A method for quickly scanning and automatically avoiding air interface interference frequencies

Abstract

The present invention discloses a method for rapidly scanning and automatically avoiding air interface interference frequencies. Scanning parameters are set to achieve air interface interference frequency scanning. The collected data is subjected to spectrum analysis through fast Fourier transform, and the spectrum data is converted into spectrum data. The interference frequency is located by a periodic analysis algorithm. The present invention relates to the field of wireless communication technology. The method for rapidly scanning and automatically avoiding air interface interference frequencies, by setting scanning parameters, performs spectrum analysis on the collected data through fast Fourier transform, converts the received time-domain air interface signal into a frequency-domain signal sequence, and then converts the spectrum data into spectrum data. The interference frequency is located by a periodic analysis algorithm, the degree of influence of the interference frequency is determined, and the interference frequency is confirmed by multiple scanning and statistical analysis methods. This effectively improves the accuracy of interference frequency detection, reduces misjudgments, and determines a new operating frequency according to priority, achieving automatic avoidance operations and reducing the impact of equipment use.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless communications, and in particular to a method for quickly scanning and automatically avoiding air interface interference frequencies. Background Art

[0002] In wireless communication systems, air interface interference is one of the important factors affecting communication quality. Spectrum resources are scarce. With the development of integrated space-ground networks, conducting spectrum compatibility and coexistence research and finding the shared technical boundaries between services are very critical links.

[0003] The reference patent, titled "A Method for Avoiding Frequency Interference in Large-Scale Satellite Constellations Based on a Fixed Intercept" (Patent Publication Number: CN115604851A, Patent Publication Date: 2023-01-13), relates to the field of satellite communications and addresses the issue of co-frequency interference between satellite communication systems. The method comprises the following steps: initially, the beam of a non-geostationary satellite is always directed toward the center of the Earth, and the earth station communicating with the non-geostationary satellite is located at the equator; boundary latitudes are set at the north and south latitudes, with the equator located between the two boundary latitudes; and when the non-geostationary satellite is located between the two boundary latitudes, the non-geostationary satellite changes its beam direction to point to a fixed intercept on the Earth's axis, thereby preventing communications between the non-geostationary satellite and the earth station from interfering with communications between other satellites and earth stations.

[0004] Based on the description in the above-mentioned document, the existing manual frequency identification interference situation and then the operation of checking and avoiding it are slow in processing efficiency and difficult to adapt to the rapidly changing interference environment. In addition, there may be fluctuations at the same frequency, but the impact of the fluctuations cannot be further determined. The fluctuations may not cause interference, but may lead to misjudgment. Conversely, fluctuations at adjacent frequencies may also cause interference to the required frequency. For this reason, the present invention provides a method for quickly scanning and automatically avoiding air interface interference frequencies. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides a method for quickly scanning and automatically avoiding air interface interference frequencies, which solves the existing problem of manually identifying frequency interference situations and then checking to achieve avoidance. The processing efficiency is slow and it is difficult to adapt to the rapidly changing interference environment. In addition, there may be fluctuations at the same frequency, and the impact of the fluctuations cannot be further determined. The fluctuations may not cause interference, but may lead to misjudgment. Conversely, fluctuations at adjacent frequencies may also cause interference to the required frequency.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for quickly scanning and automatically avoiding air interface interference frequencies, specifically comprising the following steps:

[0007] Step 1: Set the scanning frequency band range, scanning step size, and scanning time interval to scan the air interface interference frequency within the area where the communication device is located;

[0008] Step 2: Perform spectrum analysis on the collected data through fast Fourier transform, converting the received time-domain air interface signal into a frequency-domain signal sequence, and then converting it into spectrum data. The interference frequency is located using a periodic analysis algorithm to determine the impact of the interference frequency.

[0009] Step 3: Based on the existing operating frequency of the communication device and the determined interference frequency, a suitable non-interferenced frequency is determined as a new operating frequency according to the priority of the remaining available frequencies, and the operating frequency of the wireless communication device is switched to the newly selected frequency;

[0010] Step 4: After the wireless communication device switches to the new operating frequency, continue to scan and monitor the air interface interference frequency. If a new interference frequency is found, repeat steps 2 to 3 to achieve timely adjustment of the operating frequency.

[0011] Preferably, the operation of converting the frequency domain signal sequence into spectrum data in step 2 is:

[0012] Extract the parameters of each frequency point from the frequency domain signal sequence, and one frequency point corresponds to one interference frequency, and obtain a frequency curve based on the frequency points;

[0013] The frequency curve uses the frequency of the periodic time as the horizontal axis and the amplitude as the vertical axis at the same starting point, and obtains function curves of different frequencies based on the frequency domain signal sequence.

[0014] Preferably, the operation of locating the interference frequency by using the spectrum data in step 2 by using a periodic analysis algorithm is:

[0015] A1. Set the segmentation period for different frequency function curves, set the first traversal window F(x1, y1) to perform feature extraction based on the segmented function curve segments, and determine the amplitude value points;

[0016] A2. Set the amplitude threshold value K according to the communication requirements, form a constant function and introduce it into the function curve. Then, set the second traversal window F(x2, y2) to move based on the constant function and realize feature extraction to determine the intersection point.

[0017] A3. Determine the channel usage at each frequency based on the combination of the amplitude value points and the intersection points, thereby determining and locating the interference frequency.

[0018] Preferably, the specific operation of determining the amplitude value point in A1 is:

[0019] a11. Select a frequency function curve for identification. The segmentation period is from the first to the third position where the function curve intersects the horizontal axis. The subsequent segmentation periods are kept consistent, and the segmentation operation of the remaining frequency function curves is performed with the same segmentation period.

[0020] a12. Based on the initial function curve segment, starting from the first position where the function curve intersects the horizontal axis, the movement direction of the first traversal window F(x1, y1) is along the curvature direction of the function curve segment, and the left center of the first traversal window F(x1, y1) is kept intersecting with the function curve segment. Then, the angle of the first traversal window F(x1, y1) is adjusted with the left center as the rotation point until the right center of the first traversal window F(x1, y1) intersects with the function curve segment, and the movement distance of the first traversal window F(x1, y1) each time is the length x1 of the corresponding first traversal window;

[0021] a13. Extract the image data identified each time the first traversal window F (x1, y1) moves, and perform analysis operations on the image data to determine the position and number of amplitude value points.

[0022] Preferably, the operation of analyzing the image data by step a13 is:

[0023] Implement grayscale processing on image data to determine the line segment features in the image data;

[0024] The line segment features are extracted to determine the specific amplitude form. Only images with line segment features that have the combined features of an increasing curve and a decreasing curve are retained. The images in which the curve first increases and then decreases are screened again. That is, the number of retained images is the number of amplitude value points, and the parameter information of the current frequency is obtained by tracing the source.

[0025] Preferably, the specific operation of determining the intersection point in A2 is:

[0026] a21. Introduce the constant function Y=K into the function curve segment, and the intersection of the constant function Y=K and the vertical axis is the initial point;

[0027] a22. Starting from the initial point, align the left center of the second traversal window F(x2, y2) with the initial point, and move the second traversal window F(x2, y2) along the constant function Y=K in a direction parallel to the horizontal axis, while keeping the right center of the second traversal window F(x2, y2) intersecting with the constant function Y=K. The distance moved each time by the second traversal window F(x2, y2) is the length of the second traversal window x2.

[0028] a23. Extract the image data identified each time the second traversal window F (x2, y2) moves, and perform analysis operations on the image data to determine the number of intersection points.

[0029] Preferably, the operation of analyzing the image data in step a23 is:

[0030] Implement grayscale processing on image data to determine the line segment features in the image data;

[0031] Extracting line segment features to determine the existence of image data with intersection points between two lines and retaining them, determining the number of intersection points based on the number of image data, and calculating the number of amplitude value points exceeding the amplitude value threshold based on the number of intersection points;

[0032] When the number of intersection points is odd, the expression is:

[0033] ;

[0034] When the number of intersection points is even, the expression is:

[0035] ;

[0036] And M n Indicates the number of amplitude value points in the nth period interval, and t n Indicates the number of intersection points in the nth period interval.

[0037] Preferably, the operation of determining the influence degree of the interference frequency in step 2 is:

[0038] Select any frequency and calculate the channel occupancy by combining the number of amplitude value points determined at the current frequency and the number of amplitude value points exceeding the amplitude value threshold;

[0039] The calculation formula is:

[0040] ;

[0041] Where R represents the channel occupancy rate, and M1+M2+…+M n It represents the sum of the amplitude value points that exceed the amplitude value threshold from the first to the nth cycle, and N1+N2+…+N n Indicates the sum of the amplitude value points from the first to the nth cycle, N n Indicates the number of amplitude value points in the nth period interval;

[0042] And the channel occupancy impact threshold is set to S. When R≥S, the current frequency is an abnormal interference frequency. Conversely, when R<S, the current frequency is a normal frequency.

[0043] Preferably, the step of determining a suitable undisturbed frequency as a new operating frequency according to the priority of the remaining available frequencies in step 3 is:

[0044] Sort all existing working frequencies in the order of their transmission positions on the device, match abnormal interference frequencies with working frequencies, and mark the working frequencies that are not interfered with;

[0045] Calculate the priority value of the undisturbed working frequency, select a frequency, and sort it according to the channel occupancy of the frequency, and the higher the channel occupancy, the larger the ranking value. Set the assignment weight of the interference impact of the adjacent frequency of the corresponding undisturbed working frequency to w, and take the frequency position of the current device as the starting point, rank the distance between the corresponding undisturbed working frequency and the frequency position of the current device, and the farther the distance, the larger the ranking value, and the ranking values ​​of the frequencies with the same distance on both sides are consistent, and set the assignment weight when switching the undisturbed working frequency to v;

[0046] Priority values ​​are calculated, and the minimum value among the priority values ​​is selected as the new operating frequency.

[0047] Preferably, the calculation formula of the priority value is:

[0048] J=(G g-1 +G g+1 )×w+H g ×v;

[0049] And J is the priority value of the remaining available frequencies, and the larger the value, the lower the priority. g-1 and G g+1 is the ranking value of the frequency channel occupancy on both sides of the current frequency, and H g The distance ranking value from the frequency position of the current device;

[0050] And the priority value of the current frequency is J min When , the current frequency is used as the new operating frequency.

[0051] Beneficial effects

[0052] The present invention provides a method for rapidly scanning and automatically avoiding air interface interference frequencies. Compared with the prior art, it has the following advantages:

[0053] 1. This method quickly scans and automatically avoids air interface interference frequencies. By setting scanning parameters, the collected data is subjected to spectrum analysis through fast Fourier transform, and the received time-domain air interface signal is converted into a frequency-domain signal sequence, which is then converted into spectrum data. The interference frequency is located by relying on a periodic analysis algorithm, and the degree of influence of the interference frequency is determined. The interference frequency is confirmed through multiple scans and statistical analysis methods, which effectively improves the accuracy of interference frequency detection and reduces misjudgments. The new operating frequency is determined according to priority, realizing automatic avoidance operations and reducing the impact of equipment use.

[0054] 2. This method quickly scans and automatically avoids air interface interference frequencies. By selecting any frequency and combining the number of amplitude value points of the current frequency with the number of amplitude value points exceeding the amplitude value threshold, the channel occupancy status is calculated. The channel occupancy impact threshold is then compared with the current calculated status to effectively determine whether the current frequency is a frequency of abnormal interference or has little impact on actual operations, thereby avoiding the problem of co-frequency interference.

[0055] 3. The method for quickly scanning and automatically avoiding air interface interference frequencies calculates the priority value of undisturbed working frequencies, selects a frequency, and sorts it according to the channel occupancy of the frequency. The higher the channel occupancy, the larger the ranking value. The corresponding undisturbed working frequencies are ranked according to the distance between them and the frequency position of the current device. The farther the distance is, the larger the ranking value is. Weights are assigned to calculate the priority value, thereby automatically adjusting the working frequency of the wireless communication device, achieving rapid and effective avoidance of interference, ensuring the stability and reliability of wireless communication, and continuously monitoring the air interface interference frequency. It can promptly detect and process new interference, and adapt to the complex and changeable wireless communication environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 is an operational flow chart of the automatic avoidance method of the present invention;

[0057] Figure 2 The figure is a logic flow chart of the automatic avoidance method of the present invention. DETAILED DESCRIPTION

[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0059] See also Figure 1-Figure 2 , the present invention provides two technical solutions:

[0060] Embodiment 1: A method for rapidly scanning and automatically avoiding air interface interference frequencies, specifically comprising the following steps:

[0061] Step 1: Set the scanning frequency band range, scanning step size, and scanning time interval to scan the air interface interference frequency within the area where the communication device is located;

[0062] Step 2: Perform spectrum analysis on the collected data through fast Fourier transform, converting the received time-domain air interface signal into a frequency-domain signal sequence, and then converting it into spectrum data. The interference frequency is located using a periodic analysis algorithm to determine the impact of the interference frequency.

[0063] Step 3: Based on the existing operating frequency of the communication device and the determined interference frequency, a suitable non-interferenced frequency is determined as a new operating frequency according to the priority of the remaining available frequencies, and the operating frequency of the wireless communication device is switched to the newly selected frequency;

[0064] Step 4: After the wireless communication device switches to the new operating frequency, continue to scan and monitor the air interface interference frequency. If a new interference frequency is found, repeat steps 2 to 3 to achieve timely adjustment of the operating frequency.

[0065] Among them, by setting the scanning parameters, the collected data is subjected to spectrum analysis through fast Fourier transform, the received time domain air interface signal is converted into a frequency domain signal sequence, and then converted into spectrum data. The interference frequency is located by relying on the periodic analysis algorithm, and the degree of influence of the interference frequency is judged. The interference frequency is confirmed through multiple scanning and statistical analysis methods, which effectively improves the accuracy of interference frequency detection and reduces misjudgment. The new operating frequency is determined according to the priority, and automatic avoidance operation is realized to reduce the impact of equipment use.

[0066] In the embodiment of the present invention, the operation of converting the frequency domain signal sequence into spectrum data in step 2 is:

[0067] Extract the parameters of each frequency point from the frequency domain signal sequence, and one frequency point corresponds to one interference frequency, and obtain a frequency curve based on the frequency points;

[0068] The frequency curve uses the frequency of the periodic time as the horizontal axis and the amplitude as the vertical axis at the same starting point, and obtains function curves of different frequencies based on the frequency domain signal sequence.

[0069] In the embodiment of the present invention, the operation of locating the interference frequency by using the spectrum data based on the periodic analysis algorithm in step 2 is as follows:

[0070] A1. Set the segmentation period for different frequency function curves, set the first traversal window F(x1, y1) to perform feature extraction based on the segmented function curve segments, and determine the amplitude value points;

[0071] A2. Set the amplitude threshold value K according to the communication requirements, form a constant function and introduce it into the function curve. Then, set the second traversal window F(x2, y2) to move based on the constant function and realize feature extraction to determine the intersection point.

[0072] A3. Determine the channel usage at each frequency based on the combination of the amplitude value points and the intersection points, thereby determining and locating the interference frequency.

[0073] In the embodiment of the present invention, the specific operation of determining the amplitude value point in A1 is:

[0074] a11. Select a frequency function curve for identification. The segmentation period is from the first to the third position where the function curve intersects the horizontal axis. The subsequent segmentation periods are kept consistent, and the segmentation operation of the remaining frequency function curves is performed with the same segmentation period.

[0075] a12. Based on the initial function curve segment, starting from the first position where the function curve intersects the horizontal axis, the movement direction of the first traversal window F(x1, y1) is along the curvature direction of the function curve segment, and the left center of the first traversal window F(x1, y1) is kept intersecting with the function curve segment. Then, the angle of the first traversal window F(x1, y1) is adjusted with the left center as the rotation point until the right center of the first traversal window F(x1, y1) intersects with the function curve segment, and the movement distance of the first traversal window F(x1, y1) each time is the length x1 of the corresponding first traversal window;

[0076] a13. Extract the image data identified each time the first traversal window F (x1, y1) moves, and perform analysis operations on the image data to determine the position and number of amplitude value points.

[0077] In the embodiment of the present invention, the operation of a13 for analyzing the image data is:

[0078] Implement grayscale processing on image data to determine the line segment features in the image data;

[0079] The line segment features are extracted to determine the specific amplitude form. Only images with line segment features that have the combined features of an increasing curve and a decreasing curve are retained. The images in which the curve first increases and then decreases are screened again. That is, the number of retained images is the number of amplitude value points, and the parameter information of the current frequency is obtained by tracing the source.

[0080] In the embodiment of the present invention, the specific operation of A2 to determine the intersection point is:

[0081] a21. Introduce the constant function Y=K into the function curve segment, and the intersection of the constant function Y=K and the vertical axis is the initial point;

[0082] a22. Starting from the initial point, align the left center of the second traversal window F(x2, y2) with the initial point, and move the second traversal window F(x2, y2) along the constant function Y=K in a direction parallel to the horizontal axis, while keeping the right center of the second traversal window F(x2, y2) intersecting with the constant function Y=K. The distance moved each time by the second traversal window F(x2, y2) is the length of the second traversal window x2.

[0083] a23. Extract the image data identified each time the second traversal window F (x2, y2) moves, and perform analysis operations on the image data to determine the number of intersection points.

[0084] In the embodiment of the present invention, the operation of a23 for analyzing the image data is:

[0085] Implement grayscale processing on image data to determine the line segment features in the image data;

[0086] Extracting line segment features to determine the existence of image data with intersection points between two lines and retaining them, determining the number of intersection points based on the number of image data, and calculating the number of amplitude value points exceeding the amplitude value threshold based on the number of intersection points;

[0087] When the number of intersection points is odd, the expression is:

[0088] ;

[0089] When the number of intersection points is even, the expression is:

[0090] ;

[0091] And M n Indicates the number of amplitude value points in the nth period interval, and t n Indicates the number of intersection points in the nth period interval.

[0092] In the embodiment of the present invention, the operation of determining the influence degree of the interference frequency in step 2 is:

[0093] Select any frequency and calculate the channel occupancy by combining the number of amplitude value points determined at the current frequency and the number of amplitude value points exceeding the amplitude value threshold;

[0094] The calculation formula is:

[0095] ;

[0096] Where R represents the channel occupancy rate, and M1+M2+…+M n It represents the sum of the amplitude value points that exceed the amplitude value threshold from the first to the nth cycle, and N1+N2+…+N n Indicates the sum of the amplitude value points from the first to the nth cycle, N n Indicates the number of amplitude value points in the nth period interval;

[0097] And the channel occupancy impact threshold is set to S. When R≥S, the current frequency is an abnormal interference frequency. Conversely, when R<S, the current frequency is a normal frequency.

[0098] Among them, by selecting any frequency and combining the number of amplitude value points determined at the current frequency and the number of amplitude value points exceeding the amplitude value threshold, the channel occupancy situation is calculated, and then the channel occupancy impact threshold is compared with the current calculated situation to effectively determine whether the current frequency is an abnormal interference frequency or has little impact on actual operations, thereby avoiding the problem of interference from the same frequency.

[0099] In the embodiment of the present invention, the steps of determining a suitable non-interferenced frequency as a new operating frequency according to the priority of the remaining available frequencies in step 3 are as follows:

[0100] Sort all existing working frequencies in the order of their transmission positions on the device, match abnormal interference frequencies with working frequencies, and mark the working frequencies that are not interfered with;

[0101] Calculate the priority value of the undisturbed working frequency, select a frequency, and sort it according to the channel occupancy of the frequency, and the higher the channel occupancy, the larger the ranking value. Set the assignment weight of the interference impact of the adjacent frequency of the corresponding undisturbed working frequency to w, and take the frequency position of the current device as the starting point, rank the distance between the corresponding undisturbed working frequency and the frequency position of the current device, and the farther the distance, the larger the ranking value, and the ranking values ​​of the frequencies with the same distance on both sides are consistent, and set the assignment weight when switching the undisturbed working frequency to v;

[0102] Priority values ​​are calculated, and the minimum value among the priority values ​​is selected as the new operating frequency.

[0103] In the embodiment of the present invention, the calculation formula of the priority value is:

[0104] J=(G g-1 +G g+1 )×w+H g ×v;

[0105] And J is the priority value of the remaining available frequencies, and the larger the value, the lower the priority. g-1 and G g+1 is the ranking value of the frequency channel occupancy on both sides of the current frequency, and H g The distance ranking value from the frequency position of the current device;

[0106] And the priority value of the current frequency is J min When , the current frequency is used as the new operating frequency.

[0107] Among them, by realizing the priority value calculation of the undisturbed working frequency, a frequency is selected and sorted according to the channel occupancy of the frequency, and the higher the channel occupancy, the larger the ranking value. The corresponding undisturbed working frequency is ranked according to the distance between it and the frequency position of the current device, and the farther the distance is, the larger the ranking value is. The weight is given to realize the calculation of the priority value, thereby automatically adjusting the working frequency of the wireless communication device, realizing fast and effective avoidance of interference, ensuring the stability and reliability of wireless communication, and continuously monitoring the air interface interference frequency, being able to timely detect new interference and deal with it, adapting to the complex and changeable wireless communication environment.

[0108] Example 2: Compared with Example 1, the specific operation is as follows: The present invention also discloses a specific implementation scheme as follows:

[0109] First, set the scanning frequency range to 2.4GHz-2.48GHz, the scanning step size to 1MHz, and the scanning interval to 100ms;

[0110] Then, an air interface signal with a duration of 10ms is collected and discretely sampled to obtain a discrete time domain signal sequence. The discrete time domain signal sequence is subjected to FFT transformation to obtain the corresponding frequency domain signal sequence. The function curve about each frequency is constructed to calculate the amplitude value of each frequency point in the frequency domain signal sequence. The amplitude threshold is preset to 40dBm, and the amplitude value points with an amplitude value exceeding 40dBm are determined as over-threshold amplitude value points. After scanning, it is found that the amplitude values ​​of the three frequency points of 2.42GHz, 2.44GHz, 2.45GHz and 2.47GHz exceed the threshold, and after multiple scans, their actual channel occupancy rates are 75%, 65%, 50% and 60% respectively. Therefore, 2.42GHz, 2.44GHz and 2.47GHz are confirmed as abnormal interference frequencies;

[0111] The preset available frequencies include 2.4GHz, 2.41GHz, 2.43GHz, 2.46GHz, and 2.48GHz. The frequencies that are not interfered with are 2.4GHz, 2.41GHz, 2.43GHz, 2.46GHz, and 2.48GHz.

[0112] According to the priority rule, the frequency with high and stable signal strength is selected first. The current frequency is 2.47 GHz. After calculation, it is found that the signal strength of 2.48 GHz is the highest and the stability is better. Therefore, 2.48 GHz is selected as the new operating frequency, and the operating frequency of the wireless communication device is switched to 2.48 GHz.

[0113] After the wireless communication device switches to the 2.48 GHz operating frequency, continue scanning and monitoring for air interface interference frequencies. If a new interference frequency is found, repeat the above steps and adjust the operating frequency in a timely manner.

[0114] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0115] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0116] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A method for rapidly scanning and automatically avoiding air interface interference frequencies, characterized by: The specific steps include: Step 1: Set the scanning frequency band range, scanning step size, and scanning time interval to scan the air interface interference frequency within the area where the communication device is located; Step 2: Perform spectrum analysis on the collected data through fast Fourier transform, converting the received time-domain air interface signal into a frequency-domain signal sequence, and then converting it into spectrum data. The interference frequency is located using a periodic analysis algorithm to determine the impact of the interference frequency. Step 3: Based on the existing operating frequency of the communication device and the determined interference frequency, a suitable non-interferenced frequency is determined as the new operating frequency according to the priority of the remaining available frequencies, and the operating frequency of the communication device is switched to the newly selected frequency; Step 4: After the communication device switches to the new operating frequency, continue to scan and monitor the air interface interference frequency. If a new interference frequency is found, repeat steps 2 to 3 to adjust the operating frequency in a timely manner. The operation of converting the frequency domain signal sequence into spectrum data in step 2 is: Extract the parameters of each frequency point from the frequency domain signal sequence, and one frequency point corresponds to one interference frequency, and obtain a frequency curve based on the frequency points; The frequency curve uses the frequency of the periodic time as the horizontal axis and the amplitude as the vertical axis at the same starting point, and obtains function curves of different frequencies based on the frequency domain signal sequence; The operation of locating the interference frequency by using the periodic analysis algorithm based on the spectrum data in step 2 is as follows: A1. Set the segmentation period for different frequency function curves, set the first traversal window F(x1, y1) to perform feature extraction based on the segmented function curve segments, and determine the amplitude value points; A2. Set the amplitude threshold value K according to the communication requirements, form a constant function and introduce it into the function curve. Then, set the second traversal window F(x2, y2) to move based on the constant function and realize feature extraction to determine the intersection point. A3. Determine the channel usage at each frequency based on the combination of amplitude value points and intersection points, thereby determining and locating the interference frequency; The operation of determining the influence degree of the interference frequency in step 2 is: Select any frequency and calculate the channel occupancy by combining the number of amplitude value points determined at the current frequency and the number of amplitude value points exceeding the amplitude value threshold; The calculation formula is: ； Where R represents the channel occupancy rate, and It represents the sum of the amplitude value points that exceed the amplitude value threshold from the first to the nth cycle, and Indicates the sum of the amplitude value points from the first to the nth cycle, N n Indicates the number of amplitude value points in the nth period interval; And the channel occupancy impact threshold is set to S. When R≥S, the current frequency is an abnormal interference frequency. Conversely, when R<S, the current frequency is a normal frequency.

2. The method for rapidly scanning and automatically avoiding air interface interference frequencies according to claim 1, wherein: The specific operation of determining the amplitude value point in A1 is: a11. Select a frequency function curve for identification. The segmentation period is from the first to the third position where the function curve intersects the horizontal axis. The subsequent segmentation periods are kept consistent, and the segmentation operation of the remaining frequency function curves is performed with the same segmentation period. a12. Based on the initial function curve segment, starting from the first position where the function curve intersects the horizontal axis, the movement direction of the first traversal window F(x1, y1) is along the curvature direction of the function curve segment, and the left center of the first traversal window F(x1, y1) is kept intersecting with the function curve segment. Then, the angle of the first traversal window F(x1, y1) is adjusted with the left center as the rotation point until the right center of the first traversal window F(x1, y1) intersects with the function curve segment, and the movement distance of the first traversal window F(x1, y1) each time is the length x1 of the corresponding first traversal window; a13. Extract the image data identified each time the first traversal window F (x1, y1) moves, and perform analysis operations on the image data to determine the position and number of amplitude value points.

3. The method for rapidly scanning and automatically avoiding air interface interference frequencies according to claim 2, wherein: The operation of a13 for analyzing the image data is as follows: Implement grayscale processing on image data to determine the line segment features in the image data; The line segment features are extracted to determine the specific amplitude form. Only images with line segment features that have the combined features of an increasing curve and a decreasing curve are retained. The images in which the curve first increases and then decreases are screened again. That is, the number of retained images is the number of amplitude value points, and the parameter information of the current frequency is obtained by tracing the source.

4. The method for rapidly scanning and automatically avoiding air interface interference frequencies according to claim 1, wherein: The specific operation of A2 to determine the intersection point is: a21. Introduce the constant function Y=K into the function curve segment, and the intersection of the constant function Y=K and the vertical axis is the initial point; a22. Starting from the initial point, align the left center of the second traversal window F(x2, y2) with the initial point, and move the second traversal window F(x2, y2) along the constant function Y=K in a direction parallel to the horizontal axis, while keeping the right center of the second traversal window F(x2, y2) intersecting with the constant function Y=K. The distance moved each time by the second traversal window F(x2, y2) is the length of the second traversal window x2. a23. Extract the image data identified each time the second traversal window F (x2, y2) moves, and perform analysis operations on the image data to determine the number of intersection points.

5. The method for quickly scanning and automatically avoiding air interface interference frequencies according to claim 4, characterized in that: The operation of a23 for analyzing the image data is as follows: Implement grayscale processing on image data to determine the line segment features in the image data; Extracting line segment features to determine the existence of image data with intersection points between two lines and retaining them, determining the number of intersection points based on the number of image data, and calculating the number of amplitude value points exceeding the amplitude value threshold based on the number of intersection points; When the number of intersection points is odd, the expression is: ； When the number of intersection points is even, the expression is: ； And M n Indicates the number of amplitude value points in the nth period interval, and t n Indicates the number of intersection points in the nth period interval.

6. The method for quickly scanning and automatically avoiding air interface interference frequencies according to claim 1, characterized in that: In step 3, the steps of determining a suitable undisturbed frequency as a new operating frequency according to the priority of the remaining available frequencies are as follows: All existing working frequencies are sorted in the order of the transmission positions of the communication equipment, and after the abnormal interference frequencies are matched with the working frequencies, the working frequencies that are not interfered with are marked; Calculate the priority value of the undisturbed working frequency, select a frequency, and sort it according to the channel occupancy of the frequency, and the higher the channel occupancy, the larger the ranking value, set the assignment weight of the interference impact of the adjacent frequency of the corresponding undisturbed working frequency to w, and take the frequency position of the current communication device as the starting point, rank the distance between the corresponding undisturbed working frequency and the frequency position of the current communication device, and the farther the distance, the larger the ranking value, and the ranking values ​​of the frequencies with the same distance on both sides are consistent, and set the assignment weight when switching the undisturbed working frequency to v; Priority values ​​are calculated, and the minimum value among the priority values ​​is selected as the new operating frequency.

7. The method for quickly scanning and automatically avoiding air interface interference frequencies according to claim 6, characterized in that: The calculation formula of the priority value is: J=(G g-1 +G g+1 )×w+H g ×v; And J is the priority value of the remaining available frequencies, and the larger the value, the lower the priority. g-1 and G g+1 is the ranking value of the frequency channel occupancy on both sides of the current frequency, and H g The ranking value of the distance from the frequency position of the current communication device; And the priority value of the current frequency is J min When , the current frequency is used as the new operating frequency.

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