Interference source positioning method and interference source positioning device

Abstract

An embodiment of the present invention provides an interference source positioning method and an interference source positioning device, the interference source positioning method comprising: obtaining at least one first target cell that is interfered with; clustering the at least one first target cell to obtain multiple interference clusters based on the time information and / or frequency information of the at least one first target cell being interfered with, wherein the consistency of the time when the first target cells in the same interference cluster are interfered with is greater than a first preset threshold, and / or the similarity of the interference waveforms is greater than a second preset threshold; based on the information of the first target cell in the first interference cluster, locating the first interference source of the first interference cluster, wherein the first interference cluster is one of the multiple interference clusters.

Description

Technical Field

[0001] The present application relates to the field of wireless technology, and in particular to an interference source locating method and an interference source locating device. Background Art

[0002] At present, wireless network systems are extremely susceptible to interference from various external devices, such as signal amplifiers, jammers, and various radio transmitters.

[0003] The current interference source positioning method mainly relies on experience or auxiliary systems to locate the interference source, which is highly dependent on manual work, and the auxiliary system is not accurate enough in locating the interference source. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide an interference source positioning method and an interference source positioning device, which can solve the problem of inaccurate interference source positioning.

[0005] To solve the above technical problems, the embodiments of the present application are implemented through the following aspects.

[0006] In the first aspect, an embodiment of the present invention provides an interference source locating method, comprising: obtaining at least one first target cell that is interfered with; clustering the at least one first target cell to obtain multiple interference clusters based on the time information and / or frequency information of the at least one first target cell being interfered with, wherein the consistency of the time when the first target cells in the same interference cluster are interfered with is greater than a first preset threshold, and / or the similarity of the interference waveforms is greater than a second preset threshold; based on the information of the first target cell in the first interference cluster, locating the first interference source of the first interference cluster, wherein the first interference cluster is one of the multiple interference clusters.

[0007] In the second aspect, an embodiment of the present invention provides an interference source locating device, including: an acquisition module, used to acquire at least one first target cell that is interfered with; a clustering module, used to cluster the at least one first target cell according to the time information and / or frequency information of the at least one first target cell being interfered with, to obtain multiple interference clusters, wherein the consistency of the time when the first target cells in the same interference cluster are interfered with is greater than a first preset threshold, and / or the similarity of the interference waveforms is greater than a second preset threshold; a positioning module 330, used to locate the first interference source of the first interference cluster according to the information of the first target cell in the first interference cluster, wherein the first interference cluster is one of the multiple interference clusters.

[0008] In a third aspect, an embodiment of the present invention provides a terminal device, comprising: a memory, a processor, and computer executable instructions stored in the memory and executable on the processor, wherein the computer executable instructions, when executed by the processor, implement the steps of the first interference source locating method as described in the first aspect above.

[0009] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store computer-executable instructions, and when the computer-executable instructions are executed by a processor, the steps of the interference source locating method as described in the first aspect above are implemented.

[0010] In an embodiment of the present application, by acquiring at least one first target cell that is interfered with; clustering the at least one first target cell according to the time information and / or frequency information of the interference to the at least one first target cell; locating the first interference source of the first interference cluster according to the information of the first target cell in the first interference cluster, the positioning of the interference source can be made more accurate, and is suitable for troubleshooting interference sources of interfered cells under different network standards, and can also be used for troubleshooting mobility interference sources. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0012] Figure 1 It is a flow chart of the interference source positioning method disclosed in the embodiment of the present application;

[0013] Figure 2 is a schematic diagram of a method for determining a suspected position of a first interference source disclosed in an embodiment of the present application;

[0014] Figure 3 It is a structural schematic diagram of an interference positioning device disclosed in an embodiment of the present application;

[0015] Figure 4 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0016] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0017] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first" and "second" are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally represents that the objects associated with each other are in an "or" relationship.

[0018] The interference source locating method provided by the embodiment of the present application is described in detail below through specific embodiments and application scenarios in conjunction with the accompanying drawings.

[0019] Figure 1 1 is a flow chart of the interference source location method provided in the embodiment of the present application. The method 100 can be executed by a communication device. In other words, the method can be executed by software or hardware installed on the communication device. In the embodiment of the present application, the communication device can be a terminal or a network side device. Figure 1 As shown, the method may include the following steps.

[0020] S110: Acquire at least one first target cell that is interfered with.

[0021] In this step, the interfered first target cell can be obtained according to the interference data stored by the current device network management, and the interference level intensity of the first target cell is greater than the preset interference threshold (such as -100dBm) or the level increase relative to the non-interfered state is greater than the preset interference threshold (such as 10dB). In the embodiment of the present application, the interference threshold can be set according to the specific situation, and the embodiment of the present application does not make specific limitations on this.

[0022] S120: Cluster the at least one first target cell to obtain a plurality of interference clusters according to time information and / or frequency information at which the at least one first target cell is interfered with.

[0023] The consistency of the time at which the first target cells in the same interference cluster are interfered is greater than a first preset threshold, and / or the similarity of the interference waveforms is greater than a second preset threshold.

[0024] In actual situations, the start, end, and change rules of the interference time of the cells interfered by the same interference source are highly consistent. Therefore, the first target cells can be clustered according to the time domain division method. In an optional scheme, the first target cells are clustered according to the consistency of the time when the first target cells are interfered is greater than the first preset threshold. Specifically, the time when each first target cell is interfered is divided according to the time granularity (for example, 5 seconds, 1 minute, 15 minutes, 30 minutes, 60 minutes, 1 hour, 1 day, etc.), and the Boolean value is used to represent the interference value of each first target cell at each time granularity. 1 represents that the interference intensity of the first target cell is greater than the preset interference threshold, and 0 represents that the interference intensity of the first target cell is not greater than the preset interference threshold. Then, the similarity between the interference time data sequences of each first target cell is calculated (such as the correlation coefficient, or the time proportion of the same Boolean value at the same time granularity). If the similarity is greater than the first preset threshold, the corresponding first target cells can be classified into the same interference cluster. This optional solution is applicable to various network standards, such as 2G, 3G, 4G TDD, 4G FDD, NB and 5G, etc. Network cells of these different standards can therefore be divided into the same interference cluster.

[0025] Table 1 is the interference data of each first interference cell for 24 hours a day, which is statistically analyzed and characterized at a 2-hour granularity. As shown in Table 1, there are 8 first target cells. According to the interference data of the 8 first target cells, the similarity between the interference time data sequences of the 8 first target cells is calculated. If the similarity is greater than the first preset threshold, such as 90%, the corresponding first target cells are classified into the same interference cluster. As shown in Table 1, the first target cell 1 and the first target cell 2 are classified into the first interference cluster, the first target cell 3 is the second interference cluster, the first target cell 4 is classified into the third interference cluster, and the first target cell 5, the first target cell 6, the first target cell 7 and the first target cell 8 are classified into the fourth interference cluster. The calculation of similarity can be the correlation coefficient of two interference time Boolean value sequences, or the time proportion of the same Boolean value between the two interference time Boolean value sequences at the same time.

[0026] When a certain time granularity (such as 2 hours) is not enough to distinguish interference clusters, the first target cell can be divided into smaller time granularities, such as 1 hour, 30 minutes, until accurate interference clusters can be obtained. In actual work, if the daily granularity collision rate of interference clusters in the province is very low, then even the daily granularity plus the city, district, and county level can be sufficient to distinguish and generate interference clusters.

[0027] Table 1.

[0028]

[0029] In addition, under the same network standard, the interference waveforms of the first target cells interfered by the same interference source have a high degree of similarity, so the first target cells can also be clustered according to the frequency domain division method. In an optional scheme, the first target cells are clustered according to the similarity of the interference waveforms of the first target cells being interfered with being greater than a second preset threshold (such as 90%). Specifically, first use different network standards such as 2G, 3G, 4G TDD, 4G FDD, NB, 5G, etc. as their respective division ranges, and compare the interference waveforms of the first target cells in each single network standard in pairs, and separate the first target cells whose interference waveform similarity is greater than the second preset threshold into several independent interference clusters.

[0030] Taking 5G as an example, the similarity of the interference waveforms of all physical resource blocks (PRBs) of each first target cell in the interference cluster is greater than the second preset threshold. As shown in Table 2, the cell PRB interference waveform characteristic data can be the actual interference level strength value received by each PRB in the same period (method 1), can be a step value mapped according to the interference level strength value (method 2), or can be a Boolean value obtained according to the interference threshold (method 3).

[0031] Table 2.

[0032]

[0033] According to the three assignment methods in Table 2, the interference waveform data of each first interference cell PRB under the same network standard are characterized. As shown in Table 3, the first target cells include 8. According to the interference data received by the 8 first target cells, the similarity between the PRB interference waveform data sequences of the 8 first target cells is calculated. If the similarity is greater than the second preset threshold, such as 90%, the corresponding first target cells are classified into the same interference cluster. As shown in Table 3, the first target cell 11, the first target cell 12 and the first target cell 13 are classified into the sixth interference cluster, the first target cell 14 and the first target cell 15 are classified into the seventh interference cluster, and the first target cell 16, the first target cell 17 and the first target cell 18 are classified into the eighth interference cluster. The calculation of similarity can be the correlation coefficient of two PRB interference waveform data sequences, or it can be the proportion of the number of PRBs with the same interference value (such as Boolean value) between two PRB interference waveform data sequences.

[0034] Table 3.

[0035]

[0036] In one possible implementation, S120 may include: dividing the first cell of the at least one first target cell into a first interference cluster, and dividing the second cell into the first interference cluster, wherein the first cell is the cell with the strongest interference level among the at least one first target cell, the second cell is a peripheral cell of the first cell, and the degree of consistency of interference time between the second cell and the first cell is greater than a first preset threshold and / or the similarity of interference waveform is greater than a second preset threshold; when all cells around the first cell whose degree of consistency of interference time with the first cell is greater than the first preset threshold and / or the similarity of interference waveform is greater than the second preset threshold are divided into the first interference cluster, or when the distance between the cells around the first cell other than the second cell and the first cell exceeds the preset distance, stopping the division of the first interference cluster; dividing the third cell into the second interference cluster, and dividing the fourth cell into the into a second interference cluster, wherein the third cell is the cell with the strongest interference level among the cells in the at least one first target cell except the cells in the first interference cluster, and the fourth cell is a peripheral cell of the third cell, and the degree of consistency of interference time between the fourth cell and the third cell is greater than a first preset threshold and / or the similarity of interference waveforms is greater than a second preset threshold; when all cells in the periphery of the third cell whose degree of consistency of interference time with the third cell is greater than the first preset threshold and / or the similarity of interference waveforms is greater than the second preset threshold are divided into the second interference cluster, or when the distance between the cells in the periphery of the third cell except the fourth cell and the third cell exceeds the preset distance, the division of the second interference cluster is stopped; and this cycle is repeated until all the at least one first target cell is divided into one interference cluster, or until n interference clusters are divided, wherein n is an integer greater than or equal to 1.

[0037] In specific applications, whether it is time domain clustering or frequency domain clustering, the cell with the strongest interference level in the first target cell can be divided into the first interference cluster, and starting from it, from near to far, the consistency of its interference time in the time domain with the surrounding cells, or the similarity of the interference waveform characteristics in the frequency domain is analyzed one by one, so as to continuously divide the surrounding cells whose interference time consistency is greater than the first preset threshold and / or the similarity of the interference waveform is greater than the second preset threshold into the first interference cluster, and thus continuously expand the scope of the cluster until one or more surrounding cells no longer have the similarity of interference characteristics in the time domain or frequency domain with the cell with the strongest interference level, or when the distance between the analyzed cell and the strongest cell exceeds the preset distance (such as 5km), the division of the cluster is stopped, and the first complete interference cluster is generated at this time, and the time domain or frequency domain interference characteristics of all cells in the cluster are similar.

[0038] Next, the cells included in the first complete interference cluster are removed from the first target cell, and the cell with the strongest interference level in the remaining first target cell is divided into the second interference cluster, and then the above method is used until the second and more complete interference clusters are generated.

[0039] Optionally, the first target cells may be clustered in a manner of combining time domain division and frequency domain division, which will not be described in detail here.

[0040] In the embodiment of the present application, clustering is achieved by comparing the consistency or similarity of the interference feature data in the time domain or frequency domain or time-frequency domain between the first target cells. Time domain division can be applied to any wireless network of any standard without distinction, while frequency domain division performs waveform comparison within a single standard network. In the time domain, this scheme proposes the binary "switching" of interference time domain data. The basic principle is that regardless of the standard or distance, the appearance and influence of an interference source have time characteristics, and its presence or absence gives each interfered first target cell the same "timestamp". In the time domain or frequency domain, the interference value is normalized. For example, the interference value of the interfered cell is different, but as long as it exceeds the interference threshold, it can be defined as a Boolean value "1", otherwise it is "0", which facilitates the calculation of the similarity of interference characteristics between cells. Therefore, this scheme is highly versatile, suitable for various network standards and different equipment manufacturers, and is fully suitable for the interference source investigation work of the entire network, the entire standard, and the entire region, and improves the division effect of interference clusters.

[0041] S130: Position a first interference source of the first interference cluster according to information of the first target cell in the first interference cluster.

[0042] The first interference cluster is one interference cluster among the multiple interference clusters.

[0043] In a possible implementation, S130 may include: determining the weight of each second target cell according to the first parameter of each second target cell in the first interference cluster, and performing weighted averaging on the location information of each second target cell based on the weight of each second target cell to obtain the suspected location of the first interference source, and the second target cell is the first target cell in the first interference cluster. Wherein, the first parameter includes: antenna height, antenna downtilt angle, and interference level, etc., and the method is recorded as algorithm 1. Taking the first interference cluster including 3 first target cells as an example, their corresponding longitudes are a, b, and c respectively. If the interference level strength is used as the weight, when the interference level strengths corresponding to the 3 first target cells are -90dBm, -99dBm, and -100dBm respectively, the weighted average longitude is (a / 90+b / 99+c / 100) / (1 / 90+1 / 99+1 / 100), and the latitude is processed similarly to obtain the weighted average latitude of the 3 first target cells. The weighted averaged longitude and latitude are used as the longitude and latitude of the first interference source of the first interference cluster, and the longitude and latitude are used as the suspected position of the first interference source of the first interference cluster.

[0044] In addition, the weight of each first target cell may also be the antenna height h, the antenna downtilt angle θ, the increase amplitude Δ of the cell interference level relative to the non-interference state, and the combined calculation results thereof.

[0045] In one possible implementation, S130 may also include: clustering or otherwise dividing each second target cell in the first interference cluster to divide the first interference cluster into one or more first interference sub-clusters, and determining the suspected location of the first interference source based on at least one first interference sub-cluster.

[0046] In this possible implementation, determining the suspected position of the first interference source according to at least one first interference subcluster may include: obtaining a positioning point of a second interference subcluster, and using the positioning point of the second interference subcluster as the suspected position of the first interference source, wherein the second interference subcluster includes the cell with the strongest interference in the first interference cluster, or includes a majority of the top three cells in terms of interference level, and this method is recorded as Algorithm 2. In this step, obtaining the positioning point of the second interference subcluster includes: determining the weight of each of the third target cells according to the first parameter of some or all of the third target cells of the second interference subcluster, and based on the weight of each of the third target cells, performing weighted averaging on the location information of each of the third target cells to obtain the positioning point of the second interference subcluster. For example, the second interference subcluster includes three third target cells, one of which is the cell with the strongest interference. The first parameters of the three third target cells determine the weights of each third target cell. For example, the first parameter is the interference level, and the interference level intensity is used as the weight of each third target cell. The longitude and latitude of the three third target cells are weighted averaged to obtain the positioning point of the second interference subcluster, and the positioning point of the second interference subcluster is used as the suspected position of the first interference source.

[0047] Optionally, in this possible implementation, determining the suspected position of the first interference source based on at least one first interference subcluster may also include: obtaining the positioning point and positioning angle of the second interference subcluster, and determining the suspected position of the first interference source based on the positioning angles and positioning points of at least two of the second interference subclusters, wherein the second interference subcluster is one of multiple first interference subclusters, and this method is recorded as Algorithm Three.

[0048] In this scheme, the method for obtaining the positioning point of the second interference subcluster is the same as the method for obtaining the positioning point described above. Obtaining the positioning angle of the second interference subcluster may include: determining the weights of each third target cell in the part or all of the third target cells according to the first parameter of the part or all of the third target cells of the second interference subcluster, and performing a weighted merging operation (such as a similar averaging method) on the azimuth angles of the part or all of the third target cells based on the weights of the respective third target cells to obtain the positioning angle of the interference subcluster, wherein the third target cell is the first target cell in the first interference cluster.

[0049] For example, firstly, the azimuth angles of the third target cells included in the second interference subcluster are statistically analyzed, and the number of the third target cells corresponding to the azimuth angles of the same degree is counted (where the maximum count value is recorded as M), and the azimuth angle with the largest number of the same azimuth angle counts (i.e., M) in the third target cells is retained, and the azimuth angles with the same azimuth angle counts greater than the set threshold (such as M / 5) in the third target cells are retained, and the remaining azimuth angles are discarded. Then, the average values ​​of the interference level strengths received by the third target cells corresponding to the retained same azimuth angles are calculated respectively, and the azimuth angles of the third target cells corresponding to the strongest interference level strength average value are retained, and the azimuth angles with the difference between the interference level strength average value and the strongest interference level strength average value less than the set threshold (such as 5dB) are retained, and the remaining azimuth angles are discarded. Then, according to the first parameter, the weights of each third target cell in the third target cell to which the final retained azimuth angle corresponds are determined, and based on the weights of each third target cell (the weights can all be 1, i.e., no weighting), a weighted combination operation is performed on the azimuth angle of the third target cell to which the final retained azimuth angle corresponds to, so as to obtain the positioning angle of the second interference subcluster.

[0050] In a possible implementation, performing a weighted merging operation on the azimuths of some or all of the third target cells in the second interference subcluster may include: arranging the azimuths of some or all of the third target cells in order from 0 degrees to 360 degrees; calculating the angle difference between adjacent azimuths after arrangement; updating the difference between the azimuth of the fourth target cell and 360 degrees to the azimuth of the fourth target cell, wherein the fourth target cell is a third target cell with a larger azimuth among the two third target cells corresponding to the first angle difference, and the first angle difference is greater than or equal to 180 degrees; updating the difference between the azimuth of the fifth target cell and 360 degrees to the azimuth of the fifth target cell, wherein the fifth target cell is a third target cell whose azimuth before updating is greater than the azimuth before updating of the fourth target cell; averaging all the azimuths of some or all of the third target cells, if the average value is not less than zero, using the average value as the positioning angle of the second interference subcluster, if the average value is less than zero, adding 360 degrees to the average value as the positioning angle of the second interference subcluster.

[0051] For example, the azimuth angles of some or all of the third target cells in the second interference subcluster may be arranged in order from 0 degrees to 360 degrees, and the angle difference between adjacent azimuth angles may be calculated starting from the smallest azimuth angle and moving toward the largest azimuth angle. When the angle difference first appears to be greater than or equal to 180 degrees, the angle degree of the larger azimuth angle corresponding to the difference is subtracted by 360 degrees as the new angle of the corresponding third target cell, and all azimuth angles smaller than the larger initial azimuth angle until the minimum 0 degrees are kept at the initial angle value, i.e., the old angle, and the azimuth angles larger than the larger initial azimuth angle until the maximum 360 degrees are subtracted by 360 degrees as the new angle of the corresponding third target cell, and then all new angles and old angles of the above-mentioned part or all of the third target cells in the second interference subcluster are averaged. If the angle mean is not less than zero, the angle mean is used as the positioning angle of the second interference subcluster. If the angle mean is less than zero, the angle mean plus 360 degrees is used as the positioning angle of the second interference subcluster. During the above calculation process, the old angle and the new angle of the azimuth of each third target cell may be weighted and then averaged.

[0052] In a possible implementation, determining the suspected position of the first interference source according to the positioning angles and positioning points of at least two of the second interference subclusters may include: in the case where the positioning rays and / or deflection rays of each of the at least two second interference subclusters have at least one intersection, determining the suspected position of the first interference source based on the at least one intersection. Taking the second interference subcluster including the second interference subcluster A and the second interference subcluster B as an example, the positioning angles and positioning points of the second interference subcluster A and the second interference subcluster B are calculated according to the above method for calculating the positioning angles and positioning points of the second interference subcluster, and the respective positioning points are used as starting points. The respective positioning rays are determined according to the respective positioning angles. When the positioning rays of the second interference subcluster A and the second interference subcluster B have an intersection, the intersection is used as the suspected position of the first interference source. When the second interference subcluster includes multiple ones, the longitude and latitude of the intersections where the positioning rays of the multiple second interference subclusters intersect each other can be averaged or selected as the suspected position of the first interference source, and the polygonal area formed by the intersection as the vertex can also be selected as the suspected position of the first interference source.

[0053] Optionally, determining the suspected position of the first interference source based on the positioning angles and positioning points of at least two of the second interference subclusters may also include: when the positioning rays and / or deflection rays of each second interference subclusters in the at least two second interference subclusters have no intersection, averaging the position information of the positioning points of each second interference subclusters in at least two of the second interference subclusters to obtain the suspected position of the first interference source.

[0054] like Figure 2As shown, taking the second interference subcluster including the second interference subcluster A and the second interference subcluster B as an example, when the positioning rays of the second interference subcluster A and the second interference subcluster B do not intersect, deflected rays can be introduced to determine the suspected position of the first interference source according to the following steps.

[0055] Step 1, taking the positioning ray of the second interfering subcluster A as the center line, on the basis of the positioning angle, with + / -θ1 degrees as the offset angle, emit the first ray and the second ray (i.e., the deflected ray), the first ray and the second ray may have 0, one or two intersections with the positioning ray of the second interfering subcluster B, and execute step 2;

[0056] Step 2, taking the positioning ray of the second interfering subcluster B as the center line, on the basis of the positioning angle, with + / -θ2 degrees as the offset angle, emit the third ray and the fourth ray, the third ray and the fourth ray may have 0, one or two intersections with the positioning ray of the second interfering subcluster A, and execute step 3;

[0057] Step 3, taking the average of the intersection points obtained in step 1 and step 2 or selecting the best one as the suspected position of the first interference source, if the number of intersection points obtained in step 1 and step 2 is 0, executing step 4;

[0058] Step 4, taking the average of the intersection points of the first ray, the second ray, the third ray and the fourth ray intersecting each other or selecting the best one as the suspected position of the first interference source; if the first ray, the second ray, the third ray and the fourth ray do not intersect each other, executing step 5;

[0059] Step 5, with an offset angle of + / -θ3 degrees, return to step 1, then with an offset angle of + / -θ4 degrees, execute step 2, and then execute step 3; if no intersection is obtained with the offset angles of + / -θ3 degrees and + / -θ4, the offset angles can be + / -θ5 degrees and + / -θ6, and return to execute steps 1, 2, and 3 again, until the average of the obtained intersections or the preferred one can be the suspected position of the first interference source in step 3, then stop using the new offset angle to repeat the return operation, or stop the new return execution according to reaching the return execution number threshold (such as 3 times). If the number of intersections obtained when the return execution is stopped is 0, execute step 6;

[0060] Step 6: Take the average of the positioning points of the second interference sub-cluster A and the second interference sub-cluster B as the suspected position of the first interference source.

[0061] In a possible implementation, after locating the first interference source of the first interference cluster according to the information of the first target cell in the first interference cluster, the method may further include: calculating a first distance d1 from the first target cell with the strongest interference level in the first interference cluster to the position of the first interference source; when d1>d2, determining that the predicted height of the first interference source is zero, wherein d2=h / tanθ, h is the antenna height of the first target cell with the strongest interference level, and θ is the antenna downtilt angle of the first target cell with the strongest interference level; when d1≤d2, taking the minimum value of the parameter L1 and the antenna height of each of the first target cells in the first interference cluster as the predicted height of the first interference source, wherein L1=h*(d2-d1) / d2.

[0062] Optionally, after locating the first interference source of the first interference cluster according to the information of the first target cell in the first interference cluster, the method may further include: calculating a first distance d1 from the first target cell with the strongest interference level in the first interference cluster to the position of the first interference source; and determining parameters L2 and L3 by the following formula:

[0063] L2 = h*(d2-(d1+t)) / d2, L3 = h*(d2-(d1-t)) / d2, or

[0064] L2=h*(d3-d1) / d3, L3=h*(d4-d1) / d4, where d2=h / tanθ, d3=h / tan(θ+i), d4=h / tan(θ-i), t≥0, i≥0, h is the antenna height of the first target cell with the strongest interference level, θ is the antenna downtilt angle of the first target cell with the strongest interference level, t is the distance adjustment amount, and i is the angle adjustment amount;

[0065] Then, the range of the predicted height of the first interference source is determined to be (x, y), where x is the minimum value of M and the antenna height of each of the first target cells in the first interference cluster, y is the minimum value of N and the antenna height of each of the first target cells in the first interference cluster, M is the smaller value of L2 and L3, and N is the larger value of L2 and L3.

[0066] Specifically, when t is greater than or equal to d1, the larger value of L2 and L3 is equal to h; when t is greater than or equal to d2-d1, the smaller value of L2 and L3 is equal to 0.

[0067] In the above method for determining the suspected position of the first interference source, when the longitude and latitude of each second target cell in the first interference cluster are the same, Algorithm 1 is preferred; when the suspected position of the first interference source determined by Algorithm 3 is located at the edge or outside of the first interference cluster (such as when the distance from the suspected position of the first interference source to the center of the first interference cluster exceeds 2 times the radius of the first interference cluster), Algorithm 3 is preferred, followed by Algorithm 2, and finally Algorithm 1; when the suspected position of the first interference source determined by Algorithm 3 is located inside the first interference cluster (such as when the distance from the suspected position of the first interference source to the center of the first interference cluster does not exceed 2 times the radius of the interference cluster), Algorithm 2 is preferred, followed by Algorithm 1, and finally Algorithm 3. Among them, the interference cluster radius refers to the radius of the smallest circle that can contain all the interfering cells in the cluster or half the diagonal length of the smallest rectangle, and the interference cluster center refers to the center of the smallest circle or the center of the smallest rectangle.

[0068] In the embodiment of the present application, by optimizing the above-mentioned algorithms to locate the first interference source, the first interference source can be located more quickly and accurately, regardless of whether the first interference source is located inside or at the edge of the first interference cluster, or in the external area, it can be effectively located. At present, the fastest time for troubleshooting interference sources in urban areas is 2-3 days, and the time for troubleshooting interference sources in rural areas is one to two weeks. The use of this solution can improve efficiency and success rate, and the interference source can be actually located within 1 day or even half a day.

[0069] It should be noted that the method for determining the suspected position of the first interference source includes but is not limited to the various algorithms described above, and the method for determining the suspected position of the first interference source can be flexibly selected based on actual conditions.

[0070] In one possible implementation, after locating the first interference source of the first interference cluster according to information of the first target cell in the first interference cluster, the method further includes: generating a corresponding interference solution according to interference-related information of the first interference cluster and related information of the first interference source.

[0071] In this possible implementation, a historical interference library (including interference solutions) can be established, and the interference-related information of the first interference cluster and the related information of the first interference source, and the corresponding interference solutions are saved in the historical interference library. Among them, the interference-related information of the first interference cluster includes at least one of the following: interference range, interference cluster size, number of interference sub-clusters, size of interference sub-clusters, number of interference cells, names and codes of the top three cells with the strongest interference level, interference intensity, time domain and frequency domain characteristics of interference, and change rules. The related information of the first interference source includes: the longitude and latitude position of the first interference source, the place name, the type of interference source, and the environmental information of the first interference source; the interference-related information and the related information of the first interference source and the corresponding interference solution are recorded, and the interference solution includes processing suggestions, interference source unit / address name, contact person, contact number, etc. Table 4 records different interference types and corresponding processing suggestions.

[0072] Table 4.

[0073]

[0074] In one possible implementation, after clustering the at least one first target cell to obtain multiple interference clusters, the method may further include: determining whether historical interference cluster information matching the interference-related information of each interference cluster in the multiple interference clusters is recorded; if so, obtaining relevant information of the first interference source corresponding to the matching historical interference cluster information and an interference solution.

[0075] In actual work, some mobile interference sources will also appear, such as bus intervention equipment that may cause strong interference to FDD 900M. Real-time interference second-level monitoring found that FDD cells occasionally have strong interference of about 20s (interference level strength is -80dBm), and it was confirmed that it was an interference source moving along the main roads in the urban area. Analysis shows that after the mobile interference source appears, the average increase of a large number of cells throughout the day is not large, with a maximum of about 4dB, such as from the daily -117dBm to -113dBm. The interference is intermittent burst strong interference, which only has a significant increase at the second level, and the strongest interference base station is not the same at different times. At the same time, it can be observed that the distribution of the target cells affected by the interference is close to the main roads in the urban area. The mobile interference source was finally determined to be the "driver behavior intervention device" installed inside the bus cab, which is installed to prevent the driver from using the mobile phone, and its function has electromagnetic interference capabilities.

[0076] In short, this interference is a difficult problem of intermittent (seconds) + mobility + multiple interference sources. Its typical characteristics are: intermittent, irregular strong interference, and sudden disappearance after about 20 seconds. Mobility only occurs on problem buses, and the problem area is concentrated on the main roads, where a large number of bus routes are located.

[0077] Therefore, in one possible implementation, after S130, the method may further include: determining whether the position combination of interference sources corresponding to the interference occurring in different time units overlaps or is adjacent to the direction of the traffic line; if so, determining that the interference sources corresponding to the interference occurring in the different time units are mobility interference sources, wherein the time units include seconds.

[0078] Specifically, for the location of the mobility interference source, the first target cell where the interference appears and disappears simultaneously in the time domain can be used as the first interference cluster, and the simultaneous appearance and disappearance of the interference refers to the statistical value of the interference level of the first target cell at a certain time granularity (such as the absolute value or level rise amplitude at the second level), which has a high consistency in time change, and the consistency is greater than the first preset threshold. Similarly, the first target cell of the first interference cluster can also be distinguished and screened in combination with the similarity of the frequency domain waveform of the interference. Then, the first interference clusters appearing in different time units are analyzed and found, the suspected positions of the interference sources of each first interference cluster are calculated, and then clustering algorithms such as DBSCAN are used to cluster the suspected positions of the interference sources of all the first interference clusters, and the position combination of the interference sources corresponding to the interference appearing in different time units is obtained. The position combination of the interference source is compared with the traffic route to determine whether it overlaps or is adjacent to the direction of the traffic route. If so, it is determined that the interference source of the interference appearing in the different time units is a mobility interference source.

[0079] This application clusters the first target cell in the time domain and / or frequency domain by the consistency of the time when the first target cell in the same interference cluster is interfered with being greater than the first preset threshold, and / or the similarity of the interference waveform of the first target cell in the frequency domain being greater than the second preset threshold, which is suitable for the interference source investigation work of the whole network, all standards, and all regions, and effectively improves the work efficiency. By optimizing one of the three algorithms, the first interference source is located, the calculation is efficient, and the positioning is accurate. In addition, the establishment of a historical interference library (including interference solutions) enables the interference cluster to be quickly compared with the historical interference data, so as to find the solution of the interference cluster that appears again faster, greatly reducing the manual repeated participation and improving the efficiency of the investigation and solution of the interference source.

[0080] Based on the interference source positioning method described above, the present application embodiment discloses an interference source positioning device 300, such as Figure 3 As shown, the device 300 mainly includes:

[0081] An acquisition module 310 is used to acquire at least one first target cell that is interfered with;

[0082] A clustering module 320, configured to cluster the at least one first target cell to obtain a plurality of interference clusters according to the time information and / or frequency information of the at least one first target cell being interfered with, wherein the consistency of the time at which the first target cells in the same interference cluster are interfered with is greater than a first preset threshold, and / or the similarity of the interference waveforms is greater than a second preset threshold;

[0083] The positioning module 330 is used to locate the first interference source of the first interference cluster according to the information of the first target cell in the first interference cluster, wherein the first interference cluster is one interference cluster among the multiple interference clusters.

[0084] In a possible implementation, the clustering module 320 is further used to divide the first cell of the at least one first target cell into a first interference cluster, and divide the second cell into the first interference cluster, wherein the first cell is the cell with the strongest interference level among the at least one first target cell, the second cell is a peripheral cell of the first cell, and the degree of consistency of interference time between the second cell and the first cell is greater than a first preset threshold and / or the similarity of interference waveform is greater than a second preset threshold; when the cells around the first cell whose degree of consistency of interference time with the first cell is greater than the first preset threshold and / or the similarity of interference waveform is greater than the second preset threshold are all divided into the first interference cluster, or when the distance between the cells around the first cell, except the second cell, and the first cell exceeds the preset distance, stop dividing the first interference cluster; divide the third cell into the second interference cluster, and divide the fourth cell into the second interference cluster. Divided into a second interference cluster, wherein the third cell is the cell with the strongest interference level among the cells in the at least one first target cell except the cells in the first interference cluster, and the fourth cell is a peripheral cell of the third cell, and the degree of consistency of interference time between the fourth cell and the third cell is greater than a first preset threshold and / or the similarity of interference waveforms is greater than a second preset threshold; when all cells around the third cell whose degree of consistency of interference time with the third cell is greater than the first preset threshold and / or the similarity of interference waveforms is greater than the second preset threshold are divided into the second interference cluster, or when the distance between the cells around the third cell except the fourth cell and the third cell exceeds the preset distance, the division of the second interference cluster is stopped; and this cycle is repeated until all the at least one first target cell is divided into one interference cluster, or until n interference clusters are divided, wherein n is an integer greater than or equal to 1.

[0085] In one possible implementation, the positioning module 330 is also used to determine the weights of each second target cell in the first interference cluster based on the first parameters of each second target cell, and based on the weights of each second target cell, perform weighted averaging on the location information of each second target cell to obtain the suspected position of the first interference source, wherein the first parameters include: antenna height, antenna downtilt angle, and interference level, and the second target cell is the first target cell in the first interference cluster; or, cluster the second target cells in the first interference cluster, or divide them in other ways to divide the first interference cluster into multiple first interference sub-clusters, and determine the suspected position of the first interference source based on at least one first interference sub-cluster.

[0086] In one possible implementation, the positioning module 330 is further used to obtain the positioning point of the second interference subcluster, and use the positioning point of the second interference subcluster as the suspected position of the first interference source, wherein the second interference subcluster includes the cell with the strongest interference, or includes a majority of the top three cells with the strongest interference level; or, obtain the positioning point and positioning angle of the second interference subcluster, and determine the suspected position of the first interference source based on the positioning angles and positioning points of at least two of the second interference subclusters, wherein the second interference subcluster is one of multiple first interference subclusters.

[0087] In one possible implementation, the positioning module 330 is also used to determine the weights of each third target cell in some or all of the third target cells of the second interference subcluster based on the first parameter of the third target cells of the second interference subcluster, and perform a weighted combination operation (such as a similar averaging method) on the azimuth angles of the part or all of the third target cells based on the weights of the third target cells to obtain the positioning angle of the interference subcluster, where the third target cell is the first target cell in the first interference cluster.

[0088] In a possible implementation, the positioning module 330 is further used to arrange the azimuths of some or all of the third target cells in order from 0 degrees to 360 degrees; calculate the angle difference between adjacent azimuths after arrangement; update the difference between the azimuth of the fourth target cell and 360 degrees to the azimuth of the fourth target cell, wherein the fourth target cell is a third target cell with a larger azimuth among the two third target cells corresponding to the first angle difference, and the first angle difference is greater than or equal to 180 degrees; update the difference between the azimuth of the fifth target cell and 360 degrees to the azimuth of the fifth target cell, wherein the fifth target cell is a third target cell whose azimuth before updating is greater than the azimuth before updating of the fourth target cell; average all azimuths of some or all of the third target cells, if the average value is not less than zero, use the average value as the positioning angle of the second interference subcluster, if the mean value is less than zero, add 360 degrees to the average value as the positioning angle of the second interference subcluster.

[0089] In one possible implementation, the positioning module 330 is also used to determine the weight of each of the third target cells according to the first parameter of some or all of the third target cells of the second interference subcluster, and based on the weight of each of the some or all of the third target cells, perform weighted averaging on the location information of each of the third target cells to obtain the positioning point of the second interference subcluster.

[0090] In one possible implementation, the positioning module 330 is also used to determine the suspected position of the first interference source based on the at least one intersection point when the positioning rays and / or deflection rays of each second interference sub-clusters in the at least two second interference sub-clusters have at least one intersection point; or, when the positioning rays and / or deflection rays of each second interference sub-clusters in the at least two second interference sub-clusters do not have an intersection point, average the position information of the positioning points of each second interference sub-clusters in at least two second interference sub-clusters to obtain the suspected position of the first interference source.

[0091] In a possible implementation, the positioning module 330 is also used to generate a corresponding interference solution based on the interference-related information of the first interference cluster and the related information of the first interference source, wherein the interference-related information includes at least one of the following: interference range, interference cluster size, number of interference sub-clusters, size of interference sub-clusters, number of interfering cells, names and codes of the top three cells with the strongest interference levels, interference intensity, time domain and frequency domain characteristics of interference, and changing rules; the related information of the first interference source includes: the latitude and longitude position of the first interference source, the location name, the type of interference source, and the environmental information of the first interference source; the interference-related information and the related information of the first interference source and the corresponding interference solution are recorded.

[0092] In one possible implementation, the clustering module 320 is also used to determine whether interference-related information matching the interference-related information of each interference cluster in the multiple interference clusters is recorded; if so, obtain relevant information of the first interference source corresponding to the matching interference-related information and an interference solution.

[0093] In a possible implementation, the positioning module 330 is also used to calculate a first distance d1 from the first target cell with the strongest interference level in the first interference cluster to the position of the first interference source; when d1>d2, the predicted height of the first interference source is determined to be zero, wherein d2=h / tanθ, h is the antenna height of the first target cell with the strongest interference level, and θ is the antenna downtilt angle of the first target cell with the strongest interference level; when d1≤d2, the minimum value of L1 and the antenna height of each of the first target cells in the first interference cluster is used as the predicted height of the first interference source, wherein L1=h*(d2-d1) / d2.

[0094] In a possible implementation, the positioning module 330 is further configured to calculate a first distance d1 from a first target cell having the strongest interference level in the first interference cluster to the position of the first interference source; and determine parameters L2 and L3 by the following formula:

[0095] L2 = h*(d2-(d1+t)) / d2, L3 = h*(d2-(d1-t)) / d2, or

[0096] L2=h*(d3-d1) / d3, L3=h*(d4-d1) / d4, where d2=h / tanθ, d3=h / tan(θ+i), d4=h / tan(θ-i), t≥0, i≥0, h is the antenna height of the first target cell with the strongest interference level, θ is the antenna downtilt angle of the first target cell with the strongest interference level, t is the distance adjustment amount, and i is the angle adjustment amount;

[0097] Determine that the range of the predicted height of the first interference source is (x, y), where x is the minimum value of M and the antenna height of each of the first target cells in the first interference cluster, y is the minimum value of N and the antenna height of each of the first target cells in the first interference cluster, M is the smaller value of L2 and L3, and N is the larger value of L2 and L3.

[0098] In one possible implementation, the positioning module 330 is also used to determine whether the position combination of the interference sources corresponding to the interference occurring in different time units overlaps or is adjacent to the predetermined traffic route direction. If so, it is determined that the interference sources of the interference occurring in the different time units are mobility interference sources, wherein the time units include seconds.

[0099] Optional, such as Figure 4 As shown, an embodiment of the present application also provides an electronic device 400, including a processor 401, a memory 402, and a program or instruction stored in the memory 402 and executable on the processor 401. When the program or instruction is executed by the processor 401, each process of the above-mentioned interference source positioning method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0100] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-mentioned interference source positioning method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0101] The processor 401 is the processor in the electronic device 400 described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0102] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run network-side device programs or instructions to implement the various processes of the above-mentioned interference source locating method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0103] An embodiment of the present application also provides a computer program product, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, each process of the above-mentioned interference source location method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0104] The above description is only an embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for locating an interference source, characterized in that: include: Acquire at least one first target cell that is interfered with; According to the time information and / or frequency information of the at least one first target cell being interfered with, clustering the at least one first target cell to obtain a plurality of interference clusters, wherein the consistency of the time at which the first target cells in the same interference cluster are interfered with is greater than a first preset threshold, and / or the similarity of the interference waveforms is greater than a second preset threshold; A first interference source of a first interference cluster is located according to information of a first target cell in a first interference cluster, wherein the first interference cluster is one interference cluster among the multiple interference clusters.

2. The method according to claim 1, characterized in that Clustering the at least one first target cell to obtain a plurality of interference clusters according to the time information and / or frequency information in which the at least one first target cell is interfered with includes: Classifying a first cell among the at least one first target cell into a first interference cluster, and classifying a second cell into the first interference cluster, wherein the first cell is a cell with the strongest interference level among the at least one first target cell, the second cell is a neighboring cell of the first cell, and the consistency degree of interference time between the second cell and the first cell is greater than a first preset threshold and / or the similarity of interference waveforms is greater than a second preset threshold; When all cells around the first cell whose interference time consistency with the first cell is greater than a first preset threshold and / or whose interference waveform similarity is greater than a second preset threshold are divided into the first interference cluster, or when the distance between the first cell and the cells around the first cell other than the second cell exceeds a preset distance, the division of the first interference cluster is stopped; Classifying the third cell into the second interference cluster, and classifying the fourth cell into the second interference cluster, wherein the third cell is a cell with the strongest interference level among the cells in the at least one first target cell except the cells in the first interference cluster, and the fourth cell is a surrounding cell of the third cell, and the consistency degree of interference time between the fourth cell and the third cell is greater than a first preset threshold and / or the similarity of interference waveforms is greater than a second preset threshold; When all cells around the third cell whose interference time consistency with the third cell is greater than a first preset threshold and / or whose interference waveform similarity is greater than a second preset threshold are divided into the second interference cluster, or when the distance between the cells around the third cell other than the fourth cell and the third cell exceeds a preset distance, the division of the second interference cluster is stopped; This process is repeated until the at least one first target cell is divided into one interference cluster, or until n interference clusters are divided, where n is an integer greater than or equal to 1.

3. The method according to claim 1, characterized in that Locating a first interference source of the first interference cluster according to information of the first target cell in the first interference cluster includes: Determine the weight of each second target cell according to the first parameter of each second target cell in the first interference cluster, and perform weighted averaging on the location information of each second target cell based on the weight of each second target cell to obtain the suspected location of the first interference source, wherein the first parameter includes: antenna height, antenna downtilt angle, and interference level, and the second target cell is the first target cell in the first interference cluster; or, The second target cells in the first interference cluster are clustered or divided in other ways to divide the first interference cluster into one to multiple first interference sub-clusters, and the suspected position of the first interference source is determined according to at least one first interference sub-cluster.

4. The method according to claim 3, characterized in that Determining a suspected position of the first interference source according to at least one first interference subcluster includes: Acquire a positioning point of a second interference subcluster, and use the positioning point of the second interference subcluster as the suspected position of the first interference source, wherein the second interference subcluster includes the cell with the strongest interference, or includes a majority of the top three cells with the strongest interference level; or, Acquire a positioning point and a positioning angle of a second interfering subcluster, and determine a suspected position of the first interference source according to the positioning angles and positioning points of at least two of the second interfering subclusters, wherein the second interfering subcluster is one of the plurality of the first interfering subclusters.

5. The method according to claim 4, characterized in that Obtaining the positioning angle of the second interference subcluster, comprising: determining the weight of each third target cell in the part or all of the third target cells according to the first parameter of the part or all of the third target cells of the second interference subcluster, and performing a weighted combination operation on the azimuth angles of the part or all of the third target cells based on the weights of the respective third target cells to obtain the positioning angle of the interference subcluster, wherein the third target cell is the first target cell in the first interference cluster; Obtaining the positioning point of the second interference subcluster includes: determining the weight of each of the third target cells according to the first parameter of some or all of the third target cells of the second interference subcluster, and performing weighted averaging on the location information of each of the some or all of the third target cells based on the weights of the some or all of the third target cells to obtain the positioning point of the second interference subcluster.

6. The method according to claim 5, characterized in that Performing a weighted combination operation on the azimuth angles of some or all third target cells in the second interference subcluster includes: Arrange the azimuth angles of some or all of the third target cells in order from 0 degrees to 360 degrees; Calculate the angle difference between adjacent azimuth angles after arrangement; Update the difference between the azimuth of the fourth target cell and 360 degrees to the azimuth of the fourth target cell, wherein the fourth target cell is the third target cell with the larger azimuth among the two third target cells corresponding to the first angle difference, and the first angle difference is greater than or equal to 180 degrees; Updating the difference between the azimuth of the fifth target cell and 360 degrees to the azimuth of the fifth target cell, wherein the fifth target cell is a third target cell whose azimuth before updating is greater than the azimuth before updating of the fourth target cell; The average of all azimuth angles of some or all of the third target cells is calculated. If the average is not less than zero, the average is used as the positioning angle of the second interference sub-cluster. If the average is less than zero, the average plus 360 degrees is used as the positioning angle of the second interference sub-cluster.

7. The method according to claim 4, characterized in that Determining the suspected position of the first interference source according to the positioning angles and positioning points of at least two of the second interference subclusters includes: In a case where the positioning rays and / or the deflection rays of each of the at least two second interfering subclusters have at least one intersection point, determining the suspected position of the first interference source based on the at least one intersection point; or, When the positioning rays and / or deflection rays of each second interference sub-clusters in the at least two second interference sub-clusters have no intersection, the position information of the positioning points of each second interference sub-clusters in the at least two second interference sub-clusters are averaged to obtain the suspected position of the first interference source.

8. The method according to any one of claims 1 to 7, characterized in that: After locating the first interference source of the first interference cluster according to the information of the first target cell in the first interference cluster, the method further includes: Generate a corresponding interference solution according to the interference-related information of the first interference cluster and the related information of the first interference source, wherein the interference-related information of the first interference cluster includes at least one of the following: interference range, interference cluster size, number of interference subclusters, size of interference subclusters, number of interference cells, names and codes of the top three cells with the strongest interference level, interference intensity, time domain and frequency domain characteristics of interference, and change rules; the related information of the first interference source includes: latitude and longitude position of the first interference source, place name, interference source type, and environmental information of the first interference source; The interference-related information, the related information of the first interference source, and the corresponding interference solution are recorded.

9. The method according to claim 8, characterized in that After clustering the at least one first target cell to obtain a plurality of interference clusters, the method further includes: It is determined whether interference related information matching the interference related information of each interference cluster in the multiple interference clusters is recorded, and if so, relevant information of the first interference source corresponding to the matching interference related information and an interference solution are obtained.

10. The method according to any one of claims 1 to 7, characterized in that: After locating the first interference source of the first interference cluster according to the information of the first target cell in the first interference cluster, the method further includes: Calculate a first distance d1 from a first target cell having the strongest interference level in the first interference cluster to the position of the first interference source; When d1>d2, the predicted height of the first interference source is determined to be zero, wherein d2=h / tanθ, h is the antenna height of the first target cell with the strongest interference level, and θ is the antenna downtilt angle of the first target cell with the strongest interference level; when d1≤d2, the minimum value of L1 and the antenna height of each of the first target cells in the first interference cluster is used as the predicted height of the first interference source, wherein L1=h*(d2-d1) / d2.

11. The method according to any one of claims 1 to 7, characterized in that: After locating the first interference source of the first interference cluster according to the information of the first target cell in the first interference cluster, the method further includes: Calculate a first distance d1 from a first target cell having the strongest interference level in the first interference cluster to the position of the first interference source; The parameters L2 and L3 are determined by the following formula: L2 = h*(d2-(d1+t)) / d2, L3 = h*(d2-(d1-t)) / d2, or L2=h*(d3-d1) / d3, L3=h*(d4-d1) / d4, where d2=h / tanθ, d3=h / tan(θ+i), d4=h / tan(θ-i), t≥0, i≥0, h is the antenna height of the first target cell with the strongest interference level, θ is the antenna downtilt angle of the first target cell with the strongest interference level, t is the distance adjustment amount, and i is the angle adjustment amount; Determine that the range of the predicted height of the first interference source is (x, y), where x is the minimum value of M and the antenna height of each of the first target cells in the first interference cluster, y is the minimum value of N and the antenna height of each of the first target cells in the first interference cluster, M is the smaller value of L2 and L3, and N is the larger value of L2 and L3.

12. The method according to any one of claims 1 to 7, characterized in that: After locating the first interference source of the first interference cluster according to the information of the first target cell in the first interference cluster, the method further includes: Determine whether the position combination of interference sources corresponding to the interference occurring in different time units overlaps or is adjacent to the direction of the traffic line. If so, determine that the interference sources of the interference occurring in the different time units are mobility interference sources, wherein the time units include seconds.

13. An interference source locating device, characterized in that: include: An acquisition module, used to acquire at least one first target cell that is interfered with; A clustering module, configured to cluster the at least one first target cell to obtain a plurality of interference clusters according to time information and / or frequency information of the at least one first target cell being interfered with, wherein the consistency of the time at which the first target cells in the same interference cluster are interfered with is greater than a first preset threshold, and / or the similarity of the interference waveforms is greater than a second preset threshold; The positioning module is used to locate the first interference source of the first interference cluster according to the information of the first target cell in the first interference cluster, wherein the first interference cluster is one interference cluster among the multiple interference clusters.

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