CN115459811A - Beam optimization method and device based on multi-beam feed array arrangement - Google Patents
Beam optimization method and device based on multi-beam feed array arrangement Download PDFInfo
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- CN115459811A CN115459811A CN202211417498.2A CN202211417498A CN115459811A CN 115459811 A CN115459811 A CN 115459811A CN 202211417498 A CN202211417498 A CN 202211417498A CN 115459811 A CN115459811 A CN 115459811A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0408—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas using two or more beams, i.e. beam diversity
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01Q—ANTENNAS, i.e. RADIO AERIALS
- H01Q21/00—Antenna arrays or systems
- H01Q21/0006—Particular feeding systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1851—Systems using a satellite or space-based relay
- H04B7/18513—Transmission in a satellite or space-based system
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The application relates to a beam optimization method based on multi-beam feed source array arrangement, which directly enlarges a service area in a mixed arrangement mode of independent unit feed sources and multi-element sub-array feed sources without increasing channels or enlarging a coverage area by increasing the distance between the feed sources and sacrificing the gain of the coverage area; the accurate control of the beam service area and the gain is realized, so that the beam coverage and the gain index of the multi-beam antenna applied to the mobile communication satellite can meet the requirements.
Description
Technical Field
The application relates to the technical field of antennas, in particular to a beam optimization method and device based on multi-beam feed array arrangement.
Background
In recent years, the development of stationary orbit mobile communication satellites has been started domestically. The service area of a mobile communication satellite is generally composed of a plurality of beams, and a multi-beam antenna is a core technology of a stationary orbit mobile communication satellite. The main performance of the multi-beam antenna is assessed, wherein the main performance comprises service area edge gain G, service area coverage rate meeting gain requirements and carrier-to-interference ratio C/I of common-frequency beams, the service area coverage rate meeting the gain requirements is determined by feed source arrangement and the number of feed source arrays, and therefore the number and the arrangement mode of the feed source arrays are key indexes for reflecting the service area coverage rate.
Due to the limitation of space and energy on a satellite platform, strict requirements are imposed on the load and the volume, weight and power consumption of the front end of the load, and the aim is to save and increase efficiency. Because the number of the high-power receiving and transmitting shared channels of the communication satellite is limited, the number of the feed source arrays is limited, and the size of a service area is also limited. In the case of the limited number of feed channels, the service area is enlarged, and the current common method is to increase the feed distance, which will lead to the decrease of the beam gain and the G/T value of the service area and the deterioration of the C/I.
Disclosure of Invention
In order to overcome at least one defect in the prior art, the application provides a beam optimization method and device based on multi-beam feed array configuration.
In a first aspect, a beam optimization method based on multi-beam feed array arrangement is provided, including:
dividing a service area into a main service area and an extended service area; the main service area and the extended service area both comprise a plurality of subunits, and the service area comprises a plurality of beams;
determining a plurality of independent unit feed sources of a main service area and a plurality of multi-element subarray feed sources of an extended service area aiming at each wave beam, wherein the sum of the number of the plurality of independent unit feed sources and the number of the plurality of multi-element subarray feed sources is equal to the number of channels of the service area; each independent unit feed source corresponds to one subunit, and each multi-element sub-array feed source comprises a plurality of subunits in the extended service area;
mapping independent unit directional diagrams of a plurality of independent unit feed sources to a feed source array coordinate system to obtain a plurality of independent unit feed source array directional diagrams;
mapping a multi-element subarray directional diagram of a plurality of multi-element subarray feed sources to a feed source array coordinate system to obtain a plurality of multi-element subarray feed source array directional diagrams;
and determining an optimized beam directional diagram according to the multiple independent unit feed source array directional diagrams and the multiple element subarray feed source array directional diagrams.
In one embodiment, determining an optimized beam pattern from a plurality of independent element feed array patterns and a plurality of multi-element sub-array feed array patterns comprises:
constructing a beam pattern optimization formula:
wherein the content of the first and second substances,in order to optimize the beam pattern,in order to be the pitch angle,is the direction of the angle of the azimuth,as independent unit feed sourcesThe individual element feed array pattern of (a),as multiple sub-array feedsThe source array pattern of the multi-element subarrays,Lthe number of feeds for the individual cells,Kthe number of the multi-element subarray feed sources;being independent unit feedsThe excitation coefficient of (a) is,as multiple subarray feed sourcesExcitation coefficient of (d);is the number of the individual element feed,,is the number of the multi-element subarray feed source,;
solving a beam pattern optimization formula, and determining excitation coefficients corresponding to each independent unit feed source and each multi-element subarray feed source respectively;
and obtaining an optimized beam pattern according to the excitation coefficient and the beam pattern optimization formula.
In one embodiment, a plurality of subunits in each of the multivariate subarray feeds are fed in phase with equal amplitude.
In a second aspect, a beam optimization apparatus based on multi-beam feed array arrangement is provided, including:
the service area dividing module is used for dividing the service area into a main service area and an extended service area; the main service area and the extended service area comprise a plurality of subunits; the service area includes a plurality of beams;
the feed source determining module is used for determining a plurality of independent unit feed sources of a main service area and a plurality of multi-element subarray feed sources of an extended service area aiming at each wave beam, wherein the sum of the number of the independent unit feed sources and the number of the multi-element subarray feed sources is equal to the number of channels of the service area; each independent unit feed source corresponds to one subunit, and each multi-element sub-array feed source comprises a plurality of subunits in the extended service area;
the independent unit directional diagram mapping module is used for mapping independent unit directional diagrams of a plurality of independent unit feed sources to a feed source array coordinate system to obtain a plurality of independent unit feed source array directional diagrams;
the multi-element subarray directional diagram mapping module is used for mapping the multi-element subarray directional diagrams of the multi-element subarray feed sources to a feed source array coordinate system to obtain a plurality of multi-element subarray feed source array directional diagrams;
and the beam optimization module is used for determining an optimized beam pattern according to the multiple independent unit feed source array directional diagrams and the multiple element subarray feed source array directional diagrams.
In one embodiment, the beam optimization module is further to:
constructing a beam pattern optimization formula:
wherein the content of the first and second substances,in order to optimize the beam pattern,in order to be the pitch angle,is the direction of the angle of the azimuth,as independent unit feed sourcesThe direction diagram of the independent unit feed array is shown,as multiple subarray feed sourcesThe source array pattern of the multi-element subarrays,Lthe number of feeds for the individual cells,Kthe number of the multi-element subarray feed sources;as independent unit feed sourcesThe excitation coefficient of (a) is,as multiple subarray feed sourcesThe excitation coefficient of (a);is the number of the individual element feed,,is the number of the multi-element subarray feed source,;
solving a beam pattern optimization formula, and determining excitation coefficients corresponding to each independent unit feed source and each multi-element sub-array feed source respectively;
and obtaining an optimized beam pattern according to the excitation coefficient and the beam pattern optimization formula.
In one embodiment, a plurality of sub-elements in each of the plurality of multivariate sub-array feeds are fed with equal amplitude in phase.
In a third aspect, a computer-readable storage medium is provided, where a computer program is stored, and when the computer program is executed by a processor, the method for optimizing beams based on multi-beam feed array arrangement is implemented.
Compared with the prior art, the method has the following beneficial effects:
(1) The method overcomes the defects of the prior art, the coverage area is enlarged without increasing channels or sacrificing the gain of the coverage area by increasing the distance between the feed sources, but the service area is directly enlarged in a mixed arrangement mode of the independent unit feed sources and the multi-element subarray feed sources, and the coverage range of the wave beam realized by the method can reach 130% of the prior art;
(2) The method and the device realize accurate control of the beam service area and the gain, thereby ensuring that the beam coverage and the gain index of the multi-beam antenna applied to the mobile communication satellite meet the requirements.
Drawings
The present application may be better understood by reference to the following description taken in conjunction with the accompanying drawings, which are incorporated in and form a part of this specification, and the following detailed description. In the drawings:
fig. 1 is a block flow diagram illustrating a beam optimization method based on multi-beam feed array arrangement according to an embodiment of the present application;
figure 2 shows a multi-beam coverage zone schematic according to an embodiment of the present application;
figure 3 illustrates a multi-beam feed array layout pattern in accordance with embodiments of the present application;
figure 4 shows a multi-beam feed array layout of a prior art method;
FIG. 5 illustrates a graph comparing a sub-beam footprint with a sub-beam footprint of a prior method in accordance with an embodiment of the present application;
fig. 6 shows a block diagram of a beam optimization device based on multi-beam feed array arrangement according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described hereinafter with reference to the accompanying drawings. In the interest of clarity and conciseness, not all features of an actual embodiment are described in the specification. It will of course be appreciated that in the development of any such actual embodiment, numerous implementation-specific decisions may be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which will vary from one implementation to another.
Here, it should be further noted that, in order to avoid obscuring the present application with unnecessary details, only the device structure closely related to the solution according to the present application is shown in the drawings, and other details not so related to the present application are omitted.
It is to be understood that the application is not limited to the described embodiments, since the description proceeds with reference to the drawings. In this context, embodiments may be combined with each other, features may be replaced or borrowed between different embodiments, one or more features may be omitted in one embodiment, where feasible.
Aiming at the problems that increasing the distance between feed sources in the prior art causes the reduction of the beam gain and the G/T value of a service area and the deterioration of the C/I value, the application provides a beam optimization method based on multi-beam feed source array arrangement.
Fig. 1 is a flow chart illustrating a beam optimization method based on multi-beam feed array arrangement according to an embodiment of the present application, the method starts with step S110, and a service area is divided into a primary service area and an extended service area according to a server requirement; the main service area and the extended service area each include a plurality of subunits. And selecting geometric parameters of the antennas for arrangement, wherein the number of channels in the service area is M, and N feed sources are required for covering the main service area and the extended service area, wherein N is greater than M.
Then, in step S120, for each beam, a plurality of independent unit feeds of the main service area and a plurality of multi-element subarray feeds of the extended service area are determined, wherein the sum of the number of the plurality of independent unit feeds and the number of the plurality of multi-element subarray feeds is equal to the number of channels of the service area; each independent unit feed source corresponds to one subunit, each multi-element sub-array feed source comprises a plurality of subunits in an extended service area, and the plurality of subunits in each multi-element sub-array feed source are fed in the same-amplitude and same-phase manner; the feed source of the main service area needs to ensure that the feed source works independently, so that a plurality of independent unit feed sources are arranged in the main service area, each independent unit feed source corresponds to one subunit, and the number of the independent unit feed sources is L; combining a plurality of subunits of the extended service area, and replacing the subunits with multi-element subarray feed sources, wherein each multi-element subarray feed source comprises a plurality of subunits in the extended service area, the number of the multi-element subarray feed sources is K, and L + K = M; numbering the independent unit feed sources and the multi-element subarray feed sources and outputting the position of each feed source, wherein the independent unit feed sources are numbered as,(ii) a The number of the multi-element subarray feed source is,. With multiple subarrays of feed sourcesAs an example, a multi-element subarray feed sourceThe subunit number in is noted,,…,(multiple subarray feedContaining s subunits), multiple element subarray feed sourcePosition in the feed arrayThe method comprises the following steps of (1) taking; in one embodiment, a multi-element subarray feed sourceA plurality of subunits in the feed line are fed with constant amplitude in phase;
then, in step S130, the independent element patterns of the plurality of independent element feeds are mappedMapping to the coordinate system of the feed source array to obtain the directional diagram of the feed source array of a plurality of independent units,In order to be the pitch angle,is the azimuth;
then, in step S140, the multi-element subarray directional diagram of the plurality of multi-element subarray feeds is formedMapping to an array of feed coordinatesObtaining a plurality of multi-element subarray feed source array directional diagrams(ii) a In the step, a multi-element subarray feed source is establishedJ =1,2, \ 8230, independent model of K, in subunitsThe phase center of the first phase is taken as a reference, and a multi-element subarray directional diagram is outputAccording to the subunitPosition coordinates in the feed array willMapping to the coordinate system of the feed source array to obtain a plurality of multi-element sub-array feed source array directional diagrams;
Then, in step S150, a plurality of independent element feed array patterns are obtainedAnd a plurality of multi-element subarray feed source array directional diagramsAnd determining an optimized beam pattern.
In the embodiment, a method of hybrid arrangement of the independent unit feed source and the multi-element subarray feed source is adopted for each beam, the service area is expanded under the condition that channels are not increased, and the service area of the multi-beam antenna is effectively expanded on the premise that the gain and various indexes of the main service area are ensured on the premise of utilizing the existing capacity of the satellite platform.
In one embodiment, determining an optimized beam pattern from a plurality of independent element feed array patterns and a plurality of multi-element sub-array feed array patterns comprises:
constructing a beam pattern optimization formula:
wherein, the first and the second end of the pipe are connected with each other,in order to optimize the beam pattern,in order to be the pitch angle,is the azimuth;as independent unit feed sourcesThe direction diagram of the independent unit feed array is shown,as multiple sub-array feedsThe multi-element subarray feed source array directional diagram; l is the number of independent unit feeds, and K is the number of multi-element sub-array feeds;as independent unit feed sourcesThe excitation coefficient of (a) is,as multiple subarray feed sourcesThe excitation coefficient of (2).
Solving a beam pattern optimization formula, and determining excitation coefficients corresponding to each independent unit feed source and each multi-element subarray feed source respectively; here, the Minmax method or existing commercial software may be used to solve the beam pattern optimization equation.
And then, obtaining an optimized beam pattern according to the excitation coefficient and the beam pattern optimization formula. After the excitation coefficients corresponding to each independent unit feed source and each multi-element sub-array feed source are obtained, an optimized beam pattern can be obtained according to a beam pattern optimization formula.
In one embodiment, fig. 2 illustrates a multi-beam coverage zone diagram according to an embodiment of the present application. In this embodiment, a certain mobile communication satellite multi-beam service area requires as shown in fig. 2, the number of system channels is 64, and with the method provided by the present application, the number of independent unit feed sources is L =40, the number of multi-element sub-array feed sources is K =24, including 2-element sub-arrays, 3-element sub-arrays, and 4-element sub-arrays, and L + K =64; fig. 3 shows a layout of a multi-beam feed array according to an embodiment of the present application, each circle in fig. 3 represents a subunit, numbers in the circles represent numbers of the subunits, and a multi-element sub-array feed 4# is taken as an example, where the numbers of the subunits are denoted by 4-1, 4-2, 4-3, and 4-4 (the multi-element sub-array feed 4# includes 4 subunits), the position of the multi-element sub-array feed 4# in the feed array is based on 4-1, and the 4 subunits of the multi-element sub-array feed 4# are fed with equal amplitude and in phase;
fig. 4 shows a multi-beam feed array layout of a prior art method, fig. 5 shows a graph comparing a sub-beam footprint according to an embodiment of the present application with a sub-beam footprint of a prior art method, according to fig. 5, where the solid lines are the sub-beam footprints of an embodiment of the present application and the dashed lines are the sub-beam footprints of the prior art method, with the beam footprint of the method of the present application extending to 130% of the prior art method.
With the same inventive concept as the beam optimization method based on multi-beam feed array arrangement in the embodiment of the present application, there is provided a beam optimization apparatus based on multi-beam feed array arrangement, and fig. 6 shows a structural block diagram of the beam optimization apparatus based on multi-beam feed array arrangement in the embodiment of the present application, the apparatus includes:
a service area division module 610 for dividing the service area into a primary service area and an extended service area; the main service area and the extended service area comprise a plurality of subunits; the service area includes a plurality of beams;
a feed source determining module 620, configured to determine, for each beam, a plurality of independent unit feed sources in the main service area and a plurality of multi-element subarray feed sources in the extended service area, where a sum of the number of the independent unit feed sources and the number of the multi-element subarray feed sources is equal to the number of channels in the service area; each independent unit feed source corresponds to one subunit, and each multi-element sub-array feed source comprises a plurality of subunits in the extended service area;
an independent unit pattern mapping module 630, configured to map independent unit patterns of multiple independent unit feed sources to a feed source array coordinate system, so as to obtain multiple independent unit feed source array patterns;
a multi-element subarray directional diagram mapping module 640, configured to map a multi-element subarray directional diagram of a plurality of multi-element subarray feed sources to a feed source array coordinate system, so as to obtain a plurality of multi-element subarray feed source array directional diagrams;
and a beam optimization module 650, configured to determine an optimized beam pattern according to the multiple independent unit feed array directional diagrams and the multiple sub-array feed array directional diagrams.
In the embodiment, a method of hybrid arrangement of the independent unit feed source and the multi-element subarray feed source is adopted for each beam, the service area is expanded under the condition that channels are not increased, and the service area of the multi-beam antenna is effectively expanded on the premise that the gain and various indexes of the main service area are ensured on the premise of utilizing the existing capacity of the satellite platform.
In one embodiment, the beam optimization module 650 is further configured to:
constructing a beam pattern optimization formula:
wherein the content of the first and second substances,in order to optimize the beam pattern,in order to be the pitch angle,is the azimuth;as independent unit feed sourcesThe direction diagram of the independent unit feed array is shown,as multiple subarray feed sourcesThe multi-element subarray feed source array directional diagram; l is the number of independent unit feeds, and K is the number of multi-element sub-array feeds;as independent unit feed sourcesThe excitation coefficient of (a) is,as multiple sub-array feedsThe excitation coefficient of (2).
Solving a beam pattern optimization formula, and determining excitation coefficients corresponding to each independent unit feed source and each multi-element subarray feed source respectively; here, the beam pattern optimization formula can be solved using the Minmax method or existing commercial software.
And then, obtaining an optimized beam pattern according to the excitation coefficient and the beam pattern optimization formula. After the excitation coefficients corresponding to each independent unit feed source and each multi-element sub-array feed source are obtained, an optimized beam pattern can be obtained according to a beam pattern optimization formula.
The embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method for optimizing beams based on multi-beam feed array configuration is implemented.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for various embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (7)
1. A beam optimization method based on multi-beam feed array configuration is characterized by comprising the following steps:
dividing a service area into a main service area and an extended service area; the main service area and the extended service area both comprise a plurality of subunits, and the service area comprises a plurality of beams;
determining, for each of the beams, a plurality of independent element feeds of the main service area and a plurality of multi-element subarray feeds of the extended service area, wherein a sum of the number of the plurality of independent element feeds and the number of the plurality of multi-element subarray feeds is equal to a number of channels of the service area; each independent unit feed source corresponds to a subunit, and each multivariate subarray feed source comprises a plurality of subunits in the extended service area;
mapping independent unit directional diagrams of the independent unit feed sources to a feed source array coordinate system to obtain a plurality of independent unit feed source array directional diagrams;
mapping the multi-element subarray directional diagrams of the multi-element subarray feed sources to a feed source array coordinate system to obtain a plurality of multi-element subarray feed source array directional diagrams;
and determining an optimized beam directional diagram according to the independent unit feed source array directional diagrams and the multiple element subarray feed source array directional diagrams.
2. The method of claim 1, wherein determining an optimized beam pattern from the plurality of individual element feed array patterns and the plurality of multi-element sub-array feed array patterns comprises:
constructing a beam pattern optimization formula:
wherein the content of the first and second substances,in order to optimize the beam pattern,in order to be the pitch angle,in order to be the azimuth angle,as independent unit feed sourcesThe direction diagram of the independent unit feed array is shown,as multiple subarray feed sourcesThe source array pattern of the multi-element subarrays,Lthe number of feeds for the individual cells,Kthe number of the multi-element sub-array feeds;as independent unit feed sourcesThe excitation coefficient of (a) is,as multiple sub-array feedsThe excitation coefficient of (a);is the number of the independent element feed source,,is the number of the multi-element subarray feed source,;
solving the beam pattern optimization formula, and determining the excitation coefficients corresponding to each independent unit feed source and each multi-element sub-array feed source respectively;
and obtaining an optimized beam pattern according to the excitation coefficient and the beam pattern optimization formula.
3. The method of claim 1, wherein a plurality of sub-elements in each of the multiple sub-array feeds are fed in phase with equal amplitude.
4. A beam optimizing device based on multi-beam feed array arrangement is characterized by comprising:
the service area dividing module is used for dividing the service area into a main service area and an extended service area; the main service area and the extended service area both comprise a plurality of subunits; the service area comprises a plurality of beams;
a feed source determining module, configured to determine, for each beam, a plurality of independent unit feed sources of the main service area and a plurality of multi-element subarray feed sources of the extended service area, where a sum of the number of independent unit feed sources and the number of multi-element subarray feed sources is equal to the number of channels of the service area; each independent unit feed source corresponds to a subunit, and each multivariate subarray feed source comprises a plurality of subunits in the extended service area;
the independent unit directional diagram mapping module is used for mapping the independent unit directional diagrams of the independent unit feed sources to a feed source array coordinate system to obtain a plurality of independent unit feed source array directional diagrams;
the multi-element subarray directional diagram mapping module is used for mapping the multi-element subarray directional diagrams of the multiple multi-element subarray feed sources to a feed source array coordinate system to obtain multiple multi-element subarray feed source array directional diagrams;
and the beam optimization module is used for determining an optimized beam pattern according to the independent unit feed source array pattern and the multiple element subarray feed source array pattern.
5. The apparatus of claim 4, wherein the beam optimization module is further to:
constructing a beam pattern optimization formula:
wherein, the first and the second end of the pipe are connected with each other,in order to optimize the beam pattern of the beam,in order to be the pitch angle,in order to be the azimuth angle,as independent unit feed sourcesThe direction diagram of the independent unit feed array is shown,as multiple subarray feed sourcesThe source array pattern of the multi-element subarrays,Lthe number of feeds for the individual cells,Kthe number of the multi-element sub-array feeds;as independent unit feed sourcesThe excitation coefficient of (a) is,as multiple subarray feed sourcesThe excitation coefficient of (a);is the number of the individual element feed,,is the number of the multi-element subarray feed source,;
solving the beam pattern optimization formula, and determining the excitation coefficients corresponding to each independent unit feed source and each multi-element sub-array feed source respectively;
and obtaining an optimized beam pattern according to the excitation coefficient and the beam pattern optimization formula.
6. The apparatus of claim 4, wherein a plurality of sub-elements in each of the multivariate subarray feeds are fed in phase with equal amplitude.
7. A computer-readable storage medium, storing a computer program which, when executed by a processor, implements the method for beam optimization based on an array of multi-beam feeds according to any one of claims 1-3.
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