Interference source space-frequency Doppler detection method and device based on subway environment

Abstract

The present invention provides a space-frequency Doppler detection method and device for interference sources based on a subway environment, and the space-frequency Doppler detection method for interference sources based on a subway environment comprises the following steps: obtaining electromagnetic field radio signals of the subway environment; obtaining channel big data based on the electromagnetic field radio signals and recorded radio scattering channel parameters; separating interference signals from received signals of LTE terminals; confirming the direction and position of the interference source based on the channel big data and the separated interference signal, and determining the power of the interference source based on the direction and position of the interference source. The present invention can effectively solve the technical problem that the direction and position of radio interference cannot be effectively determined in the prior art.

Description

Technical Field

[0001] The invention relates to the field of electronics and communication technology, and in particular to a method and device for detecting interference source space-frequency Doppler based on a subway environment. Background Art

[0002] At present, the newly built subway lines use 1785-1805MHz TD-LTE wireless communication devices to transmit the data of the communication-based train control device (CBTC) between the train and the ground. Since the adjacent frequencies on both sides of this frequency band are allocated to other communication devices, in order to ensure the reliable transmission of CBTC data, it is very important to test the interference of LTE wireless communication devices in specific frequency bands.

[0003] The existing on-site testing method is to install a dedicated detection device on the train LTE terminal, and test the adjacent channel interference power of the LTE device when there is adjacent channel radio interference near the receiver. Move the vehicle body to find the location with the maximum interference, and test the LTE adjacent channel interference power ratio. The main disadvantage is that only the interference receiving power is known, and the specific direction and location of the radio interference cannot be determined, so the transmission power of the transmitter cannot be known. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a method and device for detecting interference sources based on a subway environment, so as to solve the technical problem that the direction and position of radio interference cannot be effectively determined in the prior art.

[0005] To achieve the above-mentioned purpose and other related purposes, an embodiment of the present invention provides a space-frequency Doppler detection method for interference sources based on a subway environment, comprising the following steps: acquiring an electromagnetic field radio signal of the subway environment; acquiring channel big data based on the electromagnetic field radio signal and recorded radio scattering channel parameters; separating the interference signal from the received signal of the LTE terminal; confirming the direction and position of the interference source based on the channel big data and the separated interference signal, and determining the power of the interference source based on the direction and position of the interference source.

[0006] In one embodiment of the present application, the acquiring of the electromagnetic field radio signal of the subway environment includes: sending a narrowband signal of a preset frequency to the electromagnetic field of the subway environment; and scanning the frequency to receive the electromagnetic field radio signal of the subway environment.

[0007] In one embodiment of the present application, the acquisition of channel big data based on the electromagnetic field radio signal and the recorded radio scattering channel parameters includes: recording the transmitted radio signal and the received radio signal; recording the radio scattering channel parameters of a specific location; obtaining the radio transceiver channel record based on the transmitted radio signal and the received radio signal and the radio scattering channel parameters and continuously strengthening the radio transceiver channel to form channel big data.

[0008] In one embodiment of the present application, the confirmation of the direction and position of the interference source based on the channel big data and the separated interference signal includes: comparing the gradual value of the interference signal power at adjacent time points, the Doppler spread and the channel big data to obtain the corresponding interference source's wave direction and interference source's wave distance.

[0009] To achieve the above-mentioned purpose and other related purposes, an embodiment of the present invention also provides an interference source space-frequency Doppler detection device based on a subway environment, including: a radio frequency module, which obtains an electromagnetic field radio signal in the subway environment; a learning module, which obtains channel big data based on the electromagnetic field radio signal and recorded radio scattering channel parameters; a detection module, which separates the interference signal from the received signal of the LTE terminal; a judgment and analysis module, which confirms the direction and position of the interference source based on the channel big data and the separated interference signal, and determines the power of the interference source based on the direction and position of the interference source.

[0010] In one embodiment of the present application, the interference source space-frequency Doppler detection device based on the subway environment also includes: a spatial radio channel module, which obtains channel data characteristics based on direct radiation, reflection, and scattering conditions based on the channel big data and electromagnetic field theory.

[0011] In one embodiment of the present application, the radio frequency module includes: a radio frequency transceiver, which sends a narrowband signal of a preset frequency to the electromagnetic field of the subway environment, and scans the electromagnetic field radio signal of the subway environment; a spectrum identifier, which receives the frequency setting instruction in the learning module while receiving the signal from the radio frequency transceiver; and a time-frequency recorder, which transmits the time and frequency of the received radio signal to the learning module.

[0012] In one embodiment of the present application, the learning module includes: a learning network generator, which records the transmitted radio signals and the received radio signals, and records the radio scattering channel parameters of a specific location; a feedback judgment regulator, which obtains the radio transceiver channel records based on the transmitted radio signals and the received radio signals and the radio scattering channel parameters and continuously strengthens the radio transceiver channel to form channel big data; an input / output connector, which is connected to the radio frequency module and the judgment and analysis module, and outputs the channel big data to the judgment and analysis module.

[0013] In one embodiment of the present application, the detection module includes: an adjacent frequency receiver for separating an interference signal from a received signal of an LTE terminal; a spectrum analyzer for obtaining a gradual value of interference signal power from the interference signal; and a Doppler calculator for estimating Doppler spread.

[0014] In one embodiment of the present application, the judgment and analysis module compares the gradual change value of the interference signal power at adjacent time points, the Doppler spread and the channel big data to obtain the corresponding interference source's wave direction and interference source's wave distance.

[0015] As described above, the method, device and server for one-click deployment of application programs of the present invention have the following beneficial effects:

[0016] 1. The present invention can detect the adjacent channel interference power ratio of LTE under interference through the train antenna, and use the electromagnetic field recognition technology provided by the subway environment in which the train repeatedly runs to determine the direction and position of the interference source, and further calculate the transmission power of the interference source, which can effectively solve the technical problem that the direction and position of radio interference cannot be effectively determined in the prior art.

[0017] 2. The space-frequency Doppler detection method and test method of interference sources in the subway environment of the present invention based on multiple learning can obtain space-frequency multi-dimensional information of interference sources without using a dedicated radio direction-finding device, and is an advanced means of intelligent subway communication management. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram showing the overall process of the interference source space-frequency Doppler detection method based on the subway environment according to an embodiment of the present invention;

[0019] Figure 2 It is a schematic diagram showing the implementation process of the interference source space-frequency Doppler detection method based on the subway environment according to an embodiment of the present invention;

[0020] Figure 3 It is a principle structure block diagram of a space-frequency Doppler detection device for interference sources based on a subway environment according to an embodiment of the present invention;

[0021] Figure 4 It shows a block diagram of the specific structural principle of the interference source space-frequency Doppler detection device based on the subway environment according to an embodiment of the present invention.

[0022] Figure 5 It is a preferred principle structure block diagram of the interference source space-frequency Doppler detection device based on the subway environment according to an embodiment of the present invention;

[0023] Component number description

[0024] 100 Interference source space-frequency Doppler detection device based on subway environment

[0025] 110 RF module

[0026] 120 learning modules

[0027] 130 Detection module

[0028] 140 Judgment Analysis Module

[0029] 150 Space Radio Channel Module

[0030] S100~S400 steps DETAILED DESCRIPTION

[0031] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0032] It should be noted that the illustrations provided in the following embodiments are only used to illustrate the basic concept of the present invention in a schematic manner. Therefore, the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0033] The interference source space-frequency Doppler detection method and device based on the subway environment of this embodiment are used to solve the technical problem that the direction and position of radio interference cannot be effectively determined in the prior art.

[0034] The principles and implementation methods of the interference source space-frequency Doppler detection method and device based on the subway environment of this embodiment will be explained in detail below, so that those skilled in the art can understand the interference source space-frequency Doppler detection method and device based on the subway environment of this embodiment without creative work.

[0035] Example 1

[0036] This embodiment provides a method for detecting interference sources based on a subway environment. Figure 1 , which is a schematic diagram of the overall process of the interference source space-frequency Doppler detection method based on the subway environment of the present invention. Figure 1 As shown, the interference source space-frequency Doppler detection method based on the subway environment in this embodiment includes the following steps:

[0037] Step S100, acquiring electromagnetic field radio signals in the subway environment;

[0038] Step S200, acquiring channel big data based on the electromagnetic field radio signal and the recorded radio scattering channel parameters;

[0039] Step S300, separating an interference signal from a received signal of an LTE terminal;

[0040] Step S400: confirming the direction and position of the interference source based on the channel big data and the separated interference signal, and determining the power of the interference source based on the direction and position of the interference source.

[0041] The following combination Figure 2 Steps S100 to S400 of the interference source space-frequency Doppler detection method based on a subway environment in this embodiment are described in detail.

[0042] Step S100, acquiring electromagnetic field radio signals in the subway environment.

[0043] In this embodiment, the acquiring of the electromagnetic field radio signal of the subway environment includes: sending a narrowband signal of a preset frequency to the electromagnetic field of the subway environment; and receiving the electromagnetic field radio signal of the subway environment by frequency scanning.

[0044] Specifically, in this embodiment, it is configured to send a narrowband signal of a specific frequency and simultaneously sweep the frequency to receive a broadband radio signal.

[0045] Step S200, acquiring channel big data based on the electromagnetic field radio signal and the recorded radio scattering channel parameters.

[0046] In this embodiment, the acquisition of channel big data based on the electromagnetic field radio signal and the recorded radio scattering channel parameters includes: recording the transmitted radio signal and the received radio signal; recording the radio scattering channel parameters of a specific location; obtaining the radio transceiver channel record based on the transmitted radio signal and the received radio signal and the radio scattering channel parameters and continuously strengthening the radio transceiver channel to form channel big data.

[0047] Specifically, in this embodiment, the radio scattering channel parameters of a specific location are recorded by recording the transmitted radio signals and the received radio signals. The train passes through the environment along the line many times, and a large number of radio transceiver channel records are obtained. Through machine learning, the radio channel information of each location along the line is continuously strengthened to form radio environment big data, that is, channel big data.

[0048] Among them, in this embodiment, after obtaining the channel big data, it also includes further obtaining channel data characteristics based on direct radiation, reflection, and scattering conditions according to electromagnetic field theory through the channel big data (radio environment big data).

[0049] Specifically, the frequency information is exchanged with other modules through the frequency signal output and input connector, and the address information is exchanged with other modules through the space address signal input device. The radio environment big data is stored in the learning result database, and the detection result comparer is further connected with other modules according to the electromagnetic field theory to obtain the channel data characteristics based on direct, reflected and scattered conditions.

[0050] Step S300: separating interference signals from received signals of the LTE terminal.

[0051] Specifically, in this embodiment, the interference signal is separated from the received signal of the LTE terminal, the frequency point and received power of the corresponding interference source are obtained, and the Doppler spread is calculated.

[0052] Step S400: confirming the direction and position of the interference source based on the channel big data and the separated interference signal, and determining the power of the interference source based on the direction and position of the interference source.

[0053] In this embodiment, the confirmation of the direction and position of the interference source based on the channel big data and the separated interference signal includes: comparing the gradual change value of the interference signal power at adjacent time points, the Doppler spread and the channel big data to obtain the corresponding interference source's wave direction and interference source's wave distance.

[0054] Specifically, in this embodiment, the direction and distance of the corresponding interference source are obtained by comparing the gradual change value of the interference signal power at adjacent time points, Doppler spread and the channel big data in the spatial radio channel module 150. The transmission power of the interference source is further calculated.

[0055] Example 2

[0056] like Figure 3 As shown, this embodiment provides an interference source space-frequency Doppler detection device 100 based on a subway environment, and the interference source space-frequency Doppler detection device 100 based on a subway environment includes: a radio frequency module 110, a learning module 120, a detection module 130 and a judgment and analysis module 140.

[0057] In this embodiment, the radio frequency module 110 acquires electromagnetic field radio signals in the subway environment.

[0058] Specifically, in this embodiment, if Figure 4As shown, the RF module 110 includes: an RF transceiver, which sends a narrowband signal of a preset frequency to the electromagnetic field of the subway environment, and scans the electromagnetic field radio signal of the subway environment; a spectrum identifier, which receives the frequency setting instruction in the learning module 120 while receiving the RF transceiver signal; and a time-frequency recorder, which transmits the time and frequency of the received radio signal to the learning module 120.

[0059] Among them, the RF transceiver in the RF module 110 is set to send a narrowband signal of a special frequency and simultaneously scan the frequency to receive the radio signal. The spectrum identifier receives the frequency setting instruction in the learning module 120 while receiving the RF transceiver signal. The time and frequency recorder passes the time and frequency of the received radio signal to the learning module 120.

[0060] In this embodiment, the learning module 120 acquires channel big data based on the electromagnetic field radio signal and the recorded radio scattering channel parameters.

[0061] Specifically, in this embodiment, the learning module 120 includes: a learning network generator, which records the transmitted radio signals and the received radio signals, and records the radio scattering channel parameters of a specific location; a feedback judgment regulator, which obtains the radio transceiver channel records based on the transmitted radio signals and the received radio signals and the radio scattering channel parameters, and continuously strengthens the radio transceiver channel to form channel big data; an input / output connector, which is connected to the RF module 110 and the judgment and analysis module 140, and outputs the channel big data to the judgment and analysis module 140.

[0062] Among them, the learning network generator in the learning module 120 records the transmitted radio signals and the received radio signals, and records the radio scattering channel parameters of a specific location. The train passes through the environment along the line many times, obtains a large number of radio transceiver channel records, and continuously strengthens the radio channel information of each location along the line through feedback judgment regulator machine learning, forming radio environment data, and connecting with other modules through the input and output connector.

[0063] Specifically, in this embodiment, if Figure 5 As shown, the interference source space-frequency Doppler detection device 100 based on the subway environment also includes: a spatial radio channel module 150, which obtains channel data characteristics based on direct radiation, reflection, and scattering conditions based on the channel big data and electromagnetic field theory.

[0064] The spatial radio channel module 150 exchanges frequency information with other modules through the frequency signal output and input connector. It exchanges address information with other modules through the spatial address signal input device. The radio environment big data is stored in the learning result big database, and the detection result comparer further obtains channel data characteristics based on direct, reflected, and scattering conditions connected to other modules according to electromagnetic field theory.

[0065] In this embodiment, the detection module 130 separates the interference signal from the received signal of the LTE terminal.

[0066] Specifically, in this embodiment, the detection module 130 includes: an adjacent frequency receiver for separating interference signals from received signals of the LTE terminal; a spectrum analyzer for obtaining a gradual change value of interference signal power from the interference signal; and a Doppler calculator for calculating Doppler spread.

[0067] That is, the adjacent frequency receiver of the detection module 130 separates the interference signal from the received signal of the LTE terminal, the spectrum analyzer obtains the frequency point and received power of the corresponding interference source, and the Doppler calculator calculates the Doppler spread.

[0068] In this embodiment, the judgment and analysis module 140 confirms the direction and position of the interference source based on the channel big data and the separated interference signal, and determines the power of the interference source based on the direction and position of the interference source.

[0069] Specifically, in this embodiment, the judgment and analysis module 140 compares the gradual change value of the interference signal power at adjacent time points, the Doppler spread and the channel big data to obtain the corresponding direction and distance of the interference source.

[0070] Among them, the judgment and analysis module 140 determines the gradual change value of the interference signal power at adjacent time points and the Doppler spread by the direction detection identifier, and compares it with the channel big data in the space radio channel module 150 to obtain the direction of the corresponding interference source. The space detection identifier determines the gradual change value of the interference signal power at adjacent time points and the Doppler spread, and compares it with the channel big data in the space radio channel module 150 to obtain the distance of the corresponding interference source; the power detection identifier determines the gradual change value of the interference signal power at adjacent time points and the Doppler spread, and compares it with the channel big data in the space radio channel module 150 to further calculate the transmission power of the interference source. The interference result outputter outputs the interference direction, distance, and transmission power.

[0071] It should be noted that it should be understood that the division of the various modules of the above device is only a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. And these modules can all be implemented in the form of software called by processing elements; they can also be all implemented in the form of hardware; some modules can also be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware. For example, some modules can be separately established processing elements, or they can be integrated in a chip of the above device. In addition, they can also be stored in the memory of the above device in the form of program code, and called and executed by a processing element of the above device. The implementation of other modules is similar. In addition, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element described here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each module above can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

[0072] For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASIC), or one or more digital singnal processors (DSP), or one or more field programmable gate arrays (FPGA). For another example, when a module is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processors that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0073] In summary, the present invention can detect the adjacent channel interference power ratio of LTE under interference through the train antenna, and use the electromagnetic field identification technology provided by the subway environment where the train repeatedly runs to determine the direction and position of the interference source, and further deduce the transmission power of the interference source, effectively solving the technical problem that the direction and position of radio interference cannot be effectively determined in the prior art; the interference source space-frequency Doppler detection method and test method based on multiple learning in the subway environment of the present invention can obtain the space-frequency multi-dimensional information of the interference source without using a dedicated radio direction-finding device, which is an advanced means of intelligent subway communication management. Therefore, the present invention effectively overcomes the various shortcomings in the prior art and has a high industrial utilization value.

[0074] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A space-frequency Doppler detection method for interference sources in a subway environment, characterized in that: The following steps are involved: Acquire electromagnetic field radio signals in subway environment; The obtaining of the electromagnetic field radio signal of the subway environment comprises: sending a narrowband signal of a preset frequency to the electromagnetic field of the subway environment; sweeping the frequency to receive the electromagnetic field radio signal of the subway environment; Acquiring channel big data based on the electromagnetic field radio signal and the recorded radio scattering channel parameters; Separating an interference signal from a received signal of an LTE terminal; Based on the channel big data and the separated interference signal, the direction and position of the interference source are confirmed, and based on the direction and position of the interference source, the power of the interference source is determined; the gradual change value and Doppler expansion of the interference signal power at adjacent time points are compared with the channel big data to obtain the corresponding interference source's wave direction and interference source's wave distance.

2. The interference source space-frequency Doppler detection method based on the subway environment according to claim 1, wherein: The acquiring of channel big data based on the electromagnetic field radio signal and the recorded radio scattering channel parameters comprises: Recording of transmitted and received radio signals; Recording of radio scatter channel parameters at specific locations; Based on the transmitted radio signals, received radio signals and radio scattering channel parameters, the radio transceiver channel records are obtained and the radio transceiver channels are continuously strengthened to form channel big data.

3. A space-frequency Doppler detection device for interference sources based on a subway environment, characterized in that: include: Radio frequency module, to obtain electromagnetic field radio signals in the subway environment; The radio frequency module includes: a radio frequency transceiver, which sends a narrowband signal of a preset frequency to the electromagnetic field of the subway environment, and sweeps the frequency to receive the radio signal of the electromagnetic field of the subway environment; a spectrum identifier, which receives the frequency setting instruction in the learning module while receiving the signal from the radio frequency transceiver; a time-frequency recorder, which transmits the time and frequency of the received radio signal to the learning module; A learning module, for acquiring channel big data based on the electromagnetic field radio signal and the recorded radio scattering channel parameters; A detection module, separating interference signals from received signals of LTE terminals; The judgment and analysis module confirms the direction and position of the interference source based on the channel big data and the separated interference signal, and determines the power of the interference source based on the direction and position of the interference source; the judgment and analysis module compares the gradual change value and Doppler spread of the interference signal power at adjacent time points with the channel big data to obtain the corresponding direction and distance of the interference source.

4. The interference source space-frequency Doppler detection device based on subway environment according to claim 3, wherein: The interference source space-frequency Doppler detection device based on the subway environment also includes: a space radio channel module, which obtains channel data characteristics based on direct radiation, reflection, and scattering conditions based on the channel big data and electromagnetic field theory.

5. The interference source space-frequency Doppler detection device based on subway environment according to claim 3, wherein: The learning modules include: Learning network generators, recording transmitted and received radio signals, and recording radio scattering channel parameters at specific locations; A feedback judgment regulator obtains radio transceiver channel records based on the transmitted radio signals, received radio signals, and radio scattering channel parameters and continuously strengthens the radio transceiver channels to form channel big data; The input / output connector is connected to the radio frequency module and the judgment and analysis module to output the channel big data to the judgment and analysis module.

6. The interference source space-frequency Doppler detection device based on subway environment according to claim 3, wherein: The detection module comprises: Adjacent channel receiver, separating interference signals from the received signals of LTE terminals; A spectrum analyzer, which obtains a gradually changing value of the interference signal power from the interference signal; Doppler calculator, used to estimate Doppler spread.

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