Interference source positioning method and device based on 5G time service signal, medium and product

Abstract

The invention discloses an interference source positioning method and device based on a 5G time service signal, a medium and a product, and the method comprises the steps: carrying out the analysis of a Beidou signal received by a base station, and obtaining a system interference library; calculating the interference field intensity of the Beidou interference source received by the base station according to the system interference library; 4 / 5G working parameter data of each base station is extracted, co-location calculation is carried out, and a co-location base station list is generated; extracting sampling data according to the co-location base station list, sorting and combining adjacent cell data of different base stations in the sampling data, and constructing a fingerprint database; performing uplink and downlink data conversion on each base station in the fingerprint database by adopting a difference algorithm, and constructing a difference fingerprint database; performing interference clustering by combining the interference field intensity of each Beidou interference source, and generating an interference power difference table of each Beidou interference source according to a difference algorithm; and matching the difference value fingerprint database with the interference power difference value table to obtain a grid group where an interference source is located, and carrying out interference source positioning. According to the scheme, accurate positioning of the interference source position can be realized.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technologies, and in particular to a method, device, medium and product for locating interference sources based on 5G timing signals. Background Art

[0002] The BeiDou satellite navigation system can provide users with high-precision and reliable positioning system navigation services at any time, regardless of climate or time of day, around the world. The BeiDou satellite navigation system not only provides great convenience for people's lives, but also has a high degree of stability. However, due to conflicts in the use of frequency bands and even malicious interference, the use of the BeiDou satellite navigation system has caused great damage. Therefore, the need to locate and find the interference source in a timely and rapid manner is very urgent and is also an important means to ensure the security of the BeiDou system.

[0003] The existing solution for locating interference sources has poor positioning accuracy and cannot accurately locate the location of the interference source. Summary of the invention

[0004] Compared with the prior art, the present invention proposes an interference source positioning method, device, medium and product based on 5G timing signal to achieve accurate positioning of the interference source.

[0005] An embodiment of the present invention provides a method for locating an interference source based on a 5G timing signal, the method comprising:

[0006] Analyze the Beidou signals received by the base station to obtain the system interference library;

[0007] Calculate the interference field strength of the Beidou interference source received by the base station according to the system interference library;

[0008] Extract 4 / 5G engineering parameter data of each base station, perform co-location calculation, and generate a list of co-location base stations;

[0009] Extracting sample data according to the co-located base station list, sorting and merging neighboring cell data of different base stations in the sample data, and building a fingerprint library;

[0010] Using a difference algorithm to convert uplink and downlink data of each base station in the fingerprint library to build a difference fingerprint library;

[0011] Combine the interference field strength of each Beidou interference source to perform interference clustering, and generate an interference power difference table of each Beidou interference source based on the difference algorithm;

[0012] The difference fingerprint library is matched with the interference power difference table to obtain the grid group where the interference source is located, and the interference source is located.

[0013] Preferably, the extracted Beidou signal is parsed to obtain a system interference library, including:

[0014] Analyze and extract Beidou signals received by all base stations;

[0015] The extracted Beidou data is sorted according to the base station name to obtain the system interference library;

[0016] The Beidou data includes Beidou satellite number and signal-to-noise ratio.

[0017] Preferably, calculating the interference field strength of the Beidou interference source received by the base station according to the system interference library includes:

[0018] Extracting Beidou signals whose signal-to-noise ratio is less than a preset first threshold value from the system interference library;

[0019] Calculate the interference field strength of Beidou signals received by different base stations.

[0020] Furthermore, the interference field strength is a difference between the field strength of the base station useful signal and the signal-to-noise ratio, and a preset receiving antenna gain.

[0021] Preferably, the 4 / 5G engineering parameter data of each base station is extracted, the co-location calculation is performed, and a list of co-location base stations is generated, including:

[0022] Use the 5G location backfill tool to obtain the corresponding sample point location information;

[0023] The obtained sample point location information is rasterized to obtain the corresponding 5G sample point grid;

[0024] The corresponding grid uses 5G sampling points to calculate the 5G engineering parameter data of different base stations;

[0025] The 5G engineering parameter data of each base station is co-located with the Beidou positioning engineering parameter data of the preset frequency band to obtain the co-located base station list.

[0026] Preferably, extracting sample data according to the co-located base station list, sorting and merging neighboring cell data of different base stations in the sample data, and building a fingerprint library includes:

[0027] Extracting the MDT data of neighboring cell signals of each base station in the co-located base station list received by the terminal to obtain sampling data of different sampling points;

[0028] Merging neighboring cells in the sampled data to generate neighboring cell signals in units of base stations;

[0029] The sampling data of the neighboring cell signal is sorted to obtain the fingerprint library.

[0030] As a preferred solution, a difference algorithm is used to convert uplink and downlink data of each base station in the fingerprint library to construct a difference fingerprint library, including:

[0031] The uplink power of the interference source is indicated based on the calculated downlink power of the cell;

[0032] Calculate the difference between the RSRP of the serving cell and the neighboring base station in the fingerprint database to obtain the RSRP difference between the serving cell and the neighboring base station at the sampling point;

[0033] Calculate the difference between the uplink power of the interference source and the interference field strength of the serving cell of the corresponding base station;

[0034] Calculate the reverse interference power of the sampling point according to the calculated RSRP difference and the corresponding difference;

[0035] The difference fingerprint library is constructed based on the reverse interference power between different base station sampling points.

[0036] Preferably, interference clustering is performed in combination with the interference field strength of each Beidou interference source, and an interference power difference table of each Beidou interference source is generated according to a difference algorithm, including:

[0037] Cluster different satellite interferences based on base stations, determine the base station areas with interference, and form satellite interference clusters;

[0038] The satellite with the largest interference field strength of the Beidou interference source in the formed satellite interference cluster is determined as the reference satellite, and the corresponding base station is the reference base station;

[0039] Extracting MRO data of a preset number of interfering base stations with the strongest interference around the reference base station;

[0040] The interference differences of several base stations with the latest distances around the reference satellite are calculated to generate the interference power difference table.

[0041] Preferably, matching the difference fingerprint library with the interference power difference table to obtain the grid group where the interference source is located and locating the interference source includes:

[0042] Matching different base stations in the difference fingerprint library with the interference power difference table;

[0043] When the power difference between a base station of a certain satellite in the difference fingerprint library and other base stations of the satellite and the power difference of a certain base station in the fingerprint library are both within a preset range, determining that the grid of the corresponding base station in the fingerprint library is the grid where the Beidou interference source is located;

[0044] When there are multiple determined grids, the ranking of the interference power of the satellite at each base station is calculated, and several base stations with the strongest interference power are selected and ranked, and the base station with the largest interference power is set as the target base station;

[0045] The power difference is used to obtain the target sector where the interference source is distributed in the target base station, and the specific location of the interference source is determined.

[0046] An embodiment of the present invention further provides an interference source positioning device based on a 5G timing signal, the device comprising:

[0047] The parsing module is used to parse the Beidou signal received by the base station to obtain the system interference library;

[0048] An interference calculation module, used to calculate the interference field strength of the Beidou interference source received by the base station according to the system interference library;

[0049] The co-location calculation module is used to extract the 4 / 5G engineering parameter data of each base station, perform co-location calculation, and generate a list of co-location base stations;

[0050] A fingerprint library construction module is used to extract sample data according to the co-located base station list, sort and merge neighboring area data of different base stations in the sample data, and construct a fingerprint library;

[0051] A difference calculation module, used for performing uplink and downlink data conversion on each base station in the fingerprint library by using a difference algorithm to construct a difference fingerprint library;

[0052] The clustering module is used to perform interference clustering based on the interference field strength of each Beidou interference source, and generate an interference power difference table of each Beidou interference source according to the difference algorithm;

[0053] The positioning module is used to match the difference fingerprint library with the interference power difference table to obtain the grid group where the interference source is located and locate the interference source.

[0054] Preferably, the parsing module is specifically used for:

[0055] Analyze and extract Beidou signals received by all base stations;

[0056] The extracted Beidou data is sorted according to the base station name to obtain the system interference library;

[0057] The Beidou data includes Beidou satellite number and signal-to-noise ratio.

[0058] Preferably, the interference calculation module is specifically used for:

[0059] Extracting Beidou signals whose signal-to-noise ratio is less than a preset first threshold value from the system interference library;

[0060] Calculate the interference field strength of Beidou signals received by different base stations.

[0061] Furthermore, the interference field strength is a difference between the field strength of the base station useful signal and the signal-to-noise ratio, and a preset receiving antenna gain.

[0062] Preferably, the co-location computing module is specifically used for:

[0063] Use the 5G location backfill tool to obtain the corresponding sample point location information;

[0064] The obtained sample point location information is rasterized to obtain the corresponding 5G sample point grid;

[0065] The corresponding grid uses 5G sampling points to calculate the 5G engineering parameter data of different base stations;

[0066] The 5G engineering parameter data of each base station is co-located with the Beidou positioning engineering parameter data of the preset frequency band to obtain the co-located base station list.

[0067] Preferably, the fingerprint library construction module is specifically used for:

[0068] Extracting the MDT data of neighboring cell signals of each base station in the co-located base station list received by the terminal to obtain sampling data of different sampling points;

[0069] Merging neighboring cells in the sampled data to generate neighboring cell signals in units of base stations;

[0070] The sampling data of the neighboring cell signal is sorted to obtain the fingerprint library.

[0071] Preferably, the difference calculation module is specifically used for:

[0072] The uplink power of the interference source is indicated based on the calculated downlink power of the cell;

[0073] Calculate the difference between the RSRP of the serving cell and the neighboring base station in the fingerprint database to obtain the RSRP difference between the serving cell and the neighboring base station at the sampling point;

[0074] Calculate the difference between the uplink power of the interference source and the interference field strength of the serving cell of the corresponding base station;

[0075] Calculate the reverse interference power of the sampling point according to the calculated RSRP difference and the corresponding difference;

[0076] The difference fingerprint library is constructed based on the reverse interference power between different base station sampling points.

[0077] Preferably, the clustering module is specifically used for:

[0078] Cluster different satellite interferences based on base stations, determine the base station areas with interference, and form satellite interference clusters;

[0079] The satellite with the largest interference field strength of the Beidou interference source in the formed satellite interference cluster is determined as the reference satellite, and the corresponding base station is the reference base station;

[0080] Extracting MRO data of a preset number of interfering base stations with the strongest interference around the reference base station;

[0081] The interference differences of several base stations with the latest distances around the reference satellite are calculated to generate the interference power difference table.

[0082] Preferably, the positioning module is specifically used for:

[0083] Matching different base stations in the difference fingerprint library with the interference power difference table;

[0084] When the power difference between a base station of a certain satellite in the difference fingerprint library and other base stations of the satellite and the power difference of a certain base station in the fingerprint library are both within a preset range, determining that the grid of the corresponding base station in the fingerprint library is the grid where the Beidou interference source is located;

[0085] When there are multiple determined grids, the ranking of the interference power of the satellite at each base station is calculated, and several base stations with the strongest interference power are selected and ranked, and the base station with the largest interference power is set as the target base station;

[0086] The power difference is used to obtain the target sector where the interference source is distributed in the target base station, and the specific location of the interference source is determined.

[0087] An embodiment of the present invention also provides an interference source positioning device based on a 5G timing signal, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements an interference source positioning method based on a 5G timing signal as described in any of the above embodiments.

[0088] An embodiment of the present invention also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a method for locating interference sources based on 5G timing signals as described in any of the above embodiments.

[0089] An embodiment of the present invention further provides a computer program product, including a computer program / instruction, which implements the steps of the method described in any of the above embodiments when executed by a processor.

[0090] Compared with the prior art, the present invention provides a method, device, medium and product for locating interference sources based on 5G timing signals, analyzes the Beidou signal received by the base station, and obtains a system interference library; calculates the interference field strength of the Beidou interference source received by the base station according to the system interference library; extracts the 4 / 5G engineering parameter data of each base station, performs co-location calculation, and generates a co-location base station list; extracts sampling data according to the co-location base station list, sorts and merges the neighboring area data of different base stations in the sampling data, and constructs a fingerprint library; uses a difference algorithm to convert uplink and downlink data of each base station in the fingerprint library, and constructs a difference fingerprint library; performs interference clustering in combination with the interference field strength of each Beidou interference source, and generates an interference power difference table of each Beidou interference source according to the difference algorithm; matches the difference fingerprint library with the interference power difference table, obtains the grid group where the interference source is located, and locates the interference source. The present application scheme can realize the precise positioning of the interference source position. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] Figure 1 It is a flow chart of a method for locating interference sources based on 5G timing signals provided by an embodiment of the present invention;

[0092] Figure 2 It is a schematic diagram of the principle of the fingerprint library positioning process provided by an embodiment of the present invention;

[0093] Figure 3 is a schematic diagram of a base station grid screening process provided by an embodiment of the present invention;

[0094] Figure 4 It is a structural schematic diagram of an interference source positioning device based on 5G timing signals provided by an embodiment of the present invention;

[0095] Figure 5 It is another structural schematic diagram of an interference source positioning device based on 5G timing signals provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0096] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0097] Beidou satellites can provide system users with high-precision and reliable positioning system navigation services at any time around the world, regardless of the climate or time of day.

[0098] Currently, a large number of existing technologies are mainly focused on using GPS to locate the calculation of other interference sources. The positioning of Beidou ground interference sources has not yet been involved.

[0099] The current user sampling point calculation and positioning methods mainly have the following problems. The advantage of the Beidou interference source passive detection positioning and tracking system is that it has scene preset functions, including frequency, power, working distance and other parameters, and supports the rapid setting of multiple devices through wired local area network or LORA wireless networking; in addition, a variety of typical scene libraries can be built according to typical application scenarios. In the newly added scenes, the interference style type, interference style, deception position, deception speed, deception method, etc. can be preset at the same time, and all files are stored in the database file. The basic characteristic parameters are used to locate the Beidou interference source based on the differences between the characteristics of other communication signals in the same frequency band, such as signal carrier frequency, modulation mode, spectrum center peak characteristics, and stable pulse repetition period and pulse width parameters. This scheme uses the angle between the antennas as θ and the angle of their intersection to locate the interference source. The positioning accuracy is poor and the interference source cannot be accurately located.

[0100] In view of the above technical problems, this application proposes a method for locating interference sources based on 5G timing signals, see Figure 1 , is a flow chart of an interference source positioning method based on 5G timing signals provided by an embodiment of the present invention, the method comprising the following steps:

[0101] Step S1, analyzing the Beidou signal received by the base station to obtain a system interference library;

[0102] Step S2, calculating the interference field strength of the Beidou interference source received by the base station according to the system interference library;

[0103] Step S3, extracting 4 / 5G engineering parameter data of each base station, performing co-location calculation, and generating a list of co-location base stations;

[0104] Step S4, extracting sample data according to the co-located base station list, sorting and merging neighboring cell data of different base stations in the sample data, and building a fingerprint library;

[0105] Step S5, using a difference algorithm to perform uplink and downlink data conversion on each base station in the fingerprint library to construct a difference fingerprint library;

[0106] Step S6, performing interference clustering in combination with the interference field strength of each Beidou interference source, and generating an interference power difference table of each Beidou interference source according to a difference algorithm;

[0107] Step S7, matching the difference fingerprint library with the interference power difference table to obtain the grid group where the interference source is located, and locating the interference source.

[0108] In the specific implementation of this embodiment, by extracting the Beidou SINR value in the base station, sorting the Beidou data of the interfered base station, obtaining the base station with the strongest interference and the corresponding satellite SINR, and obtaining the system interference library;

[0109] Calculate the interference source field strength in the system interference library according to the field strength calculation formula to determine the interference field strength received by the base station from the Beidou interference source;

[0110] In order to precisely locate Beidou interference, a fingerprint library is needed for positioning. However, at present, Beidou signal extraction is based on base stations for data collection, and the granularity is relatively large. To ensure the accuracy of positioning, the sampling point fingerprint library is used for positioning. The 4 / 5G system engineering parameters are extracted through 4 / 5G engineering parameter extraction and 4 / 5G co-location calculation, and the 4 / 5G base station co-location is calculated to form a 4 / 5G co-location base station list.

[0111] The sampled data is extracted according to the co-located base station list, and the neighboring cell data of different base stations in the sampled data are sorted and merged. That is, the FDD 1800MHz data is parsed, and the three cell data of the base station are merged, all the neighboring cells are sorted, and the three cells of the same base station are merged into one base station according to the distribution and belonging cells of the physical base station, and the fingerprint library of FDD1800MHz is generated.

[0112] The uplink and downlink data are converted using a difference algorithm. That is, the uplink data is converted into downlink data using a difference algorithm, the uplink and downlink data conversion scheme is determined, and the downlink difference fingerprint library is constructed using FDD 1800MHz data.

[0113] All base stations with interference are clustered according to the size of the interference power. The difference algorithm is used to calculate the interference power received by each base station and the power difference of the interference source at the sampling point, and an interference power difference table of Beidou interference sources is generated.

[0114] The obtained base station interference power difference table is matched with the difference fingerprint library to obtain the grid group where the interference source is located. The service cell ID corresponding to the matched grid is used to perform statistics to obtain the cell with the largest number of grids for grid filtering, so as to achieve refined positioning of the interference source.

[0115] This application solution can extract 4 / 5G base station data, and through background analysis, finely locate the location of Beidou and GPS interference sources, timely discover and troubleshoot interference sources, and achieve fine positioning of ground Beidou interference sources, solving the problem of inaccurate positioning due to large base station granularity. This case can effectively ensure the efficiency of interference source troubleshooting and provide guarantee for the precise timing of 4 / 5G base station satellites.

[0116] In another embodiment provided by the present invention, the above step S1 is specifically implemented, including the following steps:

[0117] First, the 5G Beidou interference data needs to be processed:

[0118] Since only 5G systems have Beidou signals at present, it is necessary to extract 5G Beidou data.

[0119] Extract the Beidou data received by all 5G base stations. Currently, the extracted Beidou signals are mainly Beidou satellite numbers and SINRs. The extracted Beidou data are sorted according to the base station name, SINR, and Beidou satellite number to form a 5G system Beidou interference library.

[0120] In another embodiment provided by the present invention, the step S2 specifically includes the following steps:

[0121] Currently, the Beidou Satellite Navigation System Space Signal Interface Control File Public Service Signal B1C (Version 1.0) stipulates that the minimum power of the B1C landing signal is -159dBW (-129dBm) (originating from MEO satellites) and -161dBW (originating from IGSO satellites).

[0122] It should be noted that the capture sensitivity power of the Beidou positioning chip should be less than -139dBm. In the base station Beidou timing system, the ground base station Beidou receiving power is -129dBm.

[0123] Extract all satellite data with SINR ≤ 40 and calculate the interference N. The interference of this Beidou satellite i is N i .

[0124] The formula for calculating Sinr is:

[0125] Among them, SignalPower is the field strength of the useful signal, Noise is the Gaussian white noise signal, and interfacePower is the field strength of the interference signal, that is, N i .

[0126] For the convenience of calculation, N is set as the interference field strength: N = N i +Noise.

[0127] Convert the above formula into decibels, that is, SINR = SignalPower-N.

[0128] The receiving gain of Beidou antenna is 5dB, so the sinr calculation is SINR = SignalPower-NG 接收天线增益 .

[0129] The interference signal strength is N = SignalPower-SINR-G接收天线增益 .

[0130] Taking sinr=40 as an example: N=-129-40-5=-164.

[0131] Again N = N i +Noise, then N i =-164-(-174)=10dB.

[0132] 10dB conversion success rate is 10 times, Beidou interference is 10 times of thermal noise, and Gaussian white noise can be ignored. Therefore, -164 is calculated as the interference equipment noise received by the Beidou system.

[0133] According to the above calculation process, the interference field strength received by all 5G base stations is calculated, and the data of all base stations with the strongest interference field strength are extracted. It is assumed that this base station is base station 0, and the satellite with the strongest interference field strength is numbered as satellite 1.

[0134] In another embodiment provided by the present invention, the step S3 specifically includes:

[0135] When extracting 4 / 5G engineering parameter data for co-location matching, in order to finely locate Beidou interference, it is necessary to use a fingerprint library for positioning. However, at present, Beidou signal extraction is based on base stations for data collection, and the granularity is large. To ensure the accuracy of positioning, the sampling point fingerprint library is used for positioning.

[0136] See also Figure 2 , is a schematic diagram of the principle of the fingerprint library positioning process provided by an embodiment of the present invention. The principle of fingerprint library positioning is: the interference source is virtualized as a mobile phone terminal, assuming that the interference source transmission power is N1, and the interference source field strength N0 received by the base station at this time is the uplink receiving signal field strength of the mobile phone terminal's transmission signal reaching the base station through the path loss (N1-N0). In a wireless environment, the uplink signal and the downlink signal have small frequency band differences, and the signal paths are basically the same, so the uplink and downlink path losses are basically the same. The uplink signal is converted into a downlink signal, and it can be considered that the location of the interference source is the location of the mobile phone terminal. If the base station transmits a signal of N1 according to the interference source transmission power, when it arrives here (the location of the interference source), the field strength received by the terminal is called "reverse interference sampling point receiving power", referred to as "reverse interference power"), which is N0.

[0137] If the corresponding N0 is found in the sampling point, it is the location of the interference source. Therefore, it is necessary to use the wireless network to build a fingerprint library to find the location of the interference source.

[0138] In order to make full use of the existing network data for calculation, it is necessary to use the fingerprint library for location positioning. Currently, only 4G networks have MDT data, so it is necessary to use 4G data to build a fingerprint library; but Beidou data is currently only available on 5G networks, so it is necessary to merge 4 / 5G networks to locate Beidou interference sources.

[0139] Since the BeiDou system uses B1I, B3I, B1C and other frequency bands for public use, and the 5G system mainly uses the B1I frequency band for base station timing. The center frequency of the B1 frequency band is 1561MHz, and the frequency band used by mobile operators is FDD1800MHz, which is the closest to it. In order to reduce the impact of signal propagation caused by frequency band differences, it is recommended to use FDD1800MHz as the main reference sampling data for BeiDou positioning for positioning.

[0140] Use the 5G position backfill tool to obtain the corresponding sample point location information. Rasterize the above data to obtain the 5G sample point grid corresponding to each grid, and match the corresponding grid with the 4G neighboring frequency point number, PCI, 5GTA, 5GHAOA, path loss and 4G FDD1800MHz sampling point in the 5G sampling point calculation table. The specific matching scheme has been mentioned in my relevant patent proposal and will not be mentioned separately in this proposal. By locating the co-location situation between 5G and FDD1800MHz, all base stations co-located with 5G and FDD1800MHz are calculated to build a list of base stations co-located with 5G and FDD1800MHz.

[0141] In another embodiment provided by the present invention, when the above step S4 is specifically performed, it specifically includes:

[0142] After building a list of base stations co-located with 5G and FDD1800MHz, the signals received by the 1800MHz mobile terminals can be used as the basis for building the fingerprint library. Extract the MDT data of the FDD1800MHz system and build the fingerprint library. The fingerprint library includes: SC_ECGI, SC_RSRP, SC_PCI, SC_ARFCN, NC1_RSRP, NC1_PCI, NC1_ARFCN, NC2_RSRP, NC2_PCI, NC2_ARFCN, NC3_RSRP, NC3_PCI, NC3_ARFCN, NC4_RSRP, NC4_PCI, NC4_ARFCN.

[0143] At this time, all sampling points are cell-indexed data, and Beidou signals are received in base stations, so it is necessary to merge the neighboring cells in the sampling points to generate neighboring cell signals in base stations. The data of base station 0 is sorted as the service cell, and each sampling point is processed:

[0144] The neighboring cell data except base station 0 (the base station to which the service cell belongs) are sorted and merged, and the three cells (i.e., neighboring cells) of the same base station are merged into one base station. Taking base station 1 as an example, the three cells 0, 1, and 2 of base station 1 are merged: the cell with the largest RSRP of the above three cells is used as the RSRP value of the corresponding base station, so as to realize the merging of the three cells of the base station into one base station data, i.e., the neighboring cell base station data, see Table 1.

[0145] Table 1 Base station engineering parameters

[0146]

[0147] From the working parameter table in Table 1, we can know that numbers 2, 4, and 9 are the same base station cell, numbers 3, 7, and 10 are the same base station cell, numbers 1, 5, and 11 are the same base station cell, and numbers 6, 8, and 12 are the same base station cell. The above cells are merged, and RSRP takes the maximum value to obtain the working parameter table of the neighboring base stations in Table 2 below:

[0148] Table 2 Neighboring base station engineering parameters

[0149]

[0150] According to the above-mentioned neighboring base station working parameter table, all sampling points are sorted out to generate the FDD1800MHz fingerprint library.

[0151] In another embodiment provided by the present invention, the process of constructing the difference fingerprint library in the above step S5 specifically includes:

[0152] The FDD 1800MHz fingerprint library cannot be used to locate the interference source because the transmission power of the interference source is not consistent with the transmission power of the base station.

[0153] Therefore, it is necessary to express the uplink power of the interference source based on the calculated downlink power of the cell, as follows:

[0154] First calculate the reverse interference power N = RSRP 干扰源上行 ;

[0155] RSRP 小区下行 = Cell 1 transmission power - L 路损 + Cell 1 antenna gain + user antenna receiving gain;

[0156] L 路损 = Cell 1 transmit power - RSRP 小区下行 + Cell 1 antenna gain + user antenna receiving gain;

[0157] RSRP 干扰源上行 = interference source transmission power - L 路损 +Interference source transmitting antenna gain + Beidou receiving gain;

[0158] Comprehensive calculation can get the reverse interference power RSRP 干扰源上行 Calculation formula:

[0159] RSRP 干扰源上行 = interference source transmission power - (cell 1 transmission power - RSRP 小区下行 + cell 1 antenna gain + user antenna receiving gain) + interference source transmitting antenna gain + Beidou receiving gain;

[0160] It is necessary to know the interference source transmission power, interference source transmission antenna gain, user receiving antenna gain, cell transmission antenna gain, and Beidou antenna transmission gain. Since the interference source is unknown, the user receiving antenna gain, interference source transmission power, and interference source transmission antenna gain cannot be determined. Use the difference method to calculate.

[0161] The neighboring cell signal can be tested in the MR data. The RSRP difference between the serving cell and the neighboring cell base station can be calculated by using the RSRP of the serving cell and the neighboring cell base station to obtain the RSRP difference between the serving cell and the neighboring cell base station at the sampling point. 干扰源上行 The calculation formula is to find the difference between the interference power received by the service cell 1 and the power received by the corresponding neighboring base station. Taking the service cell and base station 1 as an example: the RSRP difference between the service cell and base station 1 at the sampling point is calculated as N 0-1 .

[0162] N 0-1 =RSRP 干扰上行0 -RSRP 干扰上行1

[0163] Then N 0-1 = interference source transmission power - (cell 0 transmission power - RSRP 小区0下行 + cell 0 antenna gain + user antenna receiving gain) + interference source transmitting antenna gain + Beidou receiving gain - [interference source transmitting power - (cell 1 transmitting power - RSRP 小区1下行 + cell 1 antenna gain + user antenna receiving gain) + interference source transmitting antenna gain + Beidou receiving gain].

[0164] Since the interference source transmission power, interference source transmission antenna gain, and Beidou antenna receiving gain are the same in the formula, and the user receiving antenna gain is the point user mobile terminal receiving gain, so it is also the same, and the transmission antenna gain of different cells can be directly calculated, the difference in the interference satellite power between the two base stations (base station 0 and base station i) is N 0-1 Can be simplified to:

[0165] N 0-1 =RSRP0-base station 0 antenna gain-RSRP1+base station 1 antenna gain.

[0166] By analogy, the difference in reverse interference power between two base stations (base station 0 and base station i) is N 0-i Can be simplified to:

[0167] N 0-i =RSRP0-base station 0 antenna gain-RSRP i + Base station i antenna gain.

[0168] At this time, the gain of the base station antenna can be obtained from the engineering parameter table, so the reverse interference power difference of the sampling point can be calculated to construct a difference fingerprint library.

[0169] The constructed differential fingerprint library includes the following features: Geohash id, serving cell, base station 0id (NodeBid0), base station 1id (NodeBid1), base station 2id (NodeBid2), base station 3id (NodeBid3), base station 4 (NodeBid4), satellite 1 number, N 0-1 (the difference in interference power between satellite 1 corresponding to base station 0 and satellite 1 corresponding to base station 1), N 0-2 (the difference in interference power between satellite 1 corresponding to base station 0 and satellite 1 corresponding to base station 2), N 0-3 (the difference in interference power between satellite 1 corresponding to base station 0 and satellite 1 corresponding to base station 3), N 0-4 (the difference in interference power between satellite 1 corresponding to base station 0 and satellite 1 corresponding to base station 4), TA, longitude and latitude.

[0170] By utilizing the conversion of uplink and downlink, the downlink fingerprint library is converted into an uplink receiving fingerprint library, and the interference source is precisely located. The interference location is no longer based on drones, which solves the problem of interference source location.

[0171] In another embodiment provided by the present invention, the process of generating the interference power difference table of Beidou interference sources in the above step S6 includes:

[0172] The difference algorithm is used to calculate the Beidou interference received by each base station. In order to match the interference source, the interference source information collected by each base station needs to be transformed to achieve a refined match of the interference source location.

[0173] The collected interference database is processed in units of base stations: the data with satellite SINR ≤ 40 is taken, and the base stations corresponding to the data are extracted.

[0174] The interference power corresponding to the above base station satellites is calculated, and different satellite interferences are clustered based on base stations, and the base station areas with interference are determined to form satellite interference clusters.

[0175] The satellite with the strongest interference among the clustered interference is taken as satellite 1, and the corresponding base station is base station 0. The MRO data of the four base stations with the strongest interference power around satellite 1 are extracted.

[0176] Taking the base station as the unit and the satellite 0 obtained in the interference cluster as the benchmark, the interference difference between each satellite of the base station and the four nearest base stations is calculated to form an interference power difference table, see Table 3.

[0177] Table 3 Difference table of base station 0 interference power

[0178] This base station Satellite 1 Base Station 0 <![CDATA[Interference power difference N from base station 1 0-1 > Base Station 0 <![CDATA[Interference power difference N with base station 2 0-2 > Base Station 0 <![CDATA[Interference power difference N with base station 3 0-1 > Base Station 0 <![CDATA[Interference power difference N with base station 4 0-4 >

[0179] It should be noted that in this embodiment, only the differential power table of base station 0 is shown. The differential power table obtained in this step also includes the differential power table of the interference power difference between base station 1, base station 2, base station 3 and base station 4 and each base station, which is used to locate the interference source.

[0180] In another embodiment provided by the present invention, when locating the interference source in the above step S7, the following steps are specifically performed:

[0181] The obtained base station interference power difference table is matched with the difference fingerprint library. First, the base station ID is matched, requiring that the base station ID in the base station interference power difference table and the base station ID (NodeBid0) in the difference fingerprint library must be consistent.

[0182] Determine whether the power difference between a base station of a certain satellite in the difference fingerprint library and other base stations of the satellite and the power difference between a certain base station in the fingerprint library are within a preset range;

[0183] When the interference source power satellite 1N 0-1 (The difference in interference power between satellite 1 corresponding to base station 0 and satellite 1 corresponding to base station 1) and the power difference of a base station in the fingerprint database is ±5dB; and the interference source power satellite 1N 0-2 (The difference between the interference power of satellite 1 corresponding to base station 0 and satellite 1 corresponding to base station 2) and the power difference of the fingerprint library is ±5dB; and the interference source power satellite 1N 0-3 The difference between (the interference power difference between satellite 1 corresponding to base station 0 and satellite 1 corresponding to base station 3) and the power difference in the fingerprint library is ±5dB, that is, the grid where the base station is located in the fingerprint library corresponds to the grid where the interference source is located.

[0184] Since there may be multiple grids obtained at this time, the grids need to be further screened: see Figure 3 , is a schematic diagram of a base station grid screening process provided by an embodiment of the present invention, wherein the ranking of the interference power of satellite 1 at each base station is calculated, and the first four base stations with the strongest interference power are selected and ranked, and the base station with the maximum interference power is set to base station 0, followed by base station 1, base station 2, and base station 3;

[0185] The power difference is used to determine in which sector of base station 0 the interference source is distributed, thereby determining the specific location of the interference source.

[0186] The service cell IDs corresponding to the matched grids are used to count the four cells with the largest number of grids. The above grids are counted and the remaining grids are eliminated. The interference sources are distributed in the above corresponding grids. At this point, the refined positioning of the interference source position is completed.

[0187] At this time, the interference source is located by combining the MDT data of the 4G FDD 1800MHz system with the difference algorithm; the conversion of uplink and downlink data is fully utilized in the calculation process, and the difference fingerprint library is built in combination with the consistent characteristics of uplink and downlink path loss, and the interference source is finely located using the results of user tests. Therefore, the interference source positioning accuracy is more accurate.

[0188] The difference algorithm solves the problem of interference source power being unable to be determined. The difference algorithm circumvents the problem of interference source power calculation and the difficulty of measuring the interference source transmitting antenna, and achieves refined positioning of the interference source.

[0189] See also Figure 4 , is a schematic diagram of the structure of an interference source positioning device based on 5G timing signals provided by an embodiment of the present invention, the device comprising:

[0190] The parsing module is used to parse the Beidou signal received by the base station to obtain the system interference library;

[0191] An interference calculation module, used to calculate the interference field strength of the Beidou interference source received by the base station according to the system interference library;

[0192] The co-location calculation module is used to extract the 4 / 5G engineering parameter data of each base station, perform co-location calculation, and generate a list of co-location base stations;

[0193] A fingerprint library construction module is used to extract sample data according to the co-located base station list, sort and merge neighboring area data of different base stations in the sample data, and construct a fingerprint library;

[0194] A difference calculation module, used for performing uplink and downlink data conversion on each base station in the fingerprint library by using a difference algorithm to construct a difference fingerprint library;

[0195] The clustering module is used to perform interference clustering based on the interference field strength of each Beidou interference source, and generate an interference power difference table of each Beidou interference source according to the difference algorithm;

[0196] The positioning module is used to match the difference fingerprint library with the interference power difference table to obtain the grid group where the interference source is located and locate the interference source.

[0197] It should be noted that the interference source positioning device based on 5G timing signals provided in this embodiment can execute all the steps and functions of the interference source positioning method based on 5G timing signals provided in any of the above embodiments, and the specific functions of the device will not be described in detail here.

[0198] See also Figure 5 , is another structural diagram of an interference source positioning device based on 5G timing signals provided in an embodiment of the present invention. The interference source positioning device based on 5G timing signals includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, such as an interference source positioning program based on 5G timing signals. When the processor executes the computer program, each of the steps in the above-mentioned interference source positioning method based on 5G timing signals is implemented, for example Figure 1 Alternatively, the processor implements the functions of each module in the above-mentioned device embodiments when executing the computer program.

[0199] Exemplarily, the computer program can be divided into one or more modules, and the one or more modules are stored in the memory and executed by the processor to complete the present invention. The one or more modules can be a series of computer program instruction segments that can perform specific functions, and the instruction segments are used to describe the execution process of the computer program in the interference source positioning device based on 5G timing signals. For example, the computer program can be divided into several modules, and the specific functions of each module have been described in detail in a method for locating interference sources based on 5G timing signals provided in any of the above embodiments, and the specific functions of the device will not be repeated here.

[0200] The interference source positioning device based on 5G timing signals can be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The interference source positioning device based on 5G timing signals may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the schematic diagram is only an example of an interference source positioning device based on a 5G timing signal, and does not constitute a limitation on an interference source positioning device based on a 5G timing signal. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the interference source positioning device based on a 5G timing signal may also include input and output devices, network access devices, buses, etc.

[0201] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the interference source locating device based on 5G timing signals, and various interfaces and lines are used to connect the various parts of the interference source locating device based on 5G timing signals.

[0202] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the interference source positioning device based on 5G timing signal by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0203] Wherein, if the module integrated in the interference source positioning device based on 5G timing signal is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0204] An embodiment of the present invention further provides a computer program product, including a computer program / instruction, which implements the steps of the method described in any of the above embodiments when executed by a processor.

[0205] It should be noted that the computer program product provided in this embodiment can execute all the steps and functions of the interference source positioning method based on 5G timing signals provided in any of the above embodiments, and the specific functions of the device will not be described in detail here.

[0206] It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for locating interference sources based on 5G timing signals, characterized in that: The method comprises: Analyze the Beidou signals received by the base station to obtain the system interference library; Calculate the interference field strength of the Beidou interference source received by the base station according to the system interference library; Extract 4 / 5G engineering parameter data of each base station, perform co-location calculation, and generate a list of co-location base stations; Extracting sample data according to the co-located base station list, sorting and merging neighboring cell data of different base stations in the sample data, and building a fingerprint library; Using a difference algorithm to convert uplink and downlink data of each base station in the fingerprint library to build a difference fingerprint library; Combine the interference field strength of each Beidou interference source to perform interference clustering, and generate an interference power difference table of each Beidou interference source based on the difference algorithm; The difference fingerprint library is matched with the interference power difference table to obtain the grid group where the interference source is located, and the interference source is located.

2. The interference source positioning method based on 5G timing signal according to claim 1, characterized in that: The extracted Beidou signal is parsed to obtain the system interference library, including: Analyze and extract Beidou signals received by all base stations; The extracted Beidou data is sorted according to the base station name to obtain the system interference library; The Beidou data includes Beidou satellite number and signal-to-noise ratio.

3. The interference source positioning method based on 5G timing signal according to claim 1, characterized in that: Calculating the interference field strength of the Beidou interference source received by the base station according to the system interference library, including: Extracting Beidou signals whose signal-to-noise ratio is less than a preset first threshold value from the system interference library; Calculate the interference field strength of Beidou signals received by different base stations.

4. The interference source positioning method based on 5G timing signal according to claim 3, characterized in that: The interference field strength is the difference between the field strength of the base station useful signal and the signal-to-noise ratio, and the preset receiving antenna gain.

5. The interference source positioning method based on 5G timing signal according to claim 1, characterized in that: Extract the 4 / 5G engineering parameter data of each base station, perform co-location calculation, and generate a list of co-location base stations, including: Use the 5G location backfill tool to obtain the corresponding sample point location information; The obtained sample point location information is rasterized to obtain the corresponding 5G sample point grid; The corresponding grid uses 5G sampling points to calculate the 5G engineering parameter data of different base stations; The 5G engineering parameter data of each base station is co-located with the Beidou positioning engineering parameter data of the preset frequency band to obtain the co-located base station list.

6. The interference source positioning method based on 5G timing signal according to claim 1, characterized in that: Extracting sample data according to the co-located base station list, sorting and merging neighboring cell data of different base stations in the sample data, and building a fingerprint library, including: Extracting the MDT data of neighboring cell signals of each base station in the co-located base station list received by the terminal to obtain sampling data of different sampling points; Merging neighboring cells in the sampled data to generate neighboring cell signals in units of base stations; The sampling data of the neighboring cell signal is sorted to obtain the fingerprint library.

7. The interference source positioning method based on 5G timing signal according to claim 1, characterized in that: The difference algorithm is used to convert uplink and downlink data of each base station in the fingerprint library to construct a difference fingerprint library, including: The uplink power of the interference source is indicated based on the calculated downlink power of the cell; Calculate the difference between the RSRP of the serving cell and the neighboring base station in the fingerprint database to obtain the RSRP difference between the serving cell and the neighboring base station at the sampling point; Calculate the difference between the uplink power of the interference source and the interference field strength of the serving cell of the corresponding base station; Calculate the reverse interference power of the sampling point according to the calculated RSRP difference and the corresponding difference; The difference fingerprint library is constructed based on the reverse interference power between different base station sampling points.

8. The interference source positioning method based on 5G timing signal according to claim 1, characterized in that: Combine the interference field strength of each Beidou interference source to perform interference clustering, and generate the interference power difference table of each Beidou interference source according to the difference algorithm, including: Cluster different satellite interferences based on base stations, determine the base station areas with interference, and form satellite interference clusters; The satellite with the largest interference field strength of the Beidou interference source in the formed satellite interference cluster is determined as the reference satellite, and the corresponding base station is the reference base station; Extracting MRO data of a preset number of interfering base stations with the strongest interference around the reference base station; The interference differences of several base stations with the latest distances around the reference satellite are calculated to generate the interference power difference table.

9. The interference source positioning method based on 5G timing signal according to claim 1, characterized in that: Matching the difference fingerprint library with the interference power difference table to obtain the grid group where the interference source is located, and locating the interference source, including: Matching different base stations in the difference fingerprint library with the interference power difference table; When the power difference between a base station of a certain satellite in the difference fingerprint library and other base stations of the satellite and the power difference of a certain base station in the fingerprint library are both within a preset range, determining that the grid of the corresponding base station in the fingerprint library is the grid where the Beidou interference source is located; When there are multiple determined grids, the ranking of the interference power of the satellite at each base station is calculated, and several base stations with the strongest interference power are selected and ranked, and the base station with the largest interference power is set as the target base station; The power difference is used to obtain the target sector where the interference source is distributed in the target base station, and the specific location of the interference source is determined.

10. An interference source positioning device based on 5G timing signal, characterized in that: The device comprises: The parsing module is used to parse the Beidou signal received by the base station to obtain the system interference library; An interference calculation module, used to calculate the interference field strength of the Beidou interference source received by the base station according to the system interference library; The co-location calculation module is used to extract the 4 / 5G engineering parameter data of each base station, perform co-location calculation, and generate a list of co-location base stations; A fingerprint library construction module is used to extract sample data according to the co-located base station list, sort and merge neighboring area data of different base stations in the sample data, and construct a fingerprint library; A difference calculation module, used for performing uplink and downlink data conversion on each base station in the fingerprint library by using a difference algorithm to construct a difference fingerprint library; The clustering module is used to perform interference clustering based on the interference field strength of each Beidou interference source, and generate an interference power difference table of each Beidou interference source according to the difference algorithm; The positioning module is used to match the difference fingerprint library with the interference power difference table to obtain the grid group where the interference source is located and locate the interference source.

11. An interference source positioning device based on 5G timing signal, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a method for locating interference sources based on 5G timing signals as described in any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein, when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a method for locating interference sources based on 5G timing signals as described in any one of claims 1 to 9.

13. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method described in any one of claims 1 to 9 are implemented.

Images