Remote sensing satellite data receiving antenna optimization design method, equipment, medium and product

Abstract

The invention discloses a remote sensing satellite data receiving antenna optimization design method and device, a medium and a product, and the method comprises the steps: calling a slope distance analysis model to calculate a slope distance between a remote sensing satellite and a data receiving system according to a user-defined remote sensing satellite data receiving duration demand and in combination with preset remote sensing satellite orbit data; calling an elevation angle analysis model according to the slope distance to analyze and calculate a receiving elevation angle; calling a receiving G / T value analysis model, comprehensively analyzing a slope distance, a receiving elevation angle and a data downloading rate, and determining a receiving G / T value demand when the link is stable; and calling a remote sensing satellite dispersion radius and a receiving multi-beam analysis model, determining the dispersion radius according to the receiving elevation angle, and determining the maximum satellite number in a regression period under the limitation of the elevation angle to obtain a simultaneous multi-beam number index. According to the method, the application scene and the system efficiency are taken as the fundamental principle, and the conversion from experience driving to application driving and the optimal solution of the overall performance of the system are realized.

Description

Technical Field

[0001] This invention relates to the field of remote sensing satellite information reception, specifically to methods, equipment, media, and products for optimizing the design of remote sensing satellite data receiving antennas. Background Technology

[0002] The statements in this section are provided only as background information in connection with this disclosure and may not constitute prior art.

[0003] As a core component of space infrastructure design, remote sensing satellites profoundly impact the progress of Earth science, resource management, and commercial activities. With a coverage radius of thousands of kilometers, remote sensing satellites can operate 24 / 7, monitoring key areas of global concern. In recent years, driven by technological advancements, capital investment, and market demand, the field of remote sensing satellites is undergoing a profound transformation. By deploying a large number of low-Earth orbit small satellites to form constellations, high-frequency revisits to any location globally are achieved, enabling dynamic monitoring and emergency response. Improved data processing capabilities have enabled automated decoding of massive amounts of data, significantly increasing the efficiency of converting raw data into final information products. To meet the minute-level response requirements in disaster emergencies and other scenarios, remote sensing satellite information can be directly transmitted to the requesting party via radio frequency links. Therefore, there is an urgent need in this field for design methods for novel receiving antennas capable of providing comprehensive and reliable reception of such information, thereby driving the evolution of remote sensing satellite information towards real-time and universal accessibility.

[0004] Driven by the aforementioned new technological demands, the design methods for receiving antennas in data receiving systems that receive remote sensing satellite signals have not yet been perfected. Therefore, this paper proposes a design method for core performance indicators of data receiving antennas for receiving remote sensing satellite data in typical application scenarios, focusing on the design of the receiving elevation angle, the number of receiving beams, and the receiving G / T value. Receiving antennas designed according to this method can meet the data receiver's requirements for receiving remote sensing satellite data, enabling efficient information customization services for the data receiving system through the received remote sensing satellite data. Summary of the Invention

[0005] The purpose of this invention is to address the current lack of breakthroughs in the design methods of remote sensing satellite data receiving antennas. Traditional design paradigms heavily rely on engineers' experience and lack close correlation with actual application scenarios and system performance. This leads to technical problems such as over-design of antenna specifications resulting in cost waste or under-design that fails to meet overall system performance requirements. This invention provides optimized design methods, equipment, media, and products for remote sensing satellite data receiving antennas. It effectively solves the problem that the core specifications of data receiving antennas cannot be adaptively adapted to reception duration and application scenarios, realizing a shift from "experience-driven" to "application-driven" approaches. Thus, while ensuring that data reception requirements are met, it achieves the optimal solution in terms of system performance, cost, and power consumption.

[0006] The technical solution of the present invention is as follows: Optimization design methods for remote sensing satellite data receiving antennas based on performance and application scenarios include: Based on the user-defined requirements for the reception duration of remote sensing satellite data, the slant range analysis model is invoked; the slant range analysis model calculates the slant range between the remote sensing satellite and the data receiving system based on preset remote sensing satellite orbit data. The elevation angle analysis model is invoked, and the receiving elevation angle of the data receiving antenna is analyzed and calculated based on the slant range; The receiving G / T value analysis model is invoked to comprehensively analyze the slant range, the receiving elevation angle, and the information rate of the remote sensing satellite information distribution, and to determine the receiving G / T value requirement of the data receiving antenna when the link is stable. The remote sensing satellite dispersion radius analysis model is invoked, and the dispersion radius of the remote sensing satellite is determined based on the received elevation angle. The receiving multibeam analysis model is invoked, and based on the dispersion radius, the maximum number of satellites falling within the receiving beam range during the entire remote sensing satellite return cycle under the limitation of the receiving elevation angle is determined, which serves as the simultaneous multibeam count index of the data receiving antenna.

[0007] Further, the slant range between the remote sensing satellite and the data receiving system is calculated, including: Based on user-defined reception duration of remote sensing satellite data Calculate the reception time of remote sensing satellites Maximum arc length within the range ; From arc length Inversely deduce the geocentric angle Regarding arc length The expression; According to the Law of Cosines, and substituting the central angle... Regarding arc length The expression is used to calculate the slant range between the remote sensing satellite and the data receiving system. .

[0008] Furthermore, the calculation of the remote sensing satellite's reception duration Maximum arc length within the range ,include:

[0009] The geocentric angle Regarding arc length The expression is as follows:

[0010] in: This refers to the orbital altitude of the remote sensing satellite. The radius is the Earth's radius.

[0011] Furthermore, the calculation of the slant range between the remote sensing satellite and the data receiving system... ,include: .

[0012] Further, the elevation angle of the data receiving antenna is calculated, including:

[0013] In the formula: This refers to the elevation angle of the data receiving antenna.

[0014] Furthermore, the required received G / T value for the data receiving antenna when the link is stable includes:

[0015] in: For demodulation threshold; It is the Bolsmann constant; This is the ratio of energy per bit to noise power spectral density. This refers to the download rate of remote sensing satellite data. The effective radiated power of the downlink signal for remote sensing satellite data; For remote sensing satellite signals to be transmitted to the data receiving system via slant range Caused distance reduction; This is the sum of all other losses in the system.

[0016] Furthermore, determining the dispersion radius of the remote sensing satellite includes:

[0017] in: This represents the dispersion radius of the remote sensing satellite.

[0018] The present invention also proposes an electronic device, comprising: At least one processor; and a memory communicatively connected to said at least one processor; The memory stores instructions that can be executed by the at least one processor, and the at least one processor executes the instructions stored in the memory to perform the method described above.

[0019] The present invention also proposes a computer-readable storage medium for storing instructions that, when executed, cause the method described above to be implemented.

[0020] The present invention also proposes a computer program product, which implements the above-described method when executed by a processor.

[0021] Compared with existing technologies, the advantages of this invention are: 1. The remote sensing satellite data receiving antenna optimization design method provided by this invention, oriented towards performance and application scenarios, effectively improves design efficiency, shortens the R&D cycle, and frees it from the heavy reliance on engineers' experience in traditional antenna design. It is strictly guided by application needs and closely linked to system performance, avoiding problems such as over-design or under-design of antenna specifications. This ensures that antenna specifications meet the overall system performance requirements without wasting cost and power consumption, achieving the optimal solution for overall system performance. Its advantage lies in fully considering the performance requirements of the data receiving system in different application scenarios. Through application guidance in typical scenarios, it fundamentally changes the paradigm of traditional antenna specification design, realizing a shift from "experience-driven" to "application-driven," bringing comprehensive improvements in efficiency, cost, and performance.

[0022] 2. The method of the present invention is applicable to platforms that have the requirement of receiving remote sensing satellite data. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments recorded in the embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0024] Figure 1 This is a flowchart illustrating the optimized design method for remote sensing satellite data receiving antennas based on performance and application scenarios according to the present invention. Figure 2 This is a longitudinal section of the schematic diagram of the remote sensing satellite data receiving model involved in this invention; Figure 3 This is a cross-section of the schematic diagram relating the dispersion radius of remote sensing satellites to the data receiving beam principle involved in this invention; Figure 4 This is a simulation diagram of the number of remote sensing satellite constellations that fall within the receiving beam of the receiving antenna at a specified elevation angle throughout the entire regression cycle, as per the present invention. Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0025] It should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0026] The features and performance of the present invention will be further described in detail below with reference to embodiments.

[0027] Example 1 This embodiment proposes an optimized design method for remote sensing satellite data receiving antennas based on performance and application scenarios. Its core lies in taking application scenarios and system performance as fundamental principles, applying them throughout the entire design process for receiving elevation angle, receiving G / T value, and simultaneous multi-beam capability, thus achieving a transformation from passive adaptation to proactive optimization. The receiving elevation angle is transformed from a fixed technical parameter into one that is relevant to application scenarios and user-focused performance, enabling adaptive adaptation to scenarios and linking it to system performance. The three previously relatively independent core indicators—receiving elevation angle, receiving G / T value, and simultaneous multi-beam capability—are organically integrated into a smart, adaptive, and high-efficiency overall solution, upgrading remote sensing satellites into intelligent information hubs empowering various industries.

[0028] The prerequisite for applying this method is that the receiving frequency band and polarization of the data receiving antenna can match the characteristics of the downlink signal from the remote sensing satellite, and the installation position of the data receiving antenna should ensure that the receiving beam points to the sky and that there is no low-elevation signal obstruction.

[0029] In this embodiment, for details, please refer to... Figure 1 The method for optimizing the design of remote sensing satellite data receiving antennas based on performance and application scenarios includes the following steps: Based on the user-defined requirements for the reception duration of remote sensing satellite data, the slant range analysis model is invoked; the slant range analysis model calculates the slant range between the remote sensing satellite and the data receiving system based on preset remote sensing satellite orbit data. The elevation angle analysis model is invoked, and the receiving elevation angle of the data receiving antenna is analyzed and calculated based on the slant range; The receiving G / T value analysis model is invoked to comprehensively analyze the slant range, the receiving elevation angle, and the information rate of the remote sensing satellite information distribution, and to determine the receiving G / T value requirement of the data receiving antenna when the link is stable. The remote sensing satellite dispersion radius analysis model is invoked, and the dispersion radius of the remote sensing satellite is determined based on the received elevation angle. The receiving multibeam analysis model is invoked, and based on the dispersion radius, the maximum number of satellites falling within the receiving beam range during the entire remote sensing satellite return cycle, under the constraint of the receiving elevation angle, is determined. This number serves as the simultaneous multibeam count index for the data receiving antenna; that is, determining the maximum possible number of remote sensing satellites within the receiving beam range under the constraint of the receiving elevation angle of the remote sensing satellite data receiving antenna. In this embodiment, it should be noted that those skilled in the art can construct the receiving multibeam analysis model based on the above description without inventive effort. The receiving multibeam analysis model is not described in detail here, and its output results are submitted to [the relevant authority / organization]. Figure 4 As shown.

[0030] In this embodiment, specifically, calculating the slant distance between the remote sensing satellite and the data receiving system includes: Based on user-defined reception duration of remote sensing satellite data Calculate the reception time of remote sensing satellites Maximum arc length within the range :

[0031] From arc length Inversely deduce the geocentric angle Regarding arc length The expression:

[0032] in: This refers to the orbital altitude of the remote sensing satellite. The radius of the Earth; According to the law of cosines, the slant distance The expression is:

[0033] Take into the Earth's core Regarding arc length The expression for slant distance The final expression is:

[0034] In this embodiment, specifically, according to the law of cosines, the expression for the receiving elevation angle of the remote sensing satellite data receiving antenna is as follows:

[0035] Substitute the slope distance Then the expression for the angle of elevation is:

[0036] In the formula: This refers to the elevation angle of the data receiving antenna.

[0037] In this embodiment, specifically, the required received G / T value of the data receiving antenna when the link is stable includes:

[0038] in: To demodulate the threshold, the unit ; Here is the Bolsmann constant, in dBW / Hz; Take 2.4, unit ; This refers to the downlink rate of remote sensing satellite data, measured in bps. The effective radiated power of the downtransmitted signal from remote sensing satellite data, expressed in dBW; For remote sensing satellite signals to be transmitted to the data receiving system via slant range Caused distance attenuation, in dB; This represents the sum of other system losses, expressed in dB.

[0039] In this embodiment, the dispersion radius of the remote sensing satellite is specifically calculated, and its expression is as follows:

[0040] Substituting into the formula for calculating the receiving elevation angle, the final expression for the dispersion radius of the remote sensing satellite is:

[0041] in: This represents the dispersion radius of the remote sensing satellite.

[0042] After describing the above steps for the optimization design method of remote sensing satellite data receiving antennas oriented towards performance and application scenarios, the three core indicators of the remote sensing satellite data receiving antenna—receiving elevation angle, receiving G / T value, and simultaneous multi-beam capability—can be determined.

[0043] Based on the same technical concept, embodiments of the present invention also provide an electronic device that can implement the performance- and application-scenario-oriented remote sensing satellite data receiving antenna optimization design method provided in the above embodiments of the present invention. In one embodiment, the electronic device can be a server, a terminal device, or other electronic devices. Figure 5 As shown, the electronic device may include: At least one processor and a memory connected to the at least one processor. In this embodiment of the invention, the specific connection medium between the processor and the memory is not limited. Figure 5 The example used is the connection between the processor and memory via a bus. The bus... Figure 5 The connections between other components are indicated by thick lines and are for illustrative purposes only, not as limiting information. Buses can be divided into address buses, data buses, control buses, etc., but for ease of representation, [the specific bus type is not shown here]. Figure 5 The processor is represented by a single thick line, but this does not imply that there is only one bus or one type of bus. Alternatively, a processor can also be called a controller; there are no restrictions on the name.

[0044] In this embodiment of the invention, the memory stores instructions executable by at least one processor. By executing the instructions stored in the memory, the at least one processor can execute the performance- and application-scenario-oriented remote sensing satellite data receiving antenna optimization design method discussed above. The processor can implement... Figure 5 The functions of each module in the device shown.

[0045] The processor is the control center of the device. It can connect to various parts of the control device through various interfaces and lines. By running or executing instructions stored in memory and calling data stored in memory, it can monitor the device's various functions and process data, thereby enabling overall monitoring of the device.

[0046] In an alternative design, the processor may include one or more processing units. The processor may integrate an application processor and a modem processor, wherein the application processor primarily handles the operating system, user interface, and applications, while the modem processor primarily handles wireless communication. It is understood that the modem processor may also not be integrated into the processor. In some embodiments, the processor and memory may be implemented on the same chip; in some embodiments, they may also be implemented separately on separate chips.

[0047] The processor can be a general-purpose processor, such as a CPU, digital signal processor, application-specific integrated circuit, field-programmable gate array or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the performance- and application-scenario-oriented remote sensing satellite data receiving antenna optimization design method disclosed in the embodiments of this invention can be directly manifested as being executed by a hardware processor, or executed by a combination of hardware and software modules within the processor.

[0048] Memory, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. Memory can include at least one type of storage medium, such as flash memory, hard disk, multimedia cards, card-type memory, random access memory (RAM), static random access memory (SRAM), programmable read-only memory (PROM), read-only memory (ROM), and electrically erasable programmable read-only memory (EPROM). Only memory (EEPROM), magnetic storage, magnetic disks, optical disks, etc. A memory is any other medium capable of carrying or storing desired program code in the form of instructions or data structures, and accessible by a computer, but is not limited thereto. The memory in embodiments of this invention can also be a circuit or any other device capable of performing storage functions for storing program instructions and / or data.

[0049] By designing and programming the processor, the code corresponding to the performance- and application-scenario-oriented remote sensing satellite data receiving antenna optimization design method described in the foregoing embodiments can be embedded into the chip, enabling the chip to execute the steps of the methods described in the foregoing embodiments during runtime. How to design and program the processor is a technique well-known to those skilled in the art and will not be elaborated upon here.

[0050] Based on the same inventive concept, embodiments of the present invention also provide a storage medium storing computer instructions that, when executed on a computer, cause the computer to perform the aforementioned method for optimizing the design of remote sensing satellite data receiving antennas based on performance and application scenarios.

[0051] In some alternative embodiments, the present invention also provides that various aspects of the performance- and application-scenario-oriented remote sensing satellite data receiving antenna optimization design method can also be implemented in the form of a program product, which includes program code. When the program product is run on a device, the program code is used to cause the control device to perform the steps in the performance- and application-scenario-oriented remote sensing satellite data receiving antenna optimization design method according to various exemplary embodiments of the present invention as described above.

[0052] It should be noted that although several units or sub-units of the apparatus have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of the invention, the features and functions of two or more units described above can be embodied in one unit. Conversely, the features and functions of one unit described above can be further divided and embodied by multiple units. Furthermore, although the operation of the method of the invention is described in a specific order in the drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0053] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can be implemented in one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs) containing computer-usable program code. The form of a computer program product implemented on ROM, optical memory, etc.

[0054] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a server, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0055] Program code for performing the operations of this invention can be written using any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0056] In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0057] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0058] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0059] Furthermore, in some embodiments, a computer program product is also proposed, which, when executed by a processor, implements the aforementioned performance- and application-scenario-oriented remote sensing satellite data receiving antenna optimization design method.

[0060] Example 2 Example 2 is a specific application of the remote sensing satellite data receiving antenna optimization design method based on performance and application scenarios proposed in Example 1.

[0061] See Figure 1 The optimization design method for remote sensing satellite data receiving antennas, oriented towards performance and application scenarios, involves five steps: First, based on the user-defined input information, namely the duration of remote sensing satellite data reception... (Assuming the orbital altitude and position of the remote sensing satellite are pre-set) The requirement is to call the slant range analysis model to determine the slant range between the remote sensing satellite and the data receiving platform. ; After the slant range is determined, the elevation angle analysis model is called to analyze the receiving elevation angle of the data receiving antenna; After determining the elevation angle of the data receiving antenna, the call will be made. Value analysis model and remote sensing satellite scatter radius analysis model are used to analyze and determine the scatter radius of remote sensing satellites. Then, the receiving multi-beam analysis model was invoked to finally determine the receiving antenna's reception. and the number of simultaneous multi-beams .

[0062] See Figure 2 The Earth's radius and the orbital altitude of the remote sensing satellite are known and constant, and are denoted as follows: and Assuming reception time Multiplied by the satellite's orbital speed The result corresponds to the arc length Reception duration Multiplied by the satellite's orbital speed The result corresponds to the arc length ,therefore , Based on the relationship between arc length and geocentric angle, its expression is:

[0063] The calculation result of the elevation angle is derived from the geocentric angle, and its expression is:

[0064] in: ; The corresponding relationships between the above indicators are described in the following list: Table 1. Correspondence between the above indicators

[0065] See Figure 3 In the picture Defined as the dispersion radius of remote sensing satellites, using Characterizing that N satellites can be distributed within a minimum radius of Inside the circle, This leads to the derivation of the maximum number N of remote sensing satellite constellations falling within the receiving beam of the data receiving antenna during the entire regression cycle, which represents the core indicator of the remote sensing data receiving antenna's simultaneous multi-beam capability.

[0066] After determining the maximum distance between the satellite and the platform Subsequently, based on the link budget model, and under the constraints of the downlink information rate and demodulation threshold of typical signal remote sensing satellites, the core indicator of the remote sensing satellite data receiving antenna, the received G / T value, was analyzed and obtained.

[0067] See Figure 4 In the graph, the horizontal axis represents time, with the maximum time value representing the return period of the remote sensing satellite. The vertical axis represents the number of simultaneous multibeams of the data receiving antenna within the return period of the remote sensing satellite, under the limitation of the receiving elevation angle. The final number of simultaneous multibeams, N, is taken as the maximum value of the simultaneous multibeams in the graph.

[0068] The embodiments described above merely illustrate specific implementation methods of this application, and while the descriptions are detailed and specific, they should not be construed as limiting the scope of protection of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the technical solution of this application, and these modifications and improvements all fall within the scope of protection of this application.

[0069] This background section is provided to generally present the context of the invention. The work of the currently named inventors, the work to the extent described in this background section, and aspects of this section that did not constitute prior art at the time of application are neither expressly nor impliedly acknowledged as prior art to the invention.

Claims

1. A method for optimizing the design of remote sensing satellite data receiving antennas based on performance and application scenarios, characterized in that, include: Based on the user-defined requirements for the reception duration of remote sensing satellite data, the slant range analysis model is invoked; the slant range analysis model calculates the slant range between the remote sensing satellite and the data receiving system based on preset remote sensing satellite orbit data. The elevation angle analysis model is invoked, and the receiving elevation angle of the data receiving antenna is analyzed and calculated based on the slant range; The receiving G / T value analysis model is invoked to comprehensively analyze the slant range, the receiving elevation angle, and the information rate of the remote sensing satellite information distribution, and to determine the receiving G / T value requirement of the data receiving antenna when the link is stable. The remote sensing satellite dispersion radius analysis model is invoked, and the dispersion radius of the remote sensing satellite is determined based on the received elevation angle. The receiving multibeam analysis model is invoked, and based on the dispersion radius, the maximum number of satellites falling within the receiving beam range during the entire remote sensing satellite return cycle under the limitation of the receiving elevation angle is determined, which serves as the simultaneous multibeam quantity index of the data receiving antenna.

2. The method for optimizing the design of remote sensing satellite data receiving antennas based on performance and application scenarios according to claim 1, characterized in that, Calculating the slant distance between the remote sensing satellite and the data receiving system includes: Based on user-defined reception duration of remote sensing satellite data Calculate the reception time of remote sensing satellites Maximum arc length within the range ; From arc length Inversely deduce the geocentric angle Regarding arc length The expression; According to the Law of Cosines, and substituting the central angle... Regarding arc length The expression is used to calculate the slant range between the remote sensing satellite and the data receiving system. .

3. The method for optimizing the design of remote sensing satellite data receiving antennas based on performance and application scenarios according to claim 2, characterized in that, The calculation of remote sensing satellite reception duration Maximum arc length within the range ,include: The geocentric angle Regarding arc length The expression is as follows: in: This refers to the orbital altitude of the remote sensing satellite. The radius is the Earth's radius.

4. The method for optimizing the design of remote sensing satellite data receiving antennas based on performance and application scenarios according to claim 3, characterized in that, The slant distance between the calculated remote sensing satellite and the data receiving system ,include: 。 5. The method for optimizing the design of remote sensing satellite data receiving antennas based on performance and application scenarios according to claim 4, characterized in that, Calculate the elevation angle of the data receiving antenna, including: In the formula: This refers to the elevation angle of the data receiving antenna.

6. The method for optimizing the design of remote sensing satellite data receiving antennas based on performance and application scenarios according to claim 5, characterized in that, The required received G / T value for the data receiving antenna when the link is stable includes: in: For demodulation threshold; It is the Bolsmann constant; This is the ratio of energy per bit to noise power spectral density. This refers to the download rate of remote sensing satellite data. The effective radiated power of the downlink signal for remote sensing satellite data; For remote sensing satellite signals to be transmitted to the data receiving system via slant range Caused distance reduction; This is the sum of all other losses in the system.

7. The method for optimizing the design of remote sensing satellite data receiving antennas based on performance and application scenarios according to claim 6, characterized in that, Determining the dispersion radius of remote sensing satellites includes: in: This represents the dispersion radius of the remote sensing satellite.

8. An electronic device, characterized in that, include: At least one processor; and a memory communicatively connected to the at least one processor; The memory stores instructions executable by the at least one processor, which executes the instructions stored in the memory to perform the method as described in any one of claims 1-7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store instructions that, when executed, cause the method as described in any one of claims 1-7 to be implemented.

10. A computer program product, characterized in that, When the computer program is executed by a processor, it implements the method described in any one of claims 1-7.

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