A radio frequency transceiver control system for radar altitude measurement

Abstract

The present invention relates to the field of radio frequency transceiver control technology, specifically a radio frequency transceiver control system for radar height measurement, the system including a pulse adaptation control module, a time resolution partitioning module, an echo structure recognition module, a multi-frequency channel screening module, and a transceiver control decision module. In the present invention, by dynamically extracting the echo amplitude jump point and compressing the pulse width, the time domain separation capability can be improved, the recognition accuracy of adjacent targets 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, the adaptability to different echo densities is enhanced, a structure recognition window is established around the main lobe maximum value, the number of side lobe sample excesses is counted, the accuracy of signal morphological structure recognition is improved, the main lobe sample ratio is combined with the signal-to-noise ratio threshold for frequency band screening, a channel priority sequence is formed, and the flexibility, accuracy and spectrum utilization efficiency of signal processing in the radar height measurement process are enhanced.

Description

Technical Field

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

[0002] The field of RF transceiver control technology includes a technical system for controlling the transmission and reception processes of radio frequency band signals. The core content is to achieve precise management and conversion of electromagnetic wave signals in different applications by controlling the signal generation, modulation, transmission, reception and demodulation processes in RF circuits. It covers RF signal source control, frequency synthesis, power control, receiving sensitivity adjustment, frequency selectivity management and related hardware circuit design. It is widely used in communication, navigation, radar and other systems. In particular, in radar systems, its control accuracy and signal stability play a key role in overall performance.

[0003] The RF transceiver control system for radar altitude measurement refers to the RF control unit used to transmit and receive signals during radar altitude measurement. It primarily covers the setting and stabilization of the transmit frequency, frequency selection and gain adjustment of the receive channel, transmit / receive time synchronization control, echo signal gating management, and signal coupling and switching between the antenna and the system. Stable operating frequency generation is achieved through a phase-locked loop frequency synthesizer. Signal flow control from transmission to reception is achieved by adjusting transmit power and receive gain, and controlling the switching of RF paths. The receiving unit is guided to set the receive window and center frequency band based on parameters such as the echo signal's delay and strength, ensuring effective capture of altitude information.

[0004] Existing radar altitude measurement RF transceiver control systems rely on fixed parameter configurations and periodic control modes during radar signal processing. These systems lack active recognition and response strategies for amplitude variations between echo samples, leading to ambiguous identification of waveform overlap and limiting the scope for pulse compression. The time processing logic fails to perform structural segmentation based on transition point differences, lacking adaptability to sparse or densely distributed scenarios in the time domain, and is prone to misjudgment of resolution. Frequency band structure identification relies solely on mainlobe energy intensity, ignoring the impact of sidelobe spurious interference, resulting in unclear target identification boundaries. In channel screening, the application of signal-to-noise ratio (SNR) is limited, lacking a structural feature-based ratio judgment basis. This results in a lack of priority differentiation in spectrum allocation and inefficient frequency band scheduling. When faced with environmental changes or multi-target interference, traditional methods experience lags in signal distribution judgment and channel configuration response, leading to wasted signal resources or reception failures, impacting the effectiveness and stability of altitude measurement in complex environments. Summary of the Invention

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

[0006] In order to achieve the above object, the present invention adopts the following technical solution: A radio frequency transceiver control system for radar altitude measurement includes:

[0007] The pulse adaptation control module obtains the radar receiving period echo amplitude sequence and time tag, extracts the minimum amplitude jump point and records the time interval and amplitude difference before and after, makes a difference judgment based on the preset pulse width lower limit threshold and time interval, compresses the pulse width value, and generates pulse compression configuration data;

[0008] The time resolution partitioning module arranges all the transition point time labels in ascending order and subtracts them sequentially based on the pulse compression configuration data, performs time interval statistical distribution analysis and resolution feasibility assessment, records the number of resolvable transition points, and generates a time resolution support amount;

[0009] The echo structure identification module obtains echo waveform samples and determines the main lobe width based on the target frequency band channel signal corresponding to the time-resolved support amount, 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 frequency band structure amplitude statistics;

[0010] The multi-frequency channel screening module calculates the ratio of the main lobe width to the side lobe sample value of each frequency band based on the frequency band structure amplitude statistics, compares the frequency band signal-to-noise ratio threshold to screen the high-priority frequency band, records the channel priority sorting order, and generates a priority frequency band index sequence.

[0011] As a further solution of the present invention, the pulse compression configuration data includes the compressed pulse width value, the corresponding time interval, the minimum amplitude jump point time label, the amplitude difference, and the pulse width reduction ratio parameter; the time resolution support includes the number of resolvable jump points, the sparse interval span, the time interval distribution density, and the compressed pulse width and resolution capability comparison results; the frequency band structure amplitude statistical results include 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 main lobe left and right boundary time labels; the priority frequency band index sequence includes the high priority frequency band number, the frequency band channel priority sorting order, the frequency band main-side lobe ratio, and the signal-to-noise ratio comparison mark.

[0012] As a further solution of the present invention, the pulse adaptation control module includes:

[0013] The amplitude sequence extraction submodule obtains the echo amplitude sequence and corresponding time tags within the radar receiving cycle, merges and sorts the amplitude sequence in chronological order, and constructs a dual sequence of echo amplitude and time based on the time tag to generate an echo amplitude-time matching sequence;

[0014] The jump point screening submodule 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 of all changes, screens the minimum amplitude jump point, and records the time interval and amplitude difference before and after, to generate a minimum jump difference group;

[0015] 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:

[0016] ;

[0017] Calculate the compressed pulse width , and make another difference judgment with the current time interval, and execute the loop 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.

[0018] As a further solution of the present invention, the time-resolved partitioning module includes:

[0019] The time difference construction submodule obtains the transition time sequence in the pulse compression configuration data, arranges the time labels of all transition points in ascending order, and performs subtraction calculations between adjacent time labels in sequence to construct a transition time difference sequence;

[0020] The interval statistics submodule divides the time difference range into fixed time steps according to the jump time difference sequence, performs histogram distribution statistics, and statistically compares the number of samples in different time intervals. The time interval with the least number of samples is selected as the sparse interval, the start and end time tags of the sparse interval are obtained, and the time span is calculated to generate the sparse interval time span data;

[0021] 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:

[0022] ;

[0023] Calculate the resolution contrast value , the number of readable transition points is calculated according to the resolution contrast value, and the number of transition points with intervals greater than the compressed pulse width in the sparse interval is counted to obtain the time-resolved support value, where, represents the time span of the sparse interval, Represents the trip point The amplitude change, Represents the trip point The average echo intensity before and after represents the compressed pulse width value, Represents the trip point Time tag, Represents the arithmetic mean of all the jump point time labels in the sparse interval, Indicates the number of trip points.

[0024] As a further solution of the present invention, the echo structure recognition module includes:

[0025] 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 tag sequence;

[0026] 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, performs a difference judgment on the amplitude and the 3dB point of the peak, and determines the time tag where the signal amplitude first falls below 3dB as the left and right boundaries using the formula:

[0027] ;

[0028] Calculate and generate the main lobe pulse width ,in, and Respectively represent the time tags of the right and left boundaries of the main lobe, represents the echo amplitude of the kth sample point, represents the amplitude of the center point in the kth channel, is the time label of the main lobe center in the kth channel, Indicates the number of parallel channels;

[0029] 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, organizes and summarizes them in combination with the main lobe pulse width, and establishes the frequency band structure amplitude statistical results.

[0030] As a further solution of the present invention, the multi-frequency channel screening module includes:

[0031] 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, performs the ratio calculation of the main lobe width and the number of side lobe samples on each frequency band, and obtains a frequency band amplitude ratio sequence;

[0032] The frequency band screening submodule compares the frequency band amplitude ratio sequence with the frequency band signal-to-noise ratio threshold one by one, identifies the frequency band numbers whose ratios are greater than the signal-to-noise ratio preferred threshold, marks them as preferred frequency bands, and obtains a set of high-preferred frequency band numbers;

[0033] The priority sequence generation submodule 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, assigns priority numbers, and obtains a priority frequency band index sequence.

[0034] As a further solution of the present invention, the system further includes a transceiver control decision module.

[0035] As a further solution of the present invention, the transceiver control decision module configures the corresponding pulse width parameters and the start and end points of the receiving buffer window in the transmission link for the high-priority frequency band 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.

[0036] As a further solution of the present invention, the radar altitude measurement transceiver synchronization configuration table includes frequency band pulse width configuration parameters, receive buffer window start and end points, non-preferred frequency band receive status control instructions, and frequency channel mapping update information.

[0037] As a further solution of the present invention, the transceiver control decision module includes:

[0038] 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 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;

[0039] The receiving adjustment submodule sets the start and end points of the receiving buffer window for the high-preferred frequency band according to the frequency band transmission configuration value, sets the delayed receiving state or disables the receiving function for the non-preferred 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;

[0040] The channel synchronization submodule constructs the transmission and reception timing relationship of each frequency band according to the channel configuration synchronization coefficient sequence, matches the channel mapping table structure, completes the synchronization mapping data integration for all frequency bands, and generates the radar height measurement transmission and reception synchronization configuration table.

[0041] Compared with the prior art, the advantages and positive effects of the present invention are:

[0042] In the present invention, by dynamically extracting the echo amplitude jump point and compressing the pulse width, the time domain separation capability can be improved, the recognition accuracy of adjacent targets 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, the adaptability to different echo densities is enhanced, a structure recognition window is established around the main lobe maximum value, the number of side lobe sample excesses is counted, the accuracy of signal morphological structure recognition is improved, the main lobe and side lobe sample ratio is combined with the signal-to-noise ratio threshold for frequency band screening, the channel priority sequence is formed, the spectrum allocation effect is optimized, and a multi-dimensional judgment basis is constructed around the jump characteristics, time domain distribution and structure recognition, thereby enhancing the flexibility, accuracy and spectrum utilization efficiency of signal processing in the radar height measurement process. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a system flow chart of the present invention;

[0044] Figure 2 This is a flow chart of the pulse adaptation control module of the present invention;

[0045] Figure 3 This is a flow chart of the time-resolved partitioning module of the present invention;

[0046] Figure 4 This is a flow chart of the echo structure recognition module of the present invention;

[0047] Figure 5 This is a flow chart of the multi-frequency channel screening module of the present invention;

[0048] Figure 6 This is a flow chart of the transceiver control decision module of the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, 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 intended to limit the present invention.

[0050] In the description of the present invention, it should be understood that the terms "length," "width," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inside," "outside," and the like, indicating positions or relationships, are based on the positions or relationships shown in the accompanying drawings and are intended only to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, in the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

[0051] See also Figure 1 , a radio frequency transceiver control system for radar altitude measurement includes:

[0052] The pulse adaptation control module obtains the echo amplitude sequence and time tags within the radar receiving cycle, 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. It then determines the difference between the preset pulse width lower limit threshold (this threshold is the minimum allowable pulse width standard for the radar system, usually defined by hardware transmitter characteristics or International Telecommunication Union frequency band specifications) and the time interval. If the difference is greater than 0, the original pulse width is proportionally reduced by a factor (the reduction factor is determined by a dynamic pulse width compression algorithm, and its value depends on the ratio of the current time interval to the system's minimum time resolution capability. 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). The update is terminated until the difference is no longer greater than 0, and the compressed pulse width value and the corresponding time interval are recorded to generate pulse compression configuration data.

[0053] The time-resolved partitioning module, based on the transition time series in the pulse compression configuration data, arranges all transition point time labels in ascending order and subtracts them sequentially to construct a continuous time difference series. It then performs a time interval statistical distribution analysis on the difference series (performing a histogram of the time difference series to divide it into sparse and dense time intervals). It then selects a time interval with the fewest samples and compares it with the current compressed pulse width to assess the resolution feasibility (by comparing the time span of the sparse interval with the compressed pulse width, determining whether the interval supports the radar's range resolution capability). It then records the number of resolvable transition points within the time period to generate a time-resolved support value.

[0054] The echo structure identification module obtains echo waveform samples in parallel based on the target frequency band channel signal corresponding to the time-resolved support. The module locates the mainlobe range with the maximum amplitude point in each channel as the center and extracts the left and right consecutive sample intervals above the threshold as the mainlobe width (the mainlobe width is defined as the time difference between the left and right boundaries when the echo signal amplitude drops from the peak to 3dB (power is halved). The left and right boundaries are determined by detecting the point where the signal amplitude first drops below 3dB of the peak). Five sidelobe statistical windows are set on each side of the mainlobe. The number of samples exceeding the sidelobe detection threshold (this threshold is usually set to the noise floor intensity plus 3-6dB, the specific value is determined by the receiver sensitivity calibration) is counted. The mainlobe width and the total number of sidelobe samples in each frequency band are recorded to generate frequency band structure amplitude statistics.

[0055] The multi-frequency channel screening module calculates the ratio of the main lobe width and side lobe sample value of each frequency band based on the frequency band structure amplitude statistics, and compares it with the frequency band signal-to-noise ratio threshold (the minimum detectable signal-to-noise ratio calculated by the radar equation, involving parameters such as transmit power, antenna gain, target distance and ambient noise). The module selects the frequency band number with a ratio greater than the signal-to-noise ratio priority threshold and marks it as a high-priority frequency band. It also records the channel priority sorting order of the corresponding frequency band within the cycle and generates a priority frequency band index sequence.

[0056] The transmit-receive 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 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 the radar height measurement transmit-receive synchronization configuration table.

[0057] The pulse compression configuration data includes the compressed pulse width value, the corresponding time interval, the minimum amplitude jump point time label, the amplitude difference, and the pulse width reduction ratio parameter. The time resolution support includes the number of resolvable jump points, the sparse interval span, the time interval distribution density, and the comparison results of the compressed pulse width and resolution capability. The frequency band structure amplitude statistical results include the main lobe width, the total number of sidelobe samples, the sidelobe distribution statistical window position, the main lobe center point position, and the main lobe left and right boundary time labels. The priority band index sequence includes the high-priority band number, the frequency band channel priority sorting order, the frequency band main-sidelobe ratio, and the signal-to-noise ratio comparison mark. The radar altitude measurement transceiver synchronization configuration table includes the frequency band pulse width configuration parameters, the start and end points of the receive buffer window, the non-preferred frequency band receive status control instructions, and the frequency channel mapping update information.

[0058] See also Figure 2 , the pulse adaptation control module includes:

[0059] The amplitude sequence extraction submodule obtains the echo amplitude sequence and corresponding time tags within the radar receiving cycle, merges and sorts the amplitude sequence in chronological order, and constructs a dual sequence of echo amplitude and time based on the time tag to generate an echo amplitude-time matching sequence;

[0060] To obtain the echo amplitude sequence and corresponding time tags within the radar receiving cycle, the system first obtains the echo signal from the radar front-end receiving module and converts the analog signal into a digital signal through the ADC module to form a preliminary data frame. The data frame contains the amplitude value received per unit time and the corresponding time tag. For example, the radar samples once every 0.1μs, and the data obtained is shown in the following table. The sequence length is limited to 2μs according to the time range. A total of 20 sampling points are collected, and the amplitude and time values ​​are recorded at each point:

[0061] Table 1 Example of echo amplitude and time label

[0062]

[0063] The above time tags are arranged in ascending time order and mapped to 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 to 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.

[0064] The jump point screening submodule 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 of all changes, screens the minimum amplitude jump point, and records the time interval and amplitude difference before and after, generating a minimum jump difference group;

[0065] 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: perform difference processing 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, forming 19 difference items, then sort the difference items in ascending order, and filter out the smallest amplitude jump value item. If there are multiple minimum values, extract the earliest one, record the time tags and amplitude values ​​before and after the jump point to form a jump pair, and 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 tag is 0.2–0.3μs, and the amplitude change drops 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.

[0066] 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:

[0067] ;

[0068] Calculate the compressed pulse width , and make another difference judgment with the current time interval, and execute the loop 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;

[0069] According to the minimum jump difference group, the difference between its time interval 0.1μs and the pulse width lower limit threshold 0.6μs set by the system is judged. The difference is , the judgment result is less than the threshold, 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:

[0070] Table 2 Compression calculation parameters

[0071]

[0072] The parameters are substituted as follows:

[0073] , ;

[0074] , ;

[0075] ;

[0076] Then calculate the compressed pulse width:

[0077] ;

[0078] The results show that the compressed pulse width under the current jump point conditions is 2.5134μs. The system determines that this value is smaller than the original pulse width and the compression amplitude meets the control standard. It then records the compressed pulse width and the corresponding jump point time interval, and finally generates the pulse compression configuration data.

[0079] The operational logic of this formula is to construct a dynamic adjustment pulse width compression mechanism, which uses the multiplication form To be based on the current pulse width Perform proportional reduction so that the updated pulse width It is adjusted linearly with the difference and compression factor. The part inside the bracket is the compression factor, and its numerator is Represents the difference between the current jump point time interval and the pulse width lower limit threshold. The square root of the absolute value is taken to smooth the difference change and avoid drastic changes in the compression ratio due to excessive difference fluctuations. The denominator contains the system's minimum time resolution capability. Sum the absolute value of the ratio of amplitude to pulse width at the transition point The former reflects the lower limit of the system's time measurement capability, while the latter quantifies the coupling strength between the severity of the jump and the signal width. The summation representation is used to integrate the information of multiple jump points to stabilize the compression coefficient. The overall structure couples the time difference with the signal amplitude change in 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 change of signal characteristics, ultimately realizing a detailed and controllable dynamic compression mechanism.

[0080] See also Figure 3 , the time-resolved partitioning module includes:

[0081] The time difference construction submodule obtains the transition time sequence in the pulse compression configuration data, arranges the time tags of all transition points in ascending order, and performs subtraction calculations between adjacent time tags in sequence to construct a transition time difference sequence;

[0082] Get the jump time series in the pulse compression configuration data, and arrange the time tags of all jump points in ascending order. First, extract the jump time series in the data source according to the time tags and sort them in chronological order. In actual operation, the jump point time tags recorded in a radar pulse cycle can be set as an array After sorting, keep the original sequence order, and then calculate the difference between adjacent time tags in sequence, that is, subtract the previous tag from the next tag to obtain the time difference, forming a time difference sequence Microseconds, this operation can be achieved through traversal operation, assuming the original time series is , then the time difference series , using an example to illustrate, if a group of jump time is microseconds, then Microseconds. This sequence will be used as the basic data for time distribution to ensure that the relationship between sampling points and transition points is not ignored due to noise or sampling interval errors. To improve data rationality, each set of data contains at least 5 transition time tags. In actual sampling, the acquisition of transition points is usually based on the phase jump in the reflected wave collected by the radar receiver, and is achieved through the amplitude mutation point or phase envelope difference threshold. Assuming that the system pulse repetition frequency is 10 kHz and the cycle time is 100 microseconds, the above sequences are all recorded within 100 microseconds. After the time difference sequence is output, it is the transition time difference sequence generated in this module stage.

[0083] The interval statistics submodule divides the time difference range into fixed time steps according to the jump time difference sequence, performs histogram distribution statistics, and compares the number of samples in different time intervals. It selects the time interval with the least number of samples as the sparse interval, obtains the start and end time labels of the sparse interval, calculates the time span, and generates the sparse interval time span data.

[0084] According to the jump time difference sequence, the time difference range is divided with a fixed time step, and histogram distribution statistics are performed. First, the maximum and minimum ranges of the time difference are selected for interval segmentation. The maximum value is 2.4 microseconds, the minimum value is 0.1 microseconds, and the step size can be set to 0.5 microseconds. The entire interval is divided, that is, the time difference is divided into five intervals [0–0.5), [0.5–1.0), [1.0–1.5), [1.5–2.0), and [2.0–2.5). The number of samples in each interval is counted. For example, in the array [0.3, 0.7, 1.4, 1.9, 2.3, 0.6, 1.0], the distribution frequency in each interval is 1, 2, 2, 1, 1, respectively. According to the number of samples, The minimum principle is used to select the time period with 1 sample as the sparse interval. Then, [0–0.5), [1.5–2.0), and [2.0–2.5) are candidate sparse intervals. The main sparse interval is further selected based on the average amplitude difference or the lowest frequency density. The minimum and maximum time labels in this interval are extracted and the difference is calculated. If the interval labels are 2.1 microseconds and 2.5 microseconds, the time span of this sparse interval is 0.4 microseconds, which serves as a reference standard for subsequent comparison with the compressed pulse width. See the table below for a summary of the statistical results of each interval:

[0085] Table 3 Sparse interval statistics

[0086]

[0087] As shown in Table 3, the interval [2.0–2.5) has the least samples and a span of 0 microseconds. This interval can be selected as a sparse interval. The time span of the sparse interval obtained by calculating the difference between time tags will be used as the basis for feasibility judgment in the next step.

[0088] 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:

[0089] ;

[0090] Calculate the resolution contrast value (dimensionless resolution contrast coefficient, used to quantify the target resolution capability in the sparse interval). The number of readable transition points is calculated based on the resolution contrast value. The number of transition points with intervals greater than the compressed pulse width in the sparse interval is counted to obtain the time resolution support. represents the time span of the sparse interval, Represents the trip point The amplitude change, Represents the trip point The average echo intensity before and after represents the compressed pulse width value, Represents the trip point Time tag, Represents the arithmetic mean of all the jump point time labels in the sparse interval, Represents the number of jump points;

[0091] Based on the time span of the sparse interval and the current compressed pulse width value, the resolution feasibility assessment is performed. The current sparse interval time span is set to =0.4μs, compressed pulse width value =0.3μs, number of trip points , the jump point amplitude change array is , the array of mean echo intensity of each jump point is , the time label of the transition point is , whose arithmetic mean is μs, substitute into the formula:

[0092] ;

[0093] The results show that the current sparse interval distribution cannot support the compressed pulse width to resolve the jump point, and the pulse configuration needs to be further adjusted. Finally, the number of jump points with jump intervals greater than the compressed pulse width value is counted to generate the time-resolved support.

[0094] The operational logic of this formula is to integrate multiple key physical quantities to normalize the factors affecting the radar time resolution capability, among which the numerator part is Indicates the difference between the time span of the sparse interval and the energy integration value of the jump point, by calculating the amplitude change of each jump point The corresponding echo intensity mean The point-by-point product is performed, and the product results are summed and then the cube root is taken. 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 its large size, and to strengthen the reflection of weak jump points; and the denominator part Considering the compressed pulse width The deviation from the time label of the jump point. The latter reflects the degree of discreteness of the jump point in the interval through the absolute difference between each time label and the time mean, and averages them to form a measure of distribution uniformity. Finally, the deviation term is added to the compressed pulse width to form a comprehensive time resolution width benchmark. The entire formula reflects the degree of offset between the sparse time span and the discrete energy density of the jump point in the form of the absolute value ratio of the numerator and the denominator, thereby establishing a resolvable evaluation index for sparse partitions.

[0095] See also Figure 4 , the echo structure recognition module includes:

[0096] The main lobe positioning submodule collects echo waveform samples in a channel-parallel manner based on the target frequency band channel signal corresponding to the time-resolved support, detects the maximum amplitude point in each channel, marks it as the center position, and obtains the main lobe center time tag sequence;

[0097] Based on the target frequency band channel signal corresponding to the time-resolved support, multiple echo channels are collected in parallel according to channel division. The acquisition equipment is arranged in groups of 10 channels, with the sampling frequency of each channel set to 50 MHz and the signal sampling time range set to 0–100 μs. This generates waveform sample data with 5000 sampling points per channel. The waveform data of each channel is then normalized, and the point with the maximum amplitude is extracted as the basis for center positioning. It is necessary to traverse the 5000 sampling points of each channel and determine whether the amplitude of the current point is greater than the adjacent points before and after and reaches the maximum value of the channel, thereby confirming the main lobe center point. For example, the amplitude of the 3458th sampling point of the 7th channel is 0.96, which is higher than the amplitudes of its adjacent points of 0.94 and 0.91. It is marked as the main lobe center. This operation is performed one by one on multiple channels to form a set of main lobe center time label sequences. For example, the main lobe center of channel 1 appears at t=32.6 μs, and that of channel 2 appears at t=33.1 μs. And so on, the following data is obtained:

[0098] Table 4 Main lobe center time label table

[0099]

[0100] As shown in Table 4, the mainlobe center time tags of each channel fall between 30 and 35 μs, indicating that the radar target forms a clear mainlobe response within this time window. Its main reflection position can be located through detection, which then serves as the time reference for subsequent mainlobe range determination and generates a mainlobe center time tag sequence.

[0101] 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 where the signal amplitude first falls below 3dB as the left and right boundaries using the formula:

[0102] ;

[0103] Calculate and generate the main lobe pulse width ,in, and Respectively represent the time tags of the right and left boundaries of the main lobe, represents the echo amplitude of the kth sample point, represents the amplitude of the center point in the kth channel, is the time label of the main lobe center in the kth channel, Indicates the number of parallel channels;

[0104] Based on the main lobe center time tag sequence, the center point of each channel is selected to extend to the left and right directions, and samples are extracted according to the set amplitude threshold value. The threshold value is set to the amplitude where the main lobe peak drops 3dB. Assuming that the left and right boundaries of the main lobe of channel 3 are located at , , then the base width is ,like , , , the correction term is:

[0105] ;

[0106] If the average of the five channels is 7.92, then

[0107] ;

[0108] The result shows that the main lobe pulse width is 2.384μs, reflecting that the time interval occupied by the main lobe is relatively concentrated under the current conditions. It can be used for subsequent combined analysis with the side lobe statistical structure to obtain the main lobe pulse width.

[0109] The calculation logic of this formula is designed to comprehensively evaluate the main lobe time span and its cross-channel amplitude offset effect. Represents the time difference between the left and right boundaries of the main lobe, directly quantifies the basic width characteristics of the main lobe in a single channel, and then introduces a weighted correction term , where the absolute value It is used to indicate the degree of deviation between the sample amplitude and the main lobe center amplitude in each channel. The difference reflects the symmetry of the waveform main lobe shape and the energy concentration. Then, the square root operation is used to amplify the influence of the weak deviation, thereby generating a sensitive response to the asymmetric main lobe. Then, the time label is With sample amplitude Division and multiplication operations are performed to form the time-amplitude joint weight within the channel. This product term expresses that the farther the sample position and the weaker the amplitude, the greater the impact on the main lobe judgment. Finally, by averaging all channels, a global correction factor is obtained. Adding it to the basic time difference can form the main lobe time width adjusted under the influence of amplitude deviation, reflecting the width characterization method composed of the main lobe boundary and the channel energy distribution.

[0110] The sidelobe statistics submodule sets statistical windows equidistantly on the left and right sides of the main lobe of each channel according to the mainlobe pulse width. It 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 the data of all channels to obtain the total number of sidelobe samples. It then summarizes the data based on the mainlobe pulse width to establish the frequency band structure amplitude statistics.

[0111] According to the mainlobe pulse width, five equal-width statistical windows are set on its left and right sides with a step size of 0.5μs. The amplitude of the sample points in each window is scanned in turn. The sidelobe detection threshold is set to the noise floor plus 6dB. For example, if the average background noise amplitude of the current channel is 0.2, the threshold is 0.2×1.995≈0.399. The number of samples with amplitudes above 0.399 in each window is counted. If the number of sample points in the first left window of the second channel is 250, of which 48 have amplitudes greater than 0.399, the statistical value of this window is 48. Repeat the statistical operation for all 10 windows, and summarize the statistical results of all channels to obtain the total number of sidelobe samples. For example, the total is 426. Combined with the mainlobe pulse width, the structure is organized into a structural amplitude distribution array, where the mainlobe width is 2.384μs and the sidelobe statistical value is 426. The frequency band structural amplitude statistical results are established.

[0112] See also Figure 5 , the multi-frequency channel screening module includes:

[0113] 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 number of side lobe samples on each frequency band to obtain the frequency band amplitude ratio sequence;

[0114] Obtain the mainlobe width and sidelobe sample values ​​corresponding to each frequency band in the frequency band structure amplitude statistics. In this process, it is necessary to first parse the frequency band data recorded in the structure amplitude statistics, clarify the integer value of each frequency band number, mainlobe width unit (usually microseconds) and number of sidelobe samples, and define the mainlobe width as the time interval covered by the echo waveform dropping from the peak to the 3dB boundary. For example, the mainlobe width of frequency band number F1 is 2.4μs, and the number of sidelobe samples is 48. In a system with a sampling rate of 50MHz, the corresponding time interval is 20ns / point, so the total time corresponding to the sidelobe samples is 0.96μs. Here, the mainlobe width is divided 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 performed frequency band by frequency band, and the mainlobe width of each frequency band number is calculated. and number of sidelobe samples To calculate the ratio, the sidelobe sample number needs to be time-converted, and the sampling rate needs to be specified. If the sampling rate is 100 MHz, the time per point is 10 ns. The unit should be corrected and converted to a unified time base before the ratio calculation to avoid calculation deviations due to different units. Multiple frequency band data are arranged in sequence to form a ratio sequence, and the corresponding frequency band numbers are recorded to facilitate subsequent frequency band optimization operations. In actual engineering applications, for example, a radar receiving module uses 10 frequency bands for echo acquisition in ranging mode. The acquisition results are shown in Table 5.

[0115] Table 5 Frequency band structure amplitude parameter table

[0116]

[0117] As shown in Table 5, when calculating the F1 ratio, the main lobe width of 2.4 μs is compared with the side lobe time of 48 × (1 / 50) μs = 0.96 μs, resulting in a ratio of 2.5. The same operation is performed for the remaining frequency bands to obtain a complete frequency band amplitude ratio sequence.

[0118] 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 numbers whose ratio is greater than the signal-to-noise ratio optimization threshold, and marks them as the preferred frequency bands, thus obtaining a set of high-priority frequency band numbers;

[0119] The frequency band amplitude ratio sequence is compared with the set frequency band signal-to-noise ratio threshold. In practical applications, the threshold It depends on the sensitivity requirements of the receiving end and the interference environment conditions. For example, in typical long-range target detection, the signal-to-noise ratio threshold is set to 2.3. The frequency band below this value will be regarded as insufficient channel energy or serious sidelobe interference. First, read the ratios one by one, such as F1 is 2.5, F2 is 2.4, F3 is 2.0, and F4 is 2.3. Compare them according to the rules. When the ratio is > When , the frequency band is marked as a high-preferred frequency band, so F1 and F2 meet the conditions, and are recorded as the high-preferred frequency band number set Fpreferred = {F1, F2}. During the execution process, in order to ensure the rigor of the calculation, the threshold needs to be reasonably set in combination with different scenarios. If a task needs to be used for strong interference background detection, the threshold can be appropriately increased to 2.6 to enhance the screening standard. The threshold setting can be explained based on the following formula: Let the transmission 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 converted to a ratio of about 15.85. Considering the signal processing gain conversion and the actual detection tolerance, the compromise setting of the threshold to 2.3 is reasonable. After completing this step, the high-preferred frequency band number set marked as high-preferred is obtained.

[0120] The priority sequence generation submodule 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, assigns priority numbers, and obtains the priority frequency band index sequence;

[0121] Based on the set of high-priority frequency band numbers, the frequency of occurrence of each frequency band within the detection cycle is counted. The statistical cycle is defined as the time period of each radar system beam scan. For example, the number of occurrences within 100ms is used as the measurement benchmark. The frequency band usage records within the cycle are read. For example, if F1 is called 3 times and F2 is called 4 times within 100ms, the number of occurrences of each frequency band is counted as F1→3 times and F2→4 times. Priority numbering is based on this frequency. The higher the frequency, the higher the priority. In the priority division, descending order can be set, such as F2 is priority 1 and F1 is priority 2. The priority numbers can be labeled P1, P2, and so on. The frequency band index sequence = {F2→P1, F1→P2} is generated and used to drive the next round of radar operating mode scheduling. In actual operation, the rationality of the cycle setting should be paid attention to. For example, when the target is highly dynamic, the detection cycle should be shortened to improve responsiveness. Otherwise, a longer cycle can be used for stable statistics. After completing the above steps, the priority frequency band index sequence is obtained.

[0122] See also Figure 6 , the transceiver control decision module includes:

[0123] 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 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;

[0124] Based on the priority band index sequence, the frequency band numbers corresponding to the high-priority frequency bands are extracted. By establishing a mapping relationship between frequency bands and transmission parameters, parameter control items for pulse transmission are set for each frequency band. During the specific implementation process, the pulse transmission scheduling mechanism needs to be combined to sequentially configure the corresponding transmission parameters for the priority frequency bands, such as pulse number, pulse width, and timing. For example, if the priority orders of frequency bands 1, 2, and 3 are 3, 1, and 2, respectively, their pulse numbers can be configured as 1, 2, and 3, respectively, and the corresponding pulse widths can be set to 1.2 μs, 1.0 μs, and 1.5 μs. The corresponding transmission start times are 5.0 μs, 4.5 μs, and 6.0 μs, respectively. The duration of each pulse can be set to a buffer length of 10 to 15 μs based on target detection requirements. Through this mapping, the transmission configurations of all high-priority frequency bands are integrated into a unified control plan, providing benchmark information for subsequent reception adjustments and obtaining frequency band transmission configuration values.

[0125] The receiving adjustment submodule sets the start and end points of the receiving buffer window for the high-preferred frequency band according to the frequency band transmission configuration value, sets the delayed receiving state or disables the receiving function for the non-preferred 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;

[0126] According to the frequency band transmission configuration value, a corresponding receiving buffer window is set for each high-priority frequency band. The starting point of the buffer window is taken from the transmission setting starting point, and the buffer length is configured according to the target distance, system sampling rate, and pulse characteristics. Further, key moments in the receiving process are collected and their distribution characteristics are calculated. For example, the transmission starting point of frequency band 1 is 5.0 microseconds, the buffer length is 12.0 microseconds, and the receiving times are recorded at 5.2, 6.1, and 7.5 microseconds. The starting point of frequency band 2 is 4.5 microseconds, the buffer length is 10.0 microseconds, and the receiving times are 4.6, 5.3, and 5.8 microseconds. The starting point of frequency band 3 is set at 6.0 microseconds and the buffer length is 15.0 microseconds, corresponding to the receiving times of 6.3, 6.9, and 7.7 microseconds. The mean of each group of receiving times is then calculated, and all receiving times are subtracted from their mean and normalized. The synchronization adjustment calculation process is then constructed by combining the pulse number, buffer length, and pulse width. Finally, the synchronization adjustment factor for each frequency band is obtained, as shown in Table 6:

[0127] Table 6 Synchronous Adjustment Factor Calculation Table

[0128]

[0129] As shown in Table 6, different frequency bands form different synchronization adjustment factors after considering the differences between the actual transmission configuration and the reception sampling points. This factor is used to guide the consistent scheduling of the transmit and receive channel configurations of each frequency band and obtain the channel configuration synchronization coefficient sequence.

[0130] The channel synchronization submodule constructs the transmission and reception timing relationship of each frequency band according to the channel configuration synchronization coefficient sequence, matches the channel mapping table structure, completes the synchronization mapping data integration for all frequency bands, and generates the radar height measurement transmission and reception synchronization configuration table;

[0131] Based on the channel configuration synchronization coefficient sequence, the synchronization relationship of the transmit and receive channels of each frequency band is constructed, and the pulse number, receive window time, and synchronization factor of each frequency band are mapped to the system control channel number. Further, a unified transmit and receive channel mapping table is established. During the execution process, an independent transmit and receive physical channel must be allocated to each high-priority frequency band according to the channel resource management structure. For example, the channel synchronization coefficient of frequency band 2 is 32.167, and its corresponding transmit and receive time span is from 4.5 to 14.5 microseconds. It is configured to channel group B, and the transmission control is mapped to channel group A. After all mappings are completed, they are organized into a control configuration list within the system task cycle. At the same time, the resource interval between channels is optimized according to the frequency distribution structure to form a control list with periodicity, partitioning, and dynamic control capabilities. This control table is ultimately used as the basic scheduling basis for radar task execution to generate a radar altitude measurement transmit and receive synchronization configuration table.

[0132] The above are merely preferred embodiments of the present invention and do not limit the present invention in any other form. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of protection 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 comprises: The pulse adaptation control module obtains the radar receiving period echo amplitude sequence and time tag, extracts the minimum amplitude jump point and records the time interval and amplitude difference before and after, makes a difference judgment based on the preset pulse width lower limit threshold and time interval, compresses the pulse width value, and generates pulse compression configuration data; The time resolution partitioning module arranges all the transition point time labels in ascending order and subtracts them sequentially based on the pulse compression configuration data, performs time interval statistical distribution analysis and resolution feasibility assessment, records the number of resolvable transition points, and generates a time resolution support amount; The echo structure identification module obtains echo waveform samples and determines the main lobe width based on the target frequency band channel signal corresponding to the time-resolved support amount, 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 frequency band structure amplitude statistics; The multi-frequency channel screening module calculates the ratio of the main lobe width to the side lobe sample value of each frequency band based on the frequency band structure amplitude statistics, compares the frequency band signal-to-noise ratio threshold to screen the high-priority frequency band, records the channel priority sorting order, and generates a priority frequency band index sequence; Based on the priority 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 in the transmission link for the high-priority frequency band, sets the delayed reception or closed state for the non-preferential frequency band and updates the frequency channel mapping table to generate the radar altitude measurement transceiver synchronization configuration table.

2. The radio frequency transceiver control system for radar altitude measurement according to claim 1, characterized in that: The pulse compression configuration data includes the compressed pulse width value, the corresponding time interval, the minimum amplitude jump point time label, the amplitude difference, and the pulse width reduction ratio parameter; the time resolution support includes the number of resolvable jump points, the sparse interval span, the time interval distribution density, and the compressed pulse width and resolution capability comparison results; the frequency band structure amplitude statistical results include 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 main lobe left and right boundary time labels; the priority frequency band index sequence includes the high priority frequency band number, the frequency band channel priority sorting order, the frequency band main-side lobe ratio, and the signal-to-noise ratio comparison mark.

3. The radio frequency transceiver control system for radar altitude measurement according to claim 1, characterized in that: The pulse adaptation control module includes: The amplitude sequence extraction submodule obtains the echo amplitude sequence and corresponding time tags within the radar receiving cycle, merges and sorts the amplitude sequence in chronological order, and constructs a dual sequence of echo amplitude and time based on the time tag to generate an echo amplitude-time matching sequence; The jump point screening submodule 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 of all changes, screens the minimum amplitude jump point, and records the time interval and amplitude difference before and after, to generate a minimum jump difference group; 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 compressed pulse width , and make another difference judgment with the current time interval, and execute the loop 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.

4. The radio frequency transceiver control system for radar altitude measurement according to claim 1, characterized in that: The time-resolved partitioning module comprises: The time difference construction submodule obtains the transition time sequence in the pulse compression configuration data, arranges the time labels of all transition points in ascending order, and performs subtraction calculations between adjacent time labels in sequence to construct a transition time difference sequence; The interval statistics submodule divides the time difference range into fixed time steps according to the jump time difference sequence, performs histogram distribution statistics, and statistically compares the number of samples in different time intervals. The time interval with the least number of samples is selected as the sparse interval, the start and end time tags of the sparse interval are obtained, and the time span is calculated to generate 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 , the number of readable transition points is calculated according to the resolution contrast value, and the number of transition points with intervals greater than the compressed pulse width in the sparse interval is counted to obtain the time-resolved support value, where, represents the time span of the sparse interval, Represents the trip point The amplitude change, Represents the trip point The average echo intensity before and after represents the compressed pulse width value, Represents the trip point Time tag, Represents the arithmetic mean of all the jump point time labels in the sparse interval, Indicates the number of trip points.

5. The radio frequency transceiver control system for radar altitude measurement according to claim 1, characterized in that: The echo structure recognition module includes: 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 tag 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, performs a difference judgment on the amplitude and the 3dB point of the peak, and determines the time tag where the signal amplitude first falls below 3dB as the left and right boundaries using the formula: ； Calculate and generate the main lobe pulse width ,in, and Respectively represent the time tags of the right and left boundaries of the main lobe, represents the echo amplitude of the kth sample point, represents the amplitude of the center point in the kth channel, is the time label of the main lobe center in the kth channel, Indicates 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, organizes and summarizes them in combination with the main lobe pulse width, and establishes the frequency band structure amplitude statistical results.

6. The radio frequency transceiver control system for radar altitude measurement according to claim 1, characterized in that: The multi-frequency channel screening module includes: 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, performs the ratio calculation of the main lobe width and the number of side lobe samples on each frequency band, and obtains 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 one by one, identifies the frequency band numbers whose ratios are greater than the signal-to-noise ratio preferred threshold, marks them as preferred frequency bands, and obtains a set of high-preferred frequency band numbers; The priority sequence generation submodule 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, assigns priority numbers, and obtains a priority frequency band index sequence.

7. The radio frequency transceiver control system for radar altitude measurement according to claim 1, characterized in that: The radar height measurement transmission and reception synchronization configuration table includes frequency band pulse width configuration parameters, receiving buffer window start and end points, non-preferred frequency band reception state control instructions, and frequency channel mapping update information.

8. The radio frequency transceiver control system for radar altitude measurement according to claim 1, 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 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 receiving adjustment submodule sets the start and end points of the receiving buffer window for the high-preferred frequency band according to the frequency band transmission configuration value, sets the delayed receiving state or disables the receiving function for the non-preferred 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 submodule constructs the transmission and reception timing relationship of each frequency band according to the channel configuration synchronization coefficient sequence, matches the channel mapping table structure, completes the synchronization mapping data integration for all frequency bands, and generates the radar height measurement transmission and reception synchronization configuration table.

Images