Radar antenna beam domain adaptive conformal method and system under main lobe interference

Abstract

The invention discloses a radar antenna beam domain adaptive conformal method and system under main lobe interference, and relates to the technical field of radar antennae, and the method comprises the following steps: collecting real-time energy change sequences of a target signal and an interference signal in a dynamic frequency drift process; expanding the target signal frequency component and the interference signal frequency component under a unified time reference, and establishing a transient identification basis of frequency coupling; and according to the established frequency coupling transient identification basis, performing fine decomposition on the identified overlapped section energy spectrum, and extracting the energy peak distribution of the frequency coupling center. Through frequency coupling transient identification and dynamic energy indication, effective distinguishing of a target and interference in a time dimension is realized, a target self-elimination phenomenon under main lobe interference is suppressed, and in combination with frequency avoidance rhythm, energy rearrangement and dynamic phase regulation, the shape and direction of a main lobe are kept stable; and the target detection reliability and precision in a complex interference environment are improved.

Description

Technical Field

[0001] This invention relates to the field of radar antenna technology, and specifically to a method and system for adaptive conformal beam domain protection of radar antennas under main lobe interference. Background Technology

[0002] Adaptive conformal beamforming of radar antennas under main lobe interference refers to the process where, during radar operation, when a strong interference signal falls into the direction of the antenna's main lobe and overlaps with the target signal space, the target and interference components are dynamically separated within the beam domain. An adaptive regularization constraint and iterative optimization mechanism are introduced to adjust the weighting coefficients of each beam in real time, enabling the antenna beam to maintain its original main lobe shape and pointing stability while effectively suppressing interference energy within the main lobe. The specific implementation process is as follows: First, the received signal is decomposed into a main lobe target component and a main lobe interference component within the beam domain. Second, a constraint model is constructed using the interference detection results, and an adaptive regularization term is applied to the beam weighting vector. Then, the weighting coefficients are updated through iterative optimization to achieve both conformal beamforming of the signal energy in the main lobe region and suppression of interference energy. Finally, the corrected weighting vector is fed back to the beamforming network to dynamically maintain a balance between main lobe shape consistency and sidelobe suppression performance. This method balances beam integrity and anti-interference performance, maintaining high reliability and real-time responsiveness in radar target detection under complex main lobe interference scenarios.

[0003] The existing technology has the following shortcomings: In main lobe interference scenarios, the target signal and the interference signal may transiently overlap during dynamic frequency drift, causing energy coupling between the two. In this situation, beamform-preserving algorithms, during adaptive separation, may misjudge this coupled energy as a high-intensity interference component, thus weakening or even completely canceling the target signal during suppression, resulting in a "self-cancellation" phenomenon. This problem is characterized by its high concealment and short duration, often occurring during rapid changes in interference frequency or dynamic adjustments in platform attitude. Once it occurs, it leads to abnormal main lobe energy distribution, a sharp drop in the target echo signal-to-noise ratio, and consequently, a significant degradation in target detection performance, even causing momentary target loss of lock or inability to be identified, severely impacting the reliability and accuracy of radar detection.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide an adaptive conformal method and system for radar antenna beam domain under main lobe interference, so as to solve the problems in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an adaptive conformal method for radar antenna beam domain under main lobe interference, comprising the following steps: Step 1: Collect the real-time energy change sequence of the target signal and the interference signal during the dynamic frequency drift process, expand the frequency components of the target signal and the frequency components of the interference signal under a unified time reference, and establish the basis for transient identification of frequency coupling. Step 2: Based on the established frequency coupling transient identification foundation, perform fine decomposition on the energy spectrum of the identified overlapping sections, extract the energy peak distribution of the frequency coupling center, and generate dynamic energy indication results that reflect the degree of interference and encroachment on the target energy. Step 3: Based on the dynamic energy indication results, the time distribution of the beam weighting coefficients is adjusted by a slight delay. By adjusting the time response of the beam weighting coefficients, the rhythm of the interference energy change and the rhythm of the target energy response are dynamically staggered on the time axis to form a frequency avoidance rhythm. Step 4: Based on the established frequency avoidance rhythm, the energy response within the antenna main lobe range is time-rearranged, and the target energy covered by the interference is returned to its original position according to the time interval, restoring the energy concentration and directional consistency of the main lobe. Step 5: Based on the recovered main lobe energy concentration, implement dynamic phase control of the beam direction and correct the phase shift generated during frequency avoidance according to the energy repositioning result.

[0007] Preferably, the step of acquiring the real-time energy change sequence of the target signal and the interference signal during the dynamic frequency drift process includes: In a dynamic frequency drift environment where the target signal and the interference signal work together, real-time acquisition of signal energy is performed. By continuously recording the echo energy intensity and corresponding frequency distribution of the target signal at each time point, and simultaneously recording the frequency shift trajectory and energy intensity change of the interference signal over time, a time-continuous energy change sequence is formed. The frequency components of the target signal and the interference signal are expanded onto a unified time reference. Within the same time reference frame, the energy changes of the target signal and the energy changes of the interference signal are synchronously mapped to establish the correspondence of energy distribution in the time domain. Based on the time-continuous energy distribution, the region where the energy peaks of the target signal and the interference signal intersect on the time axis is determined, the transient time range of frequency coupling is defined, and the start and end times of coupling are recorded to form a transient coupling time window; The start and end positions of the coupling phase are marked on the time axis based on the transient coupling time window, forming a time reference sequence that includes the independent phase, coupling phase, and separation phase of the target signal, which is used for the time differentiation and dynamic adjustment of the subsequent beam response.

[0008] Preferably, the step of performing fine decomposition of the energy spectrum of the identified overlapping regions includes: Based on the time reference, the frequency coupling relationship between the target signal and the interference signal under a unified time base is located. By segmenting and calibrating the coupling start time, peak time and end time, the corresponding overlapping segment range on the time axis is determined, and the frequency interval of energy crossing is marked by combining the real-time energy change sequence. Within the overlapping section, guided by time reference, the energy superposition relationship between the target signal and the interference signal is analyzed point by point, and the total energy spectrum is divided into the target energy part, the interference energy part and the coupling energy part, while maintaining the continuity of the time domain and the frequency domain. In the decomposed energy spectrum, the peak positions and amplitudes of the target signal and the interference signal at the frequency coupling center are determined, the energy change curve of the target signal is obtained, and the energy peak distribution is extracted. Based on the energy peak distribution at the frequency coupling center, a dynamic energy indication result reflecting the degree of interference and encroachment on the target signal energy is generated, and the correspondence between time and energy is used as the energy basis for adjusting the time distribution of the beam weighting coefficient.

[0009] Preferably, the dynamic energy indication result is formed by continuously arranging the time series of energy peak distribution at the frequency coupling center to form an energy change curve, and the time correspondence between the target signal energy and the interference signal energy is used to determine the duration and amplitude of energy encroachment, so as to generate a set of time and energy dual-variable correspondences as the input basis for adjusting the time distribution of beam weighting coefficients.

[0010] Preferably, the step of performing micro-delay adjustment on the time distribution of the beam weighting coefficients includes: Based on the correspondence between the target signal energy and the interference signal energy over time reflected in the dynamic energy indication results, the time response characteristics of the beam weighting coefficients are obtained, and the time correspondence between the weighting coefficients and the target energy is determined. By combining the overlap time of the target signal energy decline segment and the interference energy rise segment in the dynamic energy indication results, a time offset is introduced in the interference energy peak interval, so that the response timing of the beam weighting coefficients produces a controllable delay relative to the target energy response rhythm, forming a time difference basis; Based on the rhythm of interference energy changes in the dynamic energy indication results, dynamic stagger control is implemented on the time distribution of beam weighting coefficients to ensure that the beam energy response avoids the moment when the interference energy peak occurs and maintains the continuity of the response. By correlating the beam weighting coefficient time response adjustment results with the dynamic energy indication results, an alternating distribution pattern of target signal energy and interference energy is formed on the time axis, establishing a frequency avoidance rhythm and using it as the basis for the time interval of energy rearrangement.

[0011] Preferably, during the time response adjustment of the beam weighting coefficients, the time offset amplitude within the peak interference energy range is adaptively determined based on the target signal energy decrease rate in the dynamic energy indication result, and the original weighting response timing is synchronously restored during the interference energy attenuation phase, so as to ensure that the beam energy output corresponds continuously to the target signal energy change on the time axis, thereby maintaining the main lobe energy balance and beam direction stability.

[0012] Preferably, the step of performing time rearrangement of the energy response within the main lobe range of the antenna includes: Based on the time response distribution of the beam weighting coefficients and the dynamic energy indication results, the energy interval within the antenna main lobe range is calibrated, the energy change pattern of each time period in the frequency avoidance rhythm is analyzed, and an energy allocation framework is established based on the time interval to determine the energy state. Based on the energy interval division results, target signal energy data of the interference coverage phase is extracted, and the degree of suppression of target signal energy is identified by the time correspondence between target signal energy and interference signal energy. The weakened energy components are extracted and the time continuity is maintained. Based on the time intervals formed in the frequency avoidance rhythm, the target signal energy in the interference coverage phase is rearranged along the time axis to the interference energy decay phase, thereby realizing the re-aggregation and recovery of the target energy in the time dimension and maintaining the energy distribution balance. The energy response within the main lobe range is restored as a whole. By fusing the energy of the target signal that has been returned to its original position with the energy that has not been affected by interference, the energy concentration and directional consistency of the main lobe are re-established, providing an energy basis for dynamic phase modulation.

[0013] Preferably, the return adjustment of the target signal energy during the time rearrangement process is based on the time interval in the frequency avoidance rhythm. The main lobe energy is continuously restored by rearranging the target signal energy during the interference energy attenuation stage. During energy fusion, the main lobe direction is synchronously corrected according to the dynamic energy indication result, so that the energy distribution is consistent with the beam pointing to ensure the energy concentration in the main lobe region is stable.

[0014] Preferably, the step of performing dynamic phase control on the beam pointing includes: After the main lobe energy concentration is restored, the phase shift generated by the beam during the energy repositioning stage is detected. By comparing the time series of the main lobe energy distribution before and after energy repositioning, the shift trend of the phase center on the time axis is determined and the direction of phase change is marked. Based on the energy repositioning results, the phase error distribution characteristics are identified. By analyzing the correspondence between the target signal energy center and the beam main lobe direction, the coupling characteristics of the phase error in the spatial and temporal domains are determined, and the phase shift direction and degree are identified. Based on the phase error identification results, dynamic phase control is implemented on the beam pointing. With the main lobe energy concentration distribution center as the target, the phase lag introduced by the delay is repaired by synchronously adjusting the phase of the beam weighting coefficient and maintaining the continuity of control. The phase-modulated beam is stabilized and maintained. By continuously fine-tuning the beam direction, the center of the main lobe is kept consistent with the peak energy of the target signal, so that the shape of the antenna main lobe is stabilized and the complete detection performance of the target echo is maintained.

[0015] The radar antenna beam domain adaptive conformal system under main lobe interference includes a frequency coupling identification module, an energy decomposition indication module, a weighted delay adjustment module, an energy rearrangement and repositioning module, and a phase dynamic control module. The frequency coupling identification module collects the real-time energy change sequence of the target signal and the interference signal during the dynamic frequency drift process, expands the frequency components of the target signal and the frequency components of the interference signal under a unified time reference, and establishes the basis for transient identification of frequency coupling. The energy decomposition indicator module, based on the established frequency coupling transient identification foundation, performs fine decomposition on the energy spectrum of the identified overlapping segments, extracts the energy peak distribution of the frequency coupling center, and generates dynamic energy indication results that reflect the degree of interference and encroachment on the target energy. The weighted delay adjustment module, in conjunction with the dynamic energy indication results, performs micro-delay adjustment on the time distribution of the beam weighting coefficients. By adjusting the time response of the beam weighting coefficients, the rhythm of the interference energy change and the rhythm of the target energy response are dynamically staggered on the time axis to form a frequency avoidance rhythm. The energy rearrangement module, based on the frequency avoidance rhythm, performs time rearrangement of the energy response within the main lobe range of the antenna, and repositions the target energy covered by interference according to the time interval, restoring the energy concentration and directional consistency of the main lobe. The phase dynamic control module, combined with the recovered main lobe energy concentration, performs dynamic phase control on the beam pointing and corrects the phase shift generated during frequency avoidance based on the energy repositioning result.

[0016] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention establishes a transient identification basis for frequency coupling and introduces dynamic energy indication results, enabling clear differentiation between target and interference signals in the time dimension under dynamic frequency drift conditions. This avoids the problem of energy coupling being misjudged as interference components. The scheme maintains continuous perception of target energy changes even during the brief period of main lobe interference, effectively suppressing the self-cancellation phenomenon of the target signal in beam adaptive processing, and significantly improving the stability and sustainable output capability of the target echo energy.

[0017] This invention utilizes frequency avoidance rhythm-driven energy rearrangement and dynamic phase modulation to maintain a consistent energy distribution within the main lobe in both time and direction. This suppresses interference energy within the main lobe while preserving the stability of its shape and pointing. This method enables the continuous detection of target echoes even when interference frequencies change rapidly or platform states are dynamically adjusted, enhancing the radar's detection reliability and pointing accuracy in complex electromagnetic environments. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1 This is a flowchart of the adaptive conformal method for radar antenna beam domain under main lobe interference according to the present invention.

[0020] Figure 2 This is a schematic diagram of the radar antenna beam domain adaptive conformal system under main lobe interference according to the present invention. Detailed Implementation

[0021] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0022] This invention provides, for example Figure 1 The adaptive conformal method for radar antenna beam domain under main lobe interference, as shown, includes the following steps: Step 1: Collect the real-time energy change sequence of the target signal and the interference signal during the dynamic frequency drift process, expand the frequency components of the target signal and the interference signal under a unified time reference, establish the basis for frequency coupling transient identification, and construct a time reference for identifying the transient overlap of the target and interference. The specific implementation method for this step is as follows: In a dynamic frequency drift environment where target and interference signals interact, real-time acquisition of signal energy is performed. This acquisition process is conducted at the radar receiver, continuously recording the echo energy intensity and corresponding frequency distribution of the target signal at various time points to form energy variation curves of the target signal on the time and frequency axes. Simultaneously, interference signals are acquired synchronously, recording the frequency shift trajectory and energy intensity changes of the interference signal over time as another continuous curve. To ensure the integrity of the energy information of both types of signals, the acquisition process divides the time interval into equal segments, acquiring the energy amplitude data of the target and interference signals within each time slice to form a time-continuous energy sequence. Through continuous acquisition, the stable rise, attenuation, or jitter trend of the target signal energy over time, as well as the periodic variation characteristics of the interference signal energy during frequency drift, can be obtained, thus completely recording the energy evolution process of the target and interference signals in a dynamic scenario.

[0023] After obtaining the real-time energy change sequences of the target signal and the interference signal, the frequency components of both signals are unfolded onto a unified time reference. This unfolding process uses the radar echo reception time as a reference to establish a consistent time reference axis throughout the entire process. Each frequency component of the target signal is aligned with its corresponding acquisition time point, and each frequency component of the interference signal is unfolded on the same time axis, allowing the two types of signals to be correlated and analyzed within the same time reference frame. This method eliminates the time differences between the target signal and the interference signal at different sampling starting points, different propagation delays, and different frequency drift rates, enabling synchronous mapping of the energy changes of the target signal and the interference signal at the same time scale. At this point, the frequency drift trajectories of the target signal and the interference signal are integrated into two continuous energy distribution surfaces on the time reference. When the drift trajectory of the interference signal enters the frequency distribution region of the target signal, the two form an overlapping area in both the time and frequency domains, thus providing a basis for subsequent transient identification. Through unified time reference unfolding, a comparable energy distribution relationship is established between the target signal and the interference signal in the time domain, creating conditions for accurately identifying their coupling state.

[0024] After the frequency components of the two types of signals are expanded to a time reference, a transient identification basis for frequency coupling is constructed based on the characteristics of continuous energy changes over time. This process analyzes the continuous energy distribution to identify the region where the energy peaks of the target signal and the interference signal intersect on the time axis, and delineates the transient time range of frequency coupling within this region. When the energy peak of the interference signal gradually approaches the center of the target signal's frequency distribution and its energy amplitude exceeds the background energy of the target signal, this time period can be identified as a potential frequency coupling interval. Within this interval, the correspondence between the energy of the target signal and the interference signal on the time series is recorded, and the time points of coupling start, coupling peak, and coupling end are extracted to form a transient coupling time window. This time window reflects the entire process of the target signal and the interference signal from independent existence to coupling during dynamic frequency drift, including multiple characteristics such as energy crossover, frequency overlap, and consistent energy change rates. By constructing this transient identification basis, the coupling stage of the target signal and the interference signal can be determined in continuous data, providing a reliable time basis for energy separation and interference identification.

[0025] After establishing the foundation for frequency coupling transient identification, a time reference is created based on the identified coupling time window to identify transient overlap between the target and interference signals. This time reference, centered on a unified time base and based on the energy interaction between the target and interference signals during dynamic frequency drift, forms a complete time reference sequence by marking the start and end positions of each coupling stage on the time axis. This time reference sequence includes three parts: the independent stage of the target signal, the coupling stage, and the separation stage, corresponding to the entire process of the target signal energy being affected by interference. In subsequent beam weighting and energy adjustment stages, the beam response at different time periods can be differentiated based on this time reference, effectively distinguishing the changes in interference energy from the target energy response in the time dimension, thus providing a basis for the dynamic maintenance of the main lobe energy. This time reference not only clarifies the energy interaction between the target and interference signals under dynamic frequency drift conditions but also provides a precisely traceable time index for frequency avoidance and energy rearrangement, enabling the beam adaptive conformal process to maintain a consistent response in both the time and frequency domains.

[0026] Through the implementation of the above steps, the real-time energy change sequences of the target signal and the interference signal during dynamic frequency drift are completely acquired and expanded to a unified time reference, thus establishing the basis for transient identification based on frequency coupling and creating a time reference for the transient overlap of the target and interference signals. This process comprehensively correlates the energy change processes of the target signal and the interference signal in both the time and frequency domains, enabling the radar beam to process the signal in an orderly manner based on the time reference under main lobe interference conditions. This provides continuous and accurate time support for subsequent delay adjustment of beam weights, energy rearrangement, and phase correction, ensuring that the radar maintains a stable main lobe shape and reliable target detection performance in complex electromagnetic environments.

[0027] Step 2: Based on the established frequency coupling transient identification foundation, perform fine decomposition on the energy spectrum of the identified overlapping section, extract the energy peak distribution of the frequency coupling center, generate dynamic energy indication results that reflect the degree of interference and encroachment on the target energy, and use the dynamic energy indication results as the energy basis for subsequent time delay adjustment. The specific implementation method for this step is as follows: After establishing the foundation for frequency-coupled transient identification, the frequency coupling relationship between the target signal and the interference signal under a unified time reference is precisely located based on the established time reference. By segmenting and calibrating the coupling start time, peak time, and end time recorded in the transient identification foundation, the corresponding overlapping segment range on the time axis is determined. Within this range, combined with the real-time energy change sequences of the target signal and the interference signal, the specific frequency intervals where the two types of signals produce energy intersections on the frequency axis are marked, thus forming an overlapping segment defined by both time and frequency. This overlapping segment centrally reflects the spatiotemporal region where the target signal energy is covered or encroached upon by the interference signal, and its range directly affects the accuracy and stability of subsequent energy spectrum decomposition. By precisely defining this overlapping segment, the analysis boundary can be limited during energy decomposition, avoiding interference from the uncoupled portion of the target signal energy, ensuring that the energy spectrum decomposition process only targets the frequency coupling center region, thereby maintaining consistency between the processing results and the actual energy interaction process.

[0028] After identifying the overlapping section, a fine decomposition of the energy spectrum within that section is performed. Guided by a time reference, the energy superposition relationship between the target signal and the interfering signal is analyzed point-by-point along the time direction of the overlapping section. The energy response of the target signal at different frequencies is compared with the energy distribution of the interfering signal at the same frequencies. Through this refined decomposition at each frequency and time point, the total energy spectrum within the entire overlapping section is divided into three levels: the target signal energy component, the interfering signal energy component, and the coupling energy component. This ensures that the energy distribution at each time point accurately reflects the changing trend of the energy source. During the decomposition process, the continuity of energy changes over time is maintained to ensure that the energy transition within the overlapping section remains consistent in both the time and frequency domains. This allows the decomposition results to fully reflect the dynamic process of the target signal energy being covered by the interfering energy. This fine decomposition transforms the energy characteristics of the overlapping section from a generally mixed state into a distinguishable hierarchical structure, providing a foundation for subsequent energy peak extraction.

[0029] After fine decomposition of the energy spectrum in the overlapping section, the energy peak distribution at the frequency coupling center is extracted. By determining the location and amplitude of the energy peaks of the target signal and the interfering signal in the decomposed energy spectrum, the energy change curve of the target signal at the frequency coupling center is obtained. This curve reflects the time-varying characteristics of the target signal's energy intensity under the influence of the interfering signal, i.e., the entire process of energy encroachment, recovery, or fluctuation. By extracting the energy peaks at the frequency coupling center, the attenuation depth and recovery trend of the target signal energy under the interference can be clearly depicted, thereby quantifying the dynamic degree of energy encroachment of the target signal. During the extraction process, consistency between time continuity and frequency continuity is maintained to ensure that the changes in energy peaks completely match the actual frequency drift. This energy peak distribution not only reflects the direct effect of the interfering energy on the target signal but also reveals the transmission and diffusion characteristics of energy within the coupling region, enabling subsequent energy indication results to fully reflect the disturbed state of the target signal.

[0030] Finally, based on the energy peak distribution at the frequency coupling center, a dynamic energy indication result reflecting the degree of interference encroachment on the target energy is generated, and this result serves as the energy basis for subsequent time delay adjustment. During the generation process, the energy peak values ​​extracted at different time points are arranged chronologically to form a dynamic curve showing the change of the target signal energy over time. This curve is analyzed in correspondence with the interference signal energy change curve on the time axis to derive the dynamic relationship of the energy difference between the two. Through this relationship, the duration and degree of interference covering the target signal energy can be clearly defined, and the temporal pattern of the interference energy's influence on the target signal energy can be further obtained. Ultimately, this dynamic energy indication result is output as a set of corresponding time and energy variables, serving as the input basis for subsequent beam weight time distribution adjustment. In subsequent steps, the time response of the beam weighting coefficients is delayed based on this energy indication result to ensure that the beam energy output remains consistent with the target signal energy change, thereby achieving dynamic avoidance and recovery of the target energy. The dynamic energy indication results not only reflect the energy disturbance characteristics of the target signal in the overlapping section, but also provide a continuously updated energy reference for adaptive conformal beamforming, enabling the beam to have dynamic perception and real-time response capabilities to energy changes in the main lobe interference environment.

[0031] Through the above steps, the energy spectrum of the identified overlapping sections was completely and finely decomposed, the energy peak distribution at the frequency coupling center was extracted, the degree of interference affecting the target signal energy was quantified, and dynamic energy indication results were generated. The entire process maintained continuity and correspondence in both the time and frequency domains, fully revealing the energy variation characteristics of the target and interference signals within the coupling interval. This provided a precise energy basis for subsequent beam weight time delay adjustment, thereby maintaining stable radar beam direction, balanced energy distribution, and consistently reliable target detection performance under main lobe interference conditions.

[0032] Step 3: Combine the dynamic energy indication results and implement micro-delay adjustment on the time distribution of the beam weighting coefficients. By adjusting the time response of the beam weighting coefficients, the rhythm of the interference energy change and the rhythm of the target energy response are dynamically staggered on the time axis to form a frequency avoidance rhythm, so as to establish a time interval for subsequent energy rearrangement. The specific implementation method for this step is as follows: After generating the dynamic energy indication results, the time response characteristics of the beamweighting coefficients are obtained based on the correspondence between the target signal energy and the interference signal energy over time, as reflected in the results. This process determines the energy interaction pattern between the target signal energy curve and the interference signal energy curve on the time axis by analyzing their phase relationship. When the interference signal energy rises and approaches the peak range of the target signal energy, it indicates that the target signal may be affected by interference energy. If the time response of the beamweighting coefficients remains synchronized with the change in interference energy during this period, the target signal energy will be partially canceled out. Therefore, by extracting the response rhythm of the target signal energy in the dynamic energy indication results, the temporal pattern of target signal energy enhancement and attenuation can be identified, and the time correspondence between the beamweighting coefficients and the target energy can be further obtained, enabling the weighting coefficients to have adjustable response characteristics on the time axis. This process provides a time-based basis for subsequent weighting coefficient delay adjustment, allowing the adjustment to be performed around the key periods of interference energy change.

[0033] After obtaining the time response characteristics of the beamweighting coefficients, the micro-delay adjustment method for the beamweighting coefficients is determined by combining the dynamic energy indication results. This step uses the time window during which the target signal energy is affected by interference as a reference. By introducing a slight time offset near the peak of the interference energy change, the response timing of the beamweighting coefficients is subject to a controllable delay relative to the target energy response rhythm. During this process, the amplitude and direction of the delay adjustment are determined based on the overlap time between the target signal energy decline segment and the interference energy rise segment reflected in the dynamic energy indication results. When the interference signal energy rises rapidly, the response of the beamweighting coefficients should lag slightly behind the target signal energy response in time to avoid synchronizing the energy change rhythms of the two, thereby preventing the beam from excessively suppressing the main lobe signal energy at that moment. In this way, the beam's response sensitivity to interference signals can be weakened in the high-intensity interference energy range, while timely restoration of weighting enhancement for the target signal energy is achieved during the interference energy decline phase, giving the beamweighting a dynamic peak-shifting characteristic in time. The implementation of this delay adjustment ensures that the beamweighting coefficients can flexibly follow energy changes without disrupting the overall shape of the main lobe beam, providing a time difference basis for subsequent time-shifting control.

[0034] After determining the weighted delay adjustment method, dynamic staggered control is implemented on the distribution of beam weighting coefficients along the time axis based on the rhythm of interference energy changes in the dynamic energy indication results. This step establishes a time correspondence between the adjusted beam weighting coefficient time series and the target signal energy response sequence, ensuring that the beam's energy response avoids the moment when the interference energy peak occurs. Specifically, when the dynamic energy indication results show that the interference energy reaches its peak and overlaps with the target signal energy, delay adjustment shifts the high-response segment of the beam weighting coefficients to the interference energy attenuation range, thus staggering the energy change rhythms of the two in time. During the staggered control process, the continuity of the weighting coefficients is maintained during non-interference periods to avoid beam shape changes caused by time delay. Through continuous staggered control, the time response curve of the beam forms a flexible extension during interference intensity changes, ensuring that the target signal energy response is always within a relatively safe time region after the interference energy peak, thereby ensuring that the integrity of the target signal energy is not weakened. This staggered control enables the radar beam to form an active avoidance mechanism against interference energy changes in the time dimension, laying the foundation for establishing a stable frequency avoidance rhythm.

[0035] After completing the time-staggered control of the beam weighting coefficients, a frequency avoidance rhythm is established by creating a regular alternation between the target signal energy response rhythm and the interference energy change rhythm on the time axis. This rhythm serves as the basis for subsequent energy rearrangement time intervals. During this process, the time response adjustment results of the beam weighting coefficients are correlated with the dynamic energy indication results to form a periodic time series describing the alternating distribution pattern of target signal energy and interference energy over continuous time periods. This pattern allows for the determination of the energy interval formed by each beam weighting coefficient response delay on the time axis, separating the interference energy peak from the target signal energy peak in time, and refocusing the target signal energy during the interference energy decline phase. The resulting frequency avoidance rhythm reflects the adaptive response rhythm of the beam to changes in interference energy. This rhythm not only ensures the continuous temporal balance of the main lobe energy but also provides a clear time division standard for subsequent energy rearrangement, enabling the beam weighting process to have dynamic time-domain control capabilities. Through this mechanism, the radar can maintain a stable main lobe beam shape under main lobe interference conditions, while simultaneously achieving dynamic maintenance of target signal energy and temporal avoidance of interference energy.

[0036] Through the execution of the above steps, combined with the dynamic energy indication results, a slight delay adjustment was applied to the temporal distribution of the beam weighting coefficients. This enabled the beam weighting response to adjust temporally according to the rhythm of the interference energy changes, thereby forming a regular frequency avoidance rhythm on the time axis. This process establishes a dynamic staggered relationship between the target energy and the interference energy in the time dimension, providing a time interval basis for subsequent main lobe energy rearrangement. This allows the beam to have continuous and adaptive time-domain control capabilities under main lobe interference conditions, ensuring the energy stability and directional consistency of the target signal in the main lobe region, and providing continuous dynamic adjustment support for achieving adaptive conformal beamforming in the overall beam domain.

[0037] Step 4: Based on the established frequency avoidance rhythm, the energy response within the antenna main lobe range is time-rearranged, and the target energy covered by the interference is returned to its original position according to the time interval, thereby restoring the energy concentration and directional consistency of the main lobe, and providing an energy basis for subsequent phase modulation. The specific implementation method for this step is as follows: After the frequency avoidance rhythm is established, the energy interval within the antenna's main lobe range is calibrated based on the time response distribution of the beam weighting coefficients and the dynamic energy indication results. By analyzing the energy change patterns in each time period of the frequency avoidance rhythm, the time range during which the target signal energy is covered by interference energy is determined, and the starting and ending points of energy rearrangement are delineated using this range as the center. During this process, based on the time intervals formed in the frequency avoidance rhythm, the target signal energy and interference signal energy are mapped onto the time axis, clarifying their energy proportions in different time slices. In this way, an energy allocation framework can be established in the time domain, dividing the energy response within the main lobe range into multiple continuous time units. Each time unit corresponds to a specific energy state, including the target energy being covered by interference, the target energy recovery phase, and the interference energy attenuation phase. This energy interval calibration provides precise temporal positioning for subsequent energy extraction and rearrangement, ensuring a clear temporal reference and structural continuity in the energy recovery process.

[0038] After energy interval calibration, the target energy covered by interference is extracted. This extraction process uses the time interval division results as a basis, selecting target signal energy data within the interference energy coverage phase, and determining the energy loss portion of the target signal during this phase based on the amplitude changes of target signal energy decrease and recovery in the dynamic energy indication results. By comparing the changes in the corresponding positions of the interference energy and target energy on the time axis, the degree to which the target signal energy is suppressed by the interference signal can be identified, thereby extracting the target energy components weakened or masked during the peak of interference. During the extraction process, temporal continuity is maintained, ensuring that the target energy is presented as a continuous sequence throughout the overlapping section without abrupt changes or breaks. This method fully preserves the energy profile of the target signal within the main lobe region, providing a reconstructable energy data basis for subsequent time-alignment adjustments.

[0039] After the target energy is extracted, it is adjusted for time repositioning based on the time intervals formed during the frequency avoidance rhythm. This process involves rearranging the target signal energy extracted during the interference coverage phase according to the time window of the interference energy decline during the avoidance rhythm, allowing the target signal energy to gradually return to its original time position during the interference energy attenuation phase. Specifically, within the periodic gaps of the interference energy change rhythm, the target signal energy is shifted backward along the time axis to a time period that is offset from the interference energy, thus achieving a redistribution of the target energy. In this way, the weakened target signal energy no longer overlaps with the interference signal energy in time, thereby achieving the re-aggregation and recovery of the target energy in the time dimension. During the adjustment process, the continuity of energy distribution and the energy balance between adjacent time units are maintained to ensure that the repositioning of the target signal energy does not disrupt the smoothness of the overall energy response of the main lobe. This time repositioning adjustment process is essentially a reverse utilization of the frequency avoidance rhythm in the time dimension, allowing the beam's energy output after the interference to return to a state consistent with the rhythm of the target signal.

[0040] After the target signal energy completes time repositioning, the energy response within the main lobe area is comprehensively restored, re-establishing the main lobe energy concentration and directional consistency. This process involves continuously fusing the repositioned target signal energy with the unaffected portion of the target energy, causing the energy distribution within the main lobe area to re-form a concentrated state. By balancing the continuous distribution of the main lobe energy in the time domain, the energy is spatially refocused towards the main lobe direction, ensuring the stability of the main lobe gain center and preventing energy shift or diffusion due to interference. Simultaneously with energy restoration, a minor adjustment to the main lobe direction is made based on the time repositioning results, unifying the target signal in both time and direction dimensions, resulting in a stable energy concentration state for the beam within the restored main lobe area. Through this restoration process, the consistency of the main lobe direction is rebuilt, and the beam energy concentration is fully restored, establishing a reliable energy foundation for subsequent dynamic phase modulation.

[0041] Through the implementation of the above steps, the time rearrangement based on the frequency avoidance rhythm is completed, the target energy covered by interference within the main lobe range is restored, and the energy concentration and directional consistency of the main lobe are restored. The entire process achieves energy redistribution and dynamic aggregation in the time domain and maintains the stable direction of the main lobe beam in the spatial domain, providing continuous and reliable energy support for subsequent phase modulation. This enables the radar beam to maintain complete detection capability and energy response consistency in both time and space under main lobe interference conditions.

[0042] Step 5: Combine the recovered main lobe energy concentration to implement dynamic phase control of the beam pointing, and correct the phase shift generated during frequency avoidance based on the energy repositioning result, so as to maintain the stability of the antenna main lobe shape and maintain the complete detection performance of the target echo. The specific implementation method for this step is as follows: After the main lobe energy concentration is restored, the phase shift generated by the beam during the energy repositioning phase is detected. This detection is based on the distribution characteristics of the main lobe energy at different time points after time rearrangement, combined with the time intervals formed in the frequency avoidance rhythm, to analyze the phase changes of the beam weighting coefficients during the time delay adjustment process. Since the frequency avoidance rhythm causes a slight shift in the response timing of the beam weighting coefficients during the energy avoidance and energy repositioning phases, this results in a slight drift of the main lobe phase center in the time dimension. Therefore, in this step, by comparing the time series of the main lobe energy distribution before and after energy repositioning, the shift trend of the phase center on the time axis is determined, and the direction of phase change is identified. This process can clarify the phase shift range of the beam during frequency avoidance and energy rearrangement, providing a quantitative basis for subsequent phase error identification and enabling dynamic control to have a clear phase starting point reference.

[0043] After acquiring the phase shift trend of the beam, the distribution characteristics of the phase error are identified based on the energy repositioning results. This step uses the spatial energy distribution after the main lobe energy concentration is recovered as a basis, and determines the coupling characteristics of the phase error in the spatial and temporal domains by analyzing the correspondence between the target signal energy center and the beam main lobe direction. If, after the target signal energy has been repositioned in time, the main lobe direction still deviates slightly from the target energy center, it indicates that the phase response of the beam weighting coefficients was not fully synchronized with the energy repositioning during the time misalignment caused by the frequency avoidance rhythm. By comparing this temporal and spatial difference, the specific direction and degree of phase shift can be identified, i.e., the characteristic interval of the beam main lobe phase shift or lag can be identified. This identification process correlates the energy repositioning data with the main lobe phase response data to clarify the slight phase inconsistency between the main lobe's spatial pointing and energy distribution, enabling subsequent phase correction to perform targeted directional correction.

[0044] After phase error identification, dynamic phase control is applied to the beam pointing based on the identification results. This control targets the distribution center of the main lobe energy concentration, ensuring complete temporal and spatial alignment between the beam's phase response and energy distribution. Specifically, after time realignment, the phase portion of the beam weighting coefficients is synchronously adjusted to gradually correct the phase lag introduced by delay, realigning the beam phase with the peak energy of the target signal in time. Simultaneously, based on the spatial energy distribution trend reflected in the energy realignment results, the angular response amplitude of the main lobe phase is adjusted, reorienting the main lobe pointing towards the target signal energy center, ensuring the main lobe peak coincides with the energy peak. Throughout this process, the continuity of beam phase control is maintained, ensuring seamless transitions between phase corrections in different time periods, avoiding abrupt changes or gaps, thus maintaining a smooth transition in the main lobe direction during dynamic control. Through this process, the beam's phase response is unified in both time and space, ensuring the stability of the main lobe shape after energy realignment under dynamic interference conditions.

[0045] After dynamic phase modulation is completed, the corrected beam is stabilized to maintain the antenna main lobe shape in a stable state over a long period. This step, based on phase modulation, uses the recovered main lobe energy concentration as feedback to continuously fine-tune the beam direction, ensuring the main lobe center automatically follows the target signal energy peak. When external interference frequencies change or the platform attitude dynamically shifts, the time distribution of the phase response is adjusted in real time to maintain the consistency between the main lobe direction and the target signal energy center. During this stabilization process, the beam energy distribution remains stable within the main lobe range, without diffusion or tilting, and the main lobe gain profile maintains a constant shape in the spatial domain. Through continuous phase stabilization, the main lobe energy concentration is maintained, and beam direction consistency is ensured over a long period, enabling the antenna to fully detect and accurately acquire target echoes even in complex main lobe interference environments, preventing the target signal from being weakened or distorted due to phase drift.

[0046] Through the above steps, combined with the recovered main lobe energy concentration, dynamic phase control was implemented on the beam pointing. The phase shift generated during frequency avoidance was corrected based on the energy repositioning results, thereby maintaining the stability of the antenna's main lobe shape and preserving the complete detection performance of the target echo. This process, based on both main lobe energy recovery and phase adjustment, achieves synchronization between the beam direction and the target signal energy. This enables the radar to maintain the directional stability and energy focusing of the main lobe beam over long periods in complex interference environments, providing the ultimate phase stability support and performance guarantee for achieving beam-domain adaptive conformal control.

[0047] Beneficial effect 1: This invention establishes a transient identification basis for frequency coupling and introduces dynamic energy indication results, enabling clear differentiation between target and interference signals in the time dimension under dynamic frequency drift conditions. This avoids the problem of energy coupling being misjudged as interference components. The scheme maintains continuous perception of target energy changes even during the brief period of main lobe interference, effectively suppressing the self-cancellation phenomenon of the target signal in beam adaptive processing, and significantly improving the stability and sustainable output capability of the target echo energy.

[0048] Benefit 2: This invention utilizes frequency avoidance rhythm-driven energy rearrangement and dynamic phase modulation to maintain a consistent energy distribution within the main lobe in both time and direction. This suppresses interference energy within the main lobe while preserving the stability of its shape and pointing. This method enables the continuous detection of target echoes even when interference frequencies change rapidly or platform states are dynamically adjusted, enhancing the radar's detection reliability and pointing accuracy in complex electromagnetic environments.

[0049] This invention provides, for example Figure 2The radar antenna beam domain adaptive conformal system under main lobe interference shown includes a frequency coupling identification module, an energy decomposition indication module, a weighted delay adjustment module, an energy rearrangement and repositioning module, and a phase dynamic control module. The frequency coupling identification module collects the real-time energy change sequence of the target signal and the interference signal during the dynamic frequency drift process, expands the frequency components of the target signal and the frequency components of the interference signal under a unified time reference, and establishes the basis for transient identification of frequency coupling. The energy decomposition indicator module, based on the established frequency coupling transient identification foundation, performs fine decomposition on the energy spectrum of the identified overlapping segments, extracts the energy peak distribution of the frequency coupling center, and generates dynamic energy indication results that reflect the degree of interference and encroachment on the target energy. The weighted delay adjustment module, in conjunction with the dynamic energy indication results, performs micro-delay adjustment on the time distribution of the beam weighting coefficients. By adjusting the time response of the beam weighting coefficients, the rhythm of the interference energy change and the rhythm of the target energy response are dynamically staggered on the time axis to form a frequency avoidance rhythm. The energy rearrangement module, based on the frequency avoidance rhythm, performs time rearrangement of the energy response within the main lobe range of the antenna, and repositions the target energy covered by interference according to the time interval, restoring the energy concentration and directional consistency of the main lobe. The phase dynamic control module, combined with the recovered main lobe energy concentration, performs dynamic phase control on the beam pointing and corrects the phase shift generated during frequency avoidance based on the energy repositioning result.

[0050] The radar antenna beam domain adaptive conformal method under main lobe interference provided in this embodiment of the invention is implemented by the radar antenna beam domain adaptive conformal system under main lobe interference described above. For details of the specific method and process of the radar antenna beam domain adaptive conformal system under main lobe interference, please refer to the embodiment of the radar antenna beam domain adaptive conformal method under main lobe interference described above, which will not be repeated here.

[0051] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. An adaptive conformal method for radar antenna beam domain under main lobe interference, characterized in that, Includes the following steps: Step 1: Collect the real-time energy change sequence of the target signal and the interference signal during the dynamic frequency drift process, expand the frequency components of the target signal and the frequency components of the interference signal under a unified time reference, and establish the basis for transient identification of frequency coupling. Step 2: Based on the established frequency coupling transient identification foundation, perform fine decomposition on the energy spectrum of the identified overlapping sections, extract the energy peak distribution of the frequency coupling center, and generate dynamic energy indication results that reflect the degree of interference and encroachment on the target energy. Step 3: Based on the dynamic energy indication results, the time distribution of the beam weighting coefficients is adjusted by a slight delay. By adjusting the time response of the beam weighting coefficients, the rhythm of the interference energy change and the rhythm of the target energy response are dynamically staggered on the time axis to form a frequency avoidance rhythm. Step 4: Based on the established frequency avoidance rhythm, the energy response within the antenna main lobe range is time-rearranged, and the target energy covered by the interference is returned to its original position according to the time interval, restoring the energy concentration and directional consistency of the main lobe. Step 5: Based on the recovered main lobe energy concentration, implement dynamic phase control of the beam direction and correct the phase shift generated during frequency avoidance according to the energy repositioning result.

2. The adaptive conformal method for radar antenna beam domain under main lobe interference as described in claim 1, characterized in that, The steps for acquiring the real-time energy change sequence of the target signal and interference signal during dynamic frequency drift include: In a dynamic frequency drift environment where the target signal and the interference signal work together, real-time acquisition of signal energy is performed. By continuously recording the echo energy intensity and corresponding frequency distribution of the target signal at each time point, and simultaneously recording the frequency shift trajectory and energy intensity change of the interference signal over time, a time-continuous energy change sequence is formed. The frequency components of the target signal and the interference signal are expanded onto a unified time reference. Within the same time reference frame, the energy changes of the target signal and the energy changes of the interference signal are synchronously mapped to establish the correspondence of energy distribution in the time domain. Based on the time-continuous energy distribution, the region where the energy peaks of the target signal and the interference signal intersect on the time axis is determined, the transient time range of frequency coupling is defined, and the start and end times of coupling are recorded to form a transient coupling time window; The start and end positions of the coupling phase are marked on the time axis based on the transient coupling time window, forming a time reference sequence that includes the independent phase, coupling phase, and separation phase of the target signal.

3. The adaptive conformal method for radar antenna beam domain under main lobe interference as described in claim 1, characterized in that, The steps for performing fine decomposition of the energy spectrum of the identified overlapping regions include: Based on the time reference, the frequency coupling relationship between the target signal and the interference signal under a unified time base is located. By segmenting and calibrating the coupling start time, peak time and end time, the corresponding overlapping segment range on the time axis is determined, and the frequency interval of energy crossing is marked by combining the real-time energy change sequence. Within the overlapping section, guided by time reference, the energy superposition relationship between the target signal and the interference signal is analyzed point by point, and the total energy spectrum is divided into the target energy part, the interference energy part and the coupling energy part; In the decomposed energy spectrum, the peak positions and amplitudes of the target signal and the interference signal at the frequency coupling center are determined, the energy change curve of the target signal is obtained, and the energy peak distribution is extracted. Based on the energy peak distribution at the frequency coupling center, a dynamic energy indication result reflecting the degree of interference and encroachment on the target signal energy is generated, and the correspondence between time and energy is used as the energy basis for adjusting the time distribution of the beam weighting coefficient.

4. The adaptive conformal method for radar antenna beam domain under main lobe interference as described in claim 3, characterized in that, The dynamic energy indication results form an energy change curve by continuously arranging the time series of energy peak distribution at the frequency coupling center. The time correspondence between the target signal energy and the interference signal energy is used to determine the duration and amplitude of energy encroachment. The resulting time and energy dual-variable correspondence set serves as the input basis for adjusting the time distribution of beam weighting coefficients.

5. The adaptive conformal method for radar antenna beam domain under main lobe interference according to claim 3, characterized in that, The steps for applying micro-delay adjustment to the time distribution of beam weighting coefficients include: Based on the correspondence between the target signal energy and the interference signal energy over time reflected in the dynamic energy indication results, the time response characteristics of the beam weighting coefficients are obtained, and the time correspondence between the weighting coefficients and the target energy is determined. By combining the overlap time of the target signal energy decline segment and the interference energy rise segment in the dynamic energy indication results, a time offset is introduced in the interference energy peak interval, so that the response timing of the beam weighting coefficients produces a controllable delay relative to the target energy response rhythm, forming a time difference basis; Based on the rhythm of interference energy change in the dynamic energy indication results, dynamic stagger control is implemented on the time distribution of beam weighting coefficients so that the beam energy response avoids the moment when the interference energy peak occurs. By correlating the beam weighting coefficient time response adjustment results with the dynamic energy indication results, an alternating distribution pattern of target signal energy and interference energy is formed on the time axis, establishing a frequency avoidance rhythm and using it as the basis for the time interval of energy rearrangement.

6. The adaptive conformal method for radar antenna beam domain under main lobe interference according to claim 5, characterized in that, During the time response adjustment of the beam weighting coefficients, the time offset amplitude within the peak interference energy range is adaptively determined based on the target signal energy decay rate in the dynamic energy indication result, and the original weighted response timing is synchronously restored during the interference energy decay phase.

7. The adaptive conformal method for radar antenna beam domain under main lobe interference according to claim 5, characterized in that, The steps for performing time rearrangement of the energy response within the main lobe range of the antenna include: Based on the time response distribution of the beam weighting coefficients and the dynamic energy indication results, the energy interval within the antenna main lobe range is calibrated, the energy change pattern of each time period in the frequency avoidance rhythm is analyzed, and an energy allocation framework is established based on the time interval. Based on the energy interval division results, target signal energy data of the interference coverage phase is extracted, and the degree of suppression of target signal energy is identified by the time correspondence between target signal energy and interference signal energy. The weakened energy components are extracted and the time continuity is maintained. Based on the time intervals formed in the frequency avoidance rhythm, the target signal energy in the interference coverage phase is rearranged along the time axis to the interference energy decay phase; The energy response within the main lobe is restored as a whole, and the energy concentration and directional consistency of the main lobe are re-established by fusing the energy of the target signal that has been returned to its original position with the energy that has not been affected by interference.

8. The adaptive conformal method for radar antenna beam domain under main lobe interference according to claim 7, characterized in that, During the time rearrangement process, the return and adjustment of the target signal energy is based on the time interval in the frequency avoidance rhythm. The main lobe energy is continuously restored by rearranging the target signal energy during the interference energy attenuation stage, and the main lobe direction is synchronously corrected based on the dynamic energy indication results during energy fusion.

9. The adaptive conformal method for radar antenna beam domain under main lobe interference according to claim 7, characterized in that, The steps for implementing dynamic phase control of beam pointing include: After the main lobe energy concentration is restored, the phase shift generated by the beam during the energy repositioning stage is detected. By comparing the time series of the main lobe energy distribution before and after energy repositioning, the shift trend of the phase center on the time axis is determined and the direction of phase change is marked. Based on the energy repositioning results, the phase error distribution characteristics are identified. By analyzing the correspondence between the target signal energy center and the beam main lobe direction, the coupling characteristics of the phase error in the spatial and temporal domains are determined, and the phase shift direction and degree are identified. Based on the phase error identification results, dynamic phase control is implemented on the beam pointing. With the main lobe energy concentration distribution center as the target, the phase lag introduced by the delay is partially repaired by synchronously adjusting the phase of the beam weighting coefficient. The beam, after phase modulation correction, is kept stable by continuously fine-tuning the beam pointing to maintain the main lobe center consistent with the peak energy of the target signal.

10. A radar antenna beam domain adaptive conformal system under main lobe interference, used to implement the radar antenna beam domain adaptive conformal method under main lobe interference as described in any one of claims 1-9, characterized in that, It includes a frequency coupling identification module, an energy decomposition indication module, a weighted delay adjustment module, an energy rearrangement and repositioning module, and a phase dynamic control module; The frequency coupling identification module collects the real-time energy change sequence of the target signal and the interference signal during the dynamic frequency drift process, expands the frequency components of the target signal and the frequency components of the interference signal under a unified time reference, and establishes the basis for transient identification of frequency coupling. The energy decomposition indicator module, based on the established frequency coupling transient identification foundation, performs fine decomposition on the energy spectrum of the identified overlapping segments, extracts the energy peak distribution of the frequency coupling center, and generates dynamic energy indication results that reflect the degree of interference and encroachment on the target energy. The weighted delay adjustment module, in conjunction with the dynamic energy indication results, performs micro-delay adjustment on the time distribution of the beam weighting coefficients. By adjusting the time response of the beam weighting coefficients, the rhythm of the interference energy change and the rhythm of the target energy response are dynamically staggered on the time axis to form a frequency avoidance rhythm. The energy rearrangement module, based on the frequency avoidance rhythm, performs time rearrangement of the energy response within the main lobe range of the antenna, and repositions the target energy covered by interference according to the time interval, restoring the energy concentration and directional consistency of the main lobe. The phase dynamic control module, combined with the recovered main lobe energy concentration, performs dynamic phase control on the beam pointing and corrects the phase shift generated during frequency avoidance based on the energy repositioning result.

Images