CN116055275A - Method and device for reducing PAPR of low-orbit satellite based on beam pattern dynamic matching - Google Patents

Method and device for reducing PAPR of low-orbit satellite based on beam pattern dynamic matching Download PDF

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CN116055275A
CN116055275A CN202211639827.8A CN202211639827A CN116055275A CN 116055275 A CN116055275 A CN 116055275A CN 202211639827 A CN202211639827 A CN 202211639827A CN 116055275 A CN116055275 A CN 116055275A
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beam pattern
optimal
dynamic
orbit satellite
phased array
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林文亮
孙晨华
邓中亮
黄锦涛
王珂
刘先勇
刘丽哲
王冬冬
邓耀华
万达
陆一鸣
彭博溢
胡竣赫
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Beijing University of Posts and Telecommunications
CETC 54 Research Institute
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Beijing University of Posts and Telecommunications
CETC 54 Research Institute
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2614—Peak power aspects
    • 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
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
    • 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
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
    • H04B7/0842—Weighted combining
    • H04B7/086—Weighted combining using weights depending on external parameters, e.g. direction of arrival [DOA], predetermined weights or beamforming
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2614—Peak power aspects
    • H04L27/2615—Reduction thereof using coding
    • 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

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  • Signal Processing (AREA)
  • Radio Relay Systems (AREA)
  • Variable-Direction Aerials And Aerial Arrays (AREA)

Abstract

The application provides a low-orbit satellite PAPR reduction method and device based on beam pattern dynamic matching, wherein the method comprises the following steps: acquiring a dynamic low-orbit satellite phased array antenna beam pattern model according to the antenna beam pattern; constructing optimal matching databases of different beam patterns and the corresponding optimal reduction strategies according to the mapping relation; according to the wave beam pattern of the most similar phased array antenna and the optimal matching database, the corresponding multi-user optimal selection coding sequence and multi-user optimal phase rotation combination are obtained; acquiring a control function according to the multi-user optimal selection coding sequence and the multi-user optimal phase rotation combination; establishing a scaling function according to the scheduling period and elevation change; and updating the control function and carrying out power adjustment according to the scaling function to obtain a final beam forming signal. According to the method and the device, the quality of the FBMC waveform can be guaranteed under the phased array agile wave beam, and the peak-to-average ratio is effectively reduced.

Description

Method and device for reducing PAPR of low-orbit satellite based on beam pattern dynamic matching
Technical Field
The present disclosure relates to the field of satellite communications technologies, and in particular, to a method and an apparatus for reducing PAPR of a low orbit satellite based on beam pattern dynamic matching.
Background
The waveform design of the low-orbit satellite internet must take into account the following factors that are significantly different from the ground: 1) The satellite has severe energy utilization efficiency requirements for communication loads due to load and energy limitations. The design of the communication waveform requires that high reliability must be maintained when the communication load is at the maximum upper limit operating state. Because the satellite-borne high-power amplifier (HPA) causes serious nonlinear distortion to signals in a supersaturation area and a saturation area, the waveform design should fully consider suppressing the excessive power input of the HPA; 2) In a signal nonlinear distortion region of the HPA, particularly in a multi-carrier system such as FBMC, OFDM and the like, nonlinear distortion is easy to influence, and output signal distortion is serious; 3) The memory effect of the broadband HPA is serious, the nonlinear distortion of the traditional HPA can be restrained and compensated by adopting a predistortion mode, but the low-orbit satellite channel is difficult to realize real-time feedback processing due to large transmission delay and serious complex fading. Whereas, with respect to OFDM, FBMC concentrates the energy of each subcarrier to the passband through a subband filter bank, so that the case where peak-to-average ratio (PAPR) is too high is more serious than OFDM. The above-described problems with low-orbit satellite internet applications will become more prominent.
In the prior art, due to randomness of sequence symbols, the waveform suppression technology based on the selection sequence mapping needs multiple attempts and iterations to traverse the reduced optimal design, has low efficiency, and the wave beam of the phased array low-orbit satellite is subjected to burst or continuous change in the feed direction due to wave bit scheduling and motion change in the service period. The wave form restraining technology based on phase rotation has high operation complexity and low efficiency when the data speed is high, and the wave beam of the phased array low orbit satellite is changed in a service period due to wave bit scheduling and movement, and the feed direction is changed suddenly or continuously. The peak-to-average ratio suppression based on single carrier or constant envelope modulation requires combining a plurality of single carriers, so that the combined signal is obviously improved, the peak clipping-based waveform suppression technology also changes the power of the coverage ground due to the dynamic change of the phased array low-orbit satellite, and the fixed peak clipping threshold causes the satellite-borne power amplifier to waste energy or the peak clipping to cause serious signal distortion.
Disclosure of Invention
In view of this, embodiments of the present application provide a method and apparatus for reducing PAPR of a low-orbit satellite based on beam pattern dynamic matching, so as to eliminate or improve one or more drawbacks of the prior art.
A first aspect of the present application provides a low-orbit satellite PAPR reduction method based on beam pattern dynamic matching, the method comprising:
constructing an antenna beam pattern model under the conditions of given low-orbit satellite positions and given wave positions according to the ephemeris position function; acquiring a dynamic low-orbit satellite phased array antenna beam pattern model according to the antenna beam pattern;
reducing the PAPR of the FBMC signal according to the corresponding reduction mode by combining a plurality of groups of selection coding sequences and phase rotations under one beam pattern, and calculating and selecting the mode of enabling the PAPR of the FBMC signal to be the lowest and the optimal selection coding sequence and the optimal phase rotation combination used by the mode as an optimal reduction strategy; constructing mapping relations of dynamic optimal selection coding sequences and dynamic optimal phase rotation combinations under different satellite transmitting scenes according to the dynamic low-orbit satellite phased array antenna beam pattern model; constructing an optimal matching database of different beam patterns and the corresponding optimal reduction strategies according to the mapping relation;
constructing a multi-user expected antenna beam pattern; matching the multi-user expected antenna beam pattern with the dynamic low-orbit satellite phased array antenna beam pattern model, and selecting one or two most similar phased array antenna beam patterns with highest similarity level with the multi-user expected antenna beam pattern; according to the wave beam pattern of the most similar phased array antenna and the optimal matching database, the corresponding multi-user optimal selection coding sequence and multi-user optimal phase rotation combination are obtained;
Acquiring a control function according to the multi-user optimal selection coding sequence and the multi-user optimal phase rotation combination; establishing a scaling function according to the scheduling period and elevation change; and updating the control function and carrying out power adjustment according to the scaling function to obtain a final beam forming signal.
In some embodiments of the present application, the constructing an antenna beam pattern model for a given low-orbit satellite position and a given wave position from the ephemeris position function includes:
setting a phased array as a planar array, and calculating a plane wave incidence azimuth angle set and a plane wave incidence pitch angle set of array elements on the planar array and the central position for the given wave position through the ephemeris position function and the central position coordinates of the given wave position; selecting a plurality of array elements to design a beam forming scheme and establishing an antenna selection function; and establishing an antenna beam pattern model of the given wave position according to the plane wave incidence azimuth angle set, the plane wave incidence pitch angle set and the antenna selection function.
In some embodiments of the present application, the obtaining a dynamic low-orbit satellite phased array antenna beam pattern model according to the antenna beam pattern includes:
Updating the plane wave incidence azimuth angle set and the plane wave incidence pitch angle set according to the ephemeris position function to obtain a new plane wave incidence azimuth angle set and a new plane wave incidence pitch angle set; and updating the antenna beam pattern model according to the new plane wave incidence azimuth angle set and the new plane wave incidence pitch angle set to obtain a dynamic low orbit satellite phased array antenna beam pattern model.
In some embodiments of the present application, the combining multiple sets of selective coding sequences and phase rotations in one beam pattern reduces PAPR of FBMC signals in a corresponding reduction manner, including:
and randomly generating a plurality of groups of selection code sequences and a plurality of groups of phase rotation combinations, wherein the plurality of groups of selection code sequences reduce the PAPR of the FBMC signal, and the plurality of groups of phase rotation combinations reduce the PAPR of the FBMC signal.
In some embodiments of the present application, the constructing, according to the beam pattern model of the dynamic low-orbit satellite phased array antenna, a mapping relationship between a dynamic optimal selection coding sequence and a dynamic optimal phase rotation combination in different satellite transmission scenarios includes:
and simulating different satellite transmitting scenes by changing the ephemeris position function and the given wave position, and constructing a mapping relation of a dynamic optimal selection coding sequence and a dynamic optimal phase rotation combination under different satellite transmitting scenes according to the dynamic low-orbit satellite phased array antenna wave beam pattern model.
In some embodiments of the present application, the constructing a multi-user desired antenna beam pattern; matching the multi-user expected antenna beam pattern with the dynamic low-orbit satellite phased array antenna beam pattern model, and selecting one or two most similar phased array antenna beam patterns with highest similarity level with the multi-user expected antenna beam pattern, wherein the method comprises the following steps:
designing a multi-user function, and constructing the multi-user expected antenna beam pattern based on the multi-user function;
and matching the beam pattern of the multi-user expected antenna with the beam pattern model of the dynamic low-orbit satellite phased array antenna, designing a matching function value, and selecting one or two most similar phased array antenna beam patterns with highest similarity level with the beam pattern of the multi-user expected antenna when the matching function value is minimum.
In some embodiments of the present application, the obtaining a control function according to the multi-user optimal selection code sequence and the multi-user optimal phase rotation combination includes:
and performing PTS (PTS-to-PAPR) reduction operation on the multi-user optimal selection coding sequence or performing SLM (selective mapping) reduction operation on the multi-user optimal phase rotation combination to obtain a control function.
A second aspect of the present application provides a low-orbit satellite PAPR reduction apparatus based on beam pattern dynamic matching, the apparatus comprising:
the model building module is used for building an antenna beam pattern model under the conditions of given low-orbit satellite positions and given wave positions according to the ephemeris position function; acquiring a dynamic low-orbit satellite phased array antenna beam pattern model according to the antenna beam pattern;
the database construction module is used for reducing the PAPR of the FBMC signal according to the corresponding reduction mode under one beam pattern by combining a plurality of groups of selection coding sequences and phase rotations, and calculating and selecting the mode of enabling the PAPR of the FBMC signal to be the lowest and the optimal selection coding sequence and the optimal phase rotation combination used by the mode as an optimal reduction strategy; constructing mapping relations of dynamic optimal selection coding sequences and dynamic optimal phase rotation combinations under different satellite transmitting scenes according to the dynamic low-orbit satellite phased array antenna beam pattern model; constructing an optimal matching database of different beam patterns and the corresponding optimal reduction strategies according to the mapping relation;
the multi-user processing module is used for constructing a multi-user expected antenna beam pattern; matching the multi-user expected antenna beam pattern with the dynamic low-orbit satellite phased array antenna beam pattern model, and selecting one or two most similar phased array antenna beam patterns with highest similarity level with the multi-user expected antenna beam pattern; according to the wave beam pattern of the most similar phased array antenna and the optimal matching database, the corresponding multi-user optimal selection coding sequence and multi-user optimal phase rotation combination are obtained;
The beam forming module is used for acquiring a control function according to the multi-user optimal selection coding sequence and the multi-user optimal phase rotation combination; establishing a scaling function according to the scheduling period and elevation change; and updating the control function and carrying out power adjustment according to the scaling function to obtain a final beam forming signal.
A third aspect of the present application provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the beam pattern dynamic matching based low-orbit satellite PAPR reduction method mentioned in the previous embodiment when executing the computer program.
A fourth aspect of the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the low-orbit satellite PAPR reduction method based on beam pattern dynamic matching mentioned in the previous embodiment.
The method and the device for reducing the PAPR of the low-orbit satellite based on the dynamic matching of the beam pattern, provided by the application, comprise the following steps: acquiring a dynamic low-orbit satellite phased array antenna beam pattern model according to the antenna beam pattern; constructing optimal matching databases of different beam patterns and the corresponding optimal reduction strategies according to the mapping relation; according to the wave beam pattern of the most similar phased array antenna and the optimal matching database, the corresponding multi-user optimal selection coding sequence and multi-user optimal phase rotation combination are obtained; acquiring a control function according to the multi-user optimal selection coding sequence and the multi-user optimal phase rotation combination; establishing a scaling function according to the scheduling period and elevation change; and updating the control function and carrying out power adjustment according to the scaling function to obtain a final beam forming signal. According to the method and the device, the quality of the FBMC waveform can be guaranteed under the phased array agile wave beam, and the peak-to-average ratio is effectively reduced.
Additional advantages, objects, and features of the application will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
It will be appreciated by those skilled in the art that the objects and advantages that can be achieved with the present application are not limited to the above-detailed description, and that the above and other objects that can be achieved with the present application will be more clearly understood from the following detailed description.
Drawings
The accompanying drawings are included to provide a further understanding of the application, and are incorporated in and constitute a part of this application. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the application. Corresponding parts in the drawings may be exaggerated, i.e. made larger relative to other parts in an exemplary device actually manufactured according to the present application, for convenience in showing and describing some parts of the present application. In the drawings:
fig. 1 is a flow chart of a low-orbit satellite PAPR reduction method based on beam pattern dynamic matching in an embodiment of the application.
Fig. 2 is a schematic structural diagram of a low-orbit satellite PAPR reduction device based on beam pattern dynamic matching according to another embodiment of the application.
Abbreviation and key term definitions
HPA High-Power Amplifier
PAPR Peakto Average Power Ratio (Peak average Power ratio)
OFDM Orthogonal Frequency Division Multiplexing (orthogonal frequency division multiplexing)
UFMC Universal Filtered Multicarrier (general filter multi-carrier)
GFDM GeneralizedFrequency Division Multiplexing (generalized frequency division multiplexing)
FBMC Filter BankMulticarrier (Filter Multi-carrier)
OQAM offset quadrature amplitude modulation (offset quadrature amplitude modulation)
SLM selective mapping (Selective mapping)
PTS Partial Transmission Sequence (partial Transmission sequence)
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail with reference to the embodiments and the accompanying drawings. The exemplary embodiments of the present application and their descriptions are used herein to explain the present application, but are not intended to be limiting of the present application.
It should be noted here that, in order to avoid obscuring the present application due to unnecessary details, only structures and/or processing steps closely related to the solution according to the present application are shown in the drawings, while other details not greatly related to the present application are omitted.
It should be emphasized that the term "comprises/comprising" when used herein is taken to specify the presence of stated features, elements, steps or components, but does not preclude the presence or addition of one or more other features, elements, steps or components.
It is also noted herein that the term "coupled" may refer to not only a direct connection, but also an indirect connection in which an intermediate is present, unless otherwise specified.
Hereinafter, embodiments of the present application will be described with reference to the drawings. In the drawings, the same reference numerals represent the same or similar components, or the same or similar steps.
The application mainly focuses on FBMC waveform peak-to-average ratio suppression for the phased array low-orbit satellite Internet. The low-orbit satellite internet has become the only means of 6G global high-speed mobile communication coverage. To support high-speed mobile communication for high-speed, large-scale users, breakthrough innovation in the satellite air interface communication system is required. Therefore, the method is integrated with a new air interface of the ground B5G or 5G, and combines with a phased array antenna to realize flexible and dynamic beam forming and scheduling, so that the method becomes a main idea of innovation of a low-orbit satellite Internet communication system. At present, research and demonstration of a low-orbit satellite communication system based on an OFDM waveform have been carried out by research institutions at home and abroad, and other B5G/6G alternative waveforms, such as UFMC, GFDM, FBMC and the like, have great potential to be applied to the low-orbit satellite Internet. Since FBMC has significant advantages over UFMC and GFDM in terms of freedom of design, other performance is comparable to the other two waveforms, and therefore the present invention focuses primarily on FBMC waveforms.
There have been studies on peak-to-average ratio suppression of FBMC, mainly including single carrier or constant envelope modulation, selective sequence modulation (SLM), phase rotation (PTS), peak clipping (clipping), and the like, which have challenges in low-orbit satellite internet applications: 1) In a low-orbit satellite phased array antenna, multiple single carriers need to be combined. The existing single carrier modulation MF-TDMA or DFT-s-OFDM, or single carrier similar to constant envelope modulation of single carrier, will need to be combined, and the PAPR after combination will be improved significantly. 2) The existing PAPR suppression method based on SLM and PTS needs multiple attempts and iterations due to randomness of sequence symbols, so that the optimal design for reducing PAPR can be traversed, the efficiency is low, and the feed direction of the wave beam of the phased array low orbit satellite is suddenly or continuously changed due to wave bit scheduling and motion change in the service period. The optimal design of the aforementioned PAPR will have difficulty meeting the subsequently changing PAPR reduction requirements. 3) The prior method of direct peak clipping can still maintain reliable demodulation performance during receiving under the condition of enough channel coding error correction capability. However, due to dynamic changes of the phased array low-orbit satellite, the power covering the ground also changes, and the fixed peak clipping threshold can cause the waste of satellite-borne power amplifier energy or serious signal distortion caused by excessive peak clipping.
To sum up, the idea of applying FBMC to low-orbit satellite internet is: considering that the feed beam direction of the phased array antenna is continuously changed in the satellite motion direction according to a plurality of composite beam modes in a satellite service period, and meanwhile, the control information of the composite beam can be obtained in advance when different users multiplex, therefore, a series of agile beam pointing phased array antenna beam patterns can be constructed, different PAPR reducing methods and configurations are selected in the given phased array antenna beam patterns, and an optimal PAPR suppression strategy under the current phased array antenna beam patterns is obtained through simulation, so that a database of the phased array antenna beam patterns and the optimal PAPR suppression strategy is constructed. When the phased array low-orbit satellite is served, the transmitting end can obtain the expected phased array antenna beam pattern according to the current user position and the beam control information, the most suitable PAPR reducing method and configuration of the phased array antenna beam pattern are searched from the data, and correspondingly, the transmitting end calculates the gradual change configuration method of the selected PAPR method and configuration along with the change of satellite positions according to the acquired ephemeris, so that the optimal PAPR control of the FBMC waveform of the phased array low-orbit satellite is completed according to the preset PAPR reducing method and configuration.
The technical problem to be solved by the method is to guarantee the quality of the FBMC waveform and effectively reduce the peak-to-average ratio under phased array agile wave beams. Under a low-orbit phased array system, the waveform of the transmitted signal forms a plurality of schemes according to the distribution and scheduling requirements of the ground users in the satellite service period, and the waveform of the transmitted signal is gradually changed along with the movement of the satellite. Thus, the phased array agile beam FBMC waveform peak-to-average ratio also dynamically varies over time. In addition, the transmission link of the low-orbit satellite Internet is long, the time delay is large, and the PAPR is evaluated after receiving signals and then fed back to the transmitting end, so that the problem of outdated feedback often exists. Therefore, how to realize the on-demand automatic adjustment of the FBMC waveform peak-to-average ratio suppression strategy is a key for solving the problem that the phased array agile beam FBMC waveform peak-to-average ratio is too high. The key problems are as follows:
(1) Phased array antenna beam pattern modeling of agile beam pointing: the spaceborne phased array antenna can provide a plurality of dynamic, mobile and agile beams to achieve flexible communication coverage. During satellite service, the beam pattern of a phased array antenna in one wave position forms several beam forming schemes according to the distribution situation of users on the ground. The beam pointing will be obtained from the spatially encoded information of the user, which forms a combined beam in a plurality of antenna elements by means of a beam forming matrix. Therefore, how to combine the user coding information and the ephemeris information to construct the beam pattern in the planned satellite wave position according to the advance is a key for accurately controlling the multiple single carrier combined FBMC multi-carrier to reduce the PAPR.
(2) Intelligent matching and self-adaptive control of PAPR reduction strategies: the agile wave beam gradually changes along with the movement of the satellite, and the peak-to-average ratio of the wave form of the agile wave beam FBMC also dynamically changes along with time. The low-orbit satellite Internet has long transmission link and large time delay, and the PAPR is evaluated after receiving signals and then fed back to a transmitting end, so that the problem of outdated feedback often exists. Therefore, the scheme of matching PAPR reduction in advance for the single carrier input expected by the beam according to the beam pattern design constraint of the phased array antenna can be considered, and meanwhile, how to intelligently and dynamically adjust the configuration of the PAPR reduction scheme based on the matched PAPR reduction scheme is the key to solve the problem of on-demand automatic adjustment of the FBMC waveform peak-to-average ratio suppression strategy.
The following examples are provided to illustrate the invention in more detail.
The embodiment of the application provides a low-orbit satellite PAPR reducing method based on beam pattern dynamic matching, which can be executed by a low-orbit satellite PAPR reducing device based on beam pattern dynamic matching, and concretely comprises the following steps of:
step 110: constructing an antenna beam pattern model under the conditions of given low-orbit satellite positions and given wave positions according to the ephemeris position function; and acquiring a dynamic low-orbit satellite phased array antenna beam pattern model according to the antenna beam pattern.
Wherein step 110 comprises:
step 010: setting a phased array as a planar array, and calculating a plane wave incidence azimuth angle set and a plane wave incidence pitch angle set of array elements on the planar array and the central position for the given wave position through the ephemeris position function and the central position coordinates of the given wave position; selecting a plurality of array elements to design a beam forming scheme and establishing an antenna selection function; and establishing an antenna beam pattern model of the given wave position according to the plane wave incidence azimuth angle set, the plane wave incidence pitch angle set and the antenna selection function.
Step 020: updating the plane wave incidence azimuth angle set and the plane wave incidence pitch angle set according to the ephemeris position function to obtain a new plane wave incidence azimuth angle set and a new plane wave incidence pitch angle set; and updating the antenna beam pattern model according to the new plane wave incidence azimuth angle set and the new plane wave incidence pitch angle set to obtain a dynamic low orbit satellite phased array antenna beam pattern model.
In particular, the method comprises the steps of,
firstly, a plane rectangular coordinate system is established by taking a certain ground wave position center as a coordinate origin, coordinates of satellites in the coordinate system are obtained through calculation at different moments according to ephemeris information, and accordingly, the position relation of a satellite phased array relative to any given wave position at different moments, namely, ephemeris position functions, are obtained through the coordinates.
Secondly, setting the phased array as a planar array, wherein the phased array comprises a plurality of array elements, and calculating and obtaining the plane wave incident azimuth angle of each array element on the satellite phased array to the central position of the given wave position through an ephemeris position function and the central position coordinates of the given wave position for a given wave position under the condition of the preset wave position on the ground
Figure BDA0004008373700000081
Plane wave incidence pitch angle
Figure BDA0004008373700000083
Record->
Figure BDA0004008373700000082
Plane wave incidence azimuth angle set of given wave position for all array elements, ψ l ＝(θ 1,l ,θ 2,l ,……,θ M,l ) And (5) a plane wave incidence pitch angle set for a given wave position for all array elements. Because the beam forming mode and effect can change along with the number of the array elements of the phased array antenna and the change of the distribution condition of each array element on the phased array, a plurality of array element design beam forming schemes in the phased array antenna are set and selected, and an antenna selection function W is established m The function is an M x 1 matrix, each value of the matrix corresponding to the antenna condition selected for the beamforming scheme. When the first element is used, the value of the first column is assigned, otherwise. And selecting array elements to carry out beam forming, and assigning values of the common columns. When the value of column is assigned, the corresponding +.>
Figure BDA0004008373700000091
And->
Figure BDA0004008373700000097
The value of (2) is also assigned. Then the function W is selected by the antenna m Array element plane wave incidence azimuth angle set phi l Incidence pitch angle set ψ l Establishing an antenna beam pattern model F for a given wave position m,l ＝f(W m ,Φ l ,Ψ l )。/>
Finally, for the plane wave incidence azimuth angle
Figure BDA0004008373700000092
Plane wave incidence pitch angle +.>
Figure BDA0004008373700000098
By applying an ephemeris position function P t As constraint condition, obtaining new plane wave incidence azimuth angle set phi t,l New plane wave incidence pitch angle set ψ t,l Thereby updating the antenna beam pattern model to obtain a dynamic low orbit satellite phased array antenna beam pattern model F t,l ＝f(W m ,Φ t,l ,Ψ t,l )。
Step 120: reducing the PAPR of the FBMC signal according to the corresponding reduction mode by combining a plurality of groups of selection coding sequences and phase rotations under one beam pattern, and calculating and selecting the mode of enabling the PAPR of the FBMC signal to be the lowest and the optimal selection coding sequence and the optimal phase rotation combination used by the mode as an optimal reduction strategy; constructing mapping relations of dynamic optimal selection coding sequences and dynamic optimal phase rotation combinations under different satellite transmitting scenes according to the dynamic low-orbit satellite phased array antenna beam pattern model; and constructing an optimal matching database of different beam patterns and the corresponding optimal reduction strategies according to the mapping relation.
Wherein step 120 comprises:
step 030: and randomly generating a plurality of groups of selection code sequences and a plurality of groups of phase rotation combinations, wherein the plurality of groups of selection code sequences reduce the PAPR of the FBMC signal, and the plurality of groups of phase rotation combinations reduce the PAPR of the FBMC signal.
Step 040: and simulating different satellite transmitting scenes by changing the ephemeris position function and the given wave position, and constructing a mapping relation of a dynamic optimal selection coding sequence and a dynamic optimal phase rotation combination under different satellite transmitting scenes according to the dynamic low-orbit satellite phased array antenna wave beam pattern model.
In particular, the method comprises the steps of,
first, a frequency domain information sequence x= (X) having a length of 0 ,X 1 ,……,X N-1 ) Divided into sub-block sequences (B 1 ,B 2 ,……,B V ) And these sub-block sequences do not overlap each other,
Figure BDA0004008373700000093
design choice coding sequence b= (B 1 ,B 2 ,……,B V ) The sub-block segmentation sequence is used as a method. At the same time, design phase rotation combination->
Figure BDA0004008373700000094
Figure BDA0004008373700000095
As a method of phase rotation coefficient. Wherein each phase rotation factor +>
Figure BDA0004008373700000096
Are randomly generated. In order to reduce the computational complexity, one of which is defined +.>
Figure BDA0004008373700000101
(N is more than or equal to 1 and less than or equal to N). Randomly generating a plurality of groups of selection code sequences B and a plurality of groups of phase rotation combinations Θ, wherein the plurality of groups of selection code sequences adopt the method for reducing the PAPR of the FBMC signal, the plurality of groups of phase rotation combinations adopt the method for reducing the PAPR of the FBMC signal, and the optimal selection code sequences and the optimal phase rotation combinations used in the method are selected as the optimal reduction strategies as follows:
Figure BDA0004008373700000102
Wherein the parameter D represents the choice of the code sequence B or the phase rotation combination Θ, G (·) as a function of the calculated frequency domain sequence after the operation using the code sequence or the operation using the phase rotation coefficient Θ.
Second, by changing the satellite motion position (x t ,y t ,z t ) And selected multi-wave level
Figure BDA0004008373700000103
(set the number of multi-wave positions as) different satellite transmission scenes are simulated. Based on dynamic low orbit satellite phased array antenna beam pattern model, record multi-wave-level condition ++>
Figure BDA0004008373700000104
For l, calculate the dynamic optimal selection coding sequence under each beam pattern>
Figure BDA0004008373700000105
And dynamic optimal phase rotationChange combination->
Figure BDA0004008373700000106
The mapping relationship is constructed as follows:
Figure BDA0004008373700000107
finally, the different dynamic optimal selection coding sequences
Figure BDA0004008373700000108
And dynamic optimal phase rotation combination->
Figure BDA0004008373700000109
And different beam patterns F t,l The mapping relation under the condition is subjected to induction arrangement of sub-scenes, and an optimal matching database of different beam patterns and corresponding optimal reduction strategies is constructed as follows
Figure BDA00040083737000001010
Wherein C is t,l The subscript of (2) indicates the time of transmitting the signal, and the subscript indicates different wave positions corresponding to different satellite positions.
Step 130: constructing a multi-user expected antenna beam pattern; matching the multi-user expected antenna beam pattern with the dynamic low-orbit satellite phased array antenna beam pattern model, and selecting one or two most similar phased array antenna beam patterns with highest similarity level with the multi-user expected antenna beam pattern; and according to the wave beam pattern of the most similar phased array antenna and the optimal matching database, the corresponding multi-user optimal selection coding sequence and multi-user optimal phase rotation combination are obtained.
Wherein step 130 comprises:
step 050: designing a multi-user function, and constructing the multi-user expected antenna beam pattern based on the multi-user function; and matching the beam pattern of the multi-user expected antenna with the beam pattern model of the dynamic low-orbit satellite phased array antenna, designing a matching function value, and selecting one or two most similar phased array antenna beam patterns with highest similarity level with the beam pattern of the multi-user expected antenna when the matching function value is minimum.
In particular, the method comprises the steps of,
first, for a number of multi-user cases, a multi-user function U is designed using a synthesized antenna beam pattern n ＝(u 1 ,u 2 ,……,u n ). The function is passed through u k The value of k is more than or equal to 1 and less than or equal to n determines the signal power weight of each user under the corresponding angle on the antenna pattern. Based on the function, a multi-user expected antenna beam pattern F is constructed M ＝f'(U n )
Secondly, the multi-user expected antenna beam pattern F is obtained M Beam pattern model F of dynamic low-orbit satellite phased array antenna t,l Matching, designing matching function value
Figure BDA0004008373700000111
Wherein h is i (F M ,F t,l ) Calculating an antenna beam pattern F M And F t,l The power difference at the first user angle is multiplied by the weight ai as a weighted power difference at the user angle. The matching function value H is the sum of the weighted power differences for the individual user angles. Thus, the matching function value H reflects the antenna beam pattern F M And F t,l The lower the final H value, the closer the two antenna beam patterns are functionally, i.e. the higher the similarity level. Calculating the antenna beam pattern F established by each pair of beam centers in the database t,l And multiuser desired antenna beam pattern F M Finding one or two corresponding most similar phased array antenna beam patterns F with the lowest value t,l 。
The matching process described above is the meaning of dynamic matching in the method name.
Finally, the most similar phased array antenna wave is recordedBeam pattern F match By matching the database obtained in the step with the optimum
Figure BDA0004008373700000112
Adapting to obtain corresponding multi-user optimal selection coding sequence B match Or multi-user optimal phase rotation combination Θ match The specific formula is as follows:
Figure BDA0004008373700000113
step 140: acquiring a control function according to the multi-user optimal selection coding sequence and the multi-user optimal phase rotation combination; establishing a scaling function according to the scheduling period and elevation change; and updating the control function and carrying out power adjustment according to the scaling function to obtain a final beam forming signal.
Wherein step 140 comprises:
step 060: and performing PTS (PTS-to-PAPR) reduction operation on the multi-user optimal selection coding sequence or performing SLM (selective mapping) reduction operation on the multi-user optimal phase rotation combination to obtain a control function.
In particular, the method comprises the steps of,
first, a transmitting-side signal is processed: at an initial elevation angle
Figure BDA0004008373700000114
Next, the code sequence B is optimally selected for multiple users in the step match PTS or multiuser optimal phase rotation combination Θ match The control function is obtained by performing SLM reduction PAPR operation as follows:
x n ＝g(D match ,X),(D match ＝B match orΘ match )
wherein g (·) represents the function of performing the above operation on the frequency domain sequence, and the resulting time domain signal x n The value of (c) will decrease.
Secondly, setting a scheduling period as a change period of a reduction strategy, and setting elevation angles of the satellite and a receiving end
Figure BDA0004008373700000121
Changes occur, with which the received signal changes. Establishing a scaling function according to the condition of satellite elevation change>
Figure BDA0004008373700000122
The following are provided:
Figure BDA0004008373700000123
wherein z is n (1≤n≤N p ) Representing the scaling factor at the first element. Initial elevation angle in ()
Figure BDA0004008373700000129
In the case of (a) the number of the cells,
Figure BDA0004008373700000124
maintaining a matching most similar phased array antenna beam pattern F during each scheduling period match Adaptive multiuser optimal selection coding sequence B match Or multi-user optimal phase rotation combination Θ match Scaling function +.>
Figure BDA0004008373700000125
Is unchanged. Predicting parameters of the next scheduling period according to the ephemeris information, repeating the operation of the steps, and replacing a new reduction strategy after one scheduling period.
Figure BDA0004008373700000126
Wherein F is n Refers to the most similar phased array antenna beam pattern obtained in the step by matching the best matching database under the first scheduling period.
Finally, the control function f (·) is updated according to the scaling function
Figure BDA0004008373700000127
And performing power adjustment to obtain a final beam forming signal as follows:
Figure BDA0004008373700000128
in summary, the method and device for reducing the PAPR of the low-orbit satellite based on the dynamic matching of the beam pattern provided by the application, the method comprises the following steps: acquiring a dynamic low-orbit satellite phased array antenna beam pattern model according to the antenna beam pattern; constructing optimal matching databases of different beam patterns and the corresponding optimal reduction strategies according to the mapping relation; according to the wave beam pattern of the most similar phased array antenna and the optimal matching database, the corresponding multi-user optimal selection coding sequence and multi-user optimal phase rotation combination are obtained; acquiring a control function according to the multi-user optimal selection coding sequence and the multi-user optimal phase rotation combination; establishing a scaling function according to the scheduling period and elevation change; and updating the control function and carrying out power adjustment according to the scaling function to obtain a final beam forming signal. According to the method and the device, the quality of the FBMC waveform can be guaranteed under the phased array agile wave beam, and the peak-to-average ratio is effectively reduced.
From a software aspect, the present application further provides a low-orbit satellite PAPR reduction device based on beam pattern dynamic matching in all or part of the low-orbit satellite PAPR reduction method based on beam pattern dynamic matching, which specifically includes the following contents:
The model building module 10 is used for building an antenna beam pattern model under the conditions of given low-orbit satellite position and given wave position according to the ephemeris position function; acquiring a dynamic low-orbit satellite phased array antenna beam pattern model according to the antenna beam pattern;
the database construction module 20 is configured to reduce the PAPR of the FBMC signal according to the respective corresponding reduction mode by combining multiple sets of selection code sequences and phase rotations in one beam pattern, and calculate and select, as an optimal reduction strategy, an optimal selection code sequence and an optimal phase rotation combination used in a mode that minimizes the PAPR of the FBMC signal; constructing mapping relations of dynamic optimal selection coding sequences and dynamic optimal phase rotation combinations under different satellite transmitting scenes according to the dynamic low-orbit satellite phased array antenna beam pattern model; constructing an optimal matching database of different beam patterns and the corresponding optimal reduction strategies according to the mapping relation;
a multi-user processing module 30 for constructing a multi-user desired antenna beam pattern; matching the multi-user expected antenna beam pattern with the dynamic low-orbit satellite phased array antenna beam pattern model, and selecting one or two most similar phased array antenna beam patterns with highest similarity level with the multi-user expected antenna beam pattern; according to the wave beam pattern of the most similar phased array antenna and the optimal matching database, the corresponding multi-user optimal selection coding sequence and multi-user optimal phase rotation combination are obtained;
A beam forming module 40, configured to obtain a control function according to the multi-user optimal selection coding sequence and the multi-user optimal phase rotation combination; establishing a scaling function according to the scheduling period and elevation change; and updating the control function and carrying out power adjustment according to the scaling function to obtain a final beam forming signal.
The embodiment of the application also provides an electronic device, such as a central server, which may include a processor, a memory, a receiver and a transmitter, where the processor is configured to perform the low-orbit satellite PAPR reduction method based on beam pattern dynamic matching mentioned in the foregoing embodiment, and the processor and the memory may be connected by a bus or other manners, for example, through a bus connection. The receiver may be connected to the processor, memory, by wire or wirelessly.
The processor may be a central processing unit (Central Processing Unit, CPU). The processor may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-Programmable gate arrays (FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination thereof.
The memory, as a non-transitory computer readable storage medium, may be used to store a non-transitory software program, a non-transitory computer executable program, and a module, such as program instructions/modules corresponding to a low-orbit satellite PAPR reduction method based on beam pattern dynamic matching in the embodiments of the present application. The processor executes the non-transitory software programs, instructions and modules stored in the memory to perform various functional applications and data processing of the processor, i.e., to implement the low-orbit satellite PAPR reduction method based on beam pattern dynamic matching in the above-described method embodiments.
The memory may include a memory program area and a memory data area, wherein the memory program area may store an operating system, at least one application program required for a function; the storage data area may store data created by the processor, etc. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory may optionally include memory located remotely from the processor, the remote memory being connectable to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory and when executed by the processor, perform the internet of things intrusion detection model training method and/or the internet of things intrusion personalization detection method in embodiments.
In some embodiments of the present application, the user equipment may include a processor, a memory, and a transceiver unit, where the transceiver unit may include a receiver and a transmitter, and the processor, the memory, the receiver, and the transmitter may be connected by a bus system, the memory storing computer instructions, and the processor executing the computer instructions stored in the memory to control the transceiver unit to transmit and receive signals.
As an implementation manner, the functions of the receiver and the transmitter in the present application may be considered to be implemented by a transceiver circuit or a dedicated chip for transceiver, and the processor may be considered to be implemented by a dedicated processing chip, a processing circuit or a general-purpose chip.
As another implementation manner, a manner of using a general-purpose computer may be considered to implement the server provided in the embodiments of the present application. I.e. program code for implementing the functions of the processor, the receiver and the transmitter are stored in the memory, and the general purpose processor implements the functions of the processor, the receiver and the transmitter by executing the code in the memory.
The present embodiments also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the low orbit satellite PAPR reduction method based on beam pattern dynamic matching mentioned in the previous embodiments. The computer readable storage medium may be a tangible storage medium such as Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, floppy disks, hard disk, a removable memory disk, a CD-ROM, or any other form of storage medium known in the art.
Those of ordinary skill in the art will appreciate that the various illustrative components, systems, and methods described in connection with the embodiments disclosed herein can be implemented as hardware, software, or a combination of both. The particular implementation is hardware or software dependent on the specific application of the solution and the design constraints. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine readable medium or transmitted over transmission media or communication links by a data signal carried in a carrier wave.
It should be clear that the present application is not limited to the particular arrangements and processes described above and illustrated in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions, or change the order between steps, after appreciating the spirit of the present application.
The features described and/or illustrated in this application for one embodiment may be used in the same way or in a similar way in one or more other embodiments and/or in combination with or instead of the features of the other embodiments.
The foregoing description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and variations may be made to the embodiment of the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims (10)

1. A low-orbit satellite PAPR reduction method based on beam pattern dynamic matching, the method comprising:
constructing an antenna beam pattern model under the conditions of given low-orbit satellite positions and given wave positions according to the ephemeris position function; acquiring a dynamic low-orbit satellite phased array antenna beam pattern model according to the antenna beam pattern;
reducing the PAPR of the FBMC signal according to the corresponding reduction mode by combining a plurality of groups of selection coding sequences and phase rotations under one beam pattern, and calculating and selecting the mode of enabling the PAPR of the FBMC signal to be the lowest and the optimal selection coding sequence and the optimal phase rotation combination used by the mode as an optimal reduction strategy; constructing mapping relations of dynamic optimal selection coding sequences and dynamic optimal phase rotation combinations under different satellite transmitting scenes according to the dynamic low-orbit satellite phased array antenna beam pattern model; constructing an optimal matching database of different beam patterns and the corresponding optimal reduction strategies according to the mapping relation;
constructing a multi-user expected antenna beam pattern; matching the multi-user expected antenna beam pattern with the dynamic low-orbit satellite phased array antenna beam pattern model, and selecting one or two most similar phased array antenna beam patterns with highest similarity level with the multi-user expected antenna beam pattern; according to the wave beam pattern of the most similar phased array antenna and the optimal matching database, the corresponding multi-user optimal selection coding sequence and multi-user optimal phase rotation combination are obtained;
Acquiring a control function according to the multi-user optimal selection coding sequence and the multi-user optimal phase rotation combination; establishing a scaling function according to the scheduling period and elevation change; and updating the control function and carrying out power adjustment according to the scaling function to obtain a final beam forming signal.
2. The method for reducing PAPR of a low orbit satellite based on beam pattern dynamic matching according to claim, wherein said constructing an antenna beam pattern model for a given low orbit satellite position and a given wave position from said ephemeris position function comprises:
setting a phased array as a planar array, and calculating a plane wave incidence azimuth angle set and a plane wave incidence pitch angle set of array elements on the planar array and the central position for the given wave position through the ephemeris position function and the central position coordinates of the given wave position; selecting a plurality of array elements to design a beam forming scheme and establishing an antenna selection function; and establishing an antenna beam pattern model of the given wave position according to the plane wave incidence azimuth angle set, the plane wave incidence pitch angle set and the antenna selection function.
3. The method for reducing PAPR of a low orbit satellite based on beam pattern dynamic matching as recited in claim, wherein said obtaining a dynamic low orbit satellite phased array antenna beam pattern model from said antenna beam pattern comprises:
Updating the plane wave incidence azimuth angle set and the plane wave incidence pitch angle set according to the ephemeris position function to obtain a new plane wave incidence azimuth angle set and a new plane wave incidence pitch angle set; and updating the antenna beam pattern model according to the new plane wave incidence azimuth angle set and the new plane wave incidence pitch angle set to obtain a dynamic low orbit satellite phased array antenna beam pattern model.
4. The method for reducing the PAPR of a low orbit satellite based on beam pattern dynamic matching as recited in claim, wherein said combining multiple sets of selected code sequences and phase rotations in one beam pattern reduces the PAPR of the FBMC signal in a corresponding manner of reduction, comprising:
and randomly generating a plurality of groups of selection code sequences and a plurality of groups of phase rotation combinations, wherein the plurality of groups of selection code sequences reduce the PAPR of the FBMC signal, and the plurality of groups of phase rotation combinations reduce the PAPR of the FBMC signal.
5. The method for reducing PAPR of low orbit satellite based on beam pattern dynamic matching as recited in claim, wherein said constructing mapping relations between dynamically optimal selected code sequences and dynamically optimal phase rotation combinations in different satellite transmission scenarios based on said dynamic low orbit satellite phased array antenna beam pattern model comprises:
And simulating different satellite transmitting scenes by changing the ephemeris position function and the given wave position, and constructing a mapping relation of a dynamic optimal selection coding sequence and a dynamic optimal phase rotation combination under different satellite transmitting scenes according to the dynamic low-orbit satellite phased array antenna wave beam pattern model.
6. The method for reducing PAPR of a low orbit satellite based on beam pattern dynamic matching as recited in claim, wherein said constructing a multi-user desired antenna beam pattern; matching the multi-user expected antenna beam pattern with the dynamic low-orbit satellite phased array antenna beam pattern model, and selecting one or two most similar phased array antenna beam patterns with highest similarity level with the multi-user expected antenna beam pattern, wherein the method comprises the following steps:
designing a multi-user function, and constructing the multi-user expected antenna beam pattern based on the multi-user function;
and matching the beam pattern of the multi-user expected antenna with the beam pattern model of the dynamic low-orbit satellite phased array antenna, designing a matching function value, and selecting one or two most similar phased array antenna beam patterns with highest similarity level with the beam pattern of the multi-user expected antenna when the matching function value is minimum.
7. The method for reducing PAPR of a low orbit satellite based on beam pattern dynamic matching as recited in claim, wherein said combining the acquisition control function based on said multiuser optimal selection code sequence and said multiuser optimal phase rotation comprises:
and performing PTS (PTS-to-PAPR) reduction operation on the multi-user optimal selection coding sequence or performing SLM (selective mapping) reduction operation on the multi-user optimal phase rotation combination to obtain a control function.
8. A low-orbit satellite PAPR reduction device based on beam pattern dynamic matching, characterized in that the device comprises:
the model building module is used for building an antenna beam pattern model under the conditions of given low-orbit satellite positions and given wave positions according to the ephemeris position function; acquiring a dynamic low-orbit satellite phased array antenna beam pattern model according to the antenna beam pattern;
the database construction module is used for reducing the PAPR of the FBMC signal according to the corresponding reduction mode under one beam pattern by combining a plurality of groups of selection coding sequences and phase rotations, and calculating and selecting the mode of enabling the PAPR of the FBMC signal to be the lowest and the optimal selection coding sequence and the optimal phase rotation combination used by the mode as an optimal reduction strategy; constructing mapping relations of dynamic optimal selection coding sequences and dynamic optimal phase rotation combinations under different satellite transmitting scenes according to the dynamic low-orbit satellite phased array antenna beam pattern model; constructing an optimal matching database of different beam patterns and the corresponding optimal reduction strategies according to the mapping relation;
The multi-user processing module is used for constructing a multi-user expected antenna beam pattern; matching the multi-user expected antenna beam pattern with the dynamic low-orbit satellite phased array antenna beam pattern model, and selecting one or two most similar phased array antenna beam patterns with highest similarity level with the multi-user expected antenna beam pattern; according to the wave beam pattern of the most similar phased array antenna and the optimal matching database, the corresponding multi-user optimal selection coding sequence and multi-user optimal phase rotation combination are obtained;
the beam forming module is used for acquiring a control function according to the multi-user optimal selection coding sequence and the multi-user optimal phase rotation combination; establishing a scaling function according to the scheduling period and elevation change; and updating the control function and carrying out power adjustment according to the scaling function to obtain a final beam forming signal.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the beam pattern dynamic matching based low orbit satellite PAPR reduction method according to any one of claims.
10. A computer readable storage medium having stored thereon a computer program which when executed by a processor implements the beam pattern dynamic matching based low orbit satellite PAPR reduction method according to any one of claims.
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