CN114389920A - Channel estimation result processing method, device, terminal and storage medium - Google Patents

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

Info

Publication number
CN114389920A
CN114389920A CN202210072813.6A CN202210072813A CN114389920A CN 114389920 A CN114389920 A CN 114389920A CN 202210072813 A CN202210072813 A CN 202210072813A CN 114389920 A CN114389920 A CN 114389920A
Authority
CN
China
Prior art keywords
state information
channel state
period
wiener filter
initial
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202210072813.6A
Other languages
Chinese (zh)
Other versions
CN114389920B (en
Inventor
高宁泊
雷立辉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zeku Technology Beijing Corp Ltd
Original Assignee
Zeku Technology Beijing Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zeku Technology Beijing Corp Ltd filed Critical Zeku Technology Beijing Corp Ltd
Priority to CN202210072813.6A priority Critical patent/CN114389920B/en
Publication of CN114389920A publication Critical patent/CN114389920A/en
Priority to PCT/CN2022/138683 priority patent/WO2023138263A1/en
Application granted granted Critical
Publication of CN114389920B publication Critical patent/CN114389920B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Power Engineering (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the application discloses a channel estimation result processing method, a channel estimation result processing 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 update period of 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 filtering coefficient. The scheme reduces the real-time calculation amount of wiener filter coefficient calculation, and further reduces the power consumption of the terminal.

Description

Channel estimation result processing method, device, terminal and storage medium
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a method, an apparatus, 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 a wiener filter coefficient for processing a channel estimation result in real time before performing channel estimation, so as to perform filtering, de-noising and interpolation processing on the channel estimation result.
In the related art, the minimum period for which channel state information changes in a system for coefficient calculation is generally in units of time slots. Therefore, in coefficient calculation, it is necessary to calculate the wiener filter coefficient in units of the minimum period of the channel state information.
However, in the above solutions in the related art, the calculation amount of the wiener filter coefficient calculation is large, which causes large power consumption waste for the terminal.
Disclosure of Invention
The embodiment of the application provides a channel estimation result processing method, a channel estimation result processing 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 update period of the second channel state information according to the initial wiener filter coefficient and the second channel state information;
and according to the wiener filter coefficient, carrying out filter processing on the channel estimation result in the update period of the second channel state information.
In another aspect, an embodiment of the present application provides a device for processing channel estimation results, where the device 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;
a first obtaining module, 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, 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 the processing module is used for carrying out filtering processing on the channel estimation result in the update 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, an embodiment of the present application provides a computer-readable storage medium, where at least one computer instruction is stored, where the computer instruction is loaded and executed by a processor to implement the channel estimation result processing method according to 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 executes the computer instructions, so that the terminal performs the channel estimation result processing method provided in the various alternative implementations of the above aspect.
In another aspect, an embodiment of the present application provides a chip, where the chip is configured to execute to implement the channel estimation result processing method according to the above 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 period are calculated through the first channel state information corresponding to the first period with the longer updating period, and then the wiener filter coefficients in each second period are calculated through the second channel state information corresponding to the second period with the shorter updating period and the initial wiener filter coefficients, so that filtering processing is carried out on channel estimation results in the second period through each wiener filter coefficient. The condition that the terminal needs to calculate the wiener filter coefficient corresponding to the time slot according to the channel state information acquired from the time slot on each 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 present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a block diagram illustrating a communication system in accordance with an exemplary embodiment;
FIG. 2 is a flow chart illustrating a method of channel estimation result processing in accordance with an exemplary embodiment;
fig. 3 is a flow chart illustrating a channel estimation result processing method according to another exemplary embodiment;
FIG. 4 is a schematic diagram of the embodiment of FIG. 3 in which default mode is enabled for coefficient calculation;
FIG. 5 is a schematic diagram of coefficient calculation with the reduced power consumption mode enabled according to the embodiment shown in 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 illustrating a structure of a terminal according to an exemplary embodiment of the present application.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Reference herein to "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in 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 device 14, and core network 16.
Several access network devices 120 are included in access network 12. The access network equipment 120 may be a base station, which is a device deployed in an access network to provide wireless communication functions 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 using different radio access technologies, names of devices having a base station function may be different, for example, in an LTE (Long Term Evolution) system, the device is called an eNodeB (Evolved Node B) or eNB for short; in a 5G NR-U (5G New Radio in Unlicensed Spectrum) system, it is called a gsnodeb (5G base station) or a gNB. The description of "base station" may change as communication technology evolves. For convenience of this embodiment, the above-mentioned apparatuses providing wireless communication function for the terminal device 14 are collectively referred to as a network device.
The Terminal devices 14 may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem with wireless communication capabilities, as well as various forms of user equipment, Mobile Stations (MSs), terminals (Terminal devices), and so forth. For convenience of description, the above-mentioned devices are collectively referred to as a terminal. Access network device 120 and terminal device 14 communicate with each other over some air interface technology, such as a Uu interface.
The core network 16 is used as the top layer of the mobile communication network to complete the routing and exchange of data, and finally realizes the establishment of a channel between the terminal user and the internet, after the channel is established, the terminal user can access a data center on the internet, namely a server of a service provider, so as to use services and services provided by the service provider.
The technical scheme of the embodiment of the application can be applied to various communication systems, for example: a Global System for Mobile Communication (GSM) System, a Code Division Multiple Access (CDMA) System, a Wideband Code Division Multiple Access (WCDMA) System, a General Packet Radio Service (GPRS), a Long Term Evolution (Long Term Evolution, LTE) System, a LTE Frequency Division Duplex (FDD) System, a LTE Time Division Duplex (TDD) System, an Advanced Long Term Evolution (LTE-A) System, a New wireless (New Radio, NR) System, an Evolution System of an NR System, an LTE-based Access (LTE-to-non-licensed) System, a UMTS-based Access (UMTS-to-non-licensed) System, a UMTS-based Universal Mobile Communication (UMTS-to-Universal Mobile Access, UMTS) System, WiMAX), a Wireless Local Area Network (WLAN), a Wireless Fidelity (WiFi), a 6 th Generation (6G) system, a next Generation communication system, or other communication systems.
Generally, the conventional Communication system supports a limited number of connections and is easy to implement, however, with the development of Communication technology, the mobile Communication system will support not only conventional Communication but also, for example, Device-to-Device (D2D) Communication, Machine-to-Machine (M2M) Communication, Machine Type Communication (MTC), Vehicle-to-Vehicle (V2V) Communication, and Vehicle networking (V2X) system, etc. The embodiments of the present application can 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 may be the terminal device 14 in the communication system shown in fig. 1. The channel estimation result processing method comprises the following steps:
step 201, 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 this embodiment of the present application, in the process of performing channel estimation, a terminal needs to calculate a wiener filter coefficient for channel estimation of each time slot, where the wiener filter coefficient of each time slot is determined by the terminal based on channel state information acquired by each time slot, and therefore, 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 their respective 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 is in motion for communication, the frequency of the received signal changes, which may be referred to as doppler effect, and the doppler spread information may be information of a change in signal frequency shift determined by the terminal based on the doppler effect. Because the distance of the radio wave passing through each path is different, the arrival time of the transmitted wave in each path is different, thereby causing multipath delay spread and generating delay spread information. The snr is a 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 this embodiment of the present application, in the update period of the second channel state information, the terminal may obtain, according to the first channel state information, an initial wiener filter coefficient in the update period of the second channel state information.
In a 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 corresponding values of the first channel state information in the respective update periods are not changed, and the terminal may 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.
Because the corresponding numerical values of the Doppler spread information, the delay spread information and the signal-to-noise ratio are unchanged in respective updating periods, the Doppler spread information, the delay spread information and the signal-to-noise ratio in a plurality of time intervals are unchanged in the calculation of the initial wiener filter coefficient, 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 cycle of the first channel state information is 100 time slots, and the update cycle of the second channel state information is 20 time slots, the initial wiener filter coefficient may be calculated once every 20 time slots according to the first channel state information, if the value of each channel state information in the first channel state information is not changed in 0-20 time slots, the initial wiener filter coefficient of 0-20 time slots may be determined to be the same value, and if the initial wiener filter coefficient in 21-40 time slots is continuously obtained, because the value of each channel state information in the first channel state information is still not changed, the initial wiener filter coefficient of 0-20 time slots and the initial wiener filter coefficient in 21-40 time slots may be determined to be the same value, and no additional coefficient calculation is required, thereby reducing the calculation amount of the terminal.
Step 203, 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 this embodiment of the present application, after obtaining the initial wiener filter coefficient of the current time slot, the terminal may calculate 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 configured to perform coefficient 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, to obtain a 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 the interval of each 20 time slots are respectively the same, that is, the values of the second channel state information in 0-20 time slots may all be p, and the values of the second channel state information in 21-40 time slots may all be q, since the initial wiener filter coefficient in 0-100 time slots may be a, the wiener filter coefficient in each 20 time slot may be determined by calculation according to the second channel state information whose update period is 20 time slots, that is, the wiener filter coefficient in 0-20 time slots may be calculated according to a and p, the wiener filter coefficient in 21-40 time slots may be calculated according to a and q, and so on.
And step 204, performing filtering processing on the channel estimation result in the update period of the second channel state information according to the wiener filter coefficient.
In this embodiment, the terminal may perform filtering processing on the channel estimation result in the update 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 the update period can be filtered 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, channel state information is divided into first channel state information and second channel state information according to respective update periods, an initial wiener filter coefficient corresponding to a first period with a longer update period is calculated by using the first channel state information corresponding to the first period, and then a wiener filter coefficient in each second period is calculated by using second channel state information corresponding to a second period with a shorter update period and the initial wiener filter coefficient, so as to implement filtering processing on a channel estimation result in the second period by using each wiener filter coefficient. The condition that the terminal needs to calculate the wiener filter coefficient corresponding to the time slot according to the channel state information acquired from the time slot on each 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 may be the terminal device 14 in the communication system shown in fig. 1. The channel estimation result processing method comprises the following steps:
step 301, acquiring channel state information.
In this embodiment, the terminal may obtain a numerical value corresponding to each piece of channel state information in each time slot.
The channel state information may include first channel state information and second channel state information. 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.
Illustratively, in the process of calculating the wiener filter coefficient, the 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 offset, and frequency offset, and the acquired channel state information may be stored.
The channel state information used for calculating the wiener filter coefficient may include frequency-domain-related doppler spread information, timing offset, and signal-to-noise ratio, or the channel state information used for calculating the wiener filter coefficient may also include time-domain-related delay spread information, frequency offset, and signal-to-noise ratio.
That is, the wiener filter coefficient calculation process may use doppler spread information, timing offset, and signal-to-noise ratio for calculation, or the wiener filter coefficient calculation process may use delay spread information, frequency offset, and signal-to-noise ratio for calculation.
In one possible implementation, the first period includes at least one of an update period of doppler spread information and an update period of delay spread information.
When the calculation of the wiener filter coefficient uses doppler spread information, timing offset and signal-to-noise ratio to perform calculation, the first period may include an update period of the doppler spread information; when the calculation of the wiener filter coefficient uses the delay spread information, the frequency offset, 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, acquiring the signal-to-noise ratio interval where the signal-to-noise ratio in the first channel state information is located.
In the embodiment of the application, a signal-to-noise ratio interval where a signal-to-noise ratio in first channel state information is located is acquired in a shorter update period of second channel state information than that of first channel state information.
The signal-to-noise ratio belongs to short-term state information, namely, the signal-to-noise ratio, the Doppler spread information and the delay spread information can be kept unchanged in a first period, the signal-to-noise ratio can only be kept unchanged in a short period, in order to convert the signal-to-noise ratio from the short-term state information to long-term state information, at least two signal-to-noise ratio intervals can be divided, and a signal-to-noise ratio interval where the signal-to-noise ratio in the first channel state information is located is obtained.
In a possible implementation manner, the terminal acquires the signal-to-noise ratio value of each time slot in the history record, determines that the maximum value of the signal-to-noise ratio value is the upper limit of a 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, acquires the signal-to-noise ratio range, and equally divides the signal-to-noise ratio range according to a preset quantization threshold to acquire each signal-to-noise ratio interval.
Illustratively, if the range of the signal-to-noise ratio value 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 value is 8, the range of [ -10, 40] can be equally divided by 8, and 8 signal-to-noise ratio intervals are obtained after the equal division is obtained.
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 a possible implementation manner, after the terminal acquires each signal-to-noise ratio interval, determining a median in each signal-to-noise ratio interval as a reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval.
The terminal can acquire a reference signal-to-noise ratio corresponding to each signal-to-noise ratio interval, and determine the reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval according to the signal-to-noise ratio interval corresponding to the acquired signal-to-noise ratio.
Illustratively, if the signal-to-noise ratio range of [ -10, 40] is divided into 8 equal parts, 8 signal-to-noise ratio intervals are obtained after the equal parts are obtained, the median of each signal-to-noise ratio interval is obtained and is respectively-6, 0, 6, 12, 18, 24, 30 and 36 as the reference signal-to-noise ratio corresponding to each signal-to-noise ratio interval, the signal-to-noise ratio interval to which the current signal-to-noise ratio value belongs is determined according to the obtained current signal-to-noise ratio value, and the reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval to which the current signal-to-noise ratio value belongs is obtained.
The whole signal-to-noise ratio range is divided into a plurality of signal-to-noise ratio intervals, each signal-to-noise ratio interval corresponds to one reference signal-to-noise ratio, and each reference signal-to-noise ratio, namely a quantized signal-to-noise ratio value, is used for representing each signal-to-noise ratio value in the whole signal-to-noise ratio range. The terminal can obtain the initial wiener filter coefficients corresponding to each time slot in the whole first period only by calculating the initial wiener filter coefficients corresponding to each reference signal-to-noise ratio, so that the calculation amount of the coefficients is greatly reduced, and the power consumption of the terminal is reduced to a certain extent.
And 304, acquiring an initial wiener filter coefficient in an updating period of the second channel state information according to the reference signal-to-noise ratio.
In this embodiment of the present application, the terminal may calculate, according to the obtained reference signal-to-noise ratio corresponding to each time slot, an initial wiener filter coefficient on each time slot in the update period of the second channel state.
In a 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, and the doppler spread information and the timing offset in the first channel state information are used to calculate and obtain the 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 acquires the signal-to-noise ratio of the current time slot, determining a reference signal-to-noise ratio corresponding to the signal-to-noise ratio, and determining an initial wiener filter coefficient corresponding to the reference signal-to-noise ratio from initial wiener filter coefficients corresponding to the stored reference signal-to-noise ratio according to the determined reference signal-to-noise ratio.
Illustratively, when it is determined that the reference snr includes-6, 0, 6, 12, 18, 24, 30 and 36 corresponding to each snr interval, since the values of the doppler spread information and the delay spread information in the first period are not changed, the initial wiener filter coefficients corresponding to each other in the first period are pre-calculated according to the respective reference signal-to-noise ratios, when the coefficient calculation is started, the terminal acquires the corresponding signal-to-noise ratio value under the current time slot in the first period, determines the signal-to-noise ratio interval based on the corresponding signal-to-noise ratio value under the current time slot, thereby determining the reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval, and directly selecting an 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-noise ratio, and taking the initial wiener filter coefficient as the initial wiener filter coefficient obtained under the current time slot.
In a possible implementation manner, when an initial wiener filter coefficient corresponding to a reference signal-to-noise ratio already exists in an update period of the first channel state information, the existing initial wiener filter coefficient corresponding to the reference signal-to-noise ratio is obtained as an initial wiener filter coefficient in an 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, the Doppler spread information in the first channel state information and the time delay spread information in the first channel state information.
When the terminal acquires the signal-to-noise ratio value under the current time slot, the signal-to-noise ratio interval to which the terminal belongs is determined according to the signal-to-noise ratio value under the current time slot, the corresponding reference signal-to-noise ratio is determined according to the determined signal-to-noise ratio interval, whether the initial wiener filter coefficient corresponding to the reference signal-to-noise ratio is calculated or not is determined, if the initial wiener filter coefficient corresponding to the reference signal-to-noise ratio is not calculated before the current time slot, the initial wiener filter coefficient under the current time slot can be calculated according to the acquired reference signal-to-noise ratio, the calculated initial wiener filter coefficient and the corresponding reference signal-to-noise ratio are stored 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, the initial wiener filter coefficient can be obtained from the stored initial wiener filter coefficients according to the acquired reference signal-to-noise ratio.
Illustratively, when the signal-to-noise ratio value a obtained by the terminal 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 acquires that the signal-to-noise ratio value b in the second time slot in the first period 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 acquires that the signal-to-noise ratio value c in the third time slot in the first period belongs to the signal-to-noise ratio interval 2, and the reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval 2 is the reference signal-to-noise ratio B, the initial wiener filter coefficient corresponding to the reference signal-to-noise ratio B can be calculated and obtained and used as the initial wiener filter coefficient in the third time slot.
In a possible implementation manner, an initial wiener filter coefficient in an update period of second channel state information is obtained according to 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.
And the terminal can calculate and obtain an initial wiener filter coefficient under each time slot according to the signal-to-noise ratio value, the Doppler spread information value and the time delay 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 the autocorrelation matrix and the cross-correlation matrix.
The autocorrelation matrix can be obtained by calculating the channel correlation coefficient, the signal-to-noise ratio and the distance of the pilot pattern, and the cross-correlation matrix can be obtained by calculating the channel correlation coefficient and the distance of the pilot pattern.
The channel correlation coefficient related to the frequency domain can be obtained by calculating distance information of the pilot frequency pattern, carrier spacing and real-time estimated delay spread information. The time-domain correlated channel correlation coefficient can be calculated by the distance information of the pilot frequency pattern, the symbol time and the real-time estimated Doppler spread information.
Illustratively, the formula for the initial wiener filter coefficients W may be expressed as,
Figure BDA0003482893210000121
wherein the autocorrelation matrix is phiyThe cross-correlation matrix is phihh’. The autocorrelation matrix is phiyThe method of calculating (a) may be,
Figure BDA0003482893210000122
where R (Δ k) is a channel correlation coefficient, and Δ k ═ kj-kiIs the distance between RS RE j and RS RE i,
Figure BDA0003482893210000123
is the noise power, and I is an N × N identity matrix.
Cross correlation matrix phihh’The method of calculating (a) may be,
Φhh’＝[R(k0-ki)R(k1-ki)…R(kN-1-ki)]
in the calculation process of the autocorrelation matrix and the cross correlation matrix, a channel correlation coefficient R is used. The channel correlation coefficient R may be obtained by using doppler spread information or delay spread information estimated in real time, and obtaining a current channel correlation coefficient based on statistical correlation, and the channel correlation coefficient R related in the frequency domain may be calculated by,
R(Δk)＝sin c(π×Δk×Δf×Delay)
where Δ k is distance information, Δ f is carrier spacing, and Delay is Delay spread information obtained by real-time estimation.
The time-domain correlated channel correlation coefficient R may be calculated,
R(Δn)＝sinc(2π×Δn×Nsymb×Doppler)
where Δ N is distance information, NsymbIs the symbol time and Doppler is the Doppler spread information estimated in real time.
In a possible implementation manner, before the initial wiener filter coefficient is obtained, the terminal reads the register containing the channel state information to obtain a first period and a second period, and when the first period and the second period meet specified conditions, the initial wiener filter coefficient in the update period of the second channel state information is obtained according to the first channel state information in the update period of the second channel state information.
Wherein the specified condition may include that a ratio of the first period to the second period is greater than a proportional threshold.
That is to say, the wiener filter coefficient obtained by the terminal can be obtained by calculation in two ways, one way is that the terminal can determine the shortest change period in the doppler spread information, the delay spread information and the signal-to-noise ratio information by using a coefficient calculation module in the terminal to calculate the wiener filter coefficient in real time by starting a default mode. In the 4G/5G system, due to the influence of Beam Forming (Beam Forming) on the base station side, the signal-to-noise ratio may vary for each time slot, and therefore, the period of coefficient calculation can only adopt the case of taking one time slot as a period. In another mode, the terminal starts a power consumption reduction mode, and can convert short-term state information into long-term state information by quantizing a continuous signal-to-noise ratio into a plurality of states, that is, a whole signal-to-noise ratio range is divided into specified threshold states, each state corresponds to a reference signal-to-noise ratio value, in the coefficient calculation process, the doppler spread information and the delay spread information of the current first period and the quantized reference signal-to-noise ratio value are used to calculate specified threshold initial wiener filter coefficients common to the current first period, and the initial wiener filter coefficients in the first period can form an initial coefficient set S.
For example, fig. 4 is a schematic diagram of coefficient calculation in a default mode 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 an estimation process of doppler spread information, delay spread information, and channel correlation coefficient, step 42 is a process of generating coefficient using signal-to-noise ratio, doppler spread information, and delay spread information, and step 43 is a process of performing coefficient selection (signal-to-noise ratio estimation in the current time slot) and phase rotation of coefficient. Fig. 5 is a schematic diagram illustrating coefficient calculation by enabling a power consumption reduction mode according to an embodiment of the present application. As shown in fig. 5, when resource allocation is performed for the first time or the last time, the filtered snr is not changed, a power consumption reduction mode may be enabled to perform coefficient calculation, the coefficient obtained by history calculation is retained, and then the coefficient corresponding to each time slot is selected and rotated to obtain the coefficient of each time slot. Step 51 is an estimation process of doppler spread information, delay spread information, and channel correlation coefficient, step 52 is a process of generating coefficient using signal-to-noise ratio, doppler spread information, and delay spread information, and step 53 is a process of performing coefficient selection (signal-to-noise ratio estimation in the current time slot) and phase rotation of coefficient.
In one possible implementation, when the ratio of the first period to the second period is greater than a proportional threshold, the terminal enables the reduced power consumption mode.
In order to ensure that the accuracy of the coefficient obtained by calculating the coefficient used for channel estimation does not affect the performance of the system, it is necessary to determine whether a first period corresponding to the first channel state information is far greater than a second period of the second channel state information before selecting a power down mode for coefficient calculation, and if the ratio between the first period and the second period is greater than a proportional threshold, the terminal has a better cost performance when adopting the power down mode for coefficient calculation, so as to better maintain the balance between the system performance and the power down consumption.
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 the wiener filter coefficient in the update period of the second channel state information according to the obtained initial wiener filter coefficient and the second channel state information.
In a possible implementation manner, after obtaining an initial wiener filter coefficient, the terminal needs to perform phase rotation on the coefficient according to second channel state information of a current time slot, so as to obtain the wiener filter coefficient in the time slot.
Wherein the second channel state information includes at least one of a timing offset and a frequency offset.
In a possible implementation manner, when the second channel state information includes a timing offset, according to the timing offset, a rotation process is performed on a coefficient in a frequency domain direction in the initial wiener filter coefficients, so as to obtain the wiener filter coefficients in an update period of the second channel state information.
That is to say, 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 acquired current update period of the second channel state information to obtain the wiener filter coefficient in the update period of the second channel state information.
In a possible implementation manner, when the second channel state information includes a frequency deviation, according to the frequency deviation, a rotation process is performed on a coefficient in a time domain direction in the initial wiener filter coefficient, so as to obtain a wiener filter coefficient in an update period of the second channel state information.
That is to say, when the terminal acquires the initial wiener filter coefficient, the terminal performs phase rotation on the initial wiener filter coefficient in the time domain direction according to the frequency deviation of the acquired current update period of the second channel state information to obtain the wiener filter coefficient in the update period of the second channel state information.
Illustratively, when the terminal acquires that the timing offset TO changes, the channel correlation coefficient R (Δ k) is phase-rotated, and R (Δ k) is multiplied by exp (2 π × Δ k × TO) TO obtain a wiener filter coefficient. When the terminal acquires the change of the frequency deviation FO, the phase rotation is carried out on the channel correlation coefficient R (delta n), and 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, for different receive antennas and different CDM groups (code division multiplexing groups), the wiener filter coefficients of each receive antenna and CDM group need to be determined separately.
In the process of phase rotation of the coefficients, the terminal may first select the snr coefficient of the current timeslot from the initial coefficient set S by using the receiving antennas of the current timeslot and the instantaneous snr values of the CDM group. If the update cycle of the timing offset is M time slots, for the coefficient in the frequency domain direction, the timing offset TO may be used TO perform phase rotation once every M time slots; if the update period of the frequency offset FO is X slots, the phase rotation can be performed every X slots using the frequency offset FO for the coefficients in the time domain direction. In order TO simplify the control process of the higher layer L1CC, the TO and FO may be rotated by performing a phase rotation on the coefficients once every slot in the coefficient rotation process.
Step 306, according to the wiener filter coefficient, filtering the channel estimation result in the update period of the second channel state information.
In this embodiment, the terminal may perform filtering processing on the channel estimation result in the update period of the second channel state information according to the obtained 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 TM 1-TM 10, and can also be applied to the process of calculating the coefficients of 5G NR PDSCH/PDCCH/PBCH DMRS.
Illustratively, in the calculation process of the modem chip coefficients, channel state information is classified according to an update period, and the coefficient calculation process is divided into two parts, namely coefficient generation and coefficient rotation, long-term channel information is used for coefficient generation, and short-term information is used for coefficient rotation, so that the complexity of coefficient calculation can be effectively saved, and particularly in a base station scheduling strategy and a communication scene with slow channel change, the coefficient calculation amount can be effectively reduced on the premise of not influencing the channel estimation performance, thereby achieving the purpose of reducing the system power consumption.
Taking the filter coefficient calculation of 5G NR PDSDCH DMRS pilots as an example, the coefficient calculation amount in each period can be as shown in table 1, and for NR PDSDCH DMRS pilots, the coefficient generation process needs 63088 complex multiplications, 55156 complex additions, and 380 divisions.
Figure BDA0003482893210000151
Figure BDA0003482893210000161
TABLE 1
If complex multiplication or complex multiplication accumulation of 8 sc16(16bit I +16bit Q) can be completed according to one cycle (cycle), complex addition and subtraction operations of 8 sc16(16bit I +16bit Q) can be completed by one cycle, and the calculation capacity of four divisions can be reduced by one cycle, and the number of cycles of coefficient calculation of each cycle is about 7886+6984+ 95-15000. The number of cycles of coefficient calculation per cycle can be as shown in table 2, and coefficient calculation is performed according to a power consumption reduction mode, and coefficient calculation can be performed every N time slots, and the number of saved cycles can be 15000 × N-1 cycles. In a typical scenario, if N is 40, the number of corresponding cycles is 60 ten thousand, and if N is 100, the number of corresponding cycles is 150 ten thousand. Therefore, the power consumption can be greatly reduced by using the scheme shown in the application.
Complex multiplication operations Complex addition operation Division operation
Total computational complexity 63088 55156 380
Consumption of cycle 7886 6894 95
TABLE 2
In summary, in the embodiment of the present application, channel state information is divided into first channel state information and second channel state information according to respective update periods, an initial wiener filter coefficient corresponding to a first period with a longer update period is calculated by using the first channel state information corresponding to the first period, and then a wiener filter coefficient in each second period is calculated by using second channel state information corresponding to a second period with a shorter update period and the initial wiener filter coefficient, so as to implement filtering processing on a channel estimation result in the second period by using each wiener filter coefficient. The condition that the terminal needs to calculate the wiener filter coefficient corresponding to the time slot according to the channel state information acquired from the time slot on each 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 shows a block diagram of 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 the processing module 640 is 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 form of the method,
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.
In a possible implementation manner, the first obtaining module 620 includes:
the interval obtaining submodule is used for obtaining a signal-to-noise ratio interval where 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 submodule is used for acquiring a reference signal-to-noise ratio corresponding to the signal-to-noise ratio interval;
and the first obtaining submodule is used for obtaining an initial wiener filter coefficient in an updating period of the second channel state information according to the reference signal-to-noise ratio.
In a possible implementation manner, the first obtaining sub-module includes:
a first obtaining unit, configured to, when an initial wiener filter coefficient corresponding to the reference signal-to-noise ratio already exists in an update period of the first channel state information, obtain an initial wiener filter coefficient in an update period of the second channel state information from an existing initial wiener filter coefficient corresponding to the reference signal-to-noise ratio.
In a possible implementation manner, the first obtaining sub-module includes:
a second obtaining unit, configured to, when there is no initial wiener filter coefficient corresponding to the reference signal-to-noise ratio in the update period of the first channel state information, obtain 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 a possible implementation manner, the first obtaining module 620 includes:
an obtaining sub-module, configured to obtain an initial wiener filter coefficient in an update 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 delay spread information in the first channel state information.
In a possible implementation manner, the second obtaining module 630 includes:
and a first coefficient obtaining sub-module, configured to, when the second channel state information includes the timing offset, perform rotation processing on a coefficient in a frequency domain direction in the initial wiener filter coefficient according to the timing offset, and obtain a wiener filter coefficient in an update period of the second channel state information.
In a possible implementation manner, the second obtaining module 630 includes:
and a second coefficient obtaining sub-module, configured to, when the second channel state information includes the frequency deviation, perform rotation processing on a coefficient in a time domain direction in the initial wiener filter coefficient according to the frequency deviation, and obtain a wiener filter coefficient in an 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:
a period obtaining module, configured to, in an update period of the second channel state information, read a register that includes the channel state information before obtaining an initial wiener filter coefficient in the update period of the second channel state information according to the first channel state information, and obtain the first period and the second period;
the first obtaining module 620 includes:
and the coefficient obtaining submodule is used for obtaining an initial wiener filter coefficient in an 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 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, channel state information is divided into first channel state information and second channel state information according to respective update periods, an initial wiener filter coefficient corresponding to a first period with a longer update period is calculated by using the first channel state information corresponding to the first period, and then a wiener filter coefficient in each second period is calculated by using second channel state information corresponding to a second period with a shorter update period and the initial wiener filter coefficient, so as to implement filtering processing on a channel estimation result in the second period by using each wiener filter coefficient. The condition that the terminal needs to calculate the wiener filter coefficient corresponding to the time slot according to the channel state information acquired from the time slot on each 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 illustrating a structure of a terminal according to an exemplary embodiment of the present application. The terminal may be an electronic device installed and running with an application, such as a smart phone, a tablet computer, an electronic book, a portable personal computer, and the like. A terminal in the present application may include one or more of the following components: a processor 710, a memory 720, and a 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 calling data stored in the memory 720. Alternatively, the processor 710 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 710 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is responsible for rendering and drawing the content to be displayed by the screen 730; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 710, but may be implemented by a communication chip.
The Memory 720 may include a Random Access Memory (RAM) or a Read-Only Memory (ROM). Optionally, the memory 720 includes a non-transitory computer-readable medium. The memory 720 may be used to store instructions, programs, code sets, or instruction sets. The memory 720 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, 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 above method embodiments, and the like, and the operating system may be an Android (Android) system (including a system based on Android system depth development), an IOS system developed by apple inc (including a system based on IOS system depth development), or other systems. The storage data area may also store data created by the terminal in use, such as a phonebook, audio-video data, chat log data, and the like.
The screen 730 may be a capacitive touch display screen for receiving a touch operation of a user on or near the screen using a finger, a stylus, or any other suitable object, and displaying a user interface of various applications. The touch display screen is generally provided at a front panel of the terminal. The touch display screen may be designed as a full-face screen, a curved screen, or a profiled screen. The touch display screen can also be designed to be a combination of a full-face screen and a curved-face screen, and a combination of a special-shaped screen and a curved-face screen, which is not limited in the embodiment of the present application.
In addition, those skilled in the art will appreciate that the configurations of the terminals illustrated in the above-described figures do not constitute limitations on the terminals, as the terminals may include more or less components than those illustrated, or some components may be combined, or a different arrangement of components may be used. For example, the terminal further includes a radio frequency circuit, a shooting component, a sensor, an audio circuit, a Wireless Fidelity (WiFi) component, a power supply, a bluetooth component, and other components, which are not described herein again.
The embodiment of the present application further provides a computer-readable storage medium, where 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 the above embodiments.
According to an aspect of the application, a computer program product or computer program is provided, comprising computer instructions, the computer instructions being stored in a computer readable storage medium. The processor of the terminal reads the computer instructions from the computer-readable storage medium, and executes the computer instructions, so that the terminal performs the channel estimation result processing method provided in the various alternative implementations of the above aspect.
The embodiment of the present application further provides a chip, where the chip is configured to implement the channel estimation result processing method according to the foregoing embodiments.
Those skilled in the art will recognize 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, the 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 above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (16)

1. A method for processing channel estimation results, 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 update period of the second channel state information according to the initial wiener filter coefficient and the second channel state information;
and according to the wiener filter coefficient, carrying out filter processing on the channel estimation result in the update period of the second channel state information.
2. The method of claim 1,
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.
3. The method of claim 2, wherein the obtaining initial wiener filter coefficients 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 comprises:
acquiring a signal-to-noise ratio interval where 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 obtaining initial wiener filter coefficients in an update period of the second channel state information according to the 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 obtaining initial wiener filter coefficients in an update period of the second channel state information according to the 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 delay spread information in the first channel state information.
6. The method of claim 2, wherein the obtaining initial wiener filter coefficients 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 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 obtaining wiener filter coefficients in an update period of the second channel state information according to the initial wiener filter coefficients and the second channel state information comprises:
and when the second channel state information comprises the timing deviation, performing rotation processing on the coefficient in the frequency domain direction in the initial wiener filter coefficient according to the timing deviation to obtain the wiener filter coefficient in the update period of the second channel state information.
8. The method of claim 2, wherein obtaining wiener filter coefficients in an update period of the second channel state information according to the initial wiener filter coefficients and the second channel state information comprises:
and when the second channel state information comprises the frequency deviation, performing rotation processing on the coefficient in the time domain direction in the initial wiener filter coefficient according to the frequency deviation to obtain the wiener filter coefficient in the update 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 acquiring the initial wiener filter coefficients 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 method further comprises:
reading the channel state information contained in a register to obtain the first period and the second period;
the acquiring, according to the first channel state information, an initial wiener filter coefficient in an update period of the second channel state information in the update period of the second channel state information includes:
and when the first period and the second period meet specified conditions, 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.
11. The method of claim 10, wherein the specified condition comprises:
the ratio of the first period to the second period is greater than a proportional threshold.
12. A channel estimation result processing 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;
a first obtaining module, 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, 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 the processing module is used for carrying out filtering processing on the channel estimation result in the update period of the second channel state information according to the wiener filtering coefficient.
13. A terminal, characterized in that the terminal comprises 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 of any of claims 1 to 11.
14. A computer-readable storage medium having stored therein at least one computer instruction, which is loaded and executed by a processor, to implement the channel estimation result processing method according to any one of claims 1 to 11.
15. A computer program product, characterized in that the computer program product comprises computer instructions which, when executed by a processor of a terminal, cause the terminal to perform the channel estimation result processing method according to any one of claims 1 to 11.
16. A chip for performing the channel estimation result processing method according to any one of claims 1 to 11.
CN202210072813.6A 2022-01-21 2022-01-21 Channel estimation result processing method, device, terminal and storage medium Active CN114389920B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202210072813.6A CN114389920B (en) 2022-01-21 2022-01-21 Channel estimation result processing method, device, terminal and storage medium
PCT/CN2022/138683 WO2023138263A1 (en) 2022-01-21 2022-12-13 Channel estimation result processing method and device, terminal and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210072813.6A CN114389920B (en) 2022-01-21 2022-01-21 Channel estimation result processing method, device, terminal and storage medium

Publications (2)

Publication Number Publication Date
CN114389920A true CN114389920A (en) 2022-04-22
CN114389920B CN114389920B (en) 2023-09-26

Family

ID=81203211

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210072813.6A Active CN114389920B (en) 2022-01-21 2022-01-21 Channel estimation result processing method, device, terminal and storage medium

Country Status (2)

Country Link
CN (1) CN114389920B (en)
WO (1) WO2023138263A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023138263A1 (en) * 2022-01-21 2023-07-27 哲库科技(北京)有限公司 Channel estimation result processing method and device, terminal and storage medium

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117014260B (en) * 2023-10-07 2024-01-02 芯迈微半导体(上海)有限公司 Loading method and loading device for channel estimation filter coefficient

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060013292A1 (en) * 2004-07-19 2006-01-19 Acorn Technologies, Inc. Use of adaptive filters in CDMA wireless systems employing pilot signals
CN101855877A (en) * 2007-11-29 2010-10-06 诺基亚公司 Recursive time-frequency channel estimation
CN102710561A (en) * 2003-11-13 2012-10-03 艾利森电话股份有限公司 Channel estimation by adaptive interpolation
CN103581065A (en) * 2012-07-27 2014-02-12 重庆重邮信科通信技术有限公司 Wiener filtering channel estimation method and device
CN110797039A (en) * 2019-08-15 2020-02-14 腾讯科技（深圳）有限公司 Voice processing method, device, terminal and medium

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8064507B1 (en) * 2008-11-24 2011-11-22 Qualcomm Atheros, Inc. System and method for channel estimation
CN103379058B (en) * 2012-04-23 2018-08-17 马维尔国际有限公司 Channel estimation methods based on Wiener filtering and device
CN114389920B (en) * 2022-01-21 2023-09-26 哲库科技(北京)有限公司 Channel estimation result processing method, device, terminal and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102710561A (en) * 2003-11-13 2012-10-03 艾利森电话股份有限公司 Channel estimation by adaptive interpolation
US20060013292A1 (en) * 2004-07-19 2006-01-19 Acorn Technologies, Inc. Use of adaptive filters in CDMA wireless systems employing pilot signals
CN101855877A (en) * 2007-11-29 2010-10-06 诺基亚公司 Recursive time-frequency channel estimation
CN103581065A (en) * 2012-07-27 2014-02-12 重庆重邮信科通信技术有限公司 Wiener filtering channel estimation method and device
CN110797039A (en) * 2019-08-15 2020-02-14 腾讯科技（深圳）有限公司 Voice processing method, device, terminal and medium

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
ETSI: "TECHNICAL REPORT Digital Video Broadcasting (DVB); Implementation guidelines for the second generation system for Broadcasting, Interactive Services, News Gathering and other broadband satellite applications; Part 1: DVB-S2" *
吴量等: "单通道混合信号盲分离算法" *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023138263A1 (en) * 2022-01-21 2023-07-27 哲库科技(北京)有限公司 Channel estimation result processing method and device, terminal and storage medium

Also Published As

Publication number Publication date
WO2023138263A1 (en) 2023-07-27
CN114389920B (en) 2023-09-26

Similar Documents

Publication Publication Date Title
WO2023138263A1 (en) Channel estimation result processing method and device, terminal and storage medium
US20130142057A1 (en) Control Channel Acquisition
CN111988848B (en) Method and communication device for indicating time slot format
CN110740008B (en) PDCCH sending and blind detection method and device
CN115553042A (en) Phase noise handling in millimeter wave communications
WO2024007786A1 (en) Signal receiving method and apparatus, and terminal, chip, storage medium and program product
WO2023241025A1 (en) Synchronization signal detection method and apparatus, terminal, storage medium, and program product
CN108347323B (en) RS generating and receiving method, terminal and base station
JP2021516475A (en) Channel transmission method, terminal equipment and network equipment
EP4213571A1 (en) Data transmission method and apparatus, and storage medium and mobile terminal
CN114598433A (en) Time domain resource configuration method and device of RO (reverse osmosis) and electronic equipment
US11848801B2 (en) Channel estimation method and apparatus, device, base station, and storage medium
CN108737051A (en) A kind of transmission method, relevant device and the system of detection reference signal SRS
CN111464474B (en) Signal transmission method and related equipment thereof
CN114465864B (en) Phase noise compensation method, apparatus, terminal, storage medium, and program product
CN112752351A (en) Method and communication device for sequence-based signal transmission
CN114124625B (en) Channel estimation method and device
CN113271197B (en) Demodulation reference signal processing method and device and electronic equipment
CN108737052B (en) Pilot frequency sending and receiving method and device
CN112583562B (en) Data transmission method and device
CN111147416B (en) Signal processing method and device of narrow-band Internet of things, storage medium and electronic equipment
CN118842562A (en) Signal interpolation method and device, equipment, chip and storage medium
CN118612018A (en) Channel estimation method and device
WO2021062724A1 (en) Data transmission method and data transmission apparatus
CN108605318B (en) Method and equipment for processing demodulation reference signal

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant