CN114006795B - Method and device for determining linear interpolation of 5G channel estimation data - Google Patents
Method and device for determining linear interpolation of 5G channel estimation data Download PDFInfo
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- CN114006795B CN114006795B CN202111285335.9A CN202111285335A CN114006795B CN 114006795 B CN114006795 B CN 114006795B CN 202111285335 A CN202111285335 A CN 202111285335A CN 114006795 B CN114006795 B CN 114006795B
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- H—ELECTRICITY
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- H04L25/0224—Channel estimation using sounding signals
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Abstract
The invention discloses a method and a device for determining linear interpolation 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, calculating first data of non-pilot frequency points, wherein the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points; calculating second data of a pilot frequency point and second data of a non-pilot frequency point according to the first data of the pilot frequency point and the first data of the non-pilot frequency point, wherein the second data of the pilot frequency point and the first data of the pilot frequency point form 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 form all data of the non-pilot frequency point; and outputting all data of the pilot frequency points and all data of the non-pilot frequency points. The invention solves the technical problem of lower efficiency of the calculation method of the linear interpolation 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 linear interpolation of 5G channel estimation data.
Background
In the related art, in the technology of a 5G wireless communication system, a channel is time-varying, the quality of the channel affects the transmission of data to a great extent, in order to ensure the accuracy of receiving the data, the effect caused by the channel is minimized, and when the data is received, the quality of the channel needs to be estimated by analyzing according to the DMRS pilot point signal in the information. Channel equalization is the use of known information to compensate for the channel and to eliminate or reduce interference to the channel caused by channel time-varying.
Channel estimation is an important functional module at the receiving end, and because signals are transmitted through a wireless fading channel, many physical factors affecting multipath fading in the wireless channel, such as multipath propagation, the motion speed of a mobile station, the transmission bandwidth of the channel and the like. In order to be able to correctly recover the transmitted signal, the channel parameters and the relevant characteristics of the wireless channel have to be accurately analyzed and estimated. The channel estimation module mainly estimates the characteristics of a wireless channel through which a signal is transmitted and is used for recovering the signal. The quality of the channel estimation performance directly determines the reception performance of the receiver. The current 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 sources of the channel estimation are as follows, for the symbol with the reference signal, the frequency domain channel information of the whole symbol is obtained through linear interpolation, and the time domain channel information is obtained through linear interpolation by the frequency domain information. Because of the characteristics of channel estimation, the channel estimation can also only estimate and calculate the pilot frequency points of pilot frequency symbols, the pilot frequency signals after estimation are subjected to linear interpolation, the channel estimation values of all the symbols, namely frequency domain interpolation, are obtained similarly, and the channel estimation values of all the time domains, namely the time domain interpolation, can be obtained by interpolating the interpolation results of different pilot frequency symbols.
The general time-frequency interpolation is realized by carrying out frequency domain interpolation on pilot symbols to obtain all frequency domain channel estimation results, storing the results, and then carrying out time domain interpolation on the stored pilot symbol frequency domain interpolation results to obtain all channel estimation results. In the implementation method, since the calculation is performed in two steps, two repeated calculation units are needed, and the two repeated calculation units are not used at the same time, and the intermediate result needs to be stored, a large amount of storage resources and calculation units are needed in the implementation method.
Meanwhile, in the calculation method in the related art, partial data of non-pilot points are basically calculated through the known data of the pilot points, the calculated data are stored, and then the remaining unknown data of the pilot points and the non-pilot points are respectively calculated through a frequency domain interpolation algorithm.
In view of the above problems in the related art, no effective solution has been proposed at present.
Disclosure of Invention
The invention mainly aims to provide a method and a device for determining linear interpolation of 5G channel estimation data, which are used for solving the technical problem that the calculation method of the linear interpolation of the channel estimation data in the related technology is low in efficiency.
In order to achieve the above object, according to one aspect of the present invention, there is provided a linear interpolation determination method 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; calculating non-pilot frequency point first data according to the pilot frequency point first data, wherein the non-pilot frequency point first data is partial data corresponding to the non-pilot frequency point; calculating pilot frequency point second data and non-pilot frequency point second data according to the pilot frequency point first data and the non-pilot frequency point first data, wherein the pilot frequency point second data and the pilot frequency point first data form all data of the pilot frequency point, and the non-pilot frequency point second data and the non-pilot frequency point first data form all data of the non-pilot frequency point; and outputting all data of the pilot frequency points and all data of the non-pilot frequency points.
Further, acquiring the first data of the pilot 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 positioned in the same target row or the same target column.
Further, when the position of the non-pilot point is located at the middle position of the first pilot point and the second pilot point, calculating non-pilot point first data according to the pilot point first data, the method includes: according to the first pilot frequency point first data and the second pilot frequency point first data, calculating the non-pilot frequency point first data through a time domain interpolation calculation formula, wherein the time domain interpolation calculation formula is as follows:
W a ＝(1-nα)W b +nαW c ，
wherein W is a For the first data of the non-pilot point, n is pilot interval, alpha is calculation coefficient, W b For the first pilot point first data, W c And the first data is the second pilot frequency point.
Further, when the position of the non-pilot point is located at one side of the first pilot point and the second pilot point, calculating non-pilot point first data according to the pilot point first data, the method further includes: determining a first distance between the non-pilot point and the 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 pilot point first data as the non-pilot point first data; and if the second distance is shorter, determining the second pilot point first data as the non-pilot point first data.
Further, calculating pilot frequency point second data and non-pilot frequency point second data according to the pilot frequency point first data and the non-pilot frequency point first data comprises the following steps: 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 calculating the second data of the non-pilot frequency point through a frequency domain interpolation algorithm according to the second data of the pilot frequency point.
In order to achieve the above object, according to another aspect of the present invention, there is provided a 5G channel estimation data linear interpolation determining apparatus. The device comprises: the first acquisition unit is used for acquiring first data of pilot frequency points, wherein the first data of the pilot frequency points are partial data corresponding to the pilot frequency points; the computing unit is used for computing non-pilot frequency point first data according to the pilot frequency point first data, wherein the non-pilot frequency point first data is partial data corresponding to the non-pilot frequency point; the computing unit is configured to compute pilot point second data and non-pilot point second data according to the pilot point first data and the non-pilot point first data, where the pilot point second data and the pilot point first data form all data of the pilot point, and the non-pilot point second data and the non-pilot point first data form all data of the non-pilot point; and the data path is used for outputting all data of the pilot frequency points and all data of the non-pilot frequency points.
In order to achieve the above object, according to one aspect of the present invention, there is provided a computer-readable storage medium including a stored program that, when executed, controls a device in which the computer-readable storage medium is located to perform the above-described linear interpolation determination method for 5G channel estimation data.
In order to achieve the above object, according to one aspect of the present invention, there is provided a processor for executing a program, wherein the program executes the above-described one 5G channel estimation data linear interpolation determination method.
According to the invention, the following steps are adopted: 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; calculating non-pilot frequency point first data according to the pilot frequency point first data, wherein the non-pilot frequency point first data is partial data corresponding to the non-pilot frequency point; calculating pilot frequency point second data and non-pilot frequency point second data according to the pilot frequency point first data and the non-pilot frequency point first data, wherein the pilot frequency point second data and the pilot frequency point first data form all data of the pilot frequency point, and the non-pilot frequency point second data and the non-pilot frequency point first data form all data of the non-pilot frequency point; all the data of the pilot frequency points and all the data of the non-pilot frequency points are output, the technical problem that the calculation method of the linear difference value of the channel estimation data in the related technology is low in efficiency is solved, and the technical effect of improving the utilization rate of the control logic circuit is achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
fig. 1 is a flowchart of a method for determining linear interpolation of 5G channel estimation data according to an embodiment of the present invention; and
fig. 2 is a schematic diagram of channel pilot points and non-pilot points;
FIG. 3 is a schematic diagram of a time domain symbol;
fig. 4 is a schematic diagram of a linear interpolation determining device for 5G channel estimation data according to an embodiment of the present invention.
Detailed Description
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe 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 linear interpolation determination method for 5G channel estimation data is provided.
Fig. 1 is a flowchart of a method for determining linear interpolation of 5G channel estimation data according to an embodiment of the present invention. As shown in fig. 1, the invention comprises the following steps:
step S101, first data of pilot frequency points are obtained, wherein the first data of the pilot frequency points are partial data corresponding to the pilot frequency points;
step S102, calculating non-pilot frequency point first data according to the pilot frequency point first data, wherein the non-pilot frequency point first data is partial data corresponding to the non-pilot frequency point;
step S103, calculating second data of pilot frequency points and second data of 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;
step S104, outputting all data of pilot frequency points and all data of non-pilot frequency points.
In the above-mentioned embodiment, in order to avoid storing the frequency domain interpolation result, the frequency domain interpolation calculation and the time domain interpolation calculation which are originally separated in the related technology are combined together to perform calculation, and are combined to perform calculation as a calculation unit, 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 portion and a single-diagonal shadow portion are pilot points carrying DMRS pilot point data, and in the time domain, all non-shadow portions need to calculate corresponding data through time domain interpolation.
The embodiment of the invention provides a linear interpolation determination method for 5G channel estimation data, which comprises the steps of obtaining pilot frequency point first data, wherein the pilot frequency point first data is partial data corresponding to pilot frequency points; according to the first data of the pilot frequency points, calculating first data of non-pilot frequency points, wherein the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points; calculating second data of a pilot frequency point and second data of a non-pilot frequency point according to the first data of the pilot frequency point and the first data of the non-pilot frequency point, wherein the second data of the pilot frequency point and the first data of the pilot frequency point form 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 form all data of the non-pilot frequency point; all data of pilot frequency points and all data of non-pilot frequency points are output, the technical problem that the calculation method of the linear difference value of channel estimation data in the related technology is low in efficiency is solved, and the technical effect of improving the utilization rate of a control logic circuit is achieved.
In an alternative embodiment, acquiring the pilot point first data 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 a non-pilot frequency point are positioned in the same target row or the same target column.
In the above-mentioned embodiment, since the calculation of the data of the non-pilot point is completed by the interpolation calculation of the data of the pilot point, the known data of the point is acquired, the known data of two pilot points in the same row or column as the non-pilot point is required to be acquired, and the partial data of the non-pilot point is calculated by the two known data and the interpolation calculation.
In an alternative embodiment, 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 method includes calculating the first data of the non-pilot point according to the first data of the pilot point: 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:
W a ＝(1-nα)W b +nαW c ，
wherein W is a For the first data of non-pilot point, n is pilot interval, alpha is calculation coefficient, W b First data for first pilot point, W c The first data is the second pilot point.
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, calculating the first data of the non-pilot point according to the first data of the pilot point, the method further includes: determining a first distance between the non-pilot point and the first pilot point; determining a second distance between the non-pilot point and a second pilot point; judging the length relation between the first distance and the second distance; if the first distance is shorter, determining the first pilot point first data as non-pilot point first data; if the second distance is shorter, the second pilot point first data is determined to be non-pilot point first data.
Specifically, in the calculation method of frequency domain linear interpolation, the existing pilot frequency points are utilized to calculate the data of non-pilot frequency points, and the following formulas can be used for interpolation calculation at different pilot frequency intervals, specifically, the following formulas are shown:
W a ＝(1-nα)W b +nαW c wherein W is a Is first data of non-pilot point, n is pilot interval, n is fixed value, alpha is calculation coefficient, W b First data for first pilot point, W c The first data is the second pilot point.
Further, when performing time domain computation, the computed equalization matrix is a matrix with different orders according to the number of receiving antennas and the number of layers, one path of data is computed according to a formula (wherein, when computing one path of data, real part and imaginary part are separately computed), two multiplications and one addition operation are needed, coefficient computation is performed before mac of a data channel is entered, similar to frequency domain interpolation, the computation formula of interpolation of corresponding points of DMRS pilot points is as follows, coefficient iteration is not needed, the computation formulas of other points are the same as frequency domain interpolation, specifically, as shown in fig. 3, fig. 3 is a schematic diagram of a time domain symbol, when performing frequency domain interpolation computation of symbol0, data in re0 is directly copied to data in re1, data in re2 are directly output after being read, and data in re3, re4, re5 and re6 are obtained by performing interpolation computation through data in re2 and re 7. The data in re15-18 is derived for copying the data in re 14.
Interpolation calculation is needed for symbol 3, time domain interpolation calculation is needed for re1 of symbol0 and symbol5 for data in re0, and re1 directly copies the re0 calculation result. re2 is calculated by time domain interpolation, and then re7 is calculated, and re3-6 is calculated by frequency domain interpolation for re2 and re 7.
In the frequency domain interpolation calculation method provided by the application, the non-pilot points before the first pilot point and after the last pilot point directly copy the values of the nearest pilot point. And calculating the data of the rest positions according to an interpolation formula.
In an alternative embodiment, calculating pilot point second data and non-pilot point second data from pilot point first data and non-pilot point first data includes: calculating pilot frequency point second data through a frequency domain interpolation algorithm according to the pilot frequency point first data; and calculating non-pilot frequency point second data through a frequency domain interpolation algorithm according to the pilot frequency point second data.
As described above, after calculating the data of the non-pilot point from the known data of the pilot point, the unknown data corresponding to the pilot point and the non-pilot point are calculated by the frequency domain interpolation calculation method.
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 other than that illustrated herein.
The embodiment of the invention also provides a 5G channel estimation data linear interpolation determining device, and the 5G channel estimation data linear interpolation determining device can be used for executing the 5G channel estimation data linear interpolation determining method. The following describes a linear interpolation determining device for 5G channel estimation data provided by the embodiment of the present invention.
Fig. 4 is a schematic diagram of a linear interpolation determining device for 5G channel estimation data 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 non-pilot point first data according to the pilot point first data, where the non-pilot point first data is partial data corresponding to the non-pilot point; a calculating unit 402, configured to calculate pilot point second data and non-pilot point second data according to the pilot point first data and the non-pilot point first data, where the pilot point second data and the pilot point first data form all data of the pilot point, and the non-pilot point second data and the non-pilot point first data form all data of the non-pilot point; and a data path 403 for outputting all data of the pilot points and all data of the non-pilot points.
The calculation unit 402 is mainly composed of an adder, two subtractors and a plurality of registers, wherein the adder is used as a core, the calculation of the adder includes two multiplication calculations and one addition calculation and the decimal point alignment operation on the accumulated result, the adder can complete the two multiplication calculations and the accumulation operation in one clock period, and the second period completes the decimal point alignment operation. Because the data which is needed to be operated by the real part and the imaginary part simultaneously has the real part and the imaginary part, two dual_mac are placed to meet the operation quantity, the interpolation coefficient is operated by two subtractors in an iterative mode, and the input and the output of the data are all needed to pass through the FIFO.
Meanwhile, the data path 403 is divided into three parts, the first part being the input FIFO part, the second part being the MAC calculation (multiplication and addition) part, and the third part being the output FIFO part. The data to be operated is circularly read in by two input data FIFOs, enters the MAC part for calculation, and when the edge processing data of each symbol, namely the data which needs copy output, is sent to a copy register for registering.
In a specific calculation, the state control refers to the concept of instruction set, decomposes the operations needed to be performed by different data paths 403 into different fixed simple actions, and completes the requirements of different data paths 403 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 is required to be subjected to state control.
In an alternative embodiment, the first acquisition unit 401 includes: and the acquisition subunit is used for acquiring the first data of the first pilot frequency point and the first data of the second pilot frequency point, wherein the position of the first pilot frequency point and the position of the second pilot frequency point are in the same target row or are in the same target column as the positions of the non-pilot frequency points.
In an alternative embodiment, 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 calculating unit 402 includes: the first calculating subunit is configured to calculate, according to the first pilot frequency point first data and the second pilot frequency point first data, the non-pilot frequency point first data according to a time domain interpolation calculation formula, where the time domain interpolation calculation formula is:
W a ＝(1-nα)W b +nαW c ，
wherein W is a For the first data of non-pilot point, n is pilot interval, alpha is calculation coefficient, W b First data for first pilot point, W c The first data is the second pilot point.
In an alternative 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 calculating unit 402 includes: a first determination subunit configured to determine a first distance between the non-pilot point and the first pilot point; a second determination subunit configured to determine a second distance between the non-pilot point and a second pilot point; the judging subunit is used for judging the length relation between the first distance and the second distance; a third determining subunit, configured to determine, when the first distance is shorter, the first data of the first pilot point as data of a non-pilot point; and a fourth determining subunit, configured to determine the first data of the second pilot point as the data of the non-pilot point when the second distance is shorter.
In an alternative embodiment, the computing unit 402 includes: 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 non-pilot frequency point second data through a frequency domain interpolation algorithm according to the pilot frequency point second data.
The embodiment of the invention provides a linear interpolation determining device for 5G channel estimation data, which is used for acquiring pilot frequency point first data through a first acquiring unit 401, wherein the pilot frequency point first data is partial data corresponding to a pilot frequency point; a calculating unit 402, configured to calculate non-pilot point first data according to the pilot point first data, where the non-pilot point first data is partial data corresponding to the non-pilot point; a calculating unit 402, configured to calculate pilot point second data and non-pilot point second data according to the pilot point first data and the non-pilot point first data, where the pilot point second data and the pilot point first data form all data of the pilot point, and the non-pilot point second data and the non-pilot point first data form all data of the non-pilot point; the data path 403 is configured to output all data of the pilot frequency point and all data of the non-pilot frequency point, so that the technical problem that the efficiency of the method for calculating the linear difference value of the channel estimation data in the related art is low is solved, and the technical effect of improving the utilization rate of the control logic circuit is further achieved.
A linear interpolation determining device for 5G channel estimation data comprises a processor and a memory, wherein the units are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel can be provided with one or more than one kernel, and the technical problem of low efficiency of the calculation method of the linear difference value of the channel estimation data in the related technology is solved by adjusting the kernel parameters.
The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.
The embodiment of the invention provides a storage medium, and a program is stored on the storage medium, and when the program is executed by a processor, the linear interpolation determination method of 5G channel estimation data is realized.
The embodiment of the invention provides a processor, which is used for running a program, wherein the program runs to execute a linear interpolation determination method for 5G channel estimation data.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the processor realizes the following steps when executing the program: 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, calculating first data of non-pilot frequency points, wherein the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points; calculating second data of a pilot frequency point and second data of a non-pilot frequency point according to the first data of the pilot frequency point and the first data of the non-pilot frequency point, wherein the second data of the pilot frequency point and the first data of the pilot frequency point form 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 form all data of the non-pilot frequency point; and outputting all data of the pilot frequency points and all data of the non-pilot frequency points.
Optionally, acquiring the first data of the pilot 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 a non-pilot frequency point are positioned in the same target row or the same target column.
Optionally, when the position of the non-pilot point is located at the middle position of the first pilot point and the second pilot point, calculating the first data of the non-pilot point according to the first data of the pilot point, 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:
W a ＝(1-nα)W b +nαW c ，
wherein W is a For the first data of non-pilot point, n is pilot interval, alpha is calculation coefficient, W b First data for first pilot point, W c The first data is the second pilot point.
Optionally, when the position of the non-pilot point is located at one side of the first pilot point and the second pilot point, calculating the first data of the non-pilot point according to the first data of the pilot point, and the method further includes: determining a first distance between the non-pilot point and the first pilot point; determining a second distance between the non-pilot point and a second pilot point; judging the length relation between the first distance and the second distance; if the first distance is shorter, determining the first pilot point first data as non-pilot point first data; if the second distance is shorter, the second pilot point first data is determined to be non-pilot point first data.
Optionally, calculating the second data of the pilot point and the second data of the non-pilot point according to the first data of the pilot point and the first data of the non-pilot point includes: calculating pilot frequency point second data through a frequency domain interpolation algorithm according to the pilot frequency point first data; and calculating non-pilot frequency point second data through a frequency domain interpolation algorithm according to the pilot frequency point second data. The device herein may be a server, PC, PAD, cell phone, etc.
The invention also provides a computer program product adapted to perform, when executed on a data processing device, a program initialized with the method steps of: 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, calculating first data of non-pilot frequency points, wherein the first data of the non-pilot frequency points are partial data corresponding to the non-pilot frequency points; calculating second data of a pilot frequency point and second data of a non-pilot frequency point according to the first data of the pilot frequency point and the first data of the non-pilot frequency point, wherein the second data of the pilot frequency point and the first data of the pilot frequency point form 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 form all data of the non-pilot frequency point; and outputting all data of the pilot frequency points and all data of the non-pilot frequency points.
Optionally, acquiring the first data of the pilot 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 a non-pilot frequency point are positioned in the same target row or the same target column.
Optionally, when the position of the non-pilot point is located at the middle position of the first pilot point and the second pilot point, calculating the first data of the non-pilot point according to the first data of the pilot point, 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:
W a ＝(1-nα)W b +nαW c ，
wherein W is a For the first data of non-pilot point, n is pilot interval, alpha is calculation coefficient, W b First data for first pilot point, W c The first data is the second pilot point.
Optionally, when the position of the non-pilot point is located at one side of the first pilot point and the second pilot point, calculating the first data of the non-pilot point according to the first data of the pilot point, and the method further includes: determining a first distance between the non-pilot point and the first pilot point; determining a second distance between the non-pilot point and a second pilot point; judging the length relation between the first distance and the second distance; if the first distance is shorter, determining the first pilot point first data as non-pilot point first data; if the second distance is shorter, the second pilot point first data is determined to be non-pilot point first data.
Optionally, calculating the second data of the pilot point and the second data of the non-pilot point according to the first data of the pilot point and the first data of the non-pilot point includes: calculating pilot frequency point second data through a frequency domain interpolation algorithm according to the pilot frequency point first data; and calculating non-pilot frequency point second data through a frequency domain interpolation algorithm according to the pilot frequency point second data.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. 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 storage media for a computer 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, which can be used to store data that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
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 one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
It will be appreciated by those skilled in the art that 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 foregoing is merely exemplary of the present invention and is not intended to limit the present invention. Various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the invention are to be included in the scope of the claims of the present invention.
Claims (10)
1. A method for determining linear interpolation of 5G channel estimation data, comprising:
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;
calculating non-pilot frequency point first data according to the pilot frequency point first data, wherein the non-pilot frequency point first data is partial data corresponding to the non-pilot frequency point;
calculating pilot frequency point second data and non-pilot frequency point second data according to the pilot frequency point first data and the non-pilot frequency point first data, wherein the pilot frequency point second data and the pilot frequency point first data form all data of the pilot frequency point, and the non-pilot frequency point second data and the non-pilot frequency point first data form all data of the non-pilot frequency point;
and outputting all data of the pilot frequency points and all data of the non-pilot frequency points.
2. The method of claim 1, wherein obtaining pilot point first data comprises:
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 positioned in the same target row or the same target column.
3. The method of claim 2, wherein the non-pilot point first data is calculated from the pilot point first data when the position of the non-pilot point is located at a position intermediate the first pilot point and the second pilot point, the method comprising:
according to the first pilot frequency point first data and the second pilot frequency point first data, calculating the non-pilot frequency point first data through a time domain interpolation calculation formula, wherein the time domain interpolation calculation formula is as follows:
W a ＝(1-nα)W b +nαW c ，
wherein W is a For the first data of the non-pilot point, n is pilot interval, alpha is calculation coefficient, W b For the first pilot point first data, W c And the first data is the second pilot frequency point.
4. The method of claim 2, wherein when the location of the non-pilot point is located at a side location of the first pilot point and the second pilot point, calculating non-pilot point first data from the pilot point first data, the method further comprising:
determining a first distance between the non-pilot point and the 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 pilot point first data as the non-pilot point first data;
and if the second distance is shorter, determining the second pilot point first data as the non-pilot point first data.
5. The method of claim 2 wherein calculating pilot point second data and non-pilot point second data from the pilot point first data and the non-pilot point first data comprises:
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 calculating the second data of the non-pilot frequency point through a frequency domain interpolation algorithm according to the second data of the pilot frequency point.
6. A 5G channel estimation data linear interpolation determining apparatus, comprising:
the first acquisition unit is used for acquiring first data of pilot frequency points, wherein the first data of the pilot frequency points are partial data corresponding to the pilot frequency points;
the computing unit is used for computing non-pilot frequency point first data according to the pilot frequency point first data, wherein the non-pilot frequency point first data is partial data corresponding to the non-pilot frequency point;
the computing unit is configured to compute pilot point second data and non-pilot point second data according to the pilot point first data and the non-pilot point first data, where the pilot point second data and the pilot point first data form all data of the pilot point, and the non-pilot point second data and the non-pilot point first data form all data of the non-pilot point;
and the data path is used for outputting all data of the pilot frequency points and all data of the non-pilot frequency points.
7. The apparatus of claim 6, wherein the first acquisition unit comprises:
and the acquisition subunit is used for 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 all in the same target column.
8. The apparatus of claim 7, wherein the computing unit comprises, when the location of the non-pilot point is located midway between the first pilot point and the second pilot point:
the first calculating subunit is configured to calculate, according to the first pilot frequency point first data and the second pilot frequency point first data, the non-pilot frequency point first data according to a time domain interpolation calculation formula, where the time domain interpolation calculation formula is:
W a ＝(1-nα)W b +nαW c ，
wherein W is a For the first data of the non-pilot point, n is pilot interval, alpha is calculation coefficient, W b For the first pilot point first data, W c And the first data is the second pilot frequency point.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program, when run, controls a device in which the computer-readable storage medium is located to perform a linear interpolation determination method of 5G channel estimation data according to any one of claims 1 to 5.
10. A processor, wherein the processor is configured to run a program, wherein the program when run performs a method of linear interpolation determination of 5G channel estimation data as claimed in any one of claims 1 to 5.
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