Radio frequency transmit-receive control system for radar height measurement

Abstract

The invention relates to the technical field of radio frequency transmit-receive control, in particular to a radio frequency transmit-receive control system for radar height measurement, which comprises a pulse adaptation control module, a time resolution partition module, an echo structure identification module, a multi-frequency channel screening module and a transmit-receive control decision module. According to the method, by dynamically extracting the echo amplitude jump point and compressing the pulse width, the time domain separation capability can be improved, the recognition precision of an adjacent target can be enhanced, the interval distribution characteristics are constructed based on the jump time difference, the sparse time period is screened for evaluating the resolution feasibility, and the adaptability to different echo densities is enhanced; a structure identification window is established around the maximum value of a main lobe, the overrun number of side lobe samples is counted, the accuracy of signal morphological structure identification is improved, the ratio of the main lobe samples to the side lobe samples is combined with a signal-to-noise ratio threshold to perform frequency band screening, a channel priority sequence is formed, and the flexibility and accuracy of signal processing and the spectrum utilization efficiency in the radar height measurement process are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of radio frequency transceiver control, and particularly to a radio frequency transceiver control system for radar altitude measurement. Background Art

[0002] The technical field of radio frequency transceiver control includes a technical system for controlling the transmission and reception processes of radio frequency band signals. The core content lies in precisely managing and converting electromagnetic wave signals in different applications by controlling processes such as signal generation, modulation, transmission, reception, and demodulation in radio frequency circuits, covering radio frequency signal source control, frequency synthesis, power control, receive sensitivity adjustment, frequency selectivity management, and related hardware circuit design. It is widely used in systems such as communication, navigation, and radar. Especially in radar systems, its control accuracy and signal stability play a crucial role in the overall performance.

[0003] Among them, the radio frequency transceiver control system for radar altitude measurement refers to a radio frequency control unit used to complete signal transmission and reception operations during radar altitude measurement, mainly covering the setting and stable control of the transmission frequency, frequency selection and gain adjustment of the receive channel, transmit-receive time synchronization control, gating management of echo signals, and signal coupling and switching methods with the antenna. The stable generation of the operating frequency is achieved through a phase-locked loop frequency synthesizer. By adjusting the transmit power and receive gain, and by controlling the switching of the radio frequency path, the process control of the signal from transmission to reception is completed. Also, based on parameters such as the delay and intensity of the echo signal, the receiving unit is guided to set the receiving window and the center frequency band to ensure the effective capture of altitude measurement information.

[0004] In the existing radio frequency transceiver control process for radar altitude measurement, during the radar signal processing, it relies on fixed parameter configuration and periodic control modes, lacking an active recognition and response strategy for the amplitude changes between echo samples, which easily leads to blurred recognition of the waveform overlap area and limits the pulse compression space. The time processing logic fails to perform structural division based on the difference of jump points and lacks the adaptability to time domain sparse or dense distribution scenarios, easily resulting in misjudgment of the resolution ability. In terms of frequency band structure recognition, it only relies on the main lobe energy intensity as the judgment index, ignoring the influence of sidelobe spurious interference, resulting in unclear target recognition boundaries. In the channel screening link, the application of signal-to-noise ratio has limitations, and no ratio judgment basis based on structural characteristics is established, causing the spectrum allocation to lack priority differences and low frequency band scheduling efficiency. In the face of environmental changes or multi-target interference, the traditional method has a lag in signal distribution judgment and channel configuration response, easily leading to signal resource waste or receive failure, affecting the effectiveness and stability of altitude measurement operations in complex environments. Summary of the Invention

[0005] The purpose of the present invention is to solve the disadvantages existing in the prior art, and to propose a radio frequency transceiver control system for radar altitude measurement.

[0006] To achieve the above object, the present invention adopts the following technical solutions: A radio frequency transceiver control system for radar altitude measurement includes: The pulse adaptation control module obtains the radar received cycle echo amplitude sequence and time tags, extracts the minimum amplitude jump points and records the front and rear time intervals and amplitude differences, makes a difference judgment according to the preset lower limit threshold of the pulse width and the time interval, compresses the pulse width value, and generates pulse compression configuration data; The time resolution partition module, based on the pulse compression configuration data, sorts the time tags of all jump points in ascending order and subtracts them in turn, conducts time interval statistical distribution analysis and resolution feasibility evaluation, records the number of resolvable jump points, and generates a time resolution support quantity; The echo structure recognition module, according to the target frequency band channel signal corresponding to the time resolution support quantity, obtains the echo waveform sample and determines the main lobe width, sets side lobe statistical windows on both sides of the main lobe and counts the number of samples exceeding the side lobe detection threshold, records the main lobe width and the total number of side lobe samples in each frequency band, and generates a frequency band structure amplitude statistical result; The multi-frequency channel screening module, according to the frequency band structure amplitude statistical result, calculates the ratio of the main lobe width to the side lobe sample value in each frequency band, compares the frequency band signal-to-noise ratio threshold to screen high-priority frequency bands, records the channel priority sorting order, and generates a priority frequency band index sequence.

[0007] As a further solution of the present invention, the pulse compression configuration data includes the compressed pulse width value, the corresponding time interval, the time tag of the minimum amplitude jump point, the amplitude difference, and the pulse width reduction ratio parameter. The time resolution support quantity includes the number of resolvable jump points, the sparse interval span, the time interval distribution density, and the comparison result of the compressed pulse width and the resolution ability. The frequency band structure amplitude statistical result includes the main lobe width, the total number of side lobe samples, the position of the side lobe distribution statistical window, the position of the main lobe center point, and the time tags of the left and right boundaries of the main lobe. The priority frequency band index sequence includes the high-priority frequency band number, the frequency band channel priority sorting order, the main-to-side lobe ratio of the frequency band, and the signal-to-noise ratio comparison mark.

[0008] As a further solution of the present invention, the pulse adaptation control module includes: The amplitude sequence extraction sub-module obtains the echo amplitude sequence and the corresponding time tags within the radar receiving cycle, merges and sorts the amplitude sequence in chronological order, and constructs a double sequence of echo amplitude and time according to the time tags to generate an echo amplitude-time matching sequence; The jump point screening sub-module, based on the echo amplitude-time matching sequence, extracts the amplitude change values between any adjacent jump points, constructs an amplitude change list, calculates and sorts the amplitude differences of all change amounts, screens the minimum amplitude jump points and records the front and rear time intervals and amplitude differences to generate a minimum jump difference group; The compression configuration generation sub-module makes a difference judgment based on the minimum jump difference group, in combination with a preset lower limit threshold of the pulse width and the time interval. If the difference is greater than 0, the formula is used: ; Calculate the compressed pulse width value , and make a difference judgment again with the current time interval, and loop until the difference is not greater than 0. Record the compressed pulse width value and the time interval, and generate pulse compression configuration data, where represents the current original pulse width, represents the time interval before and after the current minimum jump point, represents the lower limit threshold of the pulse width, represents the minimum time resolution ability, represents the jump point at the amplitude difference, represents the jump point corresponding original pulse width, is the number of jump points participating in the calculation.

[0009] As a further solution of the present invention, the time resolution partition module includes: The time difference construction sub-module obtains the jump time series in the pulse compression configuration data, arranges the time tags of all jump points in ascending order, and performs subtraction calculations between adjacent time tags in turn to construct a jump time difference series; The interval statistics sub-module divides the time difference range with a fixed time step according to the jump time difference series, performs histogram distribution statistics, and statistically compares the number of samples in different time intervals, selects the time interval with the least number of samples as the sparse interval, obtains the start and end time tags of the sparse interval and calculates the time span, and generates sparse interval time span data; The resolution evaluation sub-module performs a resolution feasibility evaluation based on the sparse interval time span data and the current compressed pulse width value, and uses the formula: ; Calculate the resolution comparison value , calculate the number of distinguishable jump points according to the resolution comparison value, and count the number of jump points with an interval greater than the compressed pulse width in the sparse interval to obtain the time resolution support amount, where represents the sparse interval time span, represents the jump point of the amplitude change amount, represents the average value of the echo intensities before and after the jump point , represents the compressed pulse width value, represents the jump point time tag, represents the arithmetic mean of the time tags of all jump points within the sparse interval, represents the number of jump points.

[0010] As a further solution of the present invention, the echo structure recognition module includes: The main lobe positioning sub-module collects echo waveform samples in a channel-parallel manner according to the target frequency band channel signal corresponding to the time resolution support amount, detects the point with the largest amplitude in each channel, calibrates it as the center position, and obtains the main lobe center time tag sequence; The main lobe extraction sub-module locates the continuous samples in the left and right directions of the point with the largest amplitude in the corresponding channel based on the main lobe center time tag sequence, judges the difference between the amplitude and the 3dB point of the peak value, determines the time tag when the signal amplitude is first lower than 3dB as the left and right boundaries, and uses the formula: ; calculate and generate the main lobe pulse width , where and respectively represent the time tags of the right and left boundaries of the main lobe, represents the echo amplitude of the k-th sample point, represents the amplitude of the center point in the k-th channel, is the main lobe center time tag in the k-th channel, represents the number of parallel channels; The side lobe statistics sub-module sets statistical windows at equal distances on both sides of the main lobe in each channel according to the main lobe pulse width, compares the echo sample amplitude within each window with the side lobe detection threshold, counts the number of sample points exceeding the side lobe detection threshold and accumulates the data of all channels, obtains the total value of the side lobe sample quantity, and combines with the main lobe pulse width for sorting and summarizing to establish the amplitude statistical result of the frequency band structure.

[0011] As a further solution of the present invention, the multi-frequency channel screening module includes: The ratio calculation sub-module obtains the main lobe width and side lobe sample values corresponding to each frequency band in the amplitude statistical result of the frequency band structure, performs the ratio calculation of the main lobe width and the side lobe sample number for each frequency band respectively, and obtains the frequency band amplitude ratio sequence; The frequency band screening sub-module compares each item of the frequency band amplitude ratio sequence with the frequency band signal-to-noise ratio threshold item by item, identifies the frequency band numbers with ratios greater than the signal-to-noise ratio preferred threshold, and marks them as preferred frequency bands to obtain the high-priority frequency band number set; The priority order generation sub-module counts the occurrence frequencies of each high-priority frequency band within a specified period based on the high-priority frequency band number set, sorts them from high to low according to the occurrence frequencies and assigns priority numbers to obtain the priority frequency band index sequence.

[0012] As a further aspect of the present invention, the system further includes a transceiver control decision module.

[0013] As a further aspect of the present invention, based on the priority frequency band index sequence, the transceiver control decision module configures corresponding pulse width parameters and the start and end points of the reception buffer window for the high-priority frequency bands in the transmission link, sets the delayed reception or off state for the non-priority frequency bands, and updates the frequency channel mapping table to generate a radar altitude measurement transceiver synchronization configuration table.

[0014] As a further aspect of the present invention, the radar altitude measurement transceiver synchronization configuration table includes frequency band pulse width configuration parameters, the start and end points of the reception buffer window, non-priority frequency band reception state control instructions, and frequency channel mapping update information.

[0015] As a further aspect of the present invention, the transceiver control decision module includes: The transmission configuration sub-module extracts the frequency band numbers corresponding to the high-priority frequency bands based on the priority frequency band index sequence, configures the pulse width parameters of each frequency band in the transmission control link according to the priority order, sets the transmission timing of each frequency band, and obtains the frequency band transmission configuration value; The reception adjustment sub-module sets the start and end points of the reception buffer window for the high-priority frequency bands according to the frequency band transmission configuration value, sets the delayed reception state or turns off the reception function for the non-priority frequency bands, and updates the channel mapping table according to the frequency allocation structure within the current period to obtain the channel configuration synchronization coefficient sequence; The channel synchronization sub-module constructs the transceiver timing relationship of each frequency band according to the channel configuration synchronization coefficient sequence, matches the structure of the channel mapping table, integrates the synchronization mapping data for all frequency bands, and generates a radar altitude measurement transceiver synchronization configuration table.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In the present invention, by dynamically extracting the echo amplitude jump points and compressing the pulse width, the time-domain separation ability can be improved, the recognition accuracy of adjacent targets can be enhanced, the interval distribution characteristics are constructed based on the jump time difference, sparse time periods are selected for evaluating the resolution feasibility, the adaptability to different echo densities is enhanced, a structure recognition window is established around the main lobe maximum value, the number of out-of-limit sidelobe samples is statistically counted, the accuracy of signal morphology structure recognition is improved, the frequency bands are screened by combining the main-to-sidelobe sample ratio and the signal-to-noise ratio threshold to form a channel priority sequence, the spectrum allocation effect is optimized, and a multi-dimensional judgment basis is constructed around the jump characteristics, time-domain distribution, and structure recognition, enhancing the flexibility, accuracy, and spectrum utilization efficiency of signal processing during radar altitude measurement. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is the system flow chart of the present invention; Figure 2Flow chart of the pulse adaptation control module of the present invention; Figure 3 Flow chart of the time-resolved zoning module of the present invention; Figure 4 Flow chart of the echo structure recognition module of the present invention; Figure 5 Flow chart of the multi-frequency channel screening module of the present invention; Figure 6 Flow chart of the transceiver control decision module of the present invention. Detailed implementation manners

[0018] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present 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 only used to explain the present invention and are not used to limit the present invention.

[0019] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. In addition, in the description of the present invention, the meaning of "a plurality of" is two or more, unless otherwise specifically defined.

[0020] Please refer to Figure 1 , a radio frequency transceiver control system for radar altitude measurement includes: The pulse adaptation control module obtains the echo amplitude sequence and time tags within the radar receiving period, constructs an amplitude change list for any adjacent jump points, extracts the minimum amplitude jump point and records the time interval and amplitude difference before and after the corresponding point. According to the preset lower limit threshold of the pulse width (this threshold is the minimum allowable pulse width standard of the radar system, usually defined by the characteristics of the hardware transmitter or the ITU frequency band specification), a difference judgment is made with the time interval. If the difference is greater than 0, the original pulse width is updated by multiplying with a proportional reduction coefficient (the reduction coefficient is determined by the dynamic pulse width compression algorithm, and its value depends on the ratio of the current time interval to the minimum time resolution ability of the system. For example, if the current time interval is greater than the minimum resolution requirement, the pulse width is gradually compressed proportionally until the resolution requirement is met) until the difference is no longer greater than 0, and then the update is terminated. The compressed pulse width value and the corresponding time interval are recorded to generate pulse compression configuration data; The time-resolved partition module sorts all the jump point time tags in ascending order based on the jump time series in the pulse compression configuration data, subtracts them in sequence, constructs a continuous time difference sequence, and conducts a time interval statistical distribution analysis on the difference sequence (performs a histogram statistics on the time difference sequence to divide sparse and dense time intervals). It screens the time interval with the fewest number of samples and compares it with the current compressed pulse width value to evaluate the resolution feasibility (judges whether the interval supports the range resolution ability of the radar by comparing the time span of the sparse interval with the compressed pulse width), records the number of resolvable jump points within the time period, and generates a time-resolved support quantity; The echo structure recognition module obtains echo waveform samples in a channel-parallel manner according to the target frequency band channel signals corresponding to the time-resolved support quantity. It locates the main lobe range centered on the point with the maximum amplitude in each channel and extracts the sample intervals that are continuously higher than the threshold on the left and right as the main lobe width (the main lobe width is defined as the time difference between the left and right boundaries when the echo signal amplitude drops from the peak to 3 dB (halving the power). The left and right boundaries are determined by detecting the points where the signal amplitude is first lower than 3 dB of the peak)). Five sidelobe statistical windows are set on both sides of the main lobe, and the number of samples exceeding the sidelobe detection threshold (this threshold is usually set to the noise floor intensity plus 3 - 6 dB, and the specific value is obtained by calibrating the receiver sensitivity) is counted. The main lobe width and the total number of sidelobe samples in each frequency band are recorded, and a frequency band structure amplitude statistical result is generated; The multi-frequency channel screening module calculates the ratio of the main lobe width to the sidelobe sample value for each frequency band in the frequency band structure amplitude statistical result, and compares it item by item with the frequency band signal-to-noise ratio threshold (the minimum detectable signal-to-noise ratio calculated by the radar equation, which involves parameters such as transmit power, antenna gain, target distance, and environmental noise). It screens the frequency band numbers with a ratio greater than the signal-to-noise ratio preference threshold and marks them as high-priority frequency bands, and records the channel priority sorting order of the corresponding frequency bands within the period, generating a preferred frequency band index sequence; Based on the preferred frequency band index sequence, the transceiver control decision module configures the corresponding pulse width parameters and the start and end points of the receive buffer window for the high-priority frequency bands in the transmit link, sets the delayed reception or off state for the non-preferred frequency bands, and updates the frequency channel mapping table, generating a radar altitude measurement transceiver synchronization configuration table.

[0021] The pulse compression configuration data includes the compressed pulse width value, the corresponding time interval, the time tag of the minimum amplitude jump point, the amplitude difference value, the pulse width reduction ratio parameter. The time resolution support quantity includes the number of resolvable jump points, the sparse interval span, the time interval distribution density, and the comparison result of the compressed pulse width and the resolution ability. The frequency band structure amplitude statistical result includes the main lobe width, the total number of sidelobe samples, the position of the sidelobe distribution statistical window, the position of the main lobe center point, and the time tags of the left and right boundaries of the main lobe. The priority frequency band index sequence includes the high-priority frequency band number, the frequency band channel priority sorting order, the main-to-sidelobe ratio of the frequency band, and the signal-to-noise ratio comparison mark. The radar altitude measurement transceiver synchronization configuration table includes the frequency band pulse width configuration parameter, the start and end points of the receiving buffer window, the non-optimal frequency band reception status control instruction, and the frequency channel mapping update information.

[0022] Please refer to Figure 2 , the pulse adaptation control module includes: The amplitude sequence extraction sub-module obtains the echo amplitude sequence and the corresponding time tags within the radar receiving period, merges and sorts the amplitude sequence in chronological order, and constructs a dual sequence of echo amplitude and time according to the time tags to generate an echo amplitude-time matching sequence; To obtain the echo amplitude sequence and the corresponding time tags within the radar receiving period, for the raw data required for extraction, the system first obtains the echo signal from the radar front-end receiving module, and converts the analog signal into a digital signal via the ADC module to form a preliminary data frame. This data frame contains the amplitude value received per unit time and the corresponding time tags. For example, the radar samples once every 0.1 μs, and the obtained data is shown in the following table. The sequence length is limited to 2 μs according to the time range, and a total of 20 sampling points are collected. Each point records the amplitude and time values: Table 1 Example Table of Echo Amplitude and Time Tags Arrange the above time tags in ascending order of time, and form a mapping relationship with the corresponding echo amplitudes to form a time-amplitude dual sequence structure. In this structure, the time interval between data points is always 0.1 μs, which can avoid time overlap interference. Then, based on this sequence, the system constructs a sequential amplitude sequence for subsequent operations such as jump point extraction and amplitude difference calculation, and finally generates an echo amplitude-time matching sequence.

[0023] The jump point screening sub-module extracts the amplitude change values between any adjacent jump points based on the echo amplitude-time matching sequence, constructs an amplitude change list, calculates and sorts the amplitude differences for all change amounts, screens the minimum amplitude jump points and records the front and back time intervals and amplitude difference values to generate a minimum jump difference group; Based on the echo amplitude-time matching sequence, the system identifies the amplitude difference between adjacent data points and constructs a difference sequence. The calculation process is as follows: Difference processing is performed on every two adjacent points. For example, the amplitude difference between sampling point 1 and sampling point 2 is , the difference between sampling point 2 and sampling point 3 is , and so on, 19 difference items are formed, and then the difference items are arranged in ascending order, and the smallest amplitude jump value item is screened out. If there are multiple minimum values, the earliest one is extracted, and the time labels and amplitude values ​​before and after the jump point are recorded to form a jump pair. The time interval of the jump point is always 0.1μs. For example, in the above data, the minimum jump is 0.2dB, the corresponding time label is 0.2-0.3μs, and the amplitude changes from 79.1dB to 78.9dB. Then the difference and the corresponding time period are used as the subsequent compression judgment benchmark data to generate the minimum jump difference group.

[0024] The compression configuration generation submodule performs difference judgment based on the minimum jump difference group, combined with the preset pulse width lower limit threshold and time interval. If the difference is greater than 0, the formula is used: ; Calculate the pulse width after compression , and make another difference judgment with the current time interval, and execute it cyclically until the difference is not greater than 0, record the compressed pulse width value and time interval, and generate pulse compression configuration data, where, Represents the current original pulse width, Represents the time interval before and after the current minimum jump point, Represents the pulse width lower threshold, represents the minimum time resolution capability, Represents the trip point The amplitude difference at Represents the trip point The corresponding original pulse width, is the number of jump points involved in the calculation; According to the minimum jump difference group, the difference is judged based on its time interval 0.1μs and the pulse width lower limit threshold 0.6μs set by the system. , the judgment result is less than the threshold value, which does not meet the compression requirement, so the next minimum jump difference group is selected for judgment. Assuming that the new minimum jump point time interval is 0.9μs, the amplitude difference is 14.2dB, and the difference with the threshold is , if the compression condition is met, the current original pulse width is obtained , the system's minimum time resolution , and statistics of other jump point parameters related to the jump segment are as follows: Table 2 Compression calculation parameters The parameters are substituted as follows: , ; , ; ; Then calculate the compressed pulse width: ; The result shows that under the current jump point condition, the result after compressing the pulse width is 2.5134 μs. The system determines that this value is less than the original pulse width, and the compression amplitude meets the control standard. Then record this compressed pulse width and the corresponding jump point time interval, and finally generate the pulse compression configuration data.

[0025] The operation logic of this formula is to construct a dynamically adjustable pulse width compression mechanism, which uses a multiplication form to perform proportional reduction based on the current pulse width so that the updated pulse width is linearly adjusted according to the difference and the compression factor; the part inside the parentheses is the compression factor part, and its numerator represents the difference between the current jump point time interval and the pulse width lower threshold value. Taking the square root after taking the absolute value is to smooth the change of the difference and avoid drastic changes in the compression ratio due to large fluctuations in the difference; the denominator contains the system's minimum time resolution ability and the sum of the absolute value of the ratio of the amplitude to the pulse width at the jump point . The former reflects the lower limit of the system's time measurement ability, and the latter quantifies the coupling strength between the degree of jump and the signal width. Using the sum is to integrate the information of multiple jump points to stabilize the compression coefficient. The overall structure couples the time difference and the signal amplitude change through a fractional form to adjust the pulse width compression ratio, so that the compression is not only limited by the time threshold difference but also regulated by the signal characteristic change, and finally realizes a detailed and controllable dynamic compression mechanism.

[0026] Please refer to Figure 3 , the time resolution partition module includes: The time difference construction sub-module obtains the jump time series in the pulse compression configuration data, arranges the time tags of all jump points in ascending order, and successively performs subtraction calculations between adjacent time tags to construct a jump time difference series; Obtain the jump time series in the pulse compression configuration data, arrange the time tags of all jump points in ascending order. First, the jump time series in the data source needs to be extracted by time tag and sorted in time order. In actual operation, it can be assumed that the time tags of the jump points recorded within a certain radar pulse period are an array In microseconds, after sorting, the original sequence order is maintained, and then the difference calculation between adjacent time tags is performed in sequence. That is, the time difference is obtained by subtracting the previous tag from the next tag to form a time difference sequence. In microseconds, this operation can be achieved through a traversal operation. Let the original time sequence be , then the time difference sequence . Taking an example to illustrate, if a set of jump times is in microseconds, then in microseconds. This sequence will subsequently serve as the basic data for time distribution to ensure that the relationship between sampling points and jump points is not ignored due to noise or incorrect sampling intervals. To improve data rationality, each group of data should contain at least 5 jump time tags. In actual sampling, the acquisition of jump points is usually based on the phase jump in the reflected wave collected by the radar receiver and is achieved through amplitude mutation points or phase envelope difference thresholds. Assuming that the system pulse repetition frequency is 10 kHz and the time per period is 100 microseconds, the above sequences are all recorded within 100 microseconds. After outputting the time difference sequence, it is the jump time difference sequence generated in this module stage.

[0027] The interval statistics sub-module divides the time difference range at a fixed time step according to the jump time difference sequence, conducts histogram distribution statistics, and statistically compares the number of samples in different time intervals, selects the time interval with the fewest number of samples as the sparse interval, obtains the start and end time tags of the sparse interval and calculates the time span to generate sparse interval time span data; According to the jump time difference sequence, divide the time difference range at a fixed time step and conduct histogram distribution statistics. First, select the maximum and minimum ranges of the time difference for interval segmentation. If the maximum value is 2.4 microseconds and the minimum value is 0.1 microseconds, a step size of 0.5 microseconds can be set to divide the entire interval, that is, divide the time difference into five intervals: [0–0.5), [0.5–1.0), [1.0–1.5), [1.5–2.0), [2.0–2.5). Count the number of samples of the data in each interval. For example, in the array [0.3, 0.7, 1.4, 1.9, 2.3, 0.6, 1.0], the distribution frequencies in each interval are 1, 2, 2, 1, 1 in turn. Select the time period with 1 sample as the sparse interval according to the principle of the fewest number of samples. Then [0–0.5), [1.5–2.0), and [2.0–2.5) are candidate sparse intervals. Further select the main sparse interval based on the lowest average amplitude difference or frequency density criterion, extract the minimum time tag and the maximum time tag in this interval and calculate the difference. Suppose the interval tags are 2.1 microseconds and 2.5 microseconds, then the time span of this sparse interval is 0.4 microseconds, which is used as a reference standard for subsequent comparison with the compressed pulse width. See the following table for the summary of the statistical results of each interval: Table 3 Sparse Interval Statistical Table As shown in Table 3, the sample in the interval [2.0–2.5) is the least, and the span is 0 microseconds. This interval can be selected as the sparse interval, and the time span of the sparse interval obtained by calculating the difference of the time tags will be used as the basis for the next feasibility judgment.

[0028] The resolution evaluation sub-module conducts a resolution feasibility evaluation based on the sparse interval time span data and the current compressed pulse width value, using the formula: ; Calculate the resolution comparison value (dimensionless resolution comparison coefficient, used to quantify the target resolution ability within the sparse interval), calculate the number of interpretable jump points according to the resolution comparison value, and count the number of jump points with an interval greater than the compressed pulse width within the sparse interval to obtain the time resolution support amount. Among them, represents the time span of the sparse interval, represents the jump point 's amplitude change amount, represents the jump point 's mean echo intensity before and after, represents the compressed pulse width value, represents the jump point 's time tag, represents the arithmetic mean of all jump point time tags within the sparse interval, represents the number of jump points; Based on the sparse interval time span and the current compressed pulse width value, conduct a resolution feasibility evaluation. Assume that the current sparse interval time span = 0.4 μs, the compressed pulse width value = 0.3 μs, the number of jump points , the jump point amplitude change amount array is , the mean echo intensity array of each jump point is , the jump point time tag is , and its arithmetic mean is μs. Substitute into the formula: ; This result indicates that the distribution of the current sparse interval cannot support the resolution of the jump points of the compressed pulse width. It is necessary to further adjust the pulse configuration. Finally, count the number of jump intervals greater than the compressed pulse width value according to the number of jump points to generate the time resolution support amount.

[0029] The operation logic of this formula is to conduct a normalized measurement on the influencing factors of the radar time resolution ability by integrating multiple key physical quantities. Among them, the numerator part Indicates the difference between the sparse interval time span and the integrated value of the jump point energy. By calculating the amplitude change amount of each jump point and the corresponding mean echo intensity perform point-by-point multiplication, sum the multiplication results, and then take the cube root. The purpose is to normalize and fuse the composite features of multiple jump points in the form of an energy body, and use the cube root operation for compression to avoid a certain eigenvalue dominating the overall calculation due to being too large, and strengthen the reflection of weak jump points; while the denominator part comprehensively considers the compressed pulse width and the deviation degree of the jump point time label. The latter reflects the dispersion degree of the jump point in the interval through the absolute difference between each time label and the time mean value, and averages it to form a measure of the distribution uniformity. Finally, add this deviation term to the compressed pulse width to form a comprehensive time resolution width benchmark. The entire formula reflects the deviation degree between the sparse time span and the discrete energy density of the jump point through the absolute value ratio form of the numerator and denominator, thereby establishing a resolvable evaluation index for the sparse partition.

[0030] Please refer to Figure 4 , the echo structure recognition module includes: The main lobe positioning sub-module collects echo waveform samples in a channel-parallel manner according to the target frequency band channel signal corresponding to the time resolution support amount, detects the point with the largest amplitude in each channel, calibrates it as the center position, and obtains the main lobe center time label sequence; According to the target frequency band channel signal corresponding to the time resolution support amount, multiple echo channels are collected in parallel according to the channel division. The acquisition device is arranged in groups of 10 channels, the sampling frequency of each channel is set to 50 MHz, and the signal sampling time range is set to 0 - 100 μs, forming waveform sample data with 5000 sampling points per channel. Subsequently, the waveform data of each channel is normalized, and the point with the largest amplitude is extracted as the center positioning basis. It is necessary to traverse the 5000 sampling points of each channel. By judging whether the amplitude of the current point is greater than the adjacent points before and after and reaches the maximum value of the channel, it is then confirmed as the main lobe center point. For example, the amplitude of the 3458th sampling point in the 7th channel is 0.96, and it is higher than the amplitudes of its adjacent points 0.94 and 0.91, then it is marked as the main lobe center. This operation is performed one by one in multiple channels to form a set of main lobe center time label sequences. For example, the main lobe center of the 1st channel appears at t = 32.6 μs, the 2nd channel is at t = 33.1 μs, and so on to obtain the following data: Table 4 Main Lobe Center Time Label Table As shown in Table 4, the center time tags of the main lobes of each channel all fall between 30 - 35 μs, indicating that the radar target forms an obvious main lobe response within this time window. By detection, the main reflection position can be located, and then used as the time reference for subsequent determination of the main lobe range to generate the main lobe center time tag sequence.

[0031] Based on the main lobe center time tag sequence, the main lobe extraction sub-module locates the continuous samples in the left and right directions of the point with the maximum amplitude in the corresponding channel, judges the difference between the amplitude and the 3 dB points of the peak value, and determines the time tag when the signal amplitude is first lower than 3 dB as the left and right boundaries, using the formula: ; Calculate and generate the main lobe pulse width , where, and represent the time tags of the right and left boundaries of the main lobe respectively, represents the echo amplitude of the k-th sample point, represents the amplitude of the center point in the k-th channel, is the main lobe center time tag in the k-th channel, represents the number of parallel channels; Based on the main lobe center time tag sequence, select the center points of each channel and extend them to the left and right directions, and extract samples according to the set amplitude threshold value. The threshold value is set as the amplitude at the 3 dB drop of the main lobe peak value. Assume that the left and right boundaries of the main lobe of the 3rd channel are located at , , then the basic width is . If , , , substituting it in, the correction term is: ; If the average of 5 channels is 7.92, then ; This result shows that the main lobe pulse width is 2.384 μs, reflecting that the time interval occupied by the main lobe is relatively concentrated under the current conditions, and can be used for combined analysis with the side lobe statistical structure later to obtain the main lobe pulse width.

[0032] The operation logic design of this formula aims to comprehensively evaluate the time span of the main lobe and the influence of the amplitude offset across channels. First, use to represent the time difference between the left and right boundaries of the main lobe, directly quantifying the basic width characteristics of the main lobe in a single channel. Secondly, introduce the weighted correction term , where the absolute value It is used to represent the deviation degree between the sample amplitude and the main lobe center amplitude in each channel. This difference reflects the symmetry of the main lobe shape and the energy concentration of the waveform. Subsequently, the square root operation is used to amplify the influence of weak deviations, so as to generate a sensitive response to the asymmetric main lobe. Then, the time tag and the sample amplitude are subjected to division and multiplication operations to form the time-amplitude joint weight within the channel. The product term indicates that the farther the sample position is and the weaker the amplitude is, the greater the impact on the main lobe determination. Finally, by averaging all channels, a global correction factor is obtained. Adding it to the basic time difference can form the adjusted main lobe time width under the influence of amplitude deviation, which reflects the width representation method jointly constituted by the main lobe boundary and the channel energy distribution.

[0033] The sidelobe statistical sub-module sets statistical windows at equal distances on both the left and right sides of the main lobe in each channel according to the main lobe pulse width, compares the echo sample amplitude within each window with the sidelobe detection threshold, counts the number of sample points exceeding the sidelobe detection threshold, accumulates the data of all channels, obtains the total value of sidelobe samples, and combines and summarizes it with the main lobe pulse width to establish the amplitude statistical result of the frequency band structure; According to the main lobe pulse width, 5 equal-width statistical windows are set at a step of 0.5 μs on both its left and right sides, and the sample point amplitudes in each window are scanned in turn. The sidelobe detection threshold is set to the noise floor plus 6 dB. For example, if the average amplitude of the background noise in the current channel is 0.2, then the threshold is 0.2×1.995≈0.399. Count the number of samples higher than 0.399 in each window. If the number of sample points in the first left window of the second channel is 250 and the number of those with amplitudes greater than 0.399 is 48, then the statistical value of this window is 48. Repeat the statistical operation for all 10 windows, summarize the statistical results of all channels to obtain the total value of sidelobe samples. For example, the total is 426. Combine it with the main lobe pulse width and organize it into an amplitude distribution array of the structure. Among them, the main lobe width is 2.384 μs and the sidelobe statistical value is 426, and the amplitude statistical result of the frequency band structure is established.

[0034] Please refer to Figure 5 , the multi-frequency channel screening module includes: The ratio calculation sub-module obtains the main lobe width and the sidelobe sample values corresponding to each frequency band in the amplitude statistical result of the frequency band structure, performs the ratio calculation of the main lobe width and the sidelobe sample number for each frequency band respectively, and obtains the frequency band amplitude ratio sequence; Obtain the main lobe width and sidelobe sample values corresponding to each frequency band in the frequency band structure amplitude statistical results. In this process, it is necessary to first analyze the data of each frequency band recorded in the structure amplitude statistical results, clarify the integer values of each frequency band number, the unit of the main lobe width (usually microseconds), and the number of sidelobe samples. Define the main lobe width as the time interval covered by the echo waveform from the peak to the 3dB boundary. For example, the main lobe width of frequency band number F1 is 2.4 μs, and the number of sidelobe samples is 48. In a system with a sampling rate of 50 MHz, the corresponding time interval is 20 ns / sample. Therefore, the total time corresponding to the sidelobe samples is 0.96 μs. Here, divide the main lobe width by the total time of the sidelobe samples to obtain an amplitude ratio of 2.4 / 0.96 ≈ 2.5. This calculation process should be carried out for each frequency band, and for the main lobe width of each frequency band number and the number of sidelobe samples perform ratio calculations. During the process, it is necessary to perform time conversion on the number of sidelobe samples. It is necessary to clarify the sampling rate. If the sampling rate is 100 MHz, the time per sample is 10 ns. The unit should be corrected and converted to a unified time reference before the ratio calculation to avoid calculation errors caused by different units. After arranging the data of multiple frequency bands in order, a ratio sequence is formed, and the corresponding frequency band numbers are recorded for subsequent frequency band optimization operations. In actual engineering applications, for example, in a certain radar receiving module in the ranging mode, 10 frequency bands are used for echo acquisition, and the acquisition results are shown in Table 5

[0035] Table 5 Frequency Band Structure Amplitude Parameter Table As shown in Table 5, when calculating the ratio of F1, compare the main lobe width of 2.4 μs with the sidelobe time of 48×(1 / 50) μs = 0.96 μs to obtain a ratio of 2.5. Perform the same operation for the remaining frequency bands to obtain a complete frequency band amplitude ratio sequence

[0036] The frequency band screening sub-module compares each item of the frequency band amplitude ratio sequence with the frequency band signal-to-noise ratio threshold, identifies the frequency band numbers with ratios greater than the signal-to-noise ratio optimization threshold, and marks them as preferred frequency bands to obtain a set of high-priority frequency band numbers Compare each item according to the frequency band amplitude ratio sequence and the set frequency band signal-to-noise ratio threshold. In actual applications, this threshold depends on the sensitivity requirements of the receiving end and the interference environment conditions. For example, in typical long-range target detection, set the signal-to-noise ratio optimization threshold to 2.3. Frequency bands below this value will be considered to have insufficient channel energy or severe sidelobe interference. First, read each ratio one by one, such as F1 is 2.5, F2 is 2.4, F3 is 2.0, F4 is 2.3, and compare according to the rules. When the ratio > When this occurs, mark this frequency band as a high-priority frequency band. Therefore, F1 and F2 meet the conditions and are denoted as the high-priority frequency band number set F_you = {F1, F2}. During the execution process, to ensure the rigor of the calculation, it is necessary to reasonably set the threshold according to different scenarios. If a certain task is used for detecting strong interference backgrounds, the threshold can be appropriately increased to 2.6 to enhance the screening criteria. The threshold setting can be explained based on the following formula: Let the transmit power be 10W, the antenna gain be 20dB, the target distance be 1km, and the system noise temperature be 290K. According to the radar equation, the minimum detectable signal-to-noise ratio is estimated to be 12dB, which is approximately 15.85 when converted to a ratio. Considering the signal processing gain conversion and the actual detection tolerance, it is reasonable to set the threshold to 2.3 as a compromise. After completing this step, the high-priority frequency band number set marked as high-priority is obtained.

[0037] The priority generation sub-module counts the occurrence frequency of each high-priority frequency band within a specified period based on the high-priority frequency band number set, sorts them from high to low according to the occurrence frequency, and assigns a priority number to obtain the priority frequency band index sequence. Based on the high-priority frequency band number set, count the occurrence frequency of each frequency band within the detection period. Define the statistical period as the time period of each beam scan of the radar system. For example, the number of occurrences within 100ms is used as the measurement benchmark. Read the frequency band usage records within the period. For example, F1 is called 3 times within 100ms, and F2 is called 4 times. Count the occurrence times of each frequency band as F1 → 3 times, F2 → 4 times, and use this frequency as the main basis for priority numbering. The higher the frequency, the higher the priority. In the priority division, a descending order can be set. For example, F2 is priority 1 and F1 is priority 2. The priority numbers can be marked as P1, P2, etc. Generate the frequency band index sequence = {F2 → P1, F1 → P2}, and use it to drive the next round of radar working mode scheduling. In actual operation, attention should be paid to the rationality of the period setting. For example, when the target dynamics are strong, the detection period needs to be shortened to improve the response ability. Otherwise, a longer period can be used for stable statistics. After completing the above steps, the priority frequency band index sequence is obtained.

[0038] Please refer to Figure 6 , the transceiver control decision module includes: The transmit configuration sub-module extracts the frequency band numbers corresponding to the high-priority frequency bands based on the priority frequency band index sequence. According to the priority order, configure the pulse width parameters of each frequency band in the transmit control link, and set the transmit timing of each frequency band to obtain the frequency band transmit configuration value. Based on the priority frequency band index sequence, extract the frequency band numbers corresponding to the high-priority frequency bands. By establishing the mapping relationship between the frequency bands and the transmission parameters, set the parameter control items for each frequency band in pulse transmission. In the specific execution process, it is necessary to combine the pulse transmission scheduling mechanism to configure the corresponding transmission parameters for the priority frequency bands in sequence, such as pulse numbers, pulse widths, and time arrangements. For example, if the priority orders of the frequency band numbers 1, 2, and 3 are 3, 1, and 2 respectively, their pulse numbers can be configured as 1, 2, and 3 respectively, and at the same time, set the corresponding pulse widths to 1.2 microseconds, 1.0 microsecond, and 1.5 microseconds, and the corresponding transmission start times are 5.0 microseconds, 4.5 microseconds, and 6.0 microseconds respectively. The buffer length of each pulse duration can be set to vary from 10 to 15 microseconds according to the target detection requirements. Through this mapping, the transmission configurations of all high-priority frequency bands are integrated into a unified control plan, providing reference information for subsequent reception adjustment and obtaining the frequency band transmission configuration values.

[0039] The reception adjustment sub-module sets the start and end points of the reception buffer window for the high-priority frequency bands according to the frequency band transmission configuration values, sets the delayed reception state or turns off the reception function for the non-priority frequency bands, and updates the channel mapping table according to the frequency allocation structure within the current cycle to obtain the channel configuration synchronization coefficient sequence; According to the frequency band transmission configuration values, set the corresponding reception buffer windows for each high-priority frequency band. The start point of the buffer window is taken from the transmission set start point, and the buffer length is configured according to the target distance, system sampling rate, and pulse characteristics. Further collect the key time points during the reception process and calculate their distribution characteristics. For example, the transmission start point of frequency band 1 is 5.0 microseconds, the buffer length is 12.0 microseconds, and the recorded reception times are 5.2, 6.1, and 7.5 microseconds. The start point of frequency band 2 is 4.5 microseconds, the buffer is 10.0 microseconds, and the reception times are 4.6, 5.3, and 5.8 microseconds. Frequency band 3 is set with a start point of 6.0 microseconds and a buffer of 15.0 microseconds, and the corresponding reception times are 6.3, 6.9, and 7.7 microseconds. Then calculate the mean value of each group of reception times, perform difference processing and normalization adjustment on all reception times and their mean values, and then combine the pulse number, buffer length, and pulse width to construct the synchronization adjustment calculation process. Finally, obtain the synchronization adjustment factors for each frequency band, as shown in Table 6: Table 6 Synchronization Adjustment Factor Calculation Table As shown in Table 6, after considering the differences between the actual transmission configurations and the reception sampling points for different frequency bands, different synchronization adjustment factors are formed. This factor is used to guide the consistent scheduling of the transceiver channel configurations for each frequency band to obtain the channel configuration synchronization coefficient sequence.

[0040] The channel synchronization sub-module constructs the transceiver timing relationships for each frequency band according to the channel configuration synchronization coefficient sequence, matches the structure of the channel mapping table, and completes the integration of the synchronization mapping data for all frequency bands to generate the radar altitude measurement transceiver synchronization configuration table; According to the channel configuration synchronization coefficient sequence, construct the transceiver channel synchronization relationship for each frequency band, map the pulse number, reception window time, and synchronization factor of each frequency band to the system control channel number, and further establish a unified transceiver channel mapping table. During the execution process, according to the channel resource management structure, allocate independent transceiver physical channels for each high-priority frequency band. For example, the channel synchronization coefficient of frequency band 2 is 32.167, and its corresponding transceiver time span is from 4.5 to 14.5 microseconds, which is configured to channel group B, and the transmit control is mapped to channel group A. After all the mappings are completed, organize them into a control configuration list within the system task cycle. At the same time, optimize the resource interval between channels according to the frequency distribution structure to form a control list with periodicity, zoning, and dynamic regulation capabilities. This control list is finally used as the basic scheduling basis for radar task execution to generate a radar altitude measurement transceiver synchronization configuration table.

[0041] The above is only a preferred embodiment of the present invention and does not limit the present invention in other forms. Any person skilled in the art may use the disclosed technical content to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A radio frequency transceiver control system for radar altitude measurement, characterized in that, The system includes: The pulse adaptation control module acquires the radar received cycle echo amplitude sequence and time tags, extracts the minimum amplitude jump points, records the time intervals and amplitude differences before and after, makes a difference judgment according to the preset lower limit threshold of pulse width and the time interval, compresses the pulse width value, and generates pulse compression configuration data; The time resolution zoning module, based on the pulse compression configuration data, sorts the time tags of all jump points in ascending order and subtracts them in turn, conducts time interval statistical distribution analysis and resolution feasibility evaluation, records the number of resolvable jump points, and generates a time resolution support quantity; The echo structure recognition module, according to the target frequency band channel signal corresponding to the time resolution support quantity, acquires the echo waveform sample and determines the main lobe width, sets side lobe statistical windows on both sides of the main lobe and counts the number of samples exceeding the side lobe detection threshold, records the main lobe width and the total number of side lobe samples in each frequency band, and generates a frequency band structure amplitude statistical result; The multi-frequency channel screening module, according to the frequency band structure amplitude statistical result, calculates the ratio of the main lobe width to the side lobe sample value in each frequency band, compares the frequency band signal-to-noise ratio threshold to screen high-priority frequency bands, records the channel priority sorting order, and generates a priority frequency band index sequence.

2. The RF transceiver control system for radar altitude measurement according to claim 1, wherein The pulse compression configuration data includes the compressed pulse width value, the corresponding time interval, the time tag of the minimum amplitude jump point, the amplitude difference, and the pulse width reduction ratio parameter. The time resolution support quantity includes the number of resolvable jump points, the sparse interval span, the time interval distribution density, and the comparison result of the compressed pulse width and the resolution ability. The frequency band structure amplitude statistical result includes the main lobe width, the total number of side lobe samples, the side lobe distribution statistical window position, the main lobe center point position, and the left and right boundary time tags of the main lobe. The priority frequency band index sequence includes the high-priority frequency band number, the frequency band channel priority sorting order, the main-to-side lobe ratio of the frequency band, and the signal-to-noise ratio comparison mark.

3. The RF transceiver control system for radar altitude measurement according to claim 1, wherein The pulse adaptation control module includes: The amplitude sequence extraction sub-module acquires the echo amplitude sequence and corresponding time tags within the radar received cycle, merges and sorts the amplitude sequence in chronological order, and constructs a dual sequence of echo amplitude and time according to the time tags, generating an echo amplitude-time matching sequence; The jump point screening sub-module, based on the echo amplitude-time matching sequence, extracts the amplitude change values between any adjacent jump points, constructs an amplitude change list, calculates and sorts the amplitude differences for all change amounts, screens the minimum amplitude jump point, and records the time interval and amplitude difference before and after, generating a minimum jump difference group; The compression configuration generation sub-module, according to the minimum jump difference group, makes a difference judgment by combining the preset lower limit threshold of pulse width and the time interval. If the difference is greater than 0, the formula is used: ； Calculate the compressed pulse width value , and perform another difference judgment with the current time interval, and loop until the difference is not greater than 0. Record the compressed pulse width value and the time interval, and generate pulse compression configuration data, where represents the current original pulse width, represents the time interval before and after the current minimum jump point, represents the lower threshold of the pulse width, represents the minimum time resolution ability, represents the jump point the amplitude difference at the point, represents the jump point the corresponding original pulse width, is the number of jump points participating in the calculation.

4. The RF transceiver control system for radar altitude measurement according to claim 1, characterized in that, The time resolution zoning module includes: The time difference construction sub-module acquires the jump time sequence in the pulse compression configuration data, sorts the time tags of all jump points in ascending order, and conducts subtraction calculations between adjacent time tags in turn, constructing a jump time difference sequence; The interval statistics submodule divides the time difference range with a fixed time step according to the jump time difference sequence, performs histogram distribution statistics, and statistically compares the number of samples in different time intervals, selects the time interval with the least number of samples as the sparse interval, obtains the start and end time tags of the sparse interval and calculates the time span, and generates the sparse interval time span data; The resolution assessment submodule performs resolution feasibility assessment based on the sparse interval time span data and the current compressed pulse width value, using the formula: ； Calculate the resolution contrast value , calculate the number of interpretable jump points according to the resolution contrast value, count the number of jump points with an interval greater than the compression pulse width in the sparse interval, and obtain the time resolution support amount, where represents the time span of the sparse interval, represents the jump point 's amplitude change amount, represents the average echo intensity before and after the jump point location, represents the compression pulse width value, represents the jump point 's time tag, represents the arithmetic mean of the time tags of all jump points in the sparse interval, represents the number of jump points.

5. The RF transceiver control system for radar altitude measurement according to claim 1, characterized in that, The echo structure recognition module comprises: The main lobe positioning submodule collects echo waveform samples in a channel-parallel manner according to the target frequency band channel signal corresponding to the time-resolved support amount, detects the maximum amplitude point in each channel, marks it as the center position, and obtains the main lobe center time label sequence; The main lobe extraction submodule locates the continuous samples in the left and right directions of the maximum amplitude point in the corresponding channel based on the main lobe center time tag sequence, makes a difference judgment between the amplitude and the 3dB point of the peak value, and determines the time tag when the signal amplitude is first lower than 3dB as the left and right boundaries, using the formula: ； Calculate and generate the main lobe pulse width , where and represent the time tags of the right and left boundaries of the main lobe respectively, represents the echo amplitude of the k-th sample point, represents the amplitude of the center point in the k-th channel, is the main lobe center time tag in the k-th channel, represents the number of parallel channels; The sidelobe statistics submodule sets statistical windows equidistantly on the left and right sides of the main lobe of each channel according to the main lobe pulse width, compares the echo sample amplitude in each window with the sidelobe detection threshold, counts the number of sample points exceeding the sidelobe detection threshold and accumulates all channel data to obtain the total number of sidelobe samples, which is sorted and summarized in combination with the main lobe pulse width to establish the frequency band structure amplitude statistics.

6. The RF transceiver control system for radar altitude measurement according to claim 1, characterized in that, The multi-frequency channel screening module comprises: The ratio calculation submodule obtains the main lobe width and side lobe sample values ​​corresponding to each frequency band in the frequency band structure amplitude statistics, and performs the ratio calculation of the main lobe width and the side lobe sample number on each frequency band to obtain a frequency band amplitude ratio sequence; The frequency band screening submodule compares the frequency band amplitude ratio sequence with the frequency band signal-to-noise ratio threshold item by item, identifies the frequency band number whose ratio is greater than the signal-to-noise ratio preferred threshold, and marks it as a preferred frequency band, thereby obtaining a high-preferred frequency band number set; The priority sequence generation submodule counts the occurrence frequency of each high priority frequency band in a specified period based on the high priority frequency band number set, sorts them from high to low according to the occurrence frequency and assigns priority numbers to obtain a priority frequency band index sequence.

7. The RF transceiver control system for radar altitude measurement according to claim 1, characterized in that The system also includes a transceiver control decision module.

8. The RF transceiver control system for radar altitude measurement according to claim 7, wherein, The transceiver control decision module configures the corresponding pulse width parameters and the start and end points of the receiving buffer window for the high-priority frequency band in the transmission link based on the priority frequency band index sequence, sets the delayed reception or closed state for the non-preferential frequency band and updates the frequency channel mapping table to generate a radar altitude measurement transceiver synchronization configuration table.

9. The RF transceiver control system for radar altitude measurement according to claim 8, characterized in that, The radar height measurement receiving and transmitting synchronization configuration table includes frequency band pulse width configuration parameters, receiving buffer window start and end points, non-optimal frequency band receiving state control instructions, and frequency channel mapping update information.

10. The RF transceiver control system for radar altitude measurement according to claim 8, characterized in that, The transceiver control decision module includes: The transmission configuration submodule extracts the frequency band number corresponding to the high-priority frequency band based on the priority frequency band index sequence, configures the pulse width parameter of each frequency band in the transmission control link according to the priority order, sets the transmission timing of each frequency band, and obtains the frequency band transmission configuration value; The receiving adjustment sub-module sets the start and end points of the receiving buffer window for the high-priority frequency band according to the frequency band transmission configuration value, sets the delayed reception state or turns off the reception function for the non-priority frequency band, and updates the channel mapping table according to the frequency allocation structure in the current cycle to obtain the channel configuration synchronization coefficient sequence; The channel synchronization sub-module constructs the transceiver timing relationship for each frequency band according to the channel configuration synchronization coefficient sequence, matches the channel mapping table structure, completes the integration of synchronization mapping data for all frequency bands, and generates a radar altitude measurement transceiver synchronization configuration table.

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