CN111278040A - Interference source positioning method, device, equipment and computer storage medium - Google Patents

Abstract

The invention discloses an interference source positioning method, an interference source positioning device, interference source positioning equipment and a computer storage medium. Firstly, identifying interfered sampling points according to the characteristics of external interference; secondly, calculating an average eNB antenna arrival angle based on the antenna arrival angle interval in the sampling point data, and combining the actual azimuth angle of the cell in the base station configuration information to obtain angle information between the interference source and each interfered cell. And finally, based on the idea that the intersection point density of the position of the intersection point is in direct proportion to the data quality of the intersection point position, performing data quality measurement evaluation on a target estimation position point generated by each measured value in a two-dimensional space, determining the contribution of the measured value to an interference source positioning result, and accurately positioning the interference source. According to the embodiment of the invention, the adverse effect of the low-quality measurement value on the positioning result can be effectively eliminated, the positioning precision of the external interference source is improved, and the utilization of the measurement data is unified with the sufficiency and the rationality.

Description

Interference source locating method, device, equipment and computer storage medium

technical field

The present invention relates to the field of communication technologies, and in particular, to a method, apparatus, device and computer storage medium for locating an interference source.

Background technique

For mobile communication networks, the premise of ensuring service quality is the use of clean spectrum, that is, the frequency band is not used or interfered by other systems. Otherwise, the performance of the interfered system and the feeling of the end user will be greatly negatively affected. According to the causes of interference, interference can be divided into intra-system interference and inter-system interference.

In inter-system interference, an external jammer is a jamming method adopted for a special purpose to block mobile communication signals. Usually the output power is high, so that the mobile phone cannot detect the normal broadcast messages sent by the base station, so that the mobile phone cannot establish a connection with the base station, and at the same time, the call quality of users in the surrounding cells is abnormal.

The types of external jammers currently found are: legal jammers used in conference confidentiality, colleges and national qualification examinations, confidential units, gas stations, jammers installed by private individuals for their own interests, pseudo base stations, etc.

The main feature of external jammer interference is timeliness, and the appearance of external interference has a strong time law, that is, it will only appear within the time period when the jammer is turned on. Concealment, in order to avoid unscrupulous inspections, illegal jammers are usually installed in hidden locations and are not easy to find. Destructive, the interference signal generated by the jammer will affect the uplink and downlink signals of multiple cells in the surrounding area, resulting in the degradation of regional service quality.

At present, the positioning of external interference sources uses portable spectrum analyzers, such as Tektronix YBT250, Anritsu MS2713E, and manual positioning and analysis on site. The troubleshooting steps are as follows:

1) Determine the time characteristics and approximate area of the external interference source

Perform long-term (at least 24 hours) uplink interference band statistics on the interfered cells, for example, the noise floor intensity of the interference ≥ -110dbm and neighboring cells, and find the regularity in the time of the interference (appears and disappears at the same time), and judges Multiple cells are interfered by the same interferer.

2) Search on the site

During the time when the interference is the strongest, carry a portable spectrum analyzer and Yagi antenna to the roof of the affected cell, use the Yagi antenna to point in different directions, find the direction with the largest interference signal and use the compass to record the azimuth. After that, go to the roof of the next cell interfered by the same interference source, and repeat the above steps.

3) Preliminary location of external interference source area

By testing the recorded maximum interference directions at different locations, the “cross-connection method” is used, as shown in the schematic diagram of the existing interference source positioning method shown in Figure 1, to preliminarily determine the approximate location area where the interference source is located.

4) Determine the location of external interference sources

Carry the test instrument to search for the preliminarily determined interference source area, gradually narrow down the area of the interference source and finally locate it.

Existing interference troubleshooting methods have the following shortcomings, which are time-consuming and labor-intensive, requiring optimization personnel to conduct long-term on-site searches, or even multiple inspections to accurately locate; external interference sources need to be located when the interference signal is relatively stable and the interference is obvious. conduct.

SUMMARY OF THE INVENTION

In order to solve at least one of the above technical problems, the embodiments of the present invention provide a method, device, equipment, and computer storage medium for locating interference sources, which realizes remote, intelligent, and precise interference source investigation, and improves the interference source investigation. work efficiency. It can effectively eliminate the adverse effects of low-quality measurement values on the positioning results, improve the positioning accuracy of external interference sources, and achieve the unity of adequacy and rationality in the utilization of measurement data.

In a first aspect, an embodiment of the present invention provides a method for locating an interference source. The method includes:

Obtain traffic statistics, measurement report (MR) data and base station configuration data of the interfered cell;

Determine the angle between the interfered cell and the interferer according to the traffic statistics data, MR data and base station configuration data of the interfered cell;

Connecting any two of the interfered cells and the interferer to form two direction finding lines, and determining the intersection coordinates of any of the two direction finding lines according to the angle between the interfered cell and the interferer;

Determine the sum of the distances from any one of the intersections to all other intersections according to the coordinates of the intersections, and determine the minimum value of the sums of all the distances;

According to the sum of all the distances and the minimum value, determine the quality index of the intersection point;

selecting an intersection point corresponding to the quality index that is not less than a preset quality threshold;

The location of the interference source is determined according to the selected intersection point.

According to the method for locating the interference source provided by the present invention, the determining the position of the interference source according to the selected intersection point includes:

The mean value of the coordinates of the selected intersection points is used as the position coordinates of the interference source.

According to the interference source locating method provided by the present invention, the method further includes:

Judging whether the coordinates of the intersections of the direction finding lines of all the interfered cells and the interferer have been determined;

If not, connect any two undetermined interfered cells and the interferer to form two direction finding lines, and determine any two of the two direction finding lines according to the angle between the interfered cell and the interferer The coordinates of the intersection of the direction finding lines;

Until the determination of the coordinates of the intersections of the direction finding lines of all the interfered cells and the interferer is completed.

According to the interference source locating method provided by the present invention, the method further includes:

Get traffic statistics of all cells;

The interfered cell is determined according to the traffic statistics data of all the cells.

According to the method for locating the interferer provided by the present invention, the determining the angle between the interfered cell and the interferer according to the traffic statistics data, MR data and base station configuration data of the interfered cell includes:

Determine the angle of arrival of the antenna of the interfered cell according to the traffic statistics data, MR data and base station configuration data of the interfered cell;

dividing the angle of arrival of the antenna into a preset number of intervals, and determining the azimuth angle deviation and weight coefficient of each of the intervals;

Determine the mean value of the angle of arrival of the antenna according to the azimuth angle deviation and the weight coefficient of the interval;

The average angle of arrival of the antenna is taken as the angle between the interfered cell and the interferer.

According to the interference source locating method provided by the present invention, the determining the antenna arrival angle of the interfered cell according to the traffic statistics data, MR data and base station configuration data of the interfered cell includes:

Determine the antenna azimuth of the interfered cell according to the traffic statistics data and base station configuration data of the interfered cell;

Determine the angle between the incident direction of the terminal and the normal direction of the base station according to the MR data;

The antenna arrival angle of the interfered cell is determined according to the antenna azimuth angle of the interfered cell and the included angle between the incident direction of the terminal and the normal direction of the base station.

According to the interference source locating method provided by the present invention, the method further includes:

Determine the coordinates of the interfered cell according to the base station configuration data.

According to the interference source locating method provided by the present invention, determining the quality index of the intersection point according to the sum of all the distances and the minimum value, including:

The ratio of the minimum value to the sum of all the distances is calculated, and the ratio is used as the quality indicator of the intersection.

According to the interference source locating method provided by the present invention, the MR data includes:

The received power of the reference signal of the interfered cell, the received interference power of the interfered cell, and the angle of arrival of the antenna of the interfered cell.

In a second aspect, an embodiment of the present invention provides a device for locating an interference source, and the device includes:

The data acquisition module is used to acquire the traffic statistics data, measurement report MR data and base station configuration data of the interfered cell;

an angle determination module, configured to determine the angle between the interfered cell and the interferer according to the traffic statistics data, MR data and base station configuration data of the interfered cell;

The intersection coordinate determination module is used to connect any two of the interfered cells and the interferer to form two direction finding lines, and to determine any two of the interfered cells according to the angle between the interfered cell and the interferer. The coordinates of the intersection of the direction finding lines;

a minimum value determination module, configured to determine the sum of the distances from any one of the intersection points to all other intersection points according to the coordinates of the intersection point, and to determine the minimum value in the sum of all the distances;

a quality index determination module, configured to determine the quality index of the intersection point according to the sum of all the distances and the minimum value;

an intersection selection module, configured to select an intersection corresponding to the quality index that is not less than a preset quality threshold;

A location determination module, configured to determine the location of the interference source according to the selected intersection point.

In a third aspect, an embodiment of the present invention provides a device for locating an interference source, including: at least one processor, at least one memory, and computer program instructions stored in the memory, when the computer program instructions are executed by the processor, the above-mentioned implementation is implemented The method of the first aspect of the method.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the method of the first aspect in the foregoing embodiments is implemented.

The interference source location method, device, device, and computer storage medium provided by the embodiments of the present invention firstly identify the interfered sampling point according to the characteristics of external interference; secondly, calculate the "average eNB antenna arrival angle" based on the antenna arrival angle interval in the sampling point data ”, and combined with the actual azimuth angle of the cell in the base station configuration information, the angle information between the interferer and each interfered cell is obtained. Finally, based on the idea that the intersection density at the intersection location is proportional to the data quality of the intersection location, the data quality metric evaluation is carried out on the target estimated location points generated by each measurement value in the two-dimensional space, and it is determined that the measurement value affects the interference. Contribution of source location results, accurate location of interference sources. According to the embodiment of the present invention, the adverse effects of low-quality measurement values on the positioning result can be effectively eliminated, the positioning accuracy of external interference sources is improved, and the utilization of measurement data can achieve unity of sufficiency and rationality.

According to the embodiment of the present invention, accurate positioning of the interference source is realized, and the work efficiency of the interference source investigation is improved.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present invention more clearly, the accompanying drawings required in the embodiments of the present invention will be briefly introduced below. For those of ordinary skill in the art, without creative work, the Additional drawings can be obtained from these drawings.

1 shows a schematic diagram of an existing interference source location method;

2 shows a schematic flowchart of a method for locating an interference source according to an embodiment of the present invention;

3 shows a schematic flowchart of a method for locating an interference source according to another embodiment of the present invention;

FIG. 4 shows a schematic diagram of lateral cross positioning according to an embodiment of the present invention;

FIG. 5 shows a schematic diagram of the angle of arrival of an antenna according to an embodiment of the present invention;

FIG. 6 shows a schematic structural diagram of an interference source locating device according to an embodiment of the present invention;

FIG. 7 shows a hardware structure diagram of a device for locating an interference source according to an embodiment of the present invention.

Detailed ways

The features and exemplary embodiments of various aspects of the present invention will be described in detail below. In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only configured to explain the present invention, and are not configured to limit the present invention. It will be apparent to those skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is only intended to provide a better understanding of the present invention by illustrating examples of the invention.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element defined by the phrase "comprises" does not preclude the presence of additional identical elements in a process, method, article, or device that includes the element.

The method, apparatus, device, and computer storage medium for locating an interference source according to embodiments of the present invention are described in detail below with reference to FIGS. 2-7 . It should be noted that the embodiments do not limit the protection scope of the present invention.

FIG. 2 shows a schematic flowchart of a method for locating an interference source according to an embodiment of the present invention. As shown in FIG. 2 , the method for locating an interference source according to an embodiment of the present invention includes the following steps:

S110, obtain traffic statistics data, measurement report MR data and base station configuration data of the interfered cell;

S120, determine the angle between the interfered cell and the interferer according to the traffic statistics data, MR data and base station configuration data of the interfered cell;

S130, connect any two interfered cells and the interferer to form two direction finding lines, and determine the intersection coordinates of any two direction finding lines according to the angle between the interfered cell and the interferer;

S140, determine the sum of the distances from any intersection to all other intersections according to the coordinates of the intersections, and determine the minimum value of the sums of all distances;

S150, according to the sum and minimum value of all distances, determine the quality index of the intersection point;

S160, selecting an intersection point corresponding to a quality index not less than a preset quality threshold;

S170: Determine the position of the interference source according to the selected intersection point.

Further, the coordinate mean of the selected intersection points is taken as the position coordinate of the interference source. Determine whether the intersection coordinates of the direction finding lines of all the interfered cells and the interferer are determined; The angle between the interference source and the interference source determines the intersection coordinates of any two direction finding lines; until the intersection coordinates of the direction finding lines of all interfered cells and the interference source are determined.

In the embodiment of the present invention, the adverse effects of low-quality measurement values on the positioning results can be effectively eliminated, the positioning accuracy of external interference sources is improved, and the utilization of measurement data can achieve unity of sufficiency and rationality.

It should be noted that the present invention refers to the design idea of Wireless Sensor Network (WSN), regards the interfered wireless cell as a sensor node, and designs the scheme based on the following three assumptions: 1. In the public detection area; 2. The number of sensors is greater than 3, and the position is fixed; 3. The analysis range is in a two-dimensional plane.

In the present invention, the place where the intersection of the interference direction finding lines are most concentrated is taken as the position of the interference source. First, identify the interfered sampling points according to the characteristics of external interference; secondly, calculate the "average evolved Node B (Evolved NodeB, eNB) antenna angle of arrival" based on the angle-of-arrival (AOA) interval in the sampling point data. , and combined with the actual azimuth angle of the cell in the configuration information of the base station, the angle information between the interferer and each interfered cell is obtained. Finally, based on the idea that the intersection density at the intersection location is proportional to the data quality of the intersection location, the data quality metric evaluation is carried out on the target estimated location points generated by each measurement value in the two-dimensional space, and it is determined that the measurement value affects the interference Contribution of source location results, accurate location of interference sources.

The invention can effectively eliminate the adverse effects of low-quality measurement values on the positioning results, improve the positioning accuracy of external interference sources, and achieve the unity of sufficiency and rationality in the utilization of measurement data.

FIG. 3 shows a schematic flowchart of a method for locating an interference source according to another embodiment of the present invention. As shown in FIG. 3 , the method for locating an interference source according to an embodiment of the present invention includes the following steps:

Step 1: Extract the traffic statistics of the interfering cells

In the daily optimization, through the analysis of the cell traffic statistics, the interference situation of the whole network cells and the preliminary judgment of the interference type can be initially obtained. For example, regional interference, local interference, cell-level interference, etc.

Perform long-term (at least 24 hours) uplink interference band statistics on interfered cells, such as: interference noise floor intensity ≥ -110dbm and neighboring cells, and find the regularity of the occurrence of interference (occurring and disappearing at the same time), statistics List of cells interfered by the same interferer.

Step 2: Collect MR data of interfering cells

MR measurement is an important function of a Time Division Long Term Evolution (TD-LTE) system, and the measurement result reported by the physical layer can be used for system operation and maintenance, and to observe the running state of the system. The measurement report data mainly comes from a user equipment (User Equipment, UE) and the physical layer of the eNodB, a radio link layer control protocol (Radio Link Control, RLC) layer, and a measurement report generated by calculation in the process of radio resource management. In the process of external interference optimization, MR data, as the most accurate measurement data, plays a very important role.

According to the results obtained from the analysis in step 1, extract the MR data of each interfered cell (the original measurement data is directly reported to the wireless operation and maintenance center (Operation & Maintenance Center-Radio, OMC-R) and stored in the form of sample data), involving as shown in Table 1 The main fields shown.

Table 1

MR.LteScRSRP: defined as the linear average of the power (W) of the resource element (RE) carrying the cell-specific reference signal on the frequency band under consideration for measurement, and is the main indicator reflecting the coverage of the serving cell.

MR.ReceivedIPower: Defined as the interference power over a physical resource block (PRB) bandwidth, including thermal noise.

MR.LteScAOA: Defines a user's estimated angle counterclockwise relative to the reference direction.

Step 3: Extract the base station configuration file

Base station configuration files are an important source of basic data in daily optimization, and play an important role in network optimization. In the interference investigation, the longitude, latitude and antenna azimuth of each cell are extracted from the base station configuration file to calculate the direction finding line angle of the interference source.

Step 4: Calculate the angle information of the interferer and the interfered cell

According to the original sampling point data of the measurement report original (MRO) extracted in step 2, the sampling points with MR.LteScRSRP>=-90dBm and MR.LteScRIP>=-105dBm are selected according to the empirical value as the sampling points subject to external interference , the AOA measurement statistics were constructed using the segmented interval of MR.LteScAOA.

AOA measurement statistics divide the interference sampling points into 72 intervals, namely AOA00 to AOA71, and each interval represents an included angle of 5 degrees. Take the antenna normal angle as AOA00 to count the angles of users in the cell. AOA to and azimuth deviation statistics table shown in Table 2.

Table 2

Combined with the above sampling point interval division, the "average eNB antenna arrival angle" is calculated as the angle information θ between the interfered cell and the interferer.

When calculating the "Average eNB Antenna Angle of Arrival", the 72 sections are divided into 2 parts (AOA_00-AOA_35 and AOA_36-AOA_71). Among them, the weight coefficient of AOA_00-AOA_35 takes the value of the interval median (that is, the azimuth deviation of the interval/2), and the coefficient value of AOA_36-AOA_71 is based on the original median minus 360 (that is, the interval azimuth deviation/2) -360).

The calculation formula (1) is as follows:

Average eNB antenna angle of arrival = (2.5*AOA_00+...+177.5*AOA_35+(-177.5)*AOA_36+...+(-2.5)*AOA_71)/(AOA_00+...+AOA_35+AOA_36+...+AOA_71) (1)

It should be noted that Table 2 is just an example, and the data of formula (1) does not completely correspond to the data of Table 2, but does not affect the idea of the present invention.

Step 5: Calculate the coordinates of the intersection of the direction finding lines

Connect the interfered cell and the interference source to form a direction finding line, and calculate an example of the intersection coordinates of any two direction finding lines, as shown in Figure 4.

S _i (x _i , y _i ), S _j (x _i , y _i ) are the coordinates of two cells in the N (N>=3) interfered cells arbitrarily selected; θ _i , θ _j are the coordinates of step 4 The calculated angle information of the interferer and the interfered cell (calculated according to the average eNB antenna arrival angle and the actual configuration of the cell's antenna azimuth), according to the coordinates of the interfered cell and the angle information between the interferer and the interferer, a measurement line can be formed , E _ij (x _ij , y _ij ) is the coordinate of the intersection of the two direction finding lines.

Then there is the following relation (2):

Relational formula (3) is sorted out:

The intersection coordinates E _ij (x _ij , y _ij ) of the two direction finding lines can be obtained. Similarly, the intersection coordinates of multiple direction finding lines can be obtained.

In addition, MR.AOA (eNB Antenna Angle of Arrival) defines the estimated angle of the user equipment in the counterclockwise direction with respect to the reference direction. In the mobile group specification standard, it is stipulated that the reference direction should be the north direction. The MR.AOA measurement needs to be matched with the azimuth of the antenna configuration of the cell. The azimuth of the antenna configuration represents the angle between the antenna normal direction and the true north direction (counterclockwise rotation).

As shown in Figure 5, there is the following expression (4):

AoA = Ω _BS + θ _AOA (4)

Among them, AoA is the angle between the incident direction of the terminal and the north direction, Ω _BS is the angle between the normal direction of the cell antenna and the north direction, and θ _AOA is the angle between the incident direction of the terminal and the normal direction of the base station.

Step 6: Clustering and dividing the intersection points of direction finding lines

Find the sum of distances for each intersection:

The distance from any intersection E _ij (i,j∈[1,2,..,N]; i≠j) to all other intersections and the expression D _ij are Expression (5):

Find the minimum of the distance sum, as in expression (6):

D _min =min(D _ij ) (6)

Then the data quality of any intersection E _ij can be measured by the following formula, such as expression (7):

The larger the γ _ij is, the higher the density of the intersection points it belongs to, and the more the number of intersection points around E _ij is.

Set the density test threshold X ₀ (0<X ₀ <1). For the intersection point E _ij that is smaller than the test threshold, because of its small density, it is inconsistent with the trend presented by most of the other intersection points, and is discarded as an outlier.

The above steps are repeated to complete the clustering process of the intersection points of direction finding lines with high density.

Step 7: Calculate the location coordinates of the external interference source

The position estimation of the interference source takes the mean value of the coordinates of each intersection point in step 6, such as expression (8):

In the formula, n is the number of intersection points after clustering, ( _xi , y _i ) are the coordinates of the intersection points, and (x _e , y _e ) are the position coordinates of the interference source.

In the embodiment of the present invention, the data quality metric evaluation is performed on the target estimated position points generated by each measurement value in the two-dimensional space, and the contribution of the measurement value to the interference source positioning result is determined; at the same time, the clustering idea is introduced to complete the high-quality Real-time screening of location data, and accurate positioning of interference sources based on high-quality data. This algorithm can effectively eliminate the adverse effects of low-quality measurement values on the positioning results and improve the positioning accuracy.

The invention makes up for the problems of low efficiency and low accuracy in the existing manual investigation of external interference sources, and realizes remote, intelligent and precise investigation of external interference sources. For external interference sources, such as jammers, blockers, and pseudo base stations, precise positioning is achieved. Improve the work efficiency of external interference investigation.

FIG. 6 shows a schematic structural diagram of a device for locating an interference source according to an embodiment of the present invention. As shown in FIG. 6 , the device for locating an interference source according to an embodiment of the present invention includes the following modules:

A data acquisition module 701, configured to acquire traffic statistics data, measurement report MR data and base station configuration data of the interfered cell;

An angle determination module 702, configured to determine the angle between the interfered cell and the interferer according to the traffic statistics data, MR data and base station configuration data of the interfered cell;

The intersection coordinate determination module 703 is used to connect any two interfered cells and the interferer to form two direction finding lines, and determine the intersection coordinates of any two direction finding lines according to the angle between the interfered cell and the interferer ;

A minimum value determination module 704, configured to determine the sum of the distances from any intersection to all other intersections according to the coordinates of the intersection, and to determine the minimum value in the sum of all distances;

a quality index determination module 705, configured to determine the quality index of the intersection point according to the sum and minimum value of all distances;

An intersection selection module 706, configured to select an intersection corresponding to a quality index not less than a preset quality threshold;

The location determination module 707 is configured to determine the location of the interference source according to the selected intersection point.

In one embodiment, the location determination module 707 is specifically configured to use the coordinate mean value of the selected intersection points as the location coordinates of the interference source.

In one embodiment, the intersection coordinate determination module 703 is specifically configured to determine whether the intersection coordinates of the direction finding lines of all interfered cells and the interferer have been determined;

If no, connect any two undetermined interfered cells and the interferer to form two direction finding lines, and determine the intersection coordinates of any two direction finding lines according to the angle between the interfered cell and the interferer;

Until the intersection coordinates of the direction finding lines of all interfered cells and the interferer are determined.

In one embodiment, the data acquisition module 701 is specifically configured to acquire traffic statistics of all cells;

The interfered cell is determined according to the traffic statistics of all cells.

In one embodiment, the angle determination module 702 is specifically configured to determine the angle of arrival of the antenna of the interfered cell according to the traffic statistics data, MR data and base station configuration data of the interfered cell;

Divide the angle of arrival of the antenna into a preset number of intervals, and determine the azimuth angle deviation and weight coefficient of each interval;

Determine the average angle of arrival of the antenna according to the azimuth angle deviation and weight coefficient of the interval;

The average angle of arrival of the antenna is taken as the angle between the interfered cell and the interferer.

In one embodiment, the angle determination module 702 is specifically configured to determine the antenna azimuth of the interfered cell according to the traffic statistics data of the interfered cell and the base station configuration data;

Determine the angle between the incident direction of the terminal and the normal direction of the base station according to the MR data;

The antenna arrival angle of the interfered cell is determined according to the antenna azimuth angle of the interfered cell and the angle between the incident direction of the terminal and the normal direction of the base station.

In one embodiment, the intersection coordinate determination module 703 is specifically configured to determine the coordinates of the interfered cell according to the configuration data of the base station.

In one embodiment, the quality index determination module 704 is specifically configured to calculate the ratio of the minimum value to the sum of all distances, and use the ratio as the quality index of the intersection.

In one embodiment, the data acquisition module 701 is specifically configured to obtain the reference signal received power of the interfered cell, the received interference power of the interfered cell, and the antenna angle of arrival of the interfered cell.

In the embodiment of the present invention, firstly, the interfered sampling points are identified according to the characteristics of external interference; secondly, the "average eNB antenna arrival angle" is calculated based on the antenna arrival angle interval in the sampling point data, and combined with the actual azimuth of the cell in the base station configuration information angle, to obtain the angle information between the interferer and each interfered cell. Finally, based on the idea that the intersection density at the intersection location is proportional to the data quality of the intersection location, the data quality metric evaluation is carried out on the target estimated location points generated by each measurement value in the two-dimensional space, and it is determined that the measurement value affects the interference. Contribution of source location results, accurate location of interference sources. According to the embodiment of the present invention, the adverse effects of low-quality measurement values on the positioning result can be effectively eliminated, the positioning accuracy of external interference sources is improved, and the utilization of measurement data can achieve unity of sufficiency and rationality.

In addition, the interference source locating method according to the embodiment of the present invention described in conjunction with FIG. 2 may be implemented by an interference source locating device. FIG. 7 shows a schematic diagram of a hardware structure of a device for locating an interference source provided by an embodiment of the present invention.

Computing device 1000 includes input device 1001 , input interface 1002 , processor 1003 , memory 1004 , output interface 1005 , and output device 1006 .

The input interface 1002, the processor 1003, the memory 1004, and the output interface 1005 are connected to each other through the bus 1010, and the input device 1001 and the output device 1006 are respectively connected to the bus 1010 through the input interface 1002 and the output interface 1005, and then to the computing device 1000. other components are connected.

Specifically, the input device 1001 receives input information from the outside, and transmits the input information to the processor 1003 through the input interface 1002; the processor 1003 processes the input information based on the computer-executable instructions stored in the memory 1004 to generate output information, The output information is temporarily or permanently stored in the memory 1004, and then transmitted to the output device 1006 through the output interface 1005; the output device 1006 outputs the output information to the outside of the computing device 1000 for the user to use.

The computing device 1000 can execute the steps in the interference source locating method described above in this application.

The processor 1003 may be one or more central processing units (English: Central Processing Unit, CPU). In the case where the processor 601 or the processor 701 is a CPU, the CPU may be a single-core CPU or a multi-core CPU.

The memory 1004 may be, but is not limited to, one of random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM), compact disk read only memory (CD-ROM), hard disk, etc. or variety. Memory 1004 is used to store program codes.

It can be understood that, in this embodiment of the present application, the functions of any or all of the processing modules provided in FIG. 6 may be implemented by the central processing unit 1003 shown in FIG. 7 .

Embodiments of the present invention further provide a computer-readable storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, each step in the method for locating an interference source described in the embodiments of the present invention is implemented .

In the above-mentioned embodiments, it may be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented in whole or in part in the form of a computer program product, the computer program product includes one or more computer instructions. When the computer program instructions are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer may be a general purpose computer, special purpose computer, computer network, or other programmable device. The computer instructions may be stored in or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be downloaded from a website site, computer, server or data center Transmission to another website site, computer, server, or data center by wire (eg, coaxial cable, fiber optic, digital subscriber line (DSL), or wireless (eg, infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, a data center, or the like that includes an integration of one or more available media. The usable media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk (SSD)), among others.

Each part of this specification is described in a progressive manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the points that are different from other embodiments. In particular, as for the apparatus and system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for related parts, please refer to the descriptions in the method embodiments.

Claims (12)

1. A method of interferer location, the method comprising:

acquiring telephone traffic statistical data, measurement report MR data and base station configuration data of an interfered cell;

determining an angle between the interfered cell and an interference source according to the traffic statistic data, the MR data and the base station configuration data of the interfered cell;

connecting any two interfered cells with the interference source to form two direction-finding lines, and determining intersection point coordinates of any two direction-finding lines according to an angle between the interfered cells and the interference source;

determining the sum of the distances from any one intersection point to all other intersection points according to the intersection point coordinates, and determining the minimum value of the sum of all the distances;

determining the quality index of the intersection point according to the sum of all the distances and the minimum value;

selecting an intersection point corresponding to the quality index which is not less than a preset quality threshold value;

and determining the position of the interference source according to the selected intersection point.

2. The method of claim 1, wherein determining the location of the interferer based on the selected intersection comprises:

and taking the coordinate mean value of the selected intersection point as the position coordinate of the interference source.

3. The method of claim 1, further comprising:

judging whether the coordinates of the intersection points of all the interfered cells and the direction-finding lines of the interference source are determined;

if not, connecting any two undetermined interfered cells with the interference source to form two direction-finding lines, and determining the intersection point coordinates of any two direction-finding lines according to the angle between the interfered cells and the interference source;

until the coordinates of the intersection points of all the interfered cells and the direction-finding lines of the interference source are determined.

4. The method of claim 1, further comprising:

acquiring traffic statistic data of all cells;

and determining the interfered cell according to the traffic statistic data of all the cells.

5. The method of claim 1, wherein the determining the angle between the interfered cell and an interferer according to the traffic statistics, MR data, and base station configuration data for the interfered cell comprises:

determining the antenna arrival angle of the interfered cell according to the traffic statistic data, the MR data and the base station configuration data of the interfered cell;

dividing the arrival angle of the antenna into intervals with preset number, and determining the azimuth deviation and weight coefficient of each interval;

determining the mean value of the arrival angles of the antennas according to the azimuth angle deviation and the weight coefficient of the interval;

and taking the antenna arrival angle mean value as an angle between the interfered cell and an interference source.

6. The method of claim 5, wherein the determining the antenna angle of arrival of the interfered cell according to the traffic statistics, MR data and base station configuration data of the interfered cell comprises:

determining an antenna azimuth angle of the interfered cell according to the telephone traffic statistical data and the base station configuration data of the interfered cell;

determining an included angle between the terminal incidence direction and the base station normal direction according to the MR data;

and determining the antenna arrival angle of the interfered cell according to the antenna azimuth angle of the interfered cell and the included angle between the terminal incidence direction and the normal direction of the base station.

7. The method of claim 1, further comprising:

and determining the coordinates of the interfered cell according to the base station configuration data.

8. The method of claim 1, wherein determining the quality indicator of the intersection point according to the sum of all the distances and the minimum value comprises:

and calculating the ratio of the minimum value to the sum of all the distances, and taking the ratio as the quality index of the intersection point.

9. The method according to any one of claims 1-8, wherein the MR data includes:

the reference signal received power of the interfered cell, the received interference power of the interfered cell, and the antenna arrival angle of the interfered cell.

10. An interference source locating apparatus, the apparatus comprising:

the data acquisition module is used for acquiring telephone traffic statistical data, measurement report MR data and base station configuration data of the interfered cell;

an angle determining module, configured to determine an angle between the interfered cell and an interference source according to the traffic statistics data, MR data, and base station configuration data of the interfered cell;

the intersection point coordinate determination module is used for connecting any two interfered cells with the interference source to form two direction-finding lines and determining the intersection point coordinate of any two direction-finding lines according to the angle between the interfered cells and the interference source;

the minimum value determining module is used for determining the sum of the distances from any one intersection point to all other intersection points according to the intersection point coordinates and determining the minimum value of the sum of all the distances;

the quality index determining module is used for determining the quality index of the intersection point according to the sum of all the distances and the minimum value;

the intersection point selection module is used for selecting an intersection point corresponding to the quality index which is not less than a preset quality threshold value;

and the position determining module is used for determining the position of the interference source according to the selected intersection point.

11. An interferer locating device, comprising: at least one processor, at least one memory, and computer program instructions stored in the memory that, when executed by the processor, implement the method of any of claims 1-9.

12. A computer-readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1-9.

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