Intelligent broadband image transmission power adjusting system

Abstract

The invention discloses a broadband image transmission power intelligent adjusting system comprising a radio frequency receiving module used for collecting signal-to-noise ratio signals in real time and continuously integrating collected data to form a data unit; the signal processing module is used for carrying out filtering processing on the collected signals and identifying signal jitter characteristics; the threshold value generation module is used for setting an image transmission quality reference threshold value, determining a hysteretic interval width according to a jitter characteristic, and generating a power increasing threshold value and a power reducing threshold value; the adjustment decision module is used for comparing the filtered signal value with a dynamic threshold value and judging an adjustment decision; the decision execution module is used for controlling the radio frequency emission module to execute the adjustment decision; and the threshold value calibration module is used for calibrating the width of the hysteresis interval and updating the threshold value to adapt to the change of the jitter characteristic. According to the invention, precision, stabilization and self-adaption of broadband image transmission power adjustment are realized on the whole, the low-bit-error-rate transmission requirement is ensured, and the energy consumption and loss of equipment are reduced.

Description

Technical Field

[0001] This invention relates to the field of broadband image transmission technology, specifically a broadband image transmission power intelligent adjustment system. Background Technology

[0002] Broadband image transmission technology, with its advantages of large bandwidth and high transmission rate, has been widely used in core scenarios such as UAV mapping, emergency communication, vehicle networking, and industrial IoT. In these scenarios, broadband signal transmission is susceptible to complex factors such as multipath interference, frequency competition, and environmental obstruction, resulting in small and frequent jitter in core signal parameters such as signal-to-noise ratio (SNR).

[0003] Because the power needs to be intelligently adjusted based on the "adjustment threshold" of the closed loop during broadband image transmission, if the "adjustment threshold" of the feedback closed loop is not adapted to the jitter characteristics of broadband data, the power will frequently switch between "high" and "low" (ping-pong effect).

[0004] For example, if the SNR threshold is set to "≥20dB power reduction, ≤18dB power increase", the SNR fluctuates between 19-21dB in wideband scenarios due to multipath interference, resulting in power switching 3-5 times per second, increased heat generation of the RF module, and periodic jitter in the image transmission signal. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a broadband image transmission power intelligent adjustment system to solve the problems mentioned in the background art.

[0006] A broadband image transmission power intelligent adjustment system includes:

[0007] The radio frequency receiving module is used to acquire signal-to-noise ratio signals in real time and continuously integrate the acquired data to form data units;

[0008] The signal processing module is used to filter the acquired signals and identify signal jitter characteristics;

[0009] The threshold generation module is used to set the image transmission quality benchmark threshold, determine the hysteresis interval width based on jitter characteristics, and generate the power up threshold and power down threshold.

[0010] The adjustment decision module is used to compare the filtered signal value with the dynamic threshold, determine the adjustment decision, and limit the minimum interval between two adjustments.

[0011] The decision execution module is used to control the radio frequency transmission module to execute adjustment decisions and initiate power amplifier linearization compensation;

[0012] The threshold calibration module is used to periodically extract historical adjustment data, calibrate the hysteresis interval width, and update the threshold to adapt to changes in jitter characteristics.

[0013] Preferably, the real-time acquisition of signal-to-noise ratio (SNR) signals and the continuous integration of acquired data to form data units specifically involve: the radio frequency receiving module of the broadband image transmission device acquiring SNR signals in real time, adding a timestamp to each set of acquired data to retain temporal characteristics, and continuously integrating the acquired data to form data units, ensuring that the data unit can fully cover the temporal dimension characteristics of signal jitter in broadband scenarios.

[0014] Preferably, the step of filtering the acquired signal and identifying signal jitter characteristics specifically involves: the signal processing module receiving signal-to-noise ratio (SNR) data units containing time-series characteristics transmitted by the radio frequency receiving module; firstly, performing a moving average filter on the SNR data within the unit to eliminate instantaneous pulse interference and obtain the average SNR value; then, extracting the maximum and minimum SNR values ​​based on the filtered data; calculating the SNR jitter amplitude through the difference between the two to quantify and identify the signal jitter characteristics; and finally, synchronously outputting the average SNR value and jitter amplitude to the threshold generation module.

[0015] Preferably, the step of setting the image transmission quality reference threshold, determining the hysteresis interval width based on jitter characteristics, and generating the power increase threshold and power decrease threshold specifically involves: the threshold generation module receiving the filtered mean SNR and the quantized SNR jitter amplitude transmitted by the signal processing module, setting the image transmission quality reference threshold based on broadband image transmission quality requirements, determining the appropriate hysteresis interval width based on the SNR jitter characteristics, and calculating and generating the power increase threshold and power decrease threshold using the reference threshold and the hysteresis interval width to ensure that the threshold interval avoids the actual jitter range of the signal.

[0016] Preferably, the step of comparing the filtered signal value with the dynamic threshold to determine the adjustment decision and limiting the minimum interval between two adjustments is as follows: the adjustment decision module receives the filtered signal value and the dynamic thresholds for increasing and decreasing power, compares the signal value with the threshold to determine the basic adjustment decision of increasing power, decreasing power or maintaining the current power; at the same time, it records the time of the last power adjustment. If the interval between the current decision and the last adjustment does not meet the set requirement, it forcibly maintains the current power to avoid frequent switching in short cycles; finally, it outputs the determined adjustment decision to the decision execution module.

[0017] Preferably, the control radio frequency transmission module executes the adjustment decision and initiates power amplifier linearization compensation. Specifically, after receiving the adjustment decision, the decision execution module drives the radio frequency transmission module to perform the corresponding power operation; in the power adjustment scenario, power amplifier linearization compensation is initiated simultaneously, the signal distortion is monitored and the parameters are dynamically adjusted to ensure signal stability; after the adjustment is completed, the key data of this adjustment are extracted, organized and stored in the local cache to provide a data source for the subsequent periodic calibration of the threshold calibration module.

[0018] Preferably, the step of periodically extracting historical adjustment data, calibrating the hysteresis interval width, and updating the threshold to adapt to changes in jitter characteristics specifically involves: the threshold calibration module periodically starting calibration, extracting historical adjustment data, filtering valid records, and calculating the average jitter amplitude within the period; calibrating the hysteresis interval width based on this amplitude to balance the anti-ping-pong effect with adjustment sensitivity; generating a new dynamic threshold based on the calibrated width and the image transmission quality benchmark threshold, and updating it to the threshold generation module to adapt to changes in signal jitter characteristics and ensure long-term system stability.

[0019] Preferably, in the power adjustment scenario, the power amplifier linearization compensation is initiated simultaneously, and the signal distortion is monitored and parameters are dynamically adjusted to ensure signal stability, specifically as follows:

[0020] In power adjustment scenarios, after receiving the power increase / decrease command, the decision execution module synchronously starts the linearization compensation of the power amplifier; it monitors the distortion of the amplifier output signal in real time, calls its nonlinear characteristic database, and dynamically adjusts the compensation parameters through an adaptive algorithm; it iteratively optimizes until the distortion meets the standard; it retains the compensation data and associates it with the power adjustment data to support closed-loop collaboration to ensure the stability of the image transmission signal.

[0021] This invention discloses an electronic device, comprising:

[0022] At least one processor; and

[0023] A memory communicatively connected to the at least one processor; wherein,

[0024] The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the data processing procedure of the system of the present invention described above.

[0025] The beneficial effects of this invention are: This system effectively solves the problem of frequent power switching caused by signal jitter in broadband image transmission, significantly improving transmission stability and equipment reliability. By quantitatively identifying signal jitter characteristics and dynamically matching the hysteresis interval width, it accurately avoids the jitter range, eliminating the ping-pong effect at its source and preventing increased overheating of the RF module and periodic signal jitter.

[0026] The interval limitation mechanism of the adjustment decision module further blocks invalid switching within short cycles, ensuring smooth and orderly power regulation. During power adjustment, amplifier linearization compensation is simultaneously activated to cancel nonlinear distortion in real time, ensuring stable signal transmission quality. Based on the periodic calibration mechanism, the system can dynamically adapt to changes in jitter characteristics, maintaining optimized performance over the long term.

[0027] The system achieves precise, stable, and adaptive power adjustment for broadband image transmission, ensuring low bit error rate transmission while reducing equipment energy consumption and losses. It is suitable for complex scenarios such as UAV mapping and emergency communication, improving the overall performance and application reliability of broadband image transmission systems. Attached Figure Description

[0028] Figure 1 This is a block diagram of the overall composition of the present invention. Detailed Implementation

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0030] Please see Figure 1 This application provides a broadband image transmission power intelligent adjustment system, comprising:

[0031] The radio frequency receiving module is used to acquire signal-to-noise ratio signals in real time and continuously integrate the acquired data to form data units;

[0032] The signal processing module is used to filter the acquired signals and identify signal jitter characteristics;

[0033] The threshold generation module is used to set the image transmission quality benchmark threshold, determine the hysteresis interval width based on jitter characteristics, and generate the power up threshold and power down threshold.

[0034] The adjustment decision module is used to compare the filtered signal value with the dynamic threshold, determine the adjustment decision, and limit the minimum interval between two adjustments.

[0035] The decision execution module is used to control the radio frequency transmission module to execute adjustment decisions and initiate power amplifier linearization compensation;

[0036] The threshold calibration module is used to periodically extract historical adjustment data, calibrate the hysteresis interval width, and update the threshold to adapt to changes in jitter characteristics.

[0037] The real-time acquisition of signal-to-noise ratio (SNR) signals and the continuous integration of acquired data to form data units are specifically implemented as follows: the radio frequency receiving module of the broadband image transmission equipment acquires the core signal parameter—SNR (in dB)—in real time at a sampling frequency of 200Hz. A timestamp accurate to microseconds is added to each set of acquired SNR data to preserve the timing characteristics. Every 20 sets of SNR data with timestamps are continuously acquired and integrated to form a complete data unit, ensuring that the data unit can fully cover the time dimension characteristics of ±2dB signal jitter in broadband scenarios.

[0038] The process of filtering the acquired signal and identifying signal jitter characteristics involves the following steps: The signal processing module receives SNR data units containing timing characteristics transmitted by the RF receiving module. First, it performs a moving average filtering process on the SNR data within the data unit to eliminate instantaneous pulse interference. During the filtering process, a sliding window size of 10 is used to calculate the average value of 10 consecutive SNR values ​​within the window as the filtered SNR mean, ensuring that the filtering result accurately reflects the overall trend of signal change. Subsequently, based on the filtered SNR data, the maximum and minimum values ​​of the SNR values ​​within the data unit are extracted, and the SNR jitter amplitude is calculated by the difference between the two, completing the quantitative identification of the jitter characteristics of the broadband image transmission signal. Finally, the filtered SNR mean and the quantized jitter amplitude are synchronously output to the threshold generation module.

[0039] The method involves setting a benchmark threshold for image transmission quality, determining the hysteresis interval width based on jitter characteristics, and generating power-up and power-down thresholds. Specifically, in implementation, the threshold generation module first receives the filtered mean SNR and the quantized SNR jitter amplitude transmitted by the signal processing module, and then calculates the threshold based on the preset bit error rate for broadband image transmission. To meet the quality requirements, a baseline threshold SNR_base for image transmission quality is set and fixed at 19dB to cover the minimum effective signal-to-noise ratio under jitter scenarios. Then, the hysteresis interval width W is determined based on the SNR jitter amplitude A_SNR. When A_SNR ≤ 2dB, W = A_SNR + 1dB is set to ensure the interval width is greater than the actual jitter amplitude to avoid false triggering. If A_SNR > 2dB, W = 3dB is fixed to prevent the interval from being too wide and affecting the adjustment sensitivity. Finally, dynamic thresholds are generated by calculating the baseline threshold and the hysteresis interval width. The power-up threshold SNR_up = SNR_base - W / 2, and the power-down threshold SNR_down = SNR_base + W / 2. For example, when A_SNR = 2dB, W = 3dB, resulting in a dynamic threshold combination of SNR_up = 17.5dB and SNR_down = 20.5dB, ensuring that the threshold interval avoids the actual signal jitter range.

[0040] In practice, the aforementioned fixed benchmark threshold cannot adapt to the dynamic changes in bit error rate requirements under different scenarios; furthermore, the hysteresis interval width is calculated only through simple addition, without considering the statistical characteristics of signal jitter and the dynamic balance between sensitivity adjustment. Therefore, this application further proposes a dynamic benchmark threshold and an adaptive weighted hysteresis interval, combining statistical distribution and sensitivity factors to achieve intelligent optimization of the threshold parameters, as detailed below:

[0041] The threshold generation module first receives three sets of core input data transmitted by the signal processing module, including the average signal-to-noise ratio after filtering. Quantized signal-to-noise ratio jitter amplitude Error rate requirements for current image transmission services For example, a drone mapping scenario in practice. Emergency communication scenarios .

[0042] Based on the mapping relationship between bit error rate and signal-to-noise ratio, a dynamic baseline threshold model is introduced to overcome the limitations of a fixed threshold. The expression for the dynamic baseline threshold model is as follows:

[0043] ;

[0044] In the formula, The dynamic reference threshold for broadband image transmission power adjustment; The reference signal-to-noise ratio is used as the baseline. The target bit error rate for the current business; The reference bit error rate for broadband image transmission power adjustment; This is the conversion coefficient between bit error rate and signal-to-noise ratio.

[0045] when Higher than (If a higher bit error rate is permissible for emergency communications) Automatically reduces power consumption, minimizing unnecessary power usage; when Below (e.g., high-precision surveying) Automatic upgrades ensure reliable transmission.

[0046] By introducing jitter statistical weights and sensitivity factors, a nonlinear hysteresis interval model is constructed to balance the anti-ping-pong effect and the timeliness of adjustment. The formula for calculating the adaptive weighted hysteresis interval width is as follows:

[0047] ;

[0048] In the formula, The width of the adaptive hysteresis interval; Basic weighting coefficients; This is the weighting coefficient for the proportion of jitter. This is the sensitivity compensation weighting coefficient; This is a sensitivity adjustment factor; This represents the quantized signal-to-noise ratio jitter amplitude. The mean signal-to-noise ratio after filtering;

[0049] when When the ratio is large (in high-jitter scenarios), the second term Play a leading role and broaden the interval to prevent the ping-pong effect; when When the ratio is small (in low-jitter scenarios), the third exponential term Attenuation, through Ensure adjustment sensitivity, and set The range of values ​​is Avoid making the interval too narrow or too wide.

[0050] Combining the dynamic baseline threshold and the adaptive hysteresis interval, a direction correction factor is introduced to further optimize the threshold distribution. The final formula for generating the dynamic threshold is:

[0051] ;

[0052] ;

[0053] In the formula, This is the power-up threshold correction factor; The power reduction threshold; This is the power reduction threshold correction factor.

[0054] Through asymmetric correction, the power-up triggering becomes more sensitive and the power-down triggering more robust, adapting to the transmission characteristics of broadband signals that prioritize higher power over lower power.

[0055] For example, taking a drone mapping scenario as an example, input , , Fixed parameters: SNR0=19dB, BER0=10 -6 k BER =0.85; w1=1.2, w2=0.3, w3=0.5, k s =2.0; k up =1.1, k down =0.9;

[0056] calculate ;

[0057] calculate ;

[0058] generate (Take 17.2dB);

[0059] (Take 20.5dB);

[0060] Precisely avoid the threshold range (17.2-20.5dB). The range of vibration, and because and Its asymmetric design results in a higher power reduction trigger point, reducing frequent switching.

[0061] By introducing dynamic bit error rate adaptation, nonlinear weighted hysteresis model and direction correction mechanism, the benchmark threshold is dynamically adjusted according to business needs, adapting to multiple scenarios; the hysteresis interval width is deeply bound to the signal statistical characteristics, making the prevention of ping-pong effect more accurate; the asymmetric threshold design fits the broadband transmission law, improving signal stability.

[0062] The process of comparing the filtered signal value with the dynamic threshold to determine the adjustment decision and limiting the minimum interval between two adjustments is implemented as follows: The adjustment decision module synchronously receives the filtered average SNR output by the signal processing module, as well as the power increase threshold (SNR_up) and power decrease threshold (SNR_down) generated by the threshold generation module. First, the filtered average SNR is compared with these two dynamic thresholds in real time to determine the basic adjustment decision: If the average SNR ≥ SNR_down, it is determined to be a "power decrease" decision, and the single power decrease amplitude is fixed at -1dB to avoid power abrupt changes; if the average SNR ≤ SNR_up, it is determined to be a "power increase" decision, and the single power increase amplitude is fixed at +1dB; if the average SNR is within the hysteresis interval between SNR_up and SNR_down, it is determined to "maintain the current power" and no adjustment action is triggered. Meanwhile, the adjustment decision module has a built-in time recording unit that stores the precise time of the last power adjustment in real time. After generating the current basic adjustment decision, it automatically calculates the interval between the trigger time of the current decision and the time of the last adjustment. If the interval is less than 1 second, the decision will be forcibly corrected to "maintain the current power" regardless of the result of the basic decision. The interval limit further blocks frequent switching within a short period of time. Finally, the determined adjustment decision is output to the decision execution module.

[0063] The control RF transmission module executes adjustment decisions and initiates power amplifier linearization compensation. Specifically, after receiving the definite adjustment decision output by the adjustment decision module, the decision execution module immediately sends a precise control command to the RF transmission module, driving the RF transmission module to execute the corresponding operation based on the decision result of "increase power by 1dB", "decrease power by 1dB", or "maintain current power", ensuring that the power adjustment action is completed within 3ms to guarantee timely adjustment. Simultaneously, for power adjustment scenarios (increase or decrease power), the decision execution module synchronously activates the linearization compensation mechanism of the power amplifier (PA). By monitoring the output signal distortion of the power amplifier in real time, it dynamically adjusts the compensation parameters to offset the signal distortion caused by the amplifier's nonlinear characteristics during power surges, ensuring the stability and transmission quality of the image transmission signal.

[0064] After power adjustment and compensation are completed, the decision execution module automatically extracts the key data of this adjustment, including the adjustment execution time, the power value of the RF transmitter module before adjustment, the power value after adjustment, the average SNR and jitter amplitude that triggered this adjustment, and stores this data in the local cache after being organized in the standard format. This data is stored together with other adjustment records to provide complete and accurate data source support for the threshold calibration module to extract historical data for periodic calibration.

[0065] The process involves periodically extracting historical adjustment data, calibrating the hysteresis interval width, and updating the threshold to adapt to changes in jitter characteristics. Specifically, the threshold calibration module initiates the calibration process at a fixed 30-second interval, automatically retrieving the 200 most recently stored complete historical adjustment data entries from the local cache. These data entries contain SNR jitter amplitude information corresponding to each adjustment record. For the extracted 200 historical data entries, the threshold calibration module first filters out valid records (i.e., records that triggered power increase or decrease operations). Then, based on the SNR jitter amplitude values ​​in these valid records, it calculates the average jitter amplitude A_SNR,avg for the current period by summing and averaging the values. The number of samples M used in the statistics is fixed at 200 historical jitter amplitude data entries. Based on the calculated A_SNR,avg, the threshold calibration module performs targeted calibration on the hysteresis interval width W: If A_SNR,avg < 1dB, it indicates that the current signal jitter amplitude is small, and to improve the sensitivity of power adjustment, W is lowered to A_SNR,avg + 0.8dB; if A_SNR,avg is between 1dB and 2dB, W is kept at A_SNR,avg + 1dB to balance the anti-ping-pong effect and adjustment sensitivity; if A_SNR,avg > 2dB, it indicates that the signal jitter has intensified, and the anti-frequent switching effect needs to be strengthened, so W is raised to A_SNR,avg + 1.2dB, while ensuring that W does not exceed 5dB at most to avoid adjustment lag.

[0066] After W is calibrated, the threshold calibration module uses the image transmission quality reference threshold SNR_base=19dB as a basis and regenerates a new dynamic threshold combination using the calculation formulas for the power increase threshold SNR_up=SNR_base-W / 2 and the power decrease threshold SNR_down=SNR_base+W / 2. The calibrated W and the new threshold are then synchronously updated to the threshold generation module, replacing the original threshold parameters. This allows the threshold mechanism to adapt to the dynamic changes in the jitter characteristics of the broadband image transmission signal in real time, ensuring the long-term stability and adaptability of the entire power adjustment system.

[0067] For the power adjustment scenario (power increase or power decrease), the decision execution module synchronously activates the linearization compensation mechanism of the power amplifier (PA). By monitoring the output signal distortion of the power amplifier in real time, it dynamically adjusts the compensation parameters to offset the signal distortion caused by the nonlinear characteristics of the amplifier during power surges. Specifically, after receiving the power increase or power decrease command from the adjustment decision module, the decision execution module immediately triggers the power amplifier linearization compensation process: first, the built-in signal distortion monitoring unit samples the output signal of the power amplifier in real time, and uses orthogonal demodulation technology to extract the I / Q components of the signal, calculates the amplitude error and phase error to quantify the distortion (distortion quantification accuracy reaches 0.1dBc), and simultaneously obtains the current filtered SNR average value and the current power adjustment amplitude (±1dB) from the signal processing module.

[0068] Based on the above data, the compensation unit calls upon the pre-stored power amplifier nonlinear characteristic database and dynamically adjusts the digital predistortion (DPD) parameters using the LMS adaptive algorithm. In power-up scenarios, the focus is on optimizing the compensation coefficient in the high-power segment to suppress intermodulation distortion; in power-down scenarios, the focus is on correcting linearity deviations in the low-power segment. The parameter adjustment response time is ≤1ms. During the compensation process, the adjusted signal distortion is compared in real time with a preset threshold (distortion ≤-45dBc). If the threshold is not met, iterative optimization is repeated until the distortion meets the requirements. Simultaneously, the distortion data, DPD parameters, and adjustment count of this compensation are synchronously stored in a local cache and associated with the power adjustment data. This provides data support for the threshold calibration module to analyze the correlation between jitter characteristics and compensation effects, ensuring that the compensation mechanism, power adjustment, and threshold calibration form a closed-loop synergy, further guaranteeing the stability of the image transmission signal.

[0069] It is evident that the system of the present invention can be implemented by a computer program, and the computer program for implementing the system of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer program causes the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer program can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0070] Therefore, it can be understood that this invention discloses an electronic device, comprising:

[0071] At least one processor; and

[0072] A memory communicatively connected to the at least one processor; wherein,

[0073] The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the data processing procedure of the system of the present invention described above.

[0074] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A broadband image transmission power intelligent adjustment system, characterized in that, include: The radio frequency receiving module is used to acquire signal-to-noise ratio signals in real time and continuously integrate the acquired data to form data units; The signal processing module is used to filter the acquired signals and identify signal jitter characteristics; The threshold generation module is used to set the image transmission quality benchmark threshold, determine the hysteresis interval width based on jitter characteristics, and generate the power up threshold and power down threshold. The adjustment decision module is used to compare the filtered signal value with the dynamic threshold, determine the adjustment decision, and limit the minimum interval between two adjustments. The decision execution module is used to control the radio frequency transmission module to execute adjustment decisions and initiate power amplifier linearization compensation; The threshold calibration module is used to periodically extract historical adjustment data, calibrate the hysteresis interval width, and update the threshold to adapt to changes in jitter characteristics.

2. The broadband image transmission power intelligent adjustment system according to claim 1, characterized in that: The real-time acquisition of signal-to-noise ratio (SNR) signals and the continuous integration of acquired data to form data units are specifically as follows: the radio frequency receiving module of the broadband image transmission device acquires SNR signals in real time, adds a timestamp to each set of acquired data to retain temporal characteristics, and continuously integrates the acquired data to form data units, ensuring that the data unit can fully cover the temporal dimension characteristics of signal jitter in broadband scenarios.

3. The broadband image transmission power intelligent adjustment system according to claim 1, characterized in that: The process of filtering the acquired signal and identifying signal jitter characteristics involves the following steps: The signal processing module receives signal-to-noise ratio (SNR) data units containing time-series characteristics transmitted by the radio frequency receiving module. First, it performs a moving average filter on the SNR data within the unit to eliminate instantaneous pulse interference and obtain the average SNR value. Then, based on the filtered data, it extracts the maximum and minimum SNR values ​​and calculates the SNR jitter amplitude through the difference between the two to quantify and identify the signal jitter characteristics. Finally, it synchronously outputs the average SNR value and jitter amplitude to the threshold generation module.

4. The broadband image transmission power intelligent adjustment system according to claim 1, characterized in that: The process of setting a reference threshold for image transmission quality, determining the hysteresis interval width based on jitter characteristics, and generating a power-up threshold and a power-down threshold involves the following steps: The threshold generation module receives the filtered mean signal-to-noise ratio and the quantized signal-to-noise ratio jitter amplitude transmitted by the signal processing module, sets a reference threshold for image transmission quality based on broadband image transmission quality requirements, determines an appropriate hysteresis interval width based on the signal-to-noise ratio jitter characteristics, and calculates and generates a power-up threshold and a power-down threshold using the reference threshold and the hysteresis interval width to ensure that the threshold interval avoids the actual jitter range of the signal.

5. The broadband image transmission power intelligent adjustment system according to claim 1, characterized in that: The process involves comparing the filtered signal value with a dynamic threshold to determine an adjustment decision and limiting the minimum interval between two adjustments. Specifically, the adjustment decision module receives the filtered signal value and the dynamic thresholds for increasing and decreasing power, compares the signal value with the thresholds to determine the basic adjustment decision of increasing power, decreasing power, or maintaining the current power. At the same time, it records the time of the last power adjustment. If the interval between the current decision and the last adjustment does not meet the set requirements, it forcibly maintains the current power to avoid frequent switching in short cycles. Finally, it outputs the determined adjustment decision to the decision execution module.

6. The broadband image transmission power intelligent adjustment system according to claim 1, characterized in that: The control radio frequency transmission module executes adjustment decisions and initiates power amplifier linearization compensation. Specifically, after receiving the adjustment decision, the decision execution module drives the radio frequency transmission module to perform the corresponding power operation. In the power adjustment scenario, power amplifier linearization compensation is initiated simultaneously to monitor signal distortion and dynamically adjust parameters to ensure signal stability. After the adjustment is completed, the key data of this adjustment is extracted, organized and stored in the local cache to provide a data source for subsequent periodic calibration of the threshold calibration module.

7. The broadband image transmission power intelligent adjustment system according to claim 1, characterized in that: The process of periodically extracting historical adjustment data, calibrating the hysteresis interval width, and updating the threshold to adapt to changes in jitter characteristics involves the following steps: The threshold calibration module periodically initiates calibration, extracts historical adjustment data, filters valid records, and calculates the average jitter amplitude within the period; based on this amplitude, the hysteresis interval width is calibrated specifically to balance the anti-ping-pong effect with adjustment sensitivity; a new dynamic threshold is generated based on the calibrated width and the image transmission quality benchmark threshold, and updated to the threshold generation module to adapt to changes in signal jitter characteristics and ensure long-term system stability.

8. The broadband image transmission power intelligent adjustment system according to claim 6, characterized in that: In the power adjustment scenario, the power amplifier linearization compensation is initiated simultaneously, signal distortion is monitored, and parameters are dynamically adjusted to ensure signal stability. Specifically: In power adjustment scenarios, after receiving the power increase / decrease command, the decision execution module synchronously starts the linearization compensation of the power amplifier; it monitors the distortion of the amplifier output signal in real time, calls its nonlinear characteristic database, and dynamically adjusts the compensation parameters through an adaptive algorithm; it iteratively optimizes until the distortion meets the standard; it retains the compensation data and associates it with the power adjustment data to support closed-loop collaboration to ensure the stability of the image transmission signal.

9. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the data processing procedure of the broadband image transmission power intelligent adjustment system as described in claim 1.

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