CN114389920B - Channel estimation result processing method, device, terminal and storage medium - Google Patents

Channel estimation result processing method, device, terminal and storage medium Download PDF

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Publication number
CN114389920B
CN114389920B CN202210072813.6A CN202210072813A CN114389920B CN 114389920 B CN114389920 B CN 114389920B CN 202210072813 A CN202210072813 A CN 202210072813A CN 114389920 B CN114389920 B CN 114389920B
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state information
channel state
period
wiener filter
initial
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CN114389920A (en
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高宁泊
雷立辉
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Zeku Technology Beijing Corp Ltd
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Zeku Technology Beijing Corp Ltd
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Priority to PCT/CN2022/138683 priority patent/WO2023138263A1/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/024—Channel estimation channel estimation algorithms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0626—Channel coefficients, e.g. channel state information [CSI]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The embodiment of the application discloses a channel estimation result processing method, a device, a terminal and a storage medium, and belongs to the technical field of communication. The method comprises the following steps: acquiring channel state information, wherein the channel state information comprises first channel state information and second channel state information; the updating period of the first channel state information is a first period, and the updating period of the second channel state information is a second period; the first period is greater than the second period; in the updating period of the second channel state information, acquiring an initial wiener filter coefficient in the updating period of the second channel state information according to the first channel state information; acquiring a wiener filter coefficient in an updating period of the second channel state information according to the initial wiener filter coefficient and the second channel state information; and carrying out filtering processing on the channel estimation result according to the wiener filter coefficient. The scheme reduces the real-time calculation amount for calculating the wiener filter coefficient, thereby reducing the power consumption of the terminal.

Description

Channel estimation result processing method, device, terminal and storage medium
Technical Field
The disclosure relates to the field of communication technologies, and in particular, to a method, a device, a terminal and a storage medium for processing a channel estimation result.
Background
The terminal needs to perform real-time channel estimation in the communication process, and needs to calculate wiener filter coefficients for processing the channel estimation result in real time before performing the channel estimation so as to perform filtering denoising and interpolation processing on the channel estimation result.
In the related art, the minimum period of the channel state information change in the system for coefficient calculation is generally in units of time slots. Therefore, in coefficient calculation, it is necessary to calculate wiener filter coefficients in units of the minimum period of channel state information.
However, in the above-mentioned related art scheme, the calculation amount of the wiener filter coefficient calculation is large, and a large power consumption waste is caused to the terminal.
Disclosure of Invention
The embodiment of the application provides a channel estimation result processing method, a device, a terminal and a storage medium, which can reduce the power consumption of the terminal for channel estimation. The technical scheme is as follows:
in one aspect, an embodiment of the present application provides a method for processing a channel estimation result, where the method includes:
acquiring channel state information, wherein the channel state information comprises first channel state information and second channel state information; the updating period of the first channel state information is a first period, and the updating period of the second channel state information is a second period; the first period is greater than the second period;
In the updating period of the second channel state information, acquiring an initial wiener filter coefficient in the updating period of the second channel state information according to the first channel state information;
acquiring a wiener filter coefficient in an updating period of the second channel state information according to the initial wiener filter coefficient and the second channel state information;
and carrying out filtering processing on a channel estimation result in the updating period of the second channel state information according to the wiener filtering coefficient.
In another aspect, an embodiment of the present application provides a channel estimation result processing apparatus, where the apparatus includes:
the information acquisition module is used for acquiring channel state information, wherein the channel state information comprises first channel state information and second channel state information; the updating period of the first channel state information is a first period, and the updating period of the second channel state information is a second period; the first period is greater than the second period;
the first acquisition module is used for acquiring an initial wiener filter coefficient in the update period of the second channel state information according to the first channel state information in the update period of the second channel state information;
The second acquisition module is used for acquiring the wiener filter coefficient in the updating period of the second channel state information according to the initial wiener filter coefficient and the second channel state information;
and the processing module is used for carrying out filtering processing on the channel estimation result in the updating period of the second channel state information according to the wiener filtering coefficient.
In another aspect, an embodiment of the present application provides a terminal, where the terminal includes a processor and a memory; the memory has stored therein at least one computer instruction that is loaded and executed by the processor to implement the channel estimation result processing method as described in the above aspect.
In another aspect, embodiments of the present application provide a computer readable storage medium having stored therein at least one computer instruction that is loaded and executed by a processor to implement a channel estimation result processing method as described in the above aspect.
In another aspect, a computer program product or computer program is provided, the computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the terminal reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions so that the terminal performs the channel estimation result processing method provided in various alternative implementations of the above aspect.
On the other hand, the embodiment of the application provides a chip, which is used for executing the channel estimation result processing method in the aspect.
The technical scheme provided by the embodiment of the application has the beneficial effects that at least:
the channel state information is divided into first channel state information and second channel state information according to respective updating periods, initial wiener filter coefficients corresponding to the first periods are calculated through the first channel state information corresponding to the first periods with longer updating periods, and then wiener filter coefficients in each second period are calculated through the second channel state information corresponding to the second periods with shorter updating periods and the initial wiener filter coefficients, so that the channel estimation results in the second periods are subjected to filter processing through each wiener filter coefficient. The condition that the terminal needs to calculate the wiener filter coefficient corresponding to each time slot according to the channel state information acquired in the time slot is avoided, so that the real-time calculation amount for calculating the wiener filter coefficient is reduced, and the power consumption of the terminal is further reduced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a block diagram of a communication system shown in accordance with an exemplary embodiment;
fig. 2 is a flow chart illustrating a channel estimation result processing method according to an exemplary embodiment;
fig. 3 is a flowchart illustrating a channel estimation result processing method according to another exemplary embodiment;
FIG. 4 is a schematic diagram of a default mode enabled coefficient calculation in accordance with the embodiment of FIG. 3;
FIG. 5 is a schematic diagram of coefficient calculation in an enabled reduced power mode in accordance with the embodiment of FIG. 3;
fig. 6 is a block diagram of a channel estimation result processing apparatus according to an exemplary embodiment of the present application;
fig. 7 is a block diagram showing the structure of a terminal according to an exemplary embodiment of the present application.
Specific embodiments of the present disclosure have been shown by way of the above drawings and will be described in more detail below. These drawings and the written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the disclosed concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.
References herein to "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: 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.
Fig. 1 shows a block diagram of a communication system provided by an exemplary embodiment of the present application, which may include: access network 12, terminal equipment 14, and core network 16.
Access network 12 includes a number of access network devices 120 therein. Access network device 120 may be a base station, which is a device deployed in an access network to provide wireless communication functionality for terminals. The base stations may include various forms of macro base stations, micro base stations, relay stations, access points, and the like. In systems employing different radio access technologies, the names of devices with base station functions may be different, for example, in LTE (Long Term Evolution ) systems, called eNodeB (Evolved Node B) or eNB for short; in a 5G NR-U (5G New Radio in Unlicensed Spectrum, 5G air interface operating in unlicensed band) system, referred to as a gnob (5G base station) or gNB. As communication technology evolves, the description of "base station" may change. For convenience, the above-described devices for providing the terminal device 14 with the wireless communication function are collectively referred to as network devices.
The Terminal Device 14 may include various handheld devices, in-vehicle devices, wearable devices, computing devices, or other processing devices connected to a wireless modem, as well as various forms of user equipment, mobile Stations (MSs), terminals, etc. For convenience of description, the above-mentioned devices are collectively referred to as a terminal. The access network device 120 and the terminal device 14 communicate with each other via some air interface technology, e.g. Uu interface.
The core network 16 serves as the top layer of the mobile communication network, and completes the routing and exchange of data, and finally realizes the establishment of a channel between the end user and the internet, after which the end user can access the data center on the internet, that is, the server of the service provider, so that the service and the service provided by the service provider can be used.
The technical scheme of the embodiment of the application can be applied to various communication systems, such as: global system for mobile communications (Global System of Mobile Communication, GSM), code division multiple access (Code Division Multiple Access, CDMA) system, wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA) system, general packet Radio service (General Packet Radio Service, GPRS), long term evolution (Long Term Evolution, LTE) system, LTE frequency division duplex (Frequency Division Duplex, FDD) system, LTE time division duplex (Time Division Duplex, TDD) system, long term evolution advanced (Advanced Long Term Evolution, LTE-a) system, new Radio (NR) system, evolution system of NR system, LTE (LTE-based access to Unlicensed spectrum, LTE-U) system on unlicensed band, NR-U system, universal mobile telecommunication system (Universal Mobile Telecommunication System, UMTS), worldwide interoperability for microwave access (Worldwide Interoperability for Microwave Access, wiMAX) communication system, wireless local area network (Wireless Local Area Networks, WLAN), wireless fidelity (Wireless Fidelity, wiFi), 6 th Generation mobile communication technology (6-Generation, 6G) system, next Generation communication system or other communication system, etc.
Generally, the number of connections supported by the conventional communication system is limited and easy to implement, however, as the communication technology advances, the mobile communication system will support not only conventional communication but also, for example, device-to-Device (D2D) communication, machine-to-machine (Machine to Machine, M2M) communication, machine type communication (Machine Type Communication, MTC), inter-vehicle (Vehicle to Vehicle, V2V) communication, and internet of vehicles (Vehicle to Everything, V2X) systems, etc. The embodiments of the present application may also be applied to these communication systems.
Fig. 2 is a flowchart illustrating a channel estimation result processing method according to an exemplary embodiment of the present application. The channel estimation result processing method may be performed by a terminal, for example, the terminal device 14 in the communication system shown in fig. 1. The channel estimation result processing method comprises the following steps:
step 201, obtaining channel state information, wherein the channel state information comprises first channel state information and second channel state information; the updating period of the first channel state information is a first period, and the updating period of the second channel state information is a second period; the first period is greater than the second period.
In the embodiment of the application, in the process of channel estimation, the terminal needs to calculate the wiener filter coefficient for channel estimation of each time slot, and the wiener filter coefficient of each time slot is determined by the terminal based on the channel state information acquired by each time slot, so the terminal needs to acquire the channel state information of each time slot.
The channel state information may include first channel state information and second channel state information, and the first channel state information and the second channel state information may be distinguished according to respective corresponding update periods, that is, the update period of the first channel state information may include a first period, the update period of the second channel state information may include a second period, and the update period of the first channel state information is greater than the update period of the second channel state information.
For example, the update period of the first channel state information may be updated every x slots, the update period of the second channel state information may be updated every y slots, and x is greater than y.
In one possible implementation, the channel state information includes at least one of doppler spread information, delay spread information, signal to noise ratio, timing offset, and frequency offset.
When the terminal communicates in motion, the frequency of the received signal changes, which may be referred to as the doppler effect, and the doppler spread information may be information that the frequency shift of the signal determined by the terminal based on the doppler effect changes. Because the distances of the electric waves passing through the paths are different, the arrival time of the transmitted waves in the paths is different, so that multipath delay spread can be caused, and delay spread information is generated. The signal-to-noise ratio is the ratio of signal power to noise power and can be used to indicate the proportion of signal domain noise in the terminal.
Step 202, in the update period of the second channel state information, obtaining the initial wiener filter coefficient in the update period of the second channel state information according to the first channel state information.
In the embodiment of the application, in the update period of the second channel state information, the terminal can acquire the initial wiener filter coefficient in the update period of the second channel state information according to the first channel state information.
In one possible implementation manner, since the update period of the first channel state information is greater than the update period of the second channel state information, in the update period of the second channel state information, the value corresponding to the first channel state information in the update period corresponding to each is unchanged, and the terminal can calculate the initial wiener filter coefficient according to the first channel state information.
The initial wiener filter coefficient may be a coefficient calculated by doppler spread information, delay spread information and signal to noise ratio.
Since the corresponding values of the Doppler spread information, the time delay spread information and the signal to noise ratio are unchanged in the respective update periods, when the initial wiener filter coefficient is calculated, the Doppler spread information, the time delay spread information and the signal to noise ratio in a plurality of time intervals are unchanged, and in the case, after the initial wiener filter coefficient is calculated once, the calculation is not required to be repeated, so that the calculation amount of the initial wiener filter coefficient is reduced.
For example, if the update period of the first channel state information is 100 slots, the update period of the second channel state information is 20 slots, the initial wiener filter coefficient can be calculated according to the first channel state information once every 20 slots, if the value of each channel state information in the first channel state information is unchanged in 0-20 slots, the initial wiener filter coefficient of the 0-20 slots can be determined to be the same value, if the initial wiener filter coefficient in the 21-40 slots is continuously obtained, because the value of each channel state information in the first channel state information is still unchanged, the initial wiener filter coefficient of the 0-20 slots and the initial wiener filter coefficient in the 21-40 slots can be determined to be the same value, and additional coefficient calculation is not needed, thereby reducing the calculation amount of the terminal.
Step 203, according to the initial wiener filter coefficient and the second channel state information, the wiener filter coefficient in the update period of the second channel state information is obtained.
In the embodiment of the application, after the terminal obtains the initial wiener filter coefficient of the current time slot, the terminal can calculate and obtain the wiener filter coefficient in the update period of the second channel state information according to the second channel state information corresponding to the current time slot.
The second channel state information may be used to perform phase rotation on the initial wiener filter coefficient, and perform phase rotation on the initial wiener filter coefficient in each update period according to the update period of the second channel state information, so as to obtain the wiener filter coefficient in the update period of the second channel state information.
For example, if the update period of the first channel state information is 100 slots, it may be determined that the initial wiener filter coefficients in each 100 slot interval are the same, that is, the initial wiener filter coefficients in 0-100 slots may be a, the initial wiener filter coefficients in 101-200 slots may be b, and so on. If the update period of the second channel state information is 20 time slots, it may be determined that the values acquired by the second channel state information in each 20 time slot interval are the same, that is, the values of the second channel state information in the 0-20 time slots may be p, the values of the second channel state information in the 21-40 time slots may be q, since the initial wiener filter coefficient in the 0-100 time slots may be a, the wiener filter coefficient in each 20 time slots may be determined by calculation according to the second channel state information with the update period of 20 time slots, that is, the wiener filter coefficient in the 0-20 time slot interval may be calculated according to a and p, the wiener filter coefficient in the 21-40 time slot interval may be calculated according to a and q, and so on.
Step 204, filtering the channel estimation result in the update period of the second channel state information according to the wiener filter coefficient.
In the embodiment of the application, the terminal can perform filtering processing on the channel estimation result in the updating period of the second channel state information according to the determined wiener filter coefficient.
Since the wiener filter coefficients calculated on each time slot in each update period of the second channel state information are the same, the channel estimation result in each update period can be subjected to filtering processing according to the corresponding wiener filter coefficient in each update period of the second channel state information.
In summary, in the embodiment of the present application, the channel state information is divided into the first channel state information and the second channel state information according to the respective update periods, and the initial wiener filter coefficient corresponding to the first period is calculated by the first channel state information corresponding to the first period with the longer update period, and then the wiener filter coefficient in each second period is calculated by the second channel state information corresponding to the second period with the shorter update period and the initial wiener filter coefficient, so as to implement the filtering processing on the channel estimation result in the second period by each wiener filter coefficient. The condition that the terminal needs to calculate the wiener filter coefficient corresponding to each time slot according to the channel state information acquired in the time slot is avoided, so that the real-time calculation amount for calculating the wiener filter coefficient is reduced, and the power consumption of the terminal is further reduced.
Fig. 3 is a flowchart illustrating a channel estimation result processing method according to an exemplary embodiment of the present application. The channel estimation result processing method may be performed by a terminal, for example, the terminal device 14 in the communication system shown in fig. 1. The channel estimation result processing method comprises the following steps:
step 301, obtaining channel state information.
In the embodiment of the application, the terminal can acquire the corresponding numerical value of each channel state information under each time slot.
The channel state information may include first channel state information and second channel state information, among others. The update period of the first channel state information may include a first period, the update period of the second channel state information may include a second period, and the first period may be greater than the second period.
In one possible implementation, the first channel state information includes doppler spread information, delay spread information, and signal to noise ratio; the second channel state information includes at least one of a timing offset and a frequency offset.
For example, in the process of calculating the wiener filter coefficient, channel state information needs to be acquired in real time, the channel state information acquired in real time may include doppler spread information, delay spread information, signal to noise ratio, timing deviation and frequency deviation, and the acquired channel state information may be stored.
The channel state information used for calculating the wiener filter coefficient process may include doppler spread information, timing deviation and signal to noise ratio related to a frequency domain, or the channel state information used for calculating the wiener filter coefficient process may also include delay spread information, frequency deviation and signal to noise ratio related to a time domain.
That is, the process of calculating the wiener filter coefficients may be calculated using the doppler spread information, the timing deviation, and the signal-to-noise ratio, or the process of calculating the wiener filter coefficients may be calculated using the delay spread information, the frequency deviation, and the signal-to-noise ratio.
In one possible implementation, the first period includes at least one of an update period of the doppler spread information and an update period of the time spread information.
Wherein, when the process of calculating the wiener filter coefficient uses Doppler spread information, timing deviation and signal to noise ratio to calculate, the first period can comprise an update period of the Doppler spread information; when the wiener filter coefficient calculation process uses the delay spread information, the frequency deviation, and the signal-to-noise ratio for calculation, the first period may include an update period of the delay spread information.
Step 302, in the update period of the second channel state information, a signal-to-noise ratio interval in which the signal-to-noise ratio in the first channel state information is located is obtained.
In the embodiment of the application, the signal-to-noise ratio interval where the signal-to-noise ratio in the first channel state information is located is acquired in the update period of the second channel state information which is shorter than the update period of the first channel state information.
The signal-to-noise ratio belongs to short-term state information, that is, the signal-to-noise ratio is different from the Doppler expansion information and the time delay expansion information in that the channel state information value can be maintained unchanged in a first period, and the signal-to-noise ratio can only be maintained unchanged in a shorter time.
In one possible implementation manner, the terminal obtains the signal-to-noise ratio value on each time slot in the history record, determines that the maximum value of the signal-to-noise ratio value is the upper limit of the signal-to-noise ratio interval, determines that the minimum value of the signal-to-noise ratio value is the lower limit of the signal-to-noise ratio interval, obtains the signal-to-noise ratio range, and equally divides the signal-to-noise ratio range according to a preset quantization threshold value to obtain each signal-to-noise ratio interval.
For example, if the signal-to-noise ratio value range is determined to be [ -10, 40] according to the history terminal, that is, the signal-to-noise ratio value is between-10 dB and 40dB, if the preset quantization threshold is 8, the range of [ -10, 40] may be equally divided by 8, and 8 signal-to-noise ratio intervals are obtained after the equally dividing.
Step 303, obtaining a reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval.
In the embodiment of the application, the terminal determines a signal-to-noise ratio interval corresponding to the signal-to-noise ratio value according to the acquired signal-to-noise ratio value, and acquires a reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval.
In one possible implementation, after the terminal acquires each snr interval, the median in each snr interval is determined as the reference snr corresponding to the snr interval.
The terminal can acquire reference signal-to-noise ratios corresponding to all signal-to-noise ratio intervals, and the reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval is determined according to the signal-to-noise ratio interval corresponding to the acquired signal-to-noise ratio value.
For example, if the snr range of [ -10, 40] is equally divided by 8, 8 snr intervals are obtained after the equal division, median values in each snr interval are respectively-6, 0, 6, 12, 18, 24, 30 and 36 as reference snr corresponding to each snr interval, the snr interval to which the current snr value belongs is determined according to the obtained current snr value, and the reference snr corresponding to the corresponding snr interval is obtained.
By dividing the entire signal-to-noise ratio range into a plurality of signal-to-noise ratio intervals and each signal-to-noise ratio interval corresponding to a reference signal-to-noise ratio, each reference signal-to-noise ratio, i.e., quantized signal-to-noise ratio value, is used to characterize each signal-to-noise ratio value within the entire signal-to-noise ratio range. The terminal can obtain the initial wiener filter coefficients corresponding to each time slot in the whole first period by only calculating the initial wiener filter coefficients corresponding to each reference signal-to-noise ratio, so that the calculated amount of the coefficients is greatly reduced, and the power consumption of the terminal is reduced to a certain extent.
Step 304, according to the reference signal-to-noise ratio, obtaining an initial wiener filter coefficient in the update period of the second channel state information.
In the embodiment of the application, the terminal can calculate and obtain the initial wiener filter coefficient on each time slot in the update period of the second channel state according to the acquired reference signal-to-noise ratio corresponding to each time slot.
In one possible implementation manner, in response to the terminal obtaining the reference signal-to-noise ratio corresponding to each signal-to-noise ratio interval, each reference signal-to-noise ratio is used in advance, the doppler spread information and the timing deviation in the first channel state information are calculated to obtain an initial wiener filter coefficient corresponding to each reference signal-to-noise ratio, and the reference signal-to-noise ratio and the corresponding initial wiener filter coefficient are stored. When the terminal obtains the signal-to-noise ratio of the current time slot, the reference signal-to-noise ratio corresponding to the signal-to-noise ratio is determined, and the initial wiener filter coefficient corresponding to the reference signal-to-noise ratio is determined from the initial wiener filter coefficients corresponding to the stored reference signal-to-noise ratio according to the determined reference signal-to-noise ratio.
In an exemplary embodiment, when it is determined that the reference signal-to-noise ratio corresponding to each signal-to-noise ratio interval includes-6, 0, 6, 12, 18, 24, 30, and 36, since the value of the doppler spread information and the time spread information in the first period are unchanged, the initial wiener filter coefficients corresponding to each of the first periods are pre-calculated according to each of the reference signal-to-noise ratios, and when the coefficient calculation is started, the terminal obtains the signal-to-noise ratio value corresponding to the current time slot in the first period, determines the signal-to-noise ratio interval based on the signal-to-noise ratio value corresponding to the current time slot, thereby determining the reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval, and directly selecting the initial wiener filter coefficient corresponding to the reference signal-to-noise ratio from the pre-stored initial wiener filter coefficients according to the determined reference signal-to be the initial wiener filter coefficient obtained in the current time slot.
In one possible implementation, when an initial wiener filter coefficient corresponding to the reference signal-to-noise ratio exists in the update period of the first channel state information, the existing initial wiener filter coefficient corresponding to the reference signal-to-noise ratio is acquired as the initial wiener filter coefficient in the update period of the second channel state information. And when the initial wiener filter coefficient corresponding to the reference signal-to-noise ratio does not exist in the updating period of the first channel state information, acquiring the initial wiener filter coefficient in the updating period of the second channel state information according to the reference signal-to-noise ratio, doppler spread information in the first channel state information and delay spread information in the first channel state information.
When the terminal obtains the signal-to-noise ratio value under the current time slot, determining the signal-to-noise ratio interval to which the signal-to-noise ratio value belongs according to the signal-to-noise ratio value under the current time slot, determining the corresponding reference signal-to-noise ratio according to the determined signal-to-noise ratio interval, determining whether the initial wiener filter coefficient corresponding to the reference signal-to-noise ratio is calculated or not, if the initial wiener filter coefficient corresponding to the reference signal-to-noise ratio is not calculated before the current time slot, calculating the initial wiener filter coefficient under the current time slot according to the obtained reference signal-to-noise ratio, storing the calculated initial wiener filter coefficient and the corresponding reference signal-to-noise ratio in the terminal, and if the initial wiener filter coefficient corresponding to the reference signal-to-noise ratio is calculated before the current time slot, obtaining the initial wiener filter coefficient from all the stored initial wiener filter coefficients according to the obtained reference signal-to noise ratio.
For example, when the terminal obtains that the signal-to-noise ratio value a in the first time slot in the first period is a, the signal-to-noise ratio value a belongs to a signal-to-noise ratio interval 1, and the reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval 1 is a reference signal-to-noise ratio a, an initial wiener filter coefficient corresponding to the reference signal-to-noise ratio a is calculated as the initial wiener filter coefficient in the first time slot. When the terminal obtains that the signal-to-noise ratio value b in the second time slot in the first period is b, the signal-to-noise ratio value b still belongs to the signal-to-noise ratio interval 1, and the reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval 1 is the reference signal-to-noise ratio A, the initial wiener filter coefficient obtained by calculating the last time slot can be directly used as the initial wiener filter coefficient in the second time slot. When the terminal obtains that the signal-to-noise ratio value under the third time slot in the first period is c, the signal-to-noise ratio value c belongs to a signal-to-noise ratio interval 2, and the reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval 2 is a reference signal-to-noise ratio B, an initial wiener filter coefficient corresponding to the reference signal-to-noise ratio B can be calculated and obtained to serve as the initial wiener filter coefficient under the third time slot.
In one possible implementation, the initial wiener filter coefficients in the update period of the second channel state information are obtained based on a signal-to-noise ratio in the first channel state information, doppler spread information in the first channel state information, and delay spread information in the first channel state information.
The terminal can calculate and obtain the initial wiener filter coefficient under each time slot according to the signal-to-noise value, the Doppler spread information value and the time spread information value in the first channel state information under each time slot.
In one possible implementation, the initial wiener filter coefficients are determined from an autocorrelation matrix and a cross-correlation matrix.
The autocorrelation matrix can be obtained by calculating a channel correlation coefficient, a signal-to-noise value and a distance of the pilot pattern, and the cross correlation matrix can be obtained by calculating a channel correlation coefficient and a distance of the pilot pattern.
The channel correlation coefficient related to the frequency domain can be obtained by calculating the distance information of the pilot pattern, the carrier spacing and the time delay spread information estimated in real time. The time domain related channel correlation coefficient can be calculated by the distance information of the pilot pattern, the symbol time and the Doppler spread information estimated in real time.
By way of example, the formula for the initial wiener filter coefficient W may be expressed as,
wherein the autocorrelation matrix is Φ y The cross-correlation matrix is phi hh’ . The autocorrelation matrix is phi y The calculation method of (c) may be that,
where R (Δk) is the channel correlation coefficient, Δk=k j -k i Is the distance between RS RE j and RS RE i,is the noise power and I is an N x N identity matrix.
Cross-correlation matrix phi hh’ The calculation method of (c) may be that,
Φ hh’ ＝[R(k 0 -k i )R(k 1 -k i )…R(k N-1 -k i )]
in the calculation of the autocorrelation matrix and the cross correlation matrix, the channel correlation coefficient R is used. The channel correlation coefficient R may use doppler spread information or delay spread information obtained by real-time estimation, obtain a current channel correlation coefficient based on statistical correlation, calculate the channel correlation coefficient R by frequency domain correlation,
R(Δk)＝sin c(π×Δk×Δf×Delay)
where Δk is distance information, Δf is carrier spacing, and Delay is Delay spread information estimated in real time.
The method of calculating the channel correlation coefficient R of the time domain correlation may be,
R(Δn)＝sinc(2π×Δn×N symb ×Doppler)
where Δn is distance information, N symb Is the symbol time and Doppler is the real-time estimated Doppler spread information.
In one possible implementation, before acquiring the initial wiener filter coefficient, the terminal reads the channel state information contained in the register to acquire a first period and a second period, and when the first period and the second period meet the specified condition, acquires the initial wiener filter coefficient in the update period of the second channel state information according to the first channel state information in the update period of the second channel state information.
Wherein the specified condition may include a ratio of the first period and the second period being greater than a proportionality threshold.
That is, the wiener filter coefficient acquired by the terminal can be obtained by calculation in two modes, one mode is that the terminal can determine the shortest variation period in the Doppler expansion information, the time delay expansion information and the signal to noise ratio information by enabling the default mode through a coefficient calculation module in the terminal, so as to calculate the wiener filter coefficient in real time. Because in the 4G/5G system, the signal to noise ratio may vary from time slot to time slot due to the influence of Beam Forming (Beam Forming) at the base station side, the period of coefficient calculation can only be used when one time slot is taken as the period. In another mode, the terminal can use a mode of quantizing continuous signal-to-noise ratio into a plurality of states to convert short-term state information into long-term state information, namely dividing the whole signal-to-noise ratio range into a specified threshold number of states, wherein each state corresponds to a reference signal-to-noise ratio value, in the coefficient calculation process, the Doppler expansion information and the time delay expansion information values of the current first period and the quantized reference signal-to-noise ratio values are used for calculating a specified threshold number of initial wiener filter coefficients which are common to the current first period, and the initial wiener filter coefficients in the first period can form an initial coefficient set S.
Fig. 4 is a schematic diagram illustrating enabling a default mode for coefficient calculation according to an embodiment of the present application. As shown in fig. 4, the terminal calculates coefficients using the ACF/SNR level set in the current slot, and then selects and rotates the coefficients in the current slot. Step 41 is a process of estimating the doppler spread information, delay spread information, and channel correlation coefficients, step 42 is a process of generating coefficients using the signal-to-noise ratio, the doppler spread information, and the delay spread information, and step 43 is a process of performing coefficient selection (signal-to-noise ratio estimation at the current time slot) and phase rotation of the coefficients. Fig. 5 is a schematic diagram of coefficient calculation by enabling a reduced power consumption mode according to an embodiment of the present application. As shown in fig. 5, when the resource allocation is performed for the first time or the last time, the signal-to-noise ratio after filtering is unchanged, the power consumption reduction mode can be started to perform coefficient calculation, coefficients obtained through historical calculation are reserved, and then the corresponding coefficients of each time slot are selected and rotated to obtain the coefficients of each time slot through calculation. Step 51 is a process of estimating the doppler spread information, delay spread information, and channel correlation coefficients, step 52 is a process of generating coefficients using the signal-to-noise ratio, the doppler spread information, and the delay spread information, and step 53 is a process of performing coefficient selection (signal-to-noise ratio estimation at the current time slot) and phase rotation of the coefficients.
In one possible implementation, the terminal enables the reduced power consumption mode when the ratio of the first period and the second period is greater than a proportional threshold.
In order to ensure that the coefficient accuracy obtained by coefficient calculation for channel estimation does not affect the performance of the system, whether the first period corresponding to the first channel state information is far greater than the second period corresponding to the second channel state information is required to be determined before the coefficient calculation is performed in a mode of selecting a power-down mode, and if the ratio between the first period and the second period is greater than a proportional threshold, the terminal has better cost performance when performing the coefficient calculation in the power-down mode, and better balance between system performance and power consumption reduction is maintained.
Step 305, obtaining the wiener filter coefficient in the update period of the second channel state information according to the initial wiener filter coefficient and the second channel state information.
In the embodiment of the application, the terminal calculates and acquires the wiener filter coefficient in the updating period of the second channel state information according to the acquired initial wiener filter coefficient and the second channel state information.
In one possible implementation, after acquiring the initial wiener filter coefficient, the terminal needs to perform phase rotation on the coefficient according to the second channel state information of the current time slot, so as to obtain the wiener filter coefficient under the time slot.
Wherein the second channel state information includes at least one of a timing offset and a frequency offset.
In one possible implementation, when the second channel state information includes a timing deviation, the coefficients in the frequency direction in the initial wiener filter coefficients are rotated according to the timing deviation to obtain the wiener filter coefficients in an update period of the second channel state information.
That is, when the terminal acquires the initial wiener filter coefficient, the terminal performs phase rotation on the initial wiener filter coefficient in the frequency domain direction according to the timing deviation of the current update period of the acquired second channel state information, so as to obtain the wiener filter coefficient in the update period of the second channel state information.
In one possible implementation, when the second channel state information includes a frequency deviation, a rotation process is performed on a coefficient in a time domain direction in the initial wiener filter coefficient according to the frequency deviation, so as to obtain the wiener filter coefficient in an update period of the second channel state information.
That is, when the terminal acquires the initial wiener filter coefficient, the terminal performs phase rotation on the initial wiener filter coefficient in the time direction according to the frequency deviation of the current update period of the acquired second channel state information, so as to obtain the wiener filter coefficient in the update period of the second channel state information.
Illustratively, when the terminal acquires a change in the timing offset TO, a phase rotation is performed on the channel correlation coefficient R (Δk), and R (Δk) is multiplied by exp (2pi×Δk×to) TO obtain a wiener filter coefficient. When the terminal obtains the change of the frequency deviation FO, the phase rotation is carried out on the channel correlation coefficient R (delta n), and the R (delta n) is multiplied by exp (2 pi multiplied by delta n multiplied by FO) to obtain the wiener filter coefficient.
In one possible implementation, wiener filter coefficients for each receive antenna and CDM group (code division multiplexing group) need to be determined separately for the different receive antennas and CDM groups.
In the process of phase rotation of the coefficients, the terminal may first use instantaneous values of signal-to-noise ratios of each receiving antenna and CDM group of the current time slot to select the coefficient of the signal-to-noise ratio of the current time slot from the initial coefficient set S. If the update period of the timing deviation is M time slots, for the coefficient of the frequency domain direction, the timing deviation TO can be used for carrying out phase rotation once every M time slots; if the update period of the frequency offset FO is X slots, the frequency offset FO may be used to perform a phase rotation every X slots for the coefficients in the time domain direction. In order TO simplify the high-level L1CC control process, for the rotation of the coefficients in the rotation process of the coefficients, the rotation of TO and FO may also adopt a scheme of performing phase rotation on the coefficients once per time slot.
And 306, performing filtering processing on the channel estimation result in the updating period of the second channel state information according to the wiener filter coefficient.
In the embodiment of the application, the terminal can perform filtering processing on the channel estimation result in the updating period of the second channel state information according to the acquired real-time wiener filter coefficient.
The power reduction mode of the coefficient calculation process can be applied to the process of calculating the channel estimation coefficients of 4G LTE TM1-TM 10, and can also be applied to the process of calculating the coefficients of 5G NR PDSCH/PDCCH/PBCH DMRS.
In the calculation process of the modem chip coefficient, the channel state information is classified according to the update period, meanwhile, the coefficient calculation process is divided into two parts of coefficient generation and coefficient rotation, long-term channel information is used for coefficient generation, short-term information is used for coefficient rotation, complexity of coefficient calculation can be effectively saved, and particularly in a communication scene with a base station scheduling strategy and slow channel change, the coefficient calculation amount can be effectively reduced on the premise that the channel estimation performance is not affected, so that the purpose of reducing the system power consumption is achieved.
Taking the filter coefficient calculation of the 5G NR PDSDCH DMRS pilot as an example, the coefficient calculation amount of each period may be as shown in table 1, and for the NR PDSDCH DMRS pilot, the coefficient generation process needs to perform 63088 complex multiplication operations, 55156 complex addition operations, and 380 division operations.
TABLE 1
If complex multiplication or complex multiplication accumulation of 8 sc16 (16 bit i+16bit Q) can be completed according to one cycle (cycle), complex addition and subtraction of 8 sc16 (16 bit i+16bit Q) can be completed by one cycle, and calculation capacity of four divisions can be completed by one cycle for conversion, the number of cycles calculated by each cycle coefficient is about 7886+6984+95=15000. The cycle number of each cycle coefficient calculation may be as shown in table 2, and coefficient calculation may be performed according to a power-down mode, so that coefficient calculation may be performed once every N time slots, and the cycle number saved may be 15000 x (N-1) cycles. In a typical scenario, if n=40, the number of corresponding cycles is 60 ten thousand, and if n=100, the number of corresponding cycles is 150 ten thousand. Therefore, the scheme of the application can greatly reduce the power consumption.
Complex multiplication operations Complex addition operations Division operation
Total computational complexity 63088 55156 380
Cycle consumption 7886 6894 95
TABLE 2
In summary, in the embodiment of the present application, the channel state information is divided into the first channel state information and the second channel state information according to the respective update periods, and the initial wiener filter coefficient corresponding to the first period is calculated by the first channel state information corresponding to the first period with the longer update period, and then the wiener filter coefficient in each second period is calculated by the second channel state information corresponding to the second period with the shorter update period and the initial wiener filter coefficient, so as to implement the filtering processing on the channel estimation result in the second period by each wiener filter coefficient. The condition that the terminal needs to calculate the wiener filter coefficient corresponding to each time slot according to the channel state information acquired in the time slot is avoided, so that the real-time calculation amount for calculating the wiener filter coefficient is reduced, and the power consumption of the terminal is further reduced.
Fig. 6 is a block diagram showing a channel estimation result processing apparatus according to an exemplary embodiment of the present application. The channel estimation result processing device is used in a terminal, and comprises:
an information obtaining module 610, configured to obtain channel state information, where the channel state information includes first channel state information and second channel state information; the updating period of the first channel state information is a first period, and the updating period of the second channel state information is a second period; the first period is greater than the second period;
A first obtaining module 620, configured to obtain, in an update period of the second channel state information, an initial wiener filter coefficient in the update period of the second channel state information according to the first channel state information;
a second obtaining module 630, configured to obtain a wiener filter coefficient in an update period of the second channel state information according to the initial wiener filter coefficient and the second channel state information;
and a processing module 640, configured to perform filtering processing on the channel estimation result in the update period of the second channel state information according to the wiener filter coefficient.
In one possible implementation of the present invention,
the first channel state information includes: doppler spread information, delay spread information, and signal to noise ratio;
the second channel state information includes: at least one of timing bias and frequency bias.
In one possible implementation manner, the first obtaining module 620 includes:
the interval acquisition sub-module is used for acquiring a signal-to-noise ratio interval in which the signal-to-noise ratio in the first channel state information is located in an updating period of the second channel state information;
the reference acquisition sub-module is used for acquiring a reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval;
And the first acquisition sub-module is used for acquiring an initial wiener filter coefficient in the updating period of the second channel state information according to the reference signal-to-noise ratio.
In one possible implementation manner, the first obtaining sub-module includes:
and the first acquisition unit is used for acquiring the existing initial wiener filter coefficient corresponding to the reference signal-to-noise ratio as the initial wiener filter coefficient in the update period of the second channel state information when the initial wiener filter coefficient corresponding to the reference signal-to-noise ratio exists in the update period of the first channel state information.
In one possible implementation manner, the first obtaining sub-module includes:
a second obtaining unit, configured to obtain, when an initial wiener filter coefficient corresponding to the reference signal-to-noise ratio does not exist in the update period of the first channel state information, an initial wiener filter coefficient in the update period of the second channel state information according to the reference signal-to-noise ratio, the doppler spread information in the first channel state information, and the delay spread information in the first channel state information.
In one possible implementation manner, the first obtaining module 620 includes:
And the acquisition sub-module is used for acquiring an initial wiener filter coefficient in an updating period of the second channel state information according to the signal-to-noise ratio in the first channel state information, the Doppler expansion information in the first channel state information and the time delay expansion information in the first channel state information.
In one possible implementation, the second obtaining module 630 includes:
and the first coefficient acquisition sub-module is used for carrying out rotation processing on the coefficients in the frequency direction in the initial wiener filter coefficients according to the timing deviation when the second channel state information comprises the timing deviation, so as to obtain the wiener filter coefficients in the updating period of the second channel state information.
In one possible implementation, the second obtaining module 630 includes:
and the second coefficient acquisition sub-module is used for carrying out rotation processing on the coefficients in the time domain direction in the initial wiener filter coefficients according to the frequency deviation when the second channel state information comprises the frequency deviation, so as to obtain the wiener filter coefficients in the update period of the second channel state information.
In one possible implementation, the first period includes at least one of an update period of the doppler spread information and an update period of the delay spread information.
In one possible implementation, the apparatus further includes:
the period acquisition module is used for reading the channel state information contained in the register before acquiring the initial wiener filter coefficient in the update period of the second channel state information according to the first channel state information in the update period of the second channel state information to acquire the first period and the second period;
the first obtaining module 620 includes:
and the coefficient acquisition sub-module is used for acquiring an initial wiener filter coefficient in the updating period of the second channel state information according to the first channel state information in the updating period of the second channel state information when the first period and the second period meet the specified conditions.
In one possible implementation, the specified condition includes:
the ratio of the first period to the second period is greater than a proportional threshold.
In summary, in the embodiment of the present application, the channel state information is divided into the first channel state information and the second channel state information according to the respective update periods, and the initial wiener filter coefficient corresponding to the first period is calculated by the first channel state information corresponding to the first period with the longer update period, and then the wiener filter coefficient in each second period is calculated by the second channel state information corresponding to the second period with the shorter update period and the initial wiener filter coefficient, so as to implement the filtering processing on the channel estimation result in the second period by each wiener filter coefficient. The condition that the terminal needs to calculate the wiener filter coefficient corresponding to each time slot according to the channel state information acquired in the time slot is avoided, so that the real-time calculation amount for calculating the wiener filter coefficient is reduced, and the power consumption of the terminal is further reduced.
Fig. 7 is a block diagram showing the structure of a terminal according to an exemplary embodiment of the present application. The terminal may be an electronic device in which an application program is installed and run, such as a smart phone, a tablet computer, an electronic book, a portable personal computer, etc. The terminal of the present application may include one or more of the following components: processor 710, memory 720, and screen 730.
Processor 710 may include one or more processing cores. The processor 710 connects various parts within the overall terminal using various interfaces and lines, performs various functions of the terminal and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 720, and invoking data stored in the memory 720. Alternatively, the processor 710 may be implemented in hardware in at least one of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 710 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is responsible for rendering and drawing of the content required to be displayed by the screen 730; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 710 and may be implemented solely by a single communication chip.
The Memory 720 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (ROM). Optionally, the memory 720 includes a non-transitory computer-readable medium (non-transitory computer-readable storage medium). Memory 720 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 720 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, which may be an Android (Android) system (including a system developed based on an Android system), an IOS system developed by apple corporation (including a system developed based on an IOS system depth), or other systems, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like. The storage data area may also store data created by the terminal in use (such as phonebook, audio-video data, chat-record data), etc.
The screen 730 may be a capacitive touch display screen for receiving touch operations by a user on or near any suitable object, such as a finger, a stylus, etc., and displaying a user interface for the respective application. The touch display screen is typically provided at the front panel of the terminal. The touch display screen may be designed as a full screen, a curved screen, or a contoured screen. The touch display screen may also be designed as a combination of a full screen and a curved screen, and the combination of a special-shaped screen and a curved screen, which is not limited in the embodiment of the present application.
In addition, those skilled in the art will appreciate that the configuration of the terminal illustrated in the above-described figures does not constitute a limitation of the terminal, and the terminal may include more or less components than illustrated, or may combine certain components, or may have a different arrangement of components. For example, the terminal further includes components such as a radio frequency circuit, a shooting component, a sensor, an audio circuit, a wireless fidelity (Wireless Fidelity, wiFi) component, a power supply, a bluetooth component, and the like, which are not described herein.
The embodiment of the application also provides a computer readable storage medium, wherein at least one computer instruction is stored in the computer readable storage medium, and the at least one computer instruction is loaded and executed by a processor to implement the channel estimation result processing method according to each embodiment.
According to one aspect of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the terminal reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions so that the terminal performs the channel estimation result processing method provided in various alternative implementations of the above aspect.
The embodiment of the application also provides a chip which is used for executing the channel estimation result processing method in each embodiment.
Those skilled in the art will appreciate that in one or more of the examples described above, the functions described in the embodiments of the present application may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these functions may be stored on or transmitted over as one or more instructions or code on a computer-readable storage medium. Computer-readable storage media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The foregoing description of the preferred embodiments of the present application is not intended to limit the application, but rather, the application is to be construed as limited to the appended claims.

Claims (14)

1. A method for processing a channel estimation result, the method comprising:
Acquiring channel state information, wherein the channel state information comprises first channel state information and second channel state information; the updating period of the first channel state information is a first period, and the updating period of the second channel state information is a second period; the first period is greater than the second period;
in the updating period of the second channel state information, acquiring an initial wiener filter coefficient in the updating period of the second channel state information according to the first channel state information;
acquiring a wiener filter coefficient in an updating period of the second channel state information according to the initial wiener filter coefficient and the second channel state information;
and carrying out filtering processing on a channel estimation result in the updating period of the second channel state information according to the wiener filtering coefficient.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the first channel state information includes: doppler spread information, delay spread information, and signal to noise ratio;
the second channel state information includes: at least one of timing bias and frequency bias.
3. The method of claim 2, wherein the obtaining, during the update period of the second channel state information, initial wiener filter coefficients during the update period of the second channel state information from the first channel state information comprises:
Acquiring a signal-to-noise ratio interval in which the signal-to-noise ratio in the first channel state information is located in an updating period of the second channel state information;
acquiring a reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval;
and acquiring an initial wiener filter coefficient in an updating period of the second channel state information according to the reference signal-to-noise ratio.
4. The method of claim 3, wherein said obtaining initial wiener filter coefficients during an update period of said second channel state information based on said reference signal-to-noise ratio comprises:
and when the initial wiener filter coefficient corresponding to the reference signal-to-noise ratio exists in the updating period of the first channel state information, acquiring the existing initial wiener filter coefficient corresponding to the reference signal-to-noise ratio as the initial wiener filter coefficient in the updating period of the second channel state information.
5. The method of claim 3, wherein said obtaining initial wiener filter coefficients during an update period of said second channel state information based on said reference signal-to-noise ratio comprises:
and when the initial wiener filter coefficient corresponding to the reference signal-to-noise ratio does not exist in the updating period of the first channel state information, acquiring the initial wiener filter coefficient in the updating period of the second channel state information according to the reference signal-to-noise ratio, the Doppler spread information in the first channel state information and the time delay spread information in the first channel state information.
6. The method of claim 2, wherein the obtaining, during the update period of the second channel state information, initial wiener filter coefficients during the update period of the second channel state information from the first channel state information comprises:
and acquiring an initial wiener filter coefficient in an updating period of the second channel state information according to the signal-to-noise ratio in the first channel state information, the Doppler spread information in the first channel state information and the time delay spread information in the first channel state information.
7. The method of claim 2, wherein the obtaining wiener filter coefficients in an update period of the second channel state information based on the initial wiener filter coefficients and the second channel state information comprises:
and when the second channel state information comprises the timing deviation, carrying out rotation processing on the coefficients in the frequency direction in the initial wiener filter coefficients according to the timing deviation, and obtaining the wiener filter coefficients in the updating period of the second channel state information.
8. The method of claim 2, wherein the obtaining wiener filter coefficients in an update period of the second channel state information based on the initial wiener filter coefficients and the second channel state information comprises:
And when the second channel state information comprises the frequency deviation, carrying out rotation processing on the coefficients in the time domain direction in the initial wiener filter coefficients according to the frequency deviation, and obtaining the wiener filter coefficients in the updating period of the second channel state information.
9. The method of claim 2, wherein the first period comprises at least one of an update period of the doppler spread information and an update period of the delay spread information.
10. The method according to any one of claims 1 to 8, wherein before the obtaining, in the update period of the second channel state information, the initial wiener filter coefficient in the update period of the second channel state information according to the first channel state information, the method further comprises:
reading the channel state information contained in the register to obtain the first period and the second period;
the obtaining, in the update period of the second channel state information, an initial wiener filter coefficient in the update period of the second channel state information according to the first channel state information includes:
and when the first period and the second period meet the specified condition, acquiring an initial wiener filter coefficient in the updating period of the second channel state information according to the first channel state information in the updating period of the second channel state information.
11. The method of claim 10, wherein the specified conditions include:
the ratio of the first period to the second period is greater than a proportional threshold.
12. A channel estimation result processing apparatus, the apparatus comprising:
the information acquisition module is used for acquiring channel state information, wherein the channel state information comprises first channel state information and second channel state information; the updating period of the first channel state information is a first period, and the updating period of the second channel state information is a second period; the first period is greater than the second period;
the first acquisition module is used for acquiring an initial wiener filter coefficient in the update period of the second channel state information according to the first channel state information in the update period of the second channel state information;
the second acquisition module is used for acquiring the wiener filter coefficient in the updating period of the second channel state information according to the initial wiener filter coefficient and the second channel state information;
and the processing module is used for carrying out filtering processing on the channel estimation result in the updating period of the second channel state information according to the wiener filtering coefficient.
13. A terminal, the terminal comprising a processor and a memory; the memory has stored therein at least one computer instruction that is loaded and executed by the processor to implement the channel estimation result processing method according to any of claims 1 to 11.
14. A computer readable storage medium having stored therein at least one computer instruction that is loaded and executed by a processor to implement the channel estimation result processing method according to any of claims 1 to 11.
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