CN115706689B

CN115706689B - Data calibration method, device, apparatus and storage medium

Info

Publication number: CN115706689B
Application number: CN202110893169.4A
Authority: CN
Inventors: 陈长华
Original assignee: Datang Mobile Communications Equipment Co Ltd
Current assignee: Datang Mobile Communications Equipment Co Ltd
Priority date: 2021-08-04
Filing date: 2021-08-04
Publication date: 2024-04-05
Anticipated expiration: 2041-08-04
Also published as: CN115706689A

Abstract

The embodiment of the application provides a data calibration method, device and apparatus and a storage medium, wherein the method comprises the following steps: acquiring first frequency domain data to be calibrated, wherein the first frequency domain data is frequency domain data corresponding to each PRB in a set bandwidth; determining a first phase of each PRB and a first window length of a sliding window for performing phase smoothing on the first phase of each PRB according to the first frequency domain data; performing phase smoothing of a setting mode on the first phase of each PRB according to the first window length to obtain a second phase of each PRB; wherein, the setting mode is MA mode; determining a calibration coefficient of each PRB according to the second phase of each PRB; and calibrating the first frequency domain data according to the calibration coefficient of each PRB to obtain second frequency domain data. According to the embodiment of the application, the performance of the calibration coefficient in the antenna calibration system is better, and the experience of a user to a network is further improved.

Description

Data calibration method, device, apparatus and storage medium

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a data calibration method, device, apparatus, and storage medium.

Background

Phase smoothing is an important step in an antenna calibration system, and can reduce interference of noise in a physical resource block (Physical resource block, PRB) signal on an effective phase and improve performance of the calibration system.

The phase smoothing algorithm of the antenna calibration system in the prior art mainly adopts a fixed segmentation method. Because the fixed segmentation method needs to artificially perform factorization according to the bandwidth size, and multiple conditions may exist in the factorization result, the selection of the segmented result brings randomness and uncertainty to the phase smoothing result, and also brings great challenges to the stability and performance of antenna calibration.

Disclosure of Invention

The embodiment of the application provides a data calibration method, device and storage medium, which are used for solving the defects of low phase smoothing precision and poor stability in an antenna calibration system in the prior art, realizing better performance of calibration coefficients in the antenna calibration system and further improving the experience of a user on a network.

In a first aspect, an embodiment of the present application provides a data calibration method, including:

acquiring first frequency domain data to be calibrated, wherein the first frequency domain data is frequency domain data corresponding to each physical resource block PRB in a set bandwidth;

Determining a first phase of each PRB and a first window length of a sliding window for performing phase smoothing on the first phase of each PRB according to the first frequency domain data;

performing phase smoothing in a setting mode on the first phase of each PRB according to the first window length to obtain a second phase of each PRB; wherein the setting mode is a moving average MA mode;

determining a calibration coefficient of each PRB according to the second phase of each PRB;

and calibrating the first frequency domain data according to the calibration coefficient of each PRB to obtain second frequency domain data.

Optionally, according to a data calibration method of an embodiment of the present application, the determining, according to the first frequency domain data, a first phase of each PRB and a first window length of a sliding window for performing phase smoothing includes:

performing channel estimation according to the first frequency domain data to obtain a channel estimation result;

determining a first phase of each PRB according to the channel estimation result;

determining a signal to noise ratio for determining the first window length according to the channel estimation result;

and determining the length of the first window according to the signal-to-noise ratio.

Optionally, according to the data calibration method of one embodiment of the present application, the relationship between the first window length and the signal-to-noise ratio is an inverse proportional relationship.

Optionally, according to a data calibration method of an embodiment of the present application, the performing, according to the first window length, phase smoothing in a setting manner on the first phase of each PRB, to obtain the second phase of each PRB includes:

performing first MA phase smoothing on the first phase of each PRB according to the first window length to obtain a third phase of each PRB;

and performing second MA phase smoothing on the third phase of each PRB according to a set rule to obtain the second phase of each PRB.

Optionally, according to a data calibration method of one embodiment of the present application, the set bandwidth includes a first edge bandwidth portion, a middle bandwidth portion, and a second edge bandwidth portion; the individual PRBs include each first PRB within the first edge bandwidth portion, each second PRB within the intermediate bandwidth portion, each third PRB within the second edge bandwidth portion;

performing first MA phase smoothing on the first phase of each PRB according to the first window length to obtain a third phase of each PRB, where the first phase includes:

Determining a second window length corresponding to each first PRB according to the first window length, wherein the second window length is smaller than the first window length, and performing first smoothing on the first phase of each first PRB according to the second window length to obtain a third phase of each first PRB;

determining a third window length corresponding to each second PRB according to the first window length, wherein the third window length is the same as the first window length, and performing first smoothing on the first phase of each second PRB according to the third window length to obtain a third phase of each second PRB;

determining a fourth window length corresponding to each third PRB according to the first window length, wherein the fourth window length is smaller than the first window length, and performing first smoothing on the first phase of each third PRB according to the fourth window length to obtain a third phase of each third PRB.

Optionally, according to a data calibration method of an embodiment of the present application, the determining, according to the first window length, a second window length corresponding to each first PRB, where the second window length is smaller than the first window length, and performing a first smoothing process on the first phase of each first PRB according to the second window length, to obtain a third phase of each first PRB, includes:

Performing first smoothing treatment by using a first formula; wherein the first formula comprises:

L ₁ ＝2×m+1

and

wherein m is the identifier of the first PRB, and the value range of m is: 0 to 0L _MA For the first window length; l (L) ₁ For the second window length; />For the first phase, Q _I (m) is the third phase.

Optionally, according to a data calibration method of an embodiment of the present application, the determining, according to the first window length, a third window length corresponding to each second PRB, where the third window length is the same as the first window length, and performing a first smoothing process on the first phase of each second PRB according to the third window length, to obtain a third phase of each second PRB, includes:

performing first smoothing treatment by using a second formula; wherein the second formula comprises:

L ₂ ＝L _MA

and

wherein m is the identifier of the second PRB, and the value range of m isTo->L _MA For the first window length, N _RB For the number of PRBs contained in the set bandwidthAn amount of; l (L) ₂ For the third window length;for the first phase, Q _I (m) is the third phase.

Optionally, according to a data calibration method of an embodiment of the present application, the determining, according to the first window length, a fourth window length corresponding to each third PRB, where the fourth window length is smaller than the first window length, and performing a first smoothing process on the first phase of each third PRB according to the fourth window length, to obtain a third phase of each third PRB, where the first smoothing process includes:

Performing first smoothing treatment by using a third formula; wherein the third formula comprises:

L ₃ ＝2×(N _RB -1-m)+1

and

wherein m is the identifier of the third PRB, and the value range of m is:to N _RB -1；L _MA For the first window length, N _RB Setting the number of PRBs contained in the bandwidth; l (L) ₃ For the fourth window length; />For the first phase, Q _I (m) is the third phase.

Optionally, according to a data calibration method of one embodiment of the present application, the set bandwidth includes an edge bandwidth portion and a non-edge bandwidth portion;

and performing second MA phase smoothing on the third phase of each PRB according to the set rule to obtain a second phase of each PRB, where the second phase includes:

for each fourth PRB in the marginal bandwidth part, performing second MA phase smoothing on a third phase of the fourth PRB by using third phases of one or more other PRBs adjacent to the fourth PRB to obtain a second phase of the fourth PRB;

for each fifth PRB within the non-marginal bandwidth portion, a second phase of the fifth PRB is the same as a third phase of the fifth PRB.

Optionally, according to a data calibration method of an embodiment of the present application, the performing, with a third phase of one or more other PRBs adjacent to the fourth PRB, second MA phase smoothing on the third phase of the fourth PRB to obtain a second phase of the fourth PRB includes:

Performing the second MA smoothing process using a fourth formula; wherein the fourth formula comprises:

Q _II (m)＝(Q _I (m)+(2×Q _I (m+1)-Q _I (m+2)))/2

or (b)

Q _II (m)＝(Q _I (m)+(2×Q _I (m-1)-Q _I (m-2)))/2

Wherein m is the identifier of the fourth PRB; n (N) _RB Setting the number of PRBs contained in the bandwidth; q (Q) _I (m) is the third phase, Q _II (m) is the second phase.

In a second aspect, embodiments of the present application further provide a network device, including a memory, a transceiver, and a processor, wherein:

a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and implementing the steps of the data calibration method as described in the first aspect.

In a third aspect, an embodiment of the present application further provides a data calibration device, including:

the data acquisition unit is used for acquiring first frequency domain data to be calibrated, wherein the first frequency domain data is frequency domain data corresponding to each physical resource block PRB in a set bandwidth;

a first determining unit, configured to determine, according to the first frequency domain data, a first phase of each PRB, and a first window length of a sliding window for performing phase smoothing on the first phase of each PRB;

A phase smoothing unit, configured to perform phase smoothing in a setting manner on the first phase of each PRB according to the first window length, to obtain a second phase of each PRB; wherein the setting mode is a moving average MA mode;

a second determining unit, configured to determine a calibration coefficient of each PRB according to a second phase of each PRB;

and the data calibration unit is used for calibrating the first frequency domain data according to the calibration coefficients of the PRBs to obtain second frequency domain data.

In a fourth aspect, embodiments of the present application also provide a processor-readable storage medium storing a computer program for causing the processor to perform the steps of the data calibration method according to the first aspect as described above.

According to the data calibration method, the device and the storage medium, first frequency domain data to be calibrated are obtained, wherein the first frequency domain data are frequency domain data corresponding to each physical resource block PRB in a set bandwidth; determining a first phase of each PRB and a first window length of a sliding window for performing phase smoothing on the first phase of each PRB according to the first frequency domain data; performing phase smoothing of a setting mode on the first phase of each PRB according to the first window length to obtain a second phase of each PRB; wherein, the setting mode is MA mode; determining a calibration coefficient of each PRB according to the second phase of each PRB; the first frequency domain data is calibrated according to the calibration coefficient of each PRB to obtain the second frequency domain data, so that the calibration coefficient obtained after the phase smoothing is performed in an MA mode is higher in precision and better in performance, the calibration coefficient is compensated to the frequency domain signal, the channel decoding and fault tolerance capacity is improved, and when the calibration coefficient obtained after the phase smoothing is performed in the MA mode is used for an antenna calibration system, the service rate can be further improved, and the experience of a user on a network is improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief description will be given below of the drawings that are needed in the embodiments or the prior art descriptions, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of bandwidth 100M factorization results;

FIG. 2 is a schematic flow chart of a data calibration method according to an embodiment of the present disclosure;

FIG. 3 is a second flow chart of a data calibration method according to the embodiment of the present application;

FIG. 4 is a third flow chart of a data calibration method according to the embodiment of the present application;

FIG. 5 is a schematic diagram of calibration errors resulting from fixed-segment phase smoothing;

FIG. 6 is a schematic diagram of calibration errors generated by the data calibration method according to the embodiment of the present application;

FIG. 7 is a schematic diagram of a data calibration device according to an embodiment of the present disclosure;

fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In the embodiment of the application, the term "and/or" describes the association relationship of the association objects, which means that three relationships may exist, for example, a and/or B may be represented: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.

The term "plurality" in the embodiments of the present application means two or more, and other adjectives are similar thereto.

The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

Phase smoothing is an important step in an antenna calibration system, and can reduce interference of noise in PRB signals to effective phases, which is equivalent to averaging the noise, so that the interference degree of the noise to effective data is weakened, and the performance of the calibration system is improved.

The phase smoothing algorithm of the antenna calibration system can adopt a fixed segmentation method, and the idea is to adopt a segmentation fitting method. This algorithm is briefly described below.

Firstly, according to the cell bandwidth size, the PRB number of the corresponding bandwidth is obtained, then according to the PRB size, factorization is performed manually, the product of a plurality of integers is obtained, and the number of segments divided by the whole bandwidth and the number of PRB of each segment are determined in this way, so that the subsequent phase smoothing calculation is facilitated.

For example, as shown in fig. 1, since 273 is factorized assuming that the bandwidth is 100M, and 273=13×21 is obtained, the entire bandwidth can be divided into 13 segments, each segment having 21 PRBs.

Table 1 below shows the possible factorization results for antenna calibration, i.e., AC (Antenna Calibration) subsystem, at different bandwidths.

TABLE 1

The fixed segmentation method obtains the number of smooth segments and the number of PRBs in each segment, so that the phase smoothing operation can be performed, taking 100M bandwidth as an example, the number of segments obtained according to the table 1 is 13, and the number of PRBs in each segment is 21, and the steps are as follows:

(1) Calculating the phase of each PRB channel estimation: by means of a coordinate rotation digital computing method (Cordinate Rotation Digital Computer,CORDIC) method, computing the phase of each channel estimate within a segmentWherein m represents an index value of the number of segmented full bandwidth, n represents an index of the number of PRBs in each segment, +.>And the phase corresponding to the nth PRB in the mth segment is shown.

(2) Calculating a phase difference:

where m=0, 1, 12, j=0, 1, 19, j represents an index of the number of PRBs in each segment, the range of values is 1 smaller than n,and the phase corresponding to the jth PRB in the mth segment is shown.

If it isThen

(3) Calculating an average phase difference:

(4) Calculating the average phase:

(5) Based on the results of the above (1) to (4), the final phase Q after the m-th phase smoothing is calculated _m,n ：

(6) According to the final smoothed phase Q _m,n And calculating a calibration coefficient and transmitting the calibration coefficient to a frequency domain compensation channel.

According to the data calibration method and device, the average value of phases containing a certain number of terms is calculated sequentially according to the PRB phase sequence in a gradual manner so as to reflect the phase change trend of the whole bandwidth.

The method and the device are based on the same application, and because the principles of solving the problems by the method and the device are similar, the implementation of the device and the method can be referred to each other, and the repetition is not repeated.

The technical scheme provided by the embodiment of the application can be suitable for various systems, in particular to a 5G system. For example, suitable systems may be global system for mobile communications (global system of mobile communication, GSM), code division multiple access (code division multiple access, CDMA), wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA) universal packet Radio service (general packet Radio service, GPRS), long term evolution (long term evolution, LTE), LTE frequency division duplex (frequency division duplex, FDD), LTE time division duplex (time division duplex, TDD), long term evolution-advanced (long term evolution advanced, LTE-a), universal mobile system (universal mobile telecommunication system, UMTS), worldwide interoperability for microwave access (worldwide interoperability for microwave access, wiMAX), 5G New air interface (New Radio, NR), and the like. Terminal devices and network devices are included in these various systems. Core network parts such as evolved packet system (Evloved Packet System, EPS), 5G system (5 GS) etc. may also be included in the system.

The terminal device according to the embodiments of the present application may be a device that provides voice and/or data connectivity to a user, a handheld device with a wireless connection function, or other processing device connected to a wireless modem, etc. The names of the terminal devices may also be different in different systems, for example in a 5G system, the terminal devices may be referred to as User Equipment (UE). The wireless terminal device may communicate with one or more Core Networks (CNs) via a radio access Network (Radio Access Network, RAN), which may be mobile terminal devices such as mobile phones (or "cellular" phones) and computers with mobile terminal devices, e.g., portable, pocket, hand-held, computer-built-in or vehicle-mounted mobile devices that exchange voice and/or data with the radio access Network. Such as personal communication services (Personal Communication Service, PCS) phones, cordless phones, session initiation protocol (Session Initiated Protocol, SIP) phones, wireless local loop (Wireless Local Loop, WLL) stations, personal digital assistants (Personal Digital Assistant, PDAs), and the like. The wireless terminal device may also be referred to as a system, subscriber unit (subscriber unit), subscriber station (subscriber station), mobile station (mobile), remote station (remote station), access point (access point), remote terminal device (remote terminal), access terminal device (access terminal), user terminal device (user terminal), user agent (user agent), user equipment (user device), and the embodiments of the present application are not limited.

The network device according to the embodiment of the present application may be a base station, where the base station may include a plurality of cells for providing services for a terminal. A base station may also be called an access point or may be a device in an access network that communicates over the air-interface, through one or more sectors, with wireless terminal devices, or other names, depending on the particular application. The network device may be operable to exchange received air frames with internet protocol (Internet Protocol, IP) packets as a router between the wireless terminal device and the rest of the access network, which may include an Internet Protocol (IP) communication network. The network device may also coordinate attribute management for the air interface. For example, the network device according to the embodiments of the present application may be a network device (Base Transceiver Station, BTS) in a global system for mobile communications (Global System for Mobile communications, GSM) or code division multiple access (Code Division Multiple Access, CDMA), a network device (NodeB) in a wideband code division multiple access (Wide-band Code Division Multiple Access, WCDMA), an evolved network device (evolutional Node B, eNB or e-NodeB) in a long term evolution (long term evolution, LTE) system, a 5G base station (gNB) in a 5G network architecture (next generation system), a home evolved base station (Home evolved Node B, heNB), a relay node (relay node), a home base station (femto), a pico base station (pico), and the like. In some network structures, the network device may include a Centralized Unit (CU) node and a Distributed Unit (DU) node, which may also be geographically separated.

Multiple-input Multiple-output (Multi Input Multi Output, MIMO) transmissions may each be made between a network device and a terminal device using one or more antennas, and the MIMO transmissions may be Single User MIMO (SU-MIMO) or Multiple User MIMO (MU-MIMO). The MIMO transmission may be 2D-MIMO, 3D-MIMO, FD-MIMO, or massive-MIMO, or may be diversity transmission, precoding transmission, beamforming transmission, or the like, depending on the form and number of the root antenna combinations.

Fig. 2 is a schematic flow chart of a data calibration method according to an embodiment of the present application, where the data calibration method may be used in a network device, for example: the NR base station hardware AAU (Active Antenna Unit, active antenna processing unit) device is mainly applied to an antenna calibration subsystem. As shown in fig. 2, the data calibration method may include the steps of:

step 201, acquiring first frequency domain data to be calibrated, where the first frequency domain data is frequency domain data corresponding to each PRB in a set bandwidth.

Specifically, the first frequency domain data may refer to frequency domain data to be calibrated reported by a field programmable gate array (Field Programmable Gate Array, FPGA) module of the network device. The set bandwidth may be the current antenna calibration system bandwidth.

Such as: setting the bandwidth as 100M and setting the number of PRBs in the bandwidth as 273, wherein the first frequency domain data is to-be-calibrated frequency domain data corresponding to the 273 PRBs.

And, for example: and setting the bandwidth to be 80M, setting the number of PRBs in the bandwidth to be 217, and setting the first frequency domain data to be the frequency domain data to be calibrated corresponding to the 217 PRBs.

And, for example: and setting the bandwidth to be 60M, setting the number of PRBs in the bandwidth to be 162, and setting the first frequency domain data to be the frequency domain data to be calibrated corresponding to the 162 PRBs.

Step 202, determining a first phase of each PRB and a first window length of a sliding window for phase smoothing the first phase of each PRB according to the first frequency domain data.

In particular, the first phase may refer to a phase determined from the first frequency domain data. Such as: and calculating the first phase by adopting a CORDIC method according to the channel estimation result corresponding to the first frequency domain data.

The first window length may refer to a sliding window length that phase smoothes the first phase. The sliding window length is not preset but is determined from the first frequency domain data, which varies with a change from the first frequency domain data. Such as: the specific size of the sliding window length is determined according to the quality of the channel corresponding to the first frequency domain data, when the wireless channel environment is bad, a larger sliding window length can be adopted to obtain a better sliding window effect, and when the wireless channel environment is good, a smaller sliding window length can be adopted to realize the minimum calculation amount in the sliding window time and the optimal sliding window effect.

Step 203, performing phase smoothing in a setting mode on the first phase of each PRB according to the first window length to obtain a second phase of each PRB; the setting method is a Moving Average (MA) method.

Specifically, the second phase may refer to a phase obtained by smoothing the first phase by the MA method.

The MA method is also called a sliding average method, and is a reliable smooth prediction technology. The implementation process is as follows: according to the PRB phase sequence, the average value of phases containing a certain number of terms is calculated sequentially in a gradual transition mode so as to reflect the phase change trend of the whole bandwidth. When data is calibrated, the MA mode is used, so that the phase continuity of each PRB is stronger, and the uncertainty jump caused by the discontinuity between the segments generated by the fixed segmentation method can be solved. When the method is used for antenna calibration, the accuracy of the antenna calibration PRB phase can be improved, so that the generated calibration coefficient has stronger robustness and better calibration performance.

And 204, determining the calibration coefficient of each PRB according to the second phase of each PRB.

Specifically, after determining the second phase of each PRB, the calibration coefficient of each PRB may be determined according to the second phase of each PRB. The calibration coefficient is mainly used for compensating frequency domain data.

And 205, calibrating the first frequency domain data according to the calibration coefficient of each PRB to obtain second frequency domain data.

Specifically, the first frequency domain data is calibrated according to the calibration coefficient of each PRB, and the second frequency domain data is obtained.

As can be seen from the above embodiments, by acquiring first frequency domain data to be calibrated, the first frequency domain data is frequency domain data corresponding to each physical resource block PRB in a set bandwidth; determining a first phase of each PRB and a first window length of a sliding window for performing phase smoothing on the first phase of each PRB according to the first frequency domain data; performing phase smoothing of a setting mode on the first phase of each PRB according to the first window length to obtain a second phase of each PRB; wherein, the setting mode is MA mode; determining a calibration coefficient of each PRB according to the second phase of each PRB; the first frequency domain data is calibrated according to the calibration coefficient of each PRB to obtain the second frequency domain data, so that the calibration coefficient obtained after the phase smoothing is performed in an MA mode is higher in precision and better in performance, the calibration coefficient is compensated to the frequency domain signal, the channel decoding and fault tolerance capacity is improved, and when the calibration coefficient obtained after the phase smoothing is performed in the MA mode is used for an antenna calibration system, the service rate can be further improved, and the experience of a user on a network is improved.

Optionally, when determining the first phase of each PRB according to the first frequency domain data and the first window length of the sliding window for performing phase smoothing, the method may include:

determining a signal to noise ratio for determining a first window length according to the channel estimation result;

the first window length is determined based on the signal-to-noise ratio.

Specifically, channel estimation is a process of estimating model parameters of a certain channel model to be assumed in received data, and if a channel is linear, channel estimation is to estimate a system impulse response. The method mainly comprises a Least-Square (LS) method and a minimum mean Square error (MinimumMean Square Error, MMSE), the MMSE has high complexity and longer processing time, the LS algorithm has relatively low complexity, the time consumption is short during processing, and a good channel estimation result can be obtained through multiple simulation LS. Therefore, the antenna calibration system of the embodiment of the present application mainly adopts LS channel estimation.

After the first frequency domain data is acquired, the channel estimation result can be obtained through an LS algorithm as follows:

Wherein m=0, 1, …, M _AC 1, representing a PRB index, Y (m) representing the frequency domain data to be calibrated (i.e. the first frequency domain data),is->Conjugation of->For the base sequence used for data calibration, it is obtained by:

wherein M is more than or equal to 0 and less than or equal to M _AC -1，M _AC To calibrate the sequence length, M _AC ＝N _RB ，N _RB Calibrating the number of PRBs (namely, each PRB in a set bandwidth corresponding to the first frequency domain data) contained in the system bandwidth for the current antenna, and N _AC Is less than or equal to M _AC Is the largest prime number of (c). As shown in the table 2 below,the bandwidth and the number of PRBs are in one-to-one correspondence, as specified by the protocol.

TABLE 2

After determining the channel estimation result, determining a first phase of each PRB according to the channel estimation result. Wherein, the CORDIC method can be adopted to calculate the phase of each PRB channel estimation to obtain the phase of the channel estimation

And determining the signal to noise ratio for determining the length of the first window according to the channel estimation result. The Signal-to-Noise ratio (SNR) refers to the Signal power P _S And noise power P _n Log is taken again, namely:

SNR＝10×log10(P _s /P _n ) ......................................... Formula (13)

The signal power is calculated according to the channel estimation result, and the noise power is obtained according to the noise reported by the FPGA, namely:

wherein N (m) is the noise value reported by the FPGA.

The first window length is determined based on the signal-to-noise ratio. The optimal window length can be selected according to the signal-to-noise ratio value of the channel, the window length value is the optimal value obtained through algorithm simulation verification, and indexes such as time calculation amount, space complexity and precision are fully considered.

Window length selection is performed according to the SNR calculated in the previous step, and the window length selection is specifically shown in the following table 3:

TABLE 3 Table 3

SNR	L _MA (in PRB units)	Description of the invention
			1-25	21	Without any means for
26-30	15	Without any means for
			>30	9	Without any means for

As can be seen from the above embodiments, by determining the first phase and the first window length of each PRB, the continuity of the calibration coefficient phase can be further improved, so that the phase stability is better over the whole bandwidth, and no large fluctuation occurs.

Optionally, the relationship between the first window length and the signal to noise ratio is an inverse proportional relationship.

Specifically, when MA phase smoothing is performed, the length of the sliding window needs to be calculated first, the quality of channel signal quality is fully considered by selecting the sliding window length, when the wireless channel environment SNR value is smaller, that is, worse, the sliding window length can be larger to obtain better sliding window effect, and when the wireless channel environment is better, the sliding window length can be smaller.

As can be seen from the above embodiments, the relationship between the first window length and the signal to noise ratio is an inverse proportional relationship, so that the calculation amount on the sliding window time is minimum and the sliding window effect is optimal.

Optionally, when performing the phase smoothing of the setting manner on the first phase of each PRB according to the first window length to obtain the second phase of each PRB, the method may include:

Specifically, after determining the first window length, performing first MA phase smoothing on the first phase of each PRB according to the first window length, to obtain a third phase of each PRB. And then, performing second MA phase smoothing on the third phase of each PRB according to a preset rule to obtain a second phase of each PRB.

As can be seen from the above embodiments, the phase after the phase smoothing is more stable after the phase smoothing is performed twice, and the performance of the generated calibration coefficient is better.

Optionally, the set bandwidth includes a first edge bandwidth portion, a middle bandwidth portion, and a second edge bandwidth portion; each PRB includes each first PRB in the first edge bandwidth portion, each second PRB in the intermediate bandwidth portion, each third PRB in the second edge bandwidth portion;

when performing first MA phase smoothing on the first phase of each PRB according to the first window length to obtain the third phase of each PRB, the method may include:

Specifically, after the first window length is determined, MA phase smoothing operation can be performed, and the concept of MA fully considers the difference between the phase differences of the PRB index as the intermediate bandwidth and the bandwidths at both sides of the edge, so that when the phase smoothing operation is performed, three cases are divided, that is, the set bandwidth includes a first edge bandwidth portion, an intermediate bandwidth portion and a second edge bandwidth portion. Still further, the individual PRBs include each first PRB within the first edge bandwidth portion, each second PRB within the intermediate bandwidth portion, each third PRB within the second edge bandwidth portion.

Determining a second window length corresponding to each first PRB according to the first window length, wherein the second window length is smaller than the first window length, and performing first smoothing on the first phase of each first PRB according to the second window length to obtain a third phase of each first PRB.

Determining a third window length corresponding to each second PRB according to the first window length, wherein the third window length is the same as the first window length, and performing first smoothing on the first phase of each second PRB according to the third window length to obtain a third phase of each second PRB.

As shown in table 4, table 4 represents the edge bandwidth and intermediate bandwidth first phase smoothing calculation description:

TABLE 4 Table 4

/>

As can be seen from the above embodiments, by fully considering the difference between the phase differences between the PRB index and the bandwidths at the middle and edge sides, the phase stability is better over the whole bandwidth, and no large fluctuation occurs.

Optionally, determining a second window length corresponding to each first PRB according to the first window length, where the second window length is smaller than the first window length, and performing a first smoothing process on the first phase of each first PRB according to the second window length to obtain a third phase of each first PRB, where the first smoothing process includes:

wherein m is the identification of the first PRB, and the value range of m is as follows:

L _MA is a first window length; l (L) ₁ A second window length;for the first phase, Q _I (m) is the third phase.

Specifically, based on consideration of the difference in phase between the PRB index being the middle bandwidth and the bandwidths on both sides of the edge, a first formula is set as:

and performing first smoothing processing through a first formula to obtain a third phase of each first PRB.

As can be seen from the above embodiments, the first smoothing process is performed by using the first formula to obtain the third phase of each first PRB, which can better give consideration to the difference in phase between the PRB index and the bandwidths on the middle and edge sides, so that the stability of the phase on the whole bandwidth is better.

Optionally, determining a third window length corresponding to each second PRB according to the first window length, where the third window length is the same as the first window length, and performing a first smoothing process on the first phase of each second PRB according to the third window length to obtain a third phase of each second PRB, where the first smoothing process includes:

wherein m is the identifier of the second PRB, and the value range of m is:

L _MA for a first window length, N _RB Setting the number of PRBs contained in the bandwidth; l (L) ₂ A third window length;for the first phase, Q _I (m) is the third phase.

Specifically, as above, the second formula is set to

L ₂ ＝L _MA

And

and performing first smoothing processing by the second formula to obtain a third phase of each second PRB.

As can be seen from the above embodiments, the third phase of each second PRB is obtained by performing the first smoothing process according to the second formula, which can better give consideration to the difference in phase between the PRB index and the bandwidths on the middle and edge sides, so that the stability of the phase on the whole bandwidth is better.

Optionally, determining a fourth window length corresponding to each third PRB according to the first window length, where the fourth window length is smaller than the first window length, and performing a first smoothing process on the first phase of each third PRB according to the fourth window length to obtain a third phase of each third PRB, where the first smoothing process includes:

L ₃ ＝2×(N _RB -1-m)+1

and

wherein m is the identification of the third PRB, and the value range of m is

L _MA For a first window length, N _RB Setting the number of PRBs contained in the bandwidth; l (L) ₃ A fourth window length;for the first phase, Q _I (m) is the third phase.

Specifically, by setting a third formula, performing the first smoothing process by using the third formula, to obtain a third phase of each third PRB.

As can be seen from the above embodiments, the third phase of each second PRB is obtained by performing the first smoothing process according to the third formula, which can better give consideration to the difference in phase between the PRB index and the bandwidths on the middle and edge sides, so that the stability of the phase over the whole bandwidth is better.

Optionally, the set bandwidth includes an edge bandwidth portion and a non-edge bandwidth portion;

performing second MA phase smoothing on the third phase of each PRB according to the set rule to obtain a second phase of each PRB, including:

for each fourth PRB in the edge bandwidth part, performing second MA phase smoothing on a third phase of the fourth PRB by using third phases of one or more other PRBs adjacent to the fourth PRB to obtain a second phase of the fourth PRB;

for each fifth PRB within the non-marginal bandwidth portion, the second phase of the fifth PRB is the same as the third phase of the fifth PRB.

Specifically, the concept of MA fully considers the difference in phase between the PRB index as the middle bandwidth and the bandwidths on both sides of the edge, so that the set bandwidth includes an edge bandwidth portion and a non-edge bandwidth portion when performing the phase smoothing operation.

Since edge PRBs are susceptible to interference from adjacent bandwidths, they need to be smoothed again. And performing second MA phase smoothing on the third phase of the fourth PRB by using the third phase of one or more other PRBs adjacent to the fourth PRB for each fourth PRB in the edge bandwidth part to obtain a second phase of the fourth PRB.

As can be seen from the above embodiments, by performing the protection smoothing processing on the PRBs at the edge, the interference of the signal outside the bandwidth on the PRBs at the edge of the bandwidth can be effectively alleviated.

Optionally, performing second MA phase smoothing on the third phase of the fourth PRB by using the third phase of one or more other PRBs adjacent to the fourth PRB to obtain the second phase of the fourth PRB, including:

performing second MA smoothing treatment by using a fourth formula; wherein the fourth formula comprises:

Q _II (m)＝(Q _I (m)+(2×Q _I (m+1)-Q _I (m+2)))/2

or (b)

Q _II (m)＝(Q _I (m)+(2×Q _I (m-1)-Q _I (m-2)))/2

Wherein m is the identification of the fourth PRB; n (N) _RB Setting the number of PRBs contained in the bandwidth; q (Q) _I (m) is a third phase, Q _II (m) is the second phase.

Specifically, the second MA smoothing process may be performed using the fourth equation, to obtain the second phase of the fourth PRB. With 4 PRBs at the edge, i.e. two PRBs before and after (m=0, 1, n _RB -1 and N _RB -2) performing a phase smoothing protection operation to reduce interference of signals outside the bandwidth to the several PRBs, the calculation procedure being as follows:

Q _II (0)＝(Q _I (0)+(2×Q _I (1)-Q _I (2) Formula (15))/2................

Q _II (1)＝(Q _I (1)+(2×Q _I (2)-Q _I (3) Formula (16))/2................

Q _II (N _RB -1)＝(Q _I (N _RB -1)+(2×Q _I (N _RB -2)-Q _I (N _RB -3)))/2........... Formula (17)

Q _II (N _RB -2)＝(Q _I (N _RB -2)+(2×Q _I (N _RB -3)-Q _I (N _RB -4)))/2........... Formula (18)

The rest of m (m =2, 3, 4N _RB -3)，Q _II (m)＝Q _I (m)......... Formula (19)

The above data calibration procedure is specifically described below by three embodiments:

in the first embodiment, as shown in fig. 3:

(1) And receiving the frequency domain data reported by the FPGA.

(2) Channel estimation is performed.

(3) And performing phase calculation.

(4) And calculating the signal to noise ratio.

(5) Judging whether the SNR is less than or equal to 25, if so, letting L _MA =21, and perform step (7); if not, executing the step (6).

(6) Judging whether SNR is less than or equal to 30, if so, making L _MA =15, and step (7) is performed; if not, executing the step (7).

(7) Let L _MA ＝9。

(8) Phase MA first smoothing Q _I (m),m＝0～N _RB -1。

(9) Judging whether m=0 to L _MA -1, if so, letting

And performing step (12); if not, executing the step (10).

(10) Determine whether m=n _RB -(L _MA -1)/2～N _RB -1, if so, letting

And performing step (12); if not, executing the step (11).

(11) Determine whether m= (L) _MA -1)/2～N _RB -(L _MA -1)/2-1, if so, then

And performing step (12); if not, the process ends.

(12) Phase MA second smoothing Q _II (m),m＝0～N _RB -1。

(13) Judging whether m=0, if so, then

Let Q _II (0)＝(Q _I (0)+(2×Q _I (1)-Q _I (2)))/2，

And executing the step (18), if not, executing the step (14).

(14) Judging whether m=1, if so, making

Q _II (1)＝(Q _I (1)+(2×Q _I (2)-Q _I (3)))/2，

And executing the step (18), if not, executing the step (15).

(15) Determine whether m=n _RB -1, if so, letting

Q _II (N _RB -1)＝(Q _I (N _RB -1)+(2×Q _I (N _RB -2)-Q _I (N _RB -3)))/2,

And executing the step (18), if not, executing the step (16).

(16) Determine whether m=n _RB -2, if yes, let

Q _II (N _RB -2)＝(Q _I (N _RB -2)+(2×Q _I (N _RB -3)-Q _I (N _RB -4)))/2，

And executing the step (18), if not, executing the step (17).

(17) Judging whether m=2 to N _RB -3, if so, let Q _II (m)＝Q _I (m), and executing the step (18), if not, ending the flow.

(18) And calculating a calibration coefficient.

(19) And compensating the data to the frequency domain data, and ending the flow.

In the second embodiment, as shown in fig. 4:

with L _MA For example, =21, MA phase smoothing is performed, and fig. 4 shows a calculation process of MA full-bandwidth PRB phase smoothing.

Embodiment three, as shown in fig. 5 and 6:

for testing a set of data randomly grabbed by the environment, the calibration error (phase difference is between-5.5 and 3.5) obtained after the calibration coefficient is compensated by the calibration coefficient after the phase smoothing of the figure 5 is adopted, the calibration error (phase error between-1.4 and 1.5) is obtained after the calibration coefficient is compensated by the calibration coefficient after the phase smoothing of the MA, and as can be seen from the figure, the calibration error generated by the phase smoothing of the MA is smaller, the continuity is better, and no excessive jump exists, so that the calibration system of the NR antenna is favored.

FIG. 7 is a schematic diagram of a data calibration device according to an embodiment of the present application, where the data calibration device may be used to implement the data calibration method shown in FIG. 2 or FIG. 3; as shown in fig. 7, the data calibration device may include:

a data acquisition unit 71, configured to acquire first frequency domain data to be calibrated, where the first frequency domain data is frequency domain data corresponding to each physical resource block PRB in a set bandwidth;

a first determining unit 72, configured to determine a first phase of each PRB according to the first frequency domain data, and a first window length of a sliding window for performing phase smoothing on the first phase of each PRB;

a phase smoothing unit 73, configured to perform phase smoothing in a setting manner on the first phase of each PRB according to the first window length, so as to obtain a second phase of each PRB; wherein, the setting mode is a moving average MA mode;

a second determining unit 74, configured to determine a calibration coefficient of each PRB according to a second phase of each PRB;

the data calibration unit 75 is configured to calibrate the first frequency domain data according to the calibration coefficient of each PRB, and obtain second frequency domain data.

Further, on the basis of the above apparatus, the first determining unit further includes:

The first determining subunit is used for carrying out channel estimation according to the first frequency domain data to obtain a channel estimation result;

a second determining subunit, configured to determine a first phase of each PRB according to the channel estimation result;

a third determining subunit, configured to determine a signal-to-noise ratio for determining the first window length according to the channel estimation result;

and a fourth determining subunit, configured to determine the first window length according to the signal-to-noise ratio.

Further, on the basis of the device, the relation between the length of the first window and the signal to noise ratio is an inverse proportion relation.

Further, on the basis of the above device, the phase smoothing unit further includes:

a first phase smoothing subunit, configured to perform first MA phase smoothing on the first phase of each PRB according to the first window length, to obtain a third phase of each PRB;

and the second phase smoothing subunit is used for performing second MA phase smoothing on the third phase of each PRB according to a set rule to obtain the second phase of each PRB.

Further, on the basis of the above device, the set bandwidth includes a first edge bandwidth portion, a middle bandwidth portion, and a second edge bandwidth portion; each PRB includes each first PRB in the first edge bandwidth portion, each second PRB in the intermediate bandwidth portion, each third PRB in the second edge bandwidth portion; the first phase smoothing subunit further comprises:

The first phase smoothing module is used for determining a second window length corresponding to each first PRB according to the first window length, wherein the second window length is smaller than the first window length, and performing first smoothing processing on the first phase of each first PRB according to the second window length to obtain a third phase of each first PRB;

the second phase smoothing module is used for determining a third window length corresponding to each second PRB according to the first window length, wherein the third window length is the same as the first window length, and performing first smoothing processing on the first phase of each second PRB according to the third window length to obtain a third phase of each second PRB;

the third phase smoothing module is configured to determine a fourth window length corresponding to each third PRB according to the first window length, where the fourth window length is smaller than the first window length, and perform a first smoothing process on the first phase of each third PRB according to the fourth window length to obtain a third phase of each third PRB.

Further, based on the above device, the first phase smoothing module is specifically configured to:

L ₁ ＝2×m+1

And

wherein m is the identification of the first PRB, and the value range of m is

Further, based on the above device, the second phase smoothing module is specifically configured to:

L ₂ ＝L _MA

and

/>

wherein m is the identity of the second PRB, and the value range of m isTo->L _MA For a first window length, N _RB Setting the number of PRBs contained in the bandwidth; l (L) ₂ A third window length; />For the first phase, Q _I (m) is the third phase.

Further, on the basis of the above device, the third phase smoothing module is specifically configured to:

L ₃ ＝2×(N _RB -1-m)+1

and

wherein m is the identification of the third PRB, and the value range of m isTo N _RB -1；L _MA For a first window length, N _RB Setting the number of PRBs contained in the bandwidth; l (L) ₃ A fourth window length; />For the first phase, Q _I (m) is the third phase.

Further, on the basis of the device, the set bandwidth comprises an edge bandwidth part and a non-edge bandwidth part; the second phase smoothing subunit further comprises:

A first determining module, configured to perform second MA phase smoothing on a third phase of a fourth PRB by using a third phase of one or more other PRBs adjacent to the fourth PRB for each fourth PRB in the edge bandwidth portion, to obtain a second phase of the fourth PRB;

and the second determining module is used for aiming at each fifth PRB in the non-edge bandwidth part, and the second phase of the fifth PRB is the same as the third phase of the fifth PRB.

Further, on the basis of the above device, the first determining module is specifically configured to:

performing a second smoothing process using a fourth formula; wherein the fourth formula comprises:

Q _II (m)＝(Q _I (m)+(2×Q _I (m+1)-Q _I (m+2)))/2

or (b)

Q _II (m)＝(Q _I (m)+(2×Q _I (m-1)-Q _I (m-2)))/2

It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice. In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a processor-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all or part of the technical solution contributing to the prior art or in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

It should be noted that, the above device provided in the embodiment of the present invention can implement all the method steps implemented in the method embodiment and achieve the same technical effects, and detailed descriptions of the same parts and beneficial effects as those in the method embodiment in this embodiment are omitted.

Fig. 8 is a schematic structural diagram of a network device according to an embodiment of the present application; the network device may be used to perform the data calibration method shown in fig. 1 to 6. As shown in fig. 8, a transceiver 800 is used to receive and transmit data under the control of a processor 810.

Wherein in fig. 8, a bus architecture may comprise any number of interconnected buses and bridges, and in particular one or more processors represented by processor 810 and various circuits of memory represented by memory 820, linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface. Transceiver 800 may be a number of elements, including a transmitter and a receiver, providing a means for communicating with various other apparatus over a transmission medium, including wireless channels, wired channels, optical cables, etc. The processor 810 is responsible for managing the bus architecture and general processing, and the memory 820 may store data used by the processor 810 in performing operations.

The processor 810 may be a Central Processing Unit (CPU), an application specific integrated circuit (ApplicationSpecific Integrated Circuit, ASIC), a Field programmable gate array (Field-Programmable Gate Array, FPGA) or a complex programmable logic device (Complex Programmable Logic Device, CPLD), or it may employ a multi-core architecture.

In another aspect, embodiments of the present application further provide a processor readable storage medium storing a computer program, where the computer program is configured to cause a processor to perform the method provided in the foregoing embodiments, including:

performing phase smoothing of a setting mode on the first phase of each PRB according to the first window length to obtain a second phase of each PRB; wherein, the setting mode is a moving average MA mode;

The processor-readable storage medium may be any available medium or data storage device that can be accessed by a processor including, but not limited to, magnetic memory (e.g., floppy disk, hard disk, tape, magneto-optical disk (MO), etc.), optical memory (e.g., CD, DVD, BD, HVD, etc.), and semiconductor memory (e.g., ROM, EPROM, EEPROM, nonvolatile memory (NAND FLASH), solid State Disk (SSD)), etc.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. 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-executable instructions. These computer-executable 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 processor-executable instructions may also be stored in a processor-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 processor-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 processor-executable 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.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims

1. A method of data calibration, comprising:

2. The data alignment method of claim 1, wherein the determining a first phase of the respective PRBs from the first frequency domain data and a first window length of a sliding window for phase smoothing comprises:

3. The data alignment method of claim 2 wherein the relationship between the first window length and the signal-to-noise ratio is an inverse proportional relationship.

4. A data alignment method according to any of claims 1 to 3, wherein the performing phase smoothing in a setting manner on the first phase of each PRB according to the first window length to obtain the second phase of each PRB includes:

5. The data alignment method of claim 4, wherein the set bandwidth comprises a first edge bandwidth portion, a middle bandwidth portion, and a second edge bandwidth portion; the individual PRBs include each first PRB within the first edge bandwidth portion, each second PRB within the intermediate bandwidth portion, each third PRB within the second edge bandwidth portion;

6. The data calibration method according to claim 5, wherein the determining the second window length corresponding to each first PRB according to the first window length, the second window length being smaller than the first window length, and performing a first smoothing process on the first phase of each first PRB according to the second window length to obtain the third phase of each first PRB, includes:

L ₁ ＝2×m+1

and

wherein m is the identity of the first PRB, and the value range of m is 0 toL _MA For the first window length; l (L) ₁ For the second window length; />For the first phase, Q _I (m) is the third phase.

7. The data calibration method according to claim 5, wherein the determining a third window length corresponding to each second PRB according to the first window length, the third window length being the same as the first window length, and performing a first smoothing process on the first phase of each second PRB according to the third window length to obtain a third phase of each second PRB, includes:

L ₂ ＝L _MA

and

wherein m is the identifier of the second PRB, and the value range of m isTo->L _MA For the first window length, N _RB Setting the number of PRBs contained in the bandwidth; l (L) ₂ For the third window length;for the first phase, Q _I (m) is the third phase.

8. The data calibration method according to claim 5, wherein the determining a fourth window length corresponding to each third PRB according to the first window length, the fourth window length being smaller than the first window length, and performing a first smoothing process on the first phase of each third PRB according to the fourth window length to obtain a third phase of each third PRB, includes:

L ₃ ＝2×(N _RB -1-m)+1

and

wherein m is the identifier of the third PRB, and the value range of m isTo N _RB -1；L _MA For the first window length, N _RB Setting the number of PRBs contained in the bandwidth; l (L) ₃ For the fourth window length; />For the first phase, Q _I (m) is the third phase.

9. The data alignment method of claim 4, wherein the set bandwidth comprises an edge bandwidth portion and a non-edge bandwidth portion;

10. The data alignment method of claim 9, wherein the performing a second MA phase smoothing on the third phase of the fourth PRB with the third phase of one or more other PRBs adjacent to the fourth PRB to obtain the second phase of the fourth PRB comprises:

Q _II (m)＝(Q _I (m)+(2×Q _I (m+1)-Q _I (m+2)))/2

or (b)

Q _II (m)＝(Q _I (m)+(2×Q _I (m-1)-Q _I (m-2)))/2

11. A network device comprising a memory, a transceiver, and a processor:

A memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and performing the following operations:

12. The network device of claim 11, wherein the determining a first phase of the respective PRBs from the first frequency domain data and a first window length of a sliding window for phase smoothing comprises:

13. The network device of claim 12, wherein the relationship between the first window length and the signal-to-noise ratio is an inverse proportional relationship.

14. The network device according to any one of claims 11 to 13, wherein the performing phase smoothing in a setting manner on the first phase of each PRB according to the first window length to obtain the second phase of each PRB includes:

15. The network device of claim 14, wherein the set bandwidth comprises a first edge bandwidth portion, a middle bandwidth portion, and a second edge bandwidth portion; the individual PRBs include each first PRB within the first edge bandwidth portion, each second PRB within the intermediate bandwidth portion, each third PRB within the second edge bandwidth portion;

16. The network device of claim 15, wherein the determining the second window length corresponding to each first PRB according to the first window length, the second window length being smaller than the first window length, and performing a first smoothing process on the first phase of each first PRB according to the second window length to obtain the third phase of each first PRB, comprises:

L ₁ ＝2×m+1

and

wherein m is the index of the first PRBRecognizing that the value range of m is 0 toL _MA For the first window length; l (L) ₁ For the second window length; />For the first phase, Q _I (m) is the third phase.

17. The network device of claim 15, wherein the determining a third window length corresponding to each second PRB according to the first window length, the third window length being the same as the first window length, and performing a first smoothing process on the first phase of each second PRB according to the third window length to obtain a third phase of each second PRB, comprises:

L ₂ ＝L _MA

and

wherein m is the identifier of the second PRB, and the value range of m isTo->L _MA For the first window length, N _RB Setting the number of PRBs contained in the bandwidth; l (L) ₂ For the third window length; />For the first phase, Q _I (m) is the third phase.

18. The network device of claim 15, wherein the determining a fourth window length corresponding to each third PRB according to the first window length, the fourth window length being smaller than the first window length, and performing a first smoothing process on the first phase of each third PRB according to the fourth window length to obtain a third phase of each third PRB, comprises:

L ₃ ＝2×(N _RB -1-m)+1

and

19. The network device of claim 14, wherein the set bandwidth comprises an edge bandwidth portion and a non-edge bandwidth portion;

20. The network device of claim 19, wherein the performing a second MA phase smoothing on the third phase of the fourth PRB with the third phase of one or more other PRBs adjacent to the fourth PRB to obtain the second phase of the fourth PRB comprises:

Q _II (m)＝(Q _I (m)+(2×Q _I (m+1)-Q _I (m+2)))/2

or (b)

Q _II (m)＝(Q _I (m)+(2×Q _I (m-1)-Q _I (m-2)))/2

21. A data alignment apparatus, comprising:

22. A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program for causing the processor to perform the method of any one of claims 1 to 10.