CN116156617B

CN116156617B - Data processing method, device and storage medium for receiving end of wireless communication system

Info

Publication number: CN116156617B
Application number: CN202310432164.0A
Authority: CN
Inventors: 黄浩; 孙欣慧; 黄昕; 周楠清
Original assignee: Chengdu Airui Wireless Technology Co ltd
Current assignee: Chengdu Airui Wireless Technology Co ltd
Priority date: 2023-04-21
Filing date: 2023-04-21
Publication date: 2023-08-29
Anticipated expiration: 2043-04-21
Also published as: CN116156617A

Abstract

The invention discloses a data processing method, a device and a storage medium of a receiving end of a wireless communication system, wherein the method comprises the following steps: according to the signal transmission configuration, acquiring a data stream to be received, dividing the data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy based on the dimension of subcarriers as a grouping, determining the actual subcarrier number in each subcarrier group of the current grouping, and then executing a corresponding data processing flow on the subcarriers in each subcarrier group according to each subcarrier group. Therefore, the dependence among the groups of data after grouping can be weakened, and the parallel processing of the data grouping of the receiving end of the wireless communication system is realized, so that the operation efficiency of the system is improved, and the low-delay requirement of data transmission is met.

Description

Data processing method, device and storage medium for receiving end of wireless communication system

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for processing data at a receiving end of a wireless communication system, and a storage medium.

Background

With the large-scale application of wireless communication, wireless communication is required to meet the demand for high speed and large capacity. For example, the resolution of a high definition 8K device supports 16 times as many pixels as the resolution of a 2K device, then the rate requirement for high definition 8K is at least 16 times as high as 2K. The increasing amount of computation, as well as the complexity of the computation, leads to an increase in processing time. To meet the low latency of data transmission, it is necessary to shorten the processing time. The need to achieve the shortest delay is an important indicator of wireless communication system implementation.

To reduce processing latency, parallel processing methods may be employed in multi-core systems (e.g., GPUs, multi-core x86 CPUs, multi-core ARM, multi-core DSP, and heterogeneous systems with multiple types of processors). By parallel processing is meant a calculation method that performs two or more processes simultaneously. Parallel processing may work simultaneously on different aspects of the same program. The main purpose of parallel processing is to save time in solving large and complex problems. To use the parallel processing method, first, parallelization processing needs to be performed on a program, that is, each part of work is allocated to a different processing process (thread)/processing core (refer to one processing unit in a processor, for example, one core of a multi-core processor, etc.). Since the parallelization process has a problem of correlation, the correlation needs to be released first. In theory, the execution speed of parallel processing on n processing cores may be n times the speed of execution on a single processing core.

Fig. 1 is a schematic flow chart of data processing at a receiving end of a wireless communication system provided in the prior art. As shown in fig. 1, the receiving end data processing method of the conventional wireless communication system is serial processing, that is, each module needs to wait for the processing of all data by the upper module before starting the data processing of the current module.

First, a receiving end of a wireless communication system performs channel estimation, time offset estimation and frequency offset estimation based on a received reference signal. Because the time offset estimation and the frequency offset estimation need to carry out operation estimation on all data and contain the information of all data, the performance of a receiving end of a wireless communication system can be ensured to the greatest extent when time offset compensation and frequency offset compensation are carried out, and the error rate is reduced. The subsequent modules such as channel estimation interpolation, equalization, and frequency offset compensation all need to wait for the results of the channel estimation, time offset estimation, and frequency offset estimation. Therefore, if the data amount is calculated as N, the delay of data processing at the receiving end of the wireless communication system may be expressed as "the first channel estimation delay n1+the time offset estimation delay n2+the second channel estimation delay n3+the frequency offset estimation delay n4+the channel interpolation delay n5+the equalization delay n6+the frequency offset compensation delay N7". As the amount of data is multiplied, the corresponding processing delay increases. In theory, if parallel processing is performed, data with data size N is distributed to M processing units for simultaneous processing, the corresponding processing delay would be theoretically one-M times the original processing delay. Even if the data volume is multiplied, the processing delay can be greatly reduced under the condition that the processing units are enough. As shown in FIG. 2, the processing flow of the parallel processing of the receiving end is to perform grouping processing on each module, so that a processing unit is added, and the processing time delay is reduced.

However, for the time offset estimation and frequency offset estimation, the module that needs to calculate the information of all data needs to wait for all processing units of the module to complete before acquiring the summarized information of all data (i.e. taking an equivalent result). This aggregated process presents a number of problems for packet parallel processing. For example, different processing units work independently and depend on the uncertainty of the processing delay of the front-stage module, so that whether the processing of each processing unit is completed or not needs to be mutually accessed, a great deal of waiting time is consumed in the process of mutually accessing, and a deadlock phenomenon even occurs due to improper processing. Taking time offset estimation and time offset compensation as examples, each group of data after data grouping carries out time offset estimation after channel estimation is completed, and a time offset compensation value needing compensation is calculated based on the sum of the time offset estimates of all the data and is used for compensating the received data. Because the time offset estimation completion time of each group of data is uncertain, all processing units for channel estimation need to be accessed before compensation, whether the data is operated is checked continuously, and the operation of compensation values can not be carried out until all processing units are operated, and the time offset compensation processing is carried out on the data. If only partial data information is used for calculating time offset estimation or frequency offset estimation, the time offset estimation and the frequency offset estimation are inaccurate due to the deficiency of sample points, so that final decoding is affected, and the performance of a receiving end of the whole wireless communication system is affected. Therefore, the receiving process of parallel processing in the prior art still has a plurality of defects.

Therefore, in order to solve the above-mentioned problems, it is needed to provide a new data processing method for the receiving end of the wireless communication system.

Disclosure of Invention

Aiming at the defects in the prior art, the invention provides a data processing method, a device and a storage medium of a receiving end of a wireless communication system, which are used for weakening the dependence among groups of data after grouping, so as to solve the problem of lower system processing efficiency after parallel processing of the data grouping of the receiving end in the prior art and meet the low-delay requirement of data transmission.

To achieve the above object, an embodiment of the present invention provides a data processing method at a receiving end of a wireless communication system, the method including:

acquiring a data stream to be received according to a signal transmission configuration, wherein the signal transmission configuration comprises the number of antennas, the number of time domain OFDM symbols and the number of frequency domain subcarriers;

dividing the data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy based on subcarriers as the dimension of grouping, and determining the actual subcarrier number in each subcarrier group of the current grouping; and

and for each subcarrier group of the current grouping, performing first channel estimation processing on subcarriers in the subcarrier group to acquire a first channel estimation matrix corresponding to a reference signal in the subcarrier group, and then performing time offset estimation processing, frequency offset estimation processing and channel estimation interpolation processing according to the first channel estimation matrix and subcarriers in the subcarrier group to acquire a channel estimation result corresponding to a data signal in the subcarrier group.

The embodiment of the invention also provides a data processing device of the receiving end of the wireless communication system, which comprises: the acquisition module is used for acquiring a data stream to be received according to a signal transmission configuration, wherein the signal transmission configuration comprises the number of antennas, the number of time domain OFDM symbols and the number of frequency domain subcarriers;

the dividing module is used for dividing the data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy based on the subcarriers as the dimensions of the grouping, and determining the actual subcarrier number in each subcarrier group of the current grouping; and

and the processing module is used for executing first channel estimation processing on the subcarriers in the subcarrier group aiming at each subcarrier group of the current grouping, outputting a first channel estimation matrix corresponding to the reference signals in the subcarrier group, and then executing time offset estimation processing, frequency offset estimation processing and channel estimation interpolation processing according to the first channel estimation matrix and the subcarriers in the subcarrier group so as to obtain a channel estimation result corresponding to the data signals in the subcarrier group.

Embodiments of the present invention also provide a computer-readable storage medium having a computer program stored therein, which when executed by a processor, implements a data processing method of a receiving end of a wireless communication system as described in any of the above.

The invention provides a data processing method, a device and a storage medium of a receiving end of a wireless communication system, wherein the method comprises the following steps: according to the signal transmission configuration, the data stream to be received is obtained, the data stream to be received is divided into a plurality of subcarrier groups according to a preset grouping strategy based on the dimension of the subcarrier as a grouping, the actual subcarrier number in each subcarrier group of the current grouping is determined, and then corresponding data processing flow is executed on the subcarrier in each subcarrier group aiming at each subcarrier group, so that the dependence among data of each group after grouping can be weakened, the parallel processing of the data grouping of the receiving end of the wireless communication system is realized, the operation efficiency of the system is improved, and the low-delay requirement of data transmission is met.

Further, in some embodiments, on the basis of the first subcarrier group set, one or more subcarriers from adjacent groups are added to the tail and the head of two adjacent first subcarrier groups respectively based on a second preset rule, so as to obtain a plurality of second subcarrier groups, and the plurality of second subcarrier groups form the second subcarrier group set, so that estimation accuracy of each subcarrier group after grouping can be improved.

Further, in some embodiments, the time offset value used for time offset compensation by the current packet is obtained by performing joint calculation by using the time offset value estimated instantaneously and the time offset value recorded in the history, so that the problem of system error rate increase caused by the decrease of the accuracy of time offset estimation due to the decrease of the sample amount processed in each group after the packet can be overcome.

Further, in some embodiments, the instantaneous estimated frequency offset value and the historical recorded frequency offset value are adopted to perform joint calculation to obtain the frequency offset value of the current packet for frequency offset compensation, so that the problem of system error rate increase caused by the decrease of frequency offset estimation accuracy due to the decrease of the sample amount processed in each group after the packet can be solved.

Drawings

The technical solution and other advantageous effects of the present invention will be made apparent by the following detailed description of the specific embodiments of the present invention with reference to the accompanying drawings.

Fig. 1 is a schematic flow chart of data processing at a receiving end of a wireless communication system provided in the prior art.

Fig. 2 shows a flow diagram of data processing at a receiving end of yet another wireless communication system provided in the prior art.

Fig. 3 is a flow chart illustrating a data processing method at a receiving end of a wireless communication system according to an embodiment of the present invention.

Fig. 4 is a schematic diagram illustrating a flow of data processing at a receiving end of a wireless communication system according to an embodiment of the present invention compared with a flow of data processing in the prior art.

Fig. 5 is a schematic flow chart of data processing at a receiving end of a wireless communication system according to an embodiment of the present invention.

Fig. 6 is a flow chart of a group number algorithm for dividing a data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy and determining a current grouping by a receiving end of a wireless communication system according to an embodiment of the present invention.

Fig. 7 is a schematic diagram illustrating a process of obtaining a second subcarrier group set based on the first subcarrier group set according to a second preset rule according to still another embodiment of the present invention.

Fig. 8 shows a specific exemplary schematic diagram of deriving a plurality of second subcarrier group sets on the basis of the first subcarrier group set in fig. 7.

Fig. 9 is a schematic flow chart of a time offset estimation process performed for each subcarrier group of a current packet according to an embodiment of the present invention.

Fig. 10 is a schematic flow chart of packet data sorting according to an embodiment of the present invention.

Fig. 11 is a block diagram showing a structure of a data processing apparatus applied to a receiving end of a wireless communication system according to an embodiment of the present invention.

Description of the embodiments

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.

The terms "first," "second," "third," and the like in the description and in the claims and drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the objects so described may be interchanged where appropriate. In the description of the present invention, the meaning of "a plurality" is two or more, unless specifically defined otherwise. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware circuits or integrated circuits or in different networks and/or processor means and/or micro-indicator means.

In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically connected, electrically connected or can be communicated with each other; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.

The invention will be further described in detail with reference to the drawings and detailed description below in order to make the objects, features and advantages of the invention more comprehensible.

In view of the technical problems mentioned in the background art, the present invention aims to weaken the dependence between groups of data after grouping, thereby solving the problem of low system processing efficiency after parallel processing of the grouping, and meeting the low delay requirement of data transmission.

Before explaining the embodiment of the present invention, an application scenario of the embodiment of the present invention is explained. The communication system in this embodiment may be an LTE system, or may be a 5G system, where the 5G system is also called a New Radio (NR) system, or may be a next generation mobile communication technology system of 5G, which is not limited in this embodiment of the present invention.

Alternatively, the communication system is adaptable to different network architectures including, but not limited to, a relay network architecture, a dual connectivity architecture, a V2X architecture, etc. The wireless communication system includes: access network equipment and terminal equipment.

The access network device may be a Base Station (BS), which may also be referred to as a base station device, and is a device deployed in a radio access network (Radio Access Network, RAN) to provide a wireless communication function. For example, the device for providing a base station function in the 2G network includes a base radio transceiver station (base transceiver station, BTS), the device for providing a base station function in the 3G network includes a node B (english: nodeB), the device for providing a base station function in the 4G network includes an evolved NodeB (eNB), the device for providing a base station function in the wireless local area network (wireless local area networks, WLAN) is an Access Point (AP), the device for providing a base station function in the 5G system is a gNB, and the device for providing a base station function in the future new communication system is a continuously evolved NodeB (english: ng-eNB), and the access network device in the embodiment of the present invention further includes a device for providing a base station function in the future new communication system, and the specific implementation of the access network device is not limited. The access network device may also include Home base stations (henbs), relays (Relay), pico base stations Pico, etc.

The access network device and the terminal device establish wireless connection through a wireless air interface. Optionally, the wireless air interface is a 5G standard based wireless air interface, such as the wireless air interface is NR; or, the wireless air interface can also be a wireless air interface based on the technical standard of the next generation mobile communication network of 5G; alternatively, the wireless air interface may be a wireless air interface based on the 4G standard (LTE system). The access network device may receive, through a wireless connection, uplink data sent by the terminal device.

A terminal device may refer to a device in data communication with an access network device. The terminal device may communicate with one or more core networks via a radio access network. The terminal device may be various forms of terminal device (UE), access terminal device, subscriber unit, subscriber station, mobile Station (MS), remote station, remote terminal device, mobile device, terminal device (english: terminal equipment), wireless communication device, user agent, or user equipment. The terminal device may also be a cellular phone, a cordless phone, a session initiation protocol (Session Initiation Protocol, SIP) phone, a wireless local loop (Wireless Local Loop, WLL) station, a personal digital assistant (Personal Digital Assistant, PDA), a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, a car-mounted device, a wearable device, a terminal device in a future 5G network or a terminal device in a future evolved public land mobile network (Public Land Mobile Network, PLMN), etc., which is not limited by this embodiment. The terminal equipment can receive downlink data sent by the access network equipment through wireless connection with the access network equipment.

It should be noted that, in the embodiment of the present invention, the receiving end is an access network device or a terminal device. The embodiment of the present invention is not limited thereto.

Fig. 3 is a flow chart illustrating a data processing method at a receiving end of a wireless communication system according to an embodiment of the present invention. Fig. 4 is a schematic diagram illustrating a flow of data processing at a receiving end of a wireless communication system according to an embodiment of the present invention compared with a flow of data processing in the prior art. Fig. 5 is a schematic flow chart of data processing at a receiving end of a wireless communication system according to an embodiment of the present invention.

Referring to fig. 3, 4 and 5, an embodiment of the present invention provides a data processing method for a receiving end of a wireless communication system, where the method includes the following steps:

step S10, obtaining a data stream to be received according to a signal transmission configuration, wherein the signal transmission configuration comprises the number of antennas, the number of time domain OFDM symbols and the number of frequency domain subcarriers;

step S20, dividing the data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy based on subcarriers as the dimensions of the grouping, and determining the actual subcarrier number in each subcarrier group of the current grouping; and

Step S30, for each subcarrier group of the current packet, performing a first channel estimation process on subcarriers in the subcarrier group to obtain a first channel estimation matrix corresponding to a reference signal in the subcarrier group, and then performing a time offset estimation process, a frequency offset estimation process, and a channel estimation interpolation process according to the first channel estimation matrix and subcarriers in the subcarrier group to obtain a channel estimation result corresponding to a data signal in the subcarrier group.

Steps S10 to S30 will be specifically described below.

In step S10, the signal transmission configuration includes, for example, the number of antennas, the number of time domain ODFM symbols, and the number of frequency domain subcarriers, so that, in the data processing at the receiving end of the wireless communication system, the data stream to be processed is a multidimensional data set composed of a plurality of subcarriers, one or more antennas, and one or more symbols. Optionally, in some other embodiments, the signaling arrangement further comprises one or more layers, for example transmitting the data stream using a spatial multiplexing technique.

In step S20, based on the sub-carriers as the dimensions of the packet, dividing the data stream to be received into a plurality of sub-carrier groups according to a preset grouping strategy, and determining the actual number of sub-carriers in each sub-carrier group of the current packet; that is, it means that all antennas, all layers, and all symbols where these subcarriers are located are contained in the same packet. For example, 100 subcarriers in a data stream to be received are divided into 10 subcarrier groups based on the subcarriers as a dimension of the packet, each subcarrier group including 10 subcarriers, meaning all antennas, all layers, and all symbols corresponding to the 10 subcarriers within the packet.

In step S30, for each of the subcarrier groups of the current packet, a first channel estimation process is performed on subcarriers in the subcarrier group to obtain a first channel estimation matrix corresponding to a reference signal in the subcarrier group, and then a time offset estimation process, a frequency offset estimation process, and a channel estimation interpolation process are performed according to the first channel estimation matrix and the subcarriers in the subcarrier group to obtain a channel estimation result corresponding to a data signal in the subcarrier group.

In order to ensure good communication quality, channel estimation is generally required in the communication process, and a receiving end of the wireless communication system generally adopts a channel estimation "matrix association" to perform channel estimation on the detected pilot signal and a known local reference signal, so as to obtain an LS (least square) channel estimation value corresponding to the reference signal. However, in a practical application scenario, a situation may occur in which the reference signal and the data signal are located on different symbols, and a situation may also occur in which the reference signal and the data signal are located on different subcarriers of the same symbol. In view of that only the subcarriers of the reference signal are used, but no other subcarriers are used when the first channel estimation process is performed, in practical application, the subcarriers of the reference signal in the subcarrier group need to be demodulated or extracted to obtain the first channel estimation matrix corresponding to the reference signal in the subcarrier group. For example, the reference signal may be demodulated or extracted based on a subcarrier spacing between the reference signal and the data signal.

Specifically, in the packet parallel processing mode after the improvement of the embodiment of the invention, the data stream to be received is divided into a plurality of subcarrier groups according to a preset grouping strategy based on the subcarrier as the dimension of the packet, and the first channel estimation processing, the time offset estimation processing, the frequency offset estimation processing and the channel estimation interpolation processing are simultaneously executed on the subcarriers in each subcarrier group of the current packet in a parallel mode.

Compared with the serial data processing flow of the receiving end in the common technology or the mode of directly transplanting the serial data processing flow to the parallel data processing flow, the technical scheme provided by the embodiment of the invention obtains the data flow to be received according to the signal transmission configuration, divides the data flow to be received into a plurality of subcarrier groups according to the preset grouping strategy based on the dimension of the subcarriers as the grouping, determines the actual subcarrier number in each subcarrier group of the current grouping, then executes the corresponding data processing flow on the subcarriers in the subcarrier group for each subcarrier group, can weaken the dependence among data of each group after grouping, realizes the parallel processing of the data grouping of the receiving end of the wireless communication system, and improves the operation efficiency of the system.

The dividing the data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy based on the subcarriers as the grouping dimension comprises: determining the group number of the current grouping based on parameters such as the number of receiving antennas, the total subcarrier number, whether the receiving antennas are first transmission, a time offset value of a historical record, a frequency offset value of the historical record and the like; and dividing the data stream to be received into a plurality of subcarrier groups according to the group number of the current group, and determining the actual subcarrier number in each subcarrier group of the current group.

Illustratively, as shown in fig. 6, the method for determining the number of groups of the current packet based on the number of receiving antennas, the total number of subcarriers, whether the first transmission is performed, the time offset value of the history record, and the frequency offset value of the history record includes:

step 1, setting the maximum subcarrier number in each subcarrier group in the first transmission condition as follows: n_sc_max_grp_1;

setting the maximum subcarrier number in each subcarrier group in the non-first transmission condition as follows: n_sc_max_grp;

Setting an initial value of the number of subcarriers in each subcarrier group as follows: n_sc_init;

the initial antenna number is set as follows: n_ant_init;

the maximum grouping group number is set as follows: n_grp_max;

step 2, judging whether the first transmission situation exists or not:

1) If the first transmission situation exists, judging whether the current total subcarrier number n_sc_total is larger than the maximum subcarrier number n_sc_max_grp_1 in each subcarrier group in the first transmission situation;

a. if yes, setting the number of subcarriers n_sc_grp=n_sc_max_grp_1 in each subcarrier group, and then jumping to step 3;

b. if not, setting the number of subcarriers n_sc_grp=n_sc_total in each subcarrier group, and then jumping to the step 3;

2) If the transmission condition is not the first transmission condition, judging whether the current total subcarrier number n_sc_total is larger than the maximum subcarrier number n_sc_max_grp in each subcarrier group under the non-first transmission condition;

a. if yes, setting a subcarrier number n_sc_grp=n_sc_int in each subcarrier group, adjusting the subcarrier number in each subcarrier group according to the estimated time offset value, the estimated frequency offset value and the actual antenna number in sequence, and then jumping to the step 3;

And step 3, calculating the group number of the current group.

As for the initialization setting value of the parameter, there are the following:

1. since the time offset value and the frequency offset value of the history record can be referred to in the first transmission case, in order to avoid the difficulty of estimating the time offset value and the frequency offset value after grouping, more consideration is required to ensure the error rate performance, and in general, the maximum subcarrier number in each subcarrier group in the non-first transmission case is set to be less than or equal to the maximum subcarrier number in each subcarrier group in the first transmission case, that is, n_sc_max_grp is less than or equal to n_sc_max_grp_1.

2. The initial value n_sc_init of the number of subcarriers in each subcarrier group set by initialization is adjusted according to actual needs, and finally the number of subcarriers in each subcarrier group is corrected based on the initial value.

3. Regarding the number of antennas initially set, the number of subcarriers in each subcarrier group of the group is then adjusted according to the actual number of antennas and the relationship between them.

It should be understood that the above-mentioned setting values of the initialization parameters may be adjusted by a high-level scheduling policy, and the system may be adjusted by the core number, the measured performance, and other factors. For example, if the number of cores available to the system is relatively small, the number of subcarriers within each subcarrier group is correspondingly increased to reduce the number of grouping groups; and vice versa.

After the initialization setting of the parameters is completed, it is then determined whether the first transmission situation is present. For the first transmission, when the total number of subcarriers n_sc_total is less than or equal to the threshold, no more grouping is needed, which is equivalent to that all subcarriers are in the same grouping. Because the processing time is relatively short when the total number of subcarriers is small even if packet parallelization is not performed. Since no time offset estimate, frequency offset estimate, can be referenced for improved performance, fewer packets will tend to be used than would be the case for the non-first transmission. The threshold n_sc_max_grp_1 here needs to be determined in combination with factors in both operational efficiency and bit error rate performance.

For the case of non-first transmissions, there is similar logic and no further grouping is required when the total number of sub-carriers n_sc_total is less than or equal to the threshold.

For the case of grouping, the grouping is firstly corrected according TO the time offset value of the history record, and the specific method is TO multiply the subcarrier number of the grouping by an amplification factor TO_scale, wherein TO_scale is a real number larger than or equal TO 1.0, and the larger the time offset value of the history record is, the larger TO_scale is, and the more subcarriers are in each subcarrier group. Because the time offset value generally does not change rapidly, if the history value is larger, the current actual time offset value is larger, and in the scene of large time offset, the accuracy of time offset estimation has a larger influence on the bit error rate performance, so that the number of subcarriers in each packet needs to be increased, thereby increasing the number of samples, and further ensuring the bit error rate performance.

Similarly, the correction is performed according to the frequency offset value of the history record, and the specific method is to multiply the subcarrier number of the packet by an amplification factor FO_scale, which is a real number greater than or equal to 1.0, and the greater the frequency offset value of the history record, the greater the FO_scale.

After the time offset and the frequency offset are compensated, the number of the antennas is compensated. The more the number of antennas, the more data is correspondingly contained in one subcarrier, the more samples are used for time offset and frequency offset estimation, and the smaller the number of subcarriers of the packet can be.

After the above operation is completed, the total subcarrier number n_sc_total is divided by the subcarrier number n_sc_grp in each subcarrier group and rounded up, and then the final current group number n_grp can be obtained by comparing with the maximum group number n_grp_max to take a smaller value.

Wherein the number of groups of the current packet is calculated according to the following formula:

n_grp=min(ceil(n_sc_total/n_sc_grp) , n_grp_max)；

where n_grp represents the number of groups of the current packet, n_sc_total represents the total number of subcarriers, n_sc_grp represents the number of subcarriers within each subcarrier group, n_grp_max represents the number of groups of the maximum packet, ceil () is an upward rounding function.

The method for dividing the data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy based on the dimension of subcarriers as grouping, and determining the actual subcarrier number in each subcarrier group of the current grouping comprises the following steps: defining the current total subcarrier number in the system as n_sc_total, and dividing the current n_sc_total continuous subcarriers into a plurality of first subcarrier groups in sequence according to the group number of the current groups based on a first preset rule, wherein the plurality of first subcarrier groups form a first subcarrier group set; for each first subcarrier group in the first subcarrier group set, determining an actual number of subcarriers within each first subcarrier group.

Specifically, after the number n_grp of the current grouping group is determined, n_sc_total continuous subcarriers are put into n_grp groups as evenly as possible, so as to obtain n_grp first subcarrier group sets G1 (G), wherein G represents the G-th group, namely the index of the group in the first subcarrier group set, and the value range of G is [0, n_grp-1].

For the case where n_sc_grp_avg=n_sc_total/n_grp is an integer, it is only necessary to divide each n_sc_grp_avg consecutive subcarriers into a group in order, specifically, G (0) contains the previous n_sc_grp_avg subcarrier, G (1) contains the next n_sc_grp_avg subcarrier, and so on.

For the case where _sc_grp_avg=n_sc_total/n_grp is not an integer, there are more groups of sub-carriers, there are fewer groups of sub-carriers, and there are no requirements as to which groups are more groups of sub-carriers, which groups are less groups of sub-carriers, and more/less sub-carriers.

Table 1 is illustrated with 10 subcarriers divided into 3 groups.

As can be seen from table 1, the subcarriers included in each of G1 (0), G1 (1), …, and G (n_grp-1) are non-overlapping, and the number of their respective subcarriers is equal to the total number of subcarriers n_sc_total. However, in some cases, adding some subcarrier overlap between packets provides some benefits, even if this increases the overall computational effort. For example, in the case of the first channel estimation, if MSE filtering is used, the subcarrier estimation accuracy of each packet edge may be degraded; if the sub-carriers of adjacent groups are also included in the grouping, the estimation accuracy of the sub-carriers originally at the edge can be improved; for example, when the grouping carries out time offset estimation and frequency offset estimation, partial subcarriers of adjacent groups are also added into operation, so that larger sample size can be obtained, and estimation accuracy is improved; also, the factors in algorithm characteristics, for example, if the second channel estimation uses time domain filtering, DFT (discrete fourier transform) transformation is needed to be performed on the channel estimation in the packet, if some adjacent sub-carriers can be added, the number of carriers is increased by power of 2, and then IFFT (Inverse Fast Fourier Transform ) transformation with higher operation efficiency can be used; in addition, for some GPU platforms, the hardware will only run in parallel using multiples of 32 threads, if the number of grouped subcarriers is equal to 48, then there will be 64 threads running together, only 16 of which will not output results. The processing time does not increase even if the number of subcarriers in the group is increased to 64.

Fig. 7 is a schematic diagram illustrating a process of obtaining a second subcarrier group set based on the first subcarrier group set according to a second preset rule according to still another embodiment of the present invention. Fig. 8 shows a specific exemplary schematic diagram of deriving a plurality of second subcarrier group sets on the basis of the first subcarrier group set in fig. 7.

Further, in order to improve the estimation accuracy of each subcarrier group after grouping, as shown in fig. 7, the method for dividing the data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy based on the dimension of the subcarriers as the grouping, and determining the actual subcarrier number in each subcarrier group of the current grouping further includes: based on a second preset rule, on the basis of the first subcarrier group set, adding one or more subcarriers from adjacent groups to the tail and the head of two adjacent first subcarrier groups respectively to obtain a plurality of second subcarrier groups, wherein the second subcarrier groups form a second subcarrier group set; for each second subcarrier group in the second subcarrier group, determining an actual number of subcarriers within each second subcarrier group.

Specifically, on the basis of the first subcarrier group set G1, subcarriers from adjacent groups are added end to obtain a second subcarrier group set G2 with overlapping subcarriers, wherein G1 (G) represents a G1 th group, and G2 (G) represents a G2 th group, wherein g= [0, n_grp-1]; l_head (G) represents the number of subcarriers at the beginning of G2 (G) and repeated with G1 (G-1), and L_tail (G) represents the number of subcarriers at the end of G2 (G) and repeated with G1 (g+1). The arrangement of L_head (g) and L_tail (g) is various. For example, the overlapping length of each subcarrier group may be fixed such that all l_head (g) and l_tail (g) are equal to a certain constant; for example, the number of subcarriers of the second subcarrier group set G2 (G) may be equal to a fixed length, such as 32, 64, or the like.

In addition, the second subcarrier group set (G2 group) may be identical to the first subcarrier group set (G1 group), that is, there are no overlapping subcarriers between the groups.

Illustratively, as shown in fig. 8, if the total number of subcarriers is 100 and the number of groups of the current packet is 4, each first subcarrier group G1 (G) in the first subcarrier group contains 25 subcarriers, and each second subcarrier group G2 (G) in the second subcarrier group contains 32 subcarriers, where g= [0,3].

In general, for packet processing, either a first subcarrier group set (G1 packet) or a second subcarrier group set (G2 packet) may be used.

For convenience of subsequent discussion, the actual subcarrier number of the g-th packet after the calculation is denoted as n_sc_grp (g), wherein the value range of g is [0, n_grp-1], and n_grp represents the group number of the current packet.

Further, performing the first channel estimation process for each subcarrier group of the current packet includes: in general, a relatively simple channel estimation algorithm, such as LS (least squares) estimation, MSE filtering, etc., is performed, and the embodiment of the present invention does not limit the selection of a specific algorithm for the first channel estimation, nor improve the selection.

For each of the subcarrier groups of the current packet, the first channel estimation matrix is represented by:

H1=(h1Idx, rxAntdx, layerIdx, symIdx)；

wherein H1 represents a first channel estimation matrix, H1Idx represents a subcarrier index of a reference signal in a current packet, a value range of H1Idx is [0, H1Num-1], wherein H1 num=n_sc_grp (g)/n, n_sc_grp (g) represents an actual subcarrier number in a g-th subcarrier group based on the current packet, a value range of g is [0, n_grp-1], n_grp represents a group number of the current packet, and n represents a subcarrier sequence interval of the reference signal in the current packet; for example, n=1, 2,3,4, ….

rxAntdx represents the index of the receiving antenna, the value range of rxAntdx [0, rxAntNum-1], wherein rxAntNum represents the number of the receiving antennas; for example, rxantnum=2≡m, m=0, 1,2,3,4 ….

layerIdx represents an index of a transmitted parallel data stream (a plurality of data streams are transmitted in parallel on the same time and frequency domain by adopting a space division multiplexing technology), and the value range of layerIdx is [0, layerNum-1], wherein layerNum represents the number of the parallel data streams; possible values are 1,2,3,4,5,6,7,8, etc.

symIdx represents the symbol index of the reference signal, and the value range of symIdx is [0, symnu-1 ], wherein symnu represents the symbol number of the reference signal; possible values are 1,2,3,4, … ….

Further, for each subcarrier group of the current packet, the following time offset estimation process is performed according to the first channel estimation matrix and subcarriers in the subcarrier group:

(1) Respectively calculating the phase difference between two subcarriers with equal sequence intervals;

(2) Accumulating the phase differences between the two subcarriers of all the equal sequence intervals, then averaging, and obtaining the corresponding instantaneous estimated time offset value;

(3) And carrying out joint calculation on the instantaneous estimated time offset value and the time offset value of the historical record to obtain a time offset estimated value for time offset compensation corresponding to the subcarrier group.

Specifically, according to the first channel estimation matrix and the subcarriers in the subcarrier group, the phase difference is calculated first, and all the phase differences are averaged:

the phase difference for each of the subcarrier groups of the current packet is represented by:

h_t_diff (htIdx, rxAntIdx, layerIdx, symIdx) =h1 (htidx+t_gap, rxAntIdx, layerIdx, symIdx) x conj (H1 (htIdx, rxAntIdx, layerIdx, symIdx), wherein h_t_diff () represents a phase difference matrix, t_gap represents a sequence interval of subcarriers, the general values are 1,2,3,4, etc., the htIdx value range is [0, H1Num-t_gap-1], and H1Num represents the number of reference signal subcarriers in the current packet.

All H_t_diff () are accumulated and averaged to get H_t_diff_instance=sum (H_t_diff)/(H1-t_gap)/rxAntNum/layerNum/symNum/t_gap, where sum () is summed for all elements. H_t_diff_instance is the instantaneous estimated time offset value of the current packet.

In order to solve the problem of system error rate rise caused by time offset estimation accuracy decline due to the fact that the number of samples processed in each group after grouping is reduced, the embodiment of the invention adopts instantaneous estimated time offset value H_t_diff_instance and historical time offset value H_t_diff_history to carry out combined calculation so as to obtain the time offset value H_t_diff_comp of the current grouping for time offset compensation. Among these, there are many algorithms possible for joint calculation, and it is critical to use the combination of both the historic time offset value h_t_diff_history and the instantaneous estimated time offset value h_t_diff_instance to enhance the accuracy of the time offset value h_t_diff_comp for time offset compensation. For example:

(1) The fixed weight combining method comprises the following steps: h_t_diff_comp=alpha h_t_diff_instance+ (1-alpha) h_t_diff_history. Wherein alpha is a real number with a value range of [0,1 ].

(2) Forgetting average merging method: h_t_diff_comp=alpha h_t_diff_instance+ (1-alpha) h_t_diff_history. Where alpha=1/(k+1), k is the number of h_t_diff_history updates, e.g. k=0 since no history value is transmitted for the first time, k=1 after one history value update, and 2 after two updates. In addition, a maximum value k_max may be set for k, and k is not changed when it is added to k_max.

As shown in fig. 9, the following is exemplified with the sequence interval t_gap=1 of subcarriers:

for each subcarrier group of the current grouping, firstly, sequentially calculating phase differences for two adjacent subcarriers in the current grouping, for example, each subcarrier group in the current grouping has 10 subcarriers, respectively calculating phase differences between two subcarriers with equal sequence intervals, namely, sequentially calculating phase differences between the 1 st subcarrier and the 2 nd subcarrier, and phase differences … … between the 2 nd subcarrier and the 3 rd subcarrier, and phase differences between the 9 th subcarrier and the 10 th subcarrier, and totally having 9 phase differences; then, accumulating all 9 obtained phase differences and then averaging to obtain the instantaneous estimated time offset value of the current group; and then, carrying out joint calculation on the instantaneous estimated time offset value corresponding to the subcarrier group and the time offset value of the historical record to obtain the time offset value H_t_diff_comp of the current group for time offset compensation.

Further, after performing the time offset estimation process according to the first channel estimation matrix and the subcarriers in the subcarrier group, and before performing the frequency offset estimation process, the method further includes: and executing second channel estimation processing to acquire a second channel estimation matrix corresponding to the subcarrier group.

The second channel estimation process is generally a more accurate channel estimation process than the first channel estimation process, and there are various ways, such as frequency domain window combining, time domain filtering, etc., and the second channel estimation process may not be performed. Most of the second channel estimation processing methods use the time offset value h_t_diff_comp of the current packet for time offset compensation to perform time offset estimation to improve the accuracy of the second channel estimation. The invention does not limit the specific algorithm selection of the second channel estimation processing and does not improve the second channel estimation processing.

For each of the subcarrier groups of the current packet, the second channel estimation matrix is represented by:

H2=(h2Idx, rxAntdx, layerIdx, symIdx)；

wherein H2 represents a second channel estimation matrix, h2Idx represents an index of a frequency domain, the value range of H2Idx is [0, H2Num-1], wherein h2num=n_sc_total/x, n_sc_total represents the current total subcarrier number in the system, and x represents the sequence interval of subcarriers; for example, x=1, 2,3,4, ….

layerIdx represents an index of a transmitted parallel data stream (a plurality of data streams are transmitted in parallel by adopting a space division multiplexing technology on the same time and frequency domain), and the value range of layerIdx is [0, layerNum-1], wherein layerNum represents the number of the parallel data streams; possible values are 1,2,3,4,5,6,7,8, etc.

For each subcarrier group of the current grouping, performing the following frequency offset estimation processing according to the second channel estimation matrix and subcarriers in the subcarrier group:

(1) Respectively calculating the phase difference between two adjacent symbols;

(2) Accumulating the phase differences between all the adjacent two symbols, then averaging, and obtaining a corresponding instantaneous estimated frequency offset value;

(3) And carrying out joint calculation on the instantaneous estimated frequency offset value and the frequency offset value recorded in history to obtain a corresponding frequency offset estimated value for subcarrier frequency offset compensation in the subcarrier group.

It should be noted that, the method of frequency offset estimation is generally similar to that of time offset estimation, and the biggest difference is that the frequency offset estimation calculates the phase difference between symbols, and the time offset estimation calculates the phase difference between subcarriers.

In some embodiments, the frequency offset estimation calculates the phase difference between the symbols according to the second channel estimation matrix, then obtains the instantaneous frequency offset after averaging, and finally performs joint processing on the instantaneous frequency offset and the frequency offset value recorded in history.

Since the phase difference between symbols is obtained, the frequency offset estimation value needs to be calculated only when there are 2 or more symbols (numSym > =2) in the slot.

Specifically, for each subcarrier group of the current packet, the following frequency offset estimation process is executed according to the second channel estimation matrix and subcarriers in the subcarrier group, and the specific calculation method is as follows:

h_f_diff (h2idx, rxAntIdx, layerIdx, symFIdx) =h2 (h2idx, rxAntIdx, layerIdx, symfidx+1) ×conj (H2 (h2idx, rxAntIdx, layerIdx, symFIdx), wherein the value range of symFIdx is [0, numsym-2]; if no second channel estimation is performed or frequency offset estimation is performed before the second channel estimation, then here H2Idx is replaced with H1Idx, at this time, for each of said subcarrier groups of the current packet, then frequency offset estimation processing is performed according to said first channel estimation matrix and subcarriers within that subcarrier group).

(1) Respectively calculating the phase difference between two adjacent symbols;

(3) And carrying out joint calculation on the instantaneously estimated frequency offset value and the frequency offset value recorded in the history record to obtain a frequency offset estimated value for frequency offset compensation corresponding to the subcarrier group.

All H_f_diff () are accumulated and averaged to get H_f_diff_instance=sum (H_t_diff)/H2 Num/rxAntNum/layerNum/(symNum-1), where sum () is the sum of all elements. H_f_diff_instance is the instantaneous estimated frequency offset value of the current packet.

In order to solve the problem of system error rate rise caused by the decrease of frequency offset estimation accuracy due to the decrease of the sample amount processed in each group after grouping, the embodiment of the invention adopts the instantaneous estimated frequency offset value H_f_diff_instance and the historical recorded frequency offset value H_f_diff_history to carry out joint calculation to obtain the frequency offset value H_f_diff_comp of the current group for frequency offset compensation. Similar to time offset estimation, where joint computation may have a variety of algorithms, it is critical to use a combination of both historic frequency offset values H_f_diff_history and instantaneous estimated frequency offset values H_f_diff_instance to enhance the accuracy of the time offset values H_f_diff_comp for frequency offset compensation. For example:

(1) The fixed weight combining method comprises the following steps: h_f_diff_comp=alpha h_f_diff_instance+ (1-alpha) h_f_diff_history. Where alpha is a real number with a value range of 0, 1.

(2) Forgetting average merging method: h_f_diff_comp=alpha h_f_diff_instance+ (1-alpha) h_f_diff_history. Where alpha=1/(k+1), k is the number of h_f_diff_history updates, e.g. the first transmission has no history value so k=0, k=1 after one history value update, and 2 after two updates. In addition, a maximum value k_max may be set for k, and k is not changed when it is added to k_max.

In addition, in the embodiment of the present invention, the frequency offset estimation module may be placed before the time offset estimation module, or between the time offset estimation module and the second channel estimation module, besides being placed after the second channel estimation module. That is, the frequency offset estimation process may be either before the time offset estimation process or between the time offset estimation process and the second channel estimation process. There is no limitation in this regard.

Further, in some embodiments, the time offset estimated values corresponding to all the current subcarrier groups are collected and averaged after being accumulated to be used as the time offset value of the new history record, and the time offset value of the history record is updated.

In particular the number of the elements,

h_t_diff_history = average of h_t_diff_comp for all packets.

In some embodiments, the frequency offset estimated values corresponding to all the current subcarrier groups are collected and averaged after being accumulated to be used as the frequency offset value of a new history record, and the frequency offset value of the history record is updated.

In particular the number of the elements,

h_f_diff_history = average of h_f_diff_comp for all packets.

Further, as shown in fig. 10, the method further includes: and under the condition that the received data stream is divided into a plurality of second subcarrier groups according to a preset grouping strategy, for each second subcarrier group, removing one or more subcarriers added by the second subcarrier group on the basis of the original first subcarrier group after the frequency offset estimation processing is executed and before the decoding processing is executed, so that the total sample size of the subcarriers to be processed is restored to the original total subcarrier number in the system before the decoding processing is executed.

According to still another aspect of the present invention, an embodiment of the present invention provides a data processing apparatus at a receiving end of a wireless communication system.

As shown in fig. 11, the data processing apparatus 200 applied to a receiving end of a wireless communication system includes: an obtaining module 210, configured to obtain a data stream to be received according to a signal transmission configuration, where the signal transmission configuration includes the number of antennas, the number of time domain OFDM symbols, and the number of frequency domain subcarriers; the dividing module 220 divides the data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy based on the subcarriers as the dimensions of the grouping, and determines the actual subcarrier number in each subcarrier group of the current grouping; and a processing module 230, configured to perform, for each of the subcarrier groups of the current packet, a first channel estimation process on subcarriers in the subcarrier group, and output a first channel estimation matrix corresponding to reference signals in the subcarrier group, and then perform, according to the first channel estimation matrix and subcarriers in the subcarrier group, a time offset estimation process, a frequency offset estimation process, and a channel estimation interpolation process, to obtain a channel estimation result corresponding to data signals in the subcarrier group.

Illustratively, in the embodiment of the present invention, the processing module 230 is further configured to divide the data stream to be received into a plurality of subcarrier groups according to a preset grouping policy based on the subcarriers as the dimensions of the grouping, and perform, in parallel, a first channel estimation process, a time offset estimation process, a frequency offset estimation process, and a channel estimation interpolation process on subcarriers in each of the subcarrier groups of the current grouping at the same time.

Illustratively, the dividing module 220 is further configured to determine the number of groups of the current packet based on the number of receiving antennas, the total number of subcarriers, whether the first transmission is performed, a time offset value of the history record, and a frequency offset value of the history record; and dividing the data stream to be received into a plurality of subcarrier groups according to the group number of the current packet, and determining the actual subcarrier number in each subcarrier group of the current packet.

Specifically, in the dividing module 220, the method for determining the number of groups of the current packet based on the number of receiving antennas, the total number of subcarriers, whether the number of receiving antennas is the first transmission, the time offset value of the history record, and the frequency offset value of the history record includes:

the initial antenna number is set as follows: n_ant_init;

the maximum grouping group number is set as follows: n_grp_max;

step 2, judging whether the first transmission situation exists or not:

and step 3, calculating the group number of the current group.

n_grp=min(ceil(n_sc_total/n_sc_grp) , n_grp_max)；

where n_grp represents the number of groups of the current packet, n_sc_total represents the total number of subcarriers, n_sc_grp represents the number of subcarriers within each subcarrier group, and n_grp_max represents the number of groups of the maximum packet.

The dividing module 220 is further configured to define a current total number of subcarriers in the system as n_sc_total, and divide the current number of subcarriers in n_sc_total into a plurality of first subcarrier groups according to a group number of current packets based on a first preset rule, where the plurality of first subcarrier groups form a first subcarrier group set; for each first subcarrier group in the first subcarrier group set, determining an actual number of subcarriers within each first subcarrier group.

Further, in order to improve the estimation accuracy of each subcarrier group after grouping, as shown in fig. 7, the dividing module 220 is further configured to, based on the first subcarrier group set, add one or more subcarriers from the adjacent group to each of the tail and the head of two adjacent first subcarrier groups on the basis of a second preset rule, so as to obtain a plurality of second subcarrier groups, where the plurality of second subcarrier groups form a second subcarrier group set; for each second subcarrier group in the second subcarrier group, determining an actual number of subcarriers within each second subcarrier group.

Further, the processing module is further configured to perform a first channel estimation process for each subcarrier group of the current packet: in general, a relatively simple channel estimation algorithm, such as LS (least squares) estimation, MSE filtering, etc., is performed, and the embodiment of the present invention does not limit the selection of a specific algorithm for the first channel estimation, nor improve the selection.

Specifically, for each of the subcarrier groups of the current packet, the first channel estimation matrix is represented by:

H1=(h1Idx, rxAntdx, layerIdx, symIdx)；

wherein H1 represents a first channel estimation matrix, H1Idx represents a subcarrier index of a reference signal in a current packet, a value range of H1Idx is [0, H1Num-1], wherein H1 num=n_sc_grp (g)/n, n_sc_grp (g) represents an actual subcarrier number in a g-th subcarrier group based on the current packet, a value range of g is [0, n_grp-1], n_grp represents a group number of the current packet, and n represents a sequence interval of subcarriers of the reference signal in the current packet; for example, n=1, 2,3,4, ….

Further, the processing module 230 is further configured to perform, for each of the subcarrier groups of the current packet, the following time offset estimation processing according to the first channel estimation matrix and subcarriers in the subcarrier group:

for each of the subcarrier groups of the current packet, the phase difference is represented by:

Further, the processing module is further configured to perform a second channel estimation process after performing the time offset estimation process according to the first channel estimation matrix and the subcarriers in the subcarrier group, and before performing the frequency offset estimation process, so as to obtain a second channel estimation matrix corresponding to the subcarrier group.

Specifically, for each of the subcarrier groups of the current packet, the second channel estimation matrix is represented by:

H2=(h2Idx, rxAntdx, layerIdx, symIdx)；

The processing module 230 is further configured to perform, for each of the subcarrier groups of the current packet, the following frequency offset estimation processing according to the second channel estimation matrix and subcarriers in the subcarrier group:

(1) Respectively calculating the phase difference between two adjacent symbols;

h_f_diff (h2idx, rxAntIdx, layerIdx, symFIdx) =h2 (h2idx, rxAntIdx, layerIdx, symfidx+1) conj (H2 (h2idx, rxAntIdx, layerIdx, symFIdx), wherein the value range of symFIdx is [0, numsym-2]; if no second channel estimation is performed or frequency offset estimation is performed before the second channel estimation, here H2Idx is replaced by H1Idx, at which time, for each of said subcarrier groups of the current packet, said processing module 230 is further configured to perform a frequency offset estimation process according to said first channel estimation matrix and subcarriers within said subcarrier group:

(1) Respectively calculating the phase difference between two adjacent symbols;

Further, in some embodiments, the processing module 230 is further configured to collect time offset estimated values corresponding to all current subcarrier groups, accumulate the time offset estimated values, and average the accumulated time offset estimated values to be used as a time offset value of a new history record, and update the time offset value of the history record.

Further, in some embodiments, the processing module 230 is further configured to collect frequency offset estimation values corresponding to all subcarrier groups of the current packet, accumulate the frequency offset estimation values, and average the accumulated frequency offset estimation values to be used as a new frequency offset value of the history record, and update the frequency offset value of the history record.

The data processing device of the receiving end of the wireless communication system provided by the embodiment of the invention can realize the following steps:

the dependence among the groups of data after grouping is weakened, and the parallel processing of the data grouping of the receiving end of the wireless communication system is realized, so that the operation efficiency of the system is improved, and the low-delay requirement of data transmission is met.

Further, in some embodiments, the time offset value used for time offset compensation by the current packet is obtained by performing joint calculation by using the time offset value estimated instantaneously and the time offset value recorded in the history, so that the problem of system error rate increase caused by reduced accuracy of time offset estimation due to reduced sample size processed in each group after the packet can be overcome.

Further, in some embodiments, the frequency offset value used for frequency offset compensation in the current packet is obtained by performing joint calculation by using the instantaneously estimated frequency offset value and the frequency offset value recorded in the history record, so that the problem of system error rate increase caused by reduced accuracy of frequency offset estimation due to reduced sample size processed in each group after the current packet can be solved.

It should be appreciated that other aspects and effects in the data processing apparatus of the receiving end of the wireless communication system may be referred to the content in the foregoing data processing method of the receiving end of the wireless communication system, which is not described herein.

In another embodiment, a computer readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements a data processing method of a receiving end of a wireless communication system as in any of the previous embodiments.

The specific limitation and implementation of the above steps may refer to an embodiment of a data processing method at a receiving end of a wireless communication system, which is not described herein.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.

The foregoing describes in detail the data processing method, apparatus and storage medium of the receiving end of the wireless communication system provided by the embodiments of the present invention, and specific examples are applied to illustrate the principles and embodiments of the present invention, where the foregoing description of the embodiments is only for helping to understand the technical solution and core idea of the present invention; those of ordinary skill in the art will appreciate that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims

1. A method for processing data at a receiving end of a wireless communication system, the method comprising:

dividing the data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy based on the subcarrier as the dimension of the grouping, and determining the actual subcarrier number in each subcarrier group of the current grouping, wherein the preset grouping strategy comprises determining the group number of the current grouping based on the number of receiving antennas, the total subcarrier number, whether the current grouping strategy is the first transmission, the time offset value of the history record and the frequency offset value of the history record; dividing the data stream to be received into a plurality of subcarrier groups according to the group number of the current group, and determining the actual subcarrier number in each subcarrier group of the current group; and

For each subcarrier group of the current grouping, performing first channel estimation processing on subcarriers in the subcarrier group to acquire a first channel estimation matrix corresponding to a reference signal in the subcarrier group, and then performing time offset estimation processing, frequency offset estimation processing and channel estimation interpolation processing according to the first channel estimation matrix and subcarriers in the subcarrier group to acquire a channel estimation result corresponding to a data signal in the subcarrier group;

a first channel estimation process, a time offset estimation process, a frequency offset estimation process, and a channel estimation interpolation process are simultaneously performed in parallel on subcarriers within each of the subcarrier groups of the current packet.

2. The data processing method of the receiving end of the wireless communication system as claimed in claim 1, wherein the method for determining the number of groups of the current packet based on the number of receiving antennas, the total number of subcarriers, whether it is the first transmission, the time offset value of the history record, and the frequency offset value of the history record comprises:

the initial antenna number is set as follows: n_ant_init;

the maximum grouping group number is set as follows: n_grp_max;

step 2, judging whether the first transmission situation exists or not:

and step 3, calculating the group number of the current group.

3. The data processing method of the receiving end of the wireless communication system according to claim 2, wherein the method of calculating the number of groups of the current packet includes:

dividing the current total subcarrier number by the subcarrier number in each subcarrier group and rounding up, and then comparing with the group number of the maximum group to take a smaller value so as to obtain the final group number of the current group.

4. The method for processing data at a receiving end of a wireless communication system as claimed in claim 3,

n_grp=min(ceil(n_sc_total/n_sc_grp) , n_grp_max)；

5. The data processing method of the receiving end of the wireless communication system as claimed in claim 4, wherein the method of dividing the data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy based on the subcarriers as the dimensions of the grouping, and determining the actual number of subcarriers in each subcarrier group of the current grouping comprises:

defining the current total subcarrier number in the system as n_sc_total, and dividing the current n_sc_total continuous subcarriers into a plurality of first subcarrier groups in sequence according to the group number of the current groups based on a first preset rule, wherein the plurality of first subcarrier groups form a first subcarrier group set;

for each first subcarrier group in the first subcarrier group set, determining an actual number of subcarriers within each first subcarrier group.

6. The method for processing data at a receiving end of a wireless communication system according to claim 5, wherein the method for dividing the data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy based on subcarriers as dimensions of the grouping, and determining the actual number of subcarriers in each subcarrier group of the current grouping further comprises:

Based on a second preset rule, on the basis of the first subcarrier group set, adding one or more subcarriers from adjacent groups to the tail and the head of two adjacent first subcarrier groups respectively to obtain a plurality of second subcarrier groups, wherein the second subcarrier groups form a second subcarrier group set;

for each second subcarrier group in the second subcarrier group, determining an actual number of subcarriers within each second subcarrier group.

7. A data processing method at a receiving end of a wireless communication system as claimed in claim 5 or 6, characterized in that,

H1=(h1Idx, rxAntdx, layerIdx, symIdx)；

wherein H1 represents a first channel estimation matrix, H1Idx represents a subcarrier index of a reference signal in a current packet, a value range of H1Idx is [0, H1Num-1], wherein H1 num=n_sc_grp (g)/n, n_sc_grp (g) represents an actual subcarrier number in a g-th subcarrier group based on the current packet, a value range of g is [0, n_grp-1], n_grp represents a group number of the current packet, and n represents a subcarrier sequence interval of the reference signal in the current packet;

rxAntdx represents the index of the receiving antenna, the value range of rxAntdx [0, rxAntNum-1], wherein rxAntNum represents the number of the receiving antennas;

layerIdx represents an index of the transmitted parallel data stream, and the value range of layerIdx is [0, layerNum-1], wherein layerNum represents the number of the parallel data streams;

symIdx represents the symbol index of the reference signal, and the value range of symIdx is [0, symnu-1 ], wherein symnu represents the number of symbols of the reference signal.

8. The method for processing data at a receiving end of a wireless communication system as claimed in claim 7, wherein,

for each subcarrier group of the current grouping, performing the following time offset estimation processing according to the first channel estimation matrix and subcarriers in the subcarrier group:

9. The method for processing data at a receiving end of a wireless communication system according to claim 8, wherein after performing time offset estimation processing based on the first channel estimation matrix and subcarriers in the subcarrier group and before performing frequency offset estimation processing, the method further comprises:

And executing second channel estimation processing to acquire a second channel estimation matrix corresponding to the subcarrier group.

10. The method for processing data at a receiving end of a wireless communication system as claimed in claim 9,

H2=(h2Idx, rxAntdx, layerIdx, symIdx)；

wherein H2 represents a second channel estimation matrix, h2Idx represents an index of a frequency domain, the value range of H2Idx is [0, H2Num-1], wherein h2num=n_sc_total/x, n_sc_total represents the current total subcarrier number in the system, and x represents the sequence interval of subcarriers;

11. The method for processing data at a receiving end of a wireless communication system as claimed in claim 10, wherein,

(1) Respectively calculating the phase difference between two adjacent symbols;

12. The method for processing data at a receiving end of a wireless communication system as claimed in claim 7, wherein,

for each subcarrier group of the current grouping, performing the following frequency offset estimation processing according to the first channel estimation matrix and subcarriers in the subcarrier group:

(1) Respectively calculating the phase difference between two adjacent symbols;

13. The method for processing data at a receiving end of a wireless communication system according to claim 11 or 12, wherein,

And collecting the time offset estimated values corresponding to all the current subcarrier groups, accumulating and averaging to serve as the time offset value of a new historical record, and updating the time offset value of the historical record.

14. The method for processing data at a receiving end of a wireless communication system according to claim 11 or 12, wherein,

and collecting the frequency offset estimated values corresponding to all the current subcarrier groups, accumulating and averaging to serve as the frequency offset value of a new history record, and updating the frequency offset value of the history record.

15. The method for processing data at a receiving end of a wireless communication system according to claim 11 or 12, wherein,

and under the condition that the received data stream is divided into a plurality of second subcarrier groups according to a preset grouping strategy, for each second subcarrier group, removing one or more subcarriers added by the second subcarrier group on the basis of the original first subcarrier group after the frequency offset estimation processing is executed and before the decoding processing is executed, so that the total sample size of the subcarriers to be processed is restored to the original total subcarrier number in the system before the decoding processing is executed.

16. A data processing apparatus at a receiving end of a wireless communication system, the apparatus comprising:

The acquisition module is used for acquiring a data stream to be received according to a signal transmission configuration, wherein the signal transmission configuration comprises the number of antennas, the number of time domain OFDM symbols and the number of frequency domain subcarriers;

the dividing module is used for dividing the data stream to be received into a plurality of subcarrier groups according to a preset grouping strategy based on the subcarriers as the dimensions of the grouping, and determining the actual subcarrier number in each subcarrier group of the current grouping, wherein the preset grouping strategy comprises determining the group number of the current grouping based on the number of receiving antennas, the total subcarrier number, whether the time offset value is the first transmission, the time offset value of the history record and the frequency offset value of the history record; dividing the data stream to be received into a plurality of subcarrier groups according to the group number of the current group, and determining the actual subcarrier number in each subcarrier group of the current group; and

a processing module, configured to perform, for each subcarrier group of a current packet, a first channel estimation process on subcarriers in the subcarrier group, and output a first channel estimation matrix corresponding to a reference signal in the subcarrier group, and then perform, according to the first channel estimation matrix and subcarriers in the subcarrier group, a time offset estimation process, a frequency offset estimation process, and a channel estimation interpolation process, to obtain a channel estimation result corresponding to a data signal in the subcarrier group;

The processing module is further configured to perform a first channel estimation process, a time offset estimation process, a frequency offset estimation process, and a channel estimation interpolation process on subcarriers in each of the subcarrier groups of the current packet simultaneously in a parallel manner.

17. The data processing apparatus at the receiving end of the wireless communication system of claim 16,

the processing module is also used for collecting the time offset estimated values corresponding to all the current subcarrier groups, accumulating and averaging the time offset estimated values to be used as the time offset value of a new history record, and updating the time offset value of the history record.

18. The data processing apparatus at the receiving end of the wireless communication system of claim 16,

the processing module is also used for collecting the frequency offset estimation values corresponding to all subcarrier groups of the current grouping, averaging after accumulation, serving as the frequency offset value of a new history record, and updating the frequency offset value of the history record.

19. A computer-readable storage medium, in which a computer program is stored, which computer program, when being executed by a processor, implements a data processing method of a receiving end of a wireless communication system according to any of claims 1 to 15.