CN114006795A - Method and device for determining linear difference of 5G channel estimation data - Google Patents
Method and device for determining linear difference of 5G channel estimation data Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/0224—Channel estimation using sounding signals
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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
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a method and a device for determining a linear difference value of 5G channel estimation data. The invention comprises the following steps: acquiring first data of a pilot frequency point, wherein the first data of the pilot frequency point is partial data corresponding to the pilot frequency point; according to the first data of the pilot frequency points, first data of non-pilot frequency points are calculated, and the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points; calculating second data of the pilot frequency points and second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points, wherein the second data of the pilot frequency points and the first data of the pilot frequency points form all data of the pilot frequency points, and the second data of the non-pilot frequency points and the first data of the non-pilot frequency points form all data of the non-pilot frequency points; and outputting the pilot frequency point data and the non-pilot frequency point data. The invention solves the technical problem of low efficiency of the calculation method of the linear difference of the channel estimation data in the related technology.
Description
Technical Field
The invention relates to the field of communication, in particular to a method and a device for determining a linear difference value of 5G channel estimation data.
Background
In the related art, in the 5G wireless communication system technology, a channel is time-varying, the quality of the channel greatly affects the transmission of data, and in order to ensure the correctness of received data and minimize the influence caused by the channel, when the data is received, the data needs to be analyzed according to a DMRS pilot frequency point signal in information, so as to estimate the quality of the channel. Channel equalization is to compensate the channel by using known information, and to eliminate or reduce the interference caused by the time variation of the channel to the channel.
Channel estimation is an important functional module at a receiving end, and since a signal is transmitted through a wireless fading channel, physical factors affecting multipath fading in the wireless channel are many, such as multipath propagation, a motion speed of a mobile station, a transmission bandwidth of the channel, and the like. In order to be able to correctly recover the transmitted signal, accurate analysis and estimation of the channel parameters and the associated characteristics of the wireless channel is necessary. The channel estimation module mainly estimates the characteristics of a wireless channel through which a signal is transmitted, and is used for signal recovery. The quality of the channel estimation performance directly determines the reception performance of the receiver. The currently estimated parameters are used for reflecting the change of the channel characteristics and are output to be used as the subsequent channel equalization.
The reference information source of the channel estimation is as follows, for the symbol with the reference signal, the frequency domain channel information of the whole symbol is obtained by linear interpolation, and the time domain channel information is obtained by linear interpolation of the frequency domain information. Due to the characteristics of channel estimation, the channel estimation can also only perform estimation calculation on the pilot frequency points of the pilot frequency symbols, linear interpolation is performed on the estimated pilot frequency signals, similarly, channel estimation values of all the symbols, namely frequency domain interpolation, are obtained, and interpolation is performed on interpolation results of different pilot frequency symbols, so that channel estimation values of all time domains, namely time domain interpolation, are obtained.
The general time-frequency interpolation is realized by performing frequency-domain interpolation on the pilot symbols to obtain all frequency-domain channel estimation results, storing the frequency-domain channel estimation results, and performing time-domain interpolation on the stored frequency-domain interpolation results of the pilot symbols to obtain all channel estimation results. The implementation method needs a large amount of storage resources and computing units because the computing is carried out in two steps, two parts of repeated computing units are needed, the computing units are not used simultaneously, and intermediate results need to be stored.
Meanwhile, in the calculation method in the related art, part of data of the non-pilot points is calculated basically through the known data of the pilot points, the calculated data is stored, and then the remaining unknown data of the pilot points and the non-pilot points are calculated respectively through a frequency domain interpolation algorithm.
In view of the above problems in the related art, no effective solution has been proposed.
Disclosure of Invention
The invention mainly aims to provide a method and a device for determining a linear difference value of 5G channel estimation data, so as to solve the technical problem that a method for calculating the linear difference value of the channel estimation data in the related art is low in efficiency.
To achieve the above object, according to one aspect of the present invention, there is provided a 5G channel estimation data linear difference determining method. The invention comprises the following steps: acquiring first data of a pilot frequency point, wherein the first data of the pilot frequency point is partial data corresponding to the pilot frequency point; according to the first data of the pilot frequency points, first data of non-pilot frequency points are calculated, and the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points; calculating second data of the pilot frequency points and second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points, wherein the second data of the pilot frequency points and the first data of the pilot frequency points form all data of the pilot frequency points, and the second data of the non-pilot frequency points and the first data of the non-pilot frequency points form all data of the non-pilot frequency points; and outputting the pilot frequency point data and the non-pilot frequency point data.
Further, the acquiring the first data of the pilot points includes: acquiring first data of a first pilot frequency point and first data of a second pilot frequency point, wherein the position of the first pilot frequency point, the position of the second pilot frequency point and the position of the non-pilot frequency point are in the same target row or in the same target column.
Further, when the position of the non-pilot frequency point is located at the middle position of the first pilot frequency point and the second pilot frequency point, the non-pilot frequency point first data is calculated according to the pilot frequency point first data, and the method includes: according to the first data of the first pilot frequency point and the first data of the second pilot frequency point, calculating the first data of the non-pilot frequency point through a time domain interpolation calculation formula, wherein the time domain interpolation calculation formula is as follows:
Wa＝(1-nα)Wb+nαWc，
wherein, WaIs the first data of the non-pilot frequency point, n is the pilot frequency interval, alpha is the calculation coefficient, WbFor the first data, W, of the first pilot pointcAnd the first data is distributed to the second pilot frequency.
Further, when the position of the non-pilot frequency point is located at one side position of the first pilot frequency point and the second pilot frequency point, the non-pilot frequency point first data is calculated according to the pilot frequency point first data, and the method further includes: determining a first distance between the non-pilot frequency point and the first pilot frequency point; determining a second distance between the non-pilot frequency point and the second pilot frequency point; judging the length relation between the first distance and the second distance; if the first distance is shorter, determining the first data of the first pilot frequency point as the data of the non-pilot frequency point; and if the second distance is shorter, determining the first data of the second pilot frequency point as the data of the non-pilot frequency point.
Further, calculating the second data of the pilot frequency points and the second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points comprises: calculating second data of the pilot frequency points by a frequency domain interpolation algorithm according to the first data of the pilot frequency points; and calculating the second data of the non-pilot frequency points by a frequency domain interpolation algorithm according to the second data of the pilot frequency points.
In order to achieve the above object, according to another aspect of the present invention, there is provided a 5G channel estimation data linear difference determining apparatus. The device includes: the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring first data of a pilot frequency point, and the first data of the pilot frequency point is partial data corresponding to the pilot frequency point; the computing unit is used for computing the first data of the non-pilot frequency points according to the first data of the pilot frequency points, wherein the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points; the calculating unit is configured to calculate second data of the pilot frequency points and second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points, where the second data of the pilot frequency points and the first data of the pilot frequency points constitute all data of the pilot frequency points, and the second data of the non-pilot frequency points and the first data of the non-pilot frequency points constitute all data of the non-pilot frequency points; and the data path is used for outputting the pilot frequency point data and the non-pilot frequency point data.
In order to achieve the above object, according to an aspect of the present invention, there is provided a computer-readable storage medium, which includes a stored program, and when the program runs, controls an apparatus where the computer-readable storage medium is located to execute the above 5G channel estimation data linear difference determining method.
To achieve the above object, according to one aspect of the present invention, a processor for executing a program is provided, where the program executes to execute the above 5G channel estimation data linear difference determining method.
The invention adopts the following steps: acquiring first data of a pilot frequency point, wherein the first data of the pilot frequency point is partial data corresponding to the pilot frequency point; according to the first data of the pilot frequency points, first data of non-pilot frequency points are calculated, and the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points; calculating second data of the pilot frequency points and second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points, wherein the second data of the pilot frequency points and the first data of the pilot frequency points form all data of the pilot frequency points, and the second data of the non-pilot frequency points and the first data of the non-pilot frequency points form all data of the non-pilot frequency points; the pilot frequency point data and the non-pilot frequency point data are output, the technical problem that the efficiency of a method for calculating the linear difference of the channel estimation data in the related technology is low is solved, and the technical effect of improving the utilization rate of the control logic circuit is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a method for determining linear difference of 5G channel estimation data according to an embodiment of the present invention; and
FIG. 2 is a diagram of a channel pilot point and a non-pilot point;
FIG. 3 is a schematic diagram of a time domain symbol;
fig. 4 is a schematic diagram of a 5G channel estimation data linear difference determining apparatus according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the invention herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the invention, a 5G channel estimation data linear difference determining method is provided.
Fig. 1 is a flowchart of a method for determining linear difference of 5G channel estimation data according to an embodiment of the present invention. As shown in fig. 1, the present invention comprises the steps of:
step S101, acquiring first data of a pilot frequency point, wherein the first data of the pilot frequency point is partial data corresponding to the pilot frequency point;
step S102, according to the first data of the non-pilot frequency points, calculating the first data of the non-pilot frequency points, wherein the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points;
step S103, calculating second data of the pilot frequency points and second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points, wherein the second data of the pilot frequency points and the first data of the pilot frequency points form all data of the pilot frequency points, and the second data of the non-pilot frequency points and the first data of the non-pilot frequency points form all data of the non-pilot frequency points;
and step S104, outputting the pilot frequency point data and the non-pilot frequency point data.
In the embodiments provided by the present application, to avoid storing the frequency domain interpolation result, the originally separate frequency domain interpolation calculation and time domain interpolation calculation in the related art are merged together for calculation and merged into one calculation unit for calculation, specifically, taking fig. 2 as an example, fig. 2 is a schematic diagram of a channel pilot point and a non-pilot point, where, in the frequency domain, a double-line shadow part and a single-diagonal shadow part are pilot points carrying DMRS pilot point data, and in the time domain, all non-shadow parts need to calculate corresponding data through time domain interpolation, in the embodiments provided by the present application, part of data of the non-pilot point is calculated through known data of the pilot point, then data of the pilot point and an unknown part corresponding to the non-pilot point are calculated according to the known information of the pilot point and the known information of the non-pilot point, and the data of the unknown part corresponding to the non-pilot point in the related art is omitted through the above calculation, the step of storing the unknown data omits a storage step and a storage space, and achieves the technical effect of improving the calculation efficiency.
According to the method for determining the linear difference value of the 5G channel estimation data, provided by the embodiment of the invention, the first data of the pilot frequency point is obtained, wherein the first data of the pilot frequency point is part of data corresponding to the pilot frequency point; according to the first data of the pilot frequency points, first data of non-pilot frequency points are calculated, and the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points; calculating second data of the pilot frequency points and second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points, wherein the second data of the pilot frequency points and the first data of the pilot frequency points form all data of the pilot frequency points, and the second data of the non-pilot frequency points and the first data of the non-pilot frequency points form all data of the non-pilot frequency points; the pilot frequency point data and the non-pilot frequency point data are output, the technical problem that the efficiency of a method for calculating the linear difference of the channel estimation data in the related technology is low is solved, and the technical effect of improving the utilization rate of the control logic circuit is achieved.
In an optional embodiment, the obtaining the first data of the pilot points includes: and acquiring first data of a first pilot frequency point and first data of a second pilot frequency point, wherein the position of the first pilot frequency point, the position of the second pilot frequency point and the position of the non-pilot frequency point are in the same target row or in the same target column.
In the above-mentioned embodiment, since the data of the non-pilot frequency points is calculated by performing interpolation calculation on the pilot frequency point data, the known data of the points needs to be obtained, the known data of two pilot frequency points in the same row or the same column as the non-pilot frequency points needs to be obtained, and the partial data of the non-pilot frequency points is calculated by using the two known data and the interpolation calculation.
In an alternative embodiment, when the position of the non-pilot point is located in the middle of the first pilot point and the second pilot point, the non-pilot point first data is calculated according to the pilot point first data, and the method includes: according to the first data of the first pilot frequency point and the first data of the second pilot frequency point, the first data of the non-pilot frequency point is calculated through a time domain interpolation calculation formula, wherein the time domain interpolation calculation formula is as follows:
Wa＝(1-nα)Wb+nαWc，
wherein, WaIs the first data of non-pilot frequency point, n is pilot frequency interval, alpha is calculation coefficient, WbFor a first data, W, of a first pilot pointcThe first data is transmitted for the second pilot.
Optionally, in an optional embodiment, when the position of the non-pilot point is located at a side position of the first pilot point and the second pilot point, the non-pilot point first data is calculated according to the pilot point first data, and the method further includes: determining a first distance between a non-pilot point and a first pilot point; determining a second distance between the non-pilot point and the second pilot point; judging the length relation between the first distance and the second distance; if the first distance is shorter, determining the first data of the first pilot frequency point as the data of the non-pilot frequency point; and if the second distance is shorter, determining the first data of the second pilot frequency point as the data of the non-pilot frequency point.
Specifically, in the method for calculating linear interpolation in frequency domain, the existing pilot frequency points are used to calculate the data of non-pilot frequency points, and the following formula can be used for interpolation calculation under different pilot frequency intervals, specifically:
Wa＝(1-nα)Wb+nαWcwherein W isaIs the first data of non-pilot frequency point, n is pilot frequency interval, n is constant value, alpha is calculation coefficient, WbFor a first data, W, of a first pilot pointcThe first data is transmitted for the second pilot.
Furthermore, when time domain calculation is carried out, the calculated equalization matrix is a matrix with different orders according to the difference of the number of receiving antennas and the number of layers, according to the formula, calculating one path of data (wherein, when calculating one path of data, the real part and the imaginary part are separately calculated) needs to carry out two times of multiplication and one time of addition operation, the coefficient is calculated before entering the mac of the data channel, which is similar to the frequency domain interpolation, the formula for carrying out the interpolation of corresponding points of the DMRS pilot points is as follows, the iteration of coefficients is not needed, the calculation formula of the rest points is the same as the frequency domain interpolation, specifically as shown in fig. 3, fig. 3 is a schematic diagram of a time domain symbol, which is illustrated by fig. 3, when the frequency domain interpolation of symbol0 is carried out, the data in re0 is directly copied to the data in re1, the data in re1 and re2 are read and then directly output, and the data in re3, re4, re5 and re6 are obtained by carrying out interpolation on the data in re2 and re 7. The data in re15-18 results from copying the data in re 14.
Interpolation is needed for symbol 3, time domain interpolation is conducted on data in re0, namely, data in symbol0 and data in re1 of symbol5, and re1 directly copies a re0 calculation result. re2 is obtained by time domain interpolation calculation, and then re7 is calculated, and re3-6 is obtained by frequency domain interpolation calculation for re2 and re 7.
In the frequency domain interpolation calculation method provided by the application, non-pilot points before the first pilot point and after the last pilot point directly copy the values of the pilot points which are closest to each other. And calculating the data of the rest positions according to an interpolation formula.
In an optional embodiment, calculating the second data of the pilot frequency points and the second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points includes: calculating second data of the pilot frequency points by a frequency domain interpolation algorithm according to the first data of the pilot frequency points; and calculating the second data of the non-pilot frequency points by a frequency domain interpolation algorithm according to the second data of the pilot frequency points.
As described above, after the data of the non-pilot points is calculated according to the known data of the pilot points, the frequency domain interpolation calculation method is used to calculate the pilot points and the unknown data corresponding to the non-pilot points.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
The embodiment of the present invention further provides a device for determining a linear difference of 5G channel estimation data, and it should be noted that the device for determining a linear difference of 5G channel estimation data according to the embodiment of the present invention may be used to implement the method for determining a linear difference of 5G channel estimation data according to the embodiment of the present invention. The following describes a 5G channel estimation data linear difference determining apparatus provided in an embodiment of the present invention.
Fig. 4 is a schematic diagram of a 5G channel estimation data linear difference determining apparatus according to an embodiment of the present invention. As shown in fig. 4, the apparatus includes: a first obtaining unit 401, configured to obtain first data of a pilot point, where the first data of the pilot point is partial data corresponding to the pilot point; a calculating unit 402, configured to calculate first data of non-pilot points according to the first data of pilot points, where the first data of non-pilot points are part of data corresponding to the non-pilot points; a calculating unit 402, configured to calculate second data of the pilot frequency point and second data of the non-pilot frequency point according to the first data of the pilot frequency point and the first data of the non-pilot frequency point, where the second data of the pilot frequency point and the first data of the pilot frequency point constitute all data of the pilot frequency point, and the second data of the non-pilot frequency point and the first data of the non-pilot frequency point constitute all data of the non-pilot frequency point; the data path 403 is used for outputting pilot point data and non-pilot point data.
The calculating unit 402 is mainly composed of a multiplier, two subtractors and a plurality of registers, wherein the multiplier is used as a core, the multiplier comprises two multiplications and one addition, and the decimal point alignment operation on the accumulated result, the multiplier completes two multiplications and two accumulation operations in one clock cycle, and the decimal point alignment operation is completed in the second cycle. Because the data which needs to be simultaneously operated by the real part and the imaginary part and comes in has the real part and the imaginary part, two dual _ macs are arranged to meet the operation amount, the interpolation coefficient is subjected to iterative operation by two subtracters, and the input and the output of the data need to pass through FIFO.
Meanwhile, data path 403 is divided into three sections, the first being the input FIFO section, the second being the MAC computation (multiplication and addition) section, and the third being the output FIFO section. The data to be operated is circularly read in by two input data FIFO and enters the MAC part for calculation, and when the edge processing data of each symbol, namely the data needing copy output, is sent to a copy register for registering.
In a specific calculation, the state control uses the concept of an instruction set to decompose operations that need to be performed by different data paths 403 into different fixed simple actions, and different data path 403 requirements are completed through different instruction combinations. The fixed-top clock period of the copy register is automatically written into the FIFO for output, so that only the data processing operation in the middle of each symbol needs to be subjected to state control.
In an alternative embodiment, the first obtaining unit 401 includes: and the acquisition subunit is used for acquiring first data of the first pilot frequency point and first data of the second pilot frequency point, wherein the position of the first pilot frequency point, the position of the second pilot frequency point and the position of the non-pilot frequency point are in the same target row or in the same target column.
In an alternative embodiment, when the position of the non-pilot point is located in the middle of the first pilot point and the second pilot point, the calculating unit 402 includes: the first calculating subunit is configured to calculate, according to the first data of the first pilot point and the first data of the second pilot point, the first data of the non-pilot point by using a time domain interpolation calculation formula, where the time domain interpolation calculation formula is:
Wa＝(1-nα)Wb+nαWc，
wherein, WaIs the first data of non-pilot frequency point, n is pilot frequency interval, alpha is calculation coefficient, WbFor a first data, W, of a first pilot pointcThe first data is transmitted for the second pilot.
In an alternative embodiment, when the positions of the non-pilot points are located at one side of the first pilot point and the second pilot point, the calculating unit 402 comprises: the first determining subunit is used for determining a first distance between the non-pilot point and the first pilot point; a second determining subunit, configured to determine a second distance between the non-pilot point and the second pilot point; the judging subunit is used for judging the length relationship between the first distance and the second distance; the third determining subunit is configured to determine, when the first distance is short, the first data of the first pilot frequency point as data of a non-pilot frequency point; and the fourth determining subunit is configured to determine the first data of the second pilot frequency point as the data of the non-pilot frequency point under the condition that the second distance is shorter.
In an alternative embodiment, the computing unit 402 comprises: the second calculating subunit is used for calculating second data of the pilot frequency point through a frequency domain interpolation algorithm according to the first data of the pilot frequency point; and the third calculation subunit is used for calculating the second data of the non-pilot frequency points through a frequency domain interpolation algorithm according to the second data of the pilot frequency points.
The device for determining the linear difference of the 5G channel estimation data provided by the embodiment of the present invention is configured to, by a first obtaining unit 401, obtain first data of a pilot point, where the first data of the pilot point is partial data corresponding to the pilot point; a calculating unit 402, configured to calculate first data of non-pilot points according to the first data of pilot points, where the first data of non-pilot points are part of data corresponding to the non-pilot points; a calculating unit 402, configured to calculate second data of the pilot frequency point and second data of the non-pilot frequency point according to the first data of the pilot frequency point and the first data of the non-pilot frequency point, where the second data of the pilot frequency point and the first data of the pilot frequency point constitute all data of the pilot frequency point, and the second data of the non-pilot frequency point and the first data of the non-pilot frequency point constitute all data of the non-pilot frequency point; the data path 403 is used for outputting pilot frequency point data and non-pilot frequency point data, so that the technical problem of low efficiency of a method for calculating a linear difference value of channel estimation data in the related art is solved, and the technical effect of improving the utilization rate of a control logic circuit is achieved.
A5G channel estimation data linear difference determining device comprises a processor and a memory, wherein the units and the like are stored in the memory as program units, and the corresponding functions are realized by executing the program units stored in the memory by the processor.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the technical problem that the calculation method of the channel estimation data linear difference in the related technology is low in efficiency is solved by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium having a program stored thereon, where the program, when executed by a processor, implements a method for determining linear difference of 5G channel estimation data.
The embodiment of the invention provides a processor, which is used for running a program, wherein the method for determining the linear difference of 5G channel estimation data is executed when the program runs.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: acquiring first data of a pilot frequency point, wherein the first data of the pilot frequency point is partial data corresponding to the pilot frequency point; according to the first data of the pilot frequency points, first data of non-pilot frequency points are calculated, and the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points; calculating second data of the pilot frequency points and second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points, wherein the second data of the pilot frequency points and the first data of the pilot frequency points form all data of the pilot frequency points, and the second data of the non-pilot frequency points and the first data of the non-pilot frequency points form all data of the non-pilot frequency points; and outputting the pilot frequency point data and the non-pilot frequency point data.
Optionally, the obtaining the first data of the pilot frequency point includes: and acquiring first data of a first pilot frequency point and first data of a second pilot frequency point, wherein the position of the first pilot frequency point, the position of the second pilot frequency point and the position of the non-pilot frequency point are in the same target row or in the same target column.
Optionally, when the position of the non-pilot frequency point is located in the middle of the first pilot frequency point and the second pilot frequency point, the non-pilot frequency point first data is calculated according to the pilot frequency point first data, and the method includes: according to the first data of the first pilot frequency point and the first data of the second pilot frequency point, the first data of the non-pilot frequency point is calculated through a time domain interpolation calculation formula, wherein the time domain interpolation calculation formula is as follows:
Wa＝(1-nα)Wb+nαWc，
wherein, WaIs the first data of non-pilot frequency point, n is pilot frequency interval, alpha is calculation coefficient, WbFor a first data, W, of a first pilot pointcThe first data is transmitted for the second pilot.
Optionally, when the position of the non-pilot frequency point is located at a side position of the first pilot frequency point and the second pilot frequency point, the non-pilot frequency point first data is calculated according to the pilot frequency point first data, and the method further includes: determining a first distance between a non-pilot point and a first pilot point; determining a second distance between the non-pilot point and the second pilot point; judging the length relation between the first distance and the second distance; if the first distance is shorter, determining the first data of the first pilot frequency point as the data of the non-pilot frequency point; and if the second distance is shorter, determining the first data of the second pilot frequency point as the data of the non-pilot frequency point.
Optionally, calculating the second data of the pilot frequency points and the second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points includes: calculating second data of the pilot frequency points by a frequency domain interpolation algorithm according to the first data of the pilot frequency points; and calculating the second data of the non-pilot frequency points by a frequency domain interpolation algorithm according to the second data of the pilot frequency points. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The invention also provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: acquiring first data of a pilot frequency point, wherein the first data of the pilot frequency point is partial data corresponding to the pilot frequency point; according to the first data of the pilot frequency points, first data of non-pilot frequency points are calculated, and the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points; calculating second data of the pilot frequency points and second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points, wherein the second data of the pilot frequency points and the first data of the pilot frequency points form all data of the pilot frequency points, and the second data of the non-pilot frequency points and the first data of the non-pilot frequency points form all data of the non-pilot frequency points; and outputting the pilot frequency point data and the non-pilot frequency point data.
Optionally, the obtaining the first data of the pilot frequency point includes: and acquiring first data of a first pilot frequency point and first data of a second pilot frequency point, wherein the position of the first pilot frequency point, the position of the second pilot frequency point and the position of the non-pilot frequency point are in the same target row or in the same target column.
Optionally, when the position of the non-pilot frequency point is located in the middle of the first pilot frequency point and the second pilot frequency point, the non-pilot frequency point first data is calculated according to the pilot frequency point first data, and the method includes: according to the first data of the first pilot frequency point and the first data of the second pilot frequency point, the first data of the non-pilot frequency point is calculated through a time domain interpolation calculation formula, wherein the time domain interpolation calculation formula is as follows:
Wa＝(1-nα)Wb+nαWc，
wherein, WaIs the first data of non-pilot frequency point, n is pilot frequency interval, alpha is calculation coefficient, WbFor a first data, W, of a first pilot pointcThe first data is transmitted for the second pilot.
Optionally, when the position of the non-pilot frequency point is located at a side position of the first pilot frequency point and the second pilot frequency point, the non-pilot frequency point first data is calculated according to the pilot frequency point first data, and the method further includes: determining a first distance between a non-pilot point and a first pilot point; determining a second distance between the non-pilot point and the second pilot point; judging the length relation between the first distance and the second distance; if the first distance is shorter, determining the first data of the first pilot frequency point as the data of the non-pilot frequency point; and if the second distance is shorter, determining the first data of the second pilot frequency point as the data of the non-pilot frequency point.
Optionally, calculating the second data of the pilot frequency points and the second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points includes: calculating second data of the pilot frequency points by a frequency domain interpolation algorithm according to the first data of the pilot frequency points; and calculating the second data of the non-pilot frequency points by a frequency domain interpolation algorithm according to the second data of the pilot frequency points.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement data storage by any method or technology. The data may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store data that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that 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 an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present invention, and are not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. A method for determining linear difference of 5G channel estimation data is characterized by comprising the following steps:
acquiring first data of a pilot frequency point, wherein the first data of the pilot frequency point is partial data corresponding to the pilot frequency point;
according to the first data of the pilot frequency points, first data of non-pilot frequency points are calculated, and the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points;
calculating second data of the pilot frequency points and second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points, wherein the second data of the pilot frequency points and the first data of the pilot frequency points form all data of the pilot frequency points, and the second data of the non-pilot frequency points and the first data of the non-pilot frequency points form all data of the non-pilot frequency points;
and outputting the pilot frequency point data and the non-pilot frequency point data.
2. The method of claim 1, wherein obtaining the first data of the pilot points comprises:
acquiring first data of a first pilot frequency point and first data of a second pilot frequency point, wherein the position of the first pilot frequency point, the position of the second pilot frequency point and the position of the non-pilot frequency point are in the same target row or in the same target column.
3. The method of claim 2, wherein when the position of the non-pilot point is located at the middle position of the first pilot point and the second pilot point, the non-pilot point first data is calculated according to the pilot point first data, and the method comprises:
according to the first data of the first pilot frequency point and the first data of the second pilot frequency point, calculating the first data of the non-pilot frequency point through a time domain interpolation calculation formula, wherein the time domain interpolation calculation formula is as follows:
Wa＝(1-nα)Wb+nαWc，
wherein, WaIs the first data of the non-pilot frequency point, n is the pilot frequency interval, alpha is the calculation coefficient, WbFor the first data, W, of the first pilot pointcAnd the first data is distributed to the second pilot frequency.
4. The method of claim 2, wherein when the positions of the non-pilot points are located at one side of the first pilot point and the second pilot point, the non-pilot point first data is calculated according to the pilot point first data, and the method further comprises:
determining a first distance between the non-pilot frequency point and the first pilot frequency point;
determining a second distance between the non-pilot frequency point and the second pilot frequency point;
judging the length relation between the first distance and the second distance;
if the first distance is shorter, determining the first data of the first pilot frequency point as the data of the non-pilot frequency point;
and if the second distance is shorter, determining the first data of the second pilot frequency point as the data of the non-pilot frequency point.
5. The method of claim 2, wherein calculating the second data of pilot frequency points and the second data of non-pilot frequency points according to the first data of pilot frequency points and the first data of non-pilot frequency points comprises:
calculating second data of the pilot frequency points by a frequency domain interpolation algorithm according to the first data of the pilot frequency points;
and calculating the second data of the non-pilot frequency points by a frequency domain interpolation algorithm according to the second data of the pilot frequency points.
6. A 5G channel estimation data linear difference determination apparatus, comprising:
the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring first data of a pilot frequency point, and the first data of the pilot frequency point is partial data corresponding to the pilot frequency point;
the computing unit is used for computing the first data of the non-pilot frequency points according to the first data of the pilot frequency points, wherein the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points;
the calculating unit is configured to calculate second data of the pilot frequency points and second data of the non-pilot frequency points according to the first data of the pilot frequency points and the first data of the non-pilot frequency points, where the second data of the pilot frequency points and the first data of the pilot frequency points constitute all data of the pilot frequency points, and the second data of the non-pilot frequency points and the first data of the non-pilot frequency points constitute all data of the non-pilot frequency points;
and the data path is used for outputting the pilot frequency point data and the non-pilot frequency point data.
7. The apparatus of claim 6, wherein the first obtaining unit comprises:
the acquisition subunit is configured to acquire first data of a first pilot frequency point and first data of a second pilot frequency point, where the position of the first pilot frequency point, the position of the second pilot frequency point, and the position of the non-pilot frequency point are in the same target row or in the same target column.
8. The apparatus according to claim 7, wherein when the position of the non-pilot point is located in the middle of the first pilot point and the second pilot point, the calculating unit includes:
a first calculating subunit, configured to calculate, according to the first pilot point first data and the second pilot point first data, the non-pilot point first data through a time domain interpolation calculation formula, where the time domain interpolation calculation formula is:
Wa＝(1-nα)Wb+nαWc，
wherein, WaIs the first data of the non-pilot frequency point, n is the pilot frequency interval, alpha is the calculation coefficient, WbFor the first data, W, of the first pilot pointcAnd the first data is distributed to the second pilot frequency.
9. A computer-readable storage medium, comprising a stored program, wherein when the program runs, the computer-readable storage medium controls an apparatus to execute the 5G channel estimation data linear difference determination method according to any one of claims 1 to 5.
10. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to perform the 5G channel estimation data linear difference determination method according to any one of claims 1 to 5 when running.
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