CN116527120B - Signal mapping method and device based on satellite communication - Google Patents
Signal mapping method and device based on satellite communication Download PDFInfo
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- 238000013507 mapping Methods 0.000 title claims abstract description 153
- 238000004891 communication Methods 0.000 title claims abstract description 60
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- 238000004364 calculation method Methods 0.000 claims description 22
- 238000013506 data mapping Methods 0.000 claims description 6
- 238000004590 computer program Methods 0.000 description 10
- 238000004422 calculation algorithm Methods 0.000 description 8
- 238000012545 processing Methods 0.000 description 2
- 238000007476 Maximum Likelihood Methods 0.000 description 1
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/32—Carrier systems characterised by combinations of two or more of the types covered by groups H04L27/02, H04L27/10, H04L27/18 or H04L27/26
- H04L27/34—Amplitude- and phase-modulated carrier systems, e.g. quadrature-amplitude modulated carrier systems
- H04L27/3405—Modifications of the signal space to increase the efficiency of transmission, e.g. reduction of the bit error rate, bandwidth, or average power
- H04L27/3416—Modifications of the signal space to increase the efficiency of transmission, e.g. reduction of the bit error rate, bandwidth, or average power in which the information is carried by both the individual signal points and the subset to which the individual points belong, e.g. using coset coding, lattice coding, or related schemes
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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
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Abstract
The embodiment of the specification provides a signal mapping method and device based on satellite communication, wherein the method comprises the following steps: acquiring symbol information and determining at least one constellation mapping diagram corresponding to the symbol information; determining at least one mapping rule corresponding to the at least one constellation mapping diagram; wherein the mapping rule does not include an inverse trigonometric function operation; determining initial data based on a mapping rule and symbol information corresponding to at least one constellation map; the target data is determined based on the mapping of the initial data and the at least one constellation map. Acquiring symbol information and determining at least one constellation mapping diagram corresponding to the symbol information; determining at least one mapping rule corresponding to the at least one constellation mapping diagram; determining initial data based on a mapping rule and symbol information corresponding to at least one constellation map; and mapping is performed based on the initial data and at least one constellation mapping diagram, and target data is determined, so that the operation complexity is reduced, and the use of memory resources is reduced.
Description
Technical Field
The embodiment of the specification relates to the technical field of data processing, in particular to a signal mapping method based on satellite communication.
Background
In satellite communication, a phase keying modulation scheme with a constant envelope is preferred due to nonlinear distortion of a satellite channel. With the increasing demand of communication capacity, M-ASPK, i.e., multilevel APSK, is a common modulation scheme for high-capacity satellite transmission. The implementation complexity problem of M-APSK soft demapping is a significant challenge, limited by FPGA resources.
In the existing high-order technology, the optimal soft demapping algorithm is a LOG-MAP algorithm based on the maximum likelihood criterion, and the LOG-MAP algorithm needs to carry out logarithmic operation, so that the operation complexity in engineering realization is extremely high. And the logarithmic monotonicity characteristic is utilized to approximate and simplify the logarithmic monotonicity characteristic to obtain the MAX-LOG-MAP algorithm, and certain performance is lost for complexity reduction. The APSK soft demapping algorithm based on the lookup table is mainly characterized in that the calculation times of the Euclidean distance are reduced by means of a constellation diagram stored by external ROM resources. The paper DVB_S2X system receiver key technical design and FPGA implementation provides an APSK soft demapping algorithm based on first quadrant sector positioning based on a lookup table, so that the use of various resources is reduced, and ROM resources and inverse trigonometric function operation are still used. Thus, a better solution is needed.
Disclosure of Invention
In view of this, the present embodiments provide a signal mapping method based on satellite communication. One or more embodiments of the present specification relate to a signal mapping apparatus based on satellite communication, a computing device, a computer-readable storage medium, and a computer program, which solve the technical drawbacks of the prior art.
According to a first aspect of embodiments of the present disclosure, there is provided a signal mapping method based on satellite communication, including:
acquiring symbol information and determining at least one constellation mapping diagram corresponding to the symbol information;
determining at least one mapping rule corresponding to the at least one constellation mapping diagram; wherein the mapping rule does not include an inverse trigonometric function operation;
determining initial data based on a mapping rule and symbol information corresponding to at least one constellation map;
the target data is determined based on the mapping of the initial data and the at least one constellation map.
In one possible implementation, obtaining the symbol information and determining at least one constellation map corresponding to the symbol information includes:
acquiring symbol information, and determining eight bits of data according to the symbol information;
based on the eight-bit data, eight constellation maps corresponding to the eight-bit data are determined.
In one possible implementation, determining at least one mapping rule corresponding to at least one constellation map includes:
determining a target constellation map from the at least one constellation map;
and acquiring the graph identification of the target constellation map, and determining a target mapping rule corresponding to the target constellation map based on the graph identification.
In one possible implementation, determining the initial data based on the mapping rule and the symbol information corresponding to the at least one constellation map includes:
determining a target calculation formula based on the target mapping rule;
initial data is determined based on the target calculation formula and the symbol information.
In one possible implementation, determining the target data based on the mapping of the initial data and the at least one constellation map comprises:
determining a target region based on the initial data and the target constellation map;
target data is determined based on the initial data and the target area.
In one possible implementation, determining the target region based on the initial data and the target constellation map includes:
determining a data type and a data value based on the initial data; wherein the data type includes positive data and negative data;
determining a target area according to the data type and the data value; wherein the target region is a region in the target constellation map.
In one possible implementation, determining the target data based on the initial data and the target region includes:
determining an absolute value of data based on the data value of the initial data;
and determining target data according to the absolute value of the data.
According to a second aspect of embodiments of the present specification, there is provided a signal mapping apparatus based on satellite communication, comprising:
the data acquisition module is configured to acquire symbol information and determine at least one constellation mapping diagram corresponding to the symbol information;
a rule determining module configured to determine at least one mapping rule corresponding to the at least one constellation map; wherein the mapping rule does not include an inverse trigonometric function operation;
a data determining module configured to determine initial data based on a mapping rule and symbol information corresponding to at least one constellation map;
and a data mapping module configured to map based on the initial data and at least one constellation map, to determine target data.
According to a third aspect of embodiments of the present specification, there is provided a computing device comprising:
a memory and a processor;
the memory is configured to store computer-executable instructions that, when executed by the processor, perform the steps of the satellite communication-based signal mapping method described above.
According to a fourth aspect of embodiments of the present specification, there is provided a computer readable storage medium storing computer executable instructions which, when executed by a processor, implement the steps of the satellite communication based signal mapping method described above.
According to a fifth aspect of embodiments of the present specification, there is provided a computer program, wherein the computer program, when executed in a computer, causes the computer to perform the steps of the satellite communication based signal mapping method described above.
The embodiment of the specification provides a signal mapping method and device based on satellite communication, wherein the signal mapping method based on satellite communication comprises the following steps: acquiring symbol information and determining at least one constellation mapping diagram corresponding to the symbol information; determining at least one mapping rule corresponding to the at least one constellation mapping diagram; wherein the mapping rule does not include an inverse trigonometric function operation; determining initial data based on a mapping rule and symbol information corresponding to at least one constellation map; the target data is determined based on the mapping of the initial data and the at least one constellation map. Acquiring symbol information and determining at least one constellation mapping diagram corresponding to the symbol information; determining at least one mapping rule corresponding to the at least one constellation mapping diagram; determining initial data based on a mapping rule and symbol information corresponding to at least one constellation map; and mapping is performed based on the initial data and at least one constellation mapping diagram, and target data is determined, so that the operation complexity is reduced, and the use of memory resources is reduced.
Drawings
Fig. 1 is a schematic view of a signal mapping method based on satellite communication according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of a signal mapping method based on satellite communication according to one embodiment of the present disclosure;
fig. 3 is a schematic constellation diagram of a signal mapping method based on satellite communication according to an embodiment of the present disclosure;
fig. 4 is a first constellation diagram of a signal mapping method based on satellite communication according to an embodiment of the present disclosure;
fig. 5 is a second constellation diagram of a signal mapping method based on satellite communication according to an embodiment of the present disclosure;
FIG. 6 is a third perspective view of a signal mapping method based on satellite communications according to one embodiment of the present disclosure;
fig. 7 is a fourth constellation diagram of a signal mapping method based on satellite communication according to an embodiment of the present disclosure;
FIG. 8 is a fifth perspective view of a signal mapping method based on satellite communications according to one embodiment of the present disclosure;
fig. 9 is a sixth constellation diagram of a signal mapping method based on satellite communication according to an embodiment of the present disclosure;
fig. 10 is a seventh constellation diagram of a signal mapping method based on satellite communication according to an embodiment of the present disclosure;
fig. 11 is an eighth constellation diagram of a signal mapping method based on satellite communication according to an embodiment of the present disclosure;
FIG. 12 is a diagram showing bit errors of a signal mapping method based on satellite communication according to an embodiment of the present disclosure;
fig. 13 is a schematic structural diagram of a signal mapping device based on satellite communication according to an embodiment of the present disclosure;
FIG. 14 is a block diagram of a computing device provided in one embodiment of the present description.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present description. This description may be embodied in many other forms than described herein and similarly generalized by those skilled in the art to whom this disclosure pertains without departing from the spirit of the disclosure and, therefore, this disclosure is not limited by the specific implementations disclosed below.
The terminology used in the one or more embodiments of the specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of the specification. As used in this specification, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present specification refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that, although the terms first, second, etc. may be used in one or more embodiments of this specification to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first may also be referred to as a second, and similarly, a second may also be referred to as a first, without departing from the scope of one or more embodiments of the present description. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
In order to reduce the implementation complexity of 256APSK soft demapping based on the DVB-S2X standard and further improve the throughput of a communication system, the invention provides a method for 256APSK soft demapping in the applicable DVB-S2X standard based on region division. The method achieves the aim of using only few multipliers and not using ROM resources and performing inverse trigonometric function operation under the condition that the performances are basically consistent.
In the present specification, a signal mapping method based on satellite communication is provided, and the present specification relates to a signal mapping apparatus based on satellite communication, a computing device, and a computer-readable storage medium, which are described in detail in the following embodiments one by one.
Referring to fig. 1, fig. 1 is a schematic view of a signal mapping method based on satellite communication according to an embodiment of the present disclosure.
In the application scenario of fig. 1, the computing device 101 may obtain the symbol information 102 and determine at least one constellation map 103 corresponding to the symbol information 102; determining at least one mapping rule 104 corresponding to the at least one constellation map 103; determining initial data 105 based on mapping rules 104 and symbol information 102 corresponding to at least one constellation map 103; the target data is determined based on the mapping of the initial data 105 and the at least one constellation map 103, as indicated by reference numeral 106.
The computing device 101 may be hardware or software. When the computing device 101 is hardware, it may be implemented as a distributed cluster of multiple servers or terminal devices, or as a single server or single terminal device. When the computing device 101 is embodied as software, it may be installed in the hardware devices listed above. It may be implemented as a plurality of software or software modules, for example, for providing distributed services, or as a single software or software module. The present invention is not particularly limited herein.
Referring to fig. 2, fig. 2 shows a flowchart of a signal mapping method based on satellite communication according to an embodiment of the present disclosure, which specifically includes the following steps.
Step 201: and acquiring the symbol information and determining at least one constellation mapping diagram corresponding to the symbol information.
In one possible implementation, obtaining the symbol information and determining at least one constellation map corresponding to the symbol information includes: acquiring symbol information, and determining eight bits of data according to the symbol information; based on the eight-bit data, eight constellation maps corresponding to the eight-bit data are determined.
In practical application, firstly dividing the 256APSK constellation diagram into a given area, dividing the signal into IQ two paths when the signal is received, calculating the amplitude of the signal, judging that the signal falls into the area, converting the probability into the distance dimension, and further calculating the LLR value corresponding to the current bit position according to the rule.
Specifically, the 256APSK constellation in the DVB-S2X standard is formed of eight concentric circles, as shown in fig. 3, each eight bits of information is mapped into 1 symbol. Assume that the radius of concentric circles of the constellation diagram is from inside to outsideThe received signal is +.>The real part is->The imaginary part is->Amplitude is +.>。
Step 202: determining at least one mapping rule corresponding to the at least one constellation mapping diagram; wherein the mapping rule does not include an inverse trigonometric function operation.
In one possible implementation, determining at least one mapping rule corresponding to at least one constellation map includes: determining a target constellation map from the at least one constellation map; and acquiring the graph identification of the target constellation map, and determining a target mapping rule corresponding to the target constellation map based on the graph identification.
In practical application, correspond toThe soft value corresponding to the bit is +.>Root of the Chinese characterDifferent regions can be divided according to the characteristics of each bit on the constellation diagram.
In particular, the method comprises the steps of,the calculation method comprises the following steps:
the region division is shown in FIG. 4, and the center of the constellation diagram is used as the center of the circle>Radius is 1 outside the circle and 0 inside the circle, thus +.>The region may be divided accordingly. The calculation is as follows.
Due toThe method can be calculated in advance according to the constellation diagram, so that the method can be used as a constant term in the implementation, does not occupy calculation resources, and can be operated in a similar way hereinafter, and the following description is omitted.
The calculation method comprises the following steps:
the region division is shown in FIG. 5, and the center of the constellation diagram is used as the center of the circle, and the regions are respectively marked with +.>、/>Two concentric circles are drawn for the radius, the points of the different areas represent 0 or 1, thus +.>The region may be divided accordingly. The calculation is as follows.
The calculation method comprises the following steps:
the region division is shown in fig. 6. About the center of the constellation diagram as the center of the circle, respectively +.>、/>、、/>Draw concentric circles for radius, therefore +.>The region may be divided accordingly. The calculation is as follows.
As shown in FIG. 7, the area division corresponds to 0 above the real axis and 1 below the real axis, and thus +.>The regions may be divided according to the real axis. The corresponding soft values can be obtained by using the imaginary part of the signal, and the calculation mode is as follows.
As shown in FIG. 8, the division of the region is 0 on the right of the imaginary axis and 1 on the left of the imaginary axis, so +.>The regions may be divided according to virtual axes. The corresponding soft value can be obtained by using the real part of the signal, and the calculation mode is as follows.
The region division is shown in fig. 9. To->、/>Is the boundary. Thus->The region can be according to->Is->The division is performed, only the first quadrant is calculated due to the symmetry of the constellation diagram, and the symbols are determined according to the region. The calculation is as follows.
The region division is shown in fig. 10. To->、/>、/>、Is the boundary. Thus->The region can be according to->、/>、/>、The division is performed, only the first quadrant is calculated due to the symmetry of the constellation diagram, and the symbols are determined according to the region. The calculation is as follows.
The region division is shown in fig. 11. To->、/>、/>、、/>、/>、/>、/>Is the boundary. Thus->The region can be according to->、/>、/>、/>、/>、、/>、/>The division is performed, only the first quadrant is calculated due to the symmetry of the constellation diagram, and the symbols are determined according to the region. The calculation is as follows.
Step 203: the initial data is determined based on the mapping rules and symbol information corresponding to the at least one constellation map.
In one possible implementation, determining the initial data based on the mapping rule and the symbol information corresponding to the at least one constellation map includes: determining a target calculation formula based on the target mapping rule; initial data is determined based on the target calculation formula and the symbol information.
In particular, according toTo->All log likelihood ratios are obtained through calculation in the steps, and soft demapping of 256APSK is realized.
For example, according toTo->Eight values of A1, A2, A3, A4, A5, A6, A7 and A8, which are initial data, are determined.
Step 204: the target data is determined based on the mapping of the initial data and the at least one constellation map.
In one possible implementation, determining the target data based on the mapping of the initial data and the at least one constellation map comprises: determining a target region based on the initial data and the target constellation map; target data is determined based on the initial data and the target area.
In practical application, after eight values corresponding to eight bits are obtained, the bit information can be corrected according to the eight values.
For example, according toTo->Eight values of A1, A2, A3, A4, A5, A6, A7 and A8 are determined, a certain area corresponding to each target constellation map is determined according to the eight values, namely bit information is determined, and the probability of correctness or mistakes of transmitted bits can be determined according to the eight values and the certain area of the target constellation map.
In one possible implementation, determining the target region based on the initial data and the target constellation map includes: determining a data type and a data value based on the initial data; wherein the data type includes positive data and negative data; determining a target area according to the data type and the data value; wherein the target region is a region in the target constellation map.
Along the above example, eight values of A1, A2, A3, A4, A5, A6, A7 and A8 are determined, a region representing bit information of 1 or 0 located in the corresponding constellation map can be determined according to signs of the eight values, and which quadrant of the constellation map is specifically located in can be determined according to the data value.
In one possible implementation, determining the target data based on the initial data and the target region includes: determining an absolute value of data based on the data value of the initial data; and determining target data according to the absolute value of the data.
In practical application, the correct probability of eight bits of information is determined according to the distance between the position of the quadrant where the eight values of A1, A2, A3, A4, A5, A6, A7 and A8 are located and other quadrants, namely, the closer to the adjacent boundaries of two quadrants, the smaller the correct probability, and conversely, the farther from the adjacent boundaries of two quadrants, the greater the correct probability.
Along the above example, eight values of A1, A2, A3, A4, A5, A6, A7 and A8 are determined, a region representing bit information of 1 or 0 located in the corresponding constellation map can be determined according to signs of the eight values, and which quadrant of the constellation map is specifically located in can be determined according to the data value. For example, A1 is a pass throughThe calculated constellation map is shown in fig. 4, if A1 is a negative number, the corresponding bit information is 0 in the inner circle, if A1 is a positive number, the corresponding bit information is 1 in the outer circle, and the distance between A1 and the boundary between the outer circle and the inner circle is determined according to the absolute value of A1, so that the correct probability of the bit information corresponding to A1 is determined.
Further, the soft demapping needs to combine with decoding to perform performance verification, the present invention selects the dvb-s2x 135/180 LDPC mode to perform performance evaluation, as can be seen from FIG. 12, the difference between the performance and MAX-LOG-MAP algorithm can be realized within 0.1dB, and the performance loss can be ignored.
In the embodiment of the present disclosure, 256APSK soft demapping of DVB-S2X is implemented by using an algorithm of region division, so that effects of no ROM resource consumption and extremely low multiplier consumption can be achieved, which are the most important advantages and beneficial effects of the present invention different from other similar inventions. The resource consumption is shown in tables 1 and 2.
TABLE 1
TABLE 2
The embodiment of the specification provides a signal mapping method and device based on satellite communication, wherein the signal mapping method based on satellite communication comprises the following steps: acquiring symbol information and determining at least one constellation mapping diagram corresponding to the symbol information; determining at least one mapping rule corresponding to the at least one constellation mapping diagram; wherein the mapping rule does not include an inverse trigonometric function operation; determining initial data based on a mapping rule and symbol information corresponding to at least one constellation map; the target data is determined based on the mapping of the initial data and the at least one constellation map. Acquiring symbol information and determining at least one constellation mapping diagram corresponding to the symbol information; determining at least one mapping rule corresponding to the at least one constellation mapping diagram; determining initial data based on a mapping rule and symbol information corresponding to at least one constellation map; and mapping is performed based on the initial data and at least one constellation mapping diagram, and target data is determined, so that the operation complexity is reduced, and the use of memory resources is reduced.
Corresponding to the above method embodiments, the present disclosure further provides an embodiment of a signal mapping device based on satellite communications, and fig. 13 shows a schematic structural diagram of a signal mapping device based on satellite communications according to one embodiment of the present disclosure. As shown in fig. 13, the apparatus includes:
a data acquisition module 1301 configured to acquire symbol information and determine at least one constellation map corresponding to the symbol information;
a rule determining module 1302 configured to determine at least one mapping rule corresponding to at least one constellation map; wherein the mapping rule does not include an inverse trigonometric function operation;
a data determining module 1303 configured to determine initial data based on a mapping rule and symbol information corresponding to at least one constellation map;
a data mapping module 1304 configured to map based on the initial data and at least one constellation map, to determine target data.
In one possible implementation, the data acquisition module 1301 is further configured to:
acquiring symbol information, and determining eight bits of data according to the symbol information;
based on the eight-bit data, eight constellation maps corresponding to the eight-bit data are determined.
In one possible implementation, the rule determination module 1302 is further configured to:
determining a target constellation map from the at least one constellation map;
and acquiring the graph identification of the target constellation map, and determining a target mapping rule corresponding to the target constellation map based on the graph identification.
In one possible implementation, the data determining module 1303 is further configured to:
determining a target calculation formula based on the target mapping rule;
initial data is determined based on the target calculation formula and the symbol information.
In one possible implementation, the data mapping module 1304 is further configured to:
determining a target region based on the initial data and the target constellation map;
target data is determined based on the initial data and the target area.
In one possible implementation, the data mapping module 1304 is further configured to:
determining a data type and a data value based on the initial data; wherein the data type includes positive data and negative data;
determining a target area according to the data type and the data value; wherein the target region is a region in the target constellation map.
In one possible implementation, the data mapping module 1304 is further configured to:
determining an absolute value of data based on the data value of the initial data;
and determining target data according to the absolute value of the data.
The embodiment of the specification provides a signal mapping method and device based on satellite communication, wherein the signal mapping device based on satellite communication comprises the following steps: acquiring symbol information and determining at least one constellation mapping diagram corresponding to the symbol information; determining at least one mapping rule corresponding to the at least one constellation mapping diagram; wherein the mapping rule does not include an inverse trigonometric function operation; determining initial data based on a mapping rule and symbol information corresponding to at least one constellation map; the target data is determined based on the mapping of the initial data and the at least one constellation map. Acquiring symbol information and determining at least one constellation mapping diagram corresponding to the symbol information; determining at least one mapping rule corresponding to the at least one constellation mapping diagram; determining initial data based on a mapping rule and symbol information corresponding to at least one constellation map; and mapping is performed based on the initial data and at least one constellation mapping diagram, and target data is determined, so that the operation complexity is reduced, and the use of memory resources is reduced.
The above is a schematic scheme of a signal mapping device based on satellite communication in this embodiment. It should be noted that, the technical solution of the signal mapping device based on satellite communication and the technical solution of the signal mapping method based on satellite communication belong to the same concept, and details of the technical solution of the signal mapping device based on satellite communication, which are not described in detail, can be referred to the description of the technical solution of the signal mapping method based on satellite communication.
Fig. 14 illustrates a block diagram of a computing device 1400 provided in accordance with one embodiment of the present specification. The components of computing device 1400 include, but are not limited to, a memory 1410 and a processor 1420. Processor 1420 is coupled to memory 1410 via bus 1430, and database 1450 is used to store data.
Computing device 1400 also includes an access device 1440, which access device 1440 enables computing device 1400 to communicate via one or more networks 1460. Examples of such networks include public switched telephone networks (PSTN, public Switched Telephone Network), local area networks (LAN, local Area Network), wide area networks (WAN, wide Area Network), personal area networks (PAN, personal Area Network), or combinations of communication networks such as the internet. The access device 1440 may include one or more of any type of network interface, wired or wireless (e.g., network interface card (NIC, network interface controller)), such as an IEEE802.11 wireless local area network (WLAN, wireless Local Area Network) wireless interface, a worldwide interoperability for microwave access (Wi-MAX, worldwide Interoperability for Microwave Access) interface, an ethernet interface, a universal serial bus (USB, universal Serial Bus) interface, a cellular network interface, a bluetooth interface, a near-field communication (NFC, near Field Communication).
In one embodiment of the present description, the above-described components of computing device 1400, as well as other components not shown in FIG. 14, may also be connected to each other, such as by a bus. It should be understood that the block diagram of the computing device illustrated in FIG. 14 is for exemplary purposes only and is not intended to limit the scope of the present description. Those skilled in the art may add or replace other components as desired.
Computing device 1400 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., tablet, personal digital assistant, laptop, notebook, netbook, etc.), mobile phone (e.g., smart phone), wearable computing device (e.g., smart watch, smart glasses, etc.), or other type of mobile device, or a stationary computing device such as a desktop computer or personal computer (PC, personal Computer). Computing device 1400 may also be a mobile or stationary server.
Wherein the processor 1420 is configured to execute computer-executable instructions that, when executed by the processor, perform the steps of the satellite communication-based signal mapping method described above. The foregoing is a schematic illustration of a computing device of this embodiment. It should be noted that, the technical solution of the computing device and the technical solution of the signal mapping method based on satellite communication belong to the same concept, and details of the technical solution of the computing device, which are not described in detail, can be referred to the description of the technical solution of the signal mapping method based on satellite communication.
An embodiment of the present disclosure also provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the satellite communication-based signal mapping method described above.
The above is an exemplary version of a computer-readable storage medium of the present embodiment. It should be noted that, the technical solution of the storage medium and the technical solution of the signal mapping method based on satellite communication belong to the same concept, and details of the technical solution of the storage medium which are not described in detail can be referred to the description of the technical solution of the signal mapping method based on satellite communication.
An embodiment of the present disclosure further provides a computer program, where the computer program, when executed in a computer, causes the computer to perform the steps of the signal mapping method based on satellite communication described above.
The above is an exemplary version of a computer program of the present embodiment. It should be noted that, the technical solution of the computer program and the technical solution of the signal mapping method based on satellite communication belong to the same concept, and details of the technical solution of the computer program, which are not described in detail, can be referred to the description of the technical solution of the signal mapping method based on satellite communication.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The computer instructions include computer program code that may be in source code form, object code form, executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of combinations of actions, but it should be understood by those skilled in the art that the embodiments are not limited by the order of actions described, as some steps may be performed in other order or simultaneously according to the embodiments of the present disclosure. Further, those skilled in the art will appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily all required for the embodiments described in the specification.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
The preferred embodiments of the present specification disclosed above are merely used to help clarify the present specification. Alternative embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the teaching of the embodiments. The embodiments were chosen and described in order to best explain the principles of the embodiments and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. This specification is to be limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. A signal mapping method based on satellite communication, which is applied to 256APSK, comprising:
acquiring symbol information and determining at least one constellation mapping diagram corresponding to the symbol information;
determining at least one mapping rule corresponding to the at least one constellation mapping diagram; wherein the mapping rule does not include an inverse trigonometric function operation;
determining initial data based on a mapping rule corresponding to the at least one constellation map and the symbol information;
mapping based on the initial data and the at least one constellation map, and determining target data;
wherein the at least one mapping rule comprises:
；
；
；
；
；
；
；
；
wherein, the llr (i) is initial data corresponding to the ith bit in the symbol information, and the value range of i is 1 to 8; the saidA radius from inside to outside for a concentric circle corresponding to the at least one constellation map; said->For the real part of the sign information, the +.>For the sign information imaginary part, the +.>Is the magnitude of the sign information.
2. The method of claim 1, wherein the obtaining the symbol information and determining at least one constellation map corresponding to the symbol information comprises:
acquiring symbol information, and determining eight bits of data according to the symbol information;
based on the eight-bit data, eight constellation maps corresponding to the eight-bit data are determined.
3. The method of claim 1, wherein said determining at least one mapping rule corresponding to said at least one constellation map comprises:
determining a target constellation map from the at least one constellation map;
and acquiring the image identification of the target constellation map, and determining a target mapping rule corresponding to the target constellation map based on the image identification.
4. A method according to claim 3, wherein said determining initial data based on the symbol information and the mapping rules corresponding to the at least one constellation map comprises:
determining a target calculation formula based on the target mapping rule;
initial data is determined based on the target calculation formula and the sign information.
5. The method of claim 4, wherein the mapping based on the initial data and the at least one constellation map to determine target data comprises:
determining a target region based on the initial data and the target constellation map;
target data is determined based on the initial data and the target region.
6. The method of claim 5, wherein the determining a target region based on the initial data and the target constellation map comprises:
determining a data type and a data value based on the initial data; wherein the data type includes positive data and negative data;
determining a target area according to the data type and the data value; wherein the target region is a region in the target constellation map.
7. The method of claim 6, wherein the determining target data based on the initial data and the target region comprises:
determining a data absolute value based on the data value of the initial data;
and determining target data according to the absolute value of the data.
8. A signal mapping device based on satellite communication, which is applied to 256APSK, comprising:
the data acquisition module is configured to acquire symbol information and determine at least one constellation mapping diagram corresponding to the symbol information;
a rule determining module configured to determine at least one mapping rule corresponding to the at least one constellation map; wherein the mapping rule does not include an inverse trigonometric function operation;
a data determining module configured to determine initial data based on a mapping rule corresponding to the at least one constellation map and the symbol information;
a data mapping module configured to map based on the initial data and the at least one constellation map, determining target data;
wherein the at least one mapping rule comprises:
；
；
；
；
；
；
；
；
wherein, the llr (i) is initial data corresponding to the ith bit in the symbol information, and the value range of i is 1 to 8; the saidA radius from inside to outside for a concentric circle corresponding to the at least one constellation map; said->For the real part of the sign information, the +.>For the sign information imaginary part, the +.>Is the magnitude of the sign information.
9. A computing device, comprising:
a memory and a processor;
the memory is configured to store computer executable instructions that, when executed by the processor, implement the steps of the satellite communication based signal mapping method of any one of claims 1 to 7.
10. A computer readable storage medium storing computer executable instructions which when executed by a processor implement the steps of the satellite communication based signal mapping method of any one of claims 1 to 7.
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