Decision result generation method and device and related equipment

Abstract

The invention provides a decision result generation method and device and related equipment, and relates to the technical field of communication, and the method comprises the steps: a shared digital body system receives diffraction waves sent by each base station in at least two base stations, and carries out the isolation processing of the diffraction waves; the isolation processing is used for reducing the influence of weak phase waves, and the weak phase waves are waves generated when the diffracted waves are transmitted back; the shared digital body system is used for optimizing decisions in the native digital body systems corresponding to the base stations; the diffracted waves are used for determining the environment where the base station is located; and the shared digital body system determines a decision result for each base station based on the diffracted waves after isolation processing, and the decision result comprises a diffracted wave form sent by each base station and a signal coverage range controlled by a native digital body system corresponding to each base station.

Description

Technical Field

[0001] This application relates to the field of communication technology, and in particular to a method, apparatus and related equipment for generating decision results. Background Technology

[0002] Currently, basic communication infrastructure (such as base stations) has largely completed the construction and deployment of hardware equipment. However, the software and communication technologies deployed on this infrastructure are still not mature enough. For example, many base stations' native digital systems cannot effectively manage and control the base stations according to their environmental conditions, requiring manual, regular management and control, which is cumbersome and inefficient. Summary of the Invention

[0003] This application provides a method, apparatus, and related equipment for generating decision results. By sharing the decision results generated by the digital body system, the management and control of base stations can be automated, reducing labor costs.

[0004] In a first aspect, embodiments of this application provide a method for generating decision results, applied to a shared digital entity system, the method comprising:

[0005] The shared digital body system receives diffracted waves transmitted by each of at least two base stations and isolates the diffracted waves; the isolation process is used to reduce the influence of weak phase waves, which are waves generated when the diffracted waves are propagated back; the shared digital body system is used to optimize the decisions in the native digital body systems corresponding to each base station; the diffracted waves are used to determine the environment in which the base station is located.

[0006] The shared digital body system determines the decision results for each base station based on the isolated diffracted waves. The decision results include: the form of the diffracted waves sent by each base station and the signal coverage range controlled by the native digital body system corresponding to each base station.

[0007] Optionally, the method further includes:

[0008] Based on the distribution of wireless communication devices around each base station and the environment around each base station, the predicted signal range area corresponding to each base station is determined, wherein the error between the predicted signal range area corresponding to each base station and the actual signal range area corresponding to each base station is less than a preset error threshold.

[0009] Based on the predicted signal range area corresponding to each base station, determine the area intersection point between each base station;

[0010] The location of the shared digital body system is determined based on the area intersection point.

[0011] Optionally, the wireless communication device includes: an antenna and other base stations; determining the predicted signal range area corresponding to each base station based on the distribution of wireless communication devices around each base station and the environment around each base station includes:

[0012] The propagation area power of the target base station is determined by a first formula; the target base station is one of the at least two base stations.

[0013] Using the second formula and the propagation area power, the corrected signal coverage radius of the target base station is determined;

[0014] Using the third formula and the corrected signal coverage radius, the predicted signal range area of ​​the target base station is determined;

[0015] The first formula is: ;

[0016] Characterizing the propagation area power, Characterizes the base transmission power of the target base station. The intensity of the increase in the effect of antenna rotation on the target base station in the first preset area is characterized. This represents the effective average distance to other base stations within the second preset area.

[0017] The second formula is: ;

[0018] Characterizing the corrected signal coverage radius, This refers to the path loss index in the actual environment surrounding the target base station. The measured power that characterizes the area of ​​propagated irradiation. Characterizes the preset distance;

[0019] The third formula is: Sr= Sr represents the area of ​​the predicted signal range.

[0020] Optionally, the shared digital body system receives diffracted waves transmitted by each of at least two base stations and isolates the diffracted waves, including:

[0021] After receiving the diffracted waves sent by each base station, the shared digital body system generates a rectangular waveguide according to the waveguide characteristics of electromagnetic waves;

[0022] The constrained cutoff beam is determined based on the rectangular waveguide;

[0023] The diffracted wave is isolated by the constrained cutoff beam.

[0024] Optionally, determining the constrained cutoff beam based on the rectangular waveguide includes:

[0025] The constrained cutoff beam is determined using the sixth formula;

[0026] The sixth formula is: Where m and n are integer index values ​​of the rectangular waveguide. and It is the transverse index of the rectangular waveguide.

[0027] Optionally, the shared digital body system determines the decision results for each base station based on the isolated diffracted waves, including:

[0028] The decision results for each base station are obtained by optimizing the function;

[0029] The optimization function is: ;

[0030] Wherein, LA and LB are the energy consumption of the native digital body system corresponding to two of the at least two base stations during the signal coverage process; λ is the duty loss of the wave; RA and RB are the maximum irradiance range of the signal corresponding to the two base stations; and Rtotal is the total capacity reserve after removing distortion and interference signals. The isolated diffracted wave; This is the signal wave energy conversion coefficient.

[0031] Optionally, the method further includes:

[0032] Low-diffraction interference waves are sent to the ground radar to reduce the impact of the ground radar on the shared digital body system.

[0033] Optionally, transmitting low-diffraction interference waves to the ground radar includes:

[0034] Determine the phase difference of the ring radiation of the antenna array elements;

[0035] Based on the phase difference and the number of antenna array elements, a modulated wave is generated to interfere with the ground radar;

[0036] The low-diffraction interference wave is determined based on the modulated wave and the parameters of the ground radar.

[0037] Optionally, the method further includes:

[0038] The phase difference is determined using the seventh formula;

[0039] The seventh formula is: ;in, The phase difference, This represents the fluctuation value resulting from the superposition of the peaks and troughs of the interference wave and the radar wave. θ is the element spacing, and θ is the directional angle between the main lobe beam and the antenna array.

[0040] The modulation wave is determined using the eighth formula;

[0041] The eighth formula is: ;in, Let Re be the modulated wave, Re be the real-valued operation in the modulation process, and n(t) be the complex noise wave in the time domain of the speckle noise. ft represents the carrier signal, j represents the time frequency, and j represents the loss noise.

[0042] The low-diffraction interference wave is determined using the ninth formula;

[0043] The ninth formula is: ;in, This refers to the low-diffraction interference wave; This refers to the signal beamwidth data in the ground radar. The power step size of the ground radar is denoted as .

[0044] Optionally, the method further includes:

[0045] Based on the tenth formula, the gain rate of return corresponding to the decision result is determined. If the gain rate of return is less than the preset gain threshold, the shared digital body system receives diffracted waves sent by each of the base stations in at least two base stations and isolates the diffracted waves until the gain rate of return is greater than or equal to the preset gain threshold.

[0046] The tenth formula is: ;in, The wavelength of the diffracted wave is given. The actual path gain after the combined attenuation factor of path loss and distortion is PA′+PB′, where PA′ is the total signal power of two of the at least two base stations. The gain rate is the aforementioned.

[0047] Secondly, embodiments of this application provide a decision result generation method applied to a base station, the method comprising:

[0048] Construct the excitation phase of the array elements;

[0049] The divergence gain of the diffraction wave intensity is constructed based on the excitation phase;

[0050] Based on the divergence gain and magnetic field fluctuations, the diffracted wave is determined;

[0051] Send diffraction waves to the shared digital body system.

[0052] Optionally, the method further includes:

[0053] The excitation phase is determined using the fourth formula;

[0054] The fourth formula is: ;in, The excitation phase, The wave number is obtained by setting a preset operating frequency and wave velocity. The angle difference between the azimuth angle of the preset array element and the direction of the phase distribution center. The radius of the circle in which the array elements are distributed;

[0055] The divergence gain is determined using the fifth formula;

[0056] The fifth formula is: ;in, Main lobe gain The angle between the centers of the main lobe and the side lobes σ is the main lobe divergence angle, σ is the control beamwidth constraint value, and σ is used to characterize the antenna direction and gain as the angle changes.

[0057] Optionally, the method further includes:

[0058] The base station receives the flattened wave, which is the flattened wave of the low diffraction interference wave scattered by the shared digital body system and the communication wave of the ground radar; the low diffraction interference wave is provided with a chaotic parameter; the chaotic parameter is used to prevent the communication wave and the low diffraction interference wave from being completely flattened.

[0059] The native digital body system corresponding to the base station optimizes the decision-making process in the native digital body system based on the smoothed wave.

[0060] Thirdly, embodiments of this application provide a decision result generation apparatus, the apparatus comprising:

[0061] A receiving module is used to receive diffracted waves transmitted by each of at least two base stations and to isolate the diffracted waves; the isolation process is used to reduce the influence of weak phase waves, which are waves generated when the diffracted waves are transmitted back; the shared digital body system is used to optimize the decisions in the native digital body systems corresponding to each base station; the diffracted waves are used to determine the environment in which the base station is located.

[0062] The first determining module is used to determine the decision result for each base station based on the isolated diffracted wave. The decision result includes: the form of the diffracted wave sent by each base station and the signal coverage range controlled by the native digital body system corresponding to each base station.

[0063] Fourthly, embodiments of this application provide a decision result generation apparatus, the apparatus comprising:

[0064] The first building module is used to build the excitation phase of the array elements;

[0065] The second construction module is used to construct the divergence gain of the diffraction wave intensity based on the excitation phase;

[0066] The first determining module is used to determine the diffracted wave based on the divergence gain and magnetic field fluctuation;

[0067] The transmitting module is used to send diffracted waves to the shared digital body system.

[0068] Fifthly, embodiments of this application provide an electronic device, including: a processor, a memory, and a program stored in the memory and executable on the processor, wherein when the program is executed by the processor, it implements the steps of the decision result generation method as described in the first aspect and the steps of the decision result generation method as described in the second aspect.

[0069] In a sixth aspect, embodiments of this application provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the decision result generation method as described in the first aspect and the steps of the decision result generation method as described in the second aspect.

[0070] In a seventh aspect, embodiments of this application provide a computer program product, including computer instructions that, when executed by a processor, implement the steps of the decision result generation method as described in the first aspect and the steps of the decision result generation method as described in the second aspect.

[0071] In this embodiment, the shared digital body system receives diffracted waves from at least two base stations to determine the environment of each base station, and isolates these diffracted waves. Based on the isolated diffracted waves, the shared digital body system then determines a decision for each base station. The decision includes the form of the diffracted waves transmitted by each base station and the signal coverage area controlled by the native digital body system corresponding to each base station. It is understood that the decision generated by the shared digital body system in this process can automatically manage and control the base stations; that is, the shared digital body system can assist the native digital body system corresponding to each base station in better managing and controlling the base stations according to their environmental conditions, reducing labor costs. Attached Figure Description

[0072] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0073] Figure 1 This is a flowchart of a decision result generation method provided in an embodiment of this application;

[0074] Figure 2 This is a schematic diagram of a diffraction wave provided in an embodiment of this application;

[0075] Figure 3 This is a flowchart of a decision result generation method provided in an embodiment of this application;

[0076] Figure 4 This is a schematic diagram of the structure of a decision result generation device provided in an embodiment of this application;

[0077] Figure 5 This is a schematic diagram of the structure of a decision result generation device provided in an embodiment of this application;

[0078] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0079] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0080] The embodiments of this application will now be described in detail from the perspective of a shared digital body system.

[0081] See Figure 1 , Figure 1 This is a flowchart of a decision result generation method provided in an embodiment of this application, applied to a shared digital body system, such as... Figure 1 As shown, the method includes the following steps:

[0082] Step 101: The shared digital body system receives diffracted waves sent by each of the at least two base stations and isolates the diffracted waves; the isolation process is used to reduce the influence of weak phase waves, which are waves generated when the diffracted waves are propagated back; the shared digital body system is used to optimize the decisions in the native digital body systems corresponding to each base station; the diffracted waves are used to determine the environment in which the base station is located.

[0083] In some embodiments, the shared digital body system is the top-level collaborative decision-making center in the digital twin network architecture. It is a virtual, intelligent, and centralized coordination system responsible for the global optimization and coordination of other base stations. Essentially, the shared digital body system can replace the terrestrial relay software-defined network, making unified decisions and allocating resources to base stations. It can more flexibly replace the relay software-defined network to achieve localized dynamic allocation of spectrum and power resources, thereby achieving intelligent coverage optimization. Diffraction waves are the phenomenon where electromagnetic waves (or any wave) deviate from a straight path and "loop" into the geometric shadow region of an obstacle when they encounter the edge of an obstacle or pass through an aperture during propagation. In the embodiments of this application, the diffraction wave can be a ring-shaped diffraction wave. Weak-phase waves refer to waves whose phase is easily affected by environmental perturbations (such as small deformations, turbulence, and weak obstruction) during propagation, resulting in nonlinear and unpredictable changes.

[0084] In this embodiment, since the shared digital entity system is a virtual mapping of physical entities, it needs to adjust or allocate the capabilities of base stations based on their environmental conditions in order to accurately control their coverage information. However, if the base station being controlled were to emit additional peer-to-peer waveforms to provide the shared digital entity system with the necessary information for control, the base station would experience losses; that is, the additional peer-to-peer waveforms emitted by the base station would significantly reduce its basic waveform coverage capability. Therefore, in this process, the base station can send diffracted waves to the shared digital entity system. The shared digital entity system uses its own physical devices to receive the diffracted waves and isolate them.

[0085] Step 102: The shared digital body system determines the decision results for each base station based on the isolated diffracted waves. The decision results include: the form of the diffracted waves sent by each base station and the signal coverage range controlled by the native digital body system corresponding to each base station.

[0086] In this embodiment, the shared digital body system obtains the diffracted wave after isolation processing, that is, the shared digital body system cleans the diffracted wave. The shared digital body system can use the isolated diffracted wave as a constraint reference condition in the decision-making process to assist the shared digital body system in making subsequent decisions and obtaining decision results.

[0087] As shown in steps 101-102, the shared digital body system receives diffracted waves from at least two base stations to determine the environment of each base station, and isolates these diffracted waves. Based on the isolated diffracted waves, the shared digital body system then determines a decision for each base station. This decision includes the form of the diffracted waves transmitted by each base station and the signal coverage area controlled by the native digital body system corresponding to each base station. Understandably, the decision generated by the shared digital body system in this process can automatically manage and control the base stations. That is, the shared digital body system can assist the native digital body system corresponding to each base station in better managing and controlling the base stations according to their environmental conditions, reducing labor costs.

[0088] In some embodiments, the method further includes:

[0089] Based on the distribution of wireless communication devices around each base station and the environment around each base station, the predicted signal range area corresponding to each base station is determined, wherein the error between the predicted signal range area corresponding to each base station and the actual signal range area corresponding to each base station is less than a preset error threshold.

[0090] Based on the predicted signal range area corresponding to each base station, determine the area intersection point between each base station;

[0091] The location of the shared digital body system is determined based on the area intersection point.

[0092] In this embodiment, before the shared digital body system receives diffracted waves transmitted by each of the at least two base stations, the location of the shared digital body system must be determined. Optionally, the shared digital body system can acquire information about the distribution of base stations, which allows it to determine information such as the distance between base stations. Based on the base station distribution, the shared digital body system calculates the clean area (or predicted signal range area) covered by the current radiation intensity of the base station. The clean area refers to the clean, near-error-free area determined by the shared digital body system after considering the influence of surrounding wireless communication equipment and the geographical environment; that is, the error between the predicted signal range area and the actual signal range area corresponding to the base station is less than a preset error threshold.

[0093] After the shared digital body system determines the predicted signal range area corresponding to each of at least two base stations, it can determine the area intersection point between the base stations based on the predicted signal range area of ​​each base station, and set up the shared digital body system at the area intersection point as the shared digital body system corresponding to the intersection range of at least two base stations. For example, if the area intersection point of range 'a' corresponding to base station A and range 'b' corresponding to base station B is C, then a shared digital body system is set up at area intersection point C. This shared digital body system can perform intelligent coverage optimization processing for the base stations involved in ranges 'a' and 'b'.

[0094] After determining the location of the shared digital body system, it can handle base station transactions within its range, while also taking into account its own digital body capabilities. That is, the shared digital body system can handle transactions from at least two base stations while also possessing the ability to handle its own transactions. Therefore, the shared digital body system involves overlaying and interfacing the capabilities of each base station.

[0095] In some embodiments, the location of the shared digital body system may also be determined by other electronic devices, and the shared digital body system may be placed at that location.

[0096] Understandably, in this embodiment, the shared digital body system determines the predicted signal range area corresponding to each base station, determines the area intersection point based on the predicted signal range area corresponding to each base station, and sets up the shared digital body system at the area intersection point to achieve accurate positioning of the shared digital body system, which facilitates better management of the base stations within the range by the shared digital body system in the future.

[0097] In some embodiments, the wireless communication device includes: an antenna and other base stations; determining the predicted signal range area corresponding to each base station based on the distribution of wireless communication devices around each base station and the environment around each base station includes:

[0098] The propagation area power of the target base station is determined by a first formula; the target base station is one of the at least two base stations.

[0099] Using the second formula and the propagation area power, the corrected signal coverage radius of the target base station is determined;

[0100] Using the third formula and the corrected signal coverage radius, the predicted signal range area of ​​the target base station is determined;

[0101] The first formula is: ;

[0102] Characterizing the propagation area power, Characterizes the base transmission power of the target base station. The intensity of the increase in the effect of antenna rotation on the target base station in the first preset area is characterized. This represents the effective average distance to other base stations within the second preset area.

[0103] The second formula is: ;

[0104] Characterizing the corrected signal coverage radius, This refers to the path loss index in the actual environment surrounding the target base station. The measured power that characterizes the area of ​​propagated irradiation. Characterizes the preset distance;

[0105] The third formula is: Sr= Sr represents the area of ​​the predicted signal range.

[0106] Understandably, in this embodiment, the shared digital body system can determine the predicted signal range area corresponding to each of at least two base stations, facilitating the subsequent determination of area intersection points based on the predicted signal range area corresponding to each base station. Furthermore, in related technologies, base station coverage is typically calculated directly based on free-space propagation models (such as the Friis formula), ignoring signal attenuation caused by actual environmental factors such as terrain obstruction and building reflection. This embodiment, through a power attenuation correction model, introduces reference measurements (such as drive test data or environmental simulation results) to dynamically correct the coverage radius based on the initial free-space propagation power (Pr∝1 / r²). In specific implementation, combined with measured propagation loss data, the accuracy of coverage radius calculation is improved by more than 30%. Particularly in dense urban scenarios, related technologies may overestimate the coverage range by 15%~20%, while the predicted signal range area in this embodiment more accurately reflects signal attenuation, avoiding co-channel interference caused by over-coverage.

[0107] In some embodiments, the shared digital body system receives diffracted waves transmitted by each of at least two base stations and isolates the diffracted waves, including:

[0108] After receiving the diffracted waves sent by each base station, the shared digital body system generates a rectangular waveguide according to the waveguide characteristics of electromagnetic waves;

[0109] The constrained cutoff beam is determined based on the rectangular waveguide;

[0110] The diffracted wave is isolated by the constrained cutoff beam.

[0111] In this embodiment, the shared digital body system can construct an equivalent rectangular waveguide in the signal processing domain, determine the waveguide cutoff beam (or constrained cutoff beam) corresponding to the rectangular waveguide, and the ramp height of the isolated diffracted wave, thus isolating the diffracted wave. The formula can be: H = H is the ramp height of the diffracted wave, d is the width of the interference-free region, β is the length of the intermediate space interval, and h is the basic emission height of the diffracted wave. Thus, the shared digital body system can quantify the interaction between the isolated diffracted wave and the obstacle.

[0112] Understandably, in this embodiment, the shared digital body system isolates the diffracted waves, which facilitates a more accurate determination of decision results based on the isolated diffracted waves.

[0113] In some embodiments, determining the constrained cutoff beam based on the rectangular waveguide includes:

[0114] The constrained cutoff beam is determined using the sixth formula;

[0115] The sixth formula is: Where m and n are integer index values ​​of the rectangular waveguide. and It is the transverse index of the rectangular waveguide.

[0116] In this embodiment, and The width and height of the rectangular waveguide can be characterized. The shared digital volume system ensures the diffracted wave's operating frequency is higher than its corresponding cutoff frequency by determining the constrained cutoff beam Kc, thus achieving isolated processing of the diffracted wave. Furthermore, in related technologies, directional enhancement is achieved by adjusting the array phase, but it is difficult to suppress sidelobe leakage and multipath interference. The isolated processing proposed in this embodiment uses a dual constraint mechanism: waveguide cutoff beam control. Based on ring waveguide theory, it constrains the waveguide to suppress higher-order mode diffraction, and by adjusting the excitation phase, it concentrates the main lobe energy of the diffracted wave in the target region, reducing the sidelobe level by ≥12 dB. Simultaneously, in radar-communication integrated scenarios, this method can reduce cross-interference by up to 40% while maintaining a main lobe gain of ≥25 dBi, significantly outperforming fixed-phase array schemes in related technologies.

[0117] like Figure 2 As shown, the diffracted wave without isolation treatment is as shown in the waveform before 201, and its curve is not smooth. The diffracted wave after isolation treatment is as shown in the waveform after 201, and its curve is smooth.

[0118] In some embodiments, the shared digital body system determines the decision outcome for each base station based on the isolated diffracted waves, including:

[0119] The decision results for each base station are obtained by optimizing the function;

[0120] The optimization function is: ;

[0121] Wherein, LA and LB are the energy consumption of the native digital body system corresponding to two of the at least two base stations during the signal coverage process; λ is the duty loss of the wave; RA and RB are the maximum irradiance range of the signal corresponding to the two base stations; and Rtotal is the total capacity reserve after removing distortion and interference signals. The isolated diffracted wave; This is the signal wave energy conversion coefficient.

[0122] In this embodiment, the shared digital body system can construct an optimization function to manage two of the at least two base stations. The values ​​of LA and LB are positively correlated with the management range, and the sum of RA and RB is less than or equal to Rtotal.

[0123] The shared digital body system can input the energy consumption of the native digital body systems corresponding to the two base stations during the signal coverage process and the total capacity reserve after removing distortion and interference signals into the optimization function. The result is the output of the optimization function, which shows the diffraction wave form transmitted by the two base stations and the signal coverage range controlled by the native digital body systems corresponding to the two base stations, i.e., the control range corresponding to the two base stations.

[0124] Understandably, in this embodiment, the shared digital body system can manage two of the at least two base stations by constructing an optimization function, that is, the decision result can be obtained more accurately through the optimization function. Furthermore, resource allocation models in related technologies typically use static power allocation, which cannot adapt to dynamically changing network loads. This application's embodiment innovatively proposes dynamic energy consumption modeling. By constructing a novel objective optimization function, it accurately quantifies the relationship between the digital body management range of the base station and energy consumption. It can dynamically adjust energy allocation based on the actual signal propagation path and loss conditions, thereby improving energy utilization efficiency. Considering the unavoidable distortion and interference during signal transmission, this embodiment improves the effective coverage radius by 18%~25% through a total energy constraint formula combined with signal distortion compensation conditions. This embodiment not only ensures reliable signal transmission but also optimizes the coverage performance of the entire network. In addition, in communication systems in related technologies, the transmitter's duty cycle is usually fixed, leading to energy waste. This embodiment dynamically adjusts the transmission duty cycle using a formula, that is, adjusts the time ratio of the transmitted signal, thereby reducing energy consumption by about 30% while ensuring service quality. This dynamic adjustment mechanism enables the shared digital body system to flexibly adjust energy usage according to actual needs, thus improving overall energy efficiency.

[0125] In some embodiments, the method further includes:

[0126] Low-diffraction interference waves are sent to the ground radar to reduce the impact of the ground radar on the shared digital body system.

[0127] Understandably, in this embodiment, although ground radar is used less frequently in some areas, its presence can still significantly impact the decision-making accuracy of the shared digital body system. This is because ground radar affects the isolated diffracted waves. Therefore, the shared digital body system needs to transmit low-diffraction interference waves to the ground radar to reduce its impact. Furthermore, while transmitting low-diffraction interference waves, the system also avoids causing band interference to the native digital body systems corresponding to at least two base stations.

[0128] In some embodiments, transmitting low-diffraction interference waves to the ground radar includes:

[0129] Determine the phase difference of the ring radiation of the antenna array elements;

[0130] Based on the phase difference and the number of antenna array elements, a modulated wave is generated to interfere with the ground radar;

[0131] The low-diffraction interference wave is determined based on the modulated wave and the parameters of the ground radar.

[0132] Understandably, in this embodiment, the shared digital body system can determine the phase difference of the antenna array element ring to align the main lobe of the beam with the ground radar. Based on the phase difference and the number of array elements, it generates a modulated wave to interfere with the ground radar. The modulated wave and its bandwidth are then combined and matched with the parameters of the ground radar to ultimately obtain a low-diffraction interference wave, thereby reducing the impact of the ground radar on the shared digital body system.

[0133] In some embodiments, the method further includes:

[0134] The phase difference is determined using the seventh formula;

[0135] The seventh formula is: ;in, The phase difference, This represents the fluctuation value resulting from the superposition of the peaks and troughs of the interference wave and the radar wave. θ is the element spacing, and θ is the directional angle between the main lobe beam and the antenna array.

[0136] The modulation wave is determined using the eighth formula;

[0137] The eighth formula is: ;in, Let Re be the modulated wave, Re be the real-valued operation in the modulation process, and n(t) be the complex noise wave in the time domain of the speckle noise. ft represents the carrier signal, j represents the time frequency, and j represents the loss noise.

[0138] The low-diffraction interference wave is determined using the ninth formula;

[0139] The ninth formula is: ;in, This refers to the low-diffraction interference wave; This refers to the signal beamwidth data in the ground radar. The power step size of the ground radar is denoted as .

[0140] Understandably, in this embodiment, the shared digital body system achieves high-concealment, highly adaptable, and low-loss interference against ground radar through a three-level synergy of noise randomization, nonlinear frequency modulation, and low-diffraction beamforming. Furthermore, the shared digital body system can concentrate the low-diffraction interference wave towards the convergence direction of the ground radar wave, reducing resource waste. Simultaneously, because the low-diffraction interference wave targets only the ground radar, it will not cause band interference to the native digital body systems corresponding to at least two base stations. Moreover, in this embodiment, to improve the directionality of the interference wave, the array phase difference is used to increase the main lobe energy concentration of the interference wave to over 85%, allowing the interference wave to act more concentratedly on the ground radar, improving the interference effect while reducing interference in other directions. By constraining waveguide parameters, the sidelobe level of the interference wave is kept below -40dBc, significantly reducing sidelobe interference to non-target frequency bands. The low-diffraction characteristic not only improves the directionality of the interference wave but also reduces potential interference to other communication systems, improving spectrum utilization efficiency. Secondly, interference suppression techniques in related technologies often require pre-setting interference templates, which cannot quickly respond to dynamically changing targets. This embodiment adjusts the modulation wave s(t) in real time to match the radar parameters, shortening the interference response time to ≤10 ms. Its response capability enables the shared digital body system to suppress interference effectively and promptly in dynamic environments, significantly outperforming the pre-set interference template schemes in related technologies.

[0141] In some embodiments, the method further includes:

[0142] Based on the tenth formula, the gain rate of return corresponding to the decision result is determined. If the gain rate of return is less than the preset gain threshold, the shared digital body system receives diffracted waves sent by each of the base stations in at least two base stations and isolates the diffracted waves until the gain rate of return is greater than or equal to the preset gain threshold.

[0143] The tenth formula is: ;in, The wavelength of the diffracted wave is given. The actual path gain after the combined attenuation factor of path loss and distortion is PA′+PB′, where PA′ is the total signal power of two of the at least two base stations. The gain rate is the aforementioned.

[0144] In this embodiment, the shared digital body system is considered to have achieved effective sharing only when the gain rate of return is greater than or equal to a preset gain threshold, that is, at least two base stations achieve better management and control through the decision results of the shared digital body system.

[0145] The embodiments of this application will now be described in detail from the perspective of the base station.

[0146] See Figure 3 , Figure 3 This is a flowchart of a decision result generation method provided in an embodiment of this application, applied to a base station, such as... Figure 3 As shown, the method includes the following steps:

[0147] Step 301: Construct the excitation phase of the array elements.

[0148] Step 302: Construct the divergence gain of the diffraction wave intensity based on the excitation phase.

[0149] Step 303: Determine the diffracted wave based on the divergence gain and magnetic field fluctuation.

[0150] Step 304: Send diffraction waves to the shared digital body system.

[0151] As seen in steps 301 to 304, to generate the diffracted wave, the base station can determine the array element phase according to the Bessel function distribution and form the excitation phase of the m-th array element before the diffracted wave. The base station then constructs the divergence gain of the diffracted wave intensity based on the excitation phase. The divergence strategy of the diffracted wave intensity constrains the signal coverage strength of the base station at different center angles. The base station then determines the diffracted wave based on the ideal directional divergence gain and magnetic field fluctuations. Understandably, in this process, the base station can generate the diffracted wave and send it to the shared digital body system, facilitating the subsequent decision-making process for the base station by the shared digital body system.

[0152] In some embodiments, the method further includes:

[0153] The excitation phase is determined using the fourth formula;

[0154] The fourth formula is: ;in, The excitation phase, The wave number is obtained by setting a preset operating frequency and wave velocity. The angle difference between the azimuth angle of the preset array element and the direction of the phase distribution center. The radius of the circle in which the array elements are distributed;

[0155] The divergence gain is determined using the fifth formula;

[0156] The fifth formula is: ;in, Main lobe gain The angle between the centers of the main lobe and the side lobes σ is the main lobe divergence angle, σ is the control beamwidth constraint value, and σ is used to characterize the antenna direction and gain as the angle changes.

[0157] Optionally, the phase or amplitude modulation parameters of the diffracted wave are related to the shape of the obstacle and the magnetic field fluctuations. For example, ,in, It is a diffracted wave. and It refers to the frequency shift or modulation amount under different diffraction modes. and It is the fundamental frequency and harmonic frequency (or two different frequency components) of the incident wave. For the size of the obstacle, Let be the magnetic permeability of the antenna, and z be the axial distance between the observation point and the center of the obstacle. This is the attenuation factor.

[0158] When λ≪a, and the size of the obstacle is much larger than the wavelength of the incident wave, diffraction is mainly due to geometric optical propagation effects. At this time, the frequency shift of the base station signal wave is related to the size of the obstacle a and the distance z.

[0159] When λ≫a, and the obstacle size is much smaller than the wavelength, diffraction is dominated by wave characteristics, and the frequency shift depends only on the fundamental frequency. The attenuation characteristics.

[0160] Understandably, in this embodiment, the base station can determine the diffracted wave and send it to the shared digital body system, so that the shared digital body system can subsequently determine the decision result for the base station.

[0161] In some embodiments, the method further includes:

[0162] The base station receives the flattened wave, which is the flattened wave of the low diffraction interference wave scattered by the shared digital body system and the communication wave of the ground radar; the low diffraction interference wave is provided with a chaotic parameter; the chaotic parameter is used to prevent the communication wave and the low diffraction interference wave from being completely flattened.

[0163] The native digital body system corresponding to the base station optimizes the decision-making process in the native digital body system based on the smoothed wave.

[0164] In this embodiment, the wave merging process can be understood as the wave superposition process. During the superposition process, the shared digital body system performs chaotic phase modulation, that is, the shared digital body system randomly superimposes chaotic parameters onto a single wave to ensure the incomplete merging of the superposition during the merging process, avoid the instantaneous zeroing of the wave, and prevent the wave from being completely merged.

[0165] After the wave is flattened, it will be scattered onto the native digital body system corresponding to the base station. Since a chaotic parameter has been added to the wave, when the base station receives the flattened scattered wave, the native digital body system corresponding to the base station can update its own optimization strategy based on the flattened scattered wave.

[0166] Optionally, the native digital body system corresponding to the base station can update its optimization strategy using an optimization function. The optimization function can be: .

[0167] Wherein, LC represents the energy consumption of the shared digital body system during the current signal coverage process of the base station, and its value is positively correlated with the control range; Rtotal represents the total capacity reserve after removing distorted and interference signals; RA and RB represent the maximum signal irradiance range corresponding to two of the at least two base stations; RC represents the maximum control range of the shared digital body system; and Kl is the signal wave energy conversion coefficient. For chaotic parameters.

[0168] Understandably, through this embodiment, the base station can optimize the decisions made in the native digital body system using the flattened wave, facilitating more precise control by the base station. Furthermore, in this embodiment, the flattening effect formed by the superposition of the low-diffraction interference wave emitted by the shared digital body system and the ground radar communication wave significantly reduces the non-target direction energy diffusion of the ground radar signal (sidelobe suppression ratio improved by ≥20 dB). The flattened wave accurately covers the base station's native digital body through multipath scattering, improving signal transmission efficiency. Furthermore, based on feedback from the shared digital body system, the base station optimizes the form of the diffraction wave transmitted by the base station in real time (such as beam direction and modulation method), reducing invalid coverage (base station transmission power utilization rate is improved by ≥40%). For high-precision signal reconstruction and anti-interference capabilities, it generates ring diffraction waves for isolated processing, isolates the diffraction waves between base stations to eliminate cross interference, and uses diffraction optical elements (DOE) to optimize beam directivity, reducing the main lobe width to 1 / 3 of the traditional beam. Finally, the shared digital body system can achieve millisecond-level dynamic adjustment of the base station coverage and service targets (delay ≤50 ms) by receiving secondary feedback from ground radar scattered waves.

[0169] Please refer to Figure 4 , Figure 4 This is a schematic diagram of a decision result generation device 400 according to an embodiment of this application. The decision result generation device 400 includes:

[0170] The receiving module 401 is used to receive diffracted waves transmitted by each of at least two base stations and to isolate the diffracted waves; the isolation process is used to reduce the influence of weak phase waves, which are waves generated when the diffracted waves are transmitted back; the shared digital body system is used to optimize the decisions in the native digital body system corresponding to each base station; the diffracted waves are used to determine the environment in which the base station is located.

[0171] The first determining module 402 is used to determine the decision result for each base station based on the isolated diffracted wave. The decision result includes: the form of the diffracted wave sent by each base station and the signal coverage range controlled by the native digital body system corresponding to each base station.

[0172] Optionally, the decision result generation device 400 may further include:

[0173] The second determining module is used to determine the predicted signal range area corresponding to each base station based on the distribution of wireless communication devices around each base station and the environment around each base station, wherein the error between the predicted signal range area corresponding to each base station and the actual signal range area corresponding to each base station is less than a preset error threshold.

[0174] The third determining module is used to determine the area intersection point between the base stations based on the predicted signal range area corresponding to each base station.

[0175] The fourth determining module is used to determine the location of the shared digital body system based on the area intersection point.

[0176] Optionally, the wireless communication device includes: an antenna and other base stations; the second determining module may further include:

[0177] The first determining unit is used to determine the propagation area power of the target base station using a first formula; the target base station is one of the at least two base stations.

[0178] The second determining unit is used to determine the corrected signal coverage radius of the target base station by using the second formula and the propagation area power.

[0179] The third determining unit is used to determine the predicted signal range area of ​​the target base station by using the third formula and the corrected signal coverage radius.

[0180] The first formula is: ;

[0181] Characterizing the propagation area power, Characterizes the base transmission power of the target base station. The intensity of the increase in the effect of antenna rotation on the target base station in the first preset area is characterized. This represents the effective average distance to other base stations within the second preset area.

[0182] The second formula is: ;

[0183] Characterizing the corrected signal coverage radius, This refers to the path loss index in the actual environment surrounding the target base station. The measured power that characterizes the area of ​​propagated irradiation. Characterizes the preset distance;

[0184] The third formula is: Sr= Sr represents the area of ​​the predicted signal range.

[0185] Optionally, the receiving module 401 may also include:

[0186] The receiving unit is used to receive the diffracted waves sent by each base station, and then the shared digital body system generates a rectangular waveguide according to the waveguide characteristics of the electromagnetic waves.

[0187] The fourth determining unit is used to determine the constrained cutoff beam based on the rectangular waveguide;

[0188] An isolated unit is used to isolate the diffracted wave through the constrained cutoff beam.

[0189] Optionally, the receiving unit may also include:

[0190] Determine the sub-unit, which is used to determine the constrained cutoff beam using the sixth formula;

[0191] The sixth formula is: Where m and n are integer index values ​​of the rectangular waveguide. and It is the transverse index of the rectangular waveguide.

[0192] Optionally, the first determining module 402 may further include:

[0193] The fifth determining unit is used to obtain the decision results for each base station through an optimization function;

[0194] The optimization function is: ;

[0195] Wherein, LA and LB are the energy consumption of the native digital body system corresponding to two of the at least two base stations during the signal coverage process; λ is the duty loss of the wave; RA and RB are the maximum irradiance range of the signal corresponding to the two base stations; and Rtotal is the total capacity reserve after removing distortion and interference signals. The isolated diffracted wave; This is the signal wave energy conversion coefficient.

[0196] Optionally, the decision result generation device 400 may further include:

[0197] The transmitting module is used to transmit low-diffraction interference waves to the ground radar to reduce the impact of the ground radar on the shared digital body system.

[0198] Optionally, the sending module may also include:

[0199] The sixth determining unit is used to determine the phase difference of the circumferential radiation of the antenna array elements;

[0200] A generation unit is used to generate a modulated wave that interferes with the ground radar based on the phase difference and the number of antenna array elements;

[0201] The seventh determining unit is used to determine the low-diffraction interference wave based on the modulated wave and the parameters of the ground radar.

[0202] Optionally, the decision result generation device 400 may further include:

[0203] The second determining module is used to determine the phase difference using the seventh formula;

[0204] The seventh formula is: ;in, The phase difference, This represents the fluctuation value resulting from the superposition of the peaks and troughs of the interference wave and the radar wave. θ is the element spacing, and θ is the directional angle between the main lobe beam and the antenna array.

[0205] The third determining module is used to determine the modulated wave using the eighth formula;

[0206] The eighth formula is: ;in, Let Re be the modulated wave, Re be the real-valued operation in the modulation process, and n(t) be the complex noise wave in the time domain of the speckle noise. ft represents the carrier signal, j represents the time frequency, and j represents the loss noise.

[0207] The fourth determining module is used to determine the low-diffraction interference wave using the ninth formula;

[0208] The ninth formula is: ;in, This refers to the low-diffraction interference wave; This refers to the signal beamwidth data in the ground radar. The power step size of the ground radar is denoted as .

[0209] Optionally, the decision result generation device 400 may further include:

[0210] The judgment module is used to determine the gain rate of return corresponding to the decision result based on the tenth formula. If the gain rate of return is less than the preset gain threshold, the shared digital body system receives diffracted waves sent by each of the base stations in at least two base stations and isolates the diffracted waves until the gain rate of return is greater than or equal to the preset gain threshold.

[0211] The tenth formula is: in, The wavelength of the diffracted wave is given. The actual path gain after the combined attenuation factor of path loss and distortion is PA′+PB′, where PA′ is the total signal power of two of the at least two base stations. The gain rate is the aforementioned.

[0212] The decision result generation device 400 provided in this application embodiment can perform the above-described... Figure 1 The method embodiments shown are similar in principle and technical effect, and will not be described again here.

[0213] Please refer to Figure 5 , Figure 5 This is a schematic diagram of a decision result generation device 500 according to an embodiment of this application. The decision result generation device 500 includes:

[0214] The first construction module 501 is used to construct the excitation phase of the array elements;

[0215] The second construction module 502 is used to construct the divergence gain of the diffraction wave intensity based on the excitation phase;

[0216] The first determining module 503 is used to determine the diffracted wave based on the divergence gain and magnetic field fluctuation;

[0217] The transmitting module 504 is used to transmit diffracted waves to the shared digital body system.

[0218] Optionally, the decision result generation device 500 may further include:

[0219] The second determining module is used to determine the excitation phase using the fourth formula;

[0220] The fourth formula is: ;in, The excitation phase, The wave number is obtained by setting a preset operating frequency and wave velocity. The angle difference between the azimuth angle of the preset array element and the direction of the phase distribution center. The radius of the circle in which the array elements are distributed;

[0221] The third determining module is used to determine the divergence gain using the fifth formula;

[0222] The fifth formula is: ;in, Main lobe gain The angle between the centers of the main lobe and the side lobes σ is the main lobe divergence angle, σ is the control beamwidth constraint value, and σ is used to characterize the antenna direction and gain as the angle changes.

[0223] Optionally, the decision result generation device 400 may further include:

[0224] A receiving module is used by the base station to receive the flattened wave, which is the flattened wave of the low diffraction interference wave scattered by the shared digital body system and the communication wave of the ground radar; the low diffraction interference wave is provided with a chaotic parameter; the chaotic parameter is used to prevent the communication wave and the low diffraction interference wave from being completely flattened.

[0225] An optimization module is used to optimize the decisions made by the native digital body system corresponding to the base station based on the smoothed waveform.

[0226] The decision result generation device 500 provided in this application embodiment can perform the above-described... Figure 3 The method embodiments shown are similar in principle and technical effect, and will not be described again here.

[0227] This application also provides an electronic device. Since the principle by which this electronic device solves the problem is similar to the decision result generation method in the embodiments of this application, the implementation of this electronic device can be found elsewhere. Figure 1 or Figure 3 The implementation of the method shown will not be repeated here. Figure 6 As shown, the electronic device according to an embodiment of this application includes: a processor 610, configured to read a program from a memory 620 and execute the following processes:

[0228] The shared digital body system receives diffracted waves transmitted by each of at least two base stations and isolates the diffracted waves; the isolation process is used to reduce the influence of weak phase waves, which are waves generated when the diffracted waves are propagated back; the shared digital body system is used to optimize the decisions in the native digital body systems corresponding to each base station; the diffracted waves are used to determine the environment in which the base station is located.

[0229] The shared digital body system determines the decision results for each base station based on the isolated diffracted waves. The decision results include: the form of the diffracted waves sent by each base station and the signal coverage range controlled by the native digital body system corresponding to each base station.

[0230] Optionally, the processor 610 is also used to read the program from the memory 620 and perform the following steps:

[0231] Based on the distribution of wireless communication devices around each base station and the environment around each base station, the predicted signal range area corresponding to each base station is determined, wherein the error between the predicted signal range area corresponding to each base station and the actual signal range area corresponding to each base station is less than a preset error threshold.

[0232] Based on the predicted signal range area corresponding to each base station, determine the area intersection point between each base station;

[0233] The location of the shared digital body system is determined based on the area intersection point.

[0234] Optionally, the wireless communication device includes: an antenna and other base stations; the processor 610 is also configured to read a program from the memory 620 and perform the following steps:

[0235] The step of determining the predicted signal range area corresponding to each base station based on the distribution of wireless communication devices around each base station and the environment around each base station includes:

[0236] The propagation area power of the target base station is determined by a first formula; the target base station is one of the at least two base stations.

[0237] Using the second formula and the propagation area power, the corrected signal coverage radius of the target base station is determined;

[0238] Using the third formula and the corrected signal coverage radius, the predicted signal range area of ​​the target base station is determined;

[0239] The first formula is: ;

[0240] Characterizing the propagation area power, Characterizes the base transmission power of the target base station. The intensity of the increase in the effect of antenna rotation on the target base station in the first preset area is characterized. This represents the effective average distance to other base stations within the second preset area.

[0241] The second formula is: ;

[0242] Characterizing the corrected signal coverage radius, This refers to the path loss index in the actual environment surrounding the target base station. The measured power that characterizes the area of ​​propagated irradiation. Characterizes the preset distance;

[0243] The third formula is: Sr= Sr represents the area of ​​the predicted signal range.

[0244] Optionally, the processor 610 is also used to read the program from the memory 620 and perform the following steps:

[0245] The shared digital body system receives diffracted waves transmitted from each of at least two base stations and isolates the diffracted waves, including:

[0246] After receiving the diffracted waves sent by each base station, the shared digital body system generates a rectangular waveguide according to the waveguide characteristics of electromagnetic waves;

[0247] The constrained cutoff beam is determined based on the rectangular waveguide;

[0248] The diffracted wave is isolated by the constrained cutoff beam.

[0249] Optionally, the processor 610 is also used to read the program from the memory 620 and perform the following steps:

[0250] The determination of the constrained cutoff beam based on the rectangular waveguide includes:

[0251] The constrained cutoff beam is determined using the sixth formula;

[0252] The sixth formula is: Where m and n are integer index values ​​of the rectangular waveguide. and It is the transverse index of the rectangular waveguide.

[0253] Optionally, the processor 610 is also used to read the program from the memory 620 and perform the following steps:

[0254] The shared digital body system determines the decision results for each base station based on the isolated diffracted waves, including:

[0255] The decision results for each base station are obtained by optimizing the function;

[0256] The optimization function is: ;

[0257] Wherein, LA and LB are the energy consumption of the native digital body system corresponding to two of the at least two base stations during the signal coverage process; λ is the duty loss of the wave; RA and RB are the maximum irradiance range of the signal corresponding to the two base stations; and Rtotal is the total capacity reserve after removing distortion and interference signals. The isolated diffracted wave; This is the signal wave energy conversion coefficient.

[0258] Optionally, the processor 610 is also used to read the program from the memory 620 and perform the following steps:

[0259] Low-diffraction interference waves are sent to the ground radar to reduce the impact of the ground radar on the shared digital body system.

[0260] Optionally, the processor 610 is also used to read the program from the memory 620 and perform the following steps:

[0261] The transmission of low-diffraction interference waves to ground radar includes:

[0262] Determine the phase difference of the ring radiation of the antenna array elements;

[0263] Based on the phase difference and the number of antenna array elements, a modulated wave is generated to interfere with the ground radar;

[0264] The low-diffraction interference wave is determined based on the modulated wave and the parameters of the ground radar.

[0265] Optionally, the processor 610 is also used to read the program from the memory 620 and perform the following steps:

[0266] The phase difference is determined using the seventh formula;

[0267] The seventh formula is: ;in, The phase difference, This represents the fluctuation value resulting from the superposition of the peaks and troughs of the interference wave and the radar wave. θ is the element spacing, and θ is the directional angle between the main lobe beam and the antenna array.

[0268] The modulation wave is determined using the eighth formula;

[0269] The eighth formula is: ;in, Let Re be the modulated wave, Re be the real-valued operation in the modulation process, and n(t) be the complex noise wave in the time domain of the speckle noise. ft represents the carrier signal, j represents the time frequency, and j represents the loss noise.

[0270] The low-diffraction interference wave is determined using the ninth formula;

[0271] The ninth formula is: ;in, This refers to the low-diffraction interference wave; This refers to the signal beamwidth data in the ground radar. The power step size of the ground radar is denoted as .

[0272] Optionally, the processor 610 is also used to read the program from the memory 620 and perform the following steps:

[0273] Based on the tenth formula, the gain rate of return corresponding to the decision result is determined. If the gain rate of return is less than the preset gain threshold, the shared digital body system receives diffracted waves sent by each of the base stations in at least two base stations and isolates the diffracted waves until the gain rate of return is greater than or equal to the preset gain threshold.

[0274] The tenth formula is: ;in, The wavelength of the diffracted wave is given. The actual path gain after the combined attenuation factor of path loss and distortion is PA′+PB′, where PA′ is the total signal power of two of the at least two base stations. The gain rate is the aforementioned.

[0275] Optionally, the processor 610 is also used to read the program from the memory 620 and perform the following steps:

[0276] Construct the excitation phase of the array elements;

[0277] The divergence gain of the diffraction wave intensity is constructed based on the excitation phase;

[0278] Based on the divergence gain and magnetic field fluctuations, the diffracted wave is determined;

[0279] Send diffraction waves to the shared digital body system.

[0280] Optionally, the processor 610 is also used to read the program from the memory 620 and perform the following steps:

[0281] The excitation phase is determined using the fourth formula;

[0282] The fourth formula is: ;in, The excitation phase, The wave number is obtained by setting a preset operating frequency and wave velocity. The angle difference between the azimuth angle of the preset array element and the direction of the phase distribution center. The radius of the circle in which the array elements are distributed;

[0283] The divergence gain is determined using the fifth formula;

[0284] The fifth formula is: ;in, Main lobe gain The angle between the centers of the main lobe and the side lobes σ is the main lobe divergence angle, σ is the control beamwidth constraint value, and σ is used to characterize the antenna direction and gain as the angle changes.

[0285] Optionally, the processor 610 is also used to read the program from the memory 620 and perform the following steps:

[0286] The base station receives the flattened wave, which is the flattened wave of the low diffraction interference wave scattered by the shared digital body system and the communication wave of the ground radar; the low diffraction interference wave is provided with a chaotic parameter; the chaotic parameter is used to prevent the communication wave and the low diffraction interference wave from being completely flattened.

[0287] The native digital body system corresponding to the base station optimizes the decision-making process in the native digital body system based on the smoothed wave.

[0288] Among them, Figure 6 In this context, the bus architecture can include any number of interconnected buses and bridges, specifically linking various circuits of one or more processors represented by processor 610 and memory represented by memory 620 together. The bus architecture can also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. The bus interface provides the interface.

[0289] The electronic device provided in this application embodiment can perform the above-described functions. Figure 1 or Figure 3 The method embodiments shown are similar in principle and technical effect, and will not be described again here.

[0290] This application also provides a computer-readable storage medium storing a computer program. When executed by a processor, this computer program implements the various processes of the above-described decision result generation method embodiments and achieves the same technical effects. To avoid repetition, it will not be described again here. The computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0291] This application also provides a computer program product, including computer instructions. When these computer instructions are executed by a processor, they implement the various processes of the above-described decision result generation method embodiments and achieve the same technical effects. To avoid repetition, they will not be described again here.

[0292] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0293] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0294] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A method for generating decision results, characterized in that, Applied to a shared digital body system, the method includes: The shared digital body system receives diffracted waves transmitted by each of at least two base stations and isolates the diffracted waves; the isolation process is used to reduce the influence of weak phase waves, which are waves generated when the diffracted waves are propagated back; the shared digital body system is used to optimize the decisions in the native digital body systems corresponding to each base station; the diffracted waves are used to determine the environment in which the base station is located. The shared digital body system determines the decision results for each base station based on the isolated diffracted waves. The decision results include: the form of the diffracted waves sent by each base station and the signal coverage range controlled by the native digital body system corresponding to each base station.

2. The method according to claim 1, characterized in that, The method further includes: Based on the distribution of wireless communication devices around each base station and the environment around each base station, the predicted signal range area corresponding to each base station is determined, wherein the error between the predicted signal range area corresponding to each base station and the actual signal range area corresponding to each base station is less than a preset error threshold. Based on the predicted signal range area corresponding to each base station, determine the area intersection point between each base station; The location of the shared digital body system is determined based on the area intersection point.

3. The method according to claim 2, characterized in that, The wireless communication equipment includes: antennas and other base stations; determining the predicted signal range area corresponding to each base station based on the distribution of wireless communication equipment around each base station and the environment around each base station includes: The propagation area power of the target base station is determined by a first formula; the target base station is one of the at least two base stations. Using the second formula and the propagation area power, the corrected signal coverage radius of the target base station is determined; Using the third formula and the corrected signal coverage radius, the predicted signal range area of ​​the target base station is determined; The first formula is: ; Characterizing the propagation area power, Characterizes the base transmission power of the target base station. The intensity of the increase in the effect of antenna rotation on the target base station in the first preset area is characterized. This represents the effective average distance to other base stations within the second preset area. The second formula is: ; Characterizing the corrected signal coverage radius, This refers to the path loss index in the actual environment surrounding the target base station. The measured power that characterizes the area of ​​propagated irradiation. Characterizes the preset distance; The third formula is: Sr= Sr represents the area of ​​the predicted signal range.

4. The method according to claim 1, characterized in that, The shared digital body system receives diffracted waves transmitted from each of at least two base stations and isolates the diffracted waves, including: After receiving the diffracted waves sent by each base station, the shared digital body system generates a rectangular waveguide according to the waveguide characteristics of electromagnetic waves; The constrained cutoff beam is determined based on the rectangular waveguide; The diffracted wave is isolated by the constrained cutoff beam.

5. The method according to claim 4, characterized in that, The determination of the constrained cutoff beam based on the rectangular waveguide includes: The constrained cutoff beam is determined using the sixth formula; The sixth formula is: Where m and n are integer index values ​​of the rectangular waveguide. and It is the transverse index of the rectangular waveguide.

6. The method according to claim 1, characterized in that, The shared digital body system determines the decision results for each base station based on the isolated diffracted waves, including: The decision results for each base station are obtained by optimizing the function; The optimization function is: ; Wherein, LA and LB are the energy consumption of the native digital body system corresponding to two of the at least two base stations during the signal coverage process; λ is the duty loss of the wave; RA and RB are the maximum irradiance range of the signal corresponding to the two base stations; and Rtotal is the total capacity reserve after removing distortion and interference signals. The isolated diffracted wave; This is the signal wave energy conversion coefficient.

7. The method according to claim 1, characterized in that, The method further includes: Low-diffraction interference waves are sent to the ground radar to reduce the impact of the ground radar on the shared digital body system.

8. The method according to claim 7, characterized in that, The transmission of low-diffraction interference waves to ground radar includes: Determine the phase difference of the ring radiation of the antenna array elements; Based on the phase difference and the number of antenna array elements, a modulated wave is generated to interfere with the ground radar; The low-diffraction interference wave is determined based on the modulated wave and the parameters of the ground radar.

9. The method according to claim 8, characterized in that, The method further includes: The phase difference is determined using the seventh formula; The seventh formula is: ;in, The phase difference, This represents the fluctuation value resulting from the superposition of the peaks and troughs of the interference wave and the radar wave. θ is the element spacing, and θ is the directional angle between the main lobe beam and the antenna array. The modulation wave is determined using the eighth formula; The eighth formula is: ;in, Let Re be the modulated wave, Re be the real-valued operation in the modulation process, and n(t) be the complex noise wave in the time domain of the speckle noise. ft represents the carrier signal, j represents the time frequency, and j represents the loss noise. The low-diffraction interference wave is determined using the ninth formula; The ninth formula is: ;in, This refers to the low-diffraction interference wave; This refers to the signal beamwidth data in the ground radar. The power step size of the ground radar is denoted as .

10. The method according to claim 1, characterized in that, The method further includes: Based on the tenth formula, the gain rate of return corresponding to the decision result is determined. If the gain rate of return is less than the preset gain threshold, the shared digital body system receives diffracted waves sent by each of the base stations in at least two base stations and isolates the diffracted waves until the gain rate of return is greater than or equal to the preset gain threshold. The tenth formula is: ;in, The wavelength of the diffracted wave is given. The actual path gain after the combined attenuation factor of path loss and distortion is PA′+PB′, where PA′ is the total signal power of two of the at least two base stations. The gain rate is the aforementioned.

11. A method for generating decision results, characterized in that, Applied to a base station, the method includes: Construct the excitation phase of the array elements; The divergence gain of the diffraction wave intensity is constructed based on the excitation phase; Based on the divergence gain and magnetic field fluctuations, the diffracted wave is determined; The diffracted wave is sent to the shared digital body system.

12. The method according to claim 11, characterized in that, The method further includes: The excitation phase is determined using the fourth formula; The fourth formula is: ;in, The excitation phase, The wave number is obtained by setting a preset operating frequency and wave velocity. The angle difference between the azimuth angle of the preset array element and the direction of the phase distribution center. The radius of the circle in which the array elements are distributed; The divergence gain is determined using the fifth formula; The fifth formula is: ;in, Main lobe gain The angle between the centers of the main lobe and the side lobes σ is the main lobe divergence angle, σ is the control beamwidth constraint value, and σ is used to characterize the antenna direction and gain as the angle changes.

13. The method according to claim 11, characterized in that, The method further includes: The base station receives the flattened wave, which is the flattened wave of the low diffraction interference wave scattered by the shared digital body system and the communication wave of the ground radar; the low diffraction interference wave is provided with a chaotic parameter; the chaotic parameter is used to prevent the communication wave and the low diffraction interference wave from being completely flattened. The native digital body system corresponding to the base station optimizes the decision-making process in the native digital body system based on the smoothed wave.

14. A decision result generation device, characterized in that, include: A receiving module is used to receive diffracted waves transmitted by each of at least two base stations and to isolate the diffracted waves; the isolation process is used to reduce the influence of weak phase waves, which are waves generated when the diffracted waves are transmitted back; a shared digital body system is used to optimize the decisions in the native digital body systems corresponding to each base station; the diffracted waves are used to determine the environment in which the base station is located. The first determining module is used to determine the decision result for each base station based on the isolated diffracted wave. The decision result includes: the form of the diffracted wave sent by each base station and the signal coverage range controlled by the native digital body system corresponding to each base station.

15. A decision result generation device, characterized in that, include: The first building module is used to build the excitation phase of the array elements; The second construction module is used to construct the divergence gain of the diffraction wave intensity based on the excitation phase; The first determining module is used to determine the diffracted wave based on the divergence gain and magnetic field fluctuation; The transmitting module is used to send diffracted waves to the shared digital body system.

16. An electronic device, characterized in that, include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the steps in the decision result generation method as claimed in any one of claims 1 to 10, and the steps in the decision result generation method as claimed in any one of claims 11 to 13.

17. A computer-readable storage medium for storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps in the decision result generation method as described in any one of claims 1 to 10, and the steps in the decision result generation method as described in any one of claims 11 to 13.

18. A computer program product, characterized in that, It includes computer instructions that, when executed by a processor, implement the steps in the decision result generation method as claimed in any one of claims 1 to 10, and the steps in the decision result generation method as claimed in any one of claims 11 to 13.

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