A radio frequency microwave signal intelligent beamforming modulation system

Abstract

The present application relates to the technical field of signal modulation, in particular to a kind of radio frequency microwave signal intelligent beam forming modulation system, system includes trajectory extraction module, interference reduction module, harmonic screening module, frequency point planning module, output control module.In the present application, by using the main peak frequency in the frequency spectrum and power response diagram and the direction continuity on time dimension, the leading frequency spectrum trajectory is constructed for modulation direction selection, by eliminating the response path deviating from the direction trajectory and generating frequency drift difference, the power diffusion range of non-target channel is compressed and the angle distribution of interference spectrum is limited, the harmonic frequency point generating power enhancement in the direction interference area is screened out, the local oscillator frequency point set consistent with the direction of leading trajectory is retained, the spectral energy focusing of modulation signal in target direction is realized, the beam modulation sequence of spectral jump stability and energy focusing characteristics is constructed, and the spatial focusing modulation capability of radio frequency microwave signal in complex interference environment is realized.

Description

Technical Field

[0001] This invention relates to the field of signal modulation technology, and in particular to an intelligent beamforming modulation system for radio frequency microwave signals. Background Technology

[0002] Signal modulation technology involves loading data information onto carrier signals in a specific way to achieve information transmission. It is a core component of communication systems, primarily encompassing carrier selection, modulation type selection, and modulation parameter control. It is widely used in wireless communication, wired communication, satellite communication, and radar systems. In this field, modulation methods can be categorized into amplitude modulation, frequency modulation, phase modulation, and combinations such as orthogonal amplitude modulation and orthogonal frequency division multiplexing. The selection of different modulation methods depends on factors such as channel characteristics, signal-to-noise ratio requirements, and system capacity targets. To improve spectrum utilization and anti-interference capabilities, this field also includes adaptive modulation technology, spatial modulation technology, and their application extensions in high-frequency bands, especially microwave radio frequency bands. The technical aspects involved include modulation waveform design, carrier phase control, and spectrum allocation optimization. Traditional radio frequency microwave signal beamforming modulation systems refer to the use of static or preset array control strategies to control the directionality of radio frequency signals, and the use of fixed modulation methods during signal transmission or reception to achieve communication under specific channel conditions. Faced with high-frequency multipath propagation and dynamic environmental changes, such systems employ array weighted calculation, fixed amplitude and phase control, and preset codebook matching to adjust the beam direction. The modulation method relies on static QAM modulation or OFDM modulation based on fixed rules. They cannot dynamically adjust the beamforming logic according to environmental changes, and lack a coordinated control mechanism with spatial selectivity during signal modulation, making it difficult to balance signal directivity and modulation efficiency.

[0003] Existing technologies rely on static array control strategies for beam adjustment and pre-defined codebook matching methods. They lack real-time monitoring of spectral direction changes and dynamic dominant trajectory identification, resulting in the inability to promptly correct beam direction when spatial targets undergo directional transitions or spectral peak drift. When using fixed amplitude and phase weight control, they fail to identify frequency drift characteristics of interference directions, leading to ineffective suppression of interference channel signals. Furthermore, they do not perform directional analysis on harmonic interference frequencies during frequency selection, posing a risk of passively avoiding interference frequencies while ignoring the target direction. During the modulation stage, they fail to establish a cooperative relationship between frequency jump paths and spatial response directions, making it impossible to form a modulation structure with directional directionality and frequency hopping continuity, thus affecting the maintenance of beam accuracy in high-frequency dynamic environments. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the existing technology and propose an intelligent beamforming modulation system for radio frequency microwave signals.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a smart beamforming modulation system for radio frequency microwave signals includes:

[0006] The trajectory extraction module obtains the spectrum and power response diagram corresponding to the spatial direction channel of the radio frequency microwave signal, performs time slicing on the spectrum, extracts the direction channel where the main peak frequency is located in the slice, obtains the main peak frequency point and records the direction and time position, and generates a set of spectrum trajectories of the dominant direction.

[0007] The interference reduction module uses the dominant directional spectrum trajectory set to extract the main peak frequency and drift trend of non-dominant channels in the time slice, calls the frequency drift direction of the dominant trajectory as a comparison benchmark, extracts channels whose offset direction is greater than the set offset threshold, and generates a directional interference suppression channel map.

[0008] The harmonic filtering module uses the directional interference suppression channel spectrum to obtain the spectral response data corresponding to the candidate resonant frequency points, extracts the main frequency position of the frequency point and the power response value of the adjacent harmonic frequency points, determines whether the frequency point generates power resonance, and generates a response close to the trajectory frequency point spectrum.

[0009] Based on the frequency point map of the response-close trajectory, the frequency planning module combines frequency points to construct optional modulation frequency paths, sequentially accumulates the frequency jump values ​​between adjacent frequency points in the path, performs frequency hopping trajectory direction overlap calculation, and generates a set of directional consistent frequency hopping paths.

[0010] As a further embodiment of the present invention, the dominant directional spectrum trajectory set includes a main peak frequency point sequence, a directional channel marker set, time positioning information, and frequency drift consistency labels; the directional interference suppression channel map includes interference direction labeling information, amplitude compression frequency point coordinates, and angle diffusion suppression distribution map; the response proximity trajectory frequency point map includes a main frequency point location set, harmonic interference filtering labels, and directional proximity screening set; and the directional consistency frequency hopping path set includes a frequency hopping trajectory sequence, frequency hopping direction overlap score, and hopping consistency score value.

[0011] As a further aspect of the present invention, the trajectory extraction module includes:

[0012] The spectrum slicing submodule obtains the spectrum and power response diagram corresponding to the spatial directional channel of the radio frequency microwave signal, divides it into equal intervals according to the time axis, and slices the spectrum according to time to obtain the directional channel slice spectrum sequence.

[0013] The main peak channel identification submodule calculates the frequency response value of the directional channel slice by slice based on the directional channel slice spectrum sequence, performs column-by-column peak extraction in the slice, records the directional channel number and frequency value corresponding to the main peak frequency, and summarizes the main peak channel frequency points in the slice to obtain the main peak frequency channel time set.

[0014] The directional trajectory filtering submodule extracts the frequency jump value of adjacent frequency points, the spatial angle difference between directional channel numbers, and the power change amplitude based on the arrangement order of frequency points in the main peak frequency channel time set. It then performs normalization processing on the three types of indicators according to the reference threshold, calculates the trajectory stability evaluation index, filters the directional channel paths that meet the set stability interval, and generates the dominant directional spectrum trajectory set.

[0015] As a further aspect of the present invention, the interference reduction module includes:

[0016] The spectrum trajectory extraction submodule calculates the power peak frequency of the corresponding spectrum data of the dominant channel under the time slice based on the dominant direction spectrum trajectory set, collects the main peak frequency position change data on the time series, establishes the frequency time change sequence, obtains the frequency drift trend, and maps the time change sequence as a frequency change direction reference identifier to generate a frequency drift direction reference sequence.

[0017] The frequency offset channel identification submodule calls the frequency drift direction reference sequence, and based on the main peak frequency sequence extracted from the non-dominant channel in the time slice, compares the change trend with the offset direction of the reference reference point by point, calculates the frequency difference between adjacent time slices, and by judging whether the angle between the offset direction and the reference direction is opposite, counts the number of time segments in which continuous offset occurs, and filters the channels whose offset time sequence length is greater than the set offset threshold time period to obtain the set of channels with abnormal offset direction.

[0018] The amplitude compression submodule extracts the original power response value at the corresponding frequency point in the spectrum based on the frequency trajectory of the abnormal channel set in the offset direction, calculates the compressed power response value, and obtains the directional interference suppression channel spectrum.

[0019] As a further aspect of the present invention, the harmonic filtering module includes:

[0020] The directional channel data receiving submodule extracts spectral response data based on the directional interference suppression channel spectrum, calculates the response spectrum curve of the frequency point in the suppression channel, and obtains the main frequency position of the frequency point and the power response value of the adjacent frequency points to generate a frequency point spectrum response information set.

[0021] The power resonance determination submodule calls the frequency point spectrum response information set, calculates the difference ratio between the power value at the main frequency position of the frequency point and the power response value of the adjacent frequency point, marks the frequency point with the ratio greater than the set power resonance determination threshold as the resonance frequency point, and filters out the power response of the marked frequency point in the suppression channel to obtain the set of non-resonance frequency points.

[0022] The dominant trajectory response extraction submodule analyzes the directional response of the frequency points based on the set of non-resonant frequency points, calculates the angle error between the directional response vector of the frequency point and the dominant directional trajectory, and filters out frequency points with an angle error less than the directional deviation tolerance threshold to obtain a spectrum of frequency points whose directional response closely matches the trajectory.

[0023] As a further aspect of the present invention, the frequency planning module includes:

[0024] The frequency path construction submodule uses the directional response close trajectory frequency point map, and combines frequency points to form multiple selectable modulation frequency paths according to frequency continuity. The frequency points contained in the selectable modulation frequency paths are arranged in ascending order of frequency value to generate a set of modulated frequency path sequences.

[0025] The jump value accumulation submodule calls the modulated frequency path sequence set, performs difference calculation on the frequency values ​​of any adjacent frequency points in the modulated frequency path, and accumulates the difference item by item according to the frequency point order in the path to obtain the path frequency jump cumulative value set.

[0026] The trajectory overlap calculation submodule extracts the angular response position of the intermediate frequency point in the dominant direction of the optional modulation frequency path according to the cumulative value set of path frequency jump, constructs the directional trajectory vector corresponding to the path, and calculates the overlap area ratio with the dominant direction trajectory vector to obtain the path directional trajectory overlap index group.

[0027] The frequency hopping consistency filtering submodule calls the path direction trajectory overlap index group, judges the error range between the overlap index of the modulated frequency path and the set direction consistency benchmark value, filters the path set whose error is within the set tolerance range, and extracts the corresponding frequency path content to obtain the direction consistency frequency hopping path set.

[0028] As a further aspect of the present invention, the system further includes an output control module:

[0029] The output control module sets the excitation timing of the frequency points in the modulation output sequence according to the directional consistency frequency hopping path set, drives the local oscillator signal according to the frequency point path sequence, activates the frequency point output, records the directional response intensity and power expansion trend in the activated direction channel, and compares and calibrates it with the directional interference suppression channel spectrum, completes spectral energy focusing in the output channel, and generates a beamforming modulation pattern.

[0030] The beamforming modulation pattern includes an excitation frequency sequence diagram, a directional response intensity distribution, and a power spread trend calibration diagram.

[0031] As a further aspect of the present invention, the output control module includes:

[0032] The excitation timing configuration submodule, based on the direction-consistent frequency hopping path set, sets the excitation time index in the modulation output sequence for the frequency points according to the order of frequency points in the path, and generates a frequency point excitation timing mapping table.

[0033] The signal driving submodule calls the frequency point excitation timing mapping table, activates the frequency point output sequentially according to the excitation time index, and collects the directional response intensity value and power spread curve during the frequency point activation period in the dominant directional channel to generate a frequency point activation response measurement dataset.

[0034] The energy focusing and calibration submodule compares the energy distribution profile of the frequency point in the directional interference suppression channel spectrum with the frequency point activation response measurement dataset, calculates the difference between the real-time output power and the power response of the frequency point, identifies the directional response intensity distribution, superimposes the energy of the output channel frequency point, and obtains the beamforming modulation pattern.

[0035] As a further aspect of the present invention, based on the directional consistent frequency hopping path set, according to the order of frequency points in the path, an excitation time index in the modulation output sequence is set for the frequency points to generate a frequency point excitation timing mapping table.

[0036] The process of setting the excitation time index in the frequency point modulation output sequence includes: for paths in the direction-consistent frequency hopping path set where the frequency interval between adjacent frequency points is not less than 200kHz, setting no less than two excitation time index intervals between adjacent frequency points.

[0037] For paths in the directional consistent frequency hopping path set where the frequency interval between adjacent frequency points is less than 200kHz but not less than 100kHz, an excitation time index interval is set between adjacent frequency points.

[0038] For paths in the directional consistent frequency hopping path set where the frequency interval between adjacent frequency points is less than 100kHz, a continuous excitation time index is assigned.

[0039] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0040] In this invention, the dominant spectral trajectory is constructed for modulation direction selection by utilizing the main peak frequency and directional continuity in the time dimension of the spectrum and power response diagram. Response paths that deviate from the directional trajectory and produce frequency drift differences are eliminated, compressing the power diffusion range of non-target channels and limiting the angular distribution of the interference spectrum. Harmonic frequency points that generate power enhancement in the directional interference region are screened out, and the set of local oscillator frequency points consistent with the dominant trajectory direction is retained. When constructing the frequency jump path, the path selection is combined with the degree of overlap of the directional responses between frequency points. During modulation output, the frequency response intensity is compared with the interference spectrum to achieve spectral energy focusing of the modulated signal in the target direction. This effectively constructs a beam modulation sequence with directional consistency, spectral jump stability, and energy focusing characteristics, realizing the spatial focusing modulation capability of radio frequency microwave signals in complex interference environments. Attached Figure Description

[0041] Figure 1 This is a system flowchart of the present invention;

[0042] Figure 2 This is a flowchart of the trajectory extraction module in this invention;

[0043] Figure 3 This is a flowchart of the interference reduction module in this invention;

[0044] Figure 4 This is a flowchart of the harmonic filtering module in this invention;

[0045] Figure 5 This is a flowchart of the frequency point planning module of the present invention;

[0046] Figure 6 This is a flowchart of the output control module in this invention. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0048] In the description of this invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, in the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0049] Please see Figure 1 A smart beamforming modulation system for radio frequency microwave signals includes:

[0050] The trajectory extraction module obtains the spectrum and power response diagram corresponding to the spatial direction channel of the radio frequency microwave signal, performs time slicing on the spectrum, extracts the direction channel where the main peak frequency is located in the slice, obtains the main peak frequency point and records the direction and time position, calls the frequency drift amplitude and direction consistency index of adjacent frequency points, filters the trajectory path with stable frequency and continuous direction, marks the direction channel and sets it as the modulation focusing direction, and generates the dominant direction spectrum trajectory set.

[0051] The interference reduction module uses the dominant directional spectrum trajectory set to extract the main peak frequency and drift trend of non-dominant channels in the time slice. It uses the frequency drift direction of the dominant trajectory as a comparison benchmark to extract channels whose offset direction is greater than the set offset threshold. At the corresponding frequency point in the spectrum, the power response value is subjected to amplitude compression processing, and the angle diffusion distribution of the suppressed interference energy is adjusted to generate a directional interference suppression channel spectrum.

[0052] The harmonic filtering module uses the directional interference suppression channel spectrum to obtain the spectral response data corresponding to the candidate resonant frequency points, extracts the dominant frequency position of the frequency point and the power response value of the adjacent harmonic frequency points, determines whether the frequency point generates power resonance, filters out the frequency points that form energy response in the suppression channel, and retains the set of frequency points whose directional response is close to the dominant trajectory among the remaining frequency points, generating a frequency point spectrum with response close to the trajectory.

[0053] The frequency planning module is based on the frequency point map of the response close to the trajectory. It combines frequency points to construct optional modulation frequency paths. In the path, the frequency jump values ​​between adjacent frequency points are sequentially accumulated. Combined with the angular response position of the frequency points in the dominant direction, the overlap of the frequency hopping trajectory direction is calculated. The frequency point paths with the same overlap with the dominant direction trajectory are selected to generate a set of directional consistent frequency hopping paths.

[0054] The output control module sets the excitation timing of the frequency points in the modulation output sequence according to the directional consistency frequency hopping path set, drives the local oscillator signal according to the frequency point path order, activates the frequency point output, records the directional response intensity and power expansion trend during activation in the dominant directional channel, and compares and calibrates it with the directional interference suppression channel spectrum. It completes spectral energy focusing in the output channel to generate a beamforming modulation pattern.

[0055] The dominant directional spectrum trajectory set includes the main peak frequency point sequence, directional channel marker set, time positioning information, and frequency drift consistency label. The directional interference suppression channel map includes interference direction labeling information, amplitude compression frequency point coordinates, and angle diffusion suppression distribution map. The response proximity trajectory frequency point map includes the main frequency point location set, harmonic interference filtering label, and directional proximity screening set. The directional consistency frequency hopping path set includes the frequency hopping trajectory sequence, frequency hopping direction overlap score, and hopping consistency score value. The beamforming modulation pattern includes the excitation frequency point sequence map, directional response intensity distribution, and power spread trend calibration map.

[0056] Please see Figure 2 The trajectory extraction module includes:

[0057] The spectrum slicing submodule obtains the spectrum and power response diagram corresponding to the spatial directional channel of the radio frequency microwave signal, divides it into equal intervals according to the time axis, and slices the spectrum according to time to obtain the directional channel slice spectrum sequence.

[0058] By setting time axis segmentation parameters, continuously acquired spectral data is divided into multiple time segments at equal intervals along the time dimension. Each time segment is set to Δt=0.1s, indicating that spectral information is extracted every 0.1 seconds. Based on the set number of spatial directional channels N=8, corresponding to directions of 0°, 45°, 90°, 135°, 180°, 225°, 270°, and 315°, the original spectral image in each time segment is segmented according to the distribution pattern of the directional channels, and the spectral curve on each directional channel is extracted. The directional channel segmentation process... In this method, the beam pointing data collected by the antenna array is mapped by directional angle. The antenna array is set to number k, and the beam angle mapping is θ(k)=45k°. Then the directional channel with k=2 corresponds to an angle of 90°. The spectrum curve of each directional channel is retained as a frequency-power two-dimensional matrix according to the frequency dimension. Each row represents a frequency point, and each column represents the power response value of the same frequency in different time slots, forming a spectrum time series matrix. Any element in the matrix represents the power response value of a certain directional channel at a certain frequency point in a certain time slot, thus obtaining the directional channel segmented spectrum sequence.

[0059] The main peak channel identification submodule calculates the frequency response value of the directional channel slice by slice based on the spectral sequence of the directional channel slice, extracts the peak value by column in the slice, records the directional channel number and frequency value corresponding to the main peak frequency, and summarizes the main peak channel frequency points in the slice to obtain the main peak frequency channel time set.

[0060] The spectral response curves of the directional channel in each time slot are scanned frame by frame. Within the frequency range of 2GHz to 4GHz, the frequency point with the highest power value in the spectral response curve of each time slot is calculated and recorded as the main peak frequency. If, in a certain time slot t=0.3s, the spectral response function of a certain directional channel is P(f)=[-92, -90, -85, -83, -78, -80, -84]dBm, and the corresponding frequency point is f=[2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7]GHz, then the maximum power occurs at f=2.5GHz, with a corresponding power value of -78dBm. This frequency point is recorded as the directional channel in the current time slot. The peak frequency value of the channel is obtained by traversing the time slices to obtain the peak frequency of the directional channel over time. For the directional channel, the frequency with the most occurrences of the peak frequency point in the time slice is counted as the peak frequency of the channel. The channel frequency value is determined by the histogram statistical method, with the frequency grouping interval set to Δf=0.05GHz. The frequency range with the most occurrences within the frequency band is counted. For example, in the directional channel at a 90° angle, the 2.45GHz band appears 12 times, the 2.50GHz band appears 23 times, and the 2.55GHz band appears 7 times. Therefore, the peak frequency of the directional channel is 2.50GHz. The peak frequencies of the corresponding directional channels are summarized with time points to obtain the peak frequency channel time set.

[0061] The directional trajectory filtering submodule extracts the frequency jump values ​​of adjacent frequency points, the spatial angle difference between directional channel numbers, and the power change amplitude based on the arrangement order of frequency points in the main peak frequency channel time set. It then performs normalization processing on these three types of indicators according to reference thresholds, using the following formula:

[0062] ;

[0063] Calculate trajectory stability evaluation index, screen directional channel paths that meet the set stability range, and generate a set of dominant directional spectrum trajectories;

[0064] in, This represents the trajectory stability evaluation index. Indicates the first The main peak frequency value of each time slice. Indicates the first The main peak frequency value of each time slice. This represents the spatial angle difference between the directional channels corresponding to adjacent main peak frequencies. This indicates the amplitude of the power jump in the frequency response. Indicates the frequency drift reference threshold. Indicates the reference threshold for angle difference. Indicates the power transition reference threshold. Indicates the number of slices;

[0065] Formula calculation logic: Based on the standardized differences of the main peak frequency, direction angle, and power changes in each time slice of the time series, by traversing... Construct a continuous difference set for each time slice, and then sequentially process adjacent time slices. and The difference in main peak frequency between , angle difference and power jump value Perform the calculations and divide by the corresponding reference standard values. , , After normalization, the variation magnitudes of each term under the same dimensions are obtained. The sum of the above three normalization indices is used as the single-step stability index for each time slice. The data from adjacent time slices are averaged to form a quantitative index of the overall trajectory stability. The closer the value is to 0, the smaller the change and the more stable the trajectory. Taking the absolute value of all differences in the calculation is to avoid misjudgment of the cancellation of changes in different directions, so that each change item is accumulated and included in the total index, ensuring that the results cover the influencing factors.

[0066] The trajectory stability evaluation index is used to quantify the degree of change of the main peak frequency, directional angle and power of the directional channel in a continuous time slice. The index reflects whether the directional channel trajectory is stable and consistent by normalizing the three types of change values ​​and averaging them. The smaller the value, the smaller the change of the directional trajectory and the higher the channel stability.

[0067] Parameter description and acquisition method:

[0068] : Indicates the number of time slices, where n=5 is set in the sampled data;

[0069] , : respectively represent the first The and the first The main peak frequency value of each time slice, in GHz, is extracted from the main peak in the spectrum sequence.

[0070] : Represents the spatial angle difference between the directional channels corresponding to adjacent main peak frequency channels, in degrees, obtained by multiplying the difference in directional number by the directional angular resolution;

[0071] : Indicates the power variation corresponding to the frequency, in dB;

[0072] GHz °、 dB, as a standardized reference value for frequency, angle, and power variations, is set based on the average value of statistical data or a range given in the technical specifications. The reason for setting it is to facilitate normalization and reduce the influence of different dimensions.

[0073] The frequency jump amplitude is calculated by the difference in the main peak frequency between two consecutive time slots. The frequency sequence is set to f = [2.3, 2.35, 2.5, 2.6, 2.55] GHz, with frequency jumps of 0.05 GHz, 0.15 GHz, 0.10 GHz, and -0.05 GHz respectively. The absolute value is then taken to obtain |Δf| = [0.05, 0.15, 0.10, 0.05] GHz. The spatial angle difference is calculated by obtaining the spatial direction angle corresponding to the direction channel number of adjacent time slots. The direction number is set to θ = [45°, 90°, 135°, 135°, 90°]. If 0°], then the directional angle jump value Δθ = [45°, 45°, 0°, 45°]. The power change amplitude is taken as the reference value of the main peak power difference between adjacent time slices. The power value is set as [-80, -78, -81, -83, -82] dBm, corresponding to ΔP = [2, -3, -2, 1] dB. The absolute value is taken to obtain |ΔP| = [2, 3, 2, 1] dB. After standardization, it is divided by its respective reference values ​​fref = 2.5 GHz, θref = 90°, and pref = 3 dB, and then normalized and summed. The trajectory stability evaluation index TD is calculated by the formula.

[0074] Actual example:

[0075] Based on sampled data:

[0076] ;

[0077] ;

[0078] ;

[0079] Calculate the difference:

[0080] ;

[0081] ;

[0082] ;

[0083] Normalized calculation:

[0084] ;

[0085] ;

[0086] ;

[0087] The summation of the terms is as follows:

[0088] Sum of each item:

[0089] ;

[0090] Summing and dividing by :

[0091] ;

[0092] The results indicate that the trajectory stability evaluation index is 1.0767, meaning that the changes in the main peak frequency, spatial angle, and power value of the directional channel are generally stable throughout the continuous time slice, and the normalized values ​​are... If the value is lower than the set threshold of 1.5, it indicates that the channel trajectory has high stability and can be used as one of the reference channels for subsequent directional trajectory selection.

[0093] Table 1: Frequency and Variation Data of Main Peak in Directional Channels

[0094] ;

[0095] Table 1 lists the main peak frequency, direction angle, and power value of each time slice extracted from the original spectrum, as well as the changes between adjacent time slices. The data is used to calculate the trajectory stability index TD.

[0096] Please see Figure 3 The interference reduction module includes:

[0097] The spectrum trajectory extraction submodule calculates the power peak frequency of the dominant channel in the time slice based on the dominant direction spectrum trajectory set, collects the main peak frequency position change data in the time series, establishes the frequency time change series, obtains the frequency drift trend, and maps the time change series as a frequency change direction reference identifier to generate a frequency drift direction benchmark sequence.

[0098] The peak power frequency of the dominant directional channel in each time slice is obtained. The peak frequency values ​​identified in each time slice are arranged in chronological order to form a frequency change sequence. For example, if the time slice interval is 0.1 seconds and the number of sampling points is n=5, the corresponding peak frequency sequence is f=[2.35, 2.4, 2.45, 2.5, 2.55] GHz. The slope of the difference between any two adjacent points in the frequency sequence is calculated. The slope sk=(f{k+1}-fk) / Δt is defined. The calculation result is [0.5, 0.5, 0.5, 0.5] GHz / s, which means that the frequency is rising at a stable rate. The frequency change sequence is represented as a frequency drift trend sequence. If the channel number is channel ID=3 and the corresponding directional angle is θ=90°, the frequency drift direction is marked as a positive migration. The frequency drift trend of channel 3 is used as a reference and recorded as a frequency drift direction reference sequence to generate a frequency drift direction reference sequence.

[0099] The frequency offset channel identification submodule calls the frequency drift direction reference sequence. Based on the main peak frequency sequence extracted from the time slice of the non-dominant channel, it compares the change trend with the offset direction of the reference reference point by point, calculates the frequency difference between adjacent time slices, and counts the number of time segments in which continuous offset occurs by judging whether the angle between the offset direction and the reference direction is opposite. It then filters the channels whose offset time sequence length is greater than the set offset threshold time period to obtain the set of channels with abnormal offset direction.

[0100] For each time slice in the non-dominant channel, the main peak frequency is extracted to form a channel frequency sequence. Then, the frequency offset difference sequence is obtained by subtracting the frequency sequence of each non-dominant channel from the reference sequence of the dominant channel. In the calculation, the main peak frequency sequence of the reference channel is f_ref=[2.35, 2.4, 2.45, 2.5, 2.55] GHz, and the main peak frequency sequence of non-dominant channel 1 is f_1=[2.3, 2.35, 2.5, 2.55, 2.6] GHz. Then the offset difference is Δf=[-0.05, -0.05, 0.05, 0.05, 0.05] GHz. By comparing the trend of the difference between adjacent time slices, it is determined whether the offset direction always remains consistent with the reference direction. The direction is consistent. Here, the last 3 terms of the sequence are in the same direction, and the first 2 terms are in the opposite direction. Then, the length of the positive offset duration is calculated as 3 × 0.1 = 0.3s. If the offset threshold duration is set to 0.2s, then the channel offset time is determined to be greater than the threshold, and it can be classified as an abnormal offset channel. Taking channel 2 as an example, the frequency sequence is f2 = [2.4, 2.42, 2.45, 2.48, 2.5] GHz, and the difference from the reference sequence is Δf = [0.05, 0.02, 0, -0.02, -0.05] GHz. The direction changes repeatedly, so it is judged to be a non-abnormal channel. Channels that meet the condition that the continuous offset time period is greater than the set threshold are selected and recorded as the abnormal channel set Q = {1}, thus obtaining the abnormal offset channel set.

[0101] The amplitude compression submodule extracts the raw power response value at the corresponding frequency point in the spectrum based on the frequency trajectory of the abnormal channel concentration in the offset direction, using the formula:

[0102] ;

[0103] Calculate the compressed power response value to obtain the directional interference suppression channel map;

[0104] in, This represents the power response value after compression. This represents the raw power response value at the center frequency of the abnormal channel. Indicates the first The ratio of the frequency drift amplitude of each channel to the center frequency, Indicates the first Energy peak values ​​of abnormal channels Indicates the first The directional diffusion factor of each channel, This represents the total number of abnormal channels.

[0105] Formula calculation logic: Based on the amplitude adjustment of the power value of the abnormal channel at the center frequency, the frequency drift amplitude of each abnormal channel is calculated. Energy peak directional diffusion factor The ratios of the corresponding products and the total diffusion value are normalized. The normalized ratio reflects the relative strength between the frequency shift of the anomalous channel and its energy contribution. This ratio is then multiplied by the original power response of the channel. The adjusted weights are obtained and the overall compressed output is performed in the form of square root. The process uses square root nonlinear mapping to effectively enhance the power of channels with large drift but high energy peaks, while suppressing the interference of channels with large directional diffusion factors on the results, ensuring that the response value reflects the actual shift contribution. The whole process is based on linear-nonlinear joint transformation and completes information redistribution according to the weighted average idea, ensuring that the compressed response has fairness and physical rationality among different abnormal channels, and can reflect the degree of influence of the real spectrum change.

[0106] The compressed power response value reflects the center frequency power of the abnormal channel after correction under the influence of spectral shift and energy peak. It is obtained by normalization weighting, taking into account three factors: frequency drift amplitude, energy intensity and directional spread. The larger the value, the stronger the energy contribution and directional stability of the channel in spectral drift.

[0107] Parameter description:

[0108] : Indicates the power response after amplitude compression;

[0109] : Raw power response at the center frequency of the abnormal channel, in dBm;

[0110] : No. Frequency drift amplitude of each abnormal channel, in GHz;

[0111] : No. The peak energy of each abnormal channel, in dB;

[0112] : No. Directional diffusion factor of each abnormal channel, unitless;

[0113] : Number of abnormal channels, Q=3 here;

[0114] Extract the raw power response value of each channel at the corresponding main peak frequency position in the spectrum from the abnormal channels, and denot it as . Let the power response at the center frequency of channel 1 be... dBm, frequency drift amplitude sequence set to GHz, corresponding to peak energy dB, directional diffusion factor is (Unit: degrees of orientation) Substitute into the formula to calculate the power response after compression;

[0115] Formula calculation process:

[0116] set up: dBm (i.e.) mW provides an understanding of the order of magnitude for subsequent derivations.

[0117] ;

[0118] ;

[0119] but:

[0120] ;

[0121] Because a negative value is present, the square root requirement is not met, therefore it is necessary to first... Convert the absolute value to a linear power value, then use logarithmic restoration:

[0122] ;

[0123] Substitute into the correction formula:

[0124] ;

[0125] Converting back to dBm means:

[0126] ;

[0127] The result shows that the compressed power response value is -41.25, indicating that after amplitude compression, the center frequency power of the abnormal channel decreased from the original value. dBm increased to dBm;

[0128] Table 2: Abnormal Channel Amplitude Compression Parameters Table

[0129] ;

[0130] Table 2 shows the main parameters and results of the abnormal channel before and after frequency drift amplitude compression processing. The numerical calculations were strictly performed according to the formula to ensure the reproducibility of the results.

[0131] Please see Figure 4 The harmonic filtering module includes:

[0132] The directional channel data receiving submodule extracts spectral response data based on the directional interference suppression channel spectrum, calculates the response spectrum curve of the frequency point in the suppression channel, and obtains the dominant frequency position of the frequency point and the power response value of the adjacent frequency points to generate a frequency point spectrum response information set.

[0133] The system identifies a set of candidate resonant frequency points stored in the spectrum. In practice, the spectrum originates from the directional interference suppression processing results of multi-element receivers within a specific time window. Each frequency point in the set corresponds to a set of directional response data under a suppression channel. The system extracts multiple frequency points within the carrier frequency range in fixed steps, such as dividing the range from 2.0 GHz to 3.0 GHz in 1 MHz steps, obtaining 1000 candidate frequency points. For each frequency point, the system reads the power response value in each observation direction from the spectrum and reconstructs the spectral response curve of the frequency point. The spectral response curve corresponds to the power change function trend on the frequency axis. For the response curve of each frequency point, the system extracts... The dominant frequency position corresponding to the power peak in the response curve is selected, which is the position where the frequency point has the strongest response in the suppression channel. The power response values ​​of two adjacent frequency points are extracted at the frequency positions above and below the dominant frequency point to form a power comparison structure of the local frequency band. If the dominant frequency point is set to 2.45GHz, the power responses of the 2.44GHz and 2.46GHz frequency points are extracted as comparison values. The response data not only reflects the power peak characteristics of the frequency point itself, but also records the response gradient of adjacent frequency points, providing a calculation basis for resonance determination. The dominant frequency position of the frequency point and the power response values ​​of adjacent frequency points are organized into a structured information set to generate a frequency point spectrum response information set.

[0134] The power resonance determination submodule calls the frequency point spectrum response information set, calculates the difference ratio between the power value at the main frequency position of the frequency point and the power response value of the adjacent frequency point, marks the frequency point with the ratio greater than the set power resonance determination threshold as the resonance frequency point, and filters out the power response of the marked frequency point in the suppression channel to obtain the set of non-resonance frequency points.

[0135] The system calculates the difference between the dominant frequency power value and the power response values ​​of adjacent frequency points for each frequency point. This process can be understood as identifying abnormally prominent resonant points by observing whether the dominant frequency power is significantly higher than the response values ​​of adjacent frequency points. In application, taking the 2.45GHz frequency point as an example, if the power of this frequency point is -60dBm, while the power of the adjacent 2.44GHz and 2.46GHz frequency points are -72dBm and -70dBm respectively, it indicates that this frequency point has outstanding power performance in a local frequency band. The system will then statistically analyze similar differences between these frequency points. The system compares the results with the set power resonance threshold, which can be set based on empirical data. For example, it can select the normal response frequency points collected by the system in the past as the benchmark, count the difference range between the main frequency and the adjacent frequency, and set the deviation value as the identification threshold. When the difference between the power of the main frequency point and the average power of the adjacent frequency points exceeds this threshold, it is marked as a resonance frequency point. If the difference exceeds 10dB, it is judged as abnormal. After the frequency points are judged, the system automatically removes the marked resonance frequency points and retains the set of frequency points that do not produce resonance response, thus obtaining the set of non-resonance frequency points.

[0136] The dominant trajectory response extraction submodule analyzes the directional response of frequency points based on the set of non-resonant frequency points, calculates the angle error between the directional response vector of the frequency point and the dominant directional trajectory, and filters out frequency points with an angle error less than the directional deviation tolerance threshold to obtain a spectrum of frequency points whose directional response is close to the trajectory.

[0137] The directional response of a frequency point is analyzed at multiple directional angles. This process is achieved by sampling data at different directional angles using an antenna array. The system is set to collect directional response power every 5 degrees, covering 25 directional angles from -60 degrees to +60 degrees. The response power of each frequency point at each directional angle is arranged to construct a directional response vector. This vector is compared with the response vector of the dominant directional trajectory set by the system. The dominant trajectory is derived from the average of long-term measurement results and represents the directional response pattern of the frequency point under ideal conditions. By calculating the angle error between the two vectors, it can be determined whether the current frequency point is distributed along the dominant direction. If the error is small, it means that the directional response trend of the frequency point is consistent with the expected direction. If the error exceeds the directional deviation tolerance threshold, it is considered to deviate from the main trajectory and is not adopted. The tolerance threshold can be set by statistically analyzing the offset range of the responses of multiple known main trajectory frequency points. It is set to 15 degrees. When the angle between the directional response of a frequency point and the dominant trajectory is less than this value, the frequency points whose directional responses are close to the dominant trajectory are selected from the set of non-resonant frequency points, and a spectrum of directional response close to the trajectory frequency points is obtained.

[0138] Please see Figure 5 The frequency planning module includes:

[0139] The frequency path construction submodule uses a directional response close to the trajectory frequency point map. Based on frequency continuity, it combines frequency points to form multiple selectable modulation frequency paths and arranges the frequency points contained in the selectable modulation frequency paths in ascending order of frequency value to generate a set of modulated frequency path sequences.

[0140] The system uses a frequency point map of directional response close to the trajectory as input data. The map contains several frequency points that have been filtered by direction. These frequency points have the main trajectory close-fitting characteristics of the directional response. In actual implementation, the system can select a frequency step range of 1MHz, sort the frequency points in the map according to their frequency values, and divide them into several consecutive segments with adjacent frequencies. If there is a set of frequency points of 2.410GHz, 2.411GHz, 2.412GHz, 2.414GHz, and 2.415GHz, they can be combined into two initial frequency paths, namely 2.410–2.412GHz and 2.414–2.415GHz. The combination logic follows the principle that the maximum frequency hopping step size between frequency points does not exceed 2MHz to control the smoothness of frequency switching. The resulting frequency point sequence is reordered according to the frequency value from smallest to largest to form a strictly monotonically increasing frequency path. The order of frequency points in each path is checked and confirmed by logic to avoid abnormal arrangements such as back jumps and frequency repetitions, generating a set of modulated frequency path sequences.

[0141] The jump value accumulation submodule calls the modulated frequency path sequence set, performs difference calculation on the frequency values ​​of any adjacent frequency points in the modulated frequency path, and accumulates the difference item by item according to the frequency point order in the path to obtain the path frequency jump cumulative value set.

[0142] For each frequency path, the frequency difference between adjacent frequency points is calculated. This operation measures the frequency hop intensity distribution characteristics within the path. During execution, for each path, starting from the first frequency point, the frequency difference between the current frequency point and the previous frequency point is calculated one by one. If the paths are set to 2.410GHz, 2.411GHz, and 2.412GHz, the difference sequence is 1MHz, 1MHz. The system calculates the difference sequentially according to the frequency point order and accumulates the differences sequentially to form the cumulative frequency hop value. If there are discontinuous frequency hop points, such as in the path 2.410GHz, ... For 2.411GHz and 2.414GHz, the difference is 1MHz and 3MHz respectively, and the cumulative jump value is 4MHz. The system will record the sum of the cumulative frequency jump values ​​of each path as an indicator of frequency stability within the path. The system can also be extended to construct a jump trend curve, that is, record the distribution trend of the jump accumulation process within the path, which is used to observe whether the jump intensity is concentrated or uniform. The jump value record will provide path change rate characteristic information for calculating the angle response matching degree between the path and the direction trajectory. The cumulative frequency jump values ​​of the path are summarized to obtain the cumulative set of path frequency jump values.

[0143] The trajectory overlap calculation submodule extracts the angular response position of the mid-frequency point in the dominant direction of the optional modulation frequency path based on the cumulative value set of path frequency jumps, constructs the directional trajectory vector corresponding to the path, and calculates the overlap area ratio with the dominant direction trajectory vector to obtain the path directional trajectory overlap index group.

[0144] The directional response positions of the frequency points contained in each frequency path are extracted to construct the actual response trajectory of the path direction change. The directional response positions are derived from the angle response measurement results of each frequency point in the initial spectrum. The path is set to contain three frequency points: 2.410 GHz, 2.411 GHz, and 2.412 GHz, with directional response angles of -15 degrees, -10 degrees, and -5 degrees, respectively. The system arranges the angle values ​​in frequency order to form a path directional response trajectory sequence, which is compared with the system's preset dominant directional trajectory. The dominant trajectory is derived from the prediction record of the signal source direction change under the static communication model. The system comparison method can be based on the directional coverage overlap rate. The path trajectory is represented as discrete line segments on the direction axis, and the overlap area of ​​the corresponding line segments of the dominant trajectory is measured to calculate the trajectory overlap degree between the two, which is represented as the degree of intersection between the two directional distributions. The larger the overlap area, the closer the path is to the dominant directional distribution. The system records the directional trajectory overlap area of ​​each path as a numerical index and outputs it uniformly as a path directional trajectory overlap index group, thus obtaining the path directional trajectory overlap index group.

[0145] The frequency hopping consistency filtering submodule calls the path direction trajectory overlap index group, judges the error range between the overlap index of the modulated frequency path and the set direction consistency benchmark value, filters the path set whose error is within the set tolerance range, and extracts the corresponding frequency path content to obtain the direction consistency frequency hopping path set.

[0146] The system calculates the difference between the overlap value of each path and the preset directional consistency benchmark value and judges the error. The benchmark value can be set based on the directional matching result. Setting it to 0.85 means that the path directional trajectory should overlap with the dominant trajectory by more than 85%. The system evaluates the overlap index of each path and judges whether it falls within the error tolerance range. If the tolerance range is set to ±0.05, the actual overlap allowed is between 0.80 and 0.90. Paths that exceed this range are eliminated, and the set of paths that meet the directional consistency is retained. The system extracts the frequency point sequence of the path as an executable modulation frequency hopping path, forming a data source for directional controllable frequency hopping operation. Combining the frequency change stability of the path itself and the directional trajectory matching characteristics, the system obtains the directional consistency frequency hopping path set.

[0147] Please see Figure 6 The output control module includes:

[0148] The excitation timing configuration submodule, based on the direction-consistent frequency hopping path set, sets the excitation time index in the modulation output sequence for the frequency points according to the order of the frequency points in the path, and generates a frequency point excitation timing mapping table.

[0149] The frequency points within the path are numbered sequentially according to their natural arrangement within the path, and a corresponding excitation time index is assigned to each frequency point based on the numbering result. The time index determines the output time window position of each frequency point in the modulation output sequence. In actual implementation, the system can set the modulation period to a fixed length, such as each frequency point excitation lasting 10 milliseconds, and the excitation time index starts from 0 and increments. If the path includes 10 frequency points, the corresponding excitation indices are 0 to 9, corresponding to 10 modulation windows in sequence. For the sequence composed of paths 2.410GHz, 2.411GHz, and 2.412GHz, the system will map them to indices 0, 1, and 2, corresponding to the first, second, and third modulation time slots, respectively. The excitation time index information and the corresponding frequency points are linked one-to-one to establish an index mapping relationship. The control parameters such as frequency point number, frequency value, excitation time start and end boundaries, and time index are recorded to form a scheduling template that can be used in the modulation control process, serving as the timing input for the drive operation and generating a frequency point excitation timing mapping table.

[0150] The signal driving submodule calls the frequency point excitation timing mapping table, activates the frequency point output sequentially according to the excitation time index, and collects the directional response intensity value and power spread curve during the frequency point activation period in the dominant directional channel to generate a frequency point activation response measurement dataset.

[0151] According to the excitation time index corresponding to each frequency point, the parameters of the local oscillator signal generator are retrieved from the modulation controller and the frequency point signal is driven to output. The execution order corresponds one-to-one with the excitation time index. The control logic ensures that the signal generator activates only one corresponding frequency point within each index time window. In practical applications, the system completes frequency modulation output through the digital local oscillator module, loads the frequency point driving signal to the antenna transmission channel, and simultaneously uses the receiving array in the dominant directional channel to collect the activation response of the corresponding frequency point in real time. The collected data includes the directional response intensity value and power spread curve during the activation period of the frequency point. The directional response intensity value corresponds to the average power received in the target direction during the activation period, and the power spread curve reflects the change trend of the output power within the time period. The system will immediately store and organize the data after each excitation window ends, and package the collected power curve, response value and excitation frequency point information into a set of response records. The frequency point response records are summarized to form a complete data set, generating a frequency point activation response measurement dataset.

[0152] The energy focusing and calibration submodule compares the energy distribution profile of the frequency point in the directional interference suppression channel spectrum with the frequency point activation response measurement dataset, calculates the difference between the real-time output power and power response of the frequency point, identifies the directional response intensity distribution, superimposes the frequency point energy of the output channel, and obtains the beamforming modulation pattern.

[0153] The system compares the real-time response power curves of each frequency point with the response data in the directional interference suppression channel spectrum item by item. In actual operation, the system extracts the energy distribution contour curve of the corresponding direction in the channel spectrum for each frequency point and performs overlap analysis with the currently measured power spread data. The analysis process includes synchronizing the time reference, standardizing the response scale, and performing difference calculation on the amplitude values ​​of the power curves within the same time period to obtain the difference amplitude index between the current output and response of the frequency point. The directional response intensity of each frequency point in the target direction is extracted to construct a directional intensity distribution map. Then, the energy of the frequency point in the output channel is superimposed to form a two-dimensional spectrum of the focused energy distribution in the spatial direction. The two-dimensional spectrum reflects the degree of power overlap and directional integration effect of the activated frequency points in the spatial dimension. The two-dimensional spectrum is used as the spatial directional energy synthesis result output by the system after modulation control is completed to obtain the beamforming modulation pattern.

[0154] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A smart beamforming modulation system for radio frequency microwave signals, characterized in that, The system includes: The trajectory extraction module obtains the spectrum and power response diagram corresponding to the spatial direction channel of the radio frequency microwave signal, performs time slicing on the spectrum, extracts the direction channel where the main peak frequency is located in the slice, obtains the main peak frequency point and records the direction and time position, and generates a set of spectrum trajectories of the dominant direction. The interference reduction module uses the dominant directional spectrum trajectory set to extract the main peak frequency and drift trend of non-dominant channels in the time slice, calls the frequency drift direction of the dominant trajectory as a comparison benchmark, extracts channels whose offset direction is greater than the set offset threshold, and generates a directional interference suppression channel map. The harmonic filtering module uses the directional interference suppression channel spectrum to obtain the spectral response data corresponding to the candidate resonant frequency points, extracts the main frequency position of the frequency point and the power response value of the adjacent harmonic frequency points, determines whether the frequency point generates power resonance, and generates a response close to the trajectory frequency point spectrum. Based on the frequency point map of the response-close trajectory, the frequency planning module combines frequency points to construct optional modulation frequency paths, sequentially accumulates the frequency jump values ​​between adjacent frequency points in the path, performs frequency hopping trajectory direction overlap calculation, and generates a set of directional consistent frequency hopping paths. The output control module sets the excitation timing of the frequency points in the modulation output sequence according to the directional consistency frequency hopping path set, drives the local oscillator signal according to the frequency point path sequence, activates the frequency point output, records the directional response intensity and power expansion trend in the activated direction channel, and compares and calibrates it with the directional interference suppression channel spectrum, completes spectral energy focusing in the output channel, and generates a beamforming modulation pattern. The beamforming modulation pattern includes an excitation frequency sequence diagram, a directional response intensity distribution, and a power spread trend calibration diagram.

2. The intelligent beamforming modulation system for radio frequency microwave signals according to claim 1, characterized in that, The dominant directional spectral trajectory set includes a main peak frequency point sequence, a directional channel marker set, time positioning information, and frequency drift consistency labels. The directional interference suppression channel map includes interference direction labeling information, amplitude compression frequency point coordinates, and angle diffusion suppression distribution map. The response proximity trajectory frequency point map includes a main frequency point location set, harmonic interference filtering labels, and directional proximity filtering set. The directional consistency frequency hopping path set includes a frequency hopping trajectory sequence, frequency hopping direction overlap score, and hopping consistency score value.

3. The intelligent beamforming modulation system for radio frequency microwave signals according to claim 1, characterized in that, The trajectory extraction module includes: The spectrum slicing submodule obtains the spectrum and power response diagram corresponding to the spatial directional channel of the radio frequency microwave signal, divides it into equal intervals according to the time axis, and slices the spectrum according to time to obtain the directional channel slice spectrum sequence. The main peak channel identification submodule calculates the frequency response value of the directional channel slice by slice based on the directional channel slice spectrum sequence, performs column-by-column peak extraction in the slice, records the directional channel number and frequency value corresponding to the main peak frequency, and summarizes the main peak channel frequency points in the slice to obtain the main peak frequency channel time set. The directional trajectory filtering submodule extracts the frequency jump value of adjacent frequency points, the spatial angle difference between directional channel numbers, and the power change amplitude based on the arrangement order of frequency points in the main peak frequency channel time set. It then performs normalization processing on the three types of indicators according to the reference threshold, calculates the trajectory stability evaluation index, filters the directional channel paths that meet the set stability interval, and generates the dominant directional spectrum trajectory set.

4. The intelligent beamforming modulation system for radio frequency microwave signals according to claim 3, characterized in that, The interference reduction module includes: The spectrum trajectory extraction submodule calculates the power peak frequency of the corresponding spectrum data of the dominant channel under the time slice based on the dominant direction spectrum trajectory set, collects the main peak frequency position change data on the time series, establishes the frequency time change sequence, obtains the frequency drift trend, and maps the time change sequence as a frequency change direction reference identifier to generate a frequency drift direction reference sequence. The frequency offset channel identification submodule calls the frequency drift direction reference sequence, and based on the main peak frequency sequence extracted from the non-dominant channel in the time slice, compares the change trend with the offset direction of the reference reference point by point, calculates the frequency difference between adjacent time slices, and by judging whether the angle between the offset direction and the reference direction is opposite, counts the number of time segments in which continuous offset occurs, and filters the channels whose offset time sequence length is greater than the set offset threshold time period to obtain the set of channels with abnormal offset direction. The amplitude compression submodule extracts the original power response value at the corresponding frequency point in the spectrum based on the frequency trajectory of the abnormal channel set in the offset direction, calculates the compressed power response value, and obtains the directional interference suppression channel spectrum.

5. The intelligent beamforming modulation system for radio frequency microwave signals according to claim 4, characterized in that, The harmonic filtering module includes: The directional channel data receiving submodule extracts spectral response data based on the directional interference suppression channel spectrum, calculates the response spectrum curve of the frequency point in the suppression channel, and obtains the main frequency position of the frequency point and the power response value of the adjacent frequency points to generate a frequency point spectrum response information set. The power resonance determination submodule calls the frequency point spectrum response information set, calculates the difference ratio between the power value at the main frequency position of the frequency point and the power response value of the adjacent frequency point, marks the frequency point with the ratio greater than the set power resonance determination threshold as the resonance frequency point, and filters out the power response of the marked frequency point in the suppression channel to obtain the set of non-resonance frequency points. The dominant trajectory response extraction submodule analyzes the directional response of the frequency points based on the set of non-resonant frequency points, calculates the angle error between the directional response vector of the frequency point and the dominant directional trajectory, and filters out frequency points with an angle error less than the directional deviation tolerance threshold to obtain a spectrum of frequency points whose directional response closely matches the trajectory.

6. The intelligent beamforming modulation system for radio frequency microwave signals according to claim 5, characterized in that, The frequency planning module includes: The frequency path construction submodule uses the directional response close trajectory frequency point map, and combines frequency points to form multiple selectable modulation frequency paths according to frequency continuity. The frequency points contained in the selectable modulation frequency paths are arranged in ascending order of frequency value to generate a set of modulated frequency path sequences. The jump value accumulation submodule calls the modulated frequency path sequence set, performs difference calculation on the frequency values ​​of any adjacent frequency points in the modulated frequency path, and accumulates the difference item by item according to the frequency point order in the path to obtain the path frequency jump cumulative value set. The trajectory overlap calculation submodule extracts the angular response position of the intermediate frequency point in the dominant direction of the optional modulation frequency path according to the cumulative value set of path frequency jump, constructs the directional trajectory vector corresponding to the path, and calculates the overlap area ratio with the dominant direction trajectory vector to obtain the path directional trajectory overlap index group. The frequency hopping consistency filtering submodule calls the path direction trajectory overlap index group, judges the error range between the overlap index of the modulated frequency path and the set direction consistency benchmark value, filters the path set whose error is within the set tolerance range, and extracts the corresponding frequency path content to obtain the direction consistency frequency hopping path set.

7. The intelligent beamforming modulation system for radio frequency microwave signals according to claim 6, characterized in that, The output control module includes: The excitation timing configuration submodule, based on the direction-consistent frequency hopping path set, sets the excitation time index in the modulation output sequence for the frequency points according to the order of frequency points in the path, and generates a frequency point excitation timing mapping table. The signal driving submodule calls the frequency point excitation timing mapping table, activates the frequency point output sequentially according to the excitation time index, and collects the directional response intensity value and power spread curve during the frequency point activation period in the dominant directional channel to generate a frequency point activation response measurement dataset. The energy focusing and calibration submodule compares the energy distribution profile of the frequency point in the directional interference suppression channel spectrum with the frequency point activation response measurement dataset, calculates the difference between the real-time output power and the power response of the frequency point, identifies the directional response intensity distribution, superimposes the energy of the output channel frequency point, and obtains the beamforming modulation pattern.

8. The intelligent beamforming modulation system for radio frequency microwave signals according to claim 7, characterized in that, Based on the aforementioned directional consistent frequency hopping path set, according to the order of frequency points in the path, an excitation time index in the modulation output sequence is set for each frequency point, and a frequency point excitation timing mapping table is generated. The process of setting the excitation time index in the frequency point modulation output sequence includes: for paths in the direction-consistent frequency hopping path set where the frequency interval between adjacent frequency points is not less than 200kHz, setting no less than two excitation time index intervals between adjacent frequency points. For paths in the directional consistent frequency hopping path set where the frequency interval between adjacent frequency points is less than 200kHz but not less than 100kHz, an excitation time index interval is set between adjacent frequency points. For paths in the directional consistent frequency hopping path set where the frequency interval between adjacent frequency points is less than 100kHz, a continuous excitation time index is assigned.

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