network sequence of events, and set up action trail matrix;
The position residing for user is judged according to described space correlation matrix and described action trail matrix.
2. method according to claim 1, is characterized in that, described overlay area is realized by pseudo-base station manner;
The described distribution situation according to base station in overlay area, the space correlation matrix obtaining base station in described overlay area comprises:
According to the distribution situation of described pseudo-base station, Markov model is utilized to set up space correlation matrix in described overlay area between base station.
3. method according to claim 2, is characterized in that, the historical communication event of described acquisition user, according to the historical communication event of described user, sets up space time correlation matrix comprise in conjunction with described space correlation matrix:
Identify the communication behavior of user by described pseudo-base station perception, record time of origin and the duration of described communication behavior;
Space time correlation matrix is set up according to the time of origin of described communication behavior and duration and described space correlation matrix.
4. method according to claim 1, is characterized in that, described position residing for described space correlation matrix and described action trail matrix judgement user comprises:
Set up spatiality transition probability matrix according to described space correlation matrix, described spatiality transition probability matrix reflection customer location is from a base station association in overlay area to the probability of another base station;
Determine that user is positioned at the probability of overlay area according to described spatiality transition probability matrix and described action trail matrix, if the probability that user is positioned at overlay area is greater than 0, then judge that user is positioned at overlay area.
5. method according to claim 4, it is characterized in that, if the probability that user is positioned at overlay area equals 0, then judge whether user occurs in described overlay area according to described space time correlation matrix, if, then judge that user is positioned at overlay area, otherwise, judge that user is positioned at outside overlay area.
6. a customer location decision-making system, is characterized in that, comprising: the first matrix sets up unit, acquiring unit, the second matrix set up unit, reduction unit, the 3rd matrix set up unit and location determination unit;
Described first matrix sets up unit, for the distribution situation according to base station in overlay area, sets up the space correlation matrix of base station in described overlay area;
Described acquiring unit, for obtaining the historical communication event of user;
Described second matrix sets up unit, for the historical communication event according to described user, sets up space time correlation matrix in conjunction with described space correlation matrix;
Described reduction unit, restores action trail based on telex network sequence of events for utilizing described space time correlation matrix;
Described 3rd matrix sets up unit, for setting up action trail matrix according to the action trail based on telex network sequence of events restored;
Described location determination unit, for judging the position residing for user according to described space correlation matrix and described action trail matrix.
7. system according to claim 6, is characterized in that, described overlay area is realized by pseudo-base station manner;
Described first matrix is set up unit and is comprised: the first matrix sets up subelement;
Described first matrix sets up subelement, for the distribution situation according to described pseudo-base station, utilizes Markov model to set up space correlation matrix in described overlay area between base station.
8. system according to claim 7, is characterized in that, described acquiring unit comprises acquisition subelement, and described second matrix is set up unit and comprised the second matrix and set up subelement;
Described acquisition subelement, for identifying the communication behavior of user by described pseudo-base station perception, and records time of origin and the duration of described communication behavior;
Described second matrix sets up subelement, for setting up space time correlation matrix according to the time of origin of described communication behavior and duration and described space correlation matrix.
9. system according to claim 6, is characterized in that, described location determination unit comprises: the second matrix is set up subelement, determined that subelement and first judges subelement;
Described second matrix sets up subelement, and for setting up spatiality transition probability matrix according to described space correlation matrix, described spatiality transition probability matrix reflection customer location is from a base station association in overlay area to the probability of another base station;
Describedly determine subelement, for determining that user is positioned at the probability of overlay area according to described spatiality transition probability matrix and described action trail matrix;
Described first judges subelement, is greater than 0 for the probability being positioned at overlay area as user, judges that user is positioned at overlay area.
10. system according to claim 9, is characterized in that, described location determination unit also comprises the second judgement subelement;
Described second judges subelement, when the probability for being positioned at overlay area as user equals 0, judges the base station appearance of user whether in described overlay area according to described space time correlation matrix, if, then judge that user is positioned at overlay area, otherwise, judge that user is positioned at outside overlay area.
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CN104581622B (en) * 2013-10-28 2018-09-07 华为技术有限公司 Location of mobile users prediction technique and equipment
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101472320A (en) * 2007-12-25 2009-07-01 北京沃泰丰通信技术有限公司 Method and apparatus for estimating mobile characteristic quantity of wireless network
CN101605312A (en) * 2008-06-10 2009-12-16 中国移动通信集团黑龙江有限公司 Determine the method and system of attributed region of mobile terminal
CN102271394A (en) * 2010-06-02 2011-12-07 亿阳信通股份有限公司 Call-record-data-based mobile terminal positioning method and device
JP2012124868A (en) * 2010-12-10 2012-06-28 Ntt Docomo Inc Server, mobile terminal device, system, method, and program

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101472320A (en) * 2007-12-25 2009-07-01 北京沃泰丰通信技术有限公司 Method and apparatus for estimating mobile characteristic quantity of wireless network
CN101605312A (en) * 2008-06-10 2009-12-16 中国移动通信集团黑龙江有限公司 Determine the method and system of attributed region of mobile terminal
CN102271394A (en) * 2010-06-02 2011-12-07 亿阳信通股份有限公司 Call-record-data-based mobile terminal positioning method and device
JP2012124868A (en) * 2010-12-10 2012-06-28 Ntt Docomo Inc Server, mobile terminal device, system, method, and program

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