GSM-R interference automatic identification method and device based on frequency sweep

Abstract

The invention discloses a frequency sweep-based GSM-R interference automatic identification method and device. The method comprises the following steps: acquiring a radio signal along a railway received by a GSM-R special antenna; decoding the radio signals along the railway through a sweep generator to obtain decoded data; performing spectrum analysis on the radio signals along the railway through a spectrum analyzer to obtain spectrum measurement data; based on the decoded data, the frequency spectrum measurement data and known cell ledger information, internal and external interferences and risks of the GSM-R network are identified respectively, and interference and risk types and interference information are determined; and the interference type and the interference information are displayed in real time through a vehicle display. According to the invention, the interference identification efficiency and the comprehensiveness and timeliness of interference identification can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of railway dynamic detection, and in particular to a method and device for automatically identifying GSM-R interference based on frequency scanning. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention recited in the claims. No admission is made that the description herein is prior art by inclusion in this section.

[0003] As high-speed railways are put into operation, the number of crossings, crossings and paralleling lines is increasing. In hubs and crossing and paralleling areas, the frequency reuse distance is further compressed, and the co-frequency and adjacent frequency interference in the GSM-R network is becoming increasingly serious. At the same time, public network operators deploy GSM systems in GSM-R adjacent frequency bands along the railway. If there is improper frequency configuration or excessive transmission power, it may cause blocking interference, intermodulation interference and other effects on the GSM-R network, and even directly occupy the GSM-R frequency point. In terms of interference identification technology research, vehicle-mounted spectrum analyzers are mainly used to monitor GSM-R networks. The detection parameter acquisition equipment based on spectrum analyzers and sweeping frequency analyzers has the problems of low automation, low interference identification efficiency, and incomplete interference identification. Summary of the invention

[0004] The embodiment of the present invention provides a GSM-R interference automatic identification method based on frequency scanning, which is used to improve the interference identification efficiency, realize the automatic identification of interference inside and outside the GSM-R network, and improve the comprehensiveness of interference identification. The method includes:

[0005] Acquire the radio signal along the railway received by the GSM-R dedicated antenna within the cell location interval where the current vehicle is traveling;

[0006] The radio signals along the railway are decoded by a frequency sweeper to obtain decoded data; the spectrum of the radio signals along the railway is analyzed by a spectrum analyzer to obtain spectrum measurement data;

[0007] Based on the decoding data, spectrum measurement data and known cell ledger information, the internal and external interference of the GSM-R network are identified to determine the interference type and interference information;

[0008] The interference type and interference information are displayed in real time through the vehicle display.

[0009] The embodiment of the present invention further provides a GSM-R interference automatic identification device based on frequency scanning, which is used to improve the interference identification efficiency, realize the automatic identification of interference inside and outside the GSM-R network, and improve the comprehensiveness of interference identification. The device includes:

[0010] The railway radio signal acquisition module is used to acquire the radio signal along the railway received by the GSM-R dedicated antenna within the cell location interval where the current vehicle is traveling;

[0011] The decoding data and spectrum measurement data acquisition module is used to decode the radio signals along the railway through a frequency sweeper to obtain decoding data; and to perform spectrum analysis on the radio signals along the railway through a spectrum analyzer to obtain spectrum measurement data;

[0012] The interference identification module is used to identify the internal and external interference of the GSM-R network based on the decoding data, spectrum measurement data and known cell ledger information, and determine the interference type and interference information;

[0013] The interference information display module is used to display the interference type and interference information in real time through the vehicle display.

[0014] An embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned GSM-R interference automatic identification method based on frequency scanning when executing the computer program.

[0015] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned GSM-R interference automatic identification method based on frequency scanning is implemented.

[0016] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the above-mentioned GSM-R interference automatic identification method based on frequency scanning is implemented.

[0017] In an embodiment of the present invention, the radio signal along the railway received by the GSM-R dedicated antenna is obtained within the cell position interval where the current vehicle driving position is located; the radio signal along the railway is decoded by a frequency sweeper to obtain decoding data; the radio signal along the railway is analyzed by a spectrum analyzer to obtain spectrum measurement data; based on the decoding data, spectrum measurement data and known cell account information, interference identification is performed inside and outside the GSM-R network respectively, and the interference type and interference information are determined; the interference type and interference information are displayed through the vehicle display. In the above process, the embodiment of the present invention uses a GSM-R dedicated antenna to realize the collection of radio signals, uses a frequency sweeper and a spectrum analyzer to obtain decoding data and spectrum measurement data, and based on the decoding data, known cell account information and spectrum measurement data, interference identification is performed inside and outside the GSM-R network, realizing automatic identification of interference inside and outside the GSM-R network, and by combining the respective advantages of decoding data and spectrum measurement data, the interference missed detection rate can be reduced, thereby improving the efficiency of interference identification and the comprehensiveness of interference identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0019] Figure 1 It is a flow chart of a method for automatically identifying GSM-R interference based on frequency scanning in an embodiment of the present invention;

[0020] Figure 2 This is a flow chart for determining the relationship between co- and adjacent frequencies in an embodiment of the present invention;

[0021] Figure 3 This is a flow chart of GSM-R network internal interference identification in an embodiment of the present invention;

[0022] Figure 4 This is a flow chart of GSM-R network external interference identification in an embodiment of the present invention;

[0023] Figure 5 This is an example diagram of a GSM-R network external interference identification process in an embodiment of the present invention;

[0024] Figure 6 Schematic diagram of a GSM-R interference automatic identification device based on frequency scanning in an embodiment of the present invention. DETAILED DESCRIPTION

[0025] To make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0026] Figure 1 The flowchart of the GSM-R interference automatic identification method based on frequency scanning in an embodiment of the present invention comprises:

[0027] Step 101, obtaining a radio signal along the railway received by a GSM-R dedicated antenna within a cell location interval where the current vehicle driving position is located;

[0028] Step 102: decoding the radio signals along the railway by means of a frequency sweeper to obtain decoded data; performing spectrum analysis on the radio signals along the railway by means of a spectrum analyzer to obtain spectrum measurement data;

[0029] Step 103, based on the decoded data, spectrum measurement data and known cell ledger information, identify the internal and external interference of the GSM-R network, and determine the interference type and interference information;

[0030] Step 104: Display the interference type and interference information in real time through the vehicle display.

[0031] Each step is explained below.

[0032] In step 101, a radio signal along the railway received by a GSM-R dedicated antenna is obtained within a cell location interval where the current vehicle driving position is located.

[0033] In a specific embodiment, the radio signals along the railway received by the GSM-R dedicated antenna include electrical signals of multiple communication standards, where the multiple communication standards include 2G, 3G, 4G, and 5G. The introduction of information decoding of multiple communication standards can provide interference signal information at the level of wireless communication cells of different standards, improve the depth of interference identification, and provide more accurate guidance for on-site interference troubleshooting.

[0034] In step 102, the radio signals along the railway are decoded by a frequency sweeper to obtain decoded data; and the spectrum of the radio signals along the railway is analyzed by a spectrum analyzer to obtain spectrum measurement data.

[0035] In a specific embodiment, a 2G / 3G / 4G / 5G full-standard frequency sweeper is used to decode radio signals along the railway, which can ensure the decoding speed of cell information of different communication standards, ensure the interval of data collection in high-speed moving scenes of trains, effectively improve the probability of intercepting interference signals, and achieve high-precision interference detection. Multiple high-performance frequency sweepers can also be used to decode GSM-R / GSM, CDMA, LTE, and 5G cell information, respectively, to improve the overall decoding speed and avoid the decrease in decoding speed caused by the same frequency sweeper decoding multiple cell information standards.

[0036] In step 103, based on the decoded data, spectrum measurement data and known cell ledger information, interference identification is performed inside and outside the GSM-R network to determine the interference type and interference information.

[0037] In one embodiment, the cell ledger information includes: mobile country code, mobile network code, location area code, cell identification code, base station color code, and frequency configuration information.

[0038] In a specific embodiment, the cell ledger information refers to an electronic spreadsheet containing the GSM-R cell information of the railway line, including the cell (base station) name, cell location (mileage, longitude and latitude), cell frequency (BCCH, TCH frequency), cell number, service cell range, management boundary and other information. The cell ledger information can assist in interference identification and the display of interference information.

[0039] Figure 2 It is a flow chart for determining the co-adjacent frequency relationship in an embodiment of the present invention. In one embodiment, based on the decoded data, the spectrum measurement data and the known cell account information, the internal interference of the GSM-R network is identified, including: wherein the GSM-R network includes a serving cell and a non-serving cell;

[0040] Step 201, comparing the decoded data of the serving cell and the decoded data of the non-serving cell, the non-serving cell account information, the serving cell account information, the reception level in the decoded data of the serving cell, and the corresponding spectrum measurement data of the serving cell in the spectrum measurement data; by combining the respective advantages of the decoded data and the spectrum measurement data, the missed detection rate of interference can be reduced, and the interference detection capability can be significantly improved;

[0041] Step 202: determine whether there is a co-adjacent frequency relationship between the serving cell and the non-serving cell based on the comparison result;

[0042] Step 203: Based on determining that there is a co-adjacent frequency relationship between the serving cell and the non-serving cell, internal interference of the GSM-R network is identified.

[0043] In one embodiment, determining whether there is a co-adjacent frequency relationship between the serving cell and the non-serving cell according to the comparison result includes:

[0044] According to the decoded data, a first co-adjacent frequency determination is performed on the serving cell and the non-serving cell to obtain a first determination result; the decoded data includes the decoded data of the serving cell and the decoded data of the non-serving cell;

[0045] Based on the first judgment result, according to the known cell ledger information, a second co-adjacent frequency judgment is performed on the serving cell and the non-serving cell to obtain a second judgment result; the cell ledger information includes the non-serving cell ledger information and the serving cell ledger information;

[0046] Based on the second judgment result, determine whether the difference between the reception level in the serving cell decoded data and the serving cell spectrum measurement data corresponding to the spectrum measurement data exceeds a preset threshold value, and obtain a third judgment result;

[0047] According to the three judgment results, it is determined that there is a co-adjacent frequency relationship between the serving cell and the non-serving cell.

[0048] In a specific embodiment, the decoded data includes: (1) GSM-R / GSM information: MCC, MNC, LAC, CI, BSIC, ARFCN, C / I, RxLev, CA list; (2) CDMA information: MCC, MNC, SID, NID, BtsID, channel number, frequency, signal strength; (3) LTE information: MCC, MNC, TAC, ECI, EARFCN, PCI, RSRP, RSSI, bandwidth; (4) 5G decoding information includes MCC, MNC, PCI, NCI, NR-ARFCN, RSRP, bandwidth.

[0049] In a specific embodiment, the service cell and the non-service cell are divided for the GSM-R cell. The external network cell specifically refers to the GSM, CDMA, LTE, and 5G cells. First, based on the ARFCN frequency corresponding to the GSM-R non-service cell BCCH frequency in the decoded data and the ARFCN corresponding to the service cell BCCH frequency, the number of GSM-R non-service cells with the same frequency as the service cell BCCH frequency is determined; then, in combination with the ledger information, it is confirmed from the decoded data whether there is a situation where the service cell BCCH frequency and the non-service cell TCH frequency, the service cell TCH frequency and the non-service cell BCCH frequency, and the service cell TCH frequency and the non-service cell TCH frequency are of the same frequency; finally, the service cell receiving level RxLev is compared with the corresponding frequency spectrum measurement value, and the difference between the service cell receiving level RxLev and the corresponding frequency spectrum measurement value is determined according to the comparison result. If the difference is greater than the preset threshold value, it is considered that there is a signal with the same frequency as the service cell BCCH frequency.

[0050] Figure 3The flowchart of the GSM-R network internal interference identification in an embodiment of the present invention is as follows. In one embodiment, based on determining that there is a co-adjacent frequency relationship between a serving cell and a non-serving cell, the GSM-R network internal interference is identified, including:

[0051] Step 301, using the carrier-to-interference ratio and the receiving level as measurement parameters, determining whether the non-serving cell generates co-channel interference and risk to the serving cell within the GSM-R network;

[0052] Step 302: When it is determined that there is a co-adjacent frequency relationship between the non-serving cell and the serving cell, the type of co-adjacent frequency interference is identified.

[0053] In a specific embodiment, with the carrier-to-interference ratio and the receiving level as measurement parameters, the logic of co-channel interference and risk determination is: if the co-channel relationship determines that there are multiple co-channel signals (including the situation where there are multiple co-channel cells), check whether the carrier-to-interference ratio (C / I) of the serving cell is lower than 12dB. If C / I is lower than 12dB, it is determined that there is co-channel interference. Otherwise, further determine the difference in the receiving levels of the two co-channel cell signals. If the difference is less than 12dB, it is determined that there is a co-channel risk. If it is greater than or equal to 12dB, there is no risk. The logic of adjacent-channel interference and risk determination is: if the adjacent-channel relationship determines that there is an adjacent-channel signal, check whether the carrier-to-interference ratio (C / I) of the serving cell is lower than 12dB. If C / I is lower than 12dB, it is determined that there is adjacent-channel interference. Otherwise, further traverse and determine the difference in the receiving levels of the serving cell frequency (including TCH frequency) and other cell frequencies (BCCH, TCH frequency). If the difference is less than -6dB, it is determined that there is an adjacent-channel risk. If it is greater than or equal to -6dB, there is no risk.

[0054] Figure 4 The flowchart of the GSM-R network external interference identification in an embodiment of the present invention is as follows. In one embodiment, based on the decoded data, the spectrum measurement data and the known cell account information, the interference identification is performed on the GSM-R network external, including:

[0055] Step 401, obtaining a reception level of a cell outside the GSM-R network from decoded data, and obtaining spectrum measurement data of a cell outside the GSM-R network from spectrum measurement data;

[0056] Step 402, compare the difference between the cell reception level outside the GSM-R network and the cell spectrum measurement data outside the GSM-R network with a preset threshold, and if the difference is greater than the preset threshold, determine that there is interference outside the GSM-R network.

[0057] In a specific embodiment, if the difference between the external network cell reception level and the corresponding external network cell spectrum measurement data is greater than a preset threshold, the external network cell spectrum measurement value is used as a basis for determining the blocking signal. Figure 5This is an example diagram of the GSM-R network external interference identification process in an embodiment of the present invention. The external interference identification logic: external network interference identification is carried out based on the fusion analysis of decoding data and spectrum data. When the difference between the decoding data reception level (GSM RxLev, CDMA signal strength, LTE RSRP, 5G RSRP) of the external network cell (GSM, CDMA, LTE, 5G) and the corresponding frequency spectrum measurement data is greater than the threshold, the spectrum measurement data is used as the "received power" when judging blocking interference. External network interference identification includes frequency occupancy interference identification and blocking interference identification.

[0058] Among them, frequency occupancy interference identification: (1) GSM frequency occupancy interference identification: based on GSM decoding data, when MNC=20 and 999≤ARFCN≤1019, it is determined that there is frequency occupancy; based on GSM decoding data, when 999≤ARFCN≤1019 in the CA list, it is determined that there is frequency occupancy; (2) CDMA frequency occupancy interference identification: when the CDMA frequency is between 930MHz and 934MHz, it is determined that there is CDMA frequency occupancy; (3) LTE frequency occupancy interference identification: when the frequency range of the center frequency ± half of the bandwidth overlaps with 930MHz to 934MHz, it is determined that there is LTE frequency occupancy; (4) 5G frequency occupancy identification: when the frequency range of the center frequency ± half of the bandwidth overlaps with 930MHz to 934MHz, it is determined that there is co-frequency occupancy.

[0059] Blocking interference identification:

[0060] (1) If the frequency spacing between the external network signal frequency and the GSM-R service cell frequency is between 0.6 and 0.8 MHz, and the external network receiving power is greater than -38 dBm, it is determined that blocking interference exists;

[0061] (2) If the frequency spacing between the external network signal frequency and the GSM-R service cell frequency is between 0.8 and 1.6 MHz, and the external network receiving power is greater than -33 dBm, it is determined that blocking interference exists;

[0062] (3) If the frequency spacing between the external network signal frequency and the GSM-R service cell frequency is between 1.6 and 3.0 MHz, and the external network receiving power is greater than -23 dBm, it is determined that blocking interference exists;

[0063] (4) If the frequency spacing between the external network signal frequency and the GSM-R service cell frequency is greater than 3.0 MHz, and the external network receiving power is greater than -23 dBm, it is determined that blocking interference exists;

[0064] In step 104 , the interference type and interference information are displayed via a vehicle display.

[0065] In a specific embodiment, the internal and external interference of the GSM-R network includes frequency occupation, co-channel interference, adjacent channel interference, and blocking interference. The interference information includes the kilometer mark of the interference, the line to which it belongs, the interference type, the operator, the cell ID, and other information. Real-time display means drawing the train running track in real time and marking the interference information based on the latitude and longitude data received by the train.

[0066] In one embodiment, after displaying the interference type and interference information through the vehicle display, the method further includes:

[0067] When it is determined that interference exists in the GSM-R network, interference location is performed based on the interference type and interference information.

[0068] The embodiment of the present invention also provides a GSM-R interference automatic identification device based on frequency scanning, as described in the following embodiment. Since the principle of solving the problem by the device is similar to that of the GSM-R interference automatic identification method based on frequency scanning, the implementation of the device can refer to the implementation of the GSM-R interference automatic identification method based on frequency scanning, and the repeated parts will not be repeated.

[0069] Figure 6 Schematic diagram of a GSM-R interference automatic identification device based on frequency scanning in an embodiment of the present invention, the device includes:

[0070] Railway radio signal acquisition module 601, used to acquire the radio signal along the railway received by the GSM-R dedicated antenna within the cell location interval where the current vehicle is traveling;

[0071] The decoding data and spectrum measurement data acquisition module 602 is used to decode the radio signals along the railway by means of a frequency sweeper to obtain decoding data; and to perform spectrum analysis on the radio signals along the railway by means of a spectrum analyzer to obtain spectrum measurement data;

[0072] Interference identification module 603, used to identify interference inside and outside the GSM-R network based on the decoded data, spectrum measurement data and known cell ledger information, and determine the interference type and interference information;

[0073] The interference information display module 604 is used to display the interference type and interference information through the vehicle display.

[0074] In one embodiment, the cell ledger information includes: mobile country code, mobile network code, location area code, cell identification code, base station color code, and frequency configuration information.

[0075] In one embodiment, the interference identification module 603 is specifically used to: wherein the GSM-R network includes serving cells and non-serving cells;

[0076] Compare the decoded data of the serving cell and the decoded data of the non-serving cell, the non-serving cell ledger information and the serving cell ledger information, the reception level in the decoded data of the serving cell and the corresponding spectrum measurement data of the serving cell in the spectrum measurement data;

[0077] According to the comparison result, determine whether there is a co-adjacent frequency relationship between the serving cell and the non-serving cell;

[0078] On the basis of determining that there is a co-adjacent frequency relationship between the serving cell and the non-serving cell, the internal interference of the GSM-R network is identified.

[0079] In one embodiment, the interference identification module 603 is further configured to:

[0080] According to the decoded data, a first co-adjacent frequency determination is performed on the serving cell and the non-serving cell to obtain a first determination result; the decoded data includes the decoded data of the serving cell and the decoded data of the non-serving cell;

[0081] Based on the first judgment result, according to the known cell ledger information, a second co-adjacent frequency judgment is performed on the serving cell and the non-serving cell to obtain a second judgment result; the cell ledger information includes the non-serving cell ledger information and the serving cell ledger information;

[0082] Based on the second judgment result, it is judged whether the difference between the reception level in the serving cell account information and the corresponding serving cell spectrum measurement data in the spectrum measurement data exceeds a preset threshold value, and a third judgment result is obtained;

[0083] According to the third judgment result, it is determined that there is a co-adjacent frequency relationship between the serving cell and the non-serving cell.

[0084] In one embodiment, the interference identification module 603 is specifically configured to:

[0085] Using the carrier-to-interference ratio and receiving level as measurement parameters, determine whether the non-serving cell will cause co-channel interference and risks to the serving cell within the GSM-R network;

[0086] When it is determined that the non-serving cell generates co-channel interference to the serving cell, the type of the co-channel interference is identified.

[0087] In one embodiment, the interference identification module 603 is specifically configured to:

[0088] Obtaining a receiving level of a cell outside the GSM-R network from the decoded data, and obtaining spectrum measurement data of a cell outside the GSM-R network from the spectrum measurement data;

[0089] The difference between the cell reception level outside the GSM-R network and the cell spectrum measurement data outside the GSM-R network is compared with a preset threshold. If the difference is greater than the preset threshold, it is determined that interference exists outside the GSM-R network.

[0090] In one embodiment, an interference positioning module is further included, which is specifically used to:

[0091] When it is determined that interference exists in the GSM-R network, interference location is performed based on the interference type and interference information.

[0092] An embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned GSM-R interference automatic identification method based on frequency scanning when executing the computer program.

[0093] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned GSM-R interference automatic identification method based on frequency scanning is implemented.

[0094] An embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the above-mentioned GSM-R interference automatic identification method based on frequency scanning is implemented.

[0095] In an embodiment of the present invention, the radio signal along the railway received by the GSM-R dedicated antenna is obtained within the cell position interval where the current vehicle driving position is located; the radio signal along the railway is decoded by a frequency sweeper to obtain decoding data; the radio signal along the railway is analyzed by a spectrum analyzer to obtain spectrum measurement data; based on the decoding data, spectrum measurement data and known cell account information, interference identification is performed inside and outside the GSM-R network respectively, and the interference type and interference information are determined; the interference type and interference information are displayed through the vehicle display. In the above process, the embodiment of the present invention uses a GSM-R dedicated antenna to realize the collection of radio signals, uses a frequency sweeper and a spectrum analyzer to obtain decoding data and spectrum measurement data, and based on the decoding data, known cell account information and spectrum measurement data, interference identification is performed inside and outside the GSM-R network, realizing automatic identification of interference inside and outside the GSM-R network, and by combining the respective advantages of decoding data and spectrum measurement data, the interference missed detection rate can be reduced, thereby improving the efficiency of interference identification and the comprehensiveness of interference identification.

[0096] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0097] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0098] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0100] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for automatically identifying GSM-R interference based on frequency scanning, characterized in that: include: Acquire the radio signal along the railway received by the GSM-R dedicated antenna within the cell location interval where the current vehicle is traveling; The radio signals along the railway are decoded by a frequency sweeper to obtain decoded data; the spectrum of the radio signals along the railway is analyzed by a spectrum analyzer to obtain spectrum measurement data; Based on the decoding data, spectrum measurement data and known cell ledger information, the internal and external interference of the GSM-R network are identified to determine the interference type and interference information; The interference type and interference information are displayed in real time through the vehicle display.

2. The method according to claim 1, characterized in that The cell ledger information includes: mobile country code, mobile network code, location area code, cell identification code, base station color code, and frequency configuration information.

3. The method according to claim 1, characterized in that Based on the decoded data, spectrum measurement data and known cell ledger information, the internal interference of the GSM-R network is identified, including: wherein the GSM-R network includes serving cells and non-serving cells; Compare the decoded data of the serving cell and the decoded data of the non-serving cell, the non-serving cell ledger information and the serving cell ledger information, the reception level in the decoded data of the serving cell and the corresponding spectrum measurement data of the serving cell in the spectrum measurement data; According to the comparison result, determine whether there is a co-adjacent frequency relationship between the serving cell and the non-serving cell; On the basis of determining that there is a co-adjacent frequency relationship between the serving cell and the non-serving cell, the internal interference of the GSM-R network is identified.

4. The method according to claim 3, characterized in that Based on the comparison results, determine whether there is a co-adjacent frequency relationship between the serving cell and the non-serving cell, including: According to the decoded data, a first co-adjacent frequency determination is performed on the serving cell and the non-serving cell to obtain a first determination result; the decoded data includes the decoded data of the serving cell and the decoded data of the non-serving cell; Based on the first judgment result, according to the known cell ledger information, a second co-adjacent frequency judgment is performed on the serving cell and the non-serving cell to obtain a second judgment result; the cell ledger information includes the non-serving cell ledger information and the serving cell ledger information; Based on the second judgment result, it is judged whether the difference between the reception level in the serving cell account information and the corresponding serving cell spectrum measurement data in the spectrum measurement data exceeds a preset threshold value, and a third judgment result is obtained; According to the three judgment results, it is determined that there is a co-adjacent frequency relationship between the serving cell and the non-serving cell.

5. The method according to claim 3, characterized in that Based on the determination of the co-frequency relationship between the serving cell and the non-serving cell, the internal interference of the GSM-R network is identified, including: Using the carrier-to-interference ratio and receiving level as measurement parameters, determine whether the non-serving cell will cause co-channel interference and risks to the serving cell within the GSM-R network; When it is determined that the non-serving cell generates co-channel interference to the serving cell, the type of the co-channel interference is identified.

6. The method according to claim 1, characterized in that Based on the decoded data, spectrum measurement data and known cell ledger information, interference identification is performed outside the GSM-R network, including: Obtaining a receiving level of a cell outside the GSM-R network from the decoded data, and obtaining spectrum measurement data of a cell outside the GSM-R network from the spectrum measurement data; The difference between the cell reception level outside the GSM-R network and the cell spectrum measurement data outside the GSM-R network is compared with a preset threshold. If the difference is greater than the preset threshold, it is determined that interference exists outside the GSM-R network.

7. The method according to claim 1, characterized in that After the interference type and interference information are displayed on the vehicle display, it also includes: When it is determined that interference exists in the GSM-R network, interference location is performed based on the interference type and interference information.

8. A GSM-R interference automatic identification device based on frequency scanning, characterized in that: include: The railway radio signal acquisition module is used to acquire the radio signal along the railway received by the GSM-R dedicated antenna within the cell location interval where the current vehicle is traveling; The decoding data and spectrum measurement data acquisition module is used to decode the radio signals along the railway through a frequency sweeper to obtain decoding data; and to perform spectrum analysis on the radio signals along the railway through a spectrum analyzer to obtain spectrum measurement data; The interference identification module is used to identify the internal and external interference of the GSM-R network based on the decoding data, spectrum measurement data and known cell ledger information, and determine the interference type and interference information; The interference information display module is used to display the interference type and interference information in real time through the vehicle display.

9. The device according to claim 8, characterized in that The cell ledger information includes: mobile country code, mobile network code, location area code, cell identification code, base station color code, and frequency configuration information.

10. The device according to claim 8, characterized in that The interference identification module is specifically used for: wherein the GSM-R network includes serving cells and non-serving cells; Compare the decoded data of the serving cell and the decoded data of the non-serving cell, the non-serving cell ledger information and the serving cell ledger information, the reception level in the decoded data of the serving cell and the corresponding spectrum measurement data of the serving cell in the spectrum measurement data; According to the comparison result, determine whether there is a co-adjacent frequency relationship between the serving cell and the non-serving cell; On the basis of determining that there is a co-adjacent frequency relationship between the serving cell and the non-serving cell, the internal interference of the GSM-R network is identified.

11. The device according to claim 10, characterized in that The interference identification module is also used to: According to the decoded data, a first co-adjacent frequency determination is performed on the serving cell and the non-serving cell to obtain a first determination result; the decoded data includes the decoded data of the serving cell and the decoded data of the non-serving cell; Based on the first judgment result, according to the known cell ledger information, a second co-adjacent frequency judgment is performed on the serving cell and the non-serving cell to obtain a second judgment result; the cell ledger information includes the non-serving cell ledger information and the serving cell ledger information; Based on the second judgment result, it is judged whether the difference between the reception level in the serving cell account information and the corresponding serving cell spectrum measurement data in the spectrum measurement data exceeds a preset threshold value, and a third judgment result is obtained; According to the third judgment result, it is determined that there is a co-adjacent frequency relationship between the serving cell and the non-serving cell.

12. The device according to claim 10, characterized in that Interference identification module, specifically used for: Using the carrier-to-interference ratio and receiving level as measurement parameters, determine whether the non-serving cell will cause co-channel interference and risks to the serving cell within the GSM-R network; When it is determined that the non-serving cell generates co-channel interference to the serving cell, the type of the co-channel interference is identified.

13. The device according to claim 8, characterized in that Interference identification module, specifically used for: Obtaining a receiving level of a cell outside the GSM-R network from the decoded data, and obtaining spectrum measurement data of a cell outside the GSM-R network from the spectrum measurement data; The difference between the cell reception level outside the GSM-R network and the cell spectrum measurement data outside the GSM-R network is compared with a preset threshold. If the difference is greater than the preset threshold, it is determined that interference exists outside the GSM-R network.

14. The device according to claim 8, characterized in that It also includes an interference location module, which is specifically used to: When it is determined that interference exists in the GSM-R network, interference location is performed based on the interference type and interference information.

15. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

16. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

17. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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