Multi-band cooperative interference gallium nitride phased-array antenna control method and system

Abstract

The invention relates to the technical field of electronic information, in particular to a multi-band cooperative interference gallium nitride phased-array antenna control method and system. The method comprises the steps of extracting key parameters of electromagnetic signals, and generating a cooperative interference strategy combination; mapping the frequency band optimization weight to a dynamic working mode of the gallium nitride power amplifier unit, adjusting the radiation pattern characteristics of the reconfigurable dipole array according to the power distribution parameters, and constructing a composite beam forming framework; phase weighting and spatial multiplexing are carried out on the interference signals of all the frequency bands based on the composite beam forming architecture, and a multi-beam interference cluster is generated; thermodynamic state data of the gallium nitride power amplifier module in the multi-beam interference cluster generation process are collected in real time, and heat dissipation parameters of the liquid cooling system are regulated and controlled according to the thermodynamic state data. Intelligent collaboration and accurate pointing of multi-band interference signals are realized, the interference coverage range and the energy utilization rate are improved, and an efficient interference system integrating electromagnetic sensing, multi-beam collaboration and thermal management is formed.

Description

Technical Field

[0001] The present invention relates to the field of electronic information technology, and in particular to a control method and system for a gallium nitride phased array antenna for multi-band cooperative interference. Background Art

[0002] In the modern electronic warfare environment, with the rapid development of radar and communication systems towards multi-band and adaptive directions, traditional single-band interference means are difficult to cope with complex electromagnetic threats. Existing interference systems generally have problems such as limited frequency band coverage, slow beam reconfiguration speed, and low multi-target interference efficiency, especially performing poorly when dealing with agile signals such as frequency hopping and spread spectrum. Although gallium nitride (GaN) devices have the advantage of high power density, they face challenges of performance degradation caused by heat accumulation when working in multi-band cooperation. In terms of phased array antennas, existing technologies mostly adopt fixed frequency band designs or mechanical tuning methods, which are difficult to achieve millisecond-level multi-band beam dynamic reconfiguration and lack a cooperative optimization mechanism for power-thermal management. In terms of interference strategy generation, traditional methods usually process signals in each frequency band independently, ignoring the joint scheduling of time-frequency-space three-dimensional resources, resulting in low utilization rate of interference energy. In addition, existing thermal management systems mostly adopt passive heat dissipation or current sharing cooling designs, and cannot adapt to the non-uniform thermal load of GaN power amplifier modules under dynamic power distribution. Therefore, there is an urgent need to develop a phased array interference system that integrates wide-band sensing, multi-beam cooperation, and thermoelectric joint control to solve key technical problems such as dynamic resource allocation, three-dimensional beam isolation, and high-power thermal management in multi-band interference. Summary of the Invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a control method and system for a gallium nitride phased array antenna for multi-band cooperative interference.

[0004] The technical solution adopted by the present invention to achieve the above object is as follows: In the first aspect of the present invention, a control method for a gallium nitride phased array antenna for multi-band cooperative interference is disclosed, including the following steps: Real-time obtain electromagnetic signals in the target airspace, extract key parameters of the electromagnetic signals, and generate a cooperative interference strategy combination including beam pointing, power distribution parameters, and frequency band preference weights; Map the frequency band preference weights to the dynamic operating modes of the gallium nitride power amplifier units, and adjust the radiation field pattern characteristics of the reconfigurable dipole array according to the power distribution parameters to construct a composite beamforming architecture matching the target frequency band; Based on the composite beamforming architecture, perform phase weighting and spatial multiplexing on interference signals in each frequency band to generate a multi-beam interference cluster with time-frequency-space three-dimensional isolation characteristics; Collect the thermodynamic state data of the gallium nitride power amplifier module in real time during the generation process of the multi-beam interference cluster, and regulate the heat dissipation parameters of the liquid cooling system according to the thermodynamic state data.

[0005] Preferably, obtain the electromagnetic signals in the target airspace in real time, extract the key parameters of the electromagnetic signals, and generate a cooperative interference strategy combination including beam pointing, power distribution parameters, and frequency band preference weights, specifically: Perform feature extraction processing on the electromagnetic signals to obtain the signal intensity, spectrum occupancy, and dynamic change characteristics of pulse parameters; Perform weighted aggregation on the dynamic change characteristics of the signal intensity, spectrum occupancy, and pulse parameters to generate a fusion feature matrix including a frequency band conflict index, signal aggregation degree, and pulse overlap factor, where the pulse overlap factor characterizes the time-domain overlap probability of interference signals in different frequency bands; According to the frequency band conflict index and pulse overlap factor in the fusion feature matrix, use the greedy algorithm to dynamically screen the frequency band combination with the optimal interference efficiency, and determine the beam pointing deflection compensation amount and power distribution weight for each frequency band, where the beam pointing deflection compensation amount is jointly corrected by the signal aggregation degree and the dynamic change characteristics of pulse parameters; Combine the frequency band preference weight and the power distribution weight to generate a cooperative interference strategy combination including beam pointing deflection compensation amount, frequency band residence time, and power time slot modulation.

[0006] Preferably, combine the frequency band preference weight and the power distribution weight to generate a cooperative interference strategy combination including beam pointing deflection compensation amount, frequency band residence time, and power time slot modulation, specifically: Perform dynamic normalization on the frequency band preference weight and the power distribution weight to generate a joint optimization weight matrix, where the joint optimization weight of each frequency band is obtained by logarithmic compression of the product of the standard weight of the frequency band and the power distribution weight; if the compressed value is lower than the preset threshold, it is determined that the frequency band does not participate in the current interference strategy combination; Based on the joint optimization weight matrix, initialize the initial deflection compensation amount of the beam pointing for each frequency band, and correct it in combination with the real-time electromagnetic environment perturbation coefficient of the target airspace. If the perturbation coefficient exceeds the adaptive threshold, use the gradient descent method to iteratively optimize the deflection compensation amount until the beam alignment accuracy requirement is met; According to the joint optimization weight matrix and the beam pointing deflection compensation amount, use the weighted round-robin algorithm to allocate the frequency band residence time for each frequency band. If the joint optimization weight of a certain frequency band is higher than the preset competition threshold, give priority to extending its residence time and shortening the occupancy duration of the low-weight frequency bands; Dynamically divide power time slots according to the frequency band residence time and the beam pointing deflection compensation amount, and use a non-linear programming algorithm to optimize the power distribution ratio of each time slot. If the interference efficiency gain of a certain time slot is lower than the preset efficiency threshold, trigger the power reallocation mechanism to readjust the transmission power of this time slot to match the current electromagnetic environment requirements; Integrate the beam pointing deflection compensation amount, frequency band residence time, and power distribution ratio to generate a final cooperative interference strategy combination.

[0007] Preferably, map the frequency band preference weight to the dynamic working mode of the gallium nitride power amplifier unit, and adjust the radiation field pattern characteristics of the reconfigurable dipole array according to the power distribution parameters to construct a composite beamforming architecture matching the target frequency band. Specifically: Generate the drive bias voltage of the gallium nitride power amplifier unit at several preset working time nodes according to the cooperative interference strategy combination, and use the piecewise linear interpolation algorithm to generate the drive bias voltage curve of the gallium nitride power amplifier unit; and analyze the coincidence degree between the drive bias voltage curve and the reference bias voltage curve; If the coincidence degree is not greater than the preset coincidence degree threshold, dynamically correct the slope and intercept parameters of the drive bias voltage curve based on the frequency band preference weight in the cooperative interference strategy combination to generate a set of power amplifier dynamic working parameters matching the real-time electromagnetic environment; and define the thermal coupling compensation factor between each power amplifier unit according to the set of power amplifier dynamic working parameters; Combine the power distribution parameters and the set of power amplifier dynamic working parameters, and use a distributed microstrip tuning circuit to real-time correct the equivalent electrical length of the dipole arm, and introduce the thermal coupling compensation factor for cross-unit compensation; During the compensation process, until the standing wave ratio of the array exceeds the tolerance threshold, introduce a gradient feedback mechanism to adjust the matching topology of the tuning circuit to generate an impedance optimization matrix of the radiation unit; Perform a joint operation on the impedance optimization matrix and the set of power amplifier dynamic working parameters, where the phase regulation amount is differentially corrected according to the beam pointing deflection compensation amount and the inter-unit decoupling parameters, and the amplitude regulation amount is time-domain weighted according to the power time slot modulation parameters and the thermal coupling compensation factor, and finally output a composite beamforming architecture with thermal-electric-frequency joint compensation characteristics.

[0008] Preferably, perform phase weighting and spatial multiplexing on the interference signals of each frequency band based on the composite beamforming architecture to generate a multi-beam interference cluster with time-frequency-space three-dimensional isolation characteristics. Specifically: Based on the composite beamforming architecture, extract the carrier phase noise characteristics of the interference signals of each frequency band, and use an asymmetric phase compensation algorithm to generate phase weighting coefficients with frequency band differences; Perform a point multiplication operation in the complex domain on the phase weighting coefficient and the amplitude regulation amount in the composite beamforming architecture to generate a phase-optimized beam cluster with frequency-band adaptive phase compensation characteristics; Input the phase-optimized beam cluster into an asymmetric MIMO beam combiner, and output a multiplexing beam group with spatial isolation characteristics according to the electromagnetic environment scattering characteristics of the target airspace; For each sub-beam in the multiplexing beam group, combine the frequency-band residence time and power time-slot modulation parameters of its corresponding frequency band, and use time-frequency interleaved coding technology to allocate the beam transmission timing to obtain a multi-beam interference cluster with three-dimensional time-frequency-space isolation characteristics.

[0009] Preferably, input the phase-optimized beam cluster into an asymmetric MIMO beam combiner, and output a multiplexing beam group with spatial isolation characteristics according to the electromagnetic environment scattering characteristics of the target airspace. Specifically: Based on the phase-optimized beam cluster, extract the multipath scattering intensity distribution of the target airspace through a spatial spectrum estimation method, and generate an electromagnetic environment scattering matrix containing the azimuth angle of the scatterer and the Doppler spread characteristics; Perform a spatial convolution operation on the electromagnetic environment scattering matrix and the phase-optimized beam cluster to obtain the energy coupling degree between the beams. If the coupling degree is greater than the preset isolation threshold, trigger the beam pattern optimization flag and generate a set of beam pairs to be isolated; For the set of beam pairs to be isolated, use the subspace projection algorithm to orthogonalize the original beam weight vector, and synthesize the orthogonalized weight vector and the phase-optimized beam cluster through a point multiplication operation in the complex domain to form a preprocessing beam group with a spatial null; Input the preprocessing beam group into the MIMO beam combiner, use the principle of channel reciprocity to optimize the transmit beam in the polarization dimension, and when it is detected that the cross-polarization isolation degree does not meet the requirements, superimpose the polarization rotation compensation factor, and finally output a multiplexing beam group with two-dimensional spatial-polarization isolation characteristics.

[0010] Preferably, collect the thermodynamic state data of the gallium nitride power amplifier module in real time during the generation process of the multi-beam interference cluster, and regulate the heat dissipation parameters of the liquid cooling system according to the thermodynamic state data. Specifically: Collect the temperature data, substrate heat flux density, and coolant flow rate of each preset position node in the gallium nitride power amplifier module through a distributed temperature sensor array; Calculate the local temperature rise rate of each preset position node according to the temperature data; if the local temperature rise rate of a certain preset position node exceeds the safety threshold, mark it as a high-temperature risk node; Perform a spatial convolution operation on the substrate heat flux density and coolant flow rate of the high-temperature risk node to obtain the heat accumulation effect coefficient; According to the thermal accumulation effect coefficient, adjust the flow distribution priority of the coolant path through a microchannel valve controller, and at the same time optimize the heat conduction efficiency of the radiator fins to generate a liquid cooling system control instruction set for implementing directional enhanced heat dissipation for high-temperature risk nodes.

[0011] Preferably, according to the thermal accumulation effect coefficient, adjust the flow distribution priority of the coolant path through a microchannel valve controller, and at the same time optimize the heat conduction efficiency of the radiator fins to generate a liquid cooling system control instruction set, specifically as follows: Compare the thermal accumulation effect coefficients of each high-temperature risk node with a preset heat dissipation threshold. When the thermal accumulation effect coefficient of a certain node exceeds the preset heat dissipation threshold, mark its corresponding heat dissipation flow channel as a first-level priority control path; Based on the thermal accumulation effect coefficient, combine hydrodynamic analysis to obtain the heat flux vector field of high-temperature risk nodes. Through extracting the heat flux density gradient and coupling and normalizing and weighting the thermal accumulation effect coefficient, and then combining the microchannel topology structure for connectivity correction, generate a heat conduction priority matrix for controlling the coolant distribution; Input the heat conduction priority matrix into the microchannel valve controller, and use a hydrodynamic equivalent impedance model to analyze the flow distribution weights of each branch; if the impedance value of the first-level priority control path is higher than the critical value, trigger the laminar flow acceleration mode and generate an initial flow control parameter set through proportional-integral regulation; According to the initial flow control parameter set, monitor the change amount of the contact thermal resistance of the radiator fins in real time. When it is detected that the thermal resistance increment is greater than the allowable fluctuation range, activate the piezoelectric ceramic micro-displacement mechanism to adjust the fin contact pressure, and combine the thermal accumulation effect coefficient to determine the optimal thermal conductivity compensation value to form a fin-substrate interface thermal resistance optimization coefficient; Perform a coupling operation on the flow control parameter set and the thermal resistance optimization coefficient. First, superimpose a pulsed flow enhancement factor on the first-level priority control path, and then generate a three-dimensional control instruction set including valve opening time sequence, fin pressure level, and coolant flow rate according to the gradient distribution characteristics of the heat conduction priority matrix to achieve directional heat sink control of high-temperature risk nodes.

[0012] The second aspect of the present invention discloses a gallium nitride phased array antenna control system for multi-band cooperative interference, which is applied to the steps of any one of the gallium nitride phased array antenna control methods, including: A broadband dynamic spectrum sensing module, which uses a multi-band electromagnetic scanning unit, supports continuous frequency band coverage of 1.5 - 6 GHz, has a real-time spectrum scanning period ≤ 10 ms and the function of extracting interference signal parameters, and dynamically generates a cooperative interference strategy including beam pointing and power spectral density; Reconfigurable antenna array module, based on a distributed gallium nitride power amplifier unit driving a reconfigurable dipole array, realizes the switching between a single-unit gain ≥ 8 dBi, 360° coverage in the omnidirectional mode, and a beam width ≤ 15° in the directional mode, and integrates a MEMS tunable filter bank to control the standing wave ratio ≤ 1.5; Multi-beam collaborative interference generation module, used to generate multi-band interference clusters with a spatial isolation degree ≥ 30 dB, and based on FPGA phase synchronization control, realizes a beam pointing error ≤ 0.5° and a suppression distance ≥ 3 km; Thermal management module, directly bonds gallium nitride power amplifier chips through a three-dimensional stacked microchannel liquid cooling structure, realizes a heat dissipation power density ≥ 800 W / cm², and combines a thermosensitive sensor network to control the chip junction temperature fluctuation ≤ ±2 °C.

[0013] The present invention solves the technical defects existing in the background art, and the present invention has the following beneficial effects: Through the present invention, the intelligent collaboration and accurate pointing of multi-band interference signals are realized, the interference coverage range and energy utilization rate are improved; at the same time, through real-time regulation of the thermodynamic state, the equipment stability under high-power operation is ensured, and an efficient interference system integrating electromagnetic sensing, multi-beam collaboration, and thermal management is formed. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0015] Figure 1 It is the first method flow chart of the control method for this gallium nitride phased array antenna; Figure 2 It is the second method flow chart of the control method for this gallium nitride phased array antenna; Figure 3 It is the system block diagram of the control system for this gallium nitride phased array antenna. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] In order to be able to more clearly understand the above-mentioned objects, features, and advantages of the present invention, the following will further describe the present invention in detail in combination with the drawings and specific embodiments. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0017] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0018] As Figure 1 shown, the first aspect of the present invention discloses a control method for a gallium nitride phased array antenna for multi-band cooperative interference, including the following steps: S102. Obtain the electromagnetic signals in the target airspace in real time, extract the key parameters of the electromagnetic signals, and generate a cooperative interference strategy combination including beam pointing, power distribution parameters, and frequency band preference weights; S104. Map the frequency band preference weights to the dynamic operating modes of the gallium nitride power amplifier units, and adjust the radiation field pattern characteristics of the reconfigurable dipole array according to the power distribution parameters to construct a composite beamforming architecture matching the target frequency band; S106. Perform phase weighting and spatial multiplexing on the interference signals of each frequency band based on the composite beamforming architecture to generate a multi-beam interference cluster with time-frequency-space three-dimensional isolation characteristics; S108. Collect the thermodynamic state data of the gallium nitride power amplifier module in real time during the generation process of the multi-beam interference cluster, and adjust the heat dissipation parameters of the liquid cooling system according to the thermodynamic state data.

[0019] Preferably, obtain the electromagnetic signals in the target airspace in real time, extract the key parameters of the electromagnetic signals, and generate a cooperative interference strategy combination including beam pointing, power distribution parameters, and frequency band preference weights, as Figure 2 shown, specifically: S202. Perform feature extraction processing on the electromagnetic signals to obtain the signal intensity, spectrum occupancy, and dynamic change characteristics of the pulse parameters; S204. Perform weighted aggregation on the signal intensity, spectrum occupancy, and dynamic change characteristics of the pulse parameters to generate a fusion feature matrix including a frequency band conflict index, a signal aggregation degree, and a pulse overlap factor, where the pulse overlap factor characterizes the time-domain overlap probability of interference signals in different frequency bands; S206. According to the frequency band conflict index and the pulse overlap factor in the fusion feature matrix, use the greedy algorithm to dynamically screen the frequency band combination with the optimal interference efficiency, and determine the beam pointing deflection compensation amount and power distribution weight for each frequency band, where the beam pointing deflection compensation amount is jointly corrected by the signal aggregation degree and the dynamic change characteristics of the pulse parameters; S208. Combine the frequency band preference weight and the power distribution weight to generate a cooperative interference strategy combination including a beam pointing deflection compensation amount, a frequency band residence time, and a power time slot modulation.

[0020] It should be noted that in the dynamic screening process, based on the frequency band conflict index and pulse overlap factor in the fusion feature matrix, the greedy algorithm is used to sequentially select the candidate frequency band with the highest current interference efficiency: first, the frequency band with a conflict index higher than the threshold and a pulse overlap factor lower than the preset value is preferentially screened as the initial combination; subsequently, according to the signal aggregation degree, the azimuth concentration degree of the interference signals in the target airspace is determined, and combined with dynamic features such as pulse repetition interval and pulse width change rate, the weighted correction of the beam pointing deflection compensation amount for each frequency band is carried out, and the compensation amount is determined by the product of the signal aggregation degree ratio and the pulse feature change rate; finally, according to the comprehensive score of the conflict index and pulse overlap factor of each frequency band, the power weight is proportionally allocated to ensure that the high-conflict and low-overlap frequency bands obtain higher power priorities, forming a dynamically optimized frequency band interference strategy.

[0021] Preferably, combining the frequency band preference weight and the power allocation weight, a cooperative interference strategy combination including the beam pointing deflection compensation amount, the frequency band dwell time, and the power time slot modulation is generated, specifically as follows: The frequency band preference weight and the power allocation weight are dynamically normalized to generate a joint optimization weight matrix, where the joint optimization weight of each frequency band is obtained by logarithmic compression of the product of the standard weight of the frequency band and the power allocation weight; if the compressed value is lower than the preset threshold, it is determined that the frequency band does not participate in the current interference strategy combination; Based on the joint optimization weight matrix, the initial deflection compensation amount of the beam pointing for each frequency band is initialized and corrected in combination with the real-time electromagnetic environment perturbation coefficient of the target airspace. If the perturbation coefficient exceeds the adaptive threshold, the gradient descent method is used to iteratively optimize the deflection compensation amount until the beam alignment accuracy requirement is met; It should be noted that based on the joint optimization weight matrix, an initial beam deflection compensation amount is allocated to each frequency band (the higher the weight, the greater the compensation amount); at the same time, the electromagnetic environment perturbation coefficient of the target airspace (such as signal intensity fluctuation, multipath interference, etc.) is monitored in real time. When it is detected that the perturbation coefficient exceeds the preset threshold, the gradient descent optimization algorithm is started: by calculating the error gradient between the current beam pointing and the target direction, the deflection compensation amount of each frequency band is gradually adjusted (the adjustment amplitude decreases with the decrease of the error each time) until the beam pointing accuracy reaches the requirement (such as the error angle is less than 0.5 degrees). In this process, the adjustment priority of the high-frequency band weight channel is higher, and the iteration step size is dynamically updated according to the real-time perturbation situation to ensure rapid convergence to the optimal beam pointing.

[0022] According to the joint optimization weight matrix and the beam pointing deflection compensation amount, the weighted round-robin algorithm is used to allocate the frequency band dwell time of each frequency band. If the joint optimization weight of a certain frequency band is higher than the preset competition threshold, its dwell time is preferentially extended and the occupancy duration of the low-weight frequency band is shortened; It should be noted that when allocating the dwell time of frequency bands, the system sorts according to the weight values of each frequency band in the jointly optimized weight matrix, and uses a weighted round-robin scheduling mechanism to allocate the initial dwell duration proportionally. When it is detected that the weight of a certain frequency band exceeds the competition threshold (such as 0.7), the priority adjustment mechanism is automatically triggered: on the one hand, the dwell time of this frequency band is dynamically increased according to the proportion exceeding the threshold (for example, for every 0.1 exceeding the threshold in weight, the duration is increased by 15%), and on the other hand, the occupancy duration of the low-weight frequency bands (such as the frequency bands with weights lower than 0.3) is reduced proportionally. At the same time, fine-tuning is performed in combination with the calculated beam deflection compensation amount, and an appropriate time margin is added to the frequency bands with larger deflection compensation amounts to ensure that the beam is stably aligned with the target. The entire allocation process is executed in real-time and cyclically, always ensuring that the high-weight frequency bands obtain more than 70% of the effective interference duration.

[0023] Based on the dwell time of the frequency band and the beam pointing deflection compensation amount, the power time slots are dynamically divided, and a non-linear programming algorithm is used to optimize the power allocation ratio of each time slot. If the interference effectiveness gain of a certain time slot is lower than the preset effectiveness threshold, the power reallocation mechanism is triggered to readjust the transmission power of this time slot to match the current electromagnetic environment requirements; Integrate the beam pointing deflection compensation amount, the dwell time of the frequency band, and the power allocation ratio to generate the final collaborative interference strategy combination.

[0024] It should be noted that in the power allocation stage, the system divides the total transmission period into several dynamic time slots according to the dwell time and beam deflection compensation amount allocated to each frequency band. Using a non-linear programming algorithm, with the goal of maximizing the interference effectiveness, the optimal power allocation ratio is calculated for each time slot (the high-weight frequency bands obtain more power resources). When real-time monitoring shows that the interference effectiveness of a certain time slot is lower than the threshold, the power reallocation is immediately started: automatically reduce the power of this time slot by 10%-30%, and dynamically allocate this part of the power to the adjacent time slots with higher effectiveness. Finally, the system integrates the beam deflection parameters (such as 2.4GHz deflection +3.2°), the dwell time of the frequency band (such as 5.8GHz accounting for 65%), and the optimized power allocation ratio (such as 60W allocated to the 5.8GHz time slot) to generate a complete interference strategy combination including three-dimensional parameters of time, frequency, and space, and continuously optimize it through closed-loop feedback.

[0025] In a preferred embodiment of the present invention, in an electronic countermeasure scenario against an enemy's dual-hop frequency radar (such as operating in the 2.4 GHz and 5.8 GHz frequency bands), the system first captures the electromagnetic signals in the target airspace in real time through a broadband receiving channel. For example, the signal intensity of the 2.4 GHz frequency band is measured as -65 dBm, the spectrum occupancy is 82%, and the pulse repetition interval is 20 μs; the signal intensity of the 5.8 GHz frequency band is -58 dBm, the spectrum occupancy is 95%, and the pulse repetition interval is 15 μs. After weighting and aggregating the signal characteristics of the two frequency bands, a fusion feature matrix is generated, where the frequency band conflict index is 0.73 (the preset threshold is 0.6), and the pulse overlap factor is 0.45. The greedy algorithm is used to select the two frequency bands as the interference combination, and it is obtained that the beam pointing of 2.4 GHz needs to be deflected and compensated by +3.2°, and the power weight is 0.4; the deflection compensation of 5.8 GHz is -1.8°, and the power weight is 0.6. After dynamic normalization, a joint optimization weight matrix is generated (the preset threshold is 0.15). When the electromagnetic disturbance coefficient is detected to exceed the threshold (such as the measured value of 0.85 > 0.7), the deflection compensation of 5.8 GHz is iteratively corrected to -2.1° through the gradient descent method. Finally, a cooperative strategy is generated: the dwell time ratio of 2.4 GHz is 35%, the power time slot allocation is 40 W, the dwell time of 5.8 GHz is 65%, and the power time slot allocation is 60 W, so as to form an adaptive interference scheme for the dual-band frequency hopping signal.

[0026] In summary, the present invention can adapt to a complex electromagnetic environment, intelligently screen out efficient interference frequency bands, accurately allocate beam pointing and power resources, and achieve rapid optimization and configuration of multi-band cooperative interference by dynamically generating an optimal interference strategy through real-time extraction of signal characteristics and fusion of parameters such as frequency band conflict and signal aggregation, thereby improving the interference efficiency and resource utilization rate.

[0027] Preferably, the frequency band preference weight is mapped to the dynamic operating mode of the gallium nitride power amplifier unit, and the radiation field pattern characteristics of the reconfigurable dipole array are adjusted according to the power distribution parameters to construct a composite beamforming architecture matching the target frequency band. Specifically: Generate the drive bias voltage of the gallium nitride power amplifier unit at several preset working time nodes according to the cooperative interference strategy combination, and use the piecewise linear interpolation algorithm to generate the drive bias voltage curve of the gallium nitride power amplifier unit; and analyze the coincidence degree between the drive bias voltage curve and the reference bias voltage curve; It should be noted that the system sets the drive bias voltage at key time nodes for the gallium nitride power amplifier unit according to the residence time and power distribution parameters of each frequency band in the cooperative interference strategy. The specific steps are as follows: First, extract the power time slot information of each frequency band in the strategy (for example, the 2.4GHz frequency band is allocated 40W of power in the 5-20ms period), and then determine the initial bias voltage value at the corresponding time node according to the preset power-voltage mapping relationship table (for example, 28V at the 5ms node and 30V at the 15ms node). Then, combine the frequency band preference weights to perform weighted correction on the voltage value (appropriately increase the voltage margin for high-weight frequency bands), and finally generate a sequence of drive bias voltage nodes that are strictly synchronized with the working periods of each frequency band, providing reference parameters for generating a continuous drive voltage curve. During the whole process, the system monitors the state of the power amplifier unit in real time to ensure that the voltage parameters match the dynamic interference strategy.

[0028] If the coincidence degree is not greater than the preset coincidence degree threshold, based on the frequency band preference weights in the cooperative interference strategy combination, dynamically correct the slope and intercept parameters of the drive bias voltage curve to generate a set of dynamic working parameters for the power amplifier that matches the real-time electromagnetic environment; and define the thermal coupling compensation factor between each power amplifier unit according to the set of dynamic working parameters of the power amplifier. It should be noted that when it is detected that the coincidence degree between the generated drive bias voltage curve and the reference curve is lower than the preset threshold (such as 85%), the system automatically activates the dynamic correction mechanism: First, according to the preference weight ratio of each frequency band in the cooperative interference strategy (such as 5.8GHz accounting for 60%), adjust the amplitude of the adjustment according to the weight distribution, and perform proportional adjustment on the slope of the voltage curve; at the same time, combine the real-time electromagnetic environment parameters (such as signal strength fluctuations) to perform compensation correction on the curve intercept parameters. The corrected parameter set includes the optimal working voltage, adjustment slope, and compensation amount of each power amplifier unit. Based on this, the system calculates the thermal influence coefficient between adjacent power amplifier units, and combines the unit spacing and working temperature difference to generate a thermal coupling compensation factor for canceling thermal interference (such as an adjustment coefficient in the range of 0.5-1.2) to ensure the thermal stability during the cooperative operation of multiple power amplifiers.

[0029] Combine the power distribution parameters and the set of dynamic working parameters of the power amplifier, and use a distributed microstrip tuning circuit to correct the equivalent electrical length of the dipole arm in real time, and introduce the thermal coupling compensation factor for cross-unit compensation; During the compensation process, when the standing wave ratio of the array exceeds the tolerance threshold, a gradient feedback mechanism is introduced to adjust the matching topology of the tuning circuit to generate an impedance optimization matrix for the radiation unit; It should be noted that, based on the power distribution parameters and the power amplifier dynamic operating parameter set, the system first automatically adjusts the physical length of the dipole radiation arms through a distributed microstrip tuning circuit (for example, shortening the dipole arm corresponding to the 5.8 GHz band from 12 mm to 11.3 mm) to match the equivalent electrical length requirements of the current operating frequency band. At the same time, the calculated thermal coupling compensation factor (such as 0.8) is injected into the compensation network between adjacent units to offset the performance drift caused by the heating of the power amplifier. During this process, the standing wave ratio of the array is monitored in real time. When it is detected that the standing wave ratio exceeds the preset tolerance value (such as 1.5), the gradient feedback mechanism is immediately activated: based on the deviation degree between the current standing wave ratio and the target value, the matching structure of the tuning circuit is dynamically adjusted (such as increasing the shunt capacitance to 1.2 pF or changing the microstrip line length). After multiple iterations of optimization, an impedance optimization matrix that enables the entire array to reach the best matching state is finally output to ensure the maximization of radiation efficiency.

[0030] The impedance optimization matrix and the power amplifier dynamic operating parameter set are jointly calculated. Among them, the phase regulation amount is differentially corrected according to the beam pointing deflection compensation amount and the decoupling parameter between units, and the amplitude regulation amount is time-domain weighted according to the power time slot modulation parameter and the thermal coupling compensation factor. Finally, a composite beamforming architecture with thermal-electric-frequency joint compensation characteristics is output.

[0031] In a preferred embodiment of the present invention, in an electronic jamming scenario against an enemy dual-frequency hopping radar (2.4 GHz / 5.8 GHz), the system sets drive bias voltage nodes (2.4 GHz node: 28 V @ 5 ms, 30 V @ 15 ms; 5.8 GHz node: 32 V @ 5 ms, 34 V @ 15 ms) for the gallium nitride power amplifier units corresponding to the two frequency bands according to the generated cooperative jamming strategy (2.4 GHz dwells at 35%, power 40 W, 5.8 GHz dwells at 65%, power 60 W). After generating the drive curve through piecewise linear interpolation, it is detected that its coincidence degree with the reference curve (preset 30 V ± 5%) is 78% (lower than the threshold of 85%). Then, based on the frequency band preference weight (5.8 GHz weight 0.6), the slope (increased from 0.4 V / ms to 0.45 V / ms) and intercept (adjusted from 27.8 V to 28.2 V) are dynamically corrected to generate a set of dynamic operating parameters. According to the distance between adjacent power amplifier units (0.5λ) and the real-time temperature gradient (ΔT = 7 °C), a thermal coupling compensation factor of 0.8 is defined. Subsequently, the dipole arm length of 5.8 GHz is shortened from 12 mm to 11.3 mm (equivalent electrical length correction) through a microstrip tuning circuit, and the compensation factor is injected to offset the thermal coupling effect. When the standing wave ratio of the array rises to 1.8 (tolerance 1.5), the gradient feedback mechanism automatically adjusts the topology of the tuning circuit and increases the shunt capacitance to 1.2 pF to form an impedance optimization matrix. Finally, the combined operation outputs: 2.4 GHz phase adjustment +0.3° (original deflection +3.2°), amplitude weighting coefficient 0.92, 5.8 GHz phase -2.4° (original -2.1°), amplitude coefficient 1.08, forming a composite beamforming architecture, which is closed-loop linked with the aforementioned jamming strategy to achieve stable coverage of the dual-frequency band beam.

[0032] In summary, the present invention realizes the precise adaptation of multi-frequency band power distribution and radiation field pattern through dynamic optimization of the power amplifier bias curve and thermal coupling compensation, combined with real-time adjustment of impedance matching, suppresses the influence of thermal effects on the beam pointing, improves the stability of the array standing wave ratio and the accuracy of beamforming, and ensures the spatial coverage quality and energy concentration of the composite jamming beam in a complex electromagnetic environment.

[0033] Preferably, based on the composite beamforming architecture, phase weighting and spatial multiplexing are performed on the interference signals of each frequency band to generate a multi-beam interference cluster with time-frequency-space three-dimensional isolation characteristics, specifically: Based on the composite beamforming architecture, the carrier phase noise characteristics of the interference signals of each frequency band are extracted, and an asymmetric phase compensation algorithm is used to generate phase weighting coefficients with frequency band differences; It should be noted that the phase jitter characteristics of signals in each frequency band (such as 2.3 GHz and 5.6 GHz) are measured in real time through a high-precision phase detection circuit to obtain their phase noise distribution characteristics; then, an asymmetric phase compensation algorithm is adopted. According to the differences in phase noise of each frequency band (such as better phase stability in the low-frequency band and larger jitter in the high-frequency band), the corresponding compensation parameters are calculated respectively: a larger compensation weight is given to the frequency band with larger phase jitter (5.6 GHz), while a smaller compensation is adopted for the relatively stable frequency band (2.3 GHz); finally, a phase weighting coefficient matching the characteristics of each frequency band is generated, where the coefficient in the high-frequency band includes a larger phase compensation angle and amplitude adjustment factor to ensure that the signals in each frequency band can achieve the optimal phase consistency after weighting.

[0034] Perform a complex-domain dot product operation on the phase weighting coefficient and the amplitude regulation amount in the composite beamforming architecture to generate a phase-optimized beam cluster with frequency-band adaptive phase compensation characteristics; Input the phase-optimized beam cluster into an asymmetric MIMO beam synthesizer, and output a multiplexing beam group with spatial isolation characteristics according to the scattering characteristics of the electromagnetic environment in the target airspace; For each sub-beam in the multiplexing beam group, combined with the frequency-band residence time and power time-slot modulation parameters of its corresponding frequency band, use time-frequency interleaved coding technology to allocate the beam transmission timing to obtain a multi-beam interference cluster with three-dimensional isolation characteristics of time-frequency-space.

[0035] Among them, the time-frequency interleaved coding technology refers to a scheduling method that realizes the isolated arrangement of multi-beam signals in the two-dimensional space of time-frequency by interleaving the allocation of the transmission timing and frequency resources of signals in different frequency bands, setting a guard interval in the time domain, and maintaining an interval bandwidth in the frequency domain, so as to avoid mutual interference.

[0036] It should be noted that the system performs intelligent timing arrangement for each sub-beam in the multiplexing beam group: first, divide the basic transmission time slots according to the preset residence time of each frequency band (such as 20 ms in the S band and 30 ms in the C band), and then determine the energy density of each time slot in combination with the power time-slot modulation parameters (such as 40 W in the S band and 60 W in the C band). Using time-frequency interleaved coding technology, the transmission timing of sub-beams in different frequency bands is arranged in an interleaved manner - the high-frequency high-power time slots and the low-frequency time slots are alternately transmitted, and a 10-ms guard interval is maintained in time. At the same time, spatial isolation is ensured through the difference in spatial pointing (such as a 22° difference in beam azimuth angle), and finally a three-dimensional isolation interference beam cluster with time-domain interleaving, frequency-band separation, and independent spatial pointing is formed. The system monitors the isolation degree of each dimension in real time and dynamically adjusts the transmission timing and power ratio to ensure the maximization of interference efficiency.

[0037] Preferably, the phase-optimized beam cluster is input into an asymmetric MIMO beam combiner, and a multiplexed beam group with spatial isolation characteristics is output according to the scattering characteristics of the electromagnetic environment in the target airspace, specifically as follows: Based on the phase-optimized beam cluster, the multipath scattering intensity distribution in the target airspace is extracted by a spatial spectrum estimation method to generate an electromagnetic environment scattering matrix containing the azimuth angle of the scatterer and the Doppler spread characteristics; It should be noted that the system first performs a spatial scan on the phase-optimized beam cluster, and receives the multipath reflection signals in the target airspace through the array antenna. The spatial spectrum estimation technology (such as MUSIC algorithm) is used to analyze the spatial arrival angle distribution of the received signals, and the azimuth angle information of each scatterer is extracted (such as there is a strong scatterer in the 35° direction); at the same time, the dynamic characteristics of the scatterer are obtained through Doppler frequency shift analysis (such as the ±500Hz frequency offset generated by a moving target). Parameters such as azimuth angle, Doppler frequency offset, and signal strength are integrated into a two-dimensional matrix, where the row vector represents different azimuth angles (at 5° intervals), and the column vector contains the Doppler spread and scattering intensity at the corresponding angles (such as the scattering intensity corresponding to the 35° azimuth angle is -65dBm and the Doppler broadening is 300Hz), and finally a scattering matrix that comprehensively characterizes the electromagnetic environment characteristics is generated.

[0038] Perform a spatial convolution operation on the electromagnetic environment scattering matrix and the phase-optimized beam cluster to obtain the energy coupling degree between the beams. If the coupling degree is greater than the preset isolation threshold, trigger the beam pattern optimization flag to generate a set of beam pairs to be isolated; It should be noted that when it is detected that the coupling degree of a certain pair of beams exceeds the preset isolation threshold (such as 0.6), the beam pair is automatically marked as an object to be optimized, and an isolation set containing all high-coupling beam pairs is generated. The system records the coupling azimuth angle and coupling intensity of each marked beam pair as input parameters for subsequent beam pattern optimization. The whole process is executed in real-time loop to ensure continuous monitoring of the coupling state in the dynamic electromagnetic environment.

[0039] For the set of beam pairs to be isolated, the subspace projection algorithm is used to orthogonalize the original beam weight vectors, and the orthogonalized weight vectors are combined with the phase-optimized beam cluster through complex domain dot product operations to form a preprocessed beam group with spatial nulls; It should be noted that for the highly coupled beam pairs that need to be isolated (such as beam A and beam B), the system first constructs an orthogonal subspace based on the beam coupling azimuth (such as the 35° direction) through the subspace projection algorithm. The original beam weight vectors are projected onto this subspace to generate a new set of orthogonal weight vectors (such as the beam A weight vector rotated by 15° and the beam B rotated by -10°). Then, these orthogonal weight vectors are multiplied pointwise in the complex domain with the original phase-optimized beam cluster (the real parts are multiplied to adjust the amplitude, and the imaginary parts are multiplied to adjust the phase), forming a radiation null with a depth exceeding 25 dB in the coupling azimuth (35°), while keeping the beam characteristics in other directions unchanged. In the finally output preprocessed beam group, the originally interfering beam pairs form significant energy isolation in the specified direction, while other beams maintain their original radiation characteristics, achieving spatial domain selective suppression.

[0040] The preprocessed beam group is input into the MIMO beam combiner, and the polarization dimension of the transmit beam is optimized using the principle of channel reciprocity. When it is detected that the cross-polarization isolation does not meet the requirements, a polarization rotation compensation factor is superimposed, and finally a multiplexed beam group with spatial-polarization two-dimensional isolation characteristics is output.

[0041] It should be noted that after the system inputs the preprocessed beam group into the MIMO beam combiner, it first analyzes the polarization characteristics fed back by the receiving end based on the principle of channel reciprocity and independently optimizes the polarization state of each sub-beam. When it is detected that the cross-polarization component of a certain beam (such as the vertical component in a horizontally polarized beam) exceeds the threshold (such as -15 dB), a polarization rotation compensation factor (such as a 12° polarization rotation angle) is automatically calculated and superimposed, and the cross-polarization component is suppressed by adjusting the excitation phase difference of the antenna elements. At the same time, the optimized spatial null characteristics are kept unchanged, and finally a two-dimensional isolation beam group with both spatial pointing isolation (such as a null in the 35° direction) and polarization orthogonality (main / cross-polarization isolation > 20 dB) is output, enabling effective isolation of different frequency band beams in both the spatial and polarization dimensions.

[0042] In a preferred embodiment of the present invention, in an electronic warfare scenario against a certain type of dual-band radar (such as operating at 2.3 GHz in the S band and 5.6 GHz in the C band), the system first extracts the phase noise characteristics of the two-band signals from the composite beamforming architecture (such as the phase jitter in the S band is ±8°, and in the C band is ±12°), and uses an asymmetric compensation algorithm to generate differential phase weighting coefficients (0.92e^(j15°) in the S band and 0.88e^(j22°) in the C band). After multiplying the coefficients by the amplitude adjustment amounts (0.95 in the S band and 1.05 in the C band) in the complex domain, a phase-optimized beam cluster is formed. When processed by the MIMO beam synthesizer, it is determined through the spatial spectrum that there is strong multipath scattering at azimuth 35° for the 5.6 GHz beam (such as the scattering matrix shows that the energy coupling degree reaches 0.75, exceeding the isolation threshold of 0.6). Therefore, the beam weight vectors of the two bands are orthogonally processed to form a null with a depth of ≥25 dB in the 35° direction. During the polarization optimization stage, it is detected that the cross-polarization isolation degree in the C band is only 12 dB (the requirement is ≥15 dB), and it is increased to 17 dB by superimposing an 18° polarization rotation compensation factor. In the finally generated multiplexed beam group, the S-band beam uses a time slot encoding of 20 ms dwell / 40 W power, and the C band uses a configuration of 30 ms / 60 W. The two beams are alternately transmitted in the time domain, with a frequency band interval of 3.3 GHz and a spatial pointing difference of 22°, achieving three-dimensional isolation interference.

[0043] In summary, to solve the technical problems of mutual interference between beams of multi-band interference signals and low energy utilization rate in a complex electromagnetic environment, the present invention realizes the adaptive isolation of multi-band interference signals in the time domain, frequency domain, and spatial domain through phase compensation and spatial-polarization two-dimensional isolation processing, reduces the energy coupling between beams, improves the spatial pointing accuracy and energy concentration of interference signals, and at the same time further enhances the interference effectiveness through polarization optimization, forming an efficient interference beam cluster with three-dimensional isolation characteristics.

[0044] Preferably, thermodynamic state data of the gallium nitride power amplifier module during the generation process of the multi-beam interference cluster is collected in real time, and the heat dissipation parameters of the liquid cooling system are adjusted according to the thermodynamic state data. Specifically: Collect the temperature data, substrate heat flux density, and coolant flow rate of each preset position node in the gallium nitride power amplifier module through a distributed temperature sensor array; Calculate the local temperature rise rate of each preset position node according to the temperature data; if the local temperature rise rate of a certain preset position node exceeds the safety threshold, it is marked as a high-temperature risk node; Perform a spatial convolution operation on the substrate heat flux density and coolant flow rate of the high-temperature risk node to obtain a heat accumulation effect coefficient; According to the thermal accumulation effect coefficient, adjust the flow distribution priority of the coolant path through the microchannel valve controller, and at the same time optimize the heat conduction efficiency of the radiator fins, so as to generate a control instruction set for the liquid cooling system to implement directional enhanced heat dissipation for high-temperature risk nodes.

[0045] Preferably, according to the thermal accumulation effect coefficient, adjust the flow distribution priority of the coolant path through the microchannel valve controller, and at the same time optimize the heat conduction efficiency of the radiator fins, so as to generate a control instruction set for the liquid cooling system, specifically as follows: Compare the thermal accumulation effect coefficients of each high-temperature risk node with a preset heat dissipation threshold. When the thermal accumulation effect coefficient of a certain node exceeds the preset heat dissipation threshold, mark its corresponding heat dissipation flow path as a first-level priority control path; Based on the thermal accumulation effect coefficient, combine hydrodynamic analysis to obtain the heat flux vector field of high-temperature risk nodes. By extracting the heat flux density gradient and coupling the thermal accumulation effect coefficient for normalization weighting, and then combining the microchannel topology structure for connectivity correction, generate a heat conduction priority matrix for controlling coolant distribution; It should be noted that first, based on the thermal accumulation effect coefficient of the high-temperature risk node (such as 1.8), obtain the heat flux vector distribution in this area through hydrodynamic simulation analysis, and identify the heat flux aggregation direction and intensity (such as detecting vortex-like heat flux, maximum heat flux density 8W / cm²). Then extract the heat flux density gradient data (such as X-direction gradient 0.5W / cm³), and perform normalization weighting calculation with the thermal accumulation effect coefficient (heat flux gradient accounts for 60% weight, thermal accumulation coefficient accounts for 40%) to obtain a preliminary heat conduction priority score. Then, combine the topological structure parameters of the microchannel network (such as branch connectivity, number of bends, etc.) for correction: reduce the priority score of complex branches with multiple bends by 20%, and increase the score of straight-through branches by 15%. Finally, generate a heat conduction priority matrix including the priority scores of each branch (such as branch B score 0.85) and the recommended flow adjustment ratio, providing a quantitative basis for the precise control of the subsequent liquid cooling system. The whole process is updated once at a preset time interval (such as 5 seconds) to adapt to the change of heat distribution in real time.

[0046] Input the heat conduction priority matrix into the microchannel valve controller, and use the hydrodynamic equivalent impedance model to analyze the flow distribution weights of each branch; if the impedance value of the first-level priority control path is higher than the critical value, trigger the laminar flow acceleration mode, and generate an initial flow control parameter set through proportional-integral regulation; It should be noted that after the system inputs the heat conduction priority matrix into the microfluidic valve controller, it first calculates the flow resistance characteristics of each cooling branch through the hydrodynamic equivalent impedance model (such as the impedance of the first-priority branch B being 0.8 Pa·s / m³). When it is recognized that the impedance of this branch exceeds the critical value (0.6 Pa·s / m³), the laminar flow acceleration mode is automatically activated: based on the current impedance overrun ratio (33%), the proportional-integral control algorithm is used to dynamically calculate the flow rate adjustment parameters - first, the basic flow rate is initially increased according to the overrun ratio (such as from 0.5 m / s to 0.8 m / s), and then the integral term accumulates the historical error for fine-tuning (an additional compensation of 0.1 m / s), and finally an initial flow rate control parameter set including the target flow rate (0.9 m / s), adjustment duration (3 seconds), and acceleration (0.3 m / s²) is generated. This parameter set is sent to the intelligent valve actuator of the corresponding branch in real time to establish a benchmark for subsequent refined flow rate regulation.

[0047] According to the initial flow rate control parameter set, the change amount of the contact thermal resistance of the radiator fins is monitored in real time. When it is detected that the thermal resistance increment is greater than the allowable fluctuation range, the piezoelectric ceramic micro-displacement mechanism is activated to adjust the fin contact pressure, and the optimal thermal conductivity compensation value is determined in combination with the heat accumulation effect coefficient to form the fin-substrate interface thermal resistance optimization coefficient. The flow rate control parameter set and the thermal resistance optimization coefficient are coupled and calculated. First, a pulsed flow rate enhancement factor is superimposed on the first-priority regulation path, and then a three-dimensional regulation instruction set including the valve opening time sequence, fin pressure level, and coolant flow rate is generated according to the gradient distribution characteristics of the heat conduction priority matrix to achieve the directional heat sink control of high-temperature risk nodes.

[0048] It should be noted that the system couples and calculates the flow rate control parameter set (such as the target flow rate of 0.9 m / s) and the thermal resistance optimization coefficient (such as the compensation value of 0.85 corresponding to a 15% reduction in the interface thermal resistance). The specific steps are as follows: a pulsed flow rate enhancement is superimposed on the first-priority branch (such as branch B) (periodically fluctuating ±0.2 m / s within the initial 2 seconds to disrupt the thermal boundary layer); at the same time, the gradient distribution of the heat conduction priority matrix is analyzed, and an increasing valve opening curve (linearly opening from 0 to 80%) is generated for the high-gradient region (such as the branch with a score > 0.8), and the corresponding fin pressure level is matched (such as level III with a pressure of 8 N); finally, a three-dimensional regulation instruction is integrated - branch B accelerates to 1.1 m / s at an acceleration of 0.3 m / s² within 0 - 3 seconds, synchronously triggering a stepped increase in fin pressure (5 N → 8 N), and the valve executes an 80% opening hold mode. Through the synergistic action of time-domain pulses, spatial-domain pressure, and flow field rate, the high-temperature node (such as the 98°C region) achieves directional heat sink control within 10 seconds.

[0049] In a preferred embodiment of the present invention, in the electronic jamming task against dual-band radar (2.4GHz / 5.8GHz), when the system performs high-power multi-beam jamming (2.4GHz beam 40W for 20ms, 5.8GHz beam 60W for 30ms), the distributed temperature sensor detects a local hot spot in the 5.8GHz power amplifier unit area: the temperature of node A reaches 98°C (safety threshold 95°C), the temperature rise rate is 15°C / s (threshold 10°C / s), the substrate heat flux density is 8W / cm², and the coolant flow rate is 0.5m / s. The heat accumulation effect coefficient of the node is 1.8 (preset threshold 1.2) obtained by spatial convolution operation, and the system immediately marks it as a first-level priority control path. Fluid dynamics analysis shows that the heat flow vector field in this area is vortex-distributed, and the heat conduction priority matrix calculation shows that the impedance of branch B exceeds the standard (0.8Pa·s / m³>critical value 0.6), triggering the laminar acceleration mode to increase the flow rate to 1.2m / s. At the same time, the piezoelectric ceramic micro-displacement mechanism increases the contact pressure of the heat sink fins from 5N to 8N, reducing the interface thermal resistance by 15%. Finally, a three-dimensional control instruction is generated: branch B valve opening 80% (pulse opening), fin pressure level III, coolant flow rate 1.2m / s, and the temperature of node A drops to 88°C within 10 seconds, ensuring the stable operation of the 5.8GHz power amplifier module under continuous high-power interference.

[0050] In summary, in order to solve the technical problems of local overheating and low heat dissipation efficiency caused by uneven heat distribution in GaN power amplifier modules in multi-beam interference scenarios, the present invention can identify high-temperature risk areas in real time and quantify the heat accumulation effect through a dynamic control mechanism driven by thermodynamic state data, and achieve precise positioning and directional heat dissipation of hot spots through coordinated control of fluid path optimization and contact thermal resistance compensation, improve the heat dissipation response speed and temperature uniformity under high-power conditions, and ensure the thermal stability and reliability of GaN power amplifier modules in complex interference tasks.

[0051] In this embodiment, the gallium nitride phased array antenna control method may further include the following steps: The random number generator is triggered by the quantum vacuum fluctuation effect to generate a quantum random number sequence with true random characteristics, and the sequence is divided into multiple quantum random number segments according to preset grouping rules; Hash mapping is performed between the carrier frequency of the interference signal in each frequency band and the quantum random number segment to generate the initial phase jump sequence corresponding to each frequency band; By using the quantum correlation characteristics of the entangled photon pair, the entangled phase synchronization factor is obtained through Bell state measurement, and the factor is convolved with the initial phase jump sequence to generate a multi-band joint phase jump matrix with quantum correlation characteristics. Input the multi-band joint phase jump matrix into the quantization interference modulator. Through the quantum tunneling effect, encode the phase jump information into the carrier signals of each band to form a quantized interference waveform with non-local correlation characteristics. Based on the quantum no-cloning principle, implant quantum fingerprint features into the waveform, making the interference signals of each band show unpredictable phase mutations in the time domain and maintain quantum correlation in the frequency domain. Finally, output a quantized interference codebook with anti-inverse analysis characteristics.

[0052] Among them, the quantum random number segment serves as the basic random source throughout the entire processing flow. The entangled phase synchronization factor ensures the spatio-temporal correlation of multi-band jumps, and the quantum fingerprint feature provides the ultimate anti-cracking guarantee. The three form a progressive quantum protection system.

[0053] In this embodiment, to solve the technical problems of strong predictability, poor multi-band coordination, and easy inverse analysis of traditional electronic interference signals. This embodiment uses quantum true randomness to ensure the unpredictability of interference signals, realizes non-local correlation of multi-band phase jumps through quantum entanglement, combines quantum fingerprint features to form non-replicable interference features, and finally generates an interference codebook with inherent quantum randomness, cross-band correlation, and anti-cracking characteristics to improve the concealment and anti-interference ability in electronic countermeasures.

[0054] In this embodiment, the gallium nitride phased array antenna control method may further include the following steps: Convert the frequency band preference weights of each band into binary coding sequences, and add aptamer fragments to both ends of the sequence according to preset rules to form artificial DNA single strands, where the weight values of different frequency bands correspond to specific base arrangement combination patterns. Based on DNA origami technology, construct a molecular reaction network with parallel computing functions, and inject the encoded DNA single strands into the reaction system as input signals. During the strand displacement reaction, design complementary DNA probe sequences to specifically bind to the input strand. The probe concentration gradient reflects the interference efficacy indicators of each band. When the input strand undergoes a displacement reaction with the probe, a displacement product strand with a fluorescent label is generated. Use a fluorescence intensity detection device to monitor the displacement reaction rates of different weight combinations in real time, and establish a mapping relationship between the reaction kinetic parameters and the advantages and disadvantages of interference strategies. The DNA strand combination corresponding to the peak displacement rate represents the Pareto front solution. Decode the base sequences of the dominant DNA strands through high-throughput sequencing technology, reverse-analyze the optimal allocation ratio of the frequency band weights, output a solution set of interference strategies that meet multi-objective optimization, and complete the reverse conversion from biomolecular computing to electromagnetic interference strategies.

[0055] It should be noted that to solve the technical problems of low computational efficiency of traditional algorithms and difficulty in quickly obtaining Pareto optimal solutions in the optimization of multi-band interference strategies, this embodiment utilizes the high parallelism and specificity of DNA strand displacement reactions to achieve rapid optimization of multi-objective interference strategies, improve the solution efficiency of frequency band weight allocation schemes in complex electromagnetic environments, and ensure the global optimality of the output solution set through the inherent characteristics of biomolecular computing, providing an efficient optimization means for dynamic interference decision-making.

[0056] As Figure 3 shown, the second aspect of the present invention discloses a gallium nitride phased array antenna control system for multi-band cooperative interference, which is applied to the steps of any of the above-mentioned gallium nitride phased array antenna control methods, and includes: A broadband dynamic spectrum sensing module 1, which uses a multi-band electromagnetic scanning unit, supports continuous frequency band coverage of 1.5 - 6 GHz, has a real-time spectrum scanning period ≤ 10 ms and the function of extracting interference signal parameters, and dynamically generates a cooperative interference strategy including beam pointing and power spectral density; A reconfigurable antenna array module 2, which drives a reconfigurable dipole array based on a distributed gallium nitride power amplifier unit, realizes the switching of single-unit gain ≥ 8 dBi and 360° coverage in the omnidirectional mode and beam width ≤ 15° in the directional mode, and integrates an MEMS tunable filter bank to control the standing wave ratio ≤ 1.5; A multi-beam cooperative interference generation module 3, which is used to generate multi-band interference clusters with a spatial isolation degree ≥ 30 dB, and realizes a beam pointing error ≤ 0.5° and a suppression distance ≥ 3 km based on FPGA phase synchronization control; A thermal management module 4, which directly bonds gallium nitride power amplifier chips through a three-dimensional stacked microchannel liquid cooling structure, realizes a heat dissipation power density ≥ 800 W / cm², and combines a thermosensitive sensor network to control the chip junction temperature fluctuation ≤ ±2°C.

[0057] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, and all should be covered within the protection scope of the present invention.

Claims

1. A control method for a gallium nitride phased array antenna with multi-band cooperative interference, characterized in that, The steps include: Obtain the electromagnetic signals in the target airspace in real time, extract the key parameters of the electromagnetic signals, and generate a collaborative interference strategy combination including beam pointing, power distribution parameters, and frequency band preference weights; Map the frequency band preference weights to the dynamic operating modes of the gallium nitride power amplifier units, and adjust the radiation field pattern characteristics of the reconfigurable dipole arrays according to the power distribution parameters to construct a composite beamforming architecture matching the target frequency band; Based on the composite beamforming architecture, perform phase weighting and spatial multiplexing on the interference signals in each frequency band to generate a multi-beam interference cluster with time-frequency-space three-dimensional isolation characteristics; Collect the thermodynamic state data of the gallium nitride power amplifier modules during the generation process of the multi-beam interference cluster in real time, and regulate the heat dissipation parameters of the liquid cooling system according to the thermodynamic state data.

2. The method for controlling a gallium nitride phased array antenna for multi-band collaborative interference according to claim 1, wherein Obtain the electromagnetic signals in the target airspace in real time, extract the key parameters of the electromagnetic signals, and generate a collaborative interference strategy combination including beam pointing, power distribution parameters, and frequency band preference weights, specifically: Perform feature extraction processing on the electromagnetic signals to obtain the signal intensity, spectrum occupancy, and dynamic change characteristics of pulse parameters; Perform weighted aggregation on the signal intensity, spectrum occupancy, and dynamic change characteristics of pulse parameters to generate a fusion feature matrix including frequency band conflict index, signal aggregation degree, and pulse overlap factor, where the pulse overlap factor characterizes the time-domain overlap probability of interference signals in different frequency bands; According to the frequency band conflict index and pulse overlap factor in the fusion feature matrix, use the greedy algorithm to dynamically screen the frequency band combination with the optimal interference efficiency, and determine the beam pointing deflection compensation amount and power distribution weight for each frequency band, where the beam pointing deflection compensation amount is jointly corrected by the signal aggregation degree and the dynamic change characteristics of pulse parameters; Combine the frequency band preference weights and power distribution weights to generate a collaborative interference strategy combination including beam pointing deflection compensation amount, frequency band residence time, and power time slot modulation.

3. The method for controlling a gallium nitride phased array antenna for multi-band collaborative interference according to claim 2, wherein Combine the frequency band preference weights and power distribution weights to generate a collaborative interference strategy combination including beam pointing deflection compensation amount, frequency band residence time, and power time slot modulation, specifically: Perform dynamic normalization on the frequency band preference weights and power distribution weights to generate a joint optimization weight matrix, where the joint optimization weight for each frequency band is obtained by logarithmic compression of the product of the standard weight and power distribution weight for that frequency band; if the compressed value is lower than the preset threshold, it is determined that this frequency band does not participate in the current interference strategy combination; Based on the joint optimization weight matrix, initialize the initial deflection compensation amount of the beam pointing for each frequency band, and correct it in combination with the real-time electromagnetic environment disturbance coefficient in the target airspace. If the disturbance coefficient exceeds the adaptive threshold, use the gradient descent method to iteratively optimize the deflection compensation amount until the beam alignment accuracy requirement is met; According to the joint optimization weight matrix and beam pointing deflection compensation amount, use the weighted round-robin algorithm to allocate the frequency band residence time for each frequency band. If the joint optimization weight of a certain frequency band is higher than the preset competition threshold, give priority to extending its residence time and shortening the occupancy duration of the low-weight frequency bands; Dynamically divide power time slots based on the frequency band residence time and beam pointing deflection compensation amount, and use a non-linear programming algorithm to optimize the power allocation ratio of each time slot. If the interference effectiveness gain of a certain time slot is lower than the preset effectiveness threshold, trigger the power reallocation mechanism to readjust the transmission power of this time slot to match the current electromagnetic environment requirements; Integrate the beam pointing deflection compensation amount, frequency band residence time, and power allocation ratio to generate the final cooperative interference strategy combination.

4. A control method for a gallium nitride phased array antenna with multi-band collaborative interference according to claim 1, characterized in that, Map the frequency band preference weight to the dynamic operating mode of the gallium nitride power amplifier unit, and adjust the radiation field pattern characteristics of the reconfigurable dipole array according to the power allocation parameters to construct a composite beamforming architecture matching the target frequency band, specifically: Generate the drive bias voltage of the gallium nitride power amplifier unit at several preset working time nodes according to the cooperative interference strategy combination, and use the piecewise linear interpolation algorithm to generate the drive bias voltage curve of the gallium nitride power amplifier unit; and analyze the coincidence degree between the drive bias voltage curve and the reference bias voltage curve; If the coincidence degree is not greater than the preset coincidence degree threshold, dynamically correct the slope and intercept parameters of the drive bias voltage curve based on the frequency band preference weight in the cooperative interference strategy combination to generate a set of power amplifier dynamic operating parameters matching the real-time electromagnetic environment; and define the thermal coupling compensation factor between each power amplifier unit according to the set of power amplifier dynamic operating parameters; Combine the power allocation parameters and the set of power amplifier dynamic operating parameters, and use a distributed microstrip tuning circuit to real-time correct the equivalent electrical length of the dipole arm, and introduce the thermal coupling compensation factor for cross-unit compensation; During the compensation process, when the standing wave ratio of the array exceeds the tolerance threshold, introduce a gradient feedback mechanism to adjust the matching topology of the tuning circuit to generate an impedance optimization matrix for the radiation unit; Perform a joint operation on the impedance optimization matrix and the set of power amplifier dynamic operating parameters, where the phase regulation amount is differentially corrected according to the beam pointing deflection compensation amount and the inter-element decoupling parameter, and the amplitude regulation amount is time-domain weighted according to the power time slot modulation parameter and the thermal coupling compensation factor, and finally output a composite beamforming architecture with thermal-electric-frequency joint compensation characteristics.

5. A control method for a gallium nitride phased array antenna with multi-band cooperative interference according to claim 1, characterized in that, Based on the composite beamforming architecture, perform phase weighting and spatial multiplexing on the interference signals of each frequency band to generate a multi-beam interference cluster with time-frequency-space three-dimensional isolation characteristics, specifically: Based on the composite beamforming architecture, extract the carrier phase noise characteristics of the interference signals of each frequency band, and use an asymmetric phase compensation algorithm to generate phase weighting coefficients with frequency band differences; Perform a complex domain dot product operation on the phase weighting coefficients and the amplitude regulation amount in the composite beamforming architecture to generate a phase-optimized beam cluster with frequency band adaptive phase compensation characteristics; Input the phase-optimized beam cluster into an asymmetric MIMO beam synthesizer, and output a multiplexed beam group with spatial isolation characteristics according to the electromagnetic environment scattering characteristics of the target airspace; For each sub-beam in the multiplexed beam group, combine its corresponding frequency band residence time and power time slot modulation parameter, and use time-frequency interleaved coding technology to allocate the beam transmission timing to obtain a multi-beam interference cluster with time-frequency-space three-dimensional isolation characteristics.

6. A control method for a gallium nitride phased array antenna with multi-band cooperative interference according to claim 5, characterized in that Input the phase-optimized beam cluster into the asymmetric MIMO beam combiner. According to the scattering characteristics of the electromagnetic environment in the target airspace, output a multiplexed beam group with spatial isolation characteristics, specifically: Based on the phase-optimized beam cluster, extract the multipath scattering intensity distribution in the target airspace through spatial spectrum estimation methods, and generate an electromagnetic environment scattering matrix containing the azimuth angle of the scatterer and Doppler spread characteristics; Perform spatial convolution operation on the electromagnetic environment scattering matrix and the phase-optimized beam cluster to obtain the energy coupling degree between each beam. If the coupling degree is greater than the preset isolation threshold, trigger the beam pattern optimization flag and generate a set of beam pairs to be isolated; For the set of beam pairs to be isolated, use the subspace projection algorithm to orthogonalize the original beam weight vector, and synthesize the orthogonalized weight vector and the phase-optimized beam cluster through complex domain dot product operation to form a preprocessed beam group with spatial nulls; Input the preprocessed beam group into the MIMO beam combiner, and optimize the polarization dimension of the transmit beam using the principle of channel reciprocity. When it is detected that the cross-polarization isolation degree does not meet the requirements, superimpose the polarization rotation compensation factor, and finally output a multiplexed beam group with spatial-polarization two-dimensional isolation characteristics.

7. A control method for a gallium nitride phased array antenna with multi-band collaborative interference according to claim 1, characterized in that, Collect the thermodynamic state data of the gallium nitride power amplifier module in real time during the generation process of the multi-beam interference cluster, and regulate the heat dissipation parameters of the liquid cooling system according to the thermodynamic state data, specifically: Collect the temperature data, substrate heat flux density, and coolant flow rate of each preset position node in the gallium nitride power amplifier module through a distributed temperature sensor array; Calculate the local temperature rise rate of each preset position node according to the temperature data; if the local temperature rise rate of a certain preset position node exceeds the safety threshold, mark it as a high-temperature risk node; Perform spatial convolution operation on the substrate heat flux density and coolant flow rate of the high-temperature risk node to obtain the heat accumulation effect coefficient; According to the heat accumulation effect coefficient, adjust the flow distribution priority of the coolant path through the microchannel valve controller, and at the same time optimize the heat conduction efficiency of the radiator fins to generate a liquid cooling system regulation instruction set to implement directional enhanced heat dissipation for the high-temperature risk node.

8. A method for controlling a gallium nitride phased array antenna for multi-band collaborative interference according to claim 7, characterized in that, According to the heat accumulation effect coefficient, adjust the flow distribution priority of the coolant path through the microchannel valve controller, and at the same time optimize the heat conduction efficiency of the radiator fins to generate a liquid cooling system regulation instruction set, specifically: Compare the heat accumulation effect coefficient of each high-temperature risk node with the preset heat dissipation threshold. When the heat accumulation effect coefficient of a certain node exceeds the preset heat dissipation threshold, mark its corresponding heat dissipation channel as the first-priority regulation path; Based on the heat accumulation effect coefficient, combine hydrodynamic analysis to obtain the heat flow vector field of the high-temperature risk node. By extracting the heat flux density gradient and coupling and normalizing the heat accumulation effect coefficient, and then combining the microchannel topology structure for connectivity correction, generate a heat conduction priority matrix for controlling coolant distribution; Input the heat conduction priority matrix into the microchannel valve controller, and analyze the flow distribution weight of each branch using the hydrodynamic equivalent impedance model; If the impedance value of the primary priority control path is higher than the critical value, the laminar flow acceleration mode is triggered, and an initial flow control parameter set is generated through proportional-integral regulation. According to the initial flow control parameter set, the change in the contact thermal resistance of the radiator fins is monitored in real time. When the detected thermal resistance increment is greater than the allowable fluctuation range, the piezoelectric ceramic micro-displacement mechanism is activated to adjust the fin contact pressure, and the optimal thermal conductivity compensation value is determined in combination with the thermal accumulation effect coefficient to form a fin-substrate interface thermal resistance optimization coefficient. The flow control parameter set and the thermal resistance optimization coefficient are coupled and calculated. First, a pulsed flow enhancement factor is superimposed on the primary priority control path, and then a three-dimensional control instruction set including the valve opening time sequence, fin pressure level, and coolant flow rate is generated according to the gradient distribution characteristics of the heat conduction priority matrix to achieve the directional heat sink control of high-temperature risk nodes.

9. A gallium nitride phased array antenna control system for multi-band collaborative interference, which is applied to the gallium nitride phased array antenna control method steps described in any one of claims 1 to 8, and is characterized in that, It includes: A broadband dynamic spectrum sensing module that uses a multi-band electromagnetic scanning unit, supports continuous band coverage from 1.5 to 6 GHz, has a real-time spectrum scanning period ≤ 10 ms and the function of extracting interference signal parameters, and dynamically generates a cooperative interference strategy including beam pointing and power spectral density. A reconfigurable antenna array module that drives a reconfigurable dipole array based on a distributed gallium nitride power amplifier unit, realizes the switching between a single unit gain ≥ 8 dBi, 360° coverage in the omnidirectional mode, and a beam width ≤ 15° in the directional mode, and integrates a MEMS tunable filter bank to control the standing wave ratio ≤ 1.

5. A multi-beam cooperative interference generation module that is used to generate multi-band interference clusters with a spatial isolation degree ≥ 30 dB, and realizes a beam pointing error ≤ 0.5° and a suppression distance ≥ 3 km based on FPGA phase synchronization control. A thermal management module that directly bonds gallium nitride power amplifier chips through a three-dimensional stacked microchannel liquid cooling structure, realizes a heat dissipation power density ≥ 800 W / cm², and combines a thermosensitive sensor network to control the chip junction temperature fluctuation ≤ ±2°C.

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