Multi-band satellite television adjusting method and antenna based on phased array technology

Abstract

The invention discloses a multi-band satellite television adjusting method based on a phased array technology and an antenna, and relates to the technical field of communication, and the method comprises the steps: monitoring the state information of a satellite in real time, and predicting the signal path characteristics of a multi-band satellite in combination with preset satellite in-orbit information; based on the signal path characteristics, optimizing a scanning scheme of a satellite, positioning a scanning area and scanning parameters of the phased array antenna, and establishing an electronic scanning path of the scanning area; tracking the signal quality information of task scheduling, and adaptively adjusting the scanning and tracking task execution proportion of the phased array antenna according to the signal quality information; and according to the scanning area, the scanning parameters, the electronic scanning path and the task execution proportion, carrying out control scanning on the electronic beam, so as to solve the technical problems of unstable connection quality, high power consumption and large delay caused by signal path change, interference and frequent connection switching, and achieve the purposes of efficient connection switching and link aggregation and high efficiency. The power consumption and delay are reduced, and the connection quality is improved.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a multi-band satellite TV adjustment method and antenna based on phased array technology. Background Art

[0002] With the rapid development of satellite communication technology, multi-band satellite TV services have become an important part of the modern communication field. Traditional satellite TV reception systems usually use mechanical parabolic antennas to receive signals from different satellites by physically adjusting the direction of the antenna. However, this mechanical antenna has many limitations, such as slow adjustment speed, low accuracy, susceptibility to environmental influences (such as wind, rain, etc.), and difficulty in receiving signals from multiple satellites at the same time. In addition, with the increase in the number of satellites and the diversification of frequency bands, traditional antennas are less efficient in receiving and switching multi-band signals, making it difficult to meet users' demand for high-quality, low-latency TV services.

[0003] Phased array technology is an advanced electronic scanning technology that can achieve fast and precise pointing adjustment of electronic beams by controlling the phase and amplitude of each antenna unit in the array without mechanical movement. This technology has the characteristics of high flexibility, high reliability and low latency, and is particularly suitable for receiving and switching multi-band satellite signals. However, existing phased array antennas still face some challenges in multi-band satellite TV applications. For example, during the in-orbit operation of the satellite, the signal path will dynamically change due to factors such as the satellite position, the rotation of the earth, and atmospheric interference, resulting in fluctuations in signal quality; there is interference between signals in different frequency bands, affecting the reception effect. These challenges will result in high power consumption and large latency when switching high frequency bands and aggregating multiple links, making it difficult to meet real-time requirements. Summary of the invention

[0004] The present application solves the technical problems of unstable connection quality, high power consumption and large delay caused by signal path changes, interference and frequent connection switching during the reception of multi-band satellite TV signals by providing a multi-band satellite TV adjustment method and antenna based on phased array technology.

[0005] The present application provides a multi-band satellite TV adjustment method based on phased array technology, the method comprising: real-time monitoring of satellite status information, combining with preset satellite on-orbit information, predicting signal path characteristics of multi-band satellites; optimizing the scanning scheme of satellites of each frequency band based on the signal path characteristics of the multi-band satellites, locating the scanning area and scanning parameters of the phased array antenna, and establishing an electronic scanning path of the scanning area; tracking signal quality information of task scheduling, and adaptively adjusting the scanning and tracking task execution ratio of the phased array antenna according to the signal quality information; and controlling the scanning of the electronic beam according to the scanning area and scanning parameters of the phased array antenna, the electronic scanning path, and the scanning and tracking task execution ratio.

[0006] The present application also provides a multi-band satellite TV adjustment antenna based on phased array technology, the antenna comprising: a signal path feature prediction component: real-time monitoring of satellite status information, combined with preset satellite on-orbit information, predicting the signal path characteristics of multi-band satellites; an electronic scanning path establishment component: based on the signal path characteristics of the multi-band satellite, optimizing the scanning scheme of satellites in each band, locating the scanning area and scanning parameters of the phased array antenna, and establishing an electronic scanning path for the scanning area; a task adjustment component: tracking the signal quality information of task scheduling, and adaptively adjusting the scanning and tracking task execution ratio of the phased array antenna according to the signal quality information; a control scanning component: controlling the scanning of the electronic beam according to the scanning area and scanning parameters of the phased array antenna, the electronic scanning path, and the scanning and tracking task execution ratio.

[0007] The multi-band satellite TV adjustment method and antenna based on phased array technology proposed in this application, first, monitor the status information of the satellite in real time, combine the preset satellite in-orbit information, and predict the signal path characteristics of the multi-band satellite; then, based on the signal path characteristics of the multi-band satellite, optimize the scanning scheme of each band satellite, locate the scanning area and scanning parameters of the phased array antenna, and establish the electronic scanning path of the scanning area; further, track the signal quality information of the task scheduling, and adaptively adjust the scanning and tracking task execution ratio of the phased array antenna according to the signal quality information; finally, control the scanning of the electronic beam according to the scanning area and scanning parameters, electronic scanning path, and scanning and tracking task execution ratio of the phased array antenna. The technical problems of unstable connection quality, high power consumption, and large delay caused by signal path changes, interference, and frequent connection switching during the reception of multi-band satellite TV signals are solved, and the technical effects of realizing efficient connection switching and link aggregation, reducing power consumption and delay, and improving connection quality by dynamically optimizing the scanning parameters and paths of the phased array antenna and adaptively adjusting the scanning and tracking task ratio are achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the following is a brief introduction to the drawings of the embodiment of the present disclosure. A flow chart is used in the present application to illustrate the operations performed by the antenna according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0009] Figure 1 A schematic flow chart of a multi-band satellite TV adjustment method based on phased array technology provided in an embodiment of the present application.

[0010] Figure 2 A schematic diagram of the structure of a multi-band satellite TV adjustment antenna based on phased array technology provided in an embodiment of the present application.

[0011] Explanation of the reference numerals: signal path characteristic prediction component 11 , electronic scanning path establishment component 12 , task adjustment component 13 , control scanning component 14 . DETAILED DESCRIPTION

[0012] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0013] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0014] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, antenna, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0015] The present application embodiment provides a multi-band satellite TV adjustment method based on phased array technology, such as Figure 1 As shown, the method includes: Monitor satellite status information in real time, combine it with preset satellite in-orbit information, and predict signal path characteristics of multi-band satellites.

[0016] In an embodiment of the present application, firstly, by establishing a connection with a satellite tracking system, a ground receiver or a communication receiver, a radio spectrum monitoring device, etc., the real-time status of the multi-band satellite is continuously tracked, and key data such as the satellite's position and signal strength are collected. At the same time, using pre-stored satellite in-orbit data, such as the satellite's orbital altitude and inclination, combined with the position relationship of the target TV receiving end, a mathematical model is used to predict the satellite's position change and signal transmission path in the future, and obtain the signal path characteristics of the multi-band satellite, such as signal attenuation and delay, so as to identify possible signal interruption, interference or attenuation areas in advance. These prediction information can help to perform more accurate scheduling and optimization in multi-band satellite communications, improve the stability and quality of signal reception, and effectively respond to the challenges brought by satellite position changes and external environmental interference.

[0017] Furthermore, the present application provides real-time monitoring of satellite status information, combined with preset satellite on-orbit information, to predict the signal path characteristics of multi-band satellites, including: Collect satellite status information in real time, including satellite position, signal strength, frequency band occupancy, and Doppler frequency shift data; obtain preset satellite on-orbit information based on a preset satellite orbit database; predict the change in the satellite status information based on the position relationship of the target TV and the preset satellite on-orbit information to obtain the signal path characteristics.

[0018] Preferably, the satellite status information collected in real time includes satellite position, signal strength, frequency band occupancy, Doppler frequency shift data, etc., wherein the satellite position is obtained through a satellite tracking system and is the precise position of the satellite at a specific moment; the signal strength is measured in real time by a ground receiver or a communication receiver to evaluate signal attenuation and communication quality; the frequency band occupancy is obtained by monitoring the frequency band used by a radio spectrum monitoring device to determine whether the frequency band is interfered with by other satellites or communication systems; the Doppler frequency shift data is obtained by monitoring using a spectrum analysis device to help adjust the receiving frequency and compensate for the frequency change caused by the satellite movement. Subsequently, a pre-configured satellite orbit database is read, which contains the orbital parameters of the target satellite, such as orbital type (geosynchronous orbit, low earth orbit, etc.), orbital altitude, inclination, operating cycle, ascending node right ascension, etc., and the orbital parameters of the preset satellite are extracted from the satellite orbit database as the preset satellite on-orbit information according to the identification of the target satellite (such as the satellite number or name). Afterwards, based on the preset satellite in-orbit information, the satellite's position and status information in the future is predicted, such as possible signal attenuation, path obstruction, etc. The prediction result is then combined with the position relationship of the target TV to predict the transmission change of the satellite's status information. The predicted change is used as the signal path feature, such as signal attenuation characteristics, transmission delay, etc. These features will serve as the basis for subsequent optimization of the phased array antenna scanning parameters and paths, thereby ensuring the stability and efficiency of satellite communications.

[0019] Furthermore, the present application provides a method for predicting the change amount of the state information of the satellite according to the position relationship of the target TV and the preset satellite on-orbit information to obtain the signal path characteristics, including: Based on the preset satellite in-orbit information, the satellite orbit parameters and position information are determined, the position and status information of the satellite in the future are predicted, and the satellite prediction information is obtained; based on the positional relationship between the satellite prediction information and the target TV, the signal scanning path is identified; based on the transmission characteristics of the signal scanning path, the transmission change of the satellite status information is predicted to obtain the signal path characteristics.

[0020] Optionally, by querying the preset satellite orbit database, the orbit parameters of the satellite (such as orbit altitude, orbit inclination, orbit period, etc.) are obtained. These parameters define the motion trajectory of the satellite and the specific position on the orbit. This satellite orbit database will be updated in real time and continuously synchronize the on-orbit information of the preset satellite. Subsequently, the orbital mechanics model (such as Kepler's orbit equation) and the preset orbital parameters are used to calculate the predicted position of the satellite in the future. For example, for geosynchronous satellites, their positions are relatively fixed and the prediction results are relatively simple. For low-earth orbit satellites, due to their fast running speed and short orbital period, the predicted position needs to be updated in real time. For the orbital mechanics model, it is constructed based on Kepler's three laws. Its processing process includes calculating the mean anomaly angle, calculating the eccentric anomaly angle, calculating the true anomaly angle, calculating the position of the satellite in the orbital plane, converting to the geocentric inertial coordinate system, etc. In addition, combined with the current status information of the preset satellite, such as signal strength, frequency band occupancy, etc., the state information of the preset satellite is predicted using the pre-built dynamic state prediction model, and then the predicted state information and position information are combined and stored in a set to form satellite prediction information. For the dynamic state prediction model, it can be built based on the long short-term memory network (LSTM). During the construction, the historical state information of the same type of satellites in similar orbits will be collected through networking, and part of this historical state information will be used as training data and input into the dynamic state prediction model including the input layer, LSTM layer, fully connected layer, and output layer. By repeating the steps of forward propagation, loss calculation (mean square error loss function), back propagation, parameter optimization (Adam optimizer), etc., the model performance is gradually optimized until the maximum number of iterations is reached or the model converges. After the training is completed, the data not used for training is used as a validation set to perform performance testing on the model to evaluate the accuracy and robustness of the model in the dynamic state prediction task. If the model accuracy meets the expected goal, the current dynamic state prediction model is output. Otherwise, the hyperparameters such as the learning rate and the number of training batches are adjusted, and the training continues to improve the performance of the model. After that, the location of the target TV is obtained. The location of the target TV can be static, such as fixed at a certain location, or dynamic, such as installed on an RV or other mobile carrier. The dynamic location needs to consider the changes in satellite signals during movement. When the target TV is in a static position, the real-time position information (such as longitude, latitude, and altitude) of the target TV is collected through GPS or other positioning systems at a fixed period, and the geometric relationship between the satellite and the target TV is calculated in combination with the satellite prediction information, including distance, elevation, and azimuth. When the target TV is in a dynamic position, the coordinate information of the target TV is collected in real time through GPS or other positioning systems. By real-time tracking of the position change of the target TV and combining the predicted position of the satellite, the relative position change between the TV receiving end and the satellite can be determined. By summarizing these position changes, the scanning path of the signal can be drawn.Then, the transmission feature prediction model is activated. This transmission feature prediction model is obtained by training the multilayer perceptron based on the transmission features of multiple historical signal scanning paths (such as signal strength, signal delay), multiple historical satellite status information and multiple historical signal transmission features (such as signal strength change, signal delay change, frequency band occupancy change). The training process is the same as the above, and is carried out through forward propagation, loss calculation, back propagation, parameter optimization and other steps. Finally, the transmission features of the identified signal scanning path and the satellite status information are input into the activated transmission feature prediction model. The transmission feature prediction model predicts the transmission change of the corresponding satellite status information according to the learned mapping relationship, which includes the change of signal strength, the change of signal delay, the change of frequency band occupancy, the adjustment of Doppler frequency shift, etc. Through these predictions, possible signal quality problems can be foreseen, and measures can be taken in time to compensate and optimize. In summary, this process involves dynamic interaction between the satellite and the target TV. Through real-time monitoring and prediction, the changes in the signal path can be accurately calculated, and corresponding optimization measures can be taken to ensure the stable transmission of satellite TV signals.

[0021] Exemplarily, during the driving process of the RV, the status information of the target satellites (Asia-9 and ChinaSat-6B) is collected every 100 milliseconds through real-time monitoring, including signal strength (SNR), frequency band occupancy rate and Doppler frequency shift data. For example, the current monitoring data shows that the Ku-band signal strength of Asia-9 drops by 15dB, while the C-band signal strength of ChinaSat-6B remains stable. At the same time, the real-time position (longitude, latitude, altitude) and movement trajectory of the RV are obtained through the GPS positioning module to provide basic data for subsequent predictions. Subsequently, the orbital parameters of Asia-9 and ChinaSat-6B are extracted from the preset satellite orbit database. Both Asia-9 and ChinaSat-6B are located in geosynchronous orbits with an orbital altitude of 35,786 kilometers, an inclination of 0°, and an orbital period of 24 hours. Based on these orbital parameters, an orbital mechanics model is constructed, and the Kepler orbital equation is used to calculate the predicted position of the satellite in the future. In this process, the change of the mean anomaly in the next 10 seconds is calculated based on the satellite's orbital period and the current time. The Kepler equation is then solved using the Newton iteration method to obtain the eccentric anomaly. The true anomaly is then calculated based on the eccentric anomaly, and the distance from the satellite to the center of the earth is calculated using the polar coordinate formula. The satellite's position in the orbital plane is then converted to the geocentric inertial coordinate system (ECI coordinate system) to obtain the satellite's three-dimensional coordinates. Based on the calculation results of the orbital mechanics model, the position changes of Asia 9 and ChinaSat 6B in the next 10 seconds are predicted. For example, the longitude of Asia 9 will change from 100.5°E to 100.52°E, and the latitude and altitude will remain unchanged; the position change of ChinaSat 6B is small. Combined with the dynamic position relationship of the RV, the signal path characteristics are further analyzed. For example, the RV is currently located in the mountains, with GPS coordinates (30.5°N, 105.2°E) and an altitude of 800 meters. According to the predicted position of Asia 9 and the position of the RV, it is judged that the signal path of Asia 9 will be blocked by the mountain in the next 10 seconds, resulting in signal loss; while the signal path of ChinaSat 6B is not blocked, and the signal transmission remains stable. Finally, the prediction results are integrated into the signal path characteristics, including that the signal strength of Asia 9 will drop to an unusable level, the delay will increase, and the Doppler shift will be significant; the signal strength of ChinaSat 6B is stable, and the delay and Doppler shift change slightly. These prediction results provide an important basis for subsequent satellite switching and parameter optimization, ensuring that the RV can achieve efficient multi-band satellite signal reception and switching while driving in mountainous areas.

[0022] Based on the signal path characteristics of the multi-band satellite, the scanning scheme of the satellites in each frequency band is optimized, the scanning area and scanning parameters of the phased array antenna are located, and the electronic scanning path of the scanning area is established.

[0023] In one embodiment, after obtaining the signal path characteristics of the multi-band satellite, the abnormal scanning characteristics are identified according to the signal path characteristics of the multi-band satellite. These abnormal characteristics may include a sudden attenuation of signal strength, a significant increase in transmission delay, etc. For example, when a certain frequency band signal is detected to drop sharply due to mountain occlusion, it will be marked as an abnormal scanning feature. Subsequently, with the goal of maximizing the difference compensation amount of the abnormal scanning feature, the scanning scheme is searched and optimized in combination with the positioning information of the phased array antenna and the signal path characteristics of the multi-band satellite. The phased array antenna is an antenna system that realizes beam control by controlling the phase difference of multiple antenna units. Its basic structure is usually composed of multiple antenna units (also called subarrays). These units are arranged in a plane or three-dimensional structure according to certain rules. Each antenna unit can independently transmit or receive electromagnetic wave signals. The key to the phased array antenna is to accurately adjust the radiation direction of each antenna unit by electronically controlling the phase of the signal, thereby realizing the adjustment of the beam direction without physically rotating the antenna. These antenna elements are usually composed of microstrip antennas, waveguides or other types of antennas, and are connected by a feed network that controls the direction of the beam by adjusting the signal phase of each element. The antenna array can be a linear arrangement, a planar array, or a more complex three-dimensional array, depending on the application requirements. In a phased array antenna, control signals are generated by a digital signal processing unit, which can adjust the phase of the antenna element in real time so that the beam points in a specific direction for precise signal scanning and tracking. Phased array antennas have the advantage of not having to physically rotate the antenna and can change the beam direction quickly and flexibly. When searching and optimizing the scanning scheme, the adjustable parameter range of the phased array antenna, including scanning angle, scanning speed, dwell time, etc., will be analyzed, and these parameters will be dynamically adjusted according to the difference compensation requirements of abnormal scanning characteristics. For example, when it is detected that the signal of a certain frequency band is attenuated due to occlusion, the scanning angle will be expanded or the dwell time will be increased to maximize the difference compensation amount to ensure that the signal can be effectively captured. After determining the scanning area and scanning parameters, an electronic scanning path will be established based on the scanning area of ​​the phased array antenna and the scanning correspondence of the multi-band satellite. This path planning process not only takes into account the signal coverage range, but also combines the changing trend of signal quality. Through the above process, it is possible to optimize the scanning plan, locate the scanning area and parameters, and establish an efficient electronic scanning path based on the signal path characteristics of the multi-band satellite, thereby improving the stability and quality of multi-band satellite TV services.

[0024] Furthermore, the present application provides a method for optimizing the scanning scheme of satellites of each frequency band based on the signal path characteristics of the multi-band satellite, locating the scanning area and scanning parameters of the phased array antenna, and establishing an electronic scanning path of the scanning area, including: According to the signal path characteristics of the multi-band satellite, abnormal scanning characteristics are identified; with the goal of maximizing the difference compensation amount of the abnormal scanning characteristics, a scanning scheme search is performed according to the positioning information of the phased array antenna and the signal path characteristics of the multi-band satellite to obtain the scanning area and scanning parameters of the phased array antenna; according to the corresponding relationship between the scanning area of ​​the phased array antenna and the scanning of the multi-band satellite, an electronic scanning path of the scanning area is established.

[0025] Optionally, after obtaining the signal path characteristics of the multi-band satellite, these signal path characteristics will be monitored and analyzed in real time through signal processing algorithms in order to identify abnormal changes that may occur in the signal path. The identification process of abnormal scanning characteristics mainly relies on signal processing technology. For example, on the path of satellite signal propagation, certain ground objects (such as buildings, mountains, etc.) may cause signal reflection. The reflected signal will be superimposed on the original signal, resulting in distortion of the received signal. The signal delay and amplitude are compared through the time domain reflection analysis method to determine whether there is a reflection phenomenon. When abnormal fluctuations in the delay or intensity of the received signal are detected, it will be identified as an abnormal feature of signal reflection. When the signal passes through the atmosphere, it may be refracted by factors such as temperature and humidity, changing the propagation path and causing changes in the angle and intensity of the signal. , the refraction effect can be judged by the difference between multi-band signals through the frequency domain analysis method, because the refraction degree of signals in different frequency bands is different. By comparing the propagation characteristics of signals in different frequency bands, whether there is a refraction phenomenon can be identified, thereby determining the abnormal characteristics; the multipath effect refers to the fact that during the propagation of the signal, due to the reflection or scattering of the ground or other objects, multiple propagation paths are generated, and finally the receiving end receives multiple signals. These signals may cause phase and amplitude changes due to different paths, thereby causing signal distortion. The received multi-band signals are analyzed in the time domain or frequency domain through the multipath interference suppression algorithm to detect whether there is a multipath effect. The multipath effect will cause signal attenuation, delay spread and signal interference. Therefore, by analyzing the phase change and time delay of the signal, it can be determined whether there is multipath interference, thereby determining the abnormal characteristics. By summarizing all the abnormal characteristics obtained, an abnormal scanning feature is generated. Subsequently, the optimization goal is to maximize the difference compensation amount of the abnormal scanning feature, which means that the impact caused by abnormal changes (such as signal loss or attenuation) will be minimized to ensure the stability of the signal. To this end, the positioning information of the phased array antenna (such as the current azimuth and elevation angle of the antenna) and the signal path characteristics of the satellite are combined to calculate the optimal scanning scheme, which includes the selection of the scanning area and the determination of the scanning parameters. Specifically, the antenna scanning angle, speed, width and other parameters are adjusted according to the propagation characteristics of the satellite signal and the abnormal detection results to ensure that the environment can be responded to in real time and stable signal reception can be maintained. Finally, based on the correspondence between the scanning area of ​​the phased array antenna and the satellite signal path, the scanning parameters, scanning area, and satellite signal path are matched to establish an electronic scanning path. The electronic scanning path is achieved by precisely controlling the phase difference of each unit of the phased array antenna, which ensures the precise adjustment of the beam direction and avoids the time and space loss caused by physically rotating the antenna. Through this process, the scanning area can be flexibly adjusted in a dynamic environment, efficient signal tracking and optimization can be achieved, and the stability and reliability of satellite communications can be improved.In summary, this process ensures that the phased array antenna can provide precise beam pointing and stable signal transmission in complex communication environments by identifying abnormal features in the signal path in real time and adopting an optimization strategy to maximize compensation.

[0026] Furthermore, the present application provides a method for searching a scanning scheme based on the positioning information of the phased array antenna and the signal path characteristics of the multi-band satellite with the goal of maximizing the difference compensation amount of the abnormal scanning characteristics, including: Obtain an adjustable parameter range of the phased array antenna, where the adjustable parameters include a scanning angle, a scanning speed, and a dwell time; perform difference compensation according to the abnormal scanning characteristics to obtain a difference compensation amount, and perform compensation analysis through the adjustable parameter range according to the original scanning path and the difference compensation amount as a target to obtain compensation parameters and compensation amounts; determine whether the compensation parameters and compensation amounts meet the compensation parameter and compensation amount requirements in the difference compensation amount; if not, perform compensation matching according to the difference compensation amount and the signal path characteristics of the multi-band satellite, and perform abnormal compensation amount maximization target search through the adjustable parameter range until a scanning scheme that meets the requirements is obtained.

[0027] Optionally, when searching for scanning solutions, it is necessary to first obtain the adjustable parameter range of the phased array antenna, which includes the scanning angle (such as the azimuth range of 0°-360°, the pitch angle range of 0°-90°), the scanning speed (such as the scanning angle range of 1°-10° per second), the dwell time (such as the dwell time range of 10ms-100ms for each scanning area), etc. Subsequently, based on the identified abnormal scanning features, the parameters and compensation amounts to be compensated are calculated. For example, when the signal strength drops by 20dB, the difference compensation amount is 20dB. After identifying the anomaly and calculating the compensation amount, it will be applied to the original scanning path. In this process, the value of the adjustable parameter will be determined based on the compensation amount. When there is a multipath effect in the signal path, the source azimuth of the multipath signal is identified through signal processing algorithms (such as direction of arrival estimation, DOA), and the difference between the source azimuth and the original scanning angle is calculated to obtain the scanning angle that needs to be adjusted. In addition, the delay time of the multipath signal is measured, and the delay time of the multipath signal is subtracted from the delay time of the direct signal to obtain the residence time that needs to be adjusted; when the signal is attenuated due to obstruction, the azimuth of the obstruction is identified through the geographic information system (GIS) and GPS positioning, and the azimuth of the obstruction is subtracted from the original scanning angle to obtain the scanning angle that needs to be adjusted. In addition, the attenuation degree of the signal strength is measured, and the residence time that needs to be adjusted is obtained by multiplying the attenuation value of the signal strength with the compensation coefficient (such as 1ms / dB). After. By adjusting the adjustable parameters (such as scanning angle, scanning speed, dwell time, etc.) to correct the abnormal influence, and then through actual simulation, determine the specific compensation parameters and compensation amount. For example, adjusting the scanning angle to 30° can compensate for 10dB signal loss, and increasing the dwell time to 500ms can compensate for 5dB signal loss. Then, evaluate whether the adjusted compensation parameters and compensation amount meet the requirements of the difference compensation amount. When the compensation parameters and compensation amount do not meet the requirements of the compensation parameters and compensation amount in the difference compensation amount, further compensation matching will be performed based on the difference compensation amount and the satellite signal path characteristics, and the maximum target search for the compensation amount will be performed by adjusting the adjustable parameter range. In this way, the scanning path and compensation parameters can be optimized to ensure that the signal quality reaches the best state. In summary, this process involves compensating for the identified abnormal scanning features through simulation and analysis, dynamically adjusting the scanning parameters of the phased array antenna, ensuring that the reception of satellite signals is not interfered by the environment, and achieving the best signal transmission effect.

[0028] For example, during the driving of the RV, the satellite status monitoring module collects signal strength data in real time, and finds that the Ku-band signal drops by 15dB due to mountain obstruction, while the C-band signal remains stable. Combining GPS positioning and preset orbit data, it is predicted that Asia 9 (Ku-band) will completely lose the signal due to mountain obstruction in the next 10 seconds. To this end, the emergency switching strategy is initiated, and Ka-band resources are allocated to scan ChinaSat 6B, while the C-band is kept as a backup to ensure the continuity of signal switching. For example, the Ka-band is used for main signal reception and the C-band is used for backup signal reception to cope with sudden signal loss. Because the RV is bumpy when driving in the mountains, the beam width is switched from 2° (fine scan) to 5° (wide scan) to compensate for the pointing error caused by vehicle bumps. The wide scan mode can cover a larger area and reduce signal loss caused by vehicle bumps. At the same time, FPGA is used to calculate the weight vector of the beamforming network to generate two independent beams: Beam 1 points to ChinaSat 6B, with an azimuth of 120° and an elevation of 45°; Beam 2 continuously scans the residual area of ​​AsiaSat 9 signal, with an azimuth of 95°-105° and an elevation of 40°-50°. By dynamically adjusting the beam pointing, the stable reception of ChinaSat 6B signal is ensured. For example, when the position of the RV changes, the azimuth and elevation of Beam 1 are adjusted in real time to ensure that the signal is always aimed at ChinaSat 6B. While optimizing the beam pointing, compensation is also made for abnormal features in the signal path. For example, when the multipath effect is detected to cause the signal quality to deteriorate, the scanning angle is adjusted from 120° to 125°, and the dwell time is increased from 50ms to 70ms to reduce the impact of the multipath effect; when the mountain occlusion causes the Ku-band signal to attenuate, the scanning angle is adjusted from 95° to 100°, and the dwell time is increased from 60ms to 80ms to compensate for the signal loss. By dynamically adjusting the scanning parameters, it can effectively deal with signal interference and attenuation problems in complex environments. In addition, according to real-time signal quality information, the beam pointing and scanning parameters are dynamically adjusted. For example, when the signal quality of ChinaSat 6B is detected to be degraded, the direction of beam 1 is quickly adjusted to ensure signal stability. At the same time, through multi-band collaborative optimization, efficient signal reception can be achieved in complex environments. For example, when the Ka-band signal is affected by rain attenuation, it automatically switches to the C-band and increases the transmission power by 3dB to maintain signal quality.

[0029] Furthermore, the present application provides a method for performing compensation matching based on the difference compensation amount and the signal path characteristics of the multi-band satellite, and performing target search for maximizing the abnormal compensation amount through the adjustable parameter range, including: The scanning signal target is analyzed according to the difference compensation amount to obtain the switching path signal target feature; the switching path signal target feature is matched with the signal path feature of the multi-band satellite to obtain the matching result of each satellite; the matching result of each satellite is searched with the goal of maximizing the abnormal compensation amount, and when there is a satellite link that meets the requirements, the switching scanning path is determined as the scanning scheme; when there is no satellite link that meets the requirements, multiple satellites are used to perform link aggregation, and a search is performed according to the aggregation matching results of the link aggregation to determine the scanning path corresponding to the link aggregation as the scanning scheme.

[0030] Optionally, since the adjustment of the current scanning path cannot meet the requirement of the difference compensation amount, the scanning signal target analysis will be performed based on the calculated difference compensation amount. In this process, each compensation parameter and the corresponding compensation value will be analyzed from the difference compensation amount, and then all switchable satellites will be traversed to obtain the signal characteristics of each switchable satellite. By calculating the difference between the signal characteristics of each switchable satellite and the characteristics of the original scanning path, it is determined whether it meets the requirement of the difference compensation amount. If it does, the signal characteristics of this switchable satellite are added to the switching path signal target characteristics. After parsing the switching path signal target, these characteristics are matched with the signal path characteristics of the multi-band satellite, and the signal path characteristics are normalized by the maximum and minimum method to make them in the same dimension, and then the matching degree is calculated by the formula. The matching degree of each satellite and each signal path characteristic of the multi-band satellite is obtained, where: is the matching degree of the i-th signal path feature; is the normalized value of the i-th signal path characteristic of a switchable satellite in the switching path signal target characteristic; is the normalized value of the i-th signal path feature of the multi-band satellite. After obtaining the matching degree of each signal path feature, these matching degrees are weighted according to the weights set by the domain experts for each signal path feature to obtain the matching degree of each satellite with the multi-band satellite. After obtaining the matching results of each satellite, the matching results of each satellite are searched, and the matching degree of each satellite is compared with the matching degree lower limit to obtain all switchable satellites that are greater than or equal to the matching degree lower limit. The higher the matching degree, the more suitable the satellite path is for the current signal demand. Subsequently, with the goal of maximizing the amount of abnormal compensation, the best satellite is searched from the screened satellites, and the satellite link of the satellite is obtained. This satellite link will be used as the switching scan path to generate a scan plan. The plan will perform beam adjustment based on the optimized scan area, compensation parameters, etc., to ensure that the signal reception is not interfered. If a link that can meet the requirements of a single satellite cannot be found during the search process, a multi-satellite link aggregation strategy will be used instead. In this case, the signal resources of multiple satellites will be combined through link aggregation, with the goal of maximizing the amount of abnormal compensation and the minimum amount of link aggregation as a constraint. According to the matching of different satellite signals, a link aggregation scanning path that meets the requirements is determined. Based on the matching results of link aggregation, the best scanning path is finally determined. This path may involve the superposition of signals from multiple satellites to ensure that the communication efficiency and stability can be maintained in complex environments (such as signal obstruction, interference, etc.). In summary, the whole process searches for the goal of maximizing the amount of abnormal compensation, combines the matching of the switching path signal goal and the satellite signal path characteristics, and finally determines the appropriate scanning path. When it is impossible to rely on a satellite alone, link aggregation technology is used to fuse the signals of multiple satellites to optimize the scanning path and signal reception quality.

[0031] Furthermore, the present application provides link aggregation using multiple satellites, searching according to the aggregation matching results of the link aggregation, and determining a scanning path corresponding to the link aggregation as the scanning scheme, including: The scanning weights of multiple frequency bands are configured according to the target television demand; the compensation matching tolerance of the multiple frequency bands in the abnormal compensation amount is configured according to the scanning weights of the multiple frequency bands; according to the compensation matching tolerance, a target evaluation function is established with the abnormal compensation amount being maximized as the target; according to the matching results of each satellite, a multi-link aggregation evaluation is performed according to the target evaluation function with the minimum link aggregation amount as a constraint condition, and the link aggregation scanning path with the largest target evaluation result is selected as the scanning plan.

[0032] Optionally, obtain the target TV demand, which refers to the specific communication requirements expected by the target TV device for signal reception, such as signal strength, bandwidth, delay, etc. Based on these requirements, configure the scanning weights of multiple frequency bands, that is, the priorities of different frequency bands (such as C band, Ku band, etc.). These weights reflect the applicability and importance of different frequency bands in specific environments. For example, if the target TV requires a higher bandwidth, the Ku band will be used first. Accordingly, a higher scanning weight will be allocated to the Ku band, and a lower scanning weight will be allocated to other frequency bands (such as the C band). After configuring the scanning weights for each frequency band, the compensation matching tolerance of the abnormal compensation amount will be adjusted based on these weights. The compensation matching tolerance refers to the maximum deviation or error allowed for the signal characteristics of a certain frequency band when adjusting the scanning parameters. For example, if the weight of a certain frequency band is high, it means that the frequency band has a greater impact on the signal quality, and the compensation matching tolerance of the frequency band is allowed to be smaller (such as ±5dB) to ensure the stability of the signal quality. On the contrary, low-weighted frequency bands may have a larger tolerance and allow a higher error range (such as ±10dB). The purpose of this step is to ensure that the compensation amount of different frequency bands can meet the needs of the target TV by dynamically adjusting the tolerance of the frequency band. Subsequently, according to the compensation matching tolerance, the target evaluation function is constructed with the goal of maximizing the abnormal compensation amount. This target evaluation function is used to evaluate the compensation effect of each satellite link, as follows: Among them, F is the target evaluation function value of each scheme; n is the total number of frequency bands participating in link aggregation; is the scanning weight of the i-th frequency band; is the abnormal compensation amount of the i-th frequency band; is the compensation matching tolerance of the i-th frequency band. After that, the links are randomly combined based on the abnormal compensation amount to obtain multiple link aggregation scanning paths, each of which can meet the requirements of the abnormal compensation amount. For example, link aggregation scanning path 1 can be satellite A (C band) and satellite B (Ku band). Then, with the minimum link aggregation amount as the constraint condition, the link aggregation scanning paths are divided according to the size of the link aggregation amount, and the link aggregation scanning paths with the same link aggregation amount are stored in a set. Then, the link aggregation scanning paths in each set are evaluated using the target evaluation function in the order of link aggregation from small to large, and the link aggregation scanning path with the minimum link aggregation amount and the largest target evaluation result in the set is extracted as the scanning plan. The path with the largest target evaluation result means that the path can meet the compensation requirements, optimize the scanning angle, minimize interference, and use the least resources for communication. Through this optimization, the best link aggregation path can be found, and the final scanning plan can be generated for the phased array antenna to ensure signal stability, bandwidth efficiency and communication continuity.

[0033] Furthermore, the present application also includes: The scanning area of ​​the phased array antenna is located according to the scanning scheme, and the central subarray, edge subarray, and idle subarray are identified; the radio frequency switch control strategy of the central subarray, edge subarray, and idle subarray is analyzed according to the target TV demand; and the phased array antenna is partitioned and controlled according to the radio frequency switch control strategy.

[0034] In one embodiment, the scanning area of ​​the phased array antenna is determined according to the scanning scheme. The scanning area is the adjustable coverage of the antenna in space, for example, the main scanning area (azimuth angle 120°-130°, elevation angle 40°-50°), the auxiliary scanning area (azimuth angle 95°-105°, elevation angle 35°-45°). After determining the scanning area, the various areas of the phased array antenna are further divided, including the central subarray, the edge subarray, and the idle subarray, wherein the central subarray is located in the central area of ​​the antenna and is responsible for signal reception in the main scanning area; the edge subarray is located in the edge area of ​​the antenna and is responsible for signal reception in the auxiliary scanning area; the idle subarray refers to the subarray that is not currently involved in signal reception or transmission. These units are usually in a closed state to save energy and reduce unnecessary interference. Subsequently, according to the needs of the target TV (such as signal quality, bandwidth requirements, anti-interference requirements, etc.), it is decided how to control each subarray of the phased array antenna. Since the central subarray is located at the core of the array and is responsible for the most important signal reception task, according to the needs of the target TV, the RF switch of the central subarray is usually kept on to ensure stable signal reception; the edge subarray dynamically adjusts the RF switch state according to the scanning requirements, for example, the edge subarray is turned off in energy-saving mode, and the interfered unit is turned off in anti-interference mode; for idle subarrays, it will decide whether to turn them on or not according to the current needs. Usually, these subarrays will be turned off to avoid wasting energy, but in some special cases (such as the need to expand the signal coverage range), they may be enabled. By summarizing these control methods, the RF switch control strategy is obtained, and then the RF switch control strategy is output to the control system of the phased array antenna for partition control to achieve efficient signal reception and power consumption management. Through the above process, the scanning area can be located according to the scanning scheme, the subarray type can be identified, and the RF switch control strategy can be parsed, so as to realize the partition control of the phased array antenna and improve the stability and energy efficiency of multi-band satellite TV services.

[0035] The signal quality information of the tracking task scheduling is used to adaptively adjust the scanning and tracking task execution ratio of the phased array antenna according to the signal quality information.

[0036] In one embodiment, according to the signal quality information of the tracking task scheduling, the execution ratio of the scanning and tracking tasks of the phased array antenna is dynamically adjusted to ensure the best signal reception effect. In this process, an adjustment response relationship between the execution ratio of the scanning task and the tracking task and the signal quality information is first established. This relationship represents how the change in signal quality affects the execution priority and time allocation of the scanning task and the tracking task. For example, when the signal quality is poor, more computing resources and time will be allocated to the tracking task to ensure that the antenna can accurately align with the target satellite; when the signal quality is good, more time may be allocated to the scanning task to expand the signal reception range. Once this response relationship is established, a proportional response analysis will be performed based on the real-time monitored signal quality information, which means that the current signal quality, such as signal strength, signal stability, delay and other factors, will be evaluated in real time, and then the execution ratio of the scanning and tracking tasks will be dynamically adjusted. When the signal quality deteriorates, the tracking task will obtain a higher execution ratio to ensure that the signal remains stable; when the signal quality is good, more scanning tasks can be executed to expand the reception area. Through this adaptive adjustment, the working state of the phased array antenna can always be optimized to achieve maximum response to signal quality, while avoiding unnecessary waste of resources and ensuring communication stability and efficiency in different working environments.

[0037] Furthermore, the present application provides a method for adaptively adjusting the scanning and tracking task execution ratio of the phased array antenna according to the signal quality information, including: An adjustment response relationship between the scanning and tracking task execution ratio and the signal quality information is established; and the signal quality information is analyzed for ratio response using the adjustment response relationship to obtain the scanning and tracking task execution ratio.

[0038] Preferably, during the operation of the phased array antenna, the signal quality information is monitored in real time, including key indicators such as signal strength (SNR), transmission delay, and Doppler frequency shift, which reflect the quality and stability of the current communication link. In order to adapt to the changes in demand under different working modes, an adjustment response relationship between the execution ratio of scanning and tracking tasks and signal quality information is established. This relationship is based on the real-time status and performance indicators of satellite communication, and an adaptive control algorithm is used to dynamically adjust the working mode of the phased array antenna. For example, when the quality of the communication link is detected to be reduced (such as a 10dB reduction in signal strength or a significant increase in transmission delay), the proportion of tracking tasks will be increased first to ensure the stability and reliability of the signal. Specifically, the execution ratio of tracking tasks will be dynamically adjusted according to the degree of signal quality reduction. If the signal strength decreases by 10dB, the proportion of tracking tasks will be increased from 70% to 85%, and the proportion of scanning tasks will be reduced from 30% to 15%. This adjustment can concentrate resources to maintain high-quality signal reception and avoid connection interruptions caused by signal fluctuations. On the contrary, when the communication link quality is good (such as high signal strength and good stability), the proportion of scanning tasks is appropriately increased to discover new communication opportunities or optimize link configuration. For example, if the signal strength remains at a high level and the delay is low, the proportion of scanning tasks is increased from 20% to 40%, and the proportion of tracking tasks is reduced from 80% to 60%. This adjustment can expand the signal search range and provide more options for potential link switching or aggregation, thereby further improving system performance. Through this adjustment response relationship, the signal quality information can be proportionally analyzed and the optimal scanning and tracking task execution ratio can be dynamically calculated. For example, when the signal quality is at a medium level, the proportion of scanning tasks and tracking tasks will be set to 30% and 70% respectively to strike a balance between signal stability and resource utilization. This adaptive adjustment mechanism can not only reduce power consumption and delay, but also significantly improve the connection quality, ensuring the stable operation of multi-band satellite TV services in different environments. Through the above process, the execution ratio of scanning and tracking tasks can be dynamically adjusted according to real-time signal quality information, thereby optimizing the working mode of the phased array antenna and improving the stability and performance of multi-band satellite TV services.

[0039] The electronic beam is controlled and scanned according to the scanning area and scanning parameters of the phased array antenna, the electronic scanning path, and the execution ratio of the scanning and tracking tasks.

[0040] In one embodiment, during the operation of the phased array antenna, the electronic beam is precisely controlled and scanned according to the optimized scanning area, scanning parameters, electronic scanning path, and scanning and tracking task execution ratio. This process mainly relies on phase control and beamforming technology, and the phase and amplitude of each radiating unit in the antenna array are adjusted to achieve fast, precise pointing and shape control of the electronic beam. First, the pointing direction of the electronic beam is determined according to the requirements of the scanning area. For example, if the scanning area is 120° in azimuth and 45° in elevation, the phase control technology is used to calculate the phase offset required for each radiating unit, so that the radiation signals of all units are superimposed in phase in the target direction to form a highly directional beam. The core principle of phase control is to control the direction of the beam by changing the phase delay of each unit and adjusting the propagation path of the signal. For example, for a linear array antenna, the phase offset can be calculated by the formula Calculate, where is the phase offset; d is the unit spacing; is the beam pointing angle; is the signal wavelength. Secondly, the beamforming technology is used to optimize the shape and width of the electronic beam. For example, in the wide scan mode, the amplitude weight of the radiating unit is adjusted so that the beam width is expanded from 2° to 5° to cover a larger area. The principle of beamforming is to control the main lobe width and side lobe level of the beam by weighting the amplitude of each radiating unit to adapt to different scanning requirements. For example, the use of Taylor weighting or Chebyshev weighting algorithm can effectively suppress side lobe interference while ensuring the main lobe width. In addition, according to the execution ratio of scanning and tracking tasks, the scanning speed and dwell time of the electronic beam are dynamically adjusted. For example, when the tracking task accounts for 85%, the scanning speed will be reduced and the dwell time of the beam in the target direction will be increased to ensure stable reception of the signal; when the scanning task accounts for 15%, the scanning speed will be increased to quickly cover a larger area to discover new signal sources. Finally, through the real-time feedback mechanism, the control parameters of the electronic beam are dynamically adjusted. For example, when the signal quality is detected to be degraded, the phase offset and amplitude weight are recalculated, and the beam pointing and shape are adjusted to cope with the changes in the signal path. This dynamic control method can significantly improve the stability and connection quality of multi-band satellite TV services. Through the above-mentioned phase control and beamforming technology, the electronic beam can be precisely controlled and scanned to ensure that the target signal can still be efficiently captured and tracked in complex environments, thereby improving the performance of multi-band satellite TV services.

[0041] In the above, refer to Figure 1 The multi-band satellite TV adjustment method based on phased array technology according to an embodiment of the present invention is described in detail. Figure 2A multi-band satellite TV adjustment antenna based on phased array technology according to an embodiment of the present invention is described.

[0042] The multi-band satellite TV adjustment antenna based on phased array technology according to the embodiment of the present invention is used to solve the technical problems of unstable connection quality, high power consumption and large delay caused by signal path changes, interference and frequent connection switching during the reception of multi-band satellite TV signals, and achieves the technical effect of realizing efficient connection switching and link aggregation, reducing power consumption and delay, and improving connection quality by dynamically optimizing the scanning parameters and paths of the phased array antenna and adaptively adjusting the scanning and tracking task ratio. The multi-band satellite TV adjustment antenna based on phased array technology includes: a signal path feature prediction component 11, an electronic scanning path establishment component 12, a task adjustment component 13, and a control scanning component 14.

[0043] Signal path characteristic prediction component 11: monitors the status information of the satellite in real time, and predicts the signal path characteristics of the multi-band satellite in combination with the preset satellite in-orbit information; electronic scanning path establishment component 12: based on the signal path characteristics of the multi-band satellite, optimizes the scanning scheme of the satellites of each frequency band, locates the scanning area and scanning parameters of the phased array antenna, and establishes the electronic scanning path of the scanning area; task adjustment component 13: tracks the signal quality information of the task scheduling, and adaptively adjusts the scanning and tracking task execution ratio of the phased array antenna according to the signal quality information; control scanning component 14: controls the scanning of the electronic beam according to the scanning area and scanning parameters of the phased array antenna, the electronic scanning path, and the scanning and tracking task execution ratio.

[0044] Furthermore, the signal path feature prediction component 11 further includes: Collect satellite status information in real time, including satellite position, signal strength, frequency band occupancy, and Doppler frequency shift data; obtain preset satellite on-orbit information based on a preset satellite orbit database; predict the change in the satellite status information based on the position relationship of the target TV and the preset satellite on-orbit information to obtain the signal path characteristics.

[0045] Furthermore, the signal path feature prediction component 11 further includes: Based on the preset satellite in-orbit information, the satellite orbit parameters and position information are determined, the position and status information of the satellite in the future are predicted, and the satellite prediction information is obtained; based on the positional relationship between the satellite prediction information and the target TV, the signal scanning path is identified; based on the transmission characteristics of the signal scanning path, the transmission change of the satellite status information is predicted to obtain the signal path characteristics.

[0046] Furthermore, the electronic scanning path establishing component 12 also includes: According to the signal path characteristics of the multi-band satellite, abnormal scanning characteristics are identified; with the goal of maximizing the difference compensation amount of the abnormal scanning characteristics, a scanning scheme search is performed according to the positioning information of the phased array antenna and the signal path characteristics of the multi-band satellite to obtain the scanning area and scanning parameters of the phased array antenna; according to the corresponding relationship between the scanning area of ​​the phased array antenna and the scanning of the multi-band satellite, an electronic scanning path of the scanning area is established.

[0047] Furthermore, the electronic scanning path establishing component 12 also includes: Obtain an adjustable parameter range of the phased array antenna, where the adjustable parameters include a scanning angle, a scanning speed, and a dwell time; perform difference compensation according to the abnormal scanning characteristics to obtain a difference compensation amount, and perform compensation analysis through the adjustable parameter range according to the original scanning path and the difference compensation amount as a target to obtain compensation parameters and compensation amounts; determine whether the compensation parameters and compensation amounts meet the compensation parameter and compensation amount requirements in the difference compensation amount; if not, perform compensation matching according to the difference compensation amount and the signal path characteristics of the multi-band satellite, and perform abnormal compensation amount maximization target search through the adjustable parameter range until a scanning scheme that meets the requirements is obtained.

[0048] Furthermore, the electronic scanning path establishing component 12 also includes: The scanning signal target is analyzed according to the difference compensation amount to obtain the switching path signal target feature; the switching path signal target feature is matched with the signal path feature of the multi-band satellite to obtain the matching result of each satellite; the matching result of each satellite is searched with the goal of maximizing the abnormal compensation amount, and when there is a satellite link that meets the requirements, the switching scanning path is determined as the scanning scheme; when there is no satellite link that meets the requirements, multiple satellites are used to perform link aggregation, and a search is performed according to the aggregation matching results of the link aggregation to determine the scanning path corresponding to the link aggregation as the scanning scheme.

[0049] Furthermore, the electronic scanning path establishing component 12 also includes: The scanning weights of multiple frequency bands are configured according to the target television demand; the compensation matching tolerance of the multiple frequency bands in the abnormal compensation amount is configured according to the scanning weights of the multiple frequency bands; according to the compensation matching tolerance, a target evaluation function is established with the abnormal compensation amount being maximized as the target; according to the matching results of each satellite, a multi-link aggregation evaluation is performed according to the target evaluation function with the minimum link aggregation amount as a constraint condition, and the link aggregation scanning path with the largest target evaluation result is selected as the scanning plan.

[0050] Furthermore, the electronic scanning path establishing component 12 also includes: The scanning area of ​​the phased array antenna is located according to the scanning scheme, and the central subarray, edge subarray, and idle subarray are identified; the radio frequency switch control strategy of the central subarray, edge subarray, and idle subarray is analyzed according to the target TV demand; and the phased array antenna is partitioned and controlled according to the radio frequency switch control strategy.

[0051] Furthermore, the task adjustment component 13 also includes: An adjustment response relationship between the scanning and tracking task execution ratio and the signal quality information is established; and the signal quality information is analyzed for ratio response using the adjustment response relationship to obtain the scanning and tracking task execution ratio.

[0052] The multi-band satellite TV adjustment antenna based on phased array technology provided in the embodiment of the present invention can execute the multi-band satellite TV adjustment method based on phased array technology provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0053] Although the present application makes various references to certain components in the antenna according to the embodiments of the present application, any number of different components may be used and run on the user terminal and / or server, and the various components included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0054] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A multi-band satellite TV adjustment method based on phased array technology, characterized in that: include: Monitor satellite status information in real time, combine preset satellite on-orbit information, and predict signal path characteristics of multi-band satellites; Based on the signal path characteristics of the multi-band satellite, the scanning scheme of each frequency band satellite is optimized, the scanning area and scanning parameters of the phased array antenna are located, and the electronic scanning path of the scanning area is established; tracking signal quality information of task scheduling, and adaptively adjusting the scanning and tracking task execution ratio of the phased array antenna according to the signal quality information; The electronic beam is controlled and scanned according to the scanning area and scanning parameters of the phased array antenna, the electronic scanning path, and the scanning and tracking task execution ratio.

2. The multi-band satellite TV adjustment method based on phased array technology according to claim 1, characterized in that: Real-time monitoring of satellite status information, combined with preset satellite in-orbit information, predicts the signal path characteristics of multi-band satellites, including: Real-time collection of satellite status information, including satellite position, signal strength, frequency band occupancy, and Doppler shift data; According to the preset satellite orbit database, obtain the preset satellite in-orbit information; The signal path characteristics are obtained by predicting the change amount of the satellite status information according to the position relationship of the target TV and combining the preset satellite on-orbit information.

3. The multi-band satellite TV adjustment method based on phased array technology according to claim 2, characterized in that: Predicting the change amount of the satellite status information according to the position relationship of the target TV and the preset satellite on-orbit information to obtain the signal path characteristics includes: Determine satellite orbit parameters and position information based on the preset satellite on-orbit information, predict the position and state information of the satellite at a future time, and obtain satellite prediction information; identifying a signal scanning path according to a positional relationship between the satellite prediction information and the target television; According to the transmission characteristics of the signal scanning path, the transmission change amount of the state information of the satellite is predicted to obtain the signal path characteristics.

4. The multi-band satellite TV adjustment method based on phased array technology according to claim 1, characterized in that: Based on the signal path characteristics of the multi-band satellite, the scanning scheme of each frequency band satellite is optimized, the scanning area and scanning parameters of the phased array antenna are located, and the electronic scanning path of the scanning area is established, including: identifying abnormal scanning features based on signal path features of the multi-band satellite; With the goal of maximizing the difference compensation amount of the abnormal scanning feature, a scanning scheme search is performed according to the positioning information of the phased array antenna and the signal path characteristics of the multi-band satellite to obtain a scanning area and scanning parameters of the phased array antenna; An electronic scanning path of the scanning area is established according to the corresponding relationship between the scanning area of ​​the phased array antenna and the scanning of the multi-band satellite.

5. The multi-band satellite TV adjustment method based on phased array technology according to claim 4, characterized in that: The method aims to maximize the difference compensation amount of the abnormal scanning feature, and searches for a scanning scheme according to the positioning information of the phased array antenna and the signal path characteristics of the multi-band satellite, including: Obtaining the adjustable parameter range of the phased array antenna, the adjustable parameters include scanning angle, scanning speed, and dwell time; Perform difference compensation according to the abnormal scanning feature to obtain a difference compensation amount, and perform compensation analysis through the adjustable parameter range according to the original scanning path with the difference compensation amount as the target to obtain compensation parameters and compensation amount; Determine whether the compensation parameters and compensation amounts meet the compensation parameter and compensation amount requirements in the difference compensation amount. If not, perform compensation matching based on the difference compensation amount and the signal path characteristics of the multi-band satellite, and perform target search for maximizing the abnormal compensation amount through the adjustable parameter range until a scanning plan that meets the requirements is obtained.

6. The multi-band satellite TV adjustment method based on phased array technology according to claim 5, characterized in that: Compensation matching is performed according to the difference compensation amount and the signal path characteristics of the multi-band satellite, and a target search for maximizing the abnormal compensation amount is performed through the adjustable parameter range, including: Performing scanning signal target analysis according to the difference compensation amount to obtain switching path signal target characteristics; Matching the switching path signal target characteristics with the signal path characteristics of the multi-band satellite to obtain a matching result for each satellite; Searching the matching results of the satellites with the goal of maximizing the abnormal compensation amount, and when there is a satellite link that meets the requirements, determining to switch the scanning path as a scanning solution; When there is no satellite link that meets the requirements, multiple satellites are used to perform link aggregation, and a search is performed according to the aggregation matching result of the link aggregation to determine a scanning path corresponding to the link aggregation as the scanning solution.

7. The multi-band satellite TV adjustment method based on phased array technology according to claim 6, characterized in that: Using multiple satellites to perform link aggregation, searching according to the aggregation matching result of the link aggregation, and determining a scanning path corresponding to the link aggregation as the scanning scheme, including: Configure scanning weights of multiple frequency bands according to target TV requirements; configuring compensation matching tolerance for multiple frequency bands in the abnormal compensation amount according to the scanning weights of the multiple frequency bands; According to the compensation matching tolerance, a target evaluation function is established by maximizing the abnormal compensation amount; According to the matching results of each satellite, the minimum link aggregation amount is taken as a constraint condition, and multi-link aggregation evaluation is performed according to the target evaluation function, and the link aggregation scanning path with the largest target evaluation result is selected as the scanning solution.

8. The multi-band satellite TV adjustment method based on phased array technology according to claim 7, characterized in that: Also includes: Locate the scanning area of ​​the phased array antenna according to the scanning scheme, and identify the central subarray, the edge subarray, and the idle subarray; Analyze the radio frequency switch control strategies of the central subarray, the edge subarray, and the idle subarray according to the target TV demand; The phased array antenna is controlled by partitions according to the radio frequency switch control strategy.

9. The multi-band satellite TV adjustment method based on phased array technology according to claim 1, characterized in that: Adaptively adjusting the scanning and tracking task execution ratio of the phased array antenna according to the signal quality information includes: Establish the adjustment response relationship between the scanning and tracking task execution ratio and signal quality information; The signal quality information is analyzed by proportional response using the adjustment response relationship to obtain the scanning and tracking task execution ratio.

10. A multi-band satellite TV adjustment antenna based on phased array technology, characterized in that: The antenna is used to implement the multi-band satellite TV adjustment method based on phased array technology as described in any one of claims 1 to 9, comprising: Signal path feature prediction component: monitors satellite status information in real time, combines preset satellite on-orbit information, and predicts signal path features of multi-band satellites; An electronic scanning path establishment component: based on the signal path characteristics of the multi-band satellite, optimizes the scanning scheme of each frequency band satellite, locates the scanning area and scanning parameters of the phased array antenna, and establishes the electronic scanning path of the scanning area; Task adjustment component: tracking the signal quality information of task scheduling, and adaptively adjusting the scanning and tracking task execution ratio of the phased array antenna according to the signal quality information; Control scanning component: Control scanning of the electronic beam according to the scanning area and scanning parameters of the phased array antenna, the electronic scanning path, and the scanning and tracking task execution ratio.

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