CN1610837A - Method for detecting location of mobile terminal - Google Patents
Method for detecting location of mobile terminal Download PDFInfo
- Publication number
- CN1610837A CN1610837A CN02822075.7A CN02822075A CN1610837A CN 1610837 A CN1610837 A CN 1610837A CN 02822075 A CN02822075 A CN 02822075A CN 1610837 A CN1610837 A CN 1610837A
- Authority
- CN
- China
- Prior art keywords
- base station
- point
- incoming level
- value
- portable terminal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0252—Radio frequency fingerprinting
- G01S5/02521—Radio frequency fingerprinting using a radio-map
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0252—Radio frequency fingerprinting
- G01S5/02521—Radio frequency fingerprinting using a radio-map
- G01S5/02524—Creating or updating the radio-map
- G01S5/02525—Gathering the radio frequency fingerprints
- G01S5/02526—Gathering the radio frequency fingerprints using non-dedicated equipment, e.g. user equipment or crowd-sourcing
Abstract
An object of the invention is to determine the location of a mobile terminal as a maximum likelihood estimate value, in a mobile communications system comprising a plurality of base stations, at least one mobile terminal capable of communicating with the base stations, and a center station capable of communicating with the base stations and/or mobile terminal. The probability distribution indicating the variation in the reception level from respective base stations CSi at a plurality of points within a prescribed range in which the mobile terminal has a possibility of being present is determined for these points on the basis of a base station database storing, at the least, positional information for the respective base stations CSi. A likelihood corresponding to the aforementioned probability distribution is determined with respect to the reception level values [gamma]o from the base stations CSi (i = 1 to N) measured by the mobile station, and the point having the greatest likelihood value is determined to be the estimated location of the mobile terminal.
Description
Technical field
The present invention relates to location detecting technology, more specifically relate to the probability of considering the signal incoming level and change the location detecting technology that detects mobile terminal locations such as portable terminals such as mobile radio terminals.
Background technology
In the prior art, for comprising a plurality of base stations, at least one can and the base station sends and the portable terminal of received signal, and the mobile communication system of the central station (control station) of energy and base station and/or mobile station communicate has proposed the technology of identification (detection) mobile terminal locations.
For example, there is a kind of method, wherein the radiowave by portable terminal (for example portable phone) emission is received by the base station, the intensity of radio wave and/or the difference of the time of arrival identification portable terminal that receive according to each base station arrive the distance of base station, and discern the position of portable terminal according to the distance between portable terminal and a plurality of base station.
Further, also there is a kind of method on the contrary, wherein the radiowave by a plurality of base station is received by a portable terminal, arrive the distance of base station according to radio wave intensity and/or the difference of time of arrival identification portable terminal, and discern the position of portable terminal according to the distance between portable terminal and a plurality of base station from each base station.
More specifically, the known example of this method comprises the location recognition method based on curve intersection method, SX method (spheres intersect method), PX method (Plane intersects method) etc.These different technology all are known for those skilled in the art, their details is at (1) Ralph O.Schmidt, " A New Approach to Geometry of Range DifferenceLocation ", IEEE Transactions on Aerospace and Electronic Systems, Vol.AES-8, No.6, November 1972, and (2) Julius O.Smith, Jonathan S.Abel, " Closed-Form Least-Squares Source Location Estimation trom Range-Difference Measurement ", IEEE Transactions on Acoustics, Speech, andSignal Processing, VOL.ASSP-35, No.12 has illustrated among the December 1987.
Summary of the invention
These universal location recognition methodss comprise following problem.For example, in the curve intersection method, owing to must find the solution a nonlinear equation, the computing burden is very big.On the other hand, in SX method or PX method, can draw answer according to linear equation, so they do not relate to this problem of curve intersection method, but these methods are subjected to very big influence of observed result mistake or the like, therefore are difficult to discern the position with enough accuracy.
Also there is following problem.According to the long section variation (longsection variation) that causes owing to range attenuation, because the short section variation (short section variation) that causes of building and owing to move the combination of the transient change that causes in electric field is altered a great deal by the incoming level of portable terminal from the radiowave of base station reception.At this, suppose that short section variation follows predetermined probability distribution, then it is desirable to discern according to maximum Likelihood the position of portable terminal.Yet, in universal method described above, consider short section variation, if or considered, only with it as measuring error, the result is that in either event, maximal possibility estimation is not represented in the position of the portable terminal of determining.
Therefore, target of the present invention is that mobile terminal locations is defined as maximum likelihood estimator, considers trading off between computing burden and the estimated accuracy simultaneously.
Method for detecting position of the present invention is a kind of being used for by a plurality of base stations, the method for detecting position of the mobile communication system of a portable terminal and a control station composition, base station transmit signals wherein, comprise the distinctive number in each base station from signal of base station, portable terminal is from one or more received signals of N base station, measure and store incoming level Г i from i base station, transmit the 1st to N incoming level to control station through communication base station, at control station, according to based on number of base stations, base station coordinates and the previous database that each point is created by the incoming level of the radio wave propagation of measurement or emulation or measurement and emulation acquisition in each base station service areas, and the incoming level of portable terminal transmission is discerned the position of portable terminal, it is characterized in that it comprises step: in whole coverages of each base station, set two dimension or three dimensional network hole shape or mesh shape coordinate points; Corresponding each receives the base station (hereinafter being called " signal reception base station ") of signal, in the estimated value of determining the average received level from each alternative point of described coordinate points, and with this estimated value as mean value, determine the probability density function that this estimated value changes; According to the incoming level of measuring, at given range each signal is received the base station and be divided into the probability density function that alternative point is determined at each alternative dot product; By receiving alternative point is multiplied each other to determine in the base station in the value of each alternative point acquisition likelihood to each signal; And the alternative some detection that will have the maximum likelihood value is the estimated position of portable terminal.
In addition, method of the present invention also comprises step: the base station (being called " signal reception base station " hereinafter) of corresponding each received signal, in the estimated value of determining the average received level from each alternative point of described coordinate points, and with this estimated value as mean value, determine the probability density function of this mean variation; Receiving the incoming level of base station at each alternative point measurement according to each signal, is the probability density function that each alternative point is determined with the incoming level substitution of measuring; By receiving alternative point is multiplied each other to determine in the base station in the value of each alternative some substitution acquisition likelihood to each signal; And the alternative some detection that will have the maximum likelihood value is the estimated position of portable terminal.
Further, method of the present invention also comprises step: the base station (being called " signal reception base station " hereinafter) of corresponding each received signal, in the estimated value of determining the average received level from each alternative point of described coordinate points, and with this estimated value as mean value, determine the probability density function of this mean variation; Receiving the incoming level of base station at each alternative point measurement according to each signal, is the probability density function that each alternative point is determined with the measurement data substitution, and multiplies each other with predetermined value; By receiving alternative point is multiplied each other to determine in the base station in the value of each alternative some substitution acquisition likelihood to each signal; And the alternative some detection that will have the PRML value is the estimated position of portable terminal.
Preferably, can by for each respective base station respectively the parameter of estimation and probability density function and propagation characteristic dependence among equations calculate likelihood.
Preferably, can by for each mesh or each net point respectively the parameter of estimation and probability density function and propagation characteristic dependence among equations calculate likelihood.
Preferably, can be by using propagation characteristic Equation for Calculating likelihood, this propagation characteristic equation has the different probability density function according to a time, a date in week, an annual seasons, traffic density etc., and in these situations, the expectation propagation characteristic is considered building, topographic condition etc.
Preferably, have in the situation of sector constituent in the base station, the orientation angle of coordinate and sector links together, and sets joint probability, wherein the difference between each sector directions angle is as the factor, by the definite likelihood that multiplies each other of the likelihood with joint probability and respective coordinates.
Preferably, according to architecture information or cartographic information, determine long section propagation estimate equation and short section average probability density from the propagation characteristic of building between consideration coordinate and the base station or topographic condition.
Preferably, can set a plurality of estimated positions, in other words, set estimation region, wherein likelihood is greater than certain designated value.
Preferably, can use the propagation delay time but not incoming level.
Method according to establishment database of the present invention is the method that a kind of establishment is used for detecting in mobile communication system the database of mobile terminal locations, this mobile communication system is made up of a plurality of base stations, portable terminal and control station, it is characterized in that, it comprises step: store number of base stations to connect mode each other, base station coordinates, and each point is previous by measuring or emulation in each base station service areas, or by measure and the radio wave propagation incoming level of emulation acquisition as data; According to the data of above-mentioned storage, the incoming level that detects characteristic point and near other points compares, and the measurement incoming level of this point is distinctive; And the propagation characteristic parameter of the corresponding characteristic point that detects of storage.
Further, the method of creating database according to the present invention is the method that a kind of establishment is used for detecting in mobile communication system the database of mobile terminal locations, this mobile communication system is made up of a plurality of base stations, portable terminal and control station, wherein, for determining it is the standard deviation of one of probability density function parameter, use and measure simultaneously a plurality of receiving antennas, create database by order of magnitude sign measuring position by several meters.
Location recognition method according to the present invention is a kind of mobile communication system that is used for, according to the CSi (i=1-N that measures at portable terminal from the base station, N 〉=1) signal incoming level value Г k (CSi) and store the base station data storehouse of the positional information of base station CSi at least, determine the location recognition method of portable terminal estimated position, this mobile communication system comprises a plurality of base stations, the portable terminal of at least one energy and base station communication, the central station of energy and base station and/or communication of mobile terminal, wherein according to the probability distribution of indicating at this point from the signal incoming level variation of base station CSi, for a plurality of points are determined the likelihood score of incoming level value Г k (CSi), and the point that will have a maximum likelihood value is defined as the estimated position of portable terminal.
Location recognition method according to the present invention is a kind of mobile communication system that is used for, according to measure at portable terminal from base station CSi (i=1-N, N 〉=1) signal incoming level value Г k (CSi) and store the base station data storehouse of the positional information of base station CSi at least, determine the location recognition method of portable terminal estimated position, this mobile communication system comprises a plurality of base stations, the portable terminal of at least one energy and base station communication, and the central station of energy and base station and/or communication of mobile terminal, this method comprises: set the first step of portable terminal approximate location scope, set second step of a plurality of representative point Xs (s=1-M) in the approximate location scope; According to obtain by inquiry above-mentioned base station data storehouse between representative point Xs and base station CSi (Xs CSi), determines to be illustrated in the probability density function Ps (γ that representative point Xs changes from the incoming level of base station CSi apart from d
i) third step; By equation jp
s(γ)=Ps (γ
1) * Ps (γ
2) * ... * Ps (γ
N) determine joint probability density function jp
sThe 4th step (γ); Determine corresponding joint probability density function jp
s(γ) the probability distribution likelihood score Ls (jp of appointment
s(γ) | Г k) the 5th step; And determine to have maximum likelihood value Ls (jp
s(γ) | Г k) representative point Xs
*The 6th step as the portable terminal estimated position.
Position-recognizing system according to the present invention be a kind of be used to discern can and the mobile terminal locations recognition system of the mobile terminal locations of a plurality of base station communications, comprise central station, its have according to portable terminal measure from base station CSi (i=1-N, N 〉=1) signal incoming level value Г k (CSi) determines the function of portable terminal estimated position, also have and store the base station data storehouse of the positional information of base station CSi at least, central station also comprises device or the function that is used to carry out according to location recognition method of the present invention.
According to program of the present invention, it is characterized in that, it make method for detecting position of the present invention each respectively step can in computing machine, carry out.Can pass through dissimilar storage mediums according to program of the present invention, for example CD-ROM, disk, semiconductor memory etc. are packed into or are written into computing machine.
In addition, in this explanation, " device " not only represents physical equipment, the situation that the function that also comprising is provided by described device realizes by software.In addition, the function of a device can realize that the function of two or more devices can realize by a physical unit by two or more physical units.
Brief Description Of Drawings
Fig. 1 is the figure that is presented at the structure of the mobile communication system in the first embodiment of the invention;
Fig. 2 is the block diagram of display centre station functional structure;
Fig. 3 is the figure that shows base station data database data structure;
Fig. 4 is a process flow diagram of describing the position identification device processing sequence;
Fig. 5 is described in the figure that revises the base station data database data structure in the example;
Fig. 6 is described in the figure that revises the base station data database data structure in the example;
Fig. 7 is the figure that is described in base station location configuration in the experiment;
Fig. 8 is the figure that describes simulation result;
Fig. 9 is the figure that describes simulation result;
Figure 10 is the figure that describes simulation result;
Figure 11 is the figure that describes simulation result;
Figure 12 is the figure that describes the result who obtains according to measurement data;
Figure 13 is the figure that describes the result who obtains according to measurement data;
Figure 14 is the figure that describes the characteristic point example;
Figure 15 is the figure that describes the characteristic point example;
Figure 16 is the figure that describes the characteristic point example;
Figure 17 is the figure that describes the characteristic point example;
Figure 18 is the figure that describes the characteristic point example;
Figure 19 is the figure that describes the characteristic point example;
Figure 20 is the figure that describes the characteristic point example; With
Figure 21 is the figure that describes the characteristic point example.
Embodiment
(first embodiment)
Below, embodiments of the invention will be described with reference to the accompanying drawings.
Fig. 1 is the concept map that shows the mobile communication system composition that forms first embodiment of the invention.The element of this system has: portable terminal 10, and a plurality of base station CS, thus communicate by letter with portable terminal 10, and central station (control station) 90, thereby communicate by letter with base station CS.
Usually, portable terminal 10 and base station CS have the identical function ingredient of the universal mobile telecommunications system of being made up of PHS (portable phone or analog).For example, when sending signal, base station CS has the unique sign ID that has in this base station (identification information) is covered function in the wireless signal or other similar functions.In addition, portable terminal 10 has reception from base station CSi (i=1-N wherein; N is the number of base station that can communicate by letter with portable terminal 10; The function of radiowave N 〉=1), and can measure and store it incoming level Г o (Г 1o, Г 2o ... Г
NO) (dB) etc.
Base station CS is included in (coverage, control area; Be called " zone or sub-district " hereinafter) interior portable terminal 10, or the base station CS that communicates by letter with portable terminal 10, above-mentioned from portable terminal 10 receptions from the 1st incoming level Г i0 to N base station, and send it to central station 90.Also may adopt a kind of like this structure, wherein incoming level Г io directly sends to central station 90 from portable terminal 10, and without the base station.
The functional component at Fig. 2 display centre station 90.As shown in Figure 2, central station 90 comprises at least, base station data storehouse 91, and the positional information that is used to store base station CS, and position identification device 92 are used to discern the position of portable terminal 10, and therefore provide the position-recognizing system function for it.
Though in Fig. 2, do not show, central station 90 comprises also that except that above-mentioned the standard feature ingredient that is provided in the universal mobile telecommunications system central station (for example, transmit a signal to base station and portable terminal and from the function of base station and portable terminal received signal, the function that shows specific mobile terminal locations, transmit a signal to the user of use location information and from function of user's received signal of use location information etc.).
With regard to the physics aspect, central station 90 can be made up of special station, or is made of the general information treating apparatus.For example, central station 90 can be equipped with processing unit by in the signal conditioning package of common ingredient, input media, memory storage and output unit, the software of operating provisions various process (function separately for example, and according to location recognition method of the present invention etc.) is realized.
The positional information (for example latitude and longitude) of the base station CSi consistent with Base Station Identification ID is stored in base station data storehouse 91 at least, can also use the base station data storehouse of universal mobile telecommunications system to be used for same purpose.This database is also stored address, base station, output (Effective Radiated Power), antenna height, propagation characteristic (in this and the propagation characteristic parameter alpha hereinafter described etc.).Fig. 3 (a) shows base station data database data example of structure.
The position that portable terminal is discerned in radiowave incoming level Г io and the base station data storehouse 91 from base station CSi that position identification device 92 is measured according to portable terminal 10.Below, the processing procedure of implementing according to the flowchart text position identification device 92 of Fig. 4.Available any different order is carried out each step, as long as do not cause contradiction in the processing procedure of carrying out.
(first example)
At step S100, set the approximate location scope of portable terminal 10.The approximate location scope is represented the big zone that portable terminal 10 may occur, this approximate location scope for example can be set to, the position registration area of portable terminal 10 (general paging domain), or and portable terminal 10 set up the zone or the sub-district of the BTS management of telecommunication circuit.In addition, the approximate location scope also can be set to its incoming level or be higher than around the base station of designated value.
The approximate location scope also can be set to 3D region, and is not only 2 dimensional region.In addition, the method for setting the approximate location scope is not limited to above-mentioned, can determine the shape, width etc. of approximate location scope according to system design.
At step S101, in above-mentioned approximate location scope, set a plurality of assumed position Xs (s=1-M wherein for portable terminal; M is the number of assumed position).Assumed position is the point of reference that is formed for discerning the position of portable terminal 10.A kind of method of setting assumed position comprises, for example, the approximate location scope is divided into two dimension or three dimensional network (grid) shape, and sets assumed position in each grid point.Can set the mesh size according to system design (depending on trading off between location recognition precision and the computing burden), be appreciated that to be set to 5 meters units 10 meters units, or 100 meters units.
Can be by before whole zone, each base station or microzonation being divided into two dimension or three dimensional network hole shape (mesh shape) setting assumed position.In this example,, select a plurality of assumed position Xs that before in the approximate location scope, set at step S101.
Therefore, the assumed position Xs for above-mentioned each setting carries out in the likelihood computing of step S102 to S106.
At step S102, from the CSi of base station, select a plurality of base station CSj, and the distance between reference base station database 91 calculation base station CSj and the assumed position Xs (Xs, CSj).Here, can determine to select the mode of base station CSj, for example from the CSi of base station, select to specify number the base station of (for example about 1 to 10) according to the order of the highest incoming level Г io according to system design.On the other hand, also may adopt a kind of combination, wherein select to measure all base station CSi of incoming level Г io.In general, the number of base stations of selection is many more, and the precision of the position of identification is high more.In the following description, suppose all base station CSi of selection.
At step S103, according between base station CSi and the assumed position Xs apart from d (Xs, CSi) the average received level Г im that calculates at assumed position Xs from base station CSi (Xs, CSi).(Xs CSi), supposes to grow section variation and follows the Okumura curve can to calculate average received level Г im according to following propagation characteristic equation (1).
Г
im(Xs，CSi)＝A
i-10α
i×log(d(Xs，CSi))[dB] (1)
At this, A
iBe the incoming level when distance is unit distance (for example 1 meter), α
iIt is antenna factor.
According to the Effective Radiated Power that is stored in the base station data storehouse 91, antenna height etc. can be respectively each base station and determine parameter A
iMore accurately, can determine parameter A according to the antenna sensitivity of portable terminal
iCan also pre-determine parameter A
i, and with its as the propagation characteristic information stores in the base station data storehouse, at Fig. 3 (a) etc., show.
According to radio-wave reflection, shielding and diffraction (hereinafter being called " reflection etc. ") value by obtaining based on base station ambient conditions emulation with reference to three-dimensional map information, or according to measured value, or according to simulation value and measured value, for each base station independently pre-determines parameter alpha
iDesirably, with predetermined value α
iAs the propagation characteristic information stores in the base station data storehouse, shown in Fig. 3 (a).
Desirably, determine parameter A respectively for each base station
iAnd α
i, common parameter value A, the combination of α are used in all base stations but also can adopt.In addition, also can use not to be the Okumura curve's equation, in such example, determine parameter according to the equation that adopts as the propagation characteristic equation.
At step S104, probability density function P
Xs(Г
i) indication is the short section variation from the incoming level of base station CSi of assumed position Xs (in other words, with assumed position Xs as parameter).Can calculate P from following equation (2)
Xs(Г
i).
At this, as shown in equation (2), in current embodiment, short section variation is followed decibel-normal and is distributed.The standard deviation that the corresponding decibel-normal of element σ in the equation (2) distributes is determined this value according to system design simultaneously, can select 4-6dB.
Follow another probability distribution and can set equation (2) by supposing short section variation.
At step S105, determine joint probability density function jp at assumed position Xs according to equation (3) subsequently
Xs(Г), suppose that the variation from the incoming level of each base station is independently,
jp
xs(Г)＝P
xs(Г
1)×P
xs(Г
2)×......×P
XS(Γ
N) (3)
At step S106, be incoming level value Γ o=(Г
1o, Г
2o... Г
No) determine that correspondence is by joint probability density function jp
Xs(Г) the likelihood value L of the probability distribution of appointment
Xs(Г
1o, Г
2o... Г
No).Likelihood value L
Xs(Г
1o, Г
2o... Г
No) can use differential value Δ Г to calculate according to following equation (4).
At this, in equation (4), the element P on the right side
1..., P
NCorresponding indication is from base station CS
1... CS
NThe probability density function P in the short section variation of the incoming level of assumed position Xs
Xs(Г
1) ..., P
Xs(Г
N).
Because P
i(Г) be a probability density function, the integration that each element in equation (4) left side partly forms, it has the value between 0 to 1, therefore, by they multiply each other likelihood value L of expression
Xs(Г
1o, Г
2o... Г
No) also will have a value between 0 to 1.In addition, can obtain the integral approach value by probability density value and 2 * Δ Г are multiplied each other.
Calculating likelihood score L for all assumed position batch totals
Xs(Г
1o, Г
2o... Г
No) afterwards, program proceeds to step S107.
At step S107, from S=1-M, select to have maximum likelihood degree L
Xs(Г
1o, Г
2o... Г
No) the S value (hereinafter, Xuan Ding S is called S
*), and specify Xs
*Estimated position for portable terminal.
Because the joint probability density function of each assumed position does not depend on the incoming level Г of measurement usually
i, therefore can pre-determine.
(revising 1)
In first example, constitute in this way and handle, consider because the difference of each base station location condition is used the propagation characteristic equation of independently setting for each base station in step S103.
Yet, because atmospheric conditions, and the condition of reflection, diffraction etc. for example, with Time of Day, the date in week, wait variation throughout the year, be appreciated that owing to these conditions, even also can change in the same base propagation characteristic.The traffic density of vehicle etc. influences propagation characteristic equally.In addition, the appearance of the building between each assumed position and base station etc., and the topographic condition between them etc. influences propagation characteristic equally.
Therefore, in first revises, adopting a kind of formation, wherein is that store in base station data storehouse 91 at least and one of relevant a plurality of propagation characteristic parameter alpha such as temporal information (for example a time, a date in week, season etc.), traffic density, assumed position etc. each base station
i(and/or parameter A
i) (referring to Fig. 5).Can be according to for example with reference to three-dimensional map information, the radio-wave reflection equivalence that obtains by emulation, or according to the measured value of incoming level based on the base station ambient conditions, or independently pre-determine α according to simulation value and measured value
i(and/or A
i) each value.
In addition, the following composition of the step S103 in position identification device 92.That is, when estimating, obtain temporal information or transport information at least from the interior arrangement of central station 90 or from external device (ED).By consult that base station data storehouse 91 reads so obtain to propagation characteristic parameter alpha that should information
i(and/or A
i), and/or assumed position Xs, the α that reads
i(and/or A
i) value is used for determining Г according to equation (1)
Im(Xs, CSi).Identical in other steps and first example.
Like this, obtain a kind of composition, wherein can select and use propagation characteristic, therefore can further improve the location recognition precision according to temporal information (for example a Time of Day, all certain skies, an annual seasons etc.), traffic density, assumed position etc.
(characteristic point)
At this, when in the base station data storehouse 91 stored propagation characteristic parameter alpha relevant with assumed position
i(and/or parameter A
i) time, desirably, except that each net point of the mesh of dividing the approximate location scope as mentioned above, as the characteristic point of giving a definition also is selected as assumed position.
Characteristic point can be interpreted as measurement point, because by such as around the shape of the building of measurement point and it about the condition influence of the relative position of base station and the generation of the complicated electric wave propagation characteristic that causes, when the measurement data that relatively receives, the incoming level of this point with it near the measurement data of measurement point obviously different.
In the present invention, adopt a kind of like this structure, wherein by determine to measure the likelihood score of incoming level according to the probability density function of indicating the short section variation of incoming level at each assumed position, thereby recognizing site, therefore by selecting to show that the characteristic point that is different from electric wave propagation characteristic on every side and different probability density function as assumed position, can reduce the location recognition error.
Therefore, in the preferred embodiments of the present invention of having considered characteristic point, create base station data storehouse 91 by a kind of database initialize method, the method comprising the steps of: in the mode that connects each other, storage number of base stations (Base Station Identification ID), base station coordinates (positional information of base station CSi), and the radio wave propagation incoming level that had before obtained by measurement or emulation or measurement and the each point of emulation in each base station service areas; According to above-mentioned storage data, detect characteristic point, measure incoming level at this characteristic point, near with other some incoming level relatively the time this incoming level obviously different; And storage is corresponding to the propagation characteristic parameter alpha of the characteristic point that detects
i(and/or parameter A
i).
For example, can in the situation of city landform, imagine the following pattern of characteristic point.1) near the building gap of predetermined distance (for example 2-3 rice); 2) near the edge between building and the local open space (open parking ground is removed and built the white space stay etc.); 3) before the building, after building is more leaned near comparing; 4) be arranged in the point that low groups of building are subjected to high building shielding or reflections affect; 5) be arranged near high building group's the low building; 6) near erose big building; 7) compare point (for example infall) with near point with better radio transparency; 8) near the building of building (for example steel and wood have the building of reflecting surface wall, and glass covers and the ceramic tile covered structure) with different materials; Deng.
Below, a kind of method that detects characteristic point in above pattern according to the measurement incoming level is described.
In first kind of pattern, shown in Figure 14 A, measure incoming level at point 304,107,108.When a certain ad-hoc location of eminence is overlooked, this figure has shown the relative position of building and road with rectilinear form (use same procedure to following Figure 15 etc.).At each point, can be from least three base station A-150, A-210, A-270 received signal.Figure 14 B is presented at each incoming level that receives from each base station.At this, owing to point 304,107 and 108 is close mutually, usually, they show similar trend in its incoming level, but in fact, the incoming level from base station A-270 at point 304 is 55.1dBuV/m, greater than the derived value 45dBuV/m from expecting in other incoming levels trend.This is considered to owing to the gap of point 304 between building takes place, and therefore, incoming level increases according to putting improved radio observability compared to other.According to the method for establishment database of the present invention, point 304 is detected as characteristic point, is stored in a little 304 propagation characteristic parameter alpha
iDeng, so that as assumed position.
In second pattern, measure incoming level at the point 308,175 shown in Figure 15 A and 176.At each point, can be from least three base station A-330, A-30, A-90 received signal.Figure 15 B is presented at each incoming level that receives from each base station.At this, owing to point 308,175 and 176 is close mutually, usually, they show similar trend in its incoming level, but in fact, the incoming level from base station A-330 at point 308 is 39.7dBuV/m, less than the derived value 55dBuV/m from the expectation of other incoming levels trend.This is considered to because point 308 between building and open space, therefore by architectural shielding, thereby has reduced its incoming level.
In the third pattern, measure incoming level at the point 306,127 shown in Figure 16 A and 128.At each point, can be from least three base station A-180, A-240, A-300 received signal.Figure 16 B is presented at each incoming level that receives from each base station.At this, owing to point 306,127 and 128 is close mutually, usually, they show similar trend in its incoming level, but in fact, the incoming level from base station A-300 at point 306 is 43.4dBuV/m, is higher than from the derived value 35-40dBuV/m of other incoming levels trend expectation.This is considered to therefore reduce screening effect because point 306 is positioned at before the building after more more leaning on adjacent architectural, has increased incoming level.
In the 4th kind of pattern, measure incoming level at the point 359,144 shown in Figure 17 A and 145.At each point, can be from least three base station A-270, A-330, A-30 received signal.Figure 17 B is presented at each incoming level that receives from each base station.At this, owing to point 359,144 and 145 is close mutually, usually, they show similar trend in its incoming level, but in fact, the incoming level from base station A-30 at point 359 is 78.3dBuV/m, is higher than from the derived value 70dBuV/m of other incoming levels trend expectation.This is considered to owing to be positioned at high building reflection in the low groups of building at point 359 radiowave, thus incoming level be higher than directly the point 144 under this building or with the incoming level of building the point 145 that separates.
In the 5th kind of pattern, measure incoming level at the point 356,221 shown in Figure 18 A and 224.At each point, can be from least three base station A-30, A-90, A-150 received signal.Figure 18 B is presented at each incoming level that receives from each base station.At this, owing to point 356,221 and 224 is close mutually, usually, they show similar trend in its incoming level, but in fact, the incoming level from base station A-150 at point 356 is 40.4dBuV/m, is higher than from the derived value 35dBuV/m of other incoming levels trend expectation.This is considered to therefore reduce screening effect, thereby improved incoming level because point 356 is arranged in before the low building that is in the high building group.
In the 6th kind of pattern, measure incoming level at the point 346,29 shown in Figure 19 A and 30.At each point, can be from least three base station A-30, A-90, A-150 received signal.Figure 19 B is presented at each incoming level that receives from each base station.At this, owing to put 346,29 and 30 is close mutually, usually, they show similar trend in its incoming level, but in fact, point 346 from base station A-30, the incoming level of A-150 is 75.2dBuV/m and 74.7dBuV/m, is higher than from the derived value 70dBuV/m of other incoming levels trend expectation.This is considered to therefore improve incoming level because point 346 is subjected to the influence of extensive irregularly shaped building.
In the 7th kind of pattern, measure incoming level at the point 310,200 shown in Figure 20 A and 201.At each point, can be from least three base station A-30, A-90, A-150 received signal.Figure 20 B is presented at each incoming level that receives from each base station.At this, owing to point 310,200 and 201 is close mutually, usually, they show similar trend in its incoming level, but in fact, the incoming level from base station A-90 at point 310 is 51.8dBuV/m, is higher than from the derived value 47dBuV/m of other incoming levels trend expectation.This is considered to therefore improve incoming level because point 310 is subjected to the influence of extensive irregularly shaped building.
In the 8th kind of pattern, measure incoming level at the point 343,358 shown in Figure 21 A and 6.At each point, can be from least three base station A-120, A-180, A-240 received signal.Figure 21 B is presented at each incoming level that receives from each base station.At this, owing to point 343,358 and 6 is close mutually, usually, they show similar trend in its incoming level, but in fact, the incoming level from base station A-180 at point 343 is 58.3dBuV/m, is higher than from the derived value 53dBuV/m of other incoming levels trend expectation.This be considered to since point 358 be positioned at different materials (building) building with reflecting surface wall near, therefore because the reflection of reflecting wall has improved incoming level.
(revising 2)
In first example, form in this way and handle, all base station CSi are used public standard deviations (variances sigma at step S104
2).
Yet the short section variation of incoming level is not always followed the probability distribution of identical fluctuation, if the changes such as surrounding environment of base station, the possibility that fluctuation also can change is very big.
Therefore, in this second correction, constitute in this way and handle, use the standard deviation of independently setting into each base station
iDetermine probability density function P
Xs(Г
i), thereby with the different situation compatibility of short section variation fluctuation of each base station.
Can set the standard deviation of each base station according to system design, also possible independent estimations also preestablishes standard deviation, for example, according to the radiowave that derives from the base station surrounding environment and with reference to the simulation value of reflection of three-dimensional map information etc., or according to the measured value of lacking section variation, or not only according to simulation value but also according to measured value, with the propagation characteristic parameter alpha
iSimilar mode etc.Therefore standard deviation of setting and base station association store (referring to Fig. 3 (b)) in base station data storehouse 91 together.
In this second embodiment, by following composition of step S104 of position identification device 92 enforcements.Consult base station data storehouse 91 and read the standard deviation of respective base station CSi
iTherefore, determine probability density function P according to equation (5) subsequently
Xs(Г
i).Identical in other steps and first example.
With the propagation characteristic parameter alpha in first correction
iSimilar, can adopt a kind of composition mode, be a plurality of σ of each base station stored wherein according to one of (referring to Fig. 6) such as temporal information, traffic density, assumed positions at least
iValue.If storage is about a plurality of σ of assumed position
iValue desirably, uses a plurality of receiving antennas to measure incoming level simultaneously, according to the measured value of short section variation, create database by by the magnitude of rice the measuring position being divided.In this example, by using α
iThe σ of equivalent and corresponding assumed position
iDetermine probability density function P
Xs(Г
i), can determine to have considered the probability density function P that building etc. between assumed position and base station or topographic condition exist
Xs(Г
i).
Like this, by adopting the composition mode of using the standard deviation value of independently setting for each base station, can improve the location recognition precision.
(revising 3)
In first example,, determine likelihood score L according to the joint probability density function of the expression of multiplying each other by each base station probability density function at step S106
Xo(Г
1o, Г
2o... Г
No).
In some instances, depend on the base station, by the service orientation antenna with the zone or divide into a plurality of sectors (for example 3 120 ° of sectors or 6 60 ° of sectors) for a short time, thereby increase frequency efficiency and channel number.By adopting this minute sector, can give the limited channel of each sector dynamic assignment, thereby in big professional qualification situation, allow the efficient channel of service set sector is distributed and use.Form if the base station has the sector of this mode, then the incoming level from the base station will depend on the sector directions angle.
Therefore, in this 3rd correction, form, then form in this way and handle, consider that simultaneously likelihood score is determined in the influence of the orientation angle of sector if the base station has the sector.More specifically, constitute by the step S106 of position identification device 92 enforcements is following.Determine joint probability, this joint probability is to connect assumed position Xs and the line of base station and the function of the angular displacement between the sector directions angle, this joint probability and the L that determines according to first example
Xs(Г
1o, Г
2o... Г
No) value multiplies each other, multiplied result is as new L
Xs(Г
1o, Г
2o... Г
No) value.The same in other steps and first example.
Like this, by when determining likelihood score, adopting the composition mode of considering the influence of sector directions angle, can further improve the location recognition precision.
(revising 4)
In first example, at step S107, select to have the assumed position of maximum likelihood degree, and it is designated the position of portable terminal.
Yet, sometimes, the very outstanding situation of likelihood score of an assumed position is not always only arranged, but, for a plurality of assumed positions are determined similar likelihood value.In this case, as can be seen, selection has the feasible recognizing site more positively of an assumed position of only selecting to have the maximum likelihood degree greater than a plurality of assumed positions ratios of the likelihood score of predetermined threshold.
Therefore, in the 4th revises, constitute by the step S107 of position identification device 92 enforcements is following.Selection has the likelihood value L above predetermined threshold
Xs(Г
1o, Г
2o... Г
No) a plurality of assumed positions, determine estimation region according to a plurality of assumed positions of selecting, this estimation region is designated the position of portable terminal 10.Identical in other steps and first example.
The method of the definite estimation region that can expect comprises and for example estimation region is set at the border circular areas with least radius, it comprises a plurality of assumed positions that all are selected, or estimation region is set at have predetermined radii, be the border circular areas in the center of circle with the mean place of a plurality of selected assumed positions.When having determined estimation region, desirably, should get rid of those selected assumed positions away from mean place etc.
(experimental result)
The following describes the result of application according to location recognition method of the present invention.At this, suppose that the mean value that uses three observed values is as measured value because the multipath effect in the portable terminal is observed three waveforms simultaneously to each measurement.
(simulation result 1)
Find that by the emulation of carrying out location recognition method of the present invention under the following conditions likelihood score distributes.
(1) the propagation characteristic parameter is considered as common features to all base stations, A=130, α=3.4.
(2) suppose to lack section variation and follow the decibel-normal distribution, its standard deviation is general to all base stations, has value α=6 (dB).
(3) according to the cellular model distributed base station, radius of society is 500m, and number of base stations is 19 (referring to Fig. 7).
(4) portable terminal is positioned at the centre of center cell.
(5) the approximate location scope of setting at step S100 is taken as center cell.
Fig. 8 shows according to the present invention, selects 1-3 base station to distribute as the likelihood score of determining under the situation of base station CSj.In this figure, BS represents the base station, and MS represents portable terminal, and the height of three-dimensional plot is represented likelihood score.As can be seen from the figure, when number of base stations increased, the trend that likelihood distributes tilted to increase.This means that number of base stations is many more, possibility that can more accurate identification mobile terminal locations is big more.If in the situation of three base stations, will have the estimated position of the assumed position of maximum likelihood degree, will cause the evaluated error of 11m as portable terminal.
(simulation result 2)
Find the likelihood score error by the emulation of carrying out location recognition method of the present invention under the following conditions.
(1) the propagation characteristic parameter is considered as common features to all base stations, A=130, α=3.4.
(2) suppose to lack section variation and follow the decibel-normal distribution, its standard deviation is α=6 (dB) in situation 1 to all base stations, only center cell is had value α=6 (dB) in situation 2, and other sub-districts are α=4 (dB).
(3) according to the cellular model distributed base station, radius of society is 500m, and number of base stations is 19 (referring to Fig. 7).
(4) according to evenly distributing, portable terminal is positioned at center cell, produces 500 groups of measurement data.
(5) the approximate location scope of setting at step S100 is taken as center cell.
Fig. 9 shows when selecting 3-10 base station as base station CSj, the evaluated error in situation 1 and situation 2.At this, evaluated error is to be the evaluated error of 0.67 point in accumulated probability.As can be seen from the figure, number of base stations is many more, and the precision of recognizing site is high more, and by in the sub-district that is not center cell the σ value being set at than low value, it is higher that the precision of recognizing site can become.
(simulation result 3)
Carry out emulation under the following conditions, and compare evaluated error according to location recognition method of the present invention and SX method.
(1) the propagation characteristic parameter is considered as common features to all base stations, A=130, α=3.4.
(2) suppose to lack section variation and follow the decibel-normal distribution, its standard deviation is general α=6 (dB) to all base stations.
(3) according to the cellular model distributed base station, radius of society is 500m, and number of base stations is 19 (referring to Fig. 7).
(4) according to evenly distributing, portable terminal is positioned at center cell, produces 500 groups of measurement data.
(5) the approximate location scope of setting at step S100 is taken as center cell.
Figure 10 shows that 3 to 10 base stations of selection are as each the method evaluated error under the situation of base station CSj.At this, evaluated error is to be the evaluated error of 0.67 point in accumulated probability.In addition, Figure 11 shows under 3 or 4 situations of base station as base station CSj of selection, the relation between each method evaluated error and accumulated probability.As can be seen, location recognition method according to the present invention makes the position that must discern have higher precision than SX method from these figure.
(based on the result of measured value)
At this, according to the data of in following condition, measuring, the result of the universal method that display application location recognition method of the present invention and non-hypothetical probabilities distribute.
(1) measures the date: May 11 calendar year 2001
(2) measuring position: at Hon-machi, near 45 positions the Chuo-ku, Osaka.
(3) measure details: measure incoming level, measure altogether 448 times (approximate each position 10 times) from the radiowave of peripheral base station.
Figure 12 shows in three situations of base station as base station CSj of selection, the relation between each method evaluated error and accumulated probability.In addition, Figure 13 shows the details according to the result of location recognition method of the present invention.From this figure, as can be seen, say that with regard to measurement data location recognition method according to the present invention can make the position that will discern have the precision of higher degree than universal method.
(second embodiment)
Below, the second embodiment of the present invention will be described.Second embodiment comprises storage medium, is used for the memory location recognizer.Can be with CD-ROM, disk, semiconductor memory or other media as this storage medium.From storage medium, read the location recognition program in data processing equipment, and the operation of control data treating apparatus.Under the control of position trace routine, data processing equipment carry out at least with first embodiment in the identical processing of position identification device 92 of central station.
(other embodiment)
The invention is not restricted to the embodiments described, also may be used in the different corrections.For example, in the above-described embodiments, adopt in the composition mode of portable terminal 10 measurements, but can also adopt in the composition mode of base station measurement from the incoming level of the radiowave of portable terminal from the incoming level of the radiowave of base station.In this example, parameter A and α, the standard deviation of short section variation etc. are formed definite according to the function of portable terminal.
In addition, in the above-described embodiments, adopt the composition mode of calculating likelihood score according to incoming level, but can also adopt according to time delay but not incoming level calculates the composition mode of likelihood score.
In addition, in above embodiment, for example,, can also adopt at portable terminal (or base station) and carry out the composition mode of handling that detects in the position of central station detection portable terminal.In this example, portable terminal (or base station) can comprise the base station data storehouse, or the mode in available energy visit base station data storehouse comprises at least.
According to the present invention, because at each assumed position, suppose for probability distribution from the short section variation of the radiowave incoming level of base station, the likelihood score of the incoming level measured value that corresponding portable terminal is measured is determined according to probability distribution, and the assumed position that will have the maximum likelihood value is appointed as the position of portable terminal, follow the hypothesis of probability distribution according to lacking section variation, the position of portable terminal can be defined as maximum likelihood estimator.
In addition, owing to can improve the location recognition precision by setting little mesh size, otherwise can reduce the number of assumed position to be processed, reduced computation burden by setting big mesh size thus, by adjusting mesh size, can obtain the compromise flexible control between computation burden and positional precision.
Whole instructionss that openly comprise of the Japanese patent application 2001-270217 that submit to September 6 calendar year 2001, claim, accompanying drawing and summary, by reference that it is all incorporated at this.
Claims (14)
1. method for detecting position that is used for mobile communication system, described mobile communication system is by a plurality of base stations, portable terminal and control station are formed, in this system, base station transmit signals, in from described signal of base station, comprise the distinctive number in each base station, the one or more receptions described signal of portable terminal from N base station, measure and store incoming level Γ i from i base station, transmit the 1st to N incoming level to control station through communication base station, at control station, according to based on number of base stations, base station coordinates and the previous database that each point is created by the incoming level of measuring or radio wave propagation emulation or measurement and emulation obtain in each base station service areas, and the incoming level that sends of portable terminal is discerned the position of portable terminal, described method for detecting position is characterized in that it comprises step:
Bidimensional or three dimensional network hole shape or mesh shape coordinate points are set in whole coverage in each base station;
At each alternative point from described coordinate points, the estimated value of average received level is determined in corresponding each base station (being called " signal reception base station " hereinafter) that receives described signal, and with described estimated value as mean value, determine the probability density function of described mean variation;
In given range,,, each signal is the definite described probability density function integration of described alternative point each described alternative naming a person for a particular job for receiving the base station according to described measurement incoming level;
By at each described alternative point, the described value that obtains for each signal reception base station integration is multiplied each other, determine the likelihood score of alternative point; With
The alternative point that will have the maximum likelihood value detects and is the estimated position of portable terminal.
2. method for detecting position according to claim 1 is characterized in that, comprises step:
At each alternative point from described coordinate points, definite correspondence respectively receives the average received level estimated value of the base station (being called " signal reception base station " hereinafter) of described signal, described estimated value as mean value, and is determined the probability density function of described mean variation;
According at the described incoming level of each alternative point, be the described probability density function that each alternative point is determined with the substitution of described measurement incoming level for each signal reception base station measurement;
By at each described alternative point, will multiply each other by the described value that the replacement of each signal reception base station is obtained, determine the likelihood score of described alternative point; With
The alternative point that will have the maximum likelihood value detects and is the estimated position of portable terminal.
3. method for detecting position according to claim 2 is characterized in that, comprises step:
At each alternative point from described coordinate points, definite correspondence respectively receives the average received level estimated value of the base station (being called " signal reception base station " hereinafter) of described signal, described estimated value as mean value, and is determined the probability density function of described mean variation;
According at each alternative point for each signal receives the described incoming level of base station measurement, be the definite described probability density function of each alternative point with the measurement data substitution, thereby and will multiply each other by the value that designated value obtains;
By at each described alternative point, will receive the value that the replacement of base station obtains by described each signal and multiply each other, determine the likelihood score of described alternative point; With
The alternative point that will have the maximum likelihood value detects and is the estimated position of portable terminal.
4. method for detecting position according to claim 1 is characterized in that, by being the parameter of each respective base station independent estimations and probability density function and propagation characteristic dependence among equations, calculates likelihood score.
5. method for detecting position according to claim 1 is characterized in that, by being the parameter of each mesh or each net point independent estimations and probability density function and propagation characteristic dependence among equations, calculates likelihood score.
6. method for detecting position according to claim 1, it is characterized in that, the propagation characteristic equation that has the different probability density function according to uses such as a Time of Day, a date in week, an annual seasons, traffic densities calculates likelihood score, in these situations, the expectation propagation characteristic is considered building and topographic condition etc.
7. method for detecting position according to claim 1, it is characterized in that, have in the base station under the situation of sector ingredient, coordinate and sector directions angle link together, set joint probability, its factor is the difference between each sector directions angle, and multiplies each other to determine likelihood score by the likelihood value with described joint probability and corresponding described coordinate.
8. method for detecting position according to claim 1, it is characterized in that, according to architecture information or cartographic information, determine that from the propagation characteristic of considering building between described coordinate points and the base station or topographic condition long section propagates estimate equation and lack section average probability density.
9. method for detecting position according to claim 1 is characterized in that, a plurality of estimated positions detection that likelihood score is higher than a designated value is estimation region.
10. method for detecting position according to claim 1 is characterized in that, uses the propagation delay time to replace incoming level.
11. a computer-readable recording medium stores and is used to make computing machine to carry out the position probing program of method for detecting position according to claim 1.
12. a position probing program is used to make computing machine to carry out method for detecting position according to claim 1.
13. a method that is used to create database, described database are used for detecting in mobile communication system the position of portable terminal, described mobile communication system is made up of a plurality of base stations, portable terminal and control station, it is characterized in that, described method comprises step:
In the mode that connects each other, number of base stations, base station coordinates and previous in each base station service areas each are stored as data by incoming level of measuring or radio wave propagation emulation or measurement and emulation obtain;
According to described storage data, detect characteristic point, when with near the incoming level of other points relatively the time, be unique at the incoming level of this point measurement; With
Store the propagation characteristic parameter of corresponding described detection characteristic point.
14. an establishment is used for detecting in mobile communication system the method for the database of mobile terminal locations, described mobile communication system comprises a plurality of base stations, portable terminal and control station, it is characterized in that, in order to determine standard deviation as a parameter of probability density function, use and measure simultaneously a plurality of receiving antennas, create database by magnitude sign measuring position with rice.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2001270217 | 2001-09-06 | ||
| JP270217/2001 | 2001-09-06 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN1610837A true CN1610837A (en) | 2005-04-27 |
Family
ID=19095901
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN02822075.7A Pending CN1610837A (en) | 2001-09-06 | 2002-09-06 | Method for detecting location of mobile terminal |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN1610837A (en) |
| WO (1) | WO2003023443A2 (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102196557A (en) * | 2010-03-19 | 2011-09-21 | 微软公司 | Selecting beacons for location inference |
| CN101720130B (en) * | 2008-10-09 | 2012-10-03 | 电信科学技术研究院 | Method and device for allocating physical resource blocks |
| CN101390311B (en) * | 2006-02-28 | 2012-11-07 | 微软公司 | Determining physical location based upon received signals |
| CN108934032A (en) * | 2017-05-24 | 2018-12-04 | 中国移动通信集团设计院有限公司 | Indoor ceiling aerial localization method and device |
| CN110839279A (en) * | 2019-10-21 | 2020-02-25 | 深圳数位传媒科技有限公司 | Intelligent terminal positioning method and device based on 5G signal |
Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7346338B1 (en) | 2003-04-04 | 2008-03-18 | Airespace, Inc. | Wireless network system including integrated rogue access point detection |
| US7342906B1 (en) | 2003-04-04 | 2008-03-11 | Airespace, Inc. | Distributed wireless network security system |
| US7453840B1 (en) | 2003-06-30 | 2008-11-18 | Cisco Systems, Inc. | Containment of rogue systems in wireless network environments |
| US6990428B1 (en) | 2003-07-28 | 2006-01-24 | Cisco Technology, Inc. | Radiolocation using path loss data |
| US7286515B2 (en) | 2003-07-28 | 2007-10-23 | Cisco Technology, Inc. | Method, apparatus, and software product for detecting rogue access points in a wireless network |
| US7293088B2 (en) | 2003-07-28 | 2007-11-06 | Cisco Technology, Inc. | Tag location, client location, and coverage hole location in a wireless network |
| US7286833B2 (en) | 2004-02-27 | 2007-10-23 | Airespace, Inc. | Selective termination of wireless connections to refresh signal information in wireless node location infrastructure |
| US7205938B2 (en) | 2004-03-05 | 2007-04-17 | Airespace, Inc. | Wireless node location mechanism responsive to observed propagation characteristics of wireless network infrastructure signals |
| US7116988B2 (en) | 2004-03-16 | 2006-10-03 | Airespace, Inc. | Location of wireless nodes using signal strength weighting metric |
| US7286835B1 (en) | 2004-09-10 | 2007-10-23 | Airespace, Inc. | Enhanced wireless node location using differential signal strength metric |
| US7516174B1 (en) | 2004-11-02 | 2009-04-07 | Cisco Systems, Inc. | Wireless network security mechanism including reverse network address translation |
| US7805140B2 (en) | 2005-02-18 | 2010-09-28 | Cisco Technology, Inc. | Pre-emptive roaming mechanism allowing for enhanced QoS in wireless network environments |
| US7370362B2 (en) | 2005-03-03 | 2008-05-06 | Cisco Technology, Inc. | Method and apparatus for locating rogue access point switch ports in a wireless network |
| CN100435529C (en) * | 2006-04-29 | 2008-11-19 | 中山大学 | Wireless communication simulating apparatus based on ARM and USB storage device |
| US9817103B2 (en) | 2014-10-09 | 2017-11-14 | Telefonaktiebolaget Lm Ericsson (Publ) | Position adjustment in mobile communications networks |
| US11683090B1 (en) | 2022-01-18 | 2023-06-20 | T-Mobile Usa, Inc. | Laser-based enhancement of signal propagation path for mobile communications |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5293642A (en) * | 1990-12-19 | 1994-03-08 | Northern Telecom Limited | Method of locating a mobile station |
| GB2311697B (en) * | 1996-03-22 | 1999-07-28 | Matsushita Electric Ind Co Ltd | Wireless communication system and method and system for detection of position of radio mobile station |
-
2002
- 2002-09-06 WO PCT/JP2002/009117 patent/WO2003023443A2/en active Application Filing
- 2002-09-06 CN CN02822075.7A patent/CN1610837A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101390311B (en) * | 2006-02-28 | 2012-11-07 | 微软公司 | Determining physical location based upon received signals |
| CN101720130B (en) * | 2008-10-09 | 2012-10-03 | 电信科学技术研究院 | Method and device for allocating physical resource blocks |
| CN102196557A (en) * | 2010-03-19 | 2011-09-21 | 微软公司 | Selecting beacons for location inference |
| CN102196557B (en) * | 2010-03-19 | 2016-08-03 | 微软技术许可有限责任公司 | Select the system and method for the beacon for location estimating |
| CN108934032A (en) * | 2017-05-24 | 2018-12-04 | 中国移动通信集团设计院有限公司 | Indoor ceiling aerial localization method and device |
| CN108934032B (en) * | 2017-05-24 | 2021-09-28 | 中国移动通信集团设计院有限公司 | Indoor ceiling antenna positioning method and device |
| CN110839279A (en) * | 2019-10-21 | 2020-02-25 | 深圳数位传媒科技有限公司 | Intelligent terminal positioning method and device based on 5G signal |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2003023443A3 (en) | 2003-07-31 |
| WO2003023443A2 (en) | 2003-03-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1610837A (en) | Method for detecting location of mobile terminal | |
| CN1253047C (en) | Method and apparatus for simulating and planning of wireless position location network | |
| CN1279771C (en) | Primary zone forming control method, control apparatus and primary zone forming control process | |
| EP2620024B1 (en) | Generation and use of coverage area models | |
| CN1202678C (en) | Method and system for estimating subscriber's location in cluttered area | |
| CN1488076A (en) | Method and apparatus for location estimation | |
| CA2782805C (en) | Area based position determination for terminals in a wireless network | |
| CN110784880B (en) | Antenna weight optimization method, terminal and readable storage medium | |
| CN1368647A (en) | Position computing method and position computing device | |
| JP5123897B2 (en) | Indoor / outdoor determination apparatus and indoor / outdoor determination method | |
| CN1197397C (en) | Method and system for estimating subscriber's location in wireless communication system service area | |
| CN101277539B (en) | Method and system for estimating position of mobile equipment | |
| CN1839615A (en) | Method and apparatus for searching mobile wireless terminal | |
| CN1295388A (en) | Method and device for attribution, regulation and optimization of wireless network | |
| CN1867836A (en) | Method and apparatus for indicating the location of an object | |
| CN1478361A (en) | System and method for planning telecommunications network for mobile terminals | |
| CN1640171A (en) | A method for handling position data in a mobile equipment, and a mobile equipment having improved position data handling capabilities | |
| US9215600B2 (en) | Radio wave propagation characteristic estimation apparatus, method, and computer program | |
| US9479944B2 (en) | Method and apparatus for deriving cell characteristic values | |
| CN1754399A (en) | The method that wireless network changes back-up system and is used to support the wireless network change | |
| CN1235429C (en) | Method for estimating position | |
| CN1788211A (en) | A method for the location of mobile terminals | |
| CN1628480A (en) | Signal path detection for wireless networks including repeaters | |
| CN101588594B (en) | Method and device for positioning test point and corresponding test point to test data | |
| CN1150797C (en) | Location of mobile station in telecommunication system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |