Beyond-visual-range wireless communication intelligent rapid link establishing method

Abstract

The invention belongs to the technical field of wireless communication, and particularly relates to a beyond-visual-range wireless communication intelligent rapid link establishing method. According to the invention, through carrying out multi-dimensional analysis on a communication environment and combining a plurality of key links such as a signal coverage blind area, frequency band stability and identity authentication, intelligent and rapid link establishment of beyond-visual-range wireless communication is realized; the optimal communication window period in the future time period can be accurately predicted by collecting and analyzing environmental parameters such as the electromagnetic interference intensity, the obstacle position and the channel quality parameter in the communication environment, so that the influence of the communication blind area on the communication quality is effectively avoided, and the optimal communication window period can be accurately predicted based on the predicted optimal communication window period. According to the method, the spectrum resources are dynamically allocated in the preset micro-interval period, efficient utilization of communication resources is ensured, and meanwhile, the reliability and the stability of communication are further improved by adjusting the occurrence angles of the high-frequency-band signals and the low-frequency-band signals and constructing a cross-frequency-band redundant transmission link.

Description

Technical Field

[0001] The present invention belongs to the technical field of wireless communications, and in particular relates to a method for intelligent and rapid link establishment in over-the-horizon wireless communications. Background Art

[0002] With the continuous development of wireless communication technology, beyond-line-of-sight communication is increasingly used in military, emergency communication, remote monitoring and other fields. However, the beyond-line-of-sight communication process is easily affected by factors such as atmospheric interference and obstacle obstruction, resulting in unstable communication links and reduced data transmission quality. Therefore, how to achieve intelligent and rapid link establishment in beyond-line-of-sight wireless communication has become an urgent problem to be solved in the current field of wireless communication technology.

[0003] In the existing technology, fixed frequency bands and communication windows are usually used for data transmission. This lacks dynamic adaptability to the communication environment and cannot be intelligently adjusted according to real-time environmental parameters. As a result, the communication link is susceptible to interference and obstacles, reducing the stability and reliability of communication. Based on this, the present invention proposes a method for intelligent and rapid link establishment in beyond-line-of-sight wireless communication to solve the above problems. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for intelligent and rapid link establishment of over-the-horizon wireless communication, which can dynamically adjust the communication strategy according to real-time environmental parameters and improve the stability and reliability of communication.

[0005] The technical solutions adopted by the present invention are as follows:

[0006] A method for intelligently and rapidly establishing a link in over-the-horizon wireless communication, comprising:

[0007] Collect environmental parameters in the communication environment, including electromagnetic interference intensity, obstacle location, and channel quality parameters, and simultaneously obtain historical channel transmission records;

[0008] Conduct time series correlation analysis on environmental parameters and historical channel transmission records to extract dynamic change characteristics of signal coverage blind spots. Based on these characteristics, predict the optimal communication window period in the future and the corresponding frequency band stability parameters.

[0009] Based on the optimal communication window, spectrum resources are dynamically allocated within a preset micro-interval period, and the generation angles of high-band and low-band signals are synchronously adjusted to build cross-band redundant transmission links.

[0010] Distributed nodes are used to mutually recognize and verify the identities of the communicating parties. Once the verification is passed, cross-band redundant transmission links are started within the preferred communication window to complete the rapid establishment of beyond-line-of-sight wireless communication links.

[0011] In a preferred embodiment, when collecting environmental parameters in the communication environment, a distributed network of spectrum monitoring nodes is used for network scanning to obtain real-time three-dimensional spatial distribution data of electromagnetic interference intensity in each frequency band. The position and movement trajectory of obstacles are monitored by a millimeter-wave radar array, and channel quality parameters are obtained through channel sounding signals and pilot sequence analysis;

[0012] An environmental parameter database is established, and the electromagnetic interference intensity, obstacle position, and channel quality parameters are time-space aligned with historical channel transmission records.

[0013] In a preferred embodiment, the step of performing time series correlation analysis on environmental parameters and historical channel transmission records to extract dynamic change characteristics of signal coverage blind areas includes:

[0014] Draw a dynamic map of obstacle distribution based on the movement trajectory of obstacles, generate a channel parameter change curve in the time dimension, and construct a spatio-temporal map reflecting the movement law of blind areas through data cross-comparison;

[0015] Calculate the rate of change of the blind area area over time based on the spatio-temporal map;

[0016] Based on the rate of change of the blind area area and the blind area recovery time in the historical channel transmission records, extract the dynamic change characteristics of the signal coverage blind areas in each frequency band;

[0017] Among them, the dynamic change characteristics include repetitive characteristics and sudden characteristics. The repetitive characteristics are used to describe the law of periodic occurrence of signal coverage blind areas over time, and the sudden characteristics are used to describe the non-periodic law of sudden appearance of signal coverage blind areas.

[0018] In a preferred embodiment, the step of extracting the dynamic change characteristics of the signal coverage blind areas in each frequency band based on the rate of change of the blind area area and the blind area recovery time in the historical channel transmission records includes:

[0019] Extract the main frequency components in the historical blind area recovery time series;

[0020] Compare the current rate of change of the blind area area with the main frequency components in the historical blind area recovery time series;

[0021] If the current rate of change of the blind area area matches the main frequency components, it is determined that the current blind area change has repetitive characteristics, and the period corresponding to the repetitive characteristics is extracted as the prediction period for the periodic occurrence of signal coverage blind areas;

[0022] If the current rate of change of the blind area area does not match the main frequency components and exceeds the preset threshold range, it is determined that the current blind area change has sudden characteristics, and the occurrence time corresponding to the sudden characteristics is used as the prediction time for the non-periodic occurrence of signal coverage blind areas;

[0023] Among them, when repetitive features and sudden features exist simultaneously in the same period, the interference intensity of the sudden feature on the periodic feature is measured, and when the interference intensity exceeds the preset interference threshold, the sudden feature is taken as the dominant factor, otherwise, the repetitive feature is taken as the dominant factor.

[0024] In a preferred embodiment, the step of predicting the preferred communication window period in the future time period and the corresponding frequency band stability parameter based on the dynamic change characteristics of the signal coverage blind area includes:

[0025] The prediction period corresponding to the repetitive feature is decomposed into time series to extract the minimum coverage period of the periodic blind area. Combined with the corresponding stable communication period in the historical channel transmission record, a candidate set of periodic communication window periods is generated.

[0026] The predicted time corresponding to the burst characteristics is collected, and the duration of the burst blind zone and the attenuation coefficient of the interference intensity with the adjacent frequency band are calculated through a sliding time window. The attenuation coefficient is multiplied by the duration of the burst blind zone to obtain the burst blind zone impact index;

[0027] The communication periods in which the sudden blind zone impact index is lower than the preset impact threshold are regarded as non-periodic communication windows and summarized as a candidate set of sudden communication windows;

[0028] Merge the communication time periods in the periodic communication window period set and the burst communication window period set, remove the overlapping parts, and obtain the candidate window period set in the future period;

[0029] Collect the bit error rate, signal-to-noise ratio, and interference intensity change rate corresponding to each candidate window period in the candidate window period set;

[0030] Dynamic weights are assigned to the bit error rate, signal-to-noise ratio, and interference intensity change rate, and are input into the stability evaluation function to calculate the frequency band stability parameters for each candidate window period.

[0031] The candidate windows are sorted according to the frequency band stability parameter, and the candidate window with the highest frequency band stability parameter is selected as the preferred communication window.

[0032] In a preferred solution, the step of dynamically allocating spectrum resources within a preset micro-interval period based on the preferred communication window period includes:

[0033] Divide the priority communication window into multiple consecutive micro-interval periods and calculate the priority index of the currently available frequency band;

[0034] At the start of each micro-interval period, determine the spectral resource allocation ratio for each frequency band according to the priority index. Among them, the high-frequency band is configured with a burst data transmission period, and the low-frequency band is configured with a continuous communication period. The burst data transmission period and the continuous communication period are arranged alternately within the micro-cycle;

[0035] Real-time collect the throughput under the high-frequency band and the low-frequency band, calculate the ratio between the throughput under the high-frequency band and the low-frequency band, and record it as the regulation condition parameter;

[0036] Compare the regulation condition parameter with the preset regulation threshold. When the regulation condition parameter exceeds the regulation threshold, re-perform the spectral resource allocation. Otherwise, maintain the current spectral resource allocation ratio until the end of the preferred communication window period.

[0037] In a preferred solution, the step of adjusting the occurrence angle of the high-frequency band signal and the low-frequency band signal and constructing a cross-frequency band redundant transmission link includes:

[0038] Obtain the real-time relative azimuth angle between the high-frequency band signal and the obstacle. When the real-time relative azimuth angle is lower than the critical angle threshold, adjust the occurrence angle of the high-frequency band signal so that the real-time relative azimuth angle between the high-frequency band signal and the obstacle is greater than the critical angle threshold;

[0039] The low-frequency band signal uses a multi-antenna array to enhance the signal transmission intensity, and forms a directional beam by adjusting the phase and amplitude of each antenna unit to bypass the obstacle;

[0040] When the high-frequency band angle adjustment amplitude exceeds the preset adjustment amplitude threshold, trigger the compensation adjustment of the low-frequency band azimuth angle, and the compensation adjustment amplitude is proportional to the high-frequency band angle adjustment amplitude;

[0041] During the dual-frequency band transmission process, check the data consistency within consecutive micro-interval periods. When the data consistency within consecutive micro-interval periods reaches the preset consistency threshold, determine that the redundant link is established. Otherwise, trigger the cross-frequency band data verification mechanism and use the backup data in the redundant transmission link for data recovery.

[0042] In a preferred solution, the step of using distributed nodes to mutually recognize and verify the identity of the communication parties and start the cross-frequency band redundant transmission link within the preferred communication window period after verification includes:

[0043] Deploy distributed identity authentication nodes through the blockchain network;

[0044] When an authentication request is initiated, the authentication node generates a verification vector including a timestamp, a location fingerprint, and channel characteristics;

[0045] The communicating party sends the verification vector to the other communicating party. After receiving the verification vector, the other communicating party uses the authentication node deployed locally to verify the verification vector;

[0046] If the verification passes, the identities of both communicating parties are successfully mutually recognized, entering the preferred communication window period, and starting the establishment process of the cross-band redundant transmission link. Otherwise, enter the identity re-authentication process, regenerate the verification vector for verification until the identities of both communicating parties are successfully mutually recognized.

[0047] The present invention also provides an over-the-horizon wireless communication intelligent and fast link establishment system, which uses the above-mentioned over-the-horizon wireless communication intelligent and fast link establishment method, including:

[0048] A data acquisition module, used to collect environmental parameters in the communication environment. The environmental parameters include electromagnetic interference intensity, obstacle position, and channel quality parameters, and synchronously obtain the historical channel transmission record;

[0049] A window period prediction module, used to perform time series correlation analysis on the environmental parameters and the historical channel transmission record, extract the dynamic change characteristics of the signal coverage blind area, and based on the dynamic change characteristics of the signal coverage blind area, predict the preferred communication window period in the future period and the corresponding frequency band stability parameters;

[0050] A link construction module, used to dynamically allocate spectrum resources within a preset micro-interval period based on the preferred communication window period, and synchronously adjust the emission angles of the high-frequency band signal and the low-frequency band signal to construct a cross-band redundant transmission link;

[0051] An identity verification module, used to verify the mutual recognition of the identities of the communicating parties by using distributed nodes, and after the verification passes, start the cross-band redundant transmission link within the preferred communication window period to complete the fast link establishment of over-the-horizon wireless communication.

[0052] And an electronic device, the electronic device includes:

[0053] At least one processor;

[0054] And a memory communicatively connected to the at least one processor;

[0055] Wherein, the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned over-the-horizon wireless communication intelligent and fast link establishment method.

[0056] The technical effects achieved by the present invention are:

[0057] Through multi-dimensional analysis of the communication environment and combination of multiple key links such as signal coverage blind spots, frequency band stability, and identity authentication, the present invention realizes intelligent and rapid link establishment for beyond-line-of-sight wireless communication. First, by collecting and analyzing environmental parameters such as electromagnetic interference intensity, obstacle positions, and channel quality parameters in the communication environment, the preferred communication window period in the future time period can be accurately predicted, which effectively avoids the impact of communication blind spots on communication quality. Based on the predicted preferred communication window period, the present invention dynamically allocates spectrum resources within a preset micro-interval period, ensuring the efficient utilization of communication resources. At the same time, by adjusting the emission angles of high-frequency band signals and low-frequency band signals, a cross-frequency band redundant transmission link is constructed, further improving the reliability and stability of communication. Finally, distributed nodes are used to mutually recognize and verify the identities of communication parties, which not only enhances the security of communication but also provides a strong guarantee for the smooth establishment of the cross-frequency band redundant transmission link. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 is a schematic flow chart of the method of the present invention;

[0059] Figure 2 is a schematic diagram of the system module of the present invention;

[0060] Figure 3 is a schematic diagram of the structure of the electronic device of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0061] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be given with reference to the accompanying drawings of the specification.

[0062] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar promotions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0063] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that can be included in at least one implementation manner of the present invention. The "in a preferred embodiment" that appears in different places in this specification does not all refer to the same embodiment, nor is it a separate or alternative embodiment that excludes other embodiments.

[0064] Please refer to Figure 1 as shown, the present invention provides a method for intelligent and rapid link establishment of beyond-line-of-sight wireless communication, including:

[0065] S1. Collect environmental parameters in the communication environment. The environmental parameters include electromagnetic interference intensity, obstacle positions, and channel quality parameters, and synchronously obtain historical channel transmission records.

[0066] In the step S1, when ultra - horizon wireless communication is required, various environmental parameters in the communication environment are first comprehensively collected. The environmental parameters not only cover the intensity of electromagnetic interference, the specific positions of obstacles, but also include various parameters of channel quality. In addition, detailed records of historical channel transmissions are synchronously obtained to provide corresponding data support for subsequent analysis. Among them, when collecting environmental parameters in the communication environment, a network of distributed spectrum monitoring nodes is used for scanning to obtain the three - dimensional spatial distribution data of electromagnetic interference intensity at each frequency band in real time. The positions and movement trajectories of obstacles are monitored by a millimeter - wave radar array, and channel quality parameters are obtained through the analysis of channel sounding signals and pilot sequences.

[0067] Establish an environmental parameter database, and perform spatio - temporal alignment on the electromagnetic interference intensity, obstacle positions, and channel quality parameters with the historical channel transmission records.

[0068] Specifically, when collecting various environmental parameters in the communication environment, a series of spectrum monitoring nodes are first distributed in the communication area, and the network of spectrum monitoring nodes is scanned comprehensively. In this way, the three - dimensional spatial distribution data of electromagnetic interference intensity at each frequency band can be obtained in real time. At the same time, a millimeter - wave radar array is introduced to monitor and capture the specific positions and movement trajectories of various obstacles in the communication environment. Obstacles include buildings, vehicles, or other objects. In addition, key channel quality parameters are obtained by sending channel sounding signals and combining the analysis of pilot sequences. Then, a corresponding environmental parameter database is established to store the above - collected environmental parameters, including electromagnetic interference intensity, obstacle positions, channel quality parameters, and historical channel transmission records. Finally, the electromagnetic interference intensity, obstacle positions, and channel quality parameters are spatio - temporally aligned with the historical channel transmission records to ensure the accuracy and consistency of the data.

[0069] S2. Conduct time - series correlation analysis on the environmental parameters and historical channel transmission records, extract the dynamic change characteristics of the signal coverage blind area, and based on the dynamic change characteristics of the signal coverage blind area, predict the optimal communication window period and the corresponding frequency - band stability parameters in the future time period.

[0070] In the step S2, after the environmental parameters are collected, a time series correlation analysis will be performed on the collected environmental parameters and the historical channel transmission records, and the dynamic change characteristics of the signal coverage blind area will be extracted from them. Then, based on the dynamic change characteristics, the optimal communication window period in the future time period will be predicted, and the corresponding frequency band stability parameters will be output. Among them, the steps of performing a time series correlation analysis on the environmental parameters and the historical channel transmission records and extracting the dynamic change characteristics of the signal coverage blind area include:

[0071] Draw a dynamic map of the obstacle distribution according to the movement trajectory of the obstacle, generate a channel parameter change curve in the time dimension, and construct a spatio-temporal map reflecting the movement law of the blind area through data cross-comparison;

[0072] Calculate the change rate of the blind area area with time according to the spatio-temporal map;

[0073] Based on the change rate of the blind area area and the blind area recovery time in the historical channel transmission records, extract the dynamic change characteristics of the signal coverage blind area of each frequency band;

[0074] Among them, the dynamic change characteristics include repetitive characteristics and sudden characteristics. The repetitive characteristics are used to describe the law of the signal coverage blind area appearing periodically with time, and the sudden characteristics are used to describe the non-periodic law of the signal coverage blind area suddenly appearing;

[0075] Specifically, first, a dynamic map of the obstacle distribution at different time points will be drawn according to the movement trajectory of the obstacle, and a change curve of the channel parameters will be generated in the time dimension. Then, the influence of the obstacle on the signal transmission can be intuitively observed. Then, data cross-comparison will be performed on the dynamic map and the change curve to construct a spatio-temporal map that can reflect the movement law of the blind area. This spatio-temporal map not only contains the distribution information in space but also integrates the change trend in time. On this basis, according to the constructed spatio-temporal map, the change rate of the blind area area with time will be further calculated, and then the expansion or contraction of the blind area in different time periods can be quantified. Then, based on the change rate of the blind area area ( In the formula, v(t) represents the change rate of the blind area, A(t) represents the function for measuring the blind area. Specifically, the shoelace theorem is selected to measure the blind area, and t is the time variable. Combining the blind area recovery time in the historical channel transmission record, the dynamic change characteristics of the signal coverage blind area in each frequency band are extracted. The dynamic change characteristics not only cover the change of the blind area but also involve the speed and stability of signal recovery. Among them, the dynamic change characteristics are mainly divided into two categories: repetitive characteristics and sudden characteristics. The repetitive characteristics are used to describe the regular appearance of the signal coverage blind area over time, that is, within certain specific time periods, the blind area will regularly appear and disappear, which helps to predict and prevent periodic signal interruption problems. The sudden characteristics are used to describe the non-periodic law of the sudden appearance of the signal coverage blind area, that is, the appearance of the blind area has no obvious pattern and is often caused by sudden events or accidents, which is of great significance for emergency response and rapid communication recovery.

[0076] Secondly, based on the change rate of the blind area and the blind area recovery time in the historical channel transmission record, the steps for extracting the dynamic change characteristics of the signal coverage blind area in each frequency band include:

[0077] Extract the main frequency component in the historical blind area recovery time series;

[0078] Compare the current change rate of the blind area with the main frequency component in the historical blind area recovery time series;

[0079] If the current change rate of the blind area matches the main frequency component, it is determined that the current blind area change has repetitive characteristics, and the period corresponding to the repetitive characteristics is extracted as the prediction period for the periodic appearance of the signal coverage blind area;

[0080] If the current change rate of the blind area does not match the main frequency component and exceeds the preset threshold range, it is determined that the current blind area change has sudden characteristics, and the occurrence time corresponding to the sudden characteristics is used as the prediction time for the non-periodic appearance of the signal coverage blind area;

[0081] Among them, when both repetitive characteristics and sudden characteristics exist in the same period, measure the interference intensity of the sudden characteristics on the periodic characteristics, and when the interference intensity exceeds the preset interference threshold, take the sudden characteristics as the dominant factor, otherwise, take the repetitive characteristics as the dominant factor;

[0082] As mentioned above, when extracting the dynamic change characteristics of the signal coverage blind area in each frequency band, first extract the main frequency component, that is, the main frequency component, from the historical blind area recovery time series, aiming to identify the dominant periodic characteristics shown in the blind area recovery process, and then compare and analyze the current change rate of the blind area with the main frequency component in the extracted historical blind area recovery time series ( where ρ represents the similarity score between the current blind area change rate and the main frequency component in the extracted historical blind area recovery time series, sin(2πω max t) represents the sine wave generated based on the historical main frequency component, μ v represents the mean value of v(t), μ sin represents the mean value of the sine wave, N represents the time series length, σ v represents the variance of v(t), σ sin represents the variance of the sine wave. When the similarity score is greater than the preset similarity threshold, it is determined to be a match), to judge whether there is consistency or similarity between the two. If the current blind area change rate matches the main frequency component, that is, shows a similar periodic change trend, it can be determined that the change of the current blind area has a repetitive characteristic, and further extract the period corresponding to this repetitive characteristic, and use it as the prediction period for the periodic occurrence of the signal coverage blind area, so as to facilitate subsequent prediction and regulation. On the contrary, if the current blind area change rate does not match the main frequency component, and the degree of difference exceeds the preset threshold range, it can be determined that the change of the current blind area has a sudden characteristic. At this time, based on the occurrence time corresponding to the sudden characteristic, it is used as the prediction time for the non-periodic occurrence of the signal coverage blind area, so as to respond to emergencies in time. In addition, within the same period, if there are both repetitive characteristics and sudden characteristics at the same time, it is necessary to further calculate the interference intensity of the sudden characteristic on the periodic characteristic (the ratio of the amplitude of the sudden characteristic to the amplitude of the periodic characteristic). By comparing the interference intensity with the preset interference threshold, it is judged which characteristic dominates. When the interference intensity exceeds the preset interference threshold, the sudden characteristic is considered and processed as the dominant factor. Otherwise, the repetitive characteristic is still considered as the dominant factor to ensure the accuracy and effectiveness of prediction and regulation.

[0083] Thirdly, the steps of predicting the optimal communication window period in the future time period and the corresponding frequency band stability parameter according to the dynamic change characteristics of the signal coverage blind area include:

[0084] Perform time series decomposition on the prediction period corresponding to the repetitive characteristic, extract the minimum coverage period of the periodic blind area, and combine the corresponding stable communication periods in the historical channel transmission records to generate a candidate set of periodic communication window periods;

[0085] Collect the prediction time corresponding to the sudden characteristic, calculate the duration of the sudden blind area through a sliding time window, and the attenuation coefficient of the interference intensity with the adjacent frequency band, and multiply the attenuation coefficient by the duration of the sudden blind area to obtain the influence degree index of the sudden blind area;

[0086] The communication periods with the sudden blind area influence degree index lower than the preset influence threshold are used as aperiodic communication window periods, and are summarized into a candidate set of sudden communication window periods;

[0087] Merge the communication periods in the periodic communication window period set and the sudden communication window period set, and eliminate the overlapping parts to obtain a candidate window period set within the future period;

[0088] Collect the bit error rate, signal-to-noise ratio, and interference intensity change rate corresponding to each candidate window period in the candidate window period set;

[0089] Assign dynamic weights to the bit error rate, signal-to-noise ratio, and interference intensity change rate, and input them into the stability evaluation function to calculate the frequency band stability parameter of each candidate window period;

[0090] Sort the candidate window periods according to the frequency band stability parameter, and select the candidate window period with the highest frequency band stability parameter as the preferred communication window period;

[0091] In this embodiment, when predicting the preferred communication window, for the prediction period corresponding to the repetitive feature, perform a systematic time series decomposition operation to extract the minimum coverage period of the periodic blind area. On this basis, combine the stable communication period data corresponding in the historical channel transmission record to comprehensively generate a candidate set of periodic communication window periods, providing basic data support for subsequent analysis. For the prediction moment corresponding to the sudden feature, preset a sliding time window according to actual needs to calculate the duration of the sudden blind area (that is, the total duration of the appearance of the blind area within the sliding time window), and further analyze its attenuation coefficient with the interference intensity of the adjacent frequency band (κ = e -λΔt, where κ represents the attenuation coefficient, λ represents the interference attenuation rate, and Δt represents the time delay difference between the burst blind spot duration and the interference peak value of the adjacent frequency band). Multiply the attenuation coefficient by the burst blind spot duration to obtain a quantization index (burst blind spot impact degree index) of the burst blind spot impact degree. Then, identify the communication periods with the burst blind spot impact degree index lower than the preset impact threshold as non-periodic communication window periods, and summarize them into a candidate set of burst communication window periods for comprehensive comparison and analysis with the periodic communication window periods. Then, organically merge each communication period in the periodic communication window period set and the burst communication window period set, and at the same time remove the overlapping parts to finally obtain a candidate window period set for the future period, ensuring the integrity and accuracy of the data. On this basis, the bit error rate, signal-to-noise ratio, and interference intensity change rate corresponding to each candidate window period in the candidate window period set will be further collected to provide a basis for subsequent stability evaluation. Then, dynamic weights will be assigned to the bit error rate, signal-to-noise ratio, and interference intensity change rate according to the actual situation and combined with the stability evaluation function to calculate the frequency band stability parameter of each candidate window period. Among them, the expression of the stability evaluation function is:

[0092]

[0093] In the formula, S f represents the stability parameter, BER f represents the bit error rate, SNR f represents the signal-to-noise ratio, ΔI f represents the interference intensity change rate, and a1, a2, and a3 respectively represent the weight coefficients of the bit error rate, signal-to-noise ratio, and interference intensity change rate. Finally, based on the calculated frequency band stability parameter, sort the candidate window periods, and select the candidate window period with the highest frequency band stability parameter as the final preferred communication window period to ensure the stable operation of the communication system.

[0094] S3. Based on the preferred communication window period, dynamically allocate spectrum resources within a preset micro-interval period, and synchronously adjust the emission angles of the high-frequency band signal and the low-frequency band signal to construct a cross-frequency band redundant transmission link;

[0095] In the step S3, after the preferred communication window period is determined, based on the predicted preferred communication window period, dynamically allocate spectrum resources within a preset micro-interval period, and synchronously adjust the emission angles of the high-frequency band signal and the low-frequency band signal, thereby constructing a cross-frequency band redundant transmission link. Among them, the step of dynamically allocating spectrum resources within a preset micro-interval period based on the preferred communication window period includes:

[0096] Divide the priority communication window period into multiple consecutive micro-interval periods, and calculate the priority index of the currently available frequency band;

[0097] At the start of each micro - interval period, determine the spectral resource allocation ratio for each frequency band according to the priority index. Among them, the high - frequency band is configured with a burst data transmission period, and the low - frequency band is configured with a continuous communication period, and the burst data transmission period and the continuous communication period are alternately arranged within the micro - period;

[0098] Real - time collect the throughput under the high - frequency band and the low - frequency band, calculate the ratio between the throughput under the high - frequency band and the low - frequency band, and record it as the regulation condition parameter;

[0099] Compare the regulation condition parameter with the preset regulation threshold. When the regulation condition parameter exceeds the regulation threshold, re - execute the spectral resource allocation. Otherwise, maintain the current spectral resource allocation ratio until the end of the preferred communication window period;

[0100] Specifically, when allocating spectral resources, first divide the preferred communication window period into several consecutive and equal - length micro - interval periods, and comprehensively evaluate each currently available frequency band, calculate the priority index of each frequency band (priority index = frequency band quality score × frequency band historical usage efficiency+frequency band available bandwidth × frequency band anti - interference ability). At the start of each micro - interval period, determine the spectral resource allocation ratio of each frequency band in the current period according to the priority index ( In the formula, R k represents the time - frequency resource amount allocated to the k - th frequency band, P k represents the priority index, T micro represents the duration of the micro - interval period, and n represents the total number of currently available frequency bands). Specifically, for the high - frequency band, a period for burst data transmission is also configured to meet the transmission requirements of instantaneous high data volume, while for the low - frequency band, a period for continuous communication is configured to ensure the stability and continuity of communication. It should be noted that the burst data transmission period and the continuous communication period are alternately arranged in a certain order within each micro - interval period to maximize the utilization efficiency of spectral resources. During the spectral resource allocation process, real - time collect and monitor the actual throughput data under the high - frequency band and the low - frequency band, obtain the ratio between the high - frequency band and the low - frequency band throughput, and record it as the regulation condition parameter as the basis for subsequent adjustment of spectral resource allocation. Subsequently, compare the recorded regulation condition parameter with the pre - set regulation threshold. If the regulation condition parameter exceeds the regulation threshold, it indicates that the current spectral resource allocation is no longer optimal, and the spectral resource allocation steps need to be immediately re - executed to optimize resource allocation. Otherwise, if the regulation condition parameter does not exceed the regulation threshold, maintain the current spectral resource allocation ratio unchanged and continue to observe until the end of the preferred communication window period.

[0101] In addition, the steps of adjusting the emission angles of the high - frequency band signal and the low - frequency band signal and constructing a cross - band redundant transmission link include:

[0102] Obtain the real-time relative azimuth angle between the high-frequency band signal and the obstacle, and when the real-time relative azimuth angle is lower than the critical angle threshold, adjust the generation angle of the high-frequency band signal so that the real-time relative azimuth angle between the high-frequency band signal and the obstacle is greater than the critical angle threshold;

[0103] The low-frequency band signal uses a multi-antenna array to enhance the signal transmission intensity, and forms a directional beam by adjusting the phase and amplitude of each antenna element to bypass the obstacle;

[0104] When the angle adjustment amplitude of the high-frequency band exceeds the preset adjustment amplitude threshold, trigger the compensation adjustment of the low-frequency band azimuth angle, and the compensation adjustment amplitude is proportional to the high-frequency band angle adjustment amplitude;

[0105] During the dual-band transmission process, check the data consistency within consecutive micro-interval periods, and when the data consistency within consecutive micro-interval periods reaches the preset consistency threshold, determine that the redundant link establishment is completed; otherwise, trigger the cross-band data verification mechanism and use the backup data in the redundant transmission link for data recovery;

[0106] Specifically, when constructing a cross-band redundant transmission link, first obtain the real-time relative azimuth angle information between the high-frequency band signal and the obstacle, and when it is monitored that the real-time relative azimuth angle is lower than the pre-set critical angle threshold, immediately and precisely adjust the generation angle of the high-frequency band signal to ensure that the real-time relative azimuth angle between the high-frequency band signal and the obstacle can be greater than the critical angle threshold (generally taking 45°), so as to effectively avoid the signal being blocked or attenuated by the obstacle. For the low-frequency band signal, adopt the multi-antenna array technology to significantly enhance the signal transmission intensity, and form a highly directional directional beam by adjusting the phase and amplitude parameters of each antenna element, so that the low-frequency band signal can bypass the obstacle and achieve stable transmission. When the angle adjustment amplitude of the high-frequency band signal exceeds the preset adjustment amplitude threshold, the compensation adjustment mechanism of the low-frequency band azimuth angle will be automatically triggered, and the compensation adjustment amplitude will be proportional to the high-frequency band angle adjustment amplitude to ensure good coordination and consistency of the dual-band signals during the transmission process. During the dual-band transmission process, the data within consecutive micro-interval periods will be checked for consistency. When the data consistency within consecutive micro-interval periods (the number of consecutive micro-interval periods generally takes 3 - 5) reaches the preset consistency threshold, it will be determined that the redundant link has been successfully established; otherwise, if the data consistency does not reach the preset threshold, the cross-band data verification mechanism will be immediately triggered, and the backup data in the redundant transmission link will be used for data recovery to ensure the reliability and integrity of the transmission.

[0107] S4. Use distributed nodes to mutually authenticate the identities of the communication parties. After successful authentication, start a cross-band redundant transmission link within the preferred communication window period to complete the rapid link establishment for beyond-line-of-sight wireless communication;

[0108] In step S4, use distributed nodes to mutually authenticate the identities of the communication parties. Only after successful authentication will the cross-band redundant transmission link be officially started within the preferred communication window period, and finally the rapid link establishment process for beyond-line-of-sight wireless communication will be completed. Among them, the steps of using distributed nodes to mutually authenticate the identities of the communication parties and starting the cross-band redundant transmission link within the preferred communication window period after successful authentication include:

[0109] Deploy distributed identity authentication nodes through the blockchain network;

[0110] When an authentication request is initiated, the authentication node generates a verification vector containing a timestamp, location fingerprint, and channel characteristics;

[0111] The communicating party sends the verification vector to the other communicating party. After receiving the verification vector, the other communicating party uses the locally deployed authentication node to verify the verification vector;

[0112] If the verification passes, the identities of both communicating parties are mutually authenticated successfully, enter the preferred communication window period, and start the establishment process of the cross-band redundant transmission link. Otherwise, enter the identity re-authentication process, regenerate the verification vector for verification until the identities of both communicating parties are mutually authenticated successfully.

[0113] Specifically, first deploy multiple distributed identity authentication nodes through blockchain network technology to ensure the decentralization and high reliability of the authentication process. When an authentication request is initiated, the authentication node will generate a verification vector containing a timestamp, location fingerprint, and verification vector based on channel characteristics to ensure the comprehensiveness and uniqueness of the verification information. Then the communicating party sends the generated verification vector to the other communicating party. After receiving the verification vector, the other communicating party uses the locally deployed authentication node to verify the received verification vector. If the verification result shows passing, the identities of both communicating parties are mutually authenticated successfully, and then enter the preferred communication window period and start the establishment process of the cross-band redundant transmission link to ensure the efficiency and stability of communication. Otherwise, if the verification fails, both parties need to enter the identity re-authentication process, regenerate the verification vector and perform a new round of verification until the identities of both communicating parties are mutually authenticated successfully to ensure the security of the communication process.

[0114] Please refer to Figure 2 , a beyond-line-of-sight wireless communication intelligent rapid link establishment system that uses the above-mentioned beyond-line-of-sight wireless communication intelligent rapid link establishment method, including:

[0115] A data acquisition module, configured to acquire environmental parameters in a communication environment, where the environmental parameters include electromagnetic interference intensity, obstacle positions, and channel quality parameters, and synchronously obtain historical channel transmission records;

[0116] A window period prediction module, configured to perform time series correlation analysis on the environmental parameters and historical channel transmission records, extract the dynamic change characteristics of signal coverage blind areas, and based on the dynamic change characteristics of signal coverage blind areas, predict the optimal communication window period and the corresponding frequency band stability parameters within a future time period;

[0117] A link construction module, configured to dynamically allocate spectrum resources within a preset micro-interval period based on the optimal communication window period, and synchronously adjust the emission angles of high-frequency signals and low-frequency signals to construct a cross-frequency band redundant transmission link;

[0118] An identity authentication module, configured to use distributed nodes to mutually authenticate the identities of communication parties, and after successful authentication, start the cross-frequency band redundant transmission link within the optimal communication window period to complete the rapid link establishment of beyond-line-of-sight wireless communication.

[0119] Among the above, the main function of the data acquisition module is to comprehensively acquire various environmental parameters in the communication environment. The environmental parameters cover multiple aspects such as electromagnetic interference intensity, specific obstacle positions, and channel quality parameters. At the same time, it will also synchronously obtain and record the relevant data of historical channel transmission for subsequent analysis. The window period prediction module conducts in-depth time series correlation analysis on the acquired environmental parameters and historical channel transmission records, extracts the dynamic change characteristics of signal coverage blind areas, and based on the dynamic change characteristics, predicts the most optimal communication window period within a future time period and the frequency band stability parameters corresponding to the optimal window period, providing a reliable basis for subsequent link construction. The link construction module flexibly and dynamically allocates spectrum resources within a preset micro-interval period according to the predicted optimal communication window period, and synchronously adjusts the emission angles of high-frequency signals and low-frequency signals to construct a cross-frequency band redundant transmission link to ensure the stability and reliability of communication. The identity authentication module uses distributed nodes to mutually authenticate the identities of communication parties. Only when the authentication is successful, will it officially start the cross-frequency band redundant transmission link within the optimal communication window period, thus successfully completing the rapid link establishment process of beyond-line-of-sight wireless communication and ensuring the security and efficiency of communication.

[0120] Please refer to Figure 3 for an electronic device, which includes:

[0121] At least one processor;

[0122] And a memory communicatively connected to the at least one processor;

[0123] Among them, the memory stores a computer program executable by at least one processor. The computer program is executed by at least one processor so that the at least one processor can execute the above method for intelligent and rapid establishment of beyond-line-of-sight wireless communication links.

[0124] The processor of the above electronic device can be a central processing unit (CPU), a graphics processing unit (GPU), or a digital signal processor (DSP), etc. The memory can include a high-speed random access memory (RAM), and can also include a non-volatile memory (NVM), such as at least one disk memory. In some embodiments, the electronic device can also include a communication interface, which is used for the electronic device to communicate with other devices or communication networks (such as the Internet). Of course, the electronic device can also include other modules or components, such as an arithmetic unit, an input device, and an output device, etc. The arithmetic unit can be an arithmetic logic unit (ALU), which is used to perform various arithmetic and logical operations. The input device can provide an interface for the user to input data, such as a keyboard, a mouse, or a touch screen, etc. The output device can display or output the processing result, such as a display or a printer, etc.

[0125] It should be noted that in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, device, article or method. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, device, article or method including that element.

[0126] The above are only the preferred embodiments of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention. The structures, devices, and operation methods not specifically described and explained in the present invention, unless otherwise specified and limited, are implemented according to the conventional means in the art.

Claims

1. A method for intelligent and rapid link establishment in over-the-horizon wireless communication, characterized in that: Including: Collecting environmental parameters in the communication environment, where the environmental parameters include electromagnetic interference intensity, obstacle positions, and channel quality parameters, and synchronously obtaining historical channel transmission records; Performing time-series correlation analysis on the environmental parameters and historical channel transmission records, extracting the dynamic change characteristics of signal coverage blind areas, and based on the dynamic change characteristics of signal coverage blind areas, predicting the optimal communication window period in the future time period and the corresponding frequency band stability parameters; Based on the optimal communication window period, dynamically allocating spectrum resources within a preset micro-interval period, and synchronously adjusting the emission angles of high-frequency band signals and low-frequency band signals to construct a cross-frequency band redundant transmission link; Using distributed nodes to mutually recognize and verify the identities of communication parties, and after the verification is passed, starting the cross-frequency band redundant transmission link within the optimal communication window period to complete the rapid link establishment of beyond-line-of-sight wireless communication.

2. The method for intelligent and rapid link establishment of over-the-horizon wireless communication according to claim 1, characterized in that: When collecting the environmental parameters in the communication environment, through the networking scanning of spectrally monitored nodes deployed in a distributed manner, the three-dimensional spatial distribution data of electromagnetic interference intensity in each frequency band is obtained in real time, the positions and movement trajectories of obstacles are monitored through a millimeter-wave radar array, and the channel quality parameters are obtained through the analysis of channel sounding signals and pilot sequences; Establishing an environmental parameter database, and performing spatio-temporal alignment on the electromagnetic interference intensity, obstacle positions, and channel quality parameters with the historical channel transmission records.

3. A method for intelligent and rapid link establishment in over-the-horizon wireless communication according to claim 1, characterized in that: The step of performing time-series correlation analysis on the environmental parameters and historical channel transmission records and extracting the dynamic change characteristics of signal coverage blind areas includes: Drawing a dynamic diagram of obstacle distribution according to the movement trajectories of obstacles, generating a channel parameter change curve in the time dimension, and constructing a spatio-temporal map reflecting the movement law of blind areas through data cross-comparison; Calculating the change rate of the blind area area with time based on the spatio-temporal map; Based on the change rate of the blind area area and the blind area recovery time in the historical channel transmission records, extracting the dynamic change characteristics of signal coverage blind areas in each frequency band; Among them, the dynamic change characteristics include repetitive characteristics and sudden characteristics. The repetitive characteristics are used to describe the law of periodic appearance of signal coverage blind areas with time, and the sudden characteristics are used to describe the non-periodic law of sudden appearance of signal coverage blind areas.

4. A method for intelligent and rapid link establishment in over-the-horizon wireless communication according to claim 3, characterized in that: The step of extracting the dynamic change characteristics of signal coverage blind areas in each frequency band based on the change rate of the blind area area and the blind area recovery time in the historical channel transmission records includes: Extracting the main frequency components in the historical blind area recovery time series; Comparing the current change rate of the blind area area with the main frequency components in the historical blind area recovery time series; If the current change rate of the blind area area matches the main frequency components, it is determined that the current blind area change has repetitive characteristics, and the period corresponding to the repetitive characteristics is extracted as the prediction period for the periodic appearance of signal coverage blind areas; If the current change rate of the blind area area does not match the main frequency components and exceeds the preset threshold range, it is determined that the current blind area change has sudden characteristics, and the occurrence moment corresponding to the sudden characteristics is used as the prediction moment for the non-periodic appearance of signal coverage blind areas; When there are both repetitive features and sudden features in the same period, measure the interference intensity of the sudden features on the periodic features. When the interference intensity exceeds the preset interference threshold, take the sudden features as the dominant factor; otherwise, take the repetitive features as the dominant factor.

5. A method for intelligent and rapid link establishment in over-the-horizon wireless communication according to claim 3, characterized in that: The steps of predicting the optimal communication window period and the corresponding frequency band stability parameters in the future period based on the dynamic change characteristics of the signal coverage blind area include: Perform time series decomposition on the prediction period corresponding to the repetitive features, extract the minimum coverage period of the periodic blind area, and generate a candidate set of periodic communication window periods in combination with the corresponding stable communication periods in the historical channel transmission records; Collect the prediction moments corresponding to the sudden features, calculate the duration of the sudden blind area and the attenuation coefficient of the interference intensity with the adjacent frequency bands through a sliding time window, and multiply the attenuation coefficient by the duration of the sudden blind area to obtain the influence degree index of the sudden blind area; Take the communication periods with the influence degree index of the sudden blind area lower than the preset influence threshold as the aperiodic communication window periods, and summarize them into a candidate set of sudden communication window periods; Merge the communication periods in the periodic communication window period set and the sudden communication window period set, and eliminate the overlapping parts to obtain a candidate window period set in the future period; Collect the bit error rate, signal-to-noise ratio, and interference intensity change rate corresponding to each candidate window period in the candidate window period set; Assign dynamic weights to the bit error rate, signal-to-noise ratio, and interference intensity change rate, and input them into the stability evaluation function to calculate the frequency band stability parameters of each candidate window period; Sort the candidate window periods according to the frequency band stability parameters, and select the candidate window period with the highest frequency band stability parameter as the optimal communication window period.

6. The method for intelligent and rapid link establishment of over-the-horizon wireless communication according to claim 1, characterized in that: The steps of dynamically allocating spectrum resources within a preset micro-interval period based on the optimal communication window period include: Divide the priority communication window period into multiple consecutive micro-interval periods, and calculate the priority index of the currently available frequency bands; At the start moment of each micro-interval period, determine the spectrum resource allocation ratio of each frequency band according to the priority index. Among them, allocate the burst data transmission period to the high-frequency band, allocate the continuous communication period to the low-frequency band, and the burst data transmission period and the continuous communication period are arranged alternately within the micro-period; Collect the throughput of the high-frequency band and the low-frequency band in real time, calculate the ratio between the throughput of the high-frequency band and the low-frequency band, and record it as the regulation condition parameter; Compare the regulation condition parameter with the preset regulation threshold. When the regulation condition parameter exceeds the regulation threshold, re-perform the spectrum resource allocation; otherwise, maintain the current spectrum resource allocation ratio until the optimal communication window period ends.

7. A method for intelligent and rapid link establishment of over-the-horizon wireless communication according to claim 1, characterized in that: The steps of adjusting the emission angles of the high-frequency band signal and the low-frequency band signal to construct a cross-frequency band redundant transmission link include: Obtain the real-time relative azimuth angle between the high-frequency band signal and the obstacle, and when the real-time relative azimuth angle is lower than the critical angle threshold, adjust the emission angle of the high-frequency band signal so that the real-time relative azimuth angle between the high-frequency band signal and the obstacle is greater than the critical angle threshold; For the low-frequency band signal, a multi-antenna array is used to enhance the signal transmission intensity, and by adjusting the phase and amplitude of each antenna element, a directional beam is formed to bypass obstacles; When the angle adjustment amplitude in the high-frequency band exceeds the preset adjustment amplitude threshold, it triggers the compensation adjustment of the azimuth angle in the low-frequency band, and the compensation adjustment amplitude is proportional to the angle adjustment amplitude in the high-frequency band; During the dual-band transmission process, the data consistency within consecutive micro-interval periods is checked, and when the data consistency within consecutive micro-interval periods reaches the preset consistency threshold, it is determined that the redundant link establishment is completed. Otherwise, it triggers the cross-band data verification mechanism and uses the backup data in the redundant transmission link for data recovery.

8. A method for intelligent and rapid link establishment of over-the-horizon wireless communication according to claim 1, characterized in that: The step of using distributed nodes to mutually recognize and verify the identities of communication parties and, after successful verification, initiating the cross-band redundant transmission link within the preferred communication window period includes: Deploying distributed identity authentication nodes through the blockchain network; When an authentication request is initiated, the authentication node generates a verification vector containing a timestamp, location fingerprint, and channel characteristics; The communication party sends the verification vector to the other communication party. After the other communication party receives the verification vector, it uses the locally deployed authentication node to verify the verification vector; If the verification passes, the identities of both communication parties are mutually recognized successfully, entering the preferred communication window period, and initiating the establishment process of the cross-band redundant transmission link. Otherwise, it enters the identity re-authentication process and regenerates the verification vector for verification until the identities of both communication parties are mutually recognized successfully.

9. An over-the-horizon wireless communication intelligent and rapid link establishment system, characterized in that: Using the method for intelligent and rapid link establishment of over-the-horizon wireless communication according to any one of claims 1 to 8, including: A data acquisition module for collecting environmental parameters in the communication environment, where the environmental parameters include electromagnetic interference intensity, obstacle position, and channel quality parameters, and synchronously obtaining historical channel transmission records; A window period prediction module for performing time series correlation analysis on the environmental parameters and historical channel transmission records, extracting the dynamic change characteristics of the signal coverage blind area, and based on the dynamic change characteristics of the signal coverage blind area, predicting the preferred communication window period and the corresponding frequency band stability parameters in the future period; A link construction module for dynamically allocating spectrum resources within a preset micro-interval period based on the preferred communication window period, and synchronously adjusting the occurrence angles of the high-frequency band signal and the low-frequency band signal to construct a cross-band redundant transmission link; An identity verification module for using distributed nodes to mutually recognize and verify the identities of communication parties and, after successful verification, initiating the cross-band redundant transmission link within the preferred communication window period to complete the rapid link establishment of over-the-horizon wireless communication.

10. An electronic device, characterized in that: The electronic device includes: At least one processor; And a memory communicatively connected to the at least one processor; Wherein, the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for intelligent and rapid link establishment of over-the-horizon wireless communication according to any one of claims 1 to 8.

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