CN117729089A - ORAN modulation compression decompression method and system - Google Patents
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Abstract
The invention provides an ORAN modulation compression decompression method and system, and relates to the field of decompression. The processing mode of performing bit splicing and redefining of a data format by using the acquired IQ original data iqSample and the constellation offset indication csf is used for completing constellation point mapping and constellation reverse offset processing, so that the summary lookup table and reverse offset addition process in the prior art can be omitted, namely, the processing process of a plurality of lookup table lookup processes and 2 addition processes can be saved. In addition, through the processing mode of IQ data splicing and multiplying again, the processing mode of multiplying is used for completing 2 times of scaling multiplication processing of IQ in the prior art by using 1 time of multiplication process, and 1 time of multiplication processing process can be saved. Namely, the method can reduce the data processing calculation amount in the decompression process by optimizing the decompression method steps of ORAN modulation compression, thereby effectively improving the data processing efficiency and relieving the pressure of corresponding data transmission to a certain extent.
Description
Technical Field
The invention relates to the field of decompression, in particular to an ORAN modulation compression decompression method and system.
Background
The RAN Radio access network architecture in the ora consists of Centralized Units (CUS), distributed Units (DUs) and Radio Units (RU) according to the forwarding interface CUS protocol release 6 specification (O-ran.wg4.cus.0-v 06.00) organized by ORAN (Open RAN). Wherein the distributed units DU and the radio frequency units RU are connected using an ora forwarding (fronthaul) interface. The ORAN forwarding interface is an interface protocol defined on the basis of the IMT20205G protocol, and is more open and standardized compared with the traditional CPRI (Common Public Radio Interface) forwarding interface protocol, can support equipment interconnection of different equipment manufacturers, is greatly supported by a plurality of operators and equipment manufacturers in various countries of the world, and is rapidly developed.
In the ora fronthaul interface protocol, a variety of data transmission formats are defined, including non-compression, block floating point BFP (Block Floating Point) compression, block Scaling (Block Scaling) compression, μ -law compression, beam space compression, modulation compression, and RE selective transmission compression, among others. Since the transmission efficiency and transmission bandwidth of the forwarding interface are always important technical bottlenecks in the 5G and ora networks, data compression and transmission efficiency become one of the most important technical indexes. Modulation compression is greatly valued and rapidly developed due to its unparalleled compression efficiency, becoming one of the necessary functions in an ora network.
Modulation compression is defined in the ora CUS protocol as a method of IQ data compression suitable for downstream. Modulation compression uses limited bits to represent constellation points of IQ data, for example, only 2 states are used for I and Q in QPSK modulation, so that QPSK can be represented by 1 bit I and 1 bit Q, and similarly 64-QAM represents modulated constellation IQ data by 3 bits I and 3 bits Q, see fig. 1 (a) -1 (d). In order to enable IQ data in different modulation formats to be represented by data formats with the same bandwidth, the concept of constellation "offset" is introduced in the protocol (as shown in fig. 2 (a) -2 (d)), and fig. 2 (a) -2 (d) are respectively constellation diagrams of BPSK, QPSK, 16-QAM and 64QAM which undergo constellation offset in modulation compression. In an, whether the IQ data introduces a constellation offset is defined by the csf field in the extension type parameter in the protocol, '0' indicates that no constellation offset is introduced, and '1' indicates that a constellation offset is introduced. In an ORAN network, the O-DU tells the O-RU whether the constellation point needs to be reverse-shifted to recover the value of the original constellation point by the csf parameter. Meanwhile, the O-DU sets a specific power to IQ data by using a modcomp scaler (or mcScaleOffset) parameter. The modCompacter parameter is replied from a radix (mantissa) part and an exponent (exponents) part, and is calculated by the following formula: modCompscaler=mantissa×2 -exponent 。
The standard decompression method of modulation compression is defined in the ORAN CUS protocol, and is specifically as follows:
(1) Obtaining iqSample from the IQ data part in the user plane message according to the N bit width;
(2) Iqsample [0,2 ] N -1]Mapping to iqsampleFx < -1,1]Redefining the N-bit data into a format of Q1 (N-1), i.e., a 1-bit sign bit, 0-bit integer bit, N-1-bit decimal bit two's complement format;
(3) According to the extension type, for all REs or designated REs in the PRB: extracting "csf" and "modCompscaler" (or "mcScaleOffset") values from the C-Plane message, iqSamplex=iqSamplex+2 if "csf" = 1 -N Reverse offset is carried out on constellation points, and the utilization is carried outThe constellation points are scaled. After decompression, |iqsamplescaled|is less than or equal to 1, |iqsamplescaled|=1.0 corresponds to 0dBFs.
The demodulation process of the existing modulated compressed data can be represented by the flow in fig. 3 (assuming that the original IQ data bit width is 4 bits, the decompressed IQ data bit width is 16 bits, multiplied byBy being implemented in other modules on the link). That is, the existing standard decompression flow includes several lookup table lookup maps for each IQ data processing, 1 addressable shift, 2 additions, 2 multiplications, and a large data transmission pressure.
Disclosure of Invention
The invention aims to provide an ORAN modulation compression decompression method and system, which can reduce the data processing calculation amount in the decompression process by optimizing the decompression method steps of the ORAN modulation compression, thereby effectively improving the data processing efficiency and relieving the pressure of corresponding data transmission to a certain extent.
Embodiments of the present invention are implemented as follows:
in a first aspect, an embodiment of the present application provides a decompression method for an ora modulation compression, including the steps of:
acquiring IQ original data iqSample with preset bit width;
acquiring a corresponding constellation offset indication csf based on IQ original data iqSample;
splicing the offset indication csf to the end of the IQ original data iqSample to obtain a fixed point number Q1.N, and expressing I in the IQ original data as iSampleFx data and Q as qSampleFx data based on the fixed point number Q1. N;
performing splicing processing based on the iSampleFx data and the qSampleFx data to obtain iQSampleConcat data;
scaling the constellation points based on the iqsampleConcat data and the addressable shift information to obtain iqSampleScaled data;
IQ data separation and extraction are carried out based on iqSamplescaled data to obtain IQ decompressed data.
In some embodiments of the present invention, performing a stitching process based on the iSampleFx data and the qSampleFx data to obtain iSampleConcat data includes: and performing splicing processing based on iqsampleConcat= [ iSampleFx,15'b0,qSampleFxAbs ] to obtain iqsampleConcat data, wherein qsampleFxabs is data obtained by taking absolute values from qsampleFx data.
In some embodiments of the present invention, the above-mentioned acquisition approach of the addressable shift information includes at least one of modCompscaler or mcScaleOffset.
In some embodiments of the present invention, scaling the constellation point based on the iqsampleConcat data and the addressable shift information to obtain iqSampleScaled data includes: the iqSampleScaled data is obtained by scaling processing based on iqsamplescaler=modcompscaler×iqsampleconcat.
In some embodiments of the invention, the scaling includes constellation point scaling with a multiplier.
In some embodiments of the present invention, scaling the constellation point based on the iqsampleConcat data and the addressable shift information to obtain iqSampleScaled data includes: based onAnd performing scaling processing to obtain iqSampleScaled data.
In some embodiments of the present invention, the step of performing IQ data separation and extraction based on the iqSampleScaled data to obtain IQ decompressed data includes:
the iSampleScaled data is obtained based on iSampleScaled=iQSampleScaled [31+2N:16+2N ], and the qSampleAbsScaled data is obtained based on qSampleSquiled=iQSampleScaled [15+N ];
if qsamlefx is negative, then qSampleScaled data is obtained based on qsamplescaled= -qsampleabs scaled, otherwise qSampleScaled data is obtained based on qSampleScaled = qsampleabs scaled.
In a second aspect, embodiments of the present application provide an ora modulation compression decompression system, comprising:
the original data acquisition module is used for acquiring IQ original data iqSample with preset bit width;
the offset indication acquisition module is used for acquiring a corresponding constellation offset indication csf based on IQ original data iqSample;
the data reorganization module is used for splicing the offset indication cscf to the tail end of the IQ original data iqSample to obtain a fixed point number Q1.N, and expressing I in the IQ original data as iSampleFx data and Q as qSampleFx data based on the fixed point number Q1. N;
the data splicing processing module is used for carrying out splicing processing based on the iSampleFx data and the qSampleFx data to obtain iQSampleConcat data;
the scaling processing module is used for performing scaling processing on the constellation points based on the iqsampleConcat data and the addressable shift information to obtain iqSampleScaled data;
and the data separation and extraction module is used for carrying out IQ data separation and extraction based on the iqSamplescaled data to obtain IQ decompressed data.
In a third aspect, embodiments of the present application provide an electronic device comprising a memory for storing one or more programs; a processor. The method as described in any one of the first aspects is implemented when the one or more programs are executed by the processor.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as described in any of the first aspects above.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the embodiment of the invention provides an ORAN modulation compression decompression method, which is used for completing constellation point mapping and constellation reverse offset processing by utilizing a processing mode of performing bit splicing and redefining of a data format on acquired IQ original data iqSample and constellation offset indication csf, so that a summary lookup table and a reverse offset addition process in the prior art can be omitted, namely, a lookup table lookup process for a plurality of times and a processing process for 2 times of addition are saved. In addition, through the processing mode of IQ data splicing and multiplying again, the processing mode of multiplying is used for completing 2 times of scaling multiplication processing of IQ in the prior art by using 1 time of multiplication process, and 1 time of multiplication processing process can be saved. In a word, the invention can save 2 times of addition processing procedures, 1 time of multiplication processing procedures and a plurality of times of lookup table lookup procedures in the decompression process by optimizing the flow steps of the decompression of the ORAN modulation compression, so that the data processing calculation amount in the decompression process is effectively reduced, the decompression speed of the ORAN modulation compression is improved, and the pressure of corresponding data transmission is relieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 (a) is a BPSK constellation in modulation compression;
fig. 1 (b) is a QPSK constellation in modulation compression;
FIG. 1 (c) is a 16-QAM constellation in modulation compression;
fig. 1 (d) is a 64QAM constellation in modulation compression;
fig. 2 (a) is a constellation diagram of BPSK subjected to constellation shift in modulation compression;
fig. 2 (b) is a QPSK constellation with constellation offset in modulation compression;
fig. 2 (c) is a constellation diagram of constellation shifted 16-QAM in modulation compression;
fig. 2 (d) is a constellation diagram of 64QAM with constellation offset in modulation compression;
FIG. 3 is a schematic diagram of a standard decompression flow for ORAN modulation compression;
FIG. 4 is a flow chart of an embodiment of an ORAN modulation compression decompression method according to the present invention;
FIG. 5 is a flow chart of another embodiment of an ORAN modulation compression decompression method according to the present invention;
FIG. 6 is a block diagram illustrating an embodiment of an ORAN modulation compression decompression system according to the present invention;
fig. 7 is a block diagram of an electronic device according to an embodiment of the present invention.
Icon: 1. the original data acquisition module; 2. an offset indication acquisition module; 3. a data reorganization module; 4. a data splicing processing module; 5. a scaling processing module; 6. a data separation and extraction module; 7. a memory; 8. a processor; 9. a communication interface.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like, if any, are used solely for distinguishing the description and are not to be construed as indicating or implying relative importance.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the description of the present application, it should be noted that, if the terms "upper," "lower," "inner," "outer," and the like indicate an azimuth or a positional relationship based on the azimuth or the positional relationship shown in the drawings, or an azimuth or the positional relationship that the product of the application is commonly put in use, it is merely for convenience of describing the present application and simplifying the description, and does not indicate or imply that the apparatus or element to be referred to must have a specific azimuth, be configured and operated in a specific azimuth, and thus should not be construed as limiting the present application.
In the description of the present application, it should also be noted that, unless explicitly stated and limited otherwise, the terms "disposed," "connected," and "connected" should be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The various embodiments and features of the embodiments described below may be combined with one another without conflict.
Examples
Referring to fig. 4-5, the method for decompressing an modulation compression of an apparatus comprises the following steps:
step S101: and acquiring IQ original data iqSample with preset bit width.
In modern wireless communication, IQ modulation belongs to a standard configuration and is often applied to signal modulation and demodulation links of a communication system. The application of the IQ modulation simplifies the hardware structure of the communication equipment, improves the utilization efficiency of spectrum resources and improves the stability of signal transmission. The IQ signal is also called a homodromous quadrature signal, I is in-phase, Q is quadrature, and the phase difference between Q and I is 90 °. The IQ signal is the mapping of the continuous signal in the two-dimensional rectangular coordinate system, and the mapped IQ signal can conveniently extract the characteristics of the instantaneous amplitude, the instantaneous phase and the like of the original signal, so that the original signal can be reconstructed. It can be said that IQ signals are true mappings of original signals in a three-dimensional coordinate system, and all features of the signals are completely reflected. In the above steps, by acquiring IQ raw data iqSample with a preset bit width, raw data support can be provided for subsequent processing. The IQ raw data iqSample acquisition approach includes acquiring IQ data portions in a user plane message.
Step S102: acquiring a corresponding constellation offset indication csf based on IQ original data iqSample;
step S103: and splicing the offset indication csf to the end of the IQ original data iqSample to obtain a fixed point number Q1.N, and representing I in the IQ original data as iSampleFx data and Q as qSampleFx data based on the fixed point number Q1. N.
In the above step, the modulation compressed IQ raw data iqSample is not mapped into IQ values in constellation points through a lookup table, but the compressed IQ data is interpreted as a binary complement signed number in the format of Q1 (N-1) (where the acquired IQ raw data iqSample is assumed to be N bits wide, N is a positive integer). That is, the obtained corresponding constellation offset indication csf is spliced to the end of the IQ raw data iqSample, and the reverse offset can be completed. Thus eliminating the need to look up the reverse offset value through a look-up table and then add it to iqSampleFx as in the prior art. The principle is that the offset value is 2 -N And iqSampleFx has the format Q1 (N-1), 2 -N Adding the offset value of (2) to iqSampleFx is equivalent to concatenating the csf to the end of iqSampleFx. Therefore, the processes of one lookup table lookup and 2 additions can be omitted through the steps, so that the data processing efficiency is effectively improved.
Step S104: and performing splicing processing based on the iSampleFx data and the qSampleFx data to obtain iQSampleConcat data.
In the above steps, by performing the stitching process based on the isamplex data and the qSampleFx data, the original data support can be provided for the subsequent scaling process.
Illustratively, performing the splicing process based on the iSampleFx data and the qSampleFx data to obtain iSampleConcat data may include: and performing splicing processing based on iqsampleConcat= [ iSampleFx,15'b0,qSampleFxAbs ] to obtain iqsampleConcat data, wherein qsampleFxabs is data obtained by taking absolute values from qsampleFx data.
In the above step, the concatenation processing is performed based on iqsampleConcat= [ iSampleFx,15'b0,qSampleFxAbs ], that is, the qsampleFxabs of the data obtained by taking the absolute value of the qsampleFx data is spliced to the back of the number of 15 bits 0, and then the whole is spliced to the back of the isampleFx data, thereby obtaining iqsampleConcat data. Because the bit width N of the IQ raw data iqSample is generally smaller (not more than 4), the general multipliers are large-bit-width multipliers (for example, the DSP48E2 multiplier of the siren FPGA is a multiplier of 27×18). Therefore, we can finish the steps of two multiplications by one multiplication in a way of splicing the two IQ numbers into one high-bit wide number and then performing scaled multiplication, and considering that the modCompScale/msScaleOffset is a 15-bit number, the overlap of the IQ scaled data bits can be effectively avoided by inserting 15-bit 0 in the middle when the iqSamplex data is spliced. Thus, after the subsequent multiplication is completed (scaling process), scaled iqSampleScaled data can be obtained by extracting corresponding bits from the data of the output result. In this step, 2 multiplications are converted into 1 multiplication through data splicing and large bit width multiplication, so that 1 multiplication operation can be saved. It should be noted that if the qsamlefx data is negative, the qsamlefx data needs to be inverted before and after multiplication, respectively, to avoid symbol errors.
Step S105: and scaling the constellation points based on the iqsampleConcat data and the addressable shift information to obtain iqSampleScaled data.
In the above step, the method for obtaining the addressable shift information includes at least one of modCompscaler or mcScaleOffset.
Illustratively, scaling the constellation points based on the iqsampleConcat data and the addressable shift information to obtain iqSampleScaled data includes: the iqSampleScaled data is obtained by scaling processing based on iqsamplescaler=modcompscaler×iqsampleconcat.
In the above steps, the scaling of the constellation points based on iqsamplescaler=modcompscaler×iqsampleconcat may be completed by performing the scaling of the constellation points using a multiplier. Wherein the standard decompression method of modulation compression defined in the ORAN CUS protocol is multiplied byNot by the above-mentioned multipliers but by other modules on the link (e.g. multiplying digital filter coefficients on the link +.>) The operation pressure of the multiplier can be relieved to a certain extent, and the processing efficiency of the multiplier is improved.
In addition, the scaling processing is performed on the constellation point based on the iqsampleConcat data and the addressable shift information, and the obtaining iqSampleScaled data may further include: based onAnd performing scaling processing to obtain iqSampleScaled data. That is, multiplication by +.f in the standard decompression method of modulation compression defined in the ORAN CUS protocol>The process of the method can be directly realized through the multiplier, so that the situation that data processing errors possibly occur when processing is performed on other modules is avoided, and the true effectiveness of the data is effectively ensured.
Step S106: IQ data separation and extraction are carried out based on iqSamplescaled data to obtain IQ decompressed data.
In the above steps, IQ data separation and extraction are performed on the iqSampleScaled data obtained by scaling, so that corresponding IQ decompressed data can be obtained, and data decompression is completed.
Specifically, the steps of IQ data separation and extraction based on the iqSampleScaled data to obtain IQ decompressed data include:
the iSampleScaled data is obtained based on iSampleScaled=iQSampleScaled [31+2N:16+2N ], and the qSampleAbsScaled data is obtained based on qSampleSquiled=iQSampleScaled [15+N ];
if qsamlefx is negative, then qSampleScaled data is obtained based on qsamplescaled= -qsampleabs scaled, otherwise qSampleScaled data is obtained based on qSampleScaled = qsampleabs scaled.
Based on the same inventive concept, referring to fig. 6, the present invention further provides an ora modulation compression decompression system, which includes:
the original data acquisition module 1 is used for acquiring IQ original data iqSample with preset bit width;
the offset indication acquisition module 2 is configured to acquire a corresponding constellation offset indication csf based on IQ raw data iqSample;
the data reorganizing module 3 is configured to splice the offset indication csf to the end of the IQ raw data iqSample, obtain a fixed point number q1.n, and represent I in the IQ raw data as the I samplefx data and Q as the qSampleFx data based on the fixed point number q1.n;
the data splicing processing module 4 is used for carrying out splicing processing based on the iSampleFx data and the qSampleFx data to obtain iQSampleConcat data;
the scaling processing module 5 is configured to perform scaling processing on the constellation point based on the iqsampleConcat data and the addressable shift information, so as to obtain iqSampleScaled data;
and the data separation and extraction module 6 is used for performing IQ data separation and extraction based on the iqSampleScaled data to obtain IQ decompressed data.
The specific implementation process of the above system refers to an orcan modulation compression decompression method provided in the embodiments of the present application, which is not described herein.
Referring to fig. 7, fig. 7 is a block diagram of an electronic device according to an embodiment of the present invention. The electronic device comprises a memory 7, a processor 8 and a communication interface 9, wherein the memory 7, the processor 8 and the communication interface 9 are electrically connected with each other directly or indirectly so as to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 7 may be used to store software programs and modules, such as program instructions/modules corresponding to an orc modulation compression decompression system provided in the embodiments of the present application, and the processor 8 executes the software programs and modules stored in the memory 7, thereby performing various functional applications and data processing. The communication interface 9 may be used for communication of signaling or data with other node devices.
The Memory 7 may be, but is not limited to, a random access Memory (Random Access Memory, RAM), a Read Only Memory (ROM), a programmable Read Only Memory (Programmable Read-Only Memory, PROM), an erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.
The processor 8 may be an integrated circuit chip with signal processing capabilities. The processor 8 may be a general purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
It will be appreciated that the configuration shown in fig. 7 is merely illustrative, and that the electronic device may also include more or fewer components than shown in fig. 7, or have a different configuration than shown in fig. 7. The components shown in fig. 7 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners as well. The apparatus embodiments described above are merely illustrative, for example, flow diagrams and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
The above functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made 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.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A decompression method of an modulation compression, comprising the steps of:
acquiring IQ original data iqSample with preset bit width;
acquiring a corresponding constellation offset indication csf based on IQ original data iqSample;
splicing the offset indication csf to the end of the IQ original data iqSample to obtain a fixed point number Q1.N, and expressing I in the IQ original data as iSampleFx data and Q as qSampleFx data based on the fixed point number Q1. N;
performing splicing processing based on the iSampleFx data and the qSampleFx data to obtain iQSampleConcat data;
scaling the constellation points based on the iqsampleConcat data and the addressable shift information to obtain iqSampleScaled data;
IQ data separation and extraction are carried out based on iqSamplescaled data to obtain IQ decompressed data.
2. The method for decompressing an ORAN modulation compression according to claim 1, wherein the performing a splicing process based on the isamplex data and the qSampleFx data to obtain the isamplecontat data comprises: and performing splicing processing based on iqsampleConcat= [ iSampleFx,15'b0,qSampleFxAbs ] to obtain iqsampleConcat data, wherein qsampleFxabs is data obtained by taking absolute values from qsampleFx data.
3. The method of claim 1, wherein the acquisition path of the addressable shift information comprises at least one of modCompaler or mcScaleOffset.
4. A method for decompressing an ORAN modulation compression as claimed in claim 3, wherein the scaling the constellation points based on the iqSampleConcat data and the addressable shift information to obtain the iqSampleScaled data comprises: the iqSampleScaled data is obtained by scaling processing based on iqsamplescaler=modcompscaler×iqsampleconcat.
5. The method of claim 4, wherein the scaling comprises constellation point scaling using multipliers.
6. A method for decompressing an ORAN modulation compression as claimed in claim 3, wherein the scaling the constellation points based on the iqSampleConcat data and the addressable shift information to obtain the iqSampleScaled data comprises: based on And performing scaling processing to obtain iqSampleScaled data.
7. The method for decompressing an ORAN modulation compression according to claim 1, wherein the step of IQ data separation and extraction based on iqSampleScaled data to obtain IQ decompressed data comprises:
the iSampleScaled data is obtained based on iSampleScaled=iQSampleScaled [31+2N:16+2N ], and the qSampleAbsScaled data is obtained based on qSampleSquiled=iQSampleScaled [15+N ];
if qsamlefx is negative, then qSampleScaled data is obtained based on qsamplescaled= -qsampleabs scaled, otherwise qSampleScaled data is obtained based on qSampleScaled = qsampleabs scaled.
8. An ora modulation compression decompression system, comprising:
the original data acquisition module is used for acquiring IQ original data iqSample with preset bit width;
the offset indication acquisition module is used for acquiring a corresponding constellation offset indication csf based on IQ original data iqSample;
the data reorganization module is used for splicing the offset indication cscf to the tail end of the IQ original data iqSample to obtain a fixed point number Q1.N, and expressing I in the IQ original data as iSampleFx data and Q as qSampleFx data based on the fixed point number Q1. N;
the data splicing processing module is used for carrying out splicing processing based on the iSampleFx data and the qSampleFx data to obtain iQSampleConcat data;
the scaling processing module is used for performing scaling processing on the constellation points based on the iqsampleConcat data and the addressable shift information to obtain iqSampleScaled data;
and the data separation and extraction module is used for carrying out IQ data separation and extraction based on the iqSamplescaled data to obtain IQ decompressed data.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the method of any of claims 1-7 is implemented when the one or more programs are executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the method according to any of claims 1-7.
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