A satellite antenna beam optimization system and method

Abstract

This invention relates to the field of satellite antenna technology and discloses a satellite antenna beam optimization system and method. Based on a preset time, multiple real-time received signal strengths of the satellite antenna are acquired, and a qualification analysis is performed to determine a set of real-time received signal strengths. High and low signal strengths within the set are identified, resulting in continuously increasing and decreasing real-time received signal strength regions. Multiple relative real-time received signal strength factors are determined, and satellite antenna beam optimization coefficients are calculated. Based on these coefficients, it is determined whether beam optimization of the satellite antenna is necessary. If so, a beam optimization strategy is set according to the coefficients. By adjusting the phase of each antenna element through 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.

Description

Technical Field

[0001] This invention relates to the field of satellite antenna technology, and more specifically, to a satellite antenna beam optimization system and method. Background Technology

[0002] With the explosive growth of global communication demand, satellite communication systems, due to their advantages such as wide coverage and strong resilience, have become an important supplement to terrestrial communication networks, playing 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, making it difficult to cope with signal attenuation caused by motion or dynamic signal attenuation. Although existing phased array technology supports electronic scanning, it lacks an adaptive closed-loop control mechanism that uses real-time signal strength as feedback, thus failing to achieve precise optimization of the satellite antenna beam. Summary of the Invention

[0004] This invention provides a satellite antenna beam optimization system and method. By adjusting the phase of each antenna element in real time based on signal strength, the invention dynamically synthesizes the optimal beam direction, ensuring the accuracy 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 objectives, the present invention provides a satellite antenna beam optimization method, comprising:

[0006] Based on the preset time, multiple real-time received signal strengths of the satellite antenna are acquired, and a qualification analysis is performed on all real-time received signal strengths. Based on the analysis results, a set of real-time received signal strengths is determined.

[0007] Determine the high signal strength and low signal strength in the set of real-time received signal strength, and distinguish the set of real-time received signal strength 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;

[0008] The regions of continuously increasing real-time received signal strength and continuously decreasing real-time received signal strength are analyzed to determine multiple relative real-time received signal strength factors, and the satellite antenna beam optimization coefficients of the satellite antenna are calculated based on all the relative real-time received signal strength factors.

[0009] Based on the relationship between the satellite antenna beam optimization coefficient and the preset satellite antenna beam optimization coefficient, it is determined whether beam optimization of the satellite antenna is required. If so, the beam optimization strategy of the satellite antenna is set according to the satellite antenna beam optimization coefficient.

[0010] Furthermore, when performing a conformity analysis on all real-time received signal strengths and determining the set of real-time received signal strengths based on the analysis results, this includes:

[0011] Determine the reference real-time received signal strength corresponding to all real-time received signal strengths, wherein the reference real-time received signal strength is the median of all real-time received signal strengths;

[0012] Generate a small strength identifier for all real-time received signal strengths that are less than the benchmark real-time received signal strength;

[0013] Generate a high-intensity identifier for all real-time received signal strengths that are greater than or equal to the reference real-time received signal strength;

[0014] The real-time received signal strength corresponding to each small intensity marker is randomly paired with the real-time received signal strength corresponding to each large intensity marker to obtain multiple real-time received signal strength groups.

[0015] Based on the real-time received signal strength in each real-time received signal strength group and the corresponding preset time, determine the real-time received signal strength distance of each real-time received signal strength group.

[0016] Calculate the passability analysis value for each real-time received signal strength group based on the real-time received signal strength distance;

[0017] When the qualification analysis value is greater than or equal to the preset qualification analysis value, a qualification analysis mark is generated for the real-time received signal strength in the corresponding real-time received signal strength group.

[0018] When the qualification analysis value is less than the preset qualification analysis value, a qualification analysis mark is generated for the larger real-time received signal strength in the real-time received signal strength group, and the smaller qualification analysis mark is deleted.

[0019] The set of real-time received signal strengths is determined based on the real-time received signal strengths of all generated qualification analysis markers.

[0020] Furthermore, when calculating the qualification analysis value for each real-time received signal strength group based on the real-time received signal strength distance, the following steps are included:

[0021] The passability analysis value for each real-time received signal strength group is calculated using the following formula:

[0022] ;

[0023] Where q is the qualification analysis value of the real-time received signal strength group, w is the distance of the real-time received signal strength, 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.

[0024] 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 based on the high signal strength and low signal strengths to obtain a continuously increasing real-time received signal strength region and a continuously decreasing real-time received signal strength region, the process includes:

[0025] Determine the high signal strength and low signal strength in the real-time received signal strength set, wherein the mean and standard deviation of the real-time received signal strength set are calculated and the values ​​are compared, with the larger value being the high signal strength and the smaller value being the low signal strength.

[0026] All real-time received signal strengths greater than the high signal strength are defined as high real-time received signal strengths.

[0027] All real-time received signal strengths less than the low signal strength are defined as low real-time received signal strengths.

[0028] The continuous high real-time received signal strength in the set of real-time received signal strength is defined as the continuous increasing real-time received signal strength region.

[0029] The continuous low real-time received signal strength in the set of real-time received signal strength is defined as the continuous decreasing real-time received signal strength region.

[0030] Furthermore, 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, the following is included:

[0031] Determine the continuous incremental real-time received signal strength and value corresponding to each continuous incremental real-time received signal strength zone;

[0032] The maximum continuously increasing real-time received signal strength is determined from all the continuously increasing real-time received signal strength regions, and the ratio of the maximum continuously increasing real-time received signal strength to the sum of each continuously increasing real-time received signal strength value is used as the increasing relative real-time received signal strength factor.

[0033] Determine the continuous decrease in real-time received signal strength and value corresponding to each continuous decrease in real-time received signal strength zone;

[0034] The maximum continuously decreasing real-time received signal strength is determined from all continuously decreasing real-time received signal strength regions, and the ratio of the maximum continuously decreasing real-time received signal strength to the sum of each continuously decreasing real-time received signal strength value is used as the decreasing relative real-time received signal strength factor.

[0035] Furthermore, when calculating the satellite antenna beam optimization coefficients based on all relative real-time received signal strength factors, the following is included:

[0036] Each increasing relative real-time received signal strength factor and each decreasing relative real-time received signal strength factor are randomly paired to obtain multiple groups of increasing and decreasing relative real-time received signal strength factors.

[0037] The satellite antenna beam optimization factor is calculated using the following formula:

[0038] ;

[0039] Where y is the satellite antenna beam optimization coefficient, n is the number of groups of relative real-time received signal strength factors, and t1 u Let t2 be the increasing relative real-time received signal strength factor in the u-th increasing / decreasing relative real-time received signal strength factor group. u For the u-th increasing / decreasing relative real-time received signal strength factor, the decreasing relative real-time received signal strength factor is... For all The minimum value, For all The maximum value.

[0040] Furthermore, when determining whether beam optimization of the satellite antenna is necessary based on the relationship between the satellite antenna beam optimization coefficient and the preset satellite antenna beam optimization coefficient, the process includes:

[0041] 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.

[0042] 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 of the satellite antenna is not required.

[0043] Furthermore, when setting the beam optimization strategy for the satellite antenna based on the satellite antenna beam optimization coefficients, the following is included:

[0044] Obtain the current antenna element phase of the satellite antenna;

[0045] The first preset satellite antenna beam optimization coefficient and the second preset satellite antenna beam optimization coefficient are preset.

[0046] Pre-set the first preset optimization value, the second preset optimization value, and the third preset optimization value;

[0047] When the satellite antenna beam optimization coefficient is less than the first preset satellite antenna beam optimization coefficient, the product of the current antenna element phase and the first preset optimization value is determined as the target antenna element phase of the satellite antenna.

[0048] 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 of the current antenna element phase and the second preset optimization value is determined as the target antenna element phase of the satellite antenna.

[0049] When the satellite antenna beam optimization coefficient is greater than or equal to the second preset satellite antenna beam optimization coefficient, the product of the current antenna element phase and the third preset optimization value is determined as the target antenna element phase of the satellite antenna.

[0050] To achieve the above objectives, the present invention also provides a satellite antenna beam optimization system, comprising:

[0051] The set determination module is used to acquire multiple real-time received signal strengths of the satellite antenna based on a preset time, perform a qualification analysis on all real-time received signal strengths, and determine the set of real-time received signal strengths based on the analysis results.

[0052] The signal partitioning module is used to determine the high signal strength and low signal strength in the real-time received signal strength set, and to distinguish 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.

[0053] The coefficient calculation module is used 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 based on all the relative real-time received signal strength factors.

[0054] The beam optimization module is used 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, the beam optimization strategy of the satellite antenna is set according to the satellite antenna beam optimization coefficient.

[0055] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0056] This invention discloses a satellite antenna beam optimization system and method. Based on multiple real-time received signal strengths of a satellite antenna acquired at preset times, a qualification analysis is performed to determine a set of real-time received signal strengths. High and low signal strengths within this set are identified, resulting in continuously increasing and decreasing real-time received signal strength regions. Multiple relative real-time received signal strength factors are determined, and satellite antenna beam optimization coefficients are calculated. Based on these coefficients, it is determined whether beam optimization of the satellite antenna is necessary. If so, a beam optimization strategy is set according to the coefficients. By adjusting the phase of each antenna element based on 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. Attached Figure Description

[0057] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0058] Figure 1 A flowchart illustrating a satellite antenna beam optimization method according to an embodiment of the present invention is shown;

[0059] Figure 2 A schematic diagram of a satellite antenna beam optimization system according to an embodiment of the present invention is shown. Detailed Implementation

[0060] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0061] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0062] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0063] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0064] The following is a description of preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0065] like Figure 1 As shown, an embodiment of the present invention discloses a satellite antenna beam optimization method, comprising:

[0066] S110: Based on a preset time, acquire multiple real-time received signal strengths of the satellite antenna, perform a qualification analysis on all real-time received signal strengths, and determine the set of real-time received signal strengths based on the analysis results;

[0067] In some embodiments of this application, when performing a conformity analysis on all real-time received signal strengths and determining the set of real-time received signal strengths based on the analysis results, the process includes:

[0068] Determine the reference real-time received signal strength corresponding to all real-time received signal strengths, wherein the reference real-time received signal strength is the median of all real-time received signal strengths;

[0069] Generate a small strength identifier for all real-time received signal strengths that are less than the benchmark real-time received signal strength;

[0070] Generate a high-intensity identifier for all real-time received signal strengths that are greater than or equal to the reference real-time received signal strength;

[0071] The real-time received signal strength corresponding to each small intensity marker is randomly paired with the real-time received signal strength corresponding to each large intensity marker to obtain multiple real-time received signal strength groups.

[0072] Based on the real-time received signal strength in each real-time received signal strength group and the corresponding preset time, determine the real-time received signal strength distance of each real-time received signal strength group.

[0073] Calculate the passability analysis value for each real-time received signal strength group based on the real-time received signal strength distance;

[0074] When the qualification analysis value is greater than or equal to the preset qualification analysis value, a qualification analysis mark is generated for the real-time received signal strength in the corresponding real-time received signal strength group.

[0075] When the qualification analysis value is less than the preset qualification analysis value, a qualification analysis mark is generated for the larger real-time received signal strength in the real-time received signal strength group, and the smaller qualification analysis mark is deleted.

[0076] The set of real-time received signal strengths is determined based on the real-time received signal strengths of all generated qualification analysis markers.

[0077] In this embodiment, the preset time is pre-set, which refers to a specific time, such as the 10th second, the 30th second, the 50th second, etc. The specific time is set according to the actual situation. Here, the number of preset times is preferably 40.

[0078] In this embodiment, the median of all real-time received signal strengths is determined as the reference real-time received signal strength.

[0079] In this embodiment, each real-time received signal strength group includes two real-time received signal strengths and a preset time corresponding to each real-time received signal strength, constructing two arrays, such as (b1, b2) and (c1, c2), where b1 is one real-time received signal strength, b2 is the preset time corresponding to one real-time received signal strength, c1 is the other real-time received signal strength, and c2 is the preset time corresponding to the other real-time received signal strength. The distance between the real-time received signal strengths in each real-time received signal strength group is determined, which is equivalent to determining the Euclidean distance.

[0080] In this embodiment, the preset pass / fail analysis value is preferably 6.

[0081] The beneficial effects of the above technical solution are: the present invention performs qualification analysis on all real-time received signal strengths and determines the set of real-time received signal strengths based on the analysis results, thereby realizing the initialization processing of real-time received signal strengths, removing data with large noise, and ensuring the accuracy of subsequent satellite antenna beam optimization.

[0082] In some embodiments of this application, calculating the qualification analysis value for each real-time received signal strength group based on the real-time received signal strength distance includes:

[0083] The passability analysis value for each real-time received signal strength group is calculated using the following formula:

[0084] ;

[0085] Where q is the qualification analysis value of the real-time received signal strength group, w is the distance of the real-time received signal strength, 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.

[0086] S120: Determine the high signal strength and low signal strength in the set of real-time received signal strength, and distinguish the set of real-time received signal strength 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;

[0087] In some embodiments of this application, 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 based on the high signal strength and low signal strengths to obtain a continuously increasing real-time received signal strength region and a continuously decreasing real-time received signal strength region, the process includes:

[0088] Determine the high signal strength and low signal strength in the real-time received signal strength set, wherein the mean and standard deviation of the real-time received signal strength set are calculated and the values ​​are compared, with the larger value being the high signal strength and the smaller value being the low signal strength.

[0089] All real-time received signal strengths greater than the high signal strength are defined as high real-time received signal strengths.

[0090] All real-time received signal strengths less than the low signal strength are defined as low real-time received signal strengths.

[0091] The continuous high real-time received signal strength in the set of real-time received signal strength is defined as the continuous increasing real-time received signal strength region.

[0092] The continuous low real-time received signal strength in the set of real-time received signal strength is defined as the continuous decreasing real-time received signal strength region.

[0093] In this embodiment, when there are two or more high real-time received signal strengths or low real-time received signal strengths, they are determined to be continuous.

[0094] The beneficial effects of the above technical solution are: the present invention uses the continuous high real-time received signal strength in the real-time received signal strength set as the continuous increasing real-time received signal strength region; and uses the continuous low real-time received signal strength in the real-time received signal strength set as the continuous decreasing real-time received signal strength region, thereby realizing the partitioning of real-time received signal strength and further ensuring the comprehensiveness of satellite antenna beam optimization.

[0095] S130: 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 based on all the relative real-time received signal strength factors;

[0096] In some embodiments of this application, 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, the following methods are included:

[0097] Determine the continuous incremental real-time received signal strength and value corresponding to each continuous incremental real-time received signal strength zone;

[0098] The maximum continuously increasing real-time received signal strength is determined from all the continuously increasing real-time received signal strength regions, and the ratio of the maximum continuously increasing real-time received signal strength to the sum of each continuously increasing real-time received signal strength value is used as the increasing relative real-time received signal strength factor.

[0099] Determine the continuous decrease in real-time received signal strength and value corresponding to each continuous decrease in real-time received signal strength zone;

[0100] The maximum continuously decreasing real-time received signal strength is determined from all continuously decreasing real-time received signal strength regions, and the ratio of the maximum continuously decreasing real-time received signal strength to the sum of each continuously decreasing real-time received signal strength value is used as the decreasing relative real-time received signal strength factor.

[0101] In some embodiments of this application, the calculation of the satellite antenna beam optimization coefficients based on all relative real-time received signal strength factors includes:

[0102] Each increasing relative real-time received signal strength factor and each decreasing relative real-time received signal strength factor are randomly paired to obtain multiple groups of increasing and decreasing relative real-time received signal strength factors.

[0103] The satellite antenna beam optimization factor is calculated using the following formula:

[0104] ;

[0105] Where y is the satellite antenna beam optimization coefficient, n is the number of groups of relative real-time received signal strength factors, and t1 u Let t2 be the increasing relative real-time received signal strength factor in the u-th increasing / decreasing relative real-time received signal strength factor group. u For the u-th increasing / decreasing relative real-time received signal strength factor, the decreasing relative real-time received signal strength factor is... For all The minimum value, For all The maximum value.

[0106] In this embodiment, each increasing relative real-time received signal strength factor and each decreasing relative real-time received signal strength factor are randomly paired. If there are any increasing relative real-time received signal strength factors or decreasing relative real-time received signal strength factors that are not paired, they can be deleted.

[0107] The beneficial effects of the above technical solution are as follows: This invention obtains an increasing relative real-time received signal strength factor and a decreasing relative real-time received signal strength factor. In practice, 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 paired to obtain multiple groups of increasing and decreasing relative real-time received signal strength factors, thereby ensuring the accuracy of the beam optimization of the satellite antenna and avoiding overly simplistic optimization. Through the beam optimization coefficient of the satellite antenna, it is easy to determine whether the satellite antenna needs beam optimization.

[0108] S140: Based on the relationship between the satellite antenna beam optimization coefficient and the preset satellite antenna beam optimization coefficient, determine whether beam optimization of the satellite antenna is required. If so, set the beam optimization strategy of the satellite antenna according to the satellite antenna beam optimization coefficient.

[0109] In some embodiments of this application, when determining whether beam optimization of the satellite antenna is needed based on the relationship between the satellite antenna beam optimization coefficient and a preset satellite antenna beam optimization coefficient, the method includes:

[0110] 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.

[0111] 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 of the satellite antenna is not required.

[0112] In this embodiment, the preset satellite antenna beam optimization coefficient is preferably 3, but it can be adjusted according to the actual situation.

[0113] In some embodiments of this application, setting the beam optimization strategy for the satellite antenna based on the satellite antenna beam optimization coefficients includes:

[0114] Obtain the current antenna element phase of the satellite antenna;

[0115] The first preset satellite antenna beam optimization coefficient and the second preset satellite antenna beam optimization coefficient are preset.

[0116] Pre-set the first preset optimization value, the second preset optimization value, and the third preset optimization value;

[0117] When the satellite antenna beam optimization coefficient is less than the first preset satellite antenna beam optimization coefficient, the product of the current antenna element phase and the first preset optimization value is determined as the target antenna element phase of the satellite antenna.

[0118] 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 of the current antenna element phase and the second preset optimization value is determined as the target antenna element phase of the satellite antenna.

[0119] When the satellite antenna beam optimization coefficient is greater than or equal to the second preset satellite antenna beam optimization coefficient, the product of the current antenna element phase and the third preset optimization value is determined as the target antenna element phase of the satellite antenna.

[0120] In this embodiment, the current antenna element phase refers to the angle value of the satellite antenna.

[0121] 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.

[0122] 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.

[0123] The beneficial effects of the above technical solution are: by adjusting the phase of each antenna element in real time with signal strength, the optimal beam direction is dynamically synthesized, which ensures the accuracy and efficiency of satellite antenna beam optimization and significantly improves the system performance and environmental adaptability of satellite antenna beam.

[0124] To further illustrate the technical concept of this invention, the technical solution of this invention will now be described in conjunction with specific application scenarios.

[0125] Correspondingly, such as Figure 2 As shown, this application also provides a satellite antenna beam optimization system, comprising:

[0126] The set determination module is used to acquire multiple real-time received signal strengths of the satellite antenna based on a preset time, perform a qualification analysis on all real-time received signal strengths, and determine the set of real-time received signal strengths based on the analysis results.

[0127] The signal partitioning module is used to determine the high signal strength and low signal strength in the real-time received signal strength set, and to distinguish 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.

[0128] The coefficient calculation module is used 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 based on all the relative real-time received signal strength factors.

[0129] The beam optimization module is used 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, the beam optimization strategy of the satellite antenna is set according to the satellite antenna beam optimization coefficient.

[0130] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0131] Although the invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, as long as there is no structural conflict, the features in the embodiments disclosed in this invention can be combined with each other in any way. The fact that not all of these combinations are described in this specification is merely for the sake of brevity and resource conservation.

[0132] It will be understood by those skilled in the art that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A satellite antenna beam optimization method, characterized in that, include: Based on the preset time, multiple real-time received signal strengths of the satellite antenna are acquired, and a qualification analysis is performed on all real-time received signal strengths. Based on the analysis results, a set of real-time received signal strengths is determined. Determine the high signal strength and low signal strength in the set of real-time received signal strength, and distinguish the set of real-time received signal strength 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; The regions of continuously increasing real-time received signal strength and continuously decreasing real-time received signal strength are analyzed to determine multiple relative real-time received signal strength factors, and the satellite antenna beam optimization coefficients of the satellite antenna are calculated based on all the relative real-time received signal strength factors. Based on the relationship between the satellite antenna beam optimization coefficient and the preset satellite antenna beam optimization coefficient, it is determined whether the satellite antenna needs to be beam optimized. If so, the beam optimization strategy of the satellite antenna is set according to the satellite antenna beam optimization coefficient. When performing a conformity analysis on all real-time received signal strengths and determining the set of real-time received signal strengths based on the analysis results, this includes: Determine the reference real-time received signal strength corresponding to all real-time received signal strengths, wherein the reference real-time received signal strength is the median of all real-time received signal strengths; Generate a small strength identifier for all real-time received signal strengths that are less than the benchmark real-time received signal strength; Generate a high-intensity identifier for all real-time received signal strengths that are greater than or equal to the reference real-time received signal strength; The real-time received signal strength corresponding to each small intensity marker is randomly paired with the real-time received signal strength corresponding to each large intensity marker to obtain multiple real-time received signal strength groups. Based on the real-time received signal strength in each real-time received signal strength group and the corresponding preset time, determine the real-time received signal strength distance of each real-time received signal strength group. Calculate the passability analysis value for each real-time received signal strength group based on the real-time received signal strength distance; When the qualification analysis value is greater than or equal to the preset qualification analysis value, a qualification analysis mark is generated for the real-time received signal strength in the corresponding real-time received signal strength group. When the qualification analysis value is less than the preset qualification analysis value, a qualification analysis mark is generated for the larger real-time received signal strength in the real-time received signal strength group, and the smaller real-time received signal strength is deleted. The set of real-time received signal strengths is determined based on the real-time received signal strengths of all generated qualification analysis markers.

2. The satellite antenna beam optimization method according to claim 1, characterized in that, When calculating the pass / fail analysis value for each real-time received signal strength group based on the real-time received signal strength distance, the following is included: The passability analysis value for each real-time received signal strength group is calculated using the following formula: ； Where q is the qualification analysis value of the real-time received signal strength group, w is the distance of the real-time received signal strength, 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.

3. The satellite antenna beam optimization method according to claim 1, characterized in that, When determining the high and low signal strengths in the set of real-time received signal strengths, and distinguishing the set of real-time received signal strengths based on the high and low signal strengths to obtain continuously increasing and continuously decreasing real-time received signal strength regions, the process includes: Determine the high signal strength and low signal strength in the real-time received signal strength set, wherein the mean and standard deviation of the real-time received signal strength set are calculated and the values ​​are compared, with the larger value being the high signal strength and the smaller value being the low signal strength. All real-time received signal strengths greater than the high signal strength are defined as high real-time received signal strengths. All real-time received signal strengths less than the low signal strength are defined as low real-time received signal strengths. The continuous high real-time received signal strength in the set of real-time received signal strength is defined as the continuous increasing real-time received signal strength region. The continuous low real-time received signal strength in the set of real-time received signal strength is defined as the continuous decreasing real-time received signal strength region.

4. The satellite antenna beam optimization method according to claim 1, characterized in that, 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, the following are included: Determine the continuous incremental real-time received signal strength and value corresponding to each continuous incremental real-time received signal strength zone; The maximum continuously increasing real-time received signal strength is determined from all the continuously increasing real-time received signal strength regions, and the ratio of the maximum continuously increasing real-time received signal strength to the sum of each continuously increasing real-time received signal strength value is used as the increasing relative real-time received signal strength factor. Determine the continuous decrease in real-time received signal strength and value corresponding to each continuous decrease in real-time received signal strength zone; The maximum continuously decreasing real-time received signal strength is determined from all continuously decreasing real-time received signal strength regions, and the ratio of the maximum continuously decreasing real-time received signal strength to the sum of each continuously decreasing real-time received signal strength value is used as the decreasing relative real-time received signal strength factor.

5. The satellite antenna beam optimization method according to claim 4, characterized in that, When calculating the satellite antenna beam optimization coefficients based on all relative real-time received signal strength factors, the following is included: Each increasing relative real-time received signal strength factor and each decreasing relative real-time received signal strength factor are randomly paired to obtain multiple groups of increasing and decreasing relative real-time received signal strength factors. The satellite antenna beam optimization factor is calculated using the following formula: ； Where y is the satellite antenna beam optimization coefficient, n is the number of groups of relative real-time received signal strength factors, and t1 u Let t2 be the increasing relative real-time received signal strength factor in the u-th increasing / decreasing relative real-time received signal strength factor group. u For the u-th increasing / decreasing relative real-time received signal strength factor, the decreasing relative real-time received signal strength factor is... For all The minimum value, For all The maximum value.

6. The satellite antenna beam optimization method according to claim 1, characterized in that, When determining whether beam optimization of the satellite antenna is necessary based on the relationship between the satellite antenna beam optimization coefficient and the preset satellite antenna beam optimization coefficient, the following steps are included: 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 beam optimization of the satellite antenna is not required.

7. The satellite antenna beam optimization method according to claim 1, characterized in that, When setting the beam optimization strategy for the satellite antenna based on the beam optimization coefficients, the following steps are included: Obtain the current antenna element phase of the satellite antenna; The first preset satellite antenna beam optimization coefficient and the second preset satellite antenna beam optimization coefficient are preset. Pre-set the first preset optimization value, the second preset optimization value, and the third preset optimization value; When the satellite antenna beam optimization coefficient is less than the first preset satellite antenna beam optimization coefficient, the product 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 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 of the current antenna element phase and the third preset optimization value is determined as the target antenna element phase of the satellite antenna.

8. A satellite antenna beam optimization system, applied to the satellite antenna beam optimization method as described in any one of claims 1-7, characterized in that, include: The set determination module is used to acquire multiple real-time received signal strengths of the satellite antenna based on a preset time, perform a qualification analysis on all real-time received signal strengths, and determine the set of real-time received signal strengths based on the analysis results. The signal partitioning module is used to determine the high signal strength and low signal strength in the real-time received signal strength set, and to distinguish 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. The coefficient calculation module is used 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 based on all the relative real-time received signal strength factors. The beam optimization module is used 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, the beam optimization strategy of the satellite antenna is set according to the satellite antenna beam optimization coefficient.

Images