An adaptive threshold interference type identification method, system, device and medium

Abstract

The application discloses a self-adaptive threshold interference type identification method, system, device and medium, and particularly relates to the technical field of navigation signal processing, and the technical points are as follows: a signal spectrum of an interference signal and a plurality of spectral line powers in the spectrum are acquired, and a power mean value obtained by averaging the plurality of spectral line powers is input into a threshold value calculation function to obtain a first threshold value; the first threshold value is updated by using a basic threshold value in combination with a pre-constructed update function to obtain a second threshold value; the plurality of spectral line powers are compared with the second threshold value in sequence to obtain a plurality of continuous values; the number of the continuous values is taken as a peak value, and the maximum value in the plurality of continuous values is taken as a maximum continuous value; based on an interference identification rule, the interference signal is identified by using the peak value and the maximum continuous value to obtain an interference type identification result, so that the threshold value can be automatically adjusted according to the change of the interference intensity, the accuracy of the interference type identification is improved, and the interference type identification is not affected by the intensity of the interference.

Description

Technical Field

[0001] The present invention relates to the technical field of navigation signal processing, and in particular to an adaptive threshold interference type identification method, system, device and medium. Background Art

[0002] In the field of satellite navigation anti-interference, in addition to suppressing interference, it is also necessary to identify the interference pattern. The definition of interference pattern (wideband, single-frequency, narrowband) is based on the bandwidth of the navigation signal. For example, if the bandwidth of a B3 navigation signal is 1268.52MHz ± 10.23MHz, then the wideband interference is 1268.52MHz ± 10.23MHz, the narrowband interference is 1268.52MHz ± 1.023MHz, and the single-frequency is 1268.52MHz. After the interference signal is received by the satellite navigation device, it is down-converted by the device's internal RF circuit before being sampled by the AD chip. When the interference signal is strong, the intermodulation performance limitations of the RF circuit can cause some signal distortion. In the frequency domain, the effect is an increase in the noise floor and phase noise. Due to the variability in the interference signal noise floor and phase noise, traditional interference type identification methods suffer from the problem that the decision threshold cannot adapt to all interference patterns in weak or strong interference scenarios, resulting in false positives or even failure to detect interference.

[0003] Therefore, the present invention aims to provide a method, system, device and medium for identifying interference types with an adaptive threshold to solve the above-mentioned related problems. Summary of the Invention

[0004] The technical problem to be solved by the present invention is that the traditional interference type identification method has the problem that the decision threshold cannot adapt to the identification of all interference patterns in weak interference or strong interference scenarios, and there are problems of misjudgment or inability to detect. The purpose is to provide an interference type identification method, system, equipment and medium with an adaptive threshold. By updating the first threshold value in the state of no interference signal and combining the update function, the first threshold value is updated to achieve automatic adjustment according to the change of interference intensity, thereby improving the accuracy of interference type identification and not being affected by the strength of interference; by comparing multiple spectral line powers with the second threshold value to obtain multiple continuous values, and the number of continuous values ​​is used as the peak value, and the maximum value among the multiple continuous values ​​is used as the maximum continuous value, so as to identify the interference type in combination with the interference identification rules, thereby solving the problem that the traditional interference type identification method has the problem that the decision threshold cannot adapt to the identification of all interference patterns in weak interference or strong interference scenarios, and there are problems of misjudgment or inability to detect.

[0005] The present invention is achieved through the following technical solutions:

[0006] An interference type identification method with an adaptive threshold, the method comprising:

[0007] Obtaining a signal spectrum of the interference signal and extracting multiple spectral line powers in the signal spectrum, and inputting a power average value obtained by averaging the multiple spectral line powers into a threshold value calculation function to obtain a first threshold value;

[0008] The first threshold value is updated using a basic threshold value obtained in an interference-free state in combination with a pre-built update function to obtain an updated second threshold value;

[0009] Comparing the powers of multiple spectral lines with the second threshold value in sequence according to the order in which the spectral lines are arranged to obtain multiple continuous values; taking the number of continuous values ​​as the peak value, and taking the maximum value among the multiple continuous values ​​as the maximum continuous value; wherein the continuous value represents the number of spectral line power values ​​that are continuously greater than the second threshold value;

[0010] Based on the pre-built interference identification rules, the interference signal is identified using the peak value and the maximum continuous value to obtain the interference type identification result.

[0011] Furthermore, the powers of the multiple spectral lines are compared with the second threshold value in sequence according to the order in which the spectral lines are arranged, specifically:

[0012] Based on the arrangement order of the spectral lines in the spectrum, the spectral line power is compared with the second threshold value in sequence. When the spectral line power is greater than the second threshold value, the comparison continues with the next spectral line power; when the spectral line power is not greater than the second threshold value, the number of spectral line powers between the spectral line power and the previous spectral line power that is not greater than the second threshold value is obtained as a continuous value, and the comparison continues with the next spectral line power.

[0013] Furthermore, based on the pre-built interference identification rules, the interference signal is identified using the peak value and the maximum continuous value to obtain the interference type identification result, which is specifically:

[0014] Based on the pre-built narrowband interference identification rules, the maximum continuous value or peak value is used to identify the wide and narrowband characteristics of the interference signal to obtain the narrowband identification result;

[0015] Based on the pre-built single-frequency interference identification rules, the single-frequency features of the interference signal are identified using the peak value and the maximum continuous value to obtain the single-frequency identification results;

[0016] The interference type identification result is obtained by combining the wide-band and narrow-band identification results with the single-frequency point identification results.

[0017] Furthermore, based on the pre-built narrowband interference identification rules, the narrowband features of the interference signal are identified using the maximum continuous value or peak value to obtain the narrowband identification results, specifically:

[0018] When the maximum continuous value is not less than the first preset decision value and less than the second preset decision value, the interference signal is a narrowband interference signal;

[0019] When the maximum continuous value is not less than the second preset decision value, or when the peak value is less than the third decision value, the interference signal is a broadband interference signal.

[0020] Furthermore, based on the pre-built single-frequency interference identification rules, the single-frequency features of the interference signal are identified using the peak value and the maximum continuous value to obtain the single-frequency identification results, specifically:

[0021] When the maximum continuous value is greater than the fourth preset decision value and less than the first preset decision value, and the peak value is less than the fifth preset decision value, the interference signal is a single-frequency interference signal.

[0022] Furthermore, the first threshold value is updated using the basic threshold value obtained in the interference-free state in combination with a pre-built update function to obtain an updated second threshold value; wherein the update function is specifically: ,in, Indicates the first threshold value; Indicates the basic threshold value; Indicates the second threshold.

[0023] The present invention further provides an adaptive threshold interference type identification system, which is used in any one of the above-mentioned adaptive threshold interference type identification methods, and the system includes:

[0024] A threshold value calculation module is used to obtain a signal spectrum of the interference signal and extract multiple spectral line powers in the signal spectrum, and input a power average value obtained by averaging the multiple spectral line powers into a threshold value calculation function to obtain a first threshold value;

[0025] A threshold value updating module, configured to update the first threshold value by using a basic threshold value obtained in an interference-free state in combination with a pre-built update function to obtain an updated second threshold value;

[0026] A spectral line power comparison module is configured to compare the powers of multiple spectral lines with a second threshold value in sequence according to the order in which the spectral lines are arranged, to obtain multiple continuous values; the number of continuous values ​​is used as the peak value, and the maximum value among the multiple continuous values ​​is used as the maximum continuous value; wherein the continuous value represents the number of spectral line power values ​​that are continuously greater than the second threshold value;

[0027] The interference type identification module is used to identify the interference signal based on the pre-built interference identification rules using the peak value and the maximum continuous value to obtain the interference type identification result.

[0028] The application further provides a computer device comprising a system memory and a processor, wherein the system memory stores a computer program, and the processor implements the steps of the method according to any one of claims 1 to 6 when executing the computer program.

[0029] The application further provides a computer readable storage medium, which stores a computer program, and the computer program implements the steps of the method according to any one of the above when executed by a processor.

[0030] The application further provides a computer program product comprising instructions which, when executed by a cluster of computer devices, cause the cluster of computer devices to perform the method according to any one of the above.

[0031] Compared with the prior art, the application has the following advantages and beneficial effects:

[0032] In the application, the first threshold value is updated by combining the basic threshold value in the non-interference signal state and the update function, so that the interference type recognition accuracy can be improved by automatically adjusting according to the change of the interference intensity, and the interference type recognition accuracy is not affected by the interference intensity; the number of continuous values is obtained by comparing the plurality of spectral line powers with the second threshold value, the number of continuous values is taken as the peak value, the maximum value in the plurality of continuous values is taken as the maximum continuous value, and the interference type is identified by combining the interference identification rule, so that the problem that the decision threshold of the traditional interference type recognition method cannot adapt to the recognition of all interference styles in the weak interference or strong interference scene, and the problems of misjudgment or inability to detect are solved. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the technical scheme of the exemplary embodiments of the application, the drawings needed in the embodiments will be briefly introduced as follows. It should be understood that the following drawings only show some embodiments of the application, and therefore should not be considered as limiting the scope, and other related drawings can be obtained by those skilled in the art without creative labor. In the drawings:

[0034] Figure 1 FIG. 1 is a flowchart of a method of an interference type recognition method with an adaptive threshold according to the present application;

[0035] FIG. 2(a) is a threshold effect diagram in a single frequency point strong interference according to the present application;

[0036] FIG. 2(b) is a threshold effect diagram in a narrowband strong interference according to the present application;

[0037] FIG. 2(c) is a threshold effect diagram in a wideband strong interference according to the present application;

[0038] FIG3( a ) is a diagram showing the threshold effect under single-frequency weak interference in this embodiment;

[0039] FIG3( b ) is a diagram showing the threshold effect under narrowband weak interference in this embodiment;

[0040] FIG3( c ) is a diagram showing the threshold effect under broadband weak interference in this embodiment;

[0041] Figure 4 Schematic diagram of system modules of an interference type identification system with adaptive threshold in this embodiment;

[0042] Figure 5 This is a structural diagram of a computer device in this embodiment. DETAILED DESCRIPTION

[0043] The following description of exemplary embodiments of the present disclosure is made in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be appreciated by those skilled in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0044] In this disclosure, unless otherwise specified, the use of terms such as "first" and "second" to describe various elements is not intended to limit the positional relationship, temporal relationship, or importance relationship of these elements. Such terms are only used to distinguish one element from another. In some examples, the first element and the second element may refer to the same instance of the element, while in some cases, based on the context of the description, they may also refer to different instances.

[0045] The terms used in the descriptions of various examples in this disclosure are for the purpose of describing specific examples only and are not intended to be limiting. Unless the context clearly indicates otherwise, if the number of elements is not specifically limited, the element may be one or more. In addition, the term "and / or" used in this disclosure encompasses any one and all possible combinations of the listed items.

[0046] As mentioned in the background, the signal's spectral noise floor and phase noise vary in strong and weak interference scenarios. The fixed threshold design results in significant differences in the number of points exceeding the threshold for the same interference type at different intensities, leading to subsequent interference type identification errors.

[0047] The adaptive threshold interference recognition technology of this technical solution is to adaptively adjust the threshold size according to the signal strength, see Figure 2(a)-Figure 2(c) and Figure 3(a)-Figure 3(c)As shown in the figure, schematic diagrams of the interference detection threshold effect under strong interference and weak interference are shown respectively. When the interference signal increases, the threshold automatically increases, and when the interference signal decreases, the threshold automatically decreases, ensuring that the number of spectral lines exceeding the threshold for the same interference type under different interference intensities is basically the same, ensuring the uniqueness of subsequent interference type identification. This technology can solve the problem that traditional interference identification technology fails in strong / weak interference scenarios. The specific technical solution is shown in the following embodiment:

[0048] Example 1

[0049] See also Figure 1 , Figure 1 A schematic flow chart of a method for identifying interference types using an adaptive threshold is shown, wherein the method includes:

[0050] S1: Obtain a signal spectrum of an interference signal and extract the power of multiple spectral lines in the signal spectrum, and input the power average calculated by averaging the power of the multiple spectral lines into a threshold value calculation function to obtain a first threshold value;

[0051] Specifically, in this embodiment, the interference signal received by the array element is first obtained, and then the interference signal is preprocessed, including signal synchronization, DC removal, and data windowing. This technical means is a conventional technical means in this field and will not be described in detail here; secondly, the processed interference signal is converted from fixed point to floating point, and the interference signal after floating point conversion is subjected to N-point fast Fourier transform operations to obtain the signal spectrum of the interference signal in the frequency domain; then, according to the spectral line power of multiple spectral lines in the extracted signal spectrum (the numerical value corresponding to each frequency point in the spectrum of the interference signal is a spectral line), the amplitude of the spectral line is squared; finally, the powers of multiple spectral lines are averaged to obtain the power mean ,in, represents the mean power, is the number of spectral lines within the interference signal bandwidth, Represents spectral lines K The spectral line power The square of ; Calculate the function based on the threshold value Calculate the first threshold .

[0052] It should be noted that, in this embodiment, when the first threshold When the square of the spectrum line amplitude under the narrowband interference type passes the threshold The probability is 0.9933; and because the first threshold The scope of application is narrowband interference, the first threshold There is a characteristic of broadband interference: most of the spectrum line power of broadband interference is within the first threshold value. Below, and there is always a spectrum line power at the first threshold Based on the above reasons and characteristics, the first threshold value is updated so that it is applicable to the detection of both broadband and narrowband interference.

[0053] S2: Using the basic threshold value obtained in the interference-free state and a pre-built update function to update the first threshold value, an updated second threshold value is obtained;

[0054] Specifically, in this embodiment, the basic threshold value is first calculated when there is no interference signal. The basic threshold value is slightly higher than the noise floor of the device, so as to ensure that the updated second threshold value will not be lower than the noise floor. The basic threshold value is calculated by using the threshold value calculation function when the device is in an interference-free environment. Therefore, the basic threshold value is a fixed value; then according to the update function The first threshold value is updated to obtain the second threshold value; the second threshold value can be updated by this updating method. Always at the first threshold and basic threshold The second threshold is It can simultaneously meet the identification requirements of narrowband interference and broadband interference.

[0055] S3: Comparing the powers of the multiple spectral lines with the second threshold value in sequence according to the order in which the spectral lines are arranged, to obtain multiple continuous values; taking the number of continuous values ​​as the peak value, and taking the maximum value among the multiple continuous values ​​as the maximum continuous value; wherein the continuous value represents the number of times that the spectral line power values ​​are continuously greater than the second threshold value;

[0056] Specifically, in this embodiment, the spectral line power is compared with the second threshold value in sequence based on the arrangement order of the spectral lines in the frequency spectrum. When the spectral line power is greater than the second threshold value, the next spectral line power is compared; when the spectral line power is not greater than the second threshold value, the number of spectral line powers between the spectral line power and the previous spectral line power that is not greater than the second threshold value is obtained as a continuous value, and the next spectral line power is compared; in this way, the comparison is continuously performed to obtain multiple continuous values; the number of continuous values ​​is taken as the peak value, and the maximum value among the multiple continuous values ​​is taken as the maximum continuous value.

[0057] For example, in the process of sequential comparison, assuming that the power of the third and ninth spectral lines is not greater than the second threshold value, and the power of the fourth to eighth spectral lines is greater than the second threshold value, then a continuous value of 5 is generated at this time; assuming that the power of the twelfth spectral line is not greater than the second threshold value, and the power of the tenth and eleventh spectral lines is greater than the second threshold value, then a continuous value of 2 is generated at this time; by continuously comparing in this way, if ten consecutive values ​​{5,6,9,1,4,4,5,3,6,8} are finally obtained, then the peak value is 10 and the maximum continuous value is 9.

[0058] S4: Based on the pre-built interference identification rules, the interference signal is identified using the peak value and the maximum continuous value to obtain the interference type identification result.

[0059] Specifically, in this embodiment, based on the pre-established narrowband interference identification rule, the maximum continuous value or the peak value is used to identify the wide-band and narrow-band characteristics of the interference signal to obtain a narrowband identification result, specifically: when the maximum continuous value is not less than the first preset decision value and is less than the second preset decision value, the interference signal is a narrowband interference signal; when the maximum continuous value is not less than the second preset decision value, or when the peak value is less than the third decision value, the interference signal is a broadband interference signal;

[0060] It should be noted that in this embodiment, in the field of navigation anti-interference, the interference signal bandwidth that accounts for 5% to 10% of the navigation signal bandwidth is narrowband interference. For example, the bandwidth of the B3 navigation signal is 20.46Mhz, and the minimum bandwidth of narrowband interference is 20.46Mhz. 1.23Mhz, the maximum bandwidth of narrowband interference 2.046Mhz, frequencies greater than 2.046Mhz are called broadband interference, and the first preset judgment value is , the second predicted decision value ,in, and To identify the interference bandwidth, is the sampling frequency, is the number of FFT frequency points;

[0061] At the same time, it should be noted that, in this embodiment, the third judgment value is the number of peaks that exceed the threshold. The number of peaks refers to the situation that when the broadband interference is weak, the spectrum will alternately exceed the second threshold. The number of times the spectrum line changes from below the second threshold to above the second threshold is defined as the number of peaks. Since there are many discontinuous areas in the broadband spectrum, when the broadband interference is weak, it is obviously not applicable to use the maximum number of spectrum line points exceeding the second threshold to make a judgment. Therefore, a judgment on the number of peaks is added. When the number of peaks exceeds the set threshold number, it can still be judged as broadband interference. If one of the two conditions is met, the judgment is valid. The introduction of the number of peaks increases the probability of identifying weak broadband interference.

[0062] Then, based on the pre-established single-frequency interference identification rule, the single-frequency feature of the interference signal is identified using the peak value and the maximum continuous value, and a single-frequency identification result is obtained. Specifically, when the maximum continuous value is greater than the fourth preset decision value and less than the first preset decision value, and the peak value is less than the fifth preset decision value, the interference signal is a single-frequency interference signal;

[0063] It should be noted that, in this embodiment, the fourth decision value , because the single frequency point of FFT is not a theoretical point, but a signal with a certain bandwidth. The specific bandwidth data is related to the RF indicators of the device. The phase noise of the current device is It is approximately 1MHz; the fifth decision value is a fixed value set according to the actual hardware environment and is not subject to excessive restrictions here; in this embodiment, in order to improve the reliability of the decision, the decision on the peak value is added.

[0064] Finally, the interference type identification result is obtained by combining the wide-band and narrow-band identification results with the single frequency point identification results.

[0065] It should be noted that, in this embodiment, the number of times representing the corresponding interference type is increased by 1 based on the wide-band and narrow-band identification results and the single frequency point identification results. Second-rate FFT spectrum judgment of the point, a certain interference type exceeds times, then this type of interference will be output.

[0066] Specifically, in this embodiment, the first threshold value is updated by combining the basic threshold value in the state of no interference signal with the update function to achieve automatic adjustment according to the change of interference intensity, thereby improving the accuracy of interference type identification and being unaffected by the strength of the interference; by comparing multiple spectral line powers with the second threshold value to obtain multiple continuous values, and taking the number of continuous values ​​as the peak value, and taking the maximum value among the multiple continuous values ​​as the maximum continuous value, the interference type is identified in combination with the interference identification rules, thereby solving the problem that the traditional interference type identification method has the problem that the decision threshold cannot adapt to the identification of all interference patterns in weak interference or strong interference scenarios, and there is misjudgment or inability to detect.

[0067] Example 2

[0068] See also Figure 4 As shown, the present invention also provides an adaptive threshold interference type identification system, which is used in any of the above-mentioned adaptive threshold interference type identification methods, and the system includes:

[0069] The threshold value calculation module 100 is used to obtain the signal spectrum of the interference signal and extract the power of multiple spectral lines in the signal spectrum, and input the power average calculated by averaging the power of the multiple spectral lines into the threshold value calculation function to obtain a first threshold value;

[0070] A threshold value updating module 200 is configured to update the first threshold value by using a basic threshold value obtained in an interference-free state in combination with a pre-built update function to obtain an updated second threshold value;

[0071] The spectrum line power comparison module 300 is configured to compare the power of multiple spectrum lines with the second threshold value in sequence according to the order in which the spectrum lines are arranged, thereby obtaining multiple continuous values; the number of continuous values ​​is used as the peak value, and the maximum value among the multiple continuous values ​​is used as the maximum continuous value; wherein the continuous value represents the number of times that the spectrum line power value is continuously greater than the second threshold value;

[0072] The interference type identification module 400 is configured to identify the interference signal based on pre-built interference identification rules using the peak value and the maximum continuous value to obtain an interference type identification result.

[0073] It should be noted that the modules in the system of Example 2 correspond to the steps in the method of Example 1. The steps in the method of Example 1 have been described in detail in Example 1. The contents of the modules in the system will not be described in detail in this Example 2.

[0074] Example 3

[0075] See also Figure 5 As shown, this embodiment further provides a computer device, including a system memory 1005 and a processor 1001, wherein the system memory 1005 stores a computer program, and the processor 1001 implements the steps of any of the above methods when executing the computer program.

[0076] It should be noted that the processor 1001 is configured to execute the steps of the above method embodiments according to the instructions in the program code. Alternatively, the processor 1001 implements the functions of the modules / units in the above system / device embodiments when executing the computer program.

[0077] Specifically, in this embodiment, the computer program may be divided into one or more modules / units, one or more modules / units being stored in the system memory 1005 and executed by the processor 1001 to implement the present application. One or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

[0078] The terminal device may be a computing device such as a desktop computer, laptop, PDA, or cloud server. The terminal device may include, but is not limited to, a processor 1001 and a system memory 1005. Those skilled in the art will appreciate that this does not limit the terminal device and may include more or fewer components than shown, or a combination of certain components, or different components. For example, the terminal device may also include an input / output device 1003, a network access device 1002, a bus 1006, and the like.

[0079] The processor 1001 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0080] The system memory 1005 can be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device. The system memory 1005 can also be the storage device 1004 of the terminal device, such as a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the terminal device. Furthermore, the system memory 1005 can also include both the internal storage unit of the terminal device and the storage device 1004. The system memory 1005 is used to store computer programs and other programs and data required by the terminal device. The system memory 1005 can also be used to temporarily store data that has been output or is about to be output.

[0081] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems, systems and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0082] Example 4

[0083] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of any one of the above methods are implemented.

[0084] Among them, the computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, system or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read Only Memory (EPROM), a register, a hard disk, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above, or any other form of computer-readable storage medium known in the art.

[0085] An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an application-specific integrated circuit (ASIC). In an embodiment of the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device.

[0086] Example 5

[0087] This embodiment further provides a computer program product comprising instructions. When the instructions are executed by a computer device cluster, the computer device cluster executes the method described in Embodiment 1.

[0088] The specific implementation methods 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 implementation method 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 identifying interference types with an adaptive threshold, characterized in that: Methods include: Obtaining a signal spectrum of the interference signal and extracting multiple spectral line powers in the signal spectrum, and inputting a power average value obtained by averaging the multiple spectral line powers into a threshold value calculation function to obtain a first threshold value; The first threshold value is updated using the basic threshold value obtained in the interference-free state in combination with a pre-built update function to obtain an updated second threshold value; wherein the update function is specifically: Where Th represents the first threshold value; T represents the basic threshold value; Th new Indicates the second threshold value; Comparing the powers of multiple spectral lines with the second threshold value in sequence according to the order in which the spectral lines are arranged to obtain multiple continuous values; taking the number of continuous values ​​as the peak value, and taking the maximum value among the multiple continuous values ​​as the maximum continuous value; wherein the continuous value represents the number of spectral line power values ​​that are continuously greater than the second threshold value; When the maximum continuous value is not less than the first preset judgment value and less than the second preset judgment value, the interference signal is a narrowband interference signal; when the maximum continuous value is not less than the second preset judgment value, or when the peak value is less than the third judgment value, the interference signal is a broadband interference signal; when the maximum continuous value is greater than the fourth preset judgment value and less than the first preset judgment value, and the peak value is less than the fifth preset judgment value, the interference signal is a single-frequency interference signal.

2. The method for identifying interference types using an adaptive threshold according to claim 1, wherein: The power of multiple spectral lines is compared with the second threshold value in the order of spectral line arrangement, specifically: Based on the arrangement order of the spectral lines in the spectrum, the spectral line power is compared with the second threshold value in sequence. When the spectral line power is greater than the second threshold value, the comparison continues with the next spectral line power; when the spectral line power is not greater than the second threshold value, the number of spectral line powers between the spectral line power and the previous spectral line power that is not greater than the second threshold value is obtained as a continuous value, and the comparison continues with the next spectral line power.

3. An adaptive threshold interference type identification system, characterized in that: The system is used in the interference type identification method with an adaptive threshold according to any one of claims 1-2, and the system includes: A threshold value calculation module is used to obtain a signal spectrum of the interference signal and extract multiple spectral line powers in the signal spectrum, and input a power average value obtained by averaging the multiple spectral line powers into a threshold value calculation function to obtain a first threshold value; The threshold value updating module is used to update the first threshold value by using the basic threshold value obtained in the interference-free state in combination with a pre-built update function to obtain an updated second threshold value; wherein the update function is specifically: Where Th represents the first threshold value; T represents the basic threshold value; Th new Indicates the second threshold value; A spectral line power comparison module is configured to compare the powers of multiple spectral lines with a second threshold value in sequence according to the order in which the spectral lines are arranged, to obtain multiple continuous values; the number of continuous values ​​is used as the peak value, and the maximum value among the multiple continuous values ​​is used as the maximum continuous value; wherein the continuous value represents the number of spectral line power values ​​that are continuously greater than the second threshold value; The interference type identification module is used to determine that when the maximum continuous value is not less than the first preset judgment value and less than the second preset judgment value, the interference signal is a narrowband interference signal; when the maximum continuous value is not less than the second preset judgment value, or when the peak value is less than the third judgment value, the interference signal is a broadband interference signal; when the maximum continuous value is greater than the fourth preset judgment value and less than the first preset judgment value, and the peak value is less than the fifth preset judgment value, the interference signal is a single-frequency interference signal.

4. A computer device comprising a system memory and a processor, wherein the system memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 2 are implemented.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 2 are implemented.

6. A computer program product comprising instructions, characterized in that When the instructions are executed by a computer device cluster, the computer device cluster is caused to perform the method according to any one of claims 1 to 2.

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