CN106034355A - Method and apparatus for realizing user positioning - Google Patents

Abstract

The invention discloses a method for realizing user positioning. According to a time advance TA value reported by UE in an MR as well as an arrival of angle (AOA) value reported by a base station in an MR, a first region where the UE is located is determined; rasterization is carried out on the first region; road test swept-frequency signals are collected and the signal strength of each grid is determined according to the road test swept-frequency signals falling into the grids of the first region; and on the basis of the signal strength of the MR and the signal strength of the grids, a second region where the UE is located is determined. Meanwhile, the invention also discloses an apparatus for realizing user positioning.

Description

Method and device for realizing user positioning

Technical Field

The present invention relates to the field of mobile communications, and in particular, to a method and an apparatus for implementing user positioning.

Background

With the development of mobile networks, competition among operators has shifted from the market to services. How to improve network quality and service quality has become a precondition for operators to master core competitiveness.

The improvement of the network quality in the traditional mode is mainly completed by various optimization means. At present, the main mode of network optimization is completed by adopting a driving test, but with the increasing of mobile market competition, the improvement of network quality of operators is shifted from a network level to a user level, namely the quality of the network quality is evaluated according to user perception, not just network performance indexes. Under the background, the network is optimized by means of a Measurement Report (MR) message, so that the user experience can be accurately simulated, and the user perception is improved.

Currently, LTE networks have implemented longitude and latitude algorithms to locate MR. For example, patent application with application number CN200910236555.5 entitled mobile positioning method and radio network controller proposes a mobile positioning method, which is to complete terminal positioning by positioning the longitude and latitude of MR. The method comprises the following steps: in a positioning period, receiving a plurality of TA values reported by a User Equipment (UE), a plurality of AOA values and a plurality of TDEV values reported by a base station (Node B); selecting a TA detection algorithm and an algorithm threshold according to the environment of the Node B; calculating a TA detection value according to the plurality of TA values, the selected TA detection algorithm and the algorithm threshold; and calculating the position information of the UE according to the TA detection value, the AOA values and the TDEV values.

However, the method for locating MR longitude and latitude has the following defects:

1. poor accuracy: the precision of positioning the longitude and latitude of the MR in the patent method depends on the precision of AOA and TA; the step length of the TA is 2 at present, and the precision of 1TA is 78.12 meters, so that the TA precision of the longitude and latitude of the MR obtained by the method is 156.24 meters; the accuracy of the AOA is 0.5 degree; therefore, through the TA + AOA mode, the acquired MR longitude and latitude are actually an annular area, and the accuracy is poor; even if the optimization is performed in a mode of a plurality of TA + AOAs, the accuracy is still poor in view of the accuracy problems of the TA and the AOA.

2. Cannot be combined with a drive test: the driving test is a test mode which simulates the client to generate the most easily, so that the network quality of the client is ensured, and the existing method for positioning the longitude and latitude of the MR cannot be combined with the driving test and further cannot acquire the MR distribution condition of the client on a road.

Disclosure of Invention

The invention mainly provides a method and a device for realizing user positioning.

The technical scheme of the invention is realized as follows:

the invention provides a method for realizing user positioning, which comprises the following steps:

determining a first area where User Equipment (UE) is located according to a Time Advance (TA) value reported by the UE in a Measurement Report (MR) and an antenna arrival angle (AOA) value reported by a base station; rasterizing the first region; collecting drive test sweep frequency signals, and determining the signal intensity of each grid according to the drive test sweep frequency signals falling into the grids of the first area; and determining a second area where the UE is located according to the signal strength of the MR and the signal strength of the grid.

In the above scheme, the determining, according to the TA value reported by the UE and the AOA value reported by the base station, the first area in which the UE is located includes:

determining the distance range from the base station antenna to the UE according to the TA value, and determining the range of the horizontal distance from the base station to the UE according to the distance range and the height from the base station antenna to the ground;

converting the longitude and latitude of the base station into a plane rectangular coordinate value according to a Gaussian projection forward calculation algorithm;

determining the plane rectangular coordinate range projected by the UE according to the plane rectangular coordinate value of the base station, the range of the horizontal distance and the AOA value;

and converting the plane rectangular coordinate value projected by the UE into longitude and latitude according to a Gaussian projection back calculation algorithm.

In the foregoing solution, the rasterizing the first region includes: dividing grids by taking the plane rectangular coordinate value of the base station as an origin and taking the size of 20m by 20m as a unit; determining grid coordinate values of four vertexes enclosing a plane rectangular coordinate range projected by the UE; and determining a grid coordinate range enclosed by the grid coordinate values of the four vertexes, and determining grids in the range of the AOA value according to included angles between the four vertexes of the grids and the base station in the grids in the grid coordinate range.

In the foregoing solution, the determining the signal strength of each grid according to the drive test frequency sweep signal falling in the grid of the first area includes:

and removing the drive test frequency sweep signals with the maximum and minimum signal intensity in each grid from the determined grids in the range of the AOA value, and determining the signal intensity of each grid according to the signal intensity of the drive test frequency sweep signals in each grid, wherein the signal intensity of each grid comprises the signal intensity of a main cell and the signal intensity of at least one neighbor cell.

In the foregoing solution, the determining the second region where the UE is located according to the MR signal strength and the grid signal strength includes: and comparing the signal strength of the MR with the signal strength of each grid, and determining the grid closest to the signal strength of the MR as the position of the UE.

In the foregoing solution, the comparing the signal strength of the MR with the signal strength of each grid, and determining the grid closest to the signal strength of the MR as the location of the UE includes:

comparing the signal strength of the primary cell of the MR with the signal strength of the primary cell of each grid, and determining the grid closest to the signal strength of the primary cell of the MR as the position of the UE;

when at least 2 grids closest to the signal strength of the primary cell of the MR exist, determining the first 3 neighbor signal strengths of each grid, comparing the average signal strength of the first 3 neighbors of each grid with the average signal strength of the neighbors of the MR, and determining the grid closest to the average signal strength of the neighbors of the MR as the position of the UE.

The method further comprises the following steps: when the UE moves and the TA value changes, determining a grid at the first change moment of the TA value and a grid at the second change moment of the TA value; determining the distance between the grid at the first change moment of the TA value and the grid at the second change moment of the TA value according to the interval time between the two change moments of the TA value and the average moving speed of the UE;

and determining a grid which is away from the grid at the first change time of the TA value in the grids of the first area by the distance, comparing the signal strength of the determined grid with the signal strength of the MR reported at the interval time before the first change time of the TA value, and determining the grid closest to the signal strength of the MR as the position of the UE.

The invention also provides a device for realizing user positioning, which comprises: the device comprises a first determining unit, a grid unit, a collecting and determining unit and a second determining unit; wherein,

the first determining unit is configured to determine a first area where the UE is located according to a timing advance TA value reported by the UE in a measurement report MR and an antenna angle of arrival AOA value reported by a base station;

the grid unit is used for rasterizing the first area;

the acquisition and determination unit is used for acquiring drive test sweep frequency signals and determining the signal intensity of each grid according to the drive test sweep frequency signals falling into the grids of the first area;

the second determining unit is configured to determine a second region where the UE is located according to the MR signal strength and the grid signal strength.

In the foregoing solution, the second determining unit is specifically configured to compare the signal strength of the MR with the signal strength of each grid, and determine that the grid closest to the signal strength of the MR is the location of the UE.

The device further comprises: a third determining unit that compares and determines the data; wherein,

the third determining unit is configured to determine a grid at a time when the TA value changes when the UE moves, and a grid at a time when the TA value changes for the first time; determining the distance between the grid at the first change moment of the TA value and the grid at the second change moment of the TA value according to the interval time between the two change moments of the TA value and the average moving speed of the UE;

the comparing and determining unit is configured to determine a grid, which is located at the distance from a grid at a time of a first change of the TA value, in the grid of the first area, compare the signal strength of the determined grid with the signal strength of the MR reported at the interval time before the time of the first change of the TA value, and determine that the grid closest to the signal strength of the MR is the location of the UE.

The invention provides a method and a device for realizing user positioning, wherein a first area where User Equipment (UE) is located is determined according to a Time Advance (TA) value reported by the UE in a Measurement Report (MR) and an antenna arrival angle (AOA) value reported by a base station; rasterizing the first region; collecting drive test sweep frequency signals, and determining the signal intensity of each grid according to the drive test sweep frequency signals falling into the grids; determining a second area where the UE is located according to the signal strength of the MR and the signal strength of the grid; therefore, the accuracy of positioning the longitude and latitude of the MR can be improved, the precision of positioning the longitude and latitude of the MR is greatly improved by combining the longitude and latitude positioning of the MR acquired by the signaling monitoring system with the road measurement data, and the monitoring and optimization of the LTE network coverage of the urban road are realized; meanwhile, the UE can be more accurately positioned by further assisting positioning through the mobility of the terminal and the change of the TA value and combining time and distance factors.

Drawings

FIG. 1 is a schematic flow chart of a method for locating a user according to the present invention;

FIG. 2 is a schematic diagram of determining the horizontal distance from the base station to the UE according to the TA value and the height of the base station antenna from the ground according to the present invention;

FIG. 3 is a schematic diagram of determining a first area where a UE is located according to a location of a base station, a horizontal distance from the base station to the UE, and an AOA value, according to the present invention;

FIG. 4 is a diagram of a grid in a first area where the UE is located according to the present invention;

fig. 5 is a schematic diagram of a grid with a first change in the TA value of the UE according to the present invention;

fig. 6 is a schematic diagram illustrating the location of the UE determined according to the first changed grid and the second changed grid of the TA value provided by the present invention;

fig. 7 is a schematic structural diagram of a user positioning device provided in the present invention.

Detailed Description

In the embodiment of the invention, a first area where User Equipment (UE) is located is determined according to a Time Advance (TA) value reported by the UE in a Measurement Report (MR) and an antenna arrival angle (AOA) value reported by a base station; rasterizing the first region; collecting drive test sweep frequency signals, and determining the signal intensity of each grid according to the drive test sweep frequency signals falling into the grids of the first area; and determining a second area where the UE is located according to the signal strength of the MR and the signal strength of the grid.

The invention is further described in detail below with reference to the figures and the specific embodiments.

The embodiment of the invention realizes a user positioning method, as shown in fig. 1, the method comprises the following steps:

step 101: determining a first area where User Equipment (UE) is located according to a Time Advance (TA) value reported by the UE in a Measurement Report (MR) and an antenna arrival angle (AOA) value reported by a base station;

here, the measurement report MR is a Long Term Evolution (LTE) measurement report MR.

In this step, first, a distance range from a base station antenna to the UE is determined according to the TA value, and a horizontal distance range from the base station to the UE is determined according to the distance range and a height of the base station antenna from the ground;

specifically, as shown in fig. 2, the distance from the base station antenna to the UE is d, and the range of d is: [ N × 78.12m, (N +2) × 78.12m ], where N is the value of TA, 78.12m is the precision of 1TA, and 2 is the step size of TA as shown in table 1 below;

TABLE 1

Reported value	Measured quantity value	Unit
			TIME_ADVANCE_00	TA<2	Ts
TIME_ADVANCE_01	2≤TA<4	Ts
			TIME_ADVANCE_02	4≤TA<6	Ts
…	…	…
			TIME_ADVANCE_2046	4092≤TA<4094	Ts
TIME_ADVANCE_2047	4094≤TA<4096	Ts

As can be seen from Table 1, each TA corresponds to 2T_sThe time range of (d);

the horizontal distance from the base station to the UE is r, and the range of r is as follows: [ r ] of₁,r₂]，r_iD cos (arcsin ((h-1.5m)/d)), i 1, 2; h is the height of the base station antenna from the ground, 1.5m is the average height of the UE, r₁Minimum horizontal distance, r, of the UE to the base station for d-N78.2 m₂A maximum horizontal distance of the UE to the base station for d ═ N +2 × 78.2 m;

secondly, converting the longitude and latitude of the base station into a plane rectangular coordinate value according to a Gaussian projection forward calculation algorithm;

specifically, the longitude and latitude (long0, lat0) of the base station are converted into a Gaussian plane rectangular coordinate value (x) by a Gaussian projection forward calculation formula₀，y₀)。

Then, determining the plane rectangular coordinate range projected by the UE according to the plane rectangular coordinate value of the base station, the range of the horizontal distance and the AOA value;

specifically, the AOA value is used to define an estimated angle of the UE with respect to a measurement reference direction, which is a north direction of the base station; the range of the AOA value reported by the base station is as follows: [ AOA 0.5 °, (AOA +1) × 0.5 ° ], wherein AOA is the value reported by the base station, and 0.5 ° is the accuracy of AOA as can be seen from table 2 below;

TABLE 2

Reported value	Measured quantity value	Unit
			AOA_ANGLE_000	0≤AOA_ANGLE<0.5	degree
AOA_ANGLE_001	0.5≤AOA_ANGLE<1	degree
			AOA_ANGLE_002	1≤AOA_ANGLE<1.5	degree
…	…	…
			AOA_ANGLE_717	358.5≤AOA_ANGLE<359	degree
AOA_ANGLE_718	359≤AOA_ANGLE<359.5	degree
			AOA_ANGLE_719	359.5≤AOA_ANGLE<360	degree

As shown in fig. 3, according to the plane rectangular coordinate value (x) of the base station₀，y₀) Determining coordinates of four vertexes enclosing a plane rectangular coordinate range projected by the UE, wherein the four vertexes are respectively represented by A, B, C and D, wherein A, B two points are close to the base station, C, D two points are far away from the base station, A, D two points are located in a direction forming an AOA1 angle with the north direction of the base station, B, C two points are located in a direction forming an AOA1+ 0.5-degree angle with the north direction of the base station, and AOA1 is 0.5 degrees AOA;

the plane rectangular coordinate value of the point A is as follows:

x_a＝x₀+r₁*cos(aoa1)

y_a＝y₀+r₁*sin(aoa1)

the plane rectangular coordinate value of the point B is as follows:

x_b＝x₀+r₁*cos(aoa1+0.5°)

y_b＝y₀+r₁*sin(aoa1+0.5°)

the plane rectangular coordinate value of the point C is as follows:

x_c＝x₀+r₂*cos(aoa1+0.5°)

y_c＝y₀+r₂*sin(aoa1+0.5°)

the plane rectangular coordinate value of the point D is as follows:

x_d＝x₀+r₂*cos(aoa1)

y_d＝y₀+r₂*sin(aoa1)；

according to the above-mentioned planar rectangular coordinate values of A, B, C, D four points, a first area where the UE is located is determined, i.e. the UE should be located within the range enclosed by the planar rectangular coordinate values of A, B, C, D four points as shown in fig. 3;

finally, according to a Gaussian projection back calculation algorithm, converting the plane rectangular coordinate value projected by the UE into longitude and latitude;

specifically, the plane rectangular coordinate values of the four vertices A, B, C, D enclosing the plane rectangular coordinate range projected by the UE are converted into longitude and latitude by a gaussian projection back-calculation formula.

The above positioning method for determining that the UE is located in the ABCD range is more accurate than the existing positioning method, but further considers that the error is still larger at a place farther from the base station, and therefore, on this basis, the following steps 102 and 104 are added to perform accurate positioning in the present invention.

Step 102: rasterizing the first region;

in this step, first, a grid is divided by using a plane rectangular coordinate value of the base station as an origin and using the size of 20m × 20m as a unit;

specifically, the planar rectangular coordinate value (x) of the base station is used₀，y₀) Determining grid coordinate values of 4 vertexes of the ijth grid by taking 20m × 20m as a unit as an origin, and dividing the grids into grids, wherein the grid coordinate values of the 4 vertexes of the ijth grid are respectively determined as follows:

ij1: $\begin{array}{c}{x}_i=x_0+20*i\\ y_i=y_0+20*j\end{array}$

ij2: $\begin{array}{c}{x}_i=x_0+20*(i+1)\\ y_i=y_0+20*j\end{array}$

ij3: $\begin{array}{c}{x}_i=x_0+20*i\\ y_i=y_0+20*(j+1)\end{array}$

ij4: $\begin{array}{c}{x}_i=x_0+20*(i+1)\\ y_i=y_0+20*(j+1)\end{array}$

wherein i and j are integers greater than or equal to 0; ij1 represents the nearest vertex to the base station of the ijth cell, ij2 represents the vertex of the ijth cell in the same horizontal direction as the nearest vertex to the base station, ij3 represents the vertex of the ijth cell in the same vertical direction as the nearest vertex to the base station, and ij4 represents the farthest vertex to the base station of the ijth cell;

secondly, determining grid coordinate values of four vertexes enclosing a plane rectangular coordinate range projected by the UE;

specifically, the grid coordinate values of the four vertexes a, B, C, and D enclosing the rectangular coordinate range of the plane projected by the UE are respectively:

grid coordinate value of point a:

x_ai＝【r₁*cos(aoa1)/20】

y_aj＝【r₁*sin(aoa1)/20】

grid coordinate value of point B:

x_bi＝【r₁*cos(aoa1+0.5°)/20】

y_bj＝【r₁*sin(aoa1+0.5°)/20】

grid coordinate value of point C:

x_ci＝【r₂*cos(aoa1+0.5°)/20】

y_cj＝【r₂*sin(aoa1+0.5°)/20】

grid coordinate value of point D:

wherein [ I ] is a round;

finally, determining a grid coordinate range enclosed by the grid coordinate values of the four vertexes, and determining grids in the range of the AOA value according to included angles between the four vertexes of the grids and the base station in the grids in the grid coordinate range;

specifically, the grid coordinate range defined by the grid coordinate values of the four vertexes a, B, C, and D is determined as follows: at a minimum value X_minAnd a maximum value X_maxThe minimum and the mean values Y_minAnd a maximum value Y_maxThe area enclosed between the first and second electrodes, wherein,

X_min＝min(x_ai，x_bi，x_ci，x_di)

Y_min＝min(y_ai，y_bi，y_ci，y_di)

X_max＝max(x_ai，x_bi，x_ci，x_di)；

Y_max＝max(y_ai，y_bi，y_ci，y_di)

in the grids in the grid coordinate range, determining the grids in the AOA value range according to the included angles between the four vertexes of the grids and the base station respectively as follows:

according to X_min～X_max，Y_min～Y_maxTwo-dimensional loop, determining arctan (y)_j/x_i)，arctan(y_j/(x_i+20))，arctan((y_j+20)/(x_i+20))，arctan((y_j+20)/x_i) The grids between aoa 1-aoa 1+0.5 ° are recorded to determine the grids that fall within the first area where the UE is located, as shown in fig. 4, grids 1-6 fall within the first area surrounded by ABCD where the UE is located.

Step 103: collecting drive test sweep frequency signals, and determining the signal intensity of each grid according to the drive test sweep frequency signals falling into the grids of the first area;

in the step, a drive test sweep frequency signal is collected, and the drive test sweep frequency signal is divided into corresponding grids according to the longitude and latitude; the number of sampling points in each grid is different, and part of the accidental data needs to be removed: when the number of sampling points with the same longitude and latitude is more than or equal to 3, the maximum and minimum signal intensity is removed, and then the average is taken; when the number is equal to 2, averaging, and recording the number of the sampling points with the same longitude and latitude as 1 after the processing so as to prevent the sampling points from stopping at the same position and repeatedly collecting;

specifically, in the grids determined in step 102 within the range of the AOA value, the drive test frequency sweep signals with the maximum and minimum signal strengths in each grid are removed, and the signal strength of each grid is determined according to the signal strength of the drive test frequency sweep signals in each grid;

the signal strength of one grid comprises a main cell signal strength and at least one adjacent cell signal strength, and the main cell signal strength and the adjacent cell signal strength of each grid are determined by the following formulas:

$\mathrm{RXLEVij}=\underset{k=1}{\overset{n}{\mathrm{\Σ}}}\frac{\mathrm{RXLEVk}}{n}$

when the signal intensity of a main cell of a grid is determined, RXLEVk is the signal intensity of the main cell of a drive test frequency sweep signal in the grid, n is the sampling frequency of the drive test frequency sweep signal in the grid, and the signal intensity of the main cell of the grid is the weighted average of the signal intensity of the main cell of the drive test frequency sweep signal in the grid;

when the signal intensity of a neighbor cell of a grid is determined, RXLEVk is the signal intensity of a neighbor cell of a drive test frequency sweep signal in the grid, n is the number of the neighbor cell signals of the drive test frequency sweep signal corresponding to the grid, and the signal intensity of the neighbor cell of the grid is the weighted average of the signal intensity of the neighbor cell of the drive test frequency sweep signal;

in this step, if grid (x)_i,y_j) If the drive test sweep frequency signal does not have sampling, checking whether the drive test sweep frequency signal exists in the peripheral grid, and taking the average value of the signal intensity of the peripheral grid as the grid (x) when the drive test sweep frequency signal exists in the peripheral grid_i,y_j) The number of sampling points is recorded as 1; wherein, the number of the peripheral grids is 4, which are respectively expressed as:

(x_i，y_j+20)，(x_i，y_j-20)，(x_i+20，y_j)，(x_i-20，y_j)；

then grid (x)_i,y_j) The signal strength of (a) is:

RXLEVij＝(RXLEV(x_i,y_j+20)+RXLEV(x_i,y_j-20)+RXLEV(x_i+20,y_j)+RXLEV(x_i-20,y_j) N is 4.

Step 104, determining a second area where the UE is located according to the signal strength of the MR and the signal strength of the grid;

specifically, the signal strength of the MR is compared with the signal strength of each grid, and the grid closest to the signal strength of the MR is determined as the position of the UE;

firstly, comparing the signal intensity of the primary cell of the MR with the signal intensity of the primary cell of each grid, and determining the grid closest to the signal intensity of the primary cell of the MR as the position of the UE;

secondly, when at least 2 grids closest to the signal strength of the main cell of the MR exist, determining the first 3 neighbor cell signal strengths of each grid, comparing the average signal strength of the first 3 neighbor cells of each grid with the average signal strength of the neighbor cells of the MR, and determining the grid closest to the average signal strength of the neighbor cells of the MR as the position of the UE;

the closest at least needs to satisfy: the signal strength of the primary cell of the MR-the signal strength of the primary cell of the grid | < ═ 3dbm or the average signal strength of the neighbor cells of the MR-the average signal strength of the neighbor cells of the grid | < | > -3 dbm.

The user positioning scheme described in the above step 101-104 greatly improves the accuracy of positioning the MR longitude and latitude by combining the longitude and latitude positioning of the MR acquired by the signaling monitoring system with the drive test frequency sweep signal data; however, considering that there may be some grids with relatively close signal strengths by using this scheme, the present application is optimized based on the above scheme to assist positioning by mobility determination of the UE, i.e., change of TA value, so as to achieve more accurate positioning.

For a single UE, if the TA value is gradually increased (at least by some amount) over a certain period of timeThere were 2 increases in TA value, TA_j>TA_i>TA₀) If the UE is far away from the base station, otherwise, the UE is close to the base station; wherein, TA_jIs TA value at time j, TA_iTA value at time i, TA₀Is the initial TA value; if the AOA value is gradually increased (there are at least 2 times of increase of the AOA value, the AOA value is increased in a certain period of time_j>AOA_i>AOA₀) If the UE moves clockwise, otherwise, the UE moves anticlockwise, wherein AOA_jAOA value at time j, AOA_iAOA value at time i, AOA₀Is the initial AOA value; and the position of the UE can be assisted to be judged according to the position of the TA value and/or the AOA value change time grid.

Taking the change of the TA value of the UE as an example, the following further describes that the position of the grid is assisted to determine the position of the UE according to the TA value change time (change of at least 2 times); suppose that the TA value reported by the user in the above step 101-104 is equal to TA_i；

Specifically, first, when the UE moves and the TA value changes, a grid at a time when the TA value changes for the first time and a grid at a time when the TA value changes for the second time are determined; as shown in FIGS. 5 and 6, grid 7 is determined to be the grid when the TA value of the UE changes for the first time, i.e. from TA_iIs changed into T_AjThe grid 8 is determined as the grid when the TA value of the UE changes for the second time, namely, the grid from TA_jBecomes TA_mA grid of (a);

secondly, determining the distance between the grid of the TA value at the first change time and the grid of the TA value at the second change time according to the interval time between the two change times of the TA value and the average moving speed of the UE; wherein the average moving speed of the UE is as follows: determining a first position of the UE at the change moment according to a grid of a TA value at the first change moment, determining a second position of the UE at the change moment according to a grid of a TA value at the second change moment, and determining an average moving speed of the UE according to the distance between the first position and the second position and the interval time between two TA value change moments;

as shown in FIG. 6, the grid 7 has TA values from TA_iBecomes TA_jCan determine that the UE should be located at TA at the time_iAnd TA_jThe position of the border between the first position and the second position, namely the first position of the UE is close to the CD; grid 8 TA values from TA_jBecomes TA_mSimilarly, it may be determined that the second location of the UE is close to EF at this time;

similarly, through the change of AOA, it can also be determined whether the user is closer to the AD direction or the BC direction, i.e. closer to AOA1 or AOA1+0.5 °, and the error of this direction is very small in the range of 1000 meters;

TA value from TA_iBecomes TA_j: step 101 determines C, D that the coordinates of the rectangular plane coordinates of the two points are,

c point plane rectangular coordinate value:

x_c＝x₀+r₂*cos(aoa1+0.5°)

y_c＝y₀+r₂*sin(aoa1+0.5°)

d point plane rectangular coordinate value:

x_d＝x₀+r₂*cos(aoa1)

y_d＝y₀+r₂*sin(aoa1)；

TA value from TA_iBecomes TA_j: the planar rectangular coordinate values of the two points are determined E, F according to figure 6,

e, plane rectangular coordinate value:

x_e＝x₀+r₃*cos(aoa2)

y_e＝y₀+r₃*sin(aoa2)

f point plane rectangular coordinate value:

x_f＝x₀+r₃*cos(aoa2+0.5°)

y_f＝y₀+r₃*sin(aoa2+0.5°)

wherein r is₃The second time the TA value for the UE changes, the horizontal distance from the base station to the UE, e.g., from base station to point E or base station to point F in FIG. 6, and the range of AOA values becomes [ AOA2, AOA2+0.5 ]]Aoa2 ═ aoa × 0.5, where aoa is the corresponding value reported by the base station;

the distance between C, D and E, F is calculated from the plane rectangular coordinate value of C, D, E, F, i.e., the distance between the first position and the second position may be one of:

$\mathrm{Dis}\left(\mathrm{CE}\right)=\sqrt{{(x_c-x_e)}^2+{(y_c-y_e)}^2}$

$\mathrm{Dis}\left(\mathrm{CF}\right)=\sqrt{{(x_c-x_f)}^2+{(y_c-y_f)}^2}$

$\mathrm{Dis}\left(\mathrm{DE}\right)=\sqrt{{(x_d-x_e)}^2+{(y_d-y_e)}^2}$

$\mathrm{Dis}\left(\mathrm{DF}\right)=\sqrt{{(x_d-x_f)}^2+{(y_d-y_f)}^2}$

a movement speed (CE) of the UE dis (CE)/T;

a mobility speed (CF) of the UE Dis (CF)/T;

a movement speed (DE) of the UE Dis (DE)/T;

a mobility speed (DF) of the UE is Dis (DF)/T; wherein, T is the interval time between two change moments of the TA value;

such that the average moving speed of the UE, speed, is (moving speed of the UE (CE) + moving speed of the UE (CF) + moving speed of the UE (DE) + moving speed of the UE (DF))/4; if the average moving speed is greater than 10 m/s, determining that the UE is on the vehicle;

according to the average moving speed of the UE and the interval time T between two change moments of the TA value, calculating the distance between the grid at the first change moment of the TA value and the grid at the second change moment of the TA value to be speed T;

and finally, determining a grid which is away from the grid at the time of the first change of the TA value by the distance speed T in the grids of the first area, comparing the signal intensity of the determined grid with the signal intensity of the MR reported at the time interval T before the time of the first change of the TA value, and determining the grid closest to the signal intensity of the MR as the position of the UE.

The mobility of the UE, namely the change of the TA value is considered to further assist the positioning, and the factors of time and distance are combined, so that the UE is more accurately positioned.

The method combines the longitude and latitude positioning of the MR acquired by the signaling monitoring system with the drive test sweep frequency data, improves the precision of the longitude and latitude positioning of the MR acquired by the signaling monitoring system, and ensures that the distribution range of the MR acquired by the signaling monitoring system is consistent with the distribution range of the MR acquired by the drive test, so that when a road in a certain city is monitored, or a certain expressway is monitored, or a certain railway is monitored, the drive test data in the range to be monitored can be acquired only by performing routine test on the range to be monitored, and the longitude and latitude of the MR of a client in the monitoring range are completed; meanwhile, the positioning precision can be further improved by combining the mobility of the UE on the road, and the distribution of the clients on the road can also be determined; meanwhile, the grid precision of 20m by 20m at present can meet the requirement of daily drive test optimization analysis, data support can be provided for road optimization in 7 by 24 hours, not only is routine tests avoided, but also road LTE network coverage data can be provided according to different time periods, the signal quality of a client on different grids is truly reflected, the driving speed of the client on a road is truly reflected, and the LTE network optimization adjustment work is completed according to actual conditions.

In order to implement the foregoing method, an embodiment of the present invention further provides an apparatus for implementing user positioning, where as shown in fig. 7, the apparatus includes: a first determining unit 701, a grid unit 702, a collecting and determining unit 703, a second determining unit 704; wherein,

the first determining unit 701 is configured to determine a first area where the UE is located according to a timing advance TA value reported by the UE in a measurement report MR and an antenna angle of arrival AOA value reported by a base station;

the grid unit 702 is configured to grid the first region;

the acquisition and determination unit 703 is configured to acquire a drive test sweep signal, and determine the signal strength of each grid according to the drive test sweep signal falling into the grid of the first area;

the second determining unit 704 is configured to determine a second region where the UE is located according to the signal strength of the MR and the signal strength of the grid;

the first determining unit 701 includes: the first determining submodule, the first conversion module, the second determining submodule and the second conversion module; wherein,

the first determining submodule is used for determining the distance range from the base station antenna to the UE according to the TA value and determining the range of the horizontal distance from the base station to the UE according to the distance range and the height from the base station antenna to the ground;

the first conversion module is used for converting the longitude and latitude of the base station into a plane rectangular coordinate value according to a Gaussian projection forward calculation algorithm;

the second determining submodule is used for determining a plane rectangular coordinate range projected by the UE according to the plane rectangular coordinate value of the base station, the range of the horizontal distance and the AOA value;

the second conversion module is used for converting the plane rectangular coordinate value projected by the UE into longitude and latitude according to a Gaussian projection back calculation algorithm;

the grid unit 702 includes: the grid division module and a third determination sub-module; wherein,

the grid division module is used for dividing grids by taking the plane rectangular coordinate value of the base station as an origin and taking the size of 20m by 20m as a unit;

the third determining submodule is used for determining grid coordinate values of four vertexes enclosing a plane rectangular coordinate range projected by the UE in the second determining submodule; determining a grid coordinate range enclosed by the grid coordinate values of the four vertexes, and determining grids in the range of the AOA value according to included angles between the four vertexes of the grids and the base station in grids in the grid coordinate range;

the acquisition and determination unit 703 includes: a fourth determining submodule, configured to remove, from the grids determined by the third determining submodule within the range of the AOA value, the drive test frequency sweep signal having the largest and smallest signal strengths in each grid, and determine the signal strength of each grid according to the signal strength of the drive test frequency sweep signal in each grid, where the signal strength of one grid includes a main cell signal strength and at least one neighbor cell signal strength;

the second determining unit 704 is specifically configured to compare the signal strength of the MR with the signal strength of each grid, and determine the grid closest to the signal strength of the MR as the location of the UE;

the second determination unit 704 includes: a first comparison module and a second comparison module, wherein,

the first comparing module is configured to compare the primary cell signal strength of the MR with the primary cell signal strength of each grid, and determine that the grid closest to the primary cell signal strength of the MR is the location of the UE;

the second comparing module is configured to, when there are at least 2 grids closest to the signal strength of the primary cell of the MR, determine first 3 neighbor cell signal strengths of each grid, compare the first 3 neighbor cell average signal strengths of each grid with the neighbor cell average signal strength of the MR, and determine that the grid closest to the neighbor cell average signal strength of the MR is the location where the UE is located;

the device further comprises: a third determination unit 705, a comparison and determination unit 706; wherein,

the third determining unit 705 is configured to determine a grid at a time when the TA value changes when the UE moves, and determine a grid at a time when the TA value changes for the first time and a grid at a time when the TA value changes for the second time; determining the distance between the grid at the first change moment of the TA value and the grid at the second change moment of the TA value according to the interval time between the two change moments of the TA value and the average moving speed of the UE;

the comparing and determining unit 706 is configured to determine a grid in the first area, which is away from the grid at the time of the first change of the TA value by the distance, compare the signal strength of the determined grid with the signal strength of the MR reported at the interval time before the time of the first change of the TA value, and determine that the grid closest to the signal strength of the MR is the location of the UE;

the third determining unit 705 includes: a fourth determining submodule, configured to determine, according to the grid at the time of the first change of the TA value, a first position of the UE at the time of the change, and determine, according to the grid at the time of the second change of the TA value, a second position of the UE at the time of the change; and determining the average moving speed of the UE according to the distance between the first position and the second position and the interval time between two change moments of the TA value.

In a specific implementation process, the above units and modules of the present invention may be located in a wireless network controller, and implemented by a Central Processing Unit (CPU), a microprocessor Unit (MPU), a Digital Signal Processor (DSP), or a Programmable logic Array (FPGA).

The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.

Claims (10)

1. A method for enabling user location, the method comprising:

determining a first area where User Equipment (UE) is located according to a Time Advance (TA) value reported by the UE in a Measurement Report (MR) and an antenna arrival angle (AOA) value reported by a base station;

rasterizing the first region;

collecting drive test sweep frequency signals, and determining the signal intensity of each grid according to the drive test sweep frequency signals falling into the grids of the first area;

and determining a second area where the UE is located according to the signal strength of the MR and the signal strength of the grid.

2. The method of claim 1, wherein the determining the first area in which the UE is located according to the TA value reported by the UE and the AOA value reported by the base station comprises:

determining the distance range from the base station antenna to the UE according to the TA value, and determining the range of the horizontal distance from the base station to the UE according to the distance range and the height from the base station antenna to the ground;

converting the longitude and latitude of the base station into a plane rectangular coordinate value according to a Gaussian projection forward calculation algorithm;

determining the plane rectangular coordinate range projected by the UE according to the plane rectangular coordinate value of the base station, the range of the horizontal distance and the AOA value;

and converting the plane rectangular coordinate value projected by the UE into longitude and latitude according to a Gaussian projection back calculation algorithm.

3. The method of claim 2, wherein rasterizing the first region comprises: dividing grids by taking the plane rectangular coordinate value of the base station as an origin and taking the size of 20m by 20m as a unit; determining grid coordinate values of four vertexes enclosing a plane rectangular coordinate range projected by the UE; and determining a grid coordinate range enclosed by the grid coordinate values of the four vertexes, and determining grids in the range of the AOA value according to included angles between the four vertexes of the grids and the base station in the grids in the grid coordinate range.

4. The method of claim 3, wherein determining the signal strength of each grid from the drive test swept frequency signals falling within the grid of the first area comprises:

and removing the drive test frequency sweep signals with the maximum and minimum signal intensity in each grid from the determined grids in the range of the AOA value, and determining the signal intensity of each grid according to the signal intensity of the drive test frequency sweep signals in each grid, wherein the signal intensity of each grid comprises the signal intensity of a main cell and the signal intensity of at least one neighbor cell.

5. The method of claim 4, wherein the determining the second region where the UE is located according to the signal strength of the MR and the signal strength of the grid comprises: and comparing the signal strength of the MR with the signal strength of each grid, and determining the grid closest to the signal strength of the MR as the position of the UE.

6. The method of claim 5, wherein the comparing the signal strength of the MR with the signal strength of each grid, and wherein the determining the grid closest to the signal strength of the MR as the location of the UE comprises:

comparing the signal strength of the primary cell of the MR with the signal strength of the primary cell of each grid, and determining the grid closest to the signal strength of the primary cell of the MR as the position of the UE;

when at least 2 grids closest to the signal strength of the primary cell of the MR exist, determining the first 3 neighbor signal strengths of each grid, comparing the average signal strength of the first 3 neighbors of each grid with the average signal strength of the neighbors of the MR, and determining the grid closest to the average signal strength of the neighbors of the MR as the position of the UE.

7. The method of claim 1, further comprising: when the UE moves and the TA value changes, determining a grid at the first change moment of the TA value and a grid at the second change moment of the TA value;

determining the distance between the grid at the first change moment of the TA value and the grid at the second change moment of the TA value according to the interval time between the two change moments of the TA value and the average moving speed of the UE;

and determining a grid which is away from the grid at the first change time of the TA value in the grids of the first area by the distance, comparing the signal strength of the determined grid with the signal strength of the MR reported at the interval time before the first change time of the TA value, and determining the grid closest to the signal strength of the MR as the position of the UE.

8. An apparatus for enabling user positioning, the apparatus comprising: the device comprises a first determining unit, a grid unit, a collecting and determining unit and a second determining unit; wherein,

the first determining unit is configured to determine a first area where the UE is located according to a timing advance TA value reported by the UE in a measurement report MR and an antenna angle of arrival AOA value reported by a base station;

the grid unit is used for rasterizing the first area;

the acquisition and determination unit is used for acquiring drive test sweep frequency signals and determining the signal intensity of each grid according to the drive test sweep frequency signals falling into the grids of the first area;

the second determining unit is configured to determine a second region where the UE is located according to the MR signal strength and the grid signal strength.

9. The apparatus of claim 8, wherein the second determining unit is specifically configured to compare the signal strength of the MR with the signal strength of each grid, and determine the grid closest to the signal strength of the MR as the location of the UE.

10. The apparatus of claim 8, further comprising: a third determining unit that compares and determines the data; wherein,

the third determining unit is configured to determine a grid at a time when the TA value changes when the UE moves, and a grid at a time when the TA value changes for the first time; determining the distance between the grid at the first change moment of the TA value and the grid at the second change moment of the TA value according to the interval time between the two change moments of the TA value and the average moving speed of the UE;

the comparing and determining unit is configured to determine a grid, which is located at the distance from a grid at a time of a first change of the TA value, in the grid of the first area, compare the signal strength of the determined grid with the signal strength of the MR reported at the interval time before the time of the first change of the TA value, and determine that the grid closest to the signal strength of the MR is the location of the UE.