Satellite antenna beam optimization system and method

Abstract

The invention relates to the technical field of satellite antennas, and discloses a satellite antenna beam optimization system and method, and the method comprises the steps: obtaining a plurality of real-time received signal intensities of a satellite antenna based on a preset moment, carrying out the qualification analysis, and determining a real-time received signal intensity set; determining high signal strength and low signal strength in the real-time receiving signal strength set to obtain a continuously increased real-time receiving signal strength area and a continuously reduced real-time receiving signal strength area; determining a plurality of relative real-time received signal strength factors, and calculating a satellite antenna beam optimization coefficient; and judging whether beam optimization needs to be performed on the satellite antenna based on the satellite antenna beam optimization coefficient, if so, setting a beam optimization strategy of the satellite antenna according to the satellite antenna beam optimization coefficient, adjusting the phase of each antenna unit through real-time signal strength, and dynamically synthesizing an optimal beam direction. The accuracy and the high efficiency of satellite antenna beam optimization are ensured, and the system performance and the environment adaptability of the satellite antenna beam are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of satellite antennas, and in particular, to a satellite antenna beam optimization system and method. Background Art

[0002] With the explosive growth of global communication demands, satellite communication systems have become an important supplement to terrestrial communication networks due to their advantages such as wide-area coverage and strong anti-damage capabilities, and play an irreplaceable role in fields such as the Internet of Things, emergency communication, and military communication.

[0003] Traditional satellite antennas rely on mechanical steering or preset beam patterns and are difficult to cope with signal attenuation caused by movement or dynamic signal attenuation. Although existing phased array technologies support electronic scanning, they lack an adaptive closed-loop control mechanism with real-time signal strength as feedback and cannot achieve precise optimization of satellite antenna beams. Summary of the Invention

[0004] Embodiments of the present invention provide a satellite antenna beam optimization system and method. By adjusting the phases of each antenna unit according to real-time signal strength, the present invention dynamically synthesizes the optimal beam direction, ensuring the precision and efficiency of satellite antenna beam optimization and significantly improving the system performance and environmental adaptability of satellite antenna beams.

[0005] To achieve the above object, the present invention provides a satellite antenna beam optimization method, including: Obtaining the real-time received signal strengths of a satellite antenna at a preset moment, performing qualification analysis on all the real-time received signal strengths, and determining a real-time received signal strength set based on the analysis results; Determining the high signal strength and low signal strength in the real-time received signal strength set, differentiating the real-time received signal strength set according to the high signal strength and low signal strength to obtain a continuously increasing real-time received signal strength region and a continuously decreasing real-time received signal strength region; Analyzing the continuously increasing real-time received signal strength region and the continuously decreasing real-time received signal strength region, determining a plurality of relative real-time received signal strength factors, and calculating a satellite antenna beam optimization coefficient of the satellite antenna according to all the relative real-time received signal strength factors; Based on the relationship between the satellite antenna beam optimization coefficient and a preset satellite antenna beam optimization coefficient, determining whether beam optimization of the satellite antenna is required. If so, setting a beam optimization strategy for the satellite antenna according to the satellite antenna beam optimization coefficient.

[0006] Further, when performing qualification analysis on all the real-time received signal strengths and determining a real-time received signal strength set based on the analysis results, it includes: Determine the reference real-time received signal strength corresponding to all real-time received signal strengths, where the reference real-time received signal strength is the median of all real-time received signal strengths; Generate small-strength identifiers for all real-time received signal strengths less than the reference real-time received signal strength; Generate large-strength identifiers for all real-time received signal strengths greater than or equal to the reference real-time received signal strength; Randomly pair up the real-time received signal strengths corresponding to each small-strength identifier with the real-time received signal strengths corresponding to each large-strength identifier to obtain multiple groups of real-time received signal strengths; Based on the real-time received signal strengths and the corresponding preset times in each group of real-time received signal strengths, determine the real-time received signal strength distance of each group of real-time received signal strengths; Calculate the qualification analysis value of each group of real-time received signal strengths according to the real-time received signal strength distance; When the qualification analysis value is greater than or equal to the preset qualification analysis value, generate a qualification analysis mark for the real-time received signal strengths in the corresponding group of real-time received signal strengths; When the qualification analysis value is less than the preset qualification analysis value, generate a qualification analysis mark for the larger real-time received signal strength in the group of real-time received signal strengths, and delete the smaller qualification analysis mark; Determine the set of real-time received signal strengths based on all the real-time received signal strengths with qualification analysis marks generated;

[0007] Further, when calculating the qualification analysis value of each group of real-time received signal strengths according to the real-time received signal strength distance, it includes: Calculate the qualification analysis value of each group of real-time received signal strengths according to the following formula: ; where q is the qualification analysis value of the group of real-time received signal strengths, w is the real-time received signal strength distance, e1 is the larger real-time received signal strength in the group of real-time received signal strengths, and e2 is the smaller real-time received signal strength in the group of real-time received signal strengths.

[0008] Further, when determining the high signal strength and low signal strength in the set of real-time received signal strengths, and distinguishing the set of real-time received signal strengths according to the high signal strength and low signal strength to obtain a continuously increasing real-time received signal strength area and a continuously decreasing real-time received signal strength area, it includes: Determine the high signal strength and low signal strength in the set of real-time received signal strengths, where the mean and standard deviation of the set of real-time received signal strengths are calculated, and numerical comparisons are made. The larger value is taken as the high signal strength, and the smaller value is taken as the low signal strength; Determine all real-time received signal strengths greater than the high signal strength as high real-time received signal strengths; Determine all real-time received signal strengths less than the low signal strength as low real-time received signal strengths; Regard the continuous high real-time received signal strengths in the set of real-time received signal strengths as continuous increasing real-time received signal strength regions; Regard the continuous low real-time received signal strengths in the set of real-time received signal strengths as continuous decreasing real-time received signal strength regions.

[0009] Further, when analyzing the continuous increasing real-time received signal strength regions and continuous decreasing real-time received signal strength regions to determine multiple relative real-time received signal strength factors, it includes: Determine the sum of continuous increasing real-time received signal strengths corresponding to each continuous increasing real-time received signal strength region; Determine the maximum continuous increasing real-time received signal strength from all continuous increasing real-time received signal strength regions, and take the ratio of the maximum continuous increasing real-time received signal strength to the sum of continuous increasing real-time received signal strengths of each continuous increasing real-time received signal strength region as the increasing relative real-time received signal strength factor; Determine the sum of continuous decreasing real-time received signal strengths corresponding to each continuous decreasing real-time received signal strength region; Determine the maximum continuous decreasing real-time received signal strength from all continuous decreasing real-time received signal strength regions, and take the ratio of the maximum continuous decreasing real-time received signal strength to the sum of continuous decreasing real-time received signal strengths of each continuous decreasing real-time received signal strength region as the decreasing relative real-time received signal strength factor.

[0010] Further, when calculating the satellite antenna beam optimization coefficient of the satellite antenna according to all relative real-time received signal strength factors, it includes: Randomly combine each increasing relative real-time received signal strength factor with each decreasing relative real-time received signal strength factor in pairs to obtain multiple increasing-decreasing relative real-time received signal strength factor groups; Calculate the satellite antenna beam optimization coefficient of the satellite antenna according to the following formula: ; where y is the satellite antenna beam optimization coefficient of the satellite antenna, n is the number of increasing-decreasing relative real-time received signal strength factor groups, t1 u is the increasing relative real-time received signal strength factor in the u-th increasing-decreasing relative real-time received signal strength factor group, t2 uis the downlink relative real-time received signal strength factor in the u-th up / down relative real-time received signal strength factor group, for all minimum value of, for all maximum value of.

[0011] Further, when determining whether to perform beam optimization on the satellite antenna based on the relationship between the satellite antenna beam optimization coefficient and the preset satellite antenna beam optimization coefficient, it includes: When the satellite antenna beam optimization coefficient is less than the preset satellite antenna beam optimization coefficient, it is determined that beam optimization needs to be performed on the satellite antenna; When the satellite antenna beam optimization coefficient is greater than or equal to the preset satellite antenna beam optimization coefficient, it is determined that beam optimization does not need to be performed on the satellite antenna.

[0012] Further, when setting the beam optimization strategy of the satellite antenna according to the satellite antenna beam optimization coefficient, it includes: Obtain the current antenna element phase of the satellite antenna; Preset the first preset satellite antenna beam optimization coefficient and the second preset satellite antenna beam optimization coefficient in advance; Preset the first preset optimization value, the second preset optimization value, and the third preset optimization value in advance; When the satellite antenna beam optimization coefficient is less than the first preset satellite antenna beam optimization coefficient, determine the product value of the current antenna element phase and the first preset optimization value as the target antenna element phase of the satellite antenna; When the satellite antenna beam optimization coefficient is greater than or equal to the first preset satellite antenna beam optimization coefficient and less than the second preset satellite antenna beam optimization coefficient, determine the product value of the current antenna element phase and the second preset optimization value as the target antenna element phase of the satellite antenna; When the satellite antenna beam optimization coefficient is greater than or equal to the second preset satellite antenna beam optimization coefficient, determine the product value of the current antenna element phase and the third preset optimization value as the target antenna element phase of the satellite antenna.

[0013] To achieve the above object, the present invention also provides a satellite antenna beam optimization system, including: A set determination module, configured to obtain multiple real-time received signal strengths of a satellite antenna based on a preset moment, perform qualification analysis on all the real-time received signal strengths, and determine a real-time received signal strength set based on the analysis result; A signal partitioning module, configured to determine high signal intensities and low signal intensities in the set of real-time received signal intensities, and distinguish the set of real-time received signal intensities according to the high signal intensities and low signal intensities, so as to obtain a continuously increasing real-time received signal intensity region and a continuously decreasing real-time received signal intensity region; A coefficient calculation module, configured to analyze the continuously increasing real-time received signal intensity region and the continuously decreasing real-time received signal intensity region, determine a plurality of relative real-time received signal intensity factors, and calculate a satellite antenna beam optimization coefficient of the satellite antenna according to all the relative real-time received signal intensity factors; A beam optimization module, configured to determine whether beam optimization of the satellite antenna is required based on the relationship between the satellite antenna beam optimization coefficient and a preset satellite antenna beam optimization coefficient. If so, set a beam optimization strategy for the satellite antenna according to the satellite antenna beam optimization coefficient.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention discloses a satellite antenna beam optimization system and method. Based on obtaining a plurality of real-time received signal intensities of a satellite antenna at a preset moment, performing qualification analysis to determine a set of real-time received signal intensities; determining high signal intensities and low signal intensities in the set of real-time received signal intensities to obtain a continuously increasing real-time received signal intensity region and a continuously decreasing real-time received signal intensity region; determining a plurality of relative real-time received signal intensity factors and calculating a satellite antenna beam optimization coefficient; determining whether beam optimization of the satellite antenna is required based on the satellite antenna beam optimization coefficient. If so, setting a beam optimization strategy for the satellite antenna according to the satellite antenna beam optimization coefficient, adjusting the phases of each antenna unit through real-time signal intensities, and dynamically synthesizing an optimal beam direction, which ensures the accuracy and efficiency of satellite antenna beam optimization, and significantly improves the system performance and environmental adaptability of the satellite antenna beam. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] By reading the detailed description of the preferred embodiments below, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of illustrating the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings: Figure 1 Shows a schematic flowchart of a satellite antenna beam optimization method in an embodiment of the present invention; Figure 2 Shows a schematic structural diagram of a satellite antenna beam optimization system in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] The following will further describe in detail the specific implementation manners of the present invention in conjunction with the accompanying drawings and embodiments. The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0017] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present application.

[0018] The terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise stated, the meaning of "plurality" is two or more.

[0019] In the description of the present application, it should be noted that unless otherwise clearly defined and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0020] The following is a description of the preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0021] As Figure 1 shown, an embodiment of the present invention discloses a satellite antenna beam optimization method, including: S110: Obtain multiple real-time received signal strengths of the satellite antenna based on a preset moment, perform a qualification analysis on all the real-time received signal strengths, and determine a real-time received signal strength set based on the analysis result; In some embodiments of the present application, when performing a qualification analysis on all the real-time received signal strengths and determining a real-time received signal strength set based on the analysis result, it includes: Determine the reference real-time received signal strength corresponding to all the real-time received signal strengths, where the reference real-time received signal strength is the median of all the real-time received signal strengths; Generate a small strength identifier for all the real-time received signal strengths that are less than the reference real-time received signal strength; Generate a high-intensity identifier for all real-time received signal strengths greater than or equal to the reference real-time received signal strength; Randomly pair the real-time received signal strengths corresponding to each low-intensity identifier with the real-time received signal strengths corresponding to each high-intensity identifier to obtain multiple groups of real-time received signal strengths; Based on the real-time received signal strengths in each group of real-time received signal strengths and the corresponding preset moments, determine the real-time received signal strength distance for each group of real-time received signal strengths; Calculate the qualification analysis value for each group of real-time received signal strengths according to the real-time received signal strength distance; When the qualification analysis value is greater than or equal to the preset qualification analysis value, generate a qualification analysis mark for the real-time received signal strengths in the corresponding group of real-time received signal strengths; When the qualification analysis value is less than the preset qualification analysis value, generate a qualification analysis mark for the larger real-time received signal strength in the group of real-time received signal strengths, and delete the smaller qualification analysis mark; Determine the set of real-time received signal strengths based on all the real-time received signal strengths for which qualification analysis marks are generated.

[0022] In this embodiment, the preset moment is pre-set and refers to a specific time, such as the 10th second, the 30th second, the 50th second, etc., which is specifically set according to the actual situation. The number of preset moments is preferably 40 here.

[0023] In this embodiment, determine the median of all real-time received signal strengths as the reference real-time received signal strength.

[0024] In this embodiment, each group of real-time received signal strengths includes two real-time received signal strengths and the preset moments corresponding to each real-time received signal strength. Construct two arrays, such as (b1, b2), (c1, c2), where b1 is a real-time received signal strength, b2 is the preset moment corresponding to a real-time received signal strength, c1 is another real-time received signal strength, and c2 is the preset moment corresponding to another real-time received signal strength. Determine the real-time received signal strength distance for each group of real-time received signal strengths, that is, determine the Euclidean distance.

[0025] In this embodiment, the preset qualification analysis value is preferably 6.

[0026] The beneficial effects of the above technical solution are: The present invention performs a qualification analysis on all real-time received signal strengths and determines the set of real-time received signal strengths based on the analysis results, realizing the initialization processing of the real-time received signal strengths, removing data with large noise, and ensuring the accuracy of subsequent satellite antenna beam optimization.

[0027] In some embodiments of the present application, when calculating the eligibility analysis value of each real-time received signal strength group according to the real-time received signal strength distance, it includes: Calculate the eligibility analysis value of each real-time received signal strength group according to the following formula: ; where q is the eligibility analysis value of the real-time received signal strength group, w is the real-time received signal strength distance, e1 is the larger real-time received signal strength in the real-time received signal strength group, and e2 is the smaller real-time received signal strength in the real-time received signal strength group.

[0028] S120: Determine the high signal strength and low signal strength in the real-time received signal strength set, and distinguish the real-time received signal strength set according to the high signal strength and low signal strength to obtain a continuous increasing real-time received signal strength area and a continuous decreasing real-time received signal strength area; In some embodiments of the present application, when determining the high signal strength and low signal strength in the real-time received signal strength set, and distinguishing the real-time received signal strength set according to the high signal strength and low signal strength to obtain a continuous increasing real-time received signal strength area and a continuous decreasing real-time received signal strength area, it includes: Determine the high signal strength and low signal strength in the real-time received signal strength set, where the mean and standard deviation of the real-time received signal strength set are calculated and compared in terms of numerical magnitude, and the larger value is taken as the high signal strength and the smaller value is taken as the low signal strength; Determine all real-time received signal strengths greater than the high signal strength as high real-time received signal strengths; Determine all real-time received signal strengths less than the low signal strength as low real-time received signal strengths; Take the continuous high real-time received signal strengths in the real-time received signal strength set as the continuous increasing real-time received signal strength area; Take the continuous low real-time received signal strengths in the real-time received signal strength set as the continuous decreasing real-time received signal strength area.

[0029] In this embodiment, when there are two or more high real-time received signal strengths or low real-time received signal strengths, it is determined as continuous.

[0030] The beneficial effects of the above technical solutions are: The present invention takes the continuous high real-time received signal strengths in the real-time received signal strength set as the continuous increasing real-time received signal strength area; takes the continuous low real-time received signal strengths in the real-time received signal strength set as the continuous decreasing real-time received signal strength area, realizing the partitioning of the real-time received signal strength, and further ensuring the comprehensiveness of satellite antenna beam optimization.

[0031] S130: Analyze the continuously increasing real-time received signal strength regions and the continuously decreasing real-time received signal strength regions to determine a plurality of relative real-time received signal strength factors, and calculate the satellite antenna beam optimization coefficient of the satellite antenna according to all the relative real-time received signal strength factors; In some embodiments of the present application, when analyzing the continuously increasing real-time received signal strength regions and the continuously decreasing real-time received signal strength regions to determine a plurality of relative real-time received signal strength factors, it includes: Determine the sum of the continuously increasing real-time received signal strengths corresponding to each continuously increasing real-time received signal strength region; Determine the maximum continuously increasing real-time received signal strength from all the continuously increasing real-time received signal strength regions, and use the ratio of the maximum continuously increasing real-time received signal strength to the sum of the continuously increasing real-time received signal strengths of each region as the increasing relative real-time received signal strength factor; Determine the sum of the continuously decreasing real-time received signal strengths corresponding to each continuously decreasing real-time received signal strength region; Determine the maximum continuously decreasing real-time received signal strength from all the continuously decreasing real-time received signal strength regions, and use the ratio of the maximum continuously decreasing real-time received signal strength to the sum of the continuously decreasing real-time received signal strengths of each region as the decreasing relative real-time received signal strength factor.

[0032] In some embodiments of the present application, when calculating the satellite antenna beam optimization coefficient of the satellite antenna according to all the relative real-time received signal strength factors, it includes: Randomly combine each increasing relative real-time received signal strength factor with each decreasing relative real-time received signal strength factor in pairs to obtain a plurality of increasing-decreasing relative real-time received signal strength factor groups; Calculate the satellite antenna beam optimization coefficient of the satellite antenna according to the following formula: ; where y is the satellite antenna beam optimization coefficient of the satellite antenna, n is the number of increasing-decreasing relative real-time received signal strength factor groups, t1 u is the increasing relative real-time received signal strength factor in the u-th increasing-decreasing relative real-time received signal strength factor group, t2 u is the decreasing relative real-time received signal strength factor in the u-th increasing-decreasing relative real-time received signal strength factor group, is the minimum value of all , is the maximum value of all .

[0033] In this embodiment, each increasing relative real-time received signal strength factor and each decreasing relative real-time received signal strength factor are randomly combined in pairs. If there are uncombined increasing relative real-time received signal strength factors or decreasing relative real-time received signal strength factors, they can be deleted.

[0034] The beneficial effects of the above technical solution are as follows: The present invention obtains the increasing relative real-time received signal strength factor and the decreasing relative real-time received signal strength factor. In actual situations, when the increasing relative real-time received signal strength factor and the decreasing relative real-time received signal strength factor have different effects on the beam optimization of the satellite antenna. Therefore, each increasing relative real-time received signal strength factor and each decreasing relative real-time received signal strength factor are randomly combined in pairs to obtain multiple increasing and decreasing relative real-time received signal strength factor groups, thereby ensuring the accuracy of the beam optimization of the satellite antenna and avoiding overly single optimization. Through the satellite antenna beam optimization coefficient, it is possible to conveniently determine whether the satellite antenna needs beam optimization.

[0035] S140: Based on the relationship between the satellite antenna beam optimization coefficient and the preset satellite antenna beam optimization coefficient, determine whether the satellite antenna needs to be beam-optimized. If so, set the beam optimization strategy of the satellite antenna according to the satellite antenna beam optimization coefficient.

[0036] In some embodiments of the present application, when determining whether the satellite antenna needs to be beam-optimized based on the relationship between the satellite antenna beam optimization coefficient and the preset satellite antenna beam optimization coefficient, it includes: When the satellite antenna beam optimization coefficient is less than the preset satellite antenna beam optimization coefficient, it is determined that the satellite antenna needs to be beam-optimized; When the satellite antenna beam optimization coefficient is greater than or equal to the preset satellite antenna beam optimization coefficient, it is determined that the satellite antenna does not need to be beam-optimized.

[0037] In this embodiment, the preset satellite antenna beam optimization coefficient is preferably 3, and it can be specifically adjusted according to the actual situation.

[0038] In some embodiments of the present application, when setting the beam optimization strategy of the satellite antenna according to the satellite antenna beam optimization coefficient, it includes: Obtain the current antenna element phase of the satellite antenna; Preset the first preset satellite antenna beam optimization coefficient and the second preset satellite antenna beam optimization coefficient in advance; Preset the first preset optimization value, the second preset optimization value, and the third preset optimization value in advance; When the satellite antenna beam optimization coefficient is less than the first preset satellite antenna beam optimization coefficient, the product value of the current antenna element phase and the first preset optimization value is determined as the target antenna element phase of the satellite antenna; When the satellite antenna beam optimization coefficient is greater than or equal to the first preset satellite antenna beam optimization coefficient and less than the second preset satellite antenna beam optimization coefficient, the product value of the current antenna element phase and the second preset optimization value is determined as the target antenna element phase of the satellite antenna; When the satellite antenna beam optimization coefficient is greater than or equal to the second preset satellite antenna beam optimization coefficient, the product value of the current antenna element phase and the third preset optimization value is determined as the target antenna element phase of the satellite antenna.

[0039] In this embodiment, the current antenna element phase refers to the angular value of the satellite antenna.

[0040] In this embodiment, the first preset satellite antenna beam optimization coefficient is preferably 5, and the second preset satellite antenna beam optimization coefficient is preferably 8.

[0041] In this embodiment, the first preset optimization value is preferably 0.85, the second preset optimization value is preferably 1.15, and the third preset optimization value is preferably 1.25.

[0042] The beneficial effects of the above technical solutions are as follows: By adjusting the phases of each antenna element according to the real-time signal strength, the optimal beam direction is dynamically synthesized, ensuring the accuracy and efficiency of satellite antenna beam optimization, and significantly improving the system performance and environmental adaptability of the satellite antenna beam.

[0043] To further elaborate the technical idea of the present invention, the technical solutions of the present invention will be described below in combination with specific application scenarios.

[0044] Correspondingly, as Figure 2 shown, the present application also provides a satellite antenna beam optimization system, including: A set determination module, configured to obtain multiple real-time received signal strengths of the satellite antenna based on a preset moment, perform a qualification analysis on all the real-time received signal strengths, and determine a real-time received signal strength set based on the analysis result; A signal partitioning module, configured to determine the high signal strength and the low signal strength in the real-time received signal strength set, and distinguish the real-time received signal strength set according to the high signal strength and the low signal strength to obtain a continuous increasing real-time received signal strength region and a continuous decreasing real-time received signal strength region; A coefficient calculation module, which is used to analyze the continuously increasing real-time received signal strength area and the continuously decreasing real-time received signal strength area, determine a plurality of relative real-time received signal strength factors, and calculate the satellite antenna beam optimization coefficient of the satellite antenna according to all the relative real-time received signal strength factors; A beam optimization module, which is used to judge whether it is necessary to optimize the beam of the satellite antenna based on the relationship between the satellite antenna beam optimization coefficient and the preset satellite antenna beam optimization coefficient. If so, set the beam optimization strategy of the satellite antenna according to the satellite antenna beam optimization coefficient.

[0045] In the description of the above embodiments, the specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0046] Although the present invention has been described above with reference to the embodiments, various improvements can be made to it and components therein can be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention can be combined with each other in any way, and only for the sake of saving space and resources, the situations of these combinations are not fully described in this specification.

[0047] Those of ordinary skill in the art can understand that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A satellite antenna beam optimization method, characterized in that, Including: Obtain multiple real-time received signal strengths of a satellite antenna based on a preset moment, perform qualification analysis on all the real-time received signal strengths, and determine a set of real-time received signal strengths based on the analysis results; Determine the high signal strength and the low signal strength in the set of real-time received signal strengths, and distinguish the set of real-time received signal strengths according to the high signal strength and the low signal strength to obtain a continuously increasing real-time received signal strength region and a continuously decreasing real-time received signal strength region; Analyze the continuously increasing real-time received signal strength region and the continuously decreasing real-time received signal strength region, determine multiple relative real-time received signal strength factors, and calculate a satellite antenna beam optimization coefficient of the satellite antenna according to all the relative real-time received signal strength factors; Based on the relationship between the satellite antenna beam optimization coefficient and a preset satellite antenna beam optimization coefficient, determine whether beam optimization of the satellite antenna is required. If so, set a beam optimization strategy of the satellite antenna according to the satellite antenna beam optimization coefficient.

2. The satellite antenna beam optimization method according to claim 1, characterized in that When performing qualification analysis on all the real-time received signal strengths and determining a set of real-time received signal strengths based on the analysis results, it includes: Determine a reference real-time received signal strength corresponding to all the real-time received signal strengths, where the reference real-time received signal strength is the median of all the real-time received signal strengths; Generate a small strength identifier for all the real-time received signal strengths less than the reference real-time received signal strength; Generate a large strength identifier for all the real-time received signal strengths greater than or equal to the reference real-time received signal strength; Randomly combine the real-time received signal strengths corresponding to each small strength identifier with the real-time received signal strengths corresponding to each large strength identifier in pairs to obtain multiple groups of real-time received signal strengths; Based on the real-time received signal strengths in each group of real-time received signal strengths and the corresponding preset moment, determine the real-time received signal strength distance of each group of real-time received signal strengths; Calculate a qualification analysis value of each group of real-time received signal strengths according to the real-time received signal strength distance; When the qualification analysis value is greater than or equal to a preset qualification analysis value, generate a qualification analysis mark for the real-time received signal strengths in the corresponding group of real-time received signal strengths; When the qualification analysis value is less than the preset qualification analysis value, generate a qualification analysis mark for the larger real-time received signal strength in the group of real-time received signal strengths, and delete the smaller qualification analysis mark; Determine a set of real-time received signal strengths based on all the real-time received signal strengths for which qualification analysis marks are generated.

3. The satellite antenna beam optimization method according to claim 2, characterized in that When calculating a qualification analysis value of each group of real-time received signal strengths according to the real-time received signal strength distance, it includes: Calculate a qualification analysis value of each group of real-time received signal strengths according to the following formula: ； where q is the qualification analysis value of the group of real-time received signal strengths, w is the real-time received signal strength distance, e1 is the larger real-time received signal strength in the group of real-time received signal strengths, and e2 is the smaller real-time received signal strength in the group of real-time received signal strengths.

4. The satellite antenna beam optimization method according to claim 1, characterized in that, When determining the high signal strength and low signal strength in the set of real-time received signal strengths, and differentiating the set of real-time received signal strengths according to the high signal strength and low signal strength to obtain a continuously increasing real-time received signal strength region and a continuously decreasing real-time received signal strength region, it includes: Determine the high signal strength and low signal strength in the set of real-time received signal strengths. Among them, calculate the mean and standard deviation of the set of real-time received signal strengths, and compare the numerical magnitudes. Take the larger value as the high signal strength and the smaller value as the low signal strength; Determine all real-time received signal strengths greater than the high signal strength as high real-time received signal strengths; Determine all real-time received signal strengths less than the low signal strength as low real-time received signal strengths; Take the continuous high real-time received signal strengths in the set of real-time received signal strengths as the continuously increasing real-time received signal strength region; Take the continuous low real-time received signal strengths in the set of real-time received signal strengths as the continuously decreasing real-time received signal strength region.

5. The satellite antenna beam optimization method according to claim 1, wherein When analyzing the continuously increasing real-time received signal strength region and the continuously decreasing real-time received signal strength region to determine multiple relative real-time received signal strength factors, it includes: Determine the sum of the continuously increasing real-time received signal strengths corresponding to each continuously increasing real-time received signal strength region; Determine the maximum continuously increasing real-time received signal strength from all the continuously increasing real-time received signal strength regions, and take the ratio of the maximum continuously increasing real-time received signal strength to the sum of each continuously increasing real-time received signal strength as the increasing relative real-time received signal strength factor; Determine the sum of the continuously decreasing real-time received signal strengths corresponding to each continuously decreasing real-time received signal strength region; Determine the maximum continuously decreasing real-time received signal strength from all the continuously decreasing real-time received signal strength regions, and take the ratio of the maximum continuously decreasing real-time received signal strength to the sum of each continuously decreasing real-time received signal strength as the decreasing relative real-time received signal strength factor.

6. The satellite antenna beam optimization method according to claim 5, characterized in that, When calculating the satellite antenna beam optimization coefficient of the satellite antenna according to all the relative real-time received signal strength factors, it includes: Randomly combine each increasing relative real-time received signal strength factor with each decreasing relative real-time received signal strength factor in pairs to obtain multiple increasing-decreasing relative real-time received signal strength factor groups; Calculate the satellite antenna beam optimization coefficient of the satellite antenna according to the following formula: ； Among them, y is the satellite antenna beam optimization coefficient of the satellite antenna, n is the number of up / down relative real-time received signal strength factor groups, and t1 u is the up relative real-time received signal strength factor in the u-th up / down relative real-time received signal strength factor group, and t2 u is the down relative real-time received signal strength factor in the u-th up / down relative real-time received signal strength factor group, is the minimum value of all , is the maximum value of all .

7. The satellite antenna beam optimization method according to claim 1, characterized in that When judging whether it is necessary to optimize the beam of the satellite antenna based on the relationship between the satellite antenna beam optimization coefficient and the preset satellite antenna beam optimization coefficient, it includes: When the satellite antenna beam optimization coefficient is less than the preset satellite antenna beam optimization coefficient, it is judged that it is necessary to optimize the beam of the satellite antenna; When the satellite antenna beam optimization coefficient is greater than or equal to the preset satellite antenna beam optimization coefficient, it is judged that it is not necessary to optimize the beam of the satellite antenna.

8. The satellite antenna beam optimization method according to claim 1, characterized in that When setting the beam optimization strategy of the satellite antenna according to the satellite antenna beam optimization coefficient, it includes: Obtain the current antenna element phase of the satellite antenna; Preset a first preset satellite antenna beam optimization coefficient and a second preset satellite antenna beam optimization coefficient; Preset a first preset optimization value, a second preset optimization value, and a third preset optimization value; When the satellite antenna beam optimization coefficient is less than the first preset satellite antenna beam optimization coefficient, determine the product value of the current antenna element phase and the first preset optimization value as the target antenna element phase of the satellite antenna; When the satellite antenna beam optimization coefficient is greater than or equal to the first preset satellite antenna beam optimization coefficient and less than the second preset satellite antenna beam optimization coefficient, determine the product value of the current antenna element phase and the second preset optimization value as the target antenna element phase of the satellite antenna; When the satellite antenna beam optimization coefficient is greater than or equal to the second preset satellite antenna beam optimization coefficient, determine the product value of the current antenna element phase and the third preset optimization value as the target antenna element phase of the satellite antenna.

9. A satellite antenna beam optimization system, applied to the satellite antenna beam optimization method according to any one of claims 1-8, characterized in that, Comprising: A set determination module, configured to obtain multiple real-time received signal strengths of a satellite antenna based on a preset moment, perform qualification analysis on all the real-time received signal strengths, and determine a real-time received signal strength set based on the analysis result; A signal partitioning module, configured to determine a high signal strength and a low signal strength in the real-time received signal strength set, distinguish the real-time received signal strength set according to the high signal strength and the low signal strength, and obtain a continuously increasing real-time received signal strength region and a continuously decreasing real-time received signal strength region; A coefficient calculation module, configured to analyze the continuously increasing real-time received signal strength region and the continuously decreasing real-time received signal strength region, determine multiple relative real-time received signal strength factors, and calculate the satellite antenna beam optimization coefficient of the satellite antenna according to all the relative real-time received signal strength factors; A beam optimization module, configured to determine whether beam optimization of the satellite antenna is required based on the relationship between the satellite antenna beam optimization coefficient and the preset satellite antenna beam optimization coefficient. If so, set a beam optimization strategy for the satellite antenna according to the satellite antenna beam optimization coefficient.

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