Method, system and device for identifying non-sensing signal interference based on multiple parameters

Abstract

The present invention relates to the technical field of signal interference identification, and provides a method, system and device for non-sensing signal interference identification based on multiple parameters. The method comprises the following steps: obtaining antenna device parameters, inertial navigation device parameters, receiver device parameters and electromagnetic odometer parameters of a sensor suspected of being interfered with; performing out-of-tolerance identification detection based on the antenna device parameters, inertial navigation device parameters, receiver device parameters and electromagnetic odometer parameters to obtain a first detection result; performing receiver status detection on the receiver device to obtain a second detection result; and performing a comprehensive judgment based on the first detection result and the second detection result to determine whether the sensor is interfered with, thereby obtaining a sensor interference judgment result. The present invention adopts a "forward recovery, majority voting" strategy for interference identification, can sensitively perceive signal changes, detect and identify signal interference, and protect navigation parameters from damage.

Description

Technical Field

[0001] The present invention relates to the technical field of signal interference identification, and provides a multi-parameter-based non-sensing signal interference identification method, system and device. Background Art

[0002] At present, the commonly used method is interference suppression. At this time, the interference equipment transmits high-power interference signals to the space within a certain range, drowning out the real receiver signal, making it impossible for the receiver to receive and capture the available receiver signal, making it impossible to locate.

[0003] With the changes in support needs and mission tasks, higher requirements are placed on integrated management equipment. The actual position of the receiver is obtained with the help of external means to ensure that the interference signal is synchronized with the real signal. The signal entry cannot cause large fluctuations in the receiver and is not discovered, thereby improving the efficiency of tracking loop support.

[0004] Currently, multi-parameter, sensorless signal interference identification and safety control methods rely solely on sensor data to detect and identify signal interference, thereby protecting navigation parameters from damage. A search of existing domestic documentation reveals a lack of such a method. Therefore, a signal interference identification method implementation solution is provided. Summary of the Invention

[0005] The present invention aims to solve at least one of the technical problems existing in the related art. To this end, the present invention provides a multi-parameter-based non-sensing signal interference identification method, system, and device, which can sensitively perceive signal changes, detect and identify signal interference, and prevent navigation parameters from being damaged.

[0006] The present invention provides a multi-parameter non-sensing signal interference identification method, comprising:

[0007] S1: Obtain the antenna equipment parameters, inertial navigation equipment parameters, receiver equipment parameters and electromagnetic speed log parameters of the sensor suspected to be interfered with;

[0008] S2: performing an out-of-tolerance identification test based on the antenna guide device parameters, the inertial navigation device parameters, the receiver device parameters, and the electromagnetic odometer parameters to obtain a first test result;

[0009] S3: Performing a receiver status detection on the receiver device to obtain a second detection result;

[0010] S4: Perform a comprehensive judgment based on the first detection result and the second detection result to determine whether the sensor is interfered with, and obtain a sensor interference judgment result.

[0011] According to a multi-parameter non-sensing signal interference identification method provided by the present invention, step S1 includes:

[0012] Obtaining a position parameter from the antenna device parameters of the sensor;

[0013] Obtaining position parameters and velocity parameters from the inertial navigation device parameters of the sensor;

[0014] Acquiring state parameters, position parameters, and speed parameters from receiver device parameters of the sensor;

[0015] The speed parameter in the electromagnetic odometer of the sensor is obtained.

[0016] According to a multi-parameter non-sensing signal interference identification method provided by the present invention, step S2 includes:

[0017] S21: performing an out-of-tolerance identification test based on the position parameters of the receiver device and the position parameters of the inertial navigation device to obtain a comparator F1 result;

[0018] S22: performing an out-of-tolerance identification test based on the position parameters of the receiver device and the position parameters of the antenna device to obtain a comparator F2 result;

[0019] S23: performing an out-of-tolerance identification test based on the speed parameter of the receiver device and the speed parameter of the inertial navigation device to obtain a comparator F3 result;

[0020] S24: performing an out-of-tolerance identification test based on the speed parameter of the receiver device and the speed parameter of the electromagnetic speed meter to obtain a comparator F4 result;

[0021] S25: Perform out-of-tolerance identification and judgment according to the comparator F1 result, the comparator F2 result, the comparator F3 result, and the comparator F4 result to obtain a first detection result.

[0022] According to a multi-parameter non-sensing signal interference identification method provided by the present invention, the out-of-tolerance identification and detection steps in step S2 are:

[0023] S201: Set the initial state of the comparator to A;

[0024] S202: When the comparator is in state A, sampling is performed with the sampling frequency parameter as the sampling frequency, and a sliding window method is used for comparison and judgment. When the proportion of the number of samples exceeding the tolerance is greater than a first tolerance threshold, the comparator state is set to B; when the proportion of the number of samples exceeding the tolerance is less than or equal to the first tolerance threshold, the comparator state is set to A.

[0025] S203: When the comparator is in state B, sampling is performed with the sampling frequency parameter as the sampling frequency, and the sliding window method is used for comparison and judgment. When the proportion of the number of out-of-tolerance samples is less than or equal to the second out-of-tolerance threshold, the state of the comparator is set to state A; when the proportion of the number of out-of-tolerance samples is greater than the second out-of-tolerance threshold, the state of the comparator is set to state B.

[0026] According to a multi-parameter non-sensing signal interference identification method provided by the present invention, the first detection result judgment method of step S25 is shown in Table 1:

[0027] Table 1 First test result judgment table

[0028]

[0029] Among them, L means strong interference is unreliable; M means there is a certain amount of interference and there is a risk of interference; S means low interference is highly reliable.

[0030] According to a multi-parameter non-sensing signal interference identification method provided by the present invention, the steps of the sliding window method include:

[0031] S2001: According to the sampling frequency The sampling frequency is obtained as The first data sequence and the second data sequence

[0032] ,

[0033] in, is the data of the first data sequence, is the data of the second data sequence, is the data ordinal number, ;

[0034] Specifically, the first data sequence is data of a receiver device corresponding to the comparator, and the second data sequence is data of another device corresponding to the comparator;

[0035] S2002: Calculate the comparison difference And judge whether the comparison difference exceeds the difference threshold range :

[0036]

[0037] in, is the minimum value of the difference threshold range, is the maximum value of the difference threshold range;

[0038] S2003: Calculate the proportion of samples with out-of-tolerance ,

[0039]

[0040] in, To compare the difference Out of range threshold The number of data.

[0041] According to a multi-parameter non-sensing signal interference identification method provided by the present invention, step S3 includes:

[0042] S31: Determine the state of the receiver. If the receiver is in a non-autonomous state, the second detection result is L.

[0043] S32: When the receiver data is invalid or the receiver is in the autonomous mode for a duration greater than or equal to 8 hours, the second detection result is M;

[0044] S33: The receiver data is valid, the receiver is in autonomous mode, and the duration of the receiver being in autonomous mode is less than 8 hours. The second detection result is S.

[0045] Among them, L means strong interference is unreliable; M means there is a certain amount of interference and there is a risk of interference; S means low interference is highly reliable.

[0046] According to a multi-parameter non-sensing signal interference identification method provided by the present invention, the comprehensive judgment method is shown in Table 2:

[0047] Table 2 Comprehensive judgment results

[0048]

[0049] Among them, L means strong interference is unreliable; M means there is a certain amount of interference and there is a risk of interference; S means low interference is highly reliable.

[0050] The present invention also provides a multi-parameter non-sensing signal interference identification system, comprising:

[0051] A data acquisition module is used to obtain the antenna equipment parameters, inertial navigation equipment parameters, receiver equipment parameters and electromagnetic speed log parameters of the sensor suspected of being interfered with;

[0052] a detection module configured to perform an out-of-tolerance identification test based on the antenna guide device parameters, the inertial navigation device parameters, the receiver device parameters, and the electromagnetic odometer parameters to obtain a first detection result; and perform a receiver status test on the receiver device to obtain a second detection result;

[0053] The interference judgment module is used to perform a comprehensive judgment based on the first detection result and the second detection result to determine whether the sensor is interfered with, and obtain a sensor interference judgment result.

[0054] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the program, the steps of any of the above-mentioned methods for non-sensing signal interference identification based on multi-parameters are implemented.

[0055] The above one or more technical solutions in the embodiments of the present invention have at least one of the following technical effects:

[0056] The present invention provides a multi-parameter-based non-sensing signal interference identification method, system and device. By adopting the "forward recovery, majority voting" strategy for interference identification, the present invention can sensitively perceive signal changes, detect and identify signal interference, and protect navigation parameters from damage.

[0057] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0059] Figure 1 This is a flow chart of a multi-parameter non-sensing signal interference identification method provided by the present invention.

[0060] Figure 2 This is a structural block diagram of a multi-parameter non-sensing signal interference identification device provided by the present invention.

[0061] Figure 3 It is a structural schematic diagram of the electronic device provided by the present invention.

[0062] Reference numerals:

[0063] 101. Data acquisition module; 102. Detection module; 103. Interference judgment module; 810. Processor; 820. Communication interface; 830. Memory; 840. Communication bus. DETAILED DESCRIPTION

[0064] To make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below. Obviously, the embodiments described are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0065] In the description of this specification, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiment of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0066] The following combination Figures 1 to 3 The present invention is described.

[0067] Example

[0068] like Figure 1 As shown, Figure 1 The present invention provides a flow chart of a method for identifying signal interference based on multi-parameters without inductive sensing, which includes the following steps:

[0069] S1: Obtain the antenna equipment parameters, inertial navigation equipment parameters, receiver equipment parameters and electromagnetic speed log parameters of the sensor suspected to be interfered with;

[0070] S2: performing an out-of-tolerance identification test based on the antenna guide device parameters, the inertial navigation device parameters, the receiver device parameters, and the electromagnetic odometer parameters to obtain a first test result;

[0071] S3: Performing a receiver status detection on the receiver device to obtain a second detection result;

[0072] S4: Perform a comprehensive judgment based on the first detection result and the second detection result to determine whether the sensor is interfered with, and obtain a sensor interference judgment result.

[0073] Specifically, step S1 includes:

[0074] Obtaining a position parameter from the antenna device parameters of the sensor;

[0075] Obtaining position parameters and velocity parameters from the inertial navigation device parameters of the sensor;

[0076] Acquiring state parameters, position parameters, and speed parameters from receiver device parameters of the sensor;

[0077] The speed parameter in the electromagnetic odometer of the sensor is obtained.

[0078] Specifically, step S2 includes:

[0079] S21: performing an out-of-tolerance identification test based on the position parameters of the receiver device and the position parameters of the inertial navigation device to obtain a comparator F1 result;

[0080] S22: performing an out-of-tolerance identification test based on the position parameters of the receiver device and the position parameters of the antenna device to obtain a comparator F2 result;

[0081] S23: performing an out-of-tolerance identification test based on the speed parameter of the receiver device and the speed parameter of the inertial navigation device to obtain a comparator F3 result;

[0082] S24: performing an out-of-tolerance identification test based on the speed parameter of the receiver device and the speed parameter of the electromagnetic speed meter to obtain a comparator F4 result;

[0083] S25: Perform out-of-tolerance identification and judgment according to the comparator F1 result, the comparator F2 result, the comparator F3 result, and the comparator F4 result to obtain a first detection result.

[0084] Among them, the "forward recovery, majority voting" strategy is used for interference identification. Specifically, the steps of out-of-tolerance identification and detection are as follows:

[0085] S201: Set the initial state of the comparator to A;

[0086] S202: When the comparator is in state A, sampling is performed with the sampling frequency parameter as the sampling frequency, and the sliding window method is used for comparison and judgment. When the number of samples exceeding the tolerance is greater than the first tolerance threshold, the comparator state is set to B; when the number of samples exceeding the tolerance is less than or equal to the first tolerance threshold, the comparator state is set to A. In the embodiment of the present invention, the first tolerance threshold is set to 10%.

[0087] Specifically, the steps of the sliding window method include:

[0088] S2001: According to the sampling frequency The sampling frequency is obtained as The first data sequence and the second data sequence

[0089] ,

[0090] in, is the data of the first data sequence, is the data of the second data sequence, is the data ordinal number, ;

[0091] Specifically, the first data sequence is data of a receiver device corresponding to the comparator, and the second data sequence is data of another device corresponding to the comparator;

[0092] S2002: Calculate the comparison difference And judge whether the comparison difference exceeds the difference threshold range :

[0093]

[0094] in, is the minimum value of the difference threshold range, is the maximum value of the difference threshold range;

[0095] S2003: Calculate the proportion of samples with out-of-tolerance ,

[0096]

[0097] in, To compare the difference Out of range threshold The number of data.

[0098] Specifically, the embodiment of the present invention performs position continuity detection, and the continuity detection strategy adopts smooth valid data frames, counts the last frame of valid data before this detection as the original valid data, and judges the first frame, the second frame... and then the 60th frame (the embodiment of the present invention ), if all All exceeded If the difference between the first frame, the second frame, etc. and the original valid data is within the threshold range, the position of the receiver and the inertial navigation (guide) is determined. If there is exist If the position difference between the comparator F1 and the inertial navigation system is within the range of [0, 2) nautical miles, the receiver data is believed; if it is outside the threshold, the receiver data is considered abnormal but not invalid. The position difference between the comparator F1 and the inertial navigation system is within the range of [0, 2) nautical miles, and the position difference between the comparator F2 and the antenna is within the range of [0, 2.00178) nautical miles.

[0099] Specifically, the embodiment of the present invention performs speed continuity detection. The continuity detection strategy adopts smooth and effective data frames. The last frame of valid data before this detection is counted as the original valid data. The first frame, the second frame... and then the 60 frames are judged. If all All exceeded If the difference between the first frame, the second frame, etc. and the original valid data is within the threshold range, the speed of the receiver and the inertial navigation is judged. If there is exist If the speed is within the threshold, the receiver data is believed. If it is outside the threshold, the receiver data is only considered abnormal, but not invalid. The speed difference threshold range between the receiver and the inertial navigation is [0,0.8) knots, and the speed difference threshold range between the receiver and the electromagnetic speed log is [0,0.8) knots.

[0100] S203: When the comparator is in state B, sampling is performed using the sampling frequency parameter as the sampling frequency, and a sliding window method is used for comparison and judgment. When the proportion of the number of samples exceeding the tolerance is less than or equal to a second tolerance threshold, the comparator is set to state A; when the proportion of the number of samples exceeding the tolerance is greater than the second tolerance threshold, the comparator is set to state B. In this embodiment of the present invention, the second tolerance threshold is set to 5%.

[0101] Specifically, the method for determining the first detection result in step S25 is shown in Table 1:

[0102] Table 1 First test result judgment table

[0103]

[0104] Among them, L means strong interference is unreliable; M means there is a certain amount of interference and there is a risk of interference; S means low interference is highly reliable.

[0105] Specifically, step S3 includes:

[0106] S31: Determine the state of the receiver. If the receiver is in a non-autonomous state, the second detection result is L.

[0107] S32: When the receiver data is invalid or the receiver is in the autonomous mode for a duration greater than or equal to 8 hours, the second detection result is M;

[0108] S33: The receiver data is valid, the receiver is in the autonomous mode, and the duration of the receiver being in the autonomous mode is less than 8 hours. The second detection result is S.

[0109] Among them, L means strong interference is unreliable; M means there is a certain amount of interference and there is a risk of interference; S means low interference is highly reliable.

[0110] Specifically, the judgment method described in step S4 is shown in Table 2:

[0111] Table 2 Comprehensive judgment results

[0112]

[0113] Specifically, as shown in Table 3, Table 3 is the specific experimental results of this embodiment:

[0114] Table 3 Experimental results of the embodiments of the present invention

[0115]

[0116] As shown in Table 3, the experimental results of the present invention are very accurate, which can control the misjudgment rate below 5% and increase the correct recognition rate to 90%~95%.

[0117] like Figure 2 As shown, the present invention provides a structural block diagram of a multi-parameter non-sensing signal interference identification device, including the following modules:

[0118] The data acquisition module 101 is used to obtain the antenna device parameters, inertial navigation device parameters, receiver device parameters and electromagnetic odometer parameters of the sensor suspected of being interfered with;

[0119] The detection module 102 is configured to perform an out-of-tolerance identification test based on the antenna guide device parameters, the inertial navigation device parameters, the receiver device parameters, and the electromagnetic odometer parameters to obtain a first test result; and perform a receiver status test on the receiver device to obtain a second test result;

[0120] The interference judgment module 103 is configured to perform a comprehensive judgment based on the first detection result and the second detection result to determine whether the sensor is interfered with, thereby obtaining a sensor interference judgment result.

[0121] Figure 3 An example of a physical structure diagram of an electronic device is shown below. Figure 3 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820, and the memory 830 communicate with each other via the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute the multi-parameter-based non-sensing signal interference identification method, which includes:

[0122] S1: Obtain the antenna equipment parameters, inertial navigation equipment parameters, receiver equipment parameters and electromagnetic speed log parameters of the sensor suspected to be interfered with;

[0123] S2: performing an out-of-tolerance identification test based on the antenna guide device parameters, the inertial navigation device parameters, the receiver device parameters, and the electromagnetic odometer parameters to obtain a first test result;

[0124] S3: Performing a receiver status detection on the receiver device to obtain a second detection result;

[0125] S4: A comprehensive determination is made based on the first and second detection results to determine whether the sensor is interfered with, thereby obtaining a sensor interference determination result. Furthermore, the logic instructions in the aforementioned memory 830 can be implemented as a software functional unit and, when sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product, stored in a storage medium, includes instructions for enabling a computer device (such as a personal computer, server, or network device) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0126] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0127] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

[0129] It should be noted that the embodiments of the present disclosure can be implemented by hardware, software, or a combination of software and hardware. The hardware portion can be implemented using dedicated logic; the software portion can be stored in a memory and executed by an appropriate instruction execution system such as a microprocessor or dedicated hardware. Those skilled in the art will understand that the above-mentioned devices and methods can be implemented using computer-executable instructions and / or contained in processor control code, for example, such code is provided on a programmable memory or a data carrier such as an optical or electronic signal carrier.

[0130] In addition, although the operations of the method of the present disclosure are described in a particular order in the accompanying drawings, this does not require or imply that these operations must be performed in this particular order, or that all the operations shown must be performed to achieve the desired result. On the contrary, the steps depicted in the flow chart can change the order of execution. Additionally or alternatively, certain steps can be omitted, multiple steps can be combined into one step, and / or one step can be decomposed into multiple steps. It should also be noted that the features and functions of two or more devices according to the present disclosure can be embodied in one device. Conversely, the features and functions of a device described above can be further divided into being embodied by multiple devices.

[0131] Although the present disclosure has been described with reference to several specific embodiments, it should be understood that the present disclosure is not limited to the specific embodiments disclosed. The present disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. A multi-parameter non-sensing signal interference identification method, characterized in that: include: S1: Obtain the antenna equipment parameters, inertial navigation equipment parameters, receiver equipment parameters and electromagnetic speed log parameters of the sensor suspected to be interfered with; S2: performing an out-of-tolerance identification test based on the antenna guide device parameters, the inertial navigation device parameters, the receiver device parameters, and the electromagnetic odometer parameters to obtain a first test result; S3: Performing a receiver status detection on the receiver device to obtain a second detection result; S4: Perform a comprehensive judgment based on the first detection result and the second detection result to determine whether the sensor is interfered with, and obtain a sensor interference judgment result.

2. The method for identifying signal interference based on multi-parameters without induction according to claim 1, characterized in that: Step S1 includes: Obtaining a position parameter from the antenna device parameters of the sensor; Obtaining position parameters and velocity parameters from the inertial navigation device parameters of the sensor; Acquiring state parameters, position parameters, and speed parameters from receiver device parameters of the sensor; The speed parameter in the electromagnetic odometer of the sensor is obtained.

3. The method for identifying signal interference based on multi-parameters without induction according to claim 2, characterized in that: Step S2 includes: S21: performing an out-of-tolerance identification test based on the position parameters of the receiver device and the position parameters of the inertial navigation device to obtain a comparator F1 result; S22: performing an out-of-tolerance identification test based on the position parameters of the receiver device and the position parameters of the antenna device to obtain a comparator F2 result; S23: performing an out-of-tolerance identification test based on the speed parameter of the receiver device and the speed parameter of the inertial navigation device to obtain a comparator F3 result; S24: performing an out-of-tolerance identification test based on the speed parameter of the receiver device and the speed parameter of the electromagnetic speed meter to obtain a comparator F4 result; S25: Perform out-of-tolerance identification and judgment according to the comparator F1 result, the comparator F2 result, the comparator F3 result, and the comparator F4 result to obtain a first detection result.

4. The method for identifying signal interference based on multi-parameters without induction according to claim 3, characterized in that: The steps for out-of-tolerance identification and detection in step S2 are: S201: Set the initial state of the comparator to A; S202: When the comparator is in state A, sampling is performed with the sampling frequency parameter as the sampling frequency, and a sliding window method is used for comparison and judgment. When the proportion of the number of samples exceeding the tolerance is greater than a first tolerance threshold, the comparator state is set to B; when the proportion of the number of samples exceeding the tolerance is less than or equal to the first tolerance threshold, the comparator state is set to A. S203: When the comparator is in state B, sampling is performed with the sampling frequency parameter as the sampling frequency, and the sliding window method is used for comparison and judgment. When the proportion of the number of out-of-tolerance samples is less than or equal to the second out-of-tolerance threshold, the state of the comparator is set to state A; when the proportion of the number of out-of-tolerance samples is greater than the second out-of-tolerance threshold, the state of the comparator is set to state B.

5. The method for identifying signal interference based on multi-parameters without induction according to claim 4, characterized in that: The first detection result determination method of step S25 is shown in Table 1: Table 1 First test result judgment table Among them, L means strong interference is unreliable; M means there is a certain amount of interference and there is a risk of interference; S means low interference is highly reliable.

6. The method for identifying signal interference based on multi-parameters without induction according to claim 4, characterized in that: The steps of the sliding window method include: S2001: According to the preset sampling frequency The sampling frequency is obtained as The first data sequence and the second data sequence ， in, is the data of the first data sequence, is the data of the second data sequence, is the data ordinal number, ; Specifically, the first data sequence is data of a receiver device corresponding to the comparator, and the second data sequence is data of another device corresponding to the comparator; S2002: Calculate the comparison difference And judge whether the comparison difference exceeds the difference threshold range : in, is the minimum value of the difference threshold range, is the maximum value of the difference threshold range; S2003: Calculate the proportion of samples with out-of-tolerance , in, To compare the difference Out of range threshold The number of data.

7. The method for identifying signal interference based on multi-parameters without induction according to claim 6, characterized in that: Step S3 includes: S31: Determine the state of the receiver. If the receiver is in a non-autonomous state, the second detection result is L. S32: When the receiver data is invalid or the receiver is in the autonomous mode for a duration greater than or equal to 8 hours, the second detection result is M; S33: The receiver data is valid, the receiver is in autonomous mode, and the duration of the receiver being in autonomous mode is less than 8 hours. The second detection result is S. Among them, L means strong interference is unreliable; M means there is a certain amount of interference and there is a risk of interference; S means low interference is highly reliable.

8. The method for identifying signal interference based on multi-parameters without induction according to claim 1, characterized in that: The comprehensive judgment method is shown in Table 2: Table 2 Comprehensive judgment results Among them, L means strong interference is unreliable; M means there is a certain amount of interference and there is a risk of interference; S means low interference is highly reliable.

9. A multi-parameter non-sensing signal interference identification system for executing a multi-parameter non-sensing signal interference identification method according to any one of claims 1 to 8, characterized in that: include: A data acquisition module is used to obtain the antenna equipment parameters, inertial navigation equipment parameters, receiver equipment parameters and electromagnetic speed log parameters of the sensor suspected of being interfered with; a detection module, configured to perform out-of-tolerance identification detection based on the antenna guide device parameters, the inertial navigation device parameters, the receiver device parameters, and the electromagnetic odometer parameters to obtain a first detection result; Performing a receiver status detection on the receiver device to obtain a second detection result; The interference judgment module is used to perform a comprehensive judgment based on the first detection result and the second detection result to determine whether the sensor is interfered with, and obtain a sensor interference judgment result.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method for identifying signal interference based on multiple parameters without induction are implemented as described in any one of claims 1 to 8.

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