CN111211850B - Noise estimation method, apparatus, base station device, and computer-readable storage medium - Google Patents

Noise estimation method, apparatus, base station device, and computer-readable storage medium Download PDF

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CN111211850B
CN111211850B CN201911423018.1A CN201911423018A CN111211850B CN 111211850 B CN111211850 B CN 111211850B CN 201911423018 A CN201911423018 A CN 201911423018A CN 111211850 B CN111211850 B CN 111211850B
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noise
power
noise estimation
time domain
srs
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CN111211850A (en
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孙文鹏
刘重军
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Comba Network Systems Co Ltd
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Comba Network Systems Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]

Abstract

The application relates to a noise estimation method, a noise estimation device, a base station device and a computer readable storage medium. The noise estimation method comprises the following steps: detecting a channel multiplexing mode of a target terminal according to a received channel Sounding Reference Signal (SRS); the channel multiplexing mode is code division multiplexing or frequency division multiplexing; if the channel multiplexing mode of the target terminal is code division multiplexing, acquiring the code division channel noise power corresponding to the target terminal based on the SRS and a first noise estimation rule; the first noise estimation rule is determined according to a time domain noise estimation variable and an idle subcarrier noise estimation variable; if the channel multiplexing mode of the target terminal is frequency division multiplexing, acquiring the frequency division channel noise power corresponding to the target terminal based on the SRS and a second noise estimation rule; the second noise estimation rule is determined from a power spectrum noise estimation variable. By adopting the method, the noise estimation accuracy of the base station equipment can be improved.

Description

Noise estimation method, apparatus, base station device, and computer-readable storage medium
Technical Field
The present invention relates to the field of mobile communications technologies, and in particular, to a noise estimation method, apparatus, base station device, and computer-readable storage medium.
Background
SNR (Signal-Noise Ratio) is an important parameter for measuring channel quality, and is of great significance to adaptive control, frequency selective scheduling, diversity reception and the like of a link. The SNR is obtained by the ratio of user power to noise power.
In mobile communication, it is often necessary to estimate noise power using SRS (Sounding Reference Signal) to obtain SNR. At present, a noise estimation method based on SRS is: and after a time domain power spectrogram corresponding to the SRS is obtained, setting a noise threshold, counting all powers larger than the noise threshold in the time domain power spectrogram as user powers, and counting all powers smaller than the noise threshold in the time domain power spectrogram as noise powers.
However, in the conventional technology, for various terminals, the base station device acquires the noise power by using the noise estimation method, and the accuracy of noise estimation is low, so that the SNR estimation is inaccurate, and an accurate SNR reference cannot be provided for resource scheduling configuration of the base station device.
Disclosure of Invention
In view of the above, it is necessary to provide a noise estimation method, apparatus, base station device and computer readable storage medium capable of improving the noise estimation accuracy of the base station device.
In a first aspect, an embodiment of the present application provides a noise estimation method, where the noise estimation method includes:
detecting a channel multiplexing mode of a target terminal according to a received channel Sounding Reference Signal (SRS); the channel multiplexing mode is code division multiplexing or frequency division multiplexing;
if the channel multiplexing mode of the target terminal is code division multiplexing, acquiring the code division channel noise power corresponding to the target terminal based on the SRS and a first noise estimation rule; the first noise estimation rule is determined according to a time domain noise estimation variable and an idle subcarrier noise estimation variable;
if the channel multiplexing mode of the target terminal is frequency division multiplexing, acquiring the frequency division channel noise power corresponding to the target terminal based on the SRS and a second noise estimation rule; the second noise estimation rule is determined from a power spectrum noise estimation variable.
In one embodiment, the obtaining, based on the SRS and the first noise estimation rule, the code division channel noise power corresponding to the target terminal includes:
acquiring weight coefficients corresponding to the time domain noise estimation variable and the idle subcarrier noise estimation variable respectively according to channel environment parameters;
respectively acquiring a first noise power value corresponding to the time domain noise estimation variable and a second noise power value corresponding to the idle subcarrier noise estimation variable according to the SRS;
and calculating to obtain the code division channel noise power corresponding to the target terminal according to the first noise power value, the second noise power value and each weight coefficient.
In one embodiment, the process of obtaining the first noise power value corresponding to the time domain noise estimation variable according to the SRS includes:
extracting a code division SRS sequence from a frequency domain signal corresponding to the SRS;
acquiring a first time domain power spectrogram corresponding to the code division SRS sequence;
and acquiring a first noise power value corresponding to the time domain noise estimation variable according to the first time domain power spectrogram.
In one embodiment, the obtaining, according to the first time domain power spectrogram, a first noise power value corresponding to the time domain noise estimation variable includes:
determining the number of user windows in the first time domain power spectrogram; the user windows correspond to terminals for sending the SRS one by one, and the terminals at least comprise the target terminals;
according to the number of the user windows, removing power distribution points in the user windows and adjacent windows with preset lengths adjacent to the user windows in the first time domain power spectrogram;
and counting the noise power corresponding to the remaining power distribution points in the first time domain power spectrogram, and acquiring a first noise power value corresponding to the time domain noise estimation variable based on the counted noise power.
In one embodiment, the removing, in the first time domain power spectrogram according to the number of the user windows, power distribution points in the user window and in an adjacent window with a preset length adjacent to the user window includes:
if the first time domain power spectrogram comprises a user window, removing power distribution points in the user window and an adjacent window with a preset length adjacent to the user window in the first time domain power spectrogram.
In one embodiment, the removing, in the first time domain power spectrogram according to the number of the user windows, power distribution points in the user window and in an adjacent window with a preset length adjacent to the user window includes:
and if the first time domain power spectrogram comprises a plurality of user windows which are continuous, removing power distribution points in the user windows and adjacent windows with preset lengths adjacent to the user windows.
In one embodiment, the removing, in the first time domain power spectrogram according to the number of the user windows, power distribution points in the user window and in an adjacent window with a preset length adjacent to the user window includes:
and if the first time domain power spectrogram comprises a plurality of user windows which are distributed at intervals, removing power distribution points in each user window and adjacent windows with preset lengths adjacent to each user window.
In one embodiment, the process of acquiring the second noise power value corresponding to the idle subcarrier noise estimation variable according to the SRS includes:
extracting idle subcarriers from the frequency domain signal corresponding to the SRS;
acquiring a second time domain power spectrogram corresponding to the idle sub-carrier;
and counting the noise power corresponding to the power distribution point in the second time domain power spectrogram, and acquiring a second noise power value corresponding to the idle subcarrier noise estimation variable based on the counted noise power.
In one embodiment, the obtaining, based on the SRS and the second noise estimation rule, a frequency division channel noise power corresponding to the target terminal includes:
extracting a frequency-division SRS sequence from a frequency domain signal corresponding to the SRS;
acquiring a third time domain power spectrogram corresponding to the frequency-division SRS sequence;
acquiring a third noise power value corresponding to the power spectrum noise estimation variable according to the third time domain power spectrogram;
and acquiring the frequency division channel noise power based on the third noise power value.
In one embodiment, the obtaining, according to the third time-domain power spectrum, a third noise power value corresponding to the power spectrum noise estimation variable includes:
in the third time domain power spectrogram, removing power distribution points in a target user window corresponding to the target terminal and in a neighboring window with a preset length adjacent to the target user window;
and counting the noise power corresponding to the remaining power distribution points in the third time domain power spectrogram to obtain a third noise power value corresponding to the power spectrum noise estimation variable.
In one embodiment, the detecting a channel multiplexing mode of a target terminal according to a received channel sounding reference signal SRS includes:
converting the SRS to a frequency domain signal;
detecting whether the power difference between adjacent subcarriers in the frequency domain signal is larger than a preset threshold value or not;
if the power difference between the adjacent subcarriers is larger than a preset threshold value, determining that the channel multiplexing mode of the target terminal is code division multiplexing;
otherwise, determining that the channel multiplexing mode of the target terminal is frequency division multiplexing.
In a second aspect, an embodiment of the present application provides a noise estimation apparatus, including:
the detection module is used for detecting the channel multiplexing mode of the target terminal according to the received SRS; the channel multiplexing mode is code division multiplexing or frequency division multiplexing;
a first noise estimation module, configured to, if a channel multiplexing mode of the target terminal is code division multiplexing, obtain, based on the SRS and a first noise estimation rule, a code division channel noise power corresponding to the target terminal; the first noise estimation rule is determined according to a time domain noise estimation variable and an idle subcarrier noise estimation variable;
a second noise estimation module, configured to, if a channel multiplexing mode of the target terminal is frequency division multiplexing, obtain a frequency division channel noise power corresponding to the target terminal based on the SRS and a second noise estimation rule; the second noise estimation rule is determined from a power spectrum noise estimation variable.
In a third aspect, an embodiment of the present application provides a base station device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method according to the first aspect when executing the computer program.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method according to the first aspect.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
detecting a channel multiplexing mode of a target terminal by detecting a reference signal SRS received; the channel multiplexing mode is code division multiplexing or frequency division multiplexing; if the channel multiplexing mode of the target terminal is code division multiplexing, acquiring the code division channel noise power corresponding to the target terminal based on the SRS and a first noise estimation rule; the first noise estimation rule is determined according to a time domain noise estimation variable and an idle subcarrier noise estimation variable; if the channel multiplexing mode of the target terminal is frequency division multiplexing, acquiring the frequency division channel noise power corresponding to the target terminal based on the SRS and a second noise estimation rule; the second noise estimation rule is determined from a power spectrum noise estimation variable; therefore, for terminals adopting different channel multiplexing modes, the base station equipment adopts a corresponding noise estimation rule to obtain channel noise power; the method and the device solve the problem that in the prior art, the base station equipment carries out noise estimation on the terminals in different channel multiplexing modes only based on a noise estimation method, so that the accuracy of the noise estimation is low, the SNR estimation of the base station equipment is inaccurate, and the realization of the scheduling function of the base station equipment based on the SNR is influenced. According to the method and the device, the noise estimation accuracy of the base station equipment in the 5G uplink is improved, so that the SNR estimation accuracy of the base station equipment is improved, and the base station equipment is favorable for realizing functions such as frequency scheduling according to the SNR.
Drawings
FIG. 1 is a flow diagram illustrating a method for noise estimation according to an embodiment;
FIG. 2 is a flow diagram illustrating a method for noise estimation according to an embodiment;
fig. 3 is a schematic diagram illustrating a process of acquiring a first noise power value by a base station device according to an SRS in an embodiment;
FIG. 4 is a frequency-domain position distribution diagram of a frequency-domain signal corresponding to an SRS;
FIG. 5 is a diagram illustrating a refinement of step S223 in one embodiment;
FIG. 6 is a schematic diagram illustrating a distribution of user windows in a first time-domain power spectrogram, according to an embodiment;
FIG. 7 is a schematic diagram illustrating a distribution of user windows in a first time-domain power spectrogram, according to an embodiment;
fig. 8 is a schematic diagram illustrating a process of acquiring, by a base station device according to an SRS, a second noise power value in an embodiment;
FIG. 9 is a flow diagram illustrating a method for noise estimation according to an embodiment;
FIG. 10 is a diagram illustrating a refinement of step S330 in one embodiment;
FIG. 11 is a flowchart illustrating a noise estimation method according to an embodiment;
fig. 12 is a block diagram of a noise estimation apparatus according to an embodiment.
Fig. 13 is an internal structural diagram of a base station device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The noise estimation method, the noise estimation device, the base station equipment and the computer readable storage medium provided by the embodiment of the application aim to solve the technical problem that the noise estimation accuracy of the base station equipment is low in the traditional technology. The following describes in detail the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems by embodiments and with reference to the drawings. The following specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
In the noise estimation method provided by the embodiment of the present application, an execution subject may be a noise estimation apparatus, and the noise estimation apparatus may be implemented as part or all of the base station equipment in a software, hardware, or a combination of software and hardware. In the following method embodiments, the execution subject is a base station device as an example.
Referring to fig. 1, which shows a flowchart of a noise estimation method provided in an embodiment of the present application, as shown in fig. 1, the noise estimation method of the present embodiment may include the following steps:
step S100, detecting the channel multiplexing mode of the target terminal according to the received channel sounding reference signal SRS.
The channel multiplexing mode is code division multiplexing or frequency division multiplexing.
Code Division Multiplexing (CDM) is a Multiplexing method for distinguishing original signals by different codes, and each terminal can perform communication using the same frequency band at the same time. Frequency Division Multiplexing (FDM) is different channels divided according to Frequency, and a terminal occupies a certain Frequency band during communication all the time after being allocated to the Frequency band.
In this embodiment, a base station device receives an SRS (Sounding Reference signal) sent by a terminal, where the SRS may be sent by a target terminal or sent by multiple terminals including the target terminal at the same time, and the base station device detects that a channel multiplexing mode of the target terminal is code division multiplexing or frequency division multiplexing according to the SRS.
The SRS is distributed in a comb shape in the frequency domain, and the base station device converts the received original SRS into a frequency domain signal, and determines the channel multiplexing mode of the target terminal by determining the power of different subcarriers of the frequency domain signal.
Specifically, if the power difference between adjacent subcarriers is large, it is determined that the channel multiplexing mode of the target terminal is code division multiplexing; and if the power difference of the adjacent subcarriers is smaller or equal, determining that the channel multiplexing mode of the target terminal is frequency division multiplexing.
Step S200, if the channel multiplexing mode of the target terminal is code division multiplexing, based on the SRS and the first noise estimation rule, the code division channel noise power corresponding to the target terminal is obtained.
The first noise estimation rule is determined based on a time domain noise estimation variable and an idle subcarrier noise estimation variable.
If the channel multiplexing mode of the target terminal is code division multiplexing, the frequency domain signal corresponding to the SRS includes an idle subcarrier, and the base station device adopts an idle subcarrier estimation mode, specifically, the base station device obtains power transmitted in the idle subcarrier and uses the obtained power as a noise power value corresponding to an idle subcarrier noise estimation variable.
Further, the base station device obtains a noise power value corresponding to the time domain noise estimation variable by using a time domain noise estimation method, specifically, the base station device obtains a time domain power spectrogram corresponding to the SRS, removes the user power in the user window and a neighboring window adjacent to the user window from the time domain power spectrogram, and then counts the remaining power in the time domain power spectrogram to obtain the noise power value corresponding to the time domain noise estimation variable.
After the base station device obtains the noise power value corresponding to the idle subcarrier noise estimation variable and the noise power value corresponding to the time domain noise estimation variable, the base station device respectively assigns weighting coefficients to the noise power value corresponding to the idle subcarrier noise estimation variable and the noise power value corresponding to the time domain noise estimation variable according to the current channel environment, then weights and sums the values, and the code division channel noise power corresponding to the target terminal is obtained after summation.
In this embodiment, the base station device is preset with a mapping table of a channel environment and a weight coefficient, and searches the mapping table for a weight coefficient corresponding to an idle subcarrier noise estimation variable and a weight coefficient corresponding to a time domain noise estimation variable according to the current channel environment.
It can be understood that, for different channel environments, the accuracy of the estimated noise power is different in the time domain noise estimation manner and the idle subcarrier estimation manner. In order to improve the accuracy of the code division channel noise power obtained after weighted summation, the base station equipment sets the weight coefficients corresponding to the time domain noise estimation variable and the idle subcarrier noise estimation variable respectively for different channel environments by performing actual measurement and simulation in different channel environments.
The value range of each weight coefficient is [0,1], and the sum of the weight coefficients of the time domain noise estimation variable and the idle subcarrier noise estimation variable is 1. That is, for different channel environments, if the accuracy of the time domain noise estimation mode is low and the accuracy of the idle subcarrier estimation mode is high, the weight coefficient of the time domain noise estimation variable is set to 0, and the weight coefficient of the idle subcarrier noise estimation variable is set to 1; conversely, if the accuracy of the time domain noise estimation mode is high and the accuracy of the idle subcarrier estimation mode is low, setting the weight coefficient of the time domain noise estimation variable to 1 and setting the weight coefficient of the idle subcarrier noise estimation variable to 0; further, if the noise estimation accuracy of the time domain noise estimation mode is equivalent to that of the idle subcarrier estimation mode, respective weighting coefficients are assigned to the time domain noise estimation variable and the idle subcarrier noise estimation variable between (0,1) to improve the accuracy of the code division channel noise power.
Step S300, if the channel multiplexing mode of the target terminal is frequency division multiplexing, acquiring a frequency division channel noise power corresponding to the target terminal based on the SRS and the second noise estimation rule.
The second noise estimation rule is determined from the power spectrum noise estimation variable.
And if the channel multiplexing mode of the target terminal is frequency division multiplexing, the base station equipment acquires a time domain power spectrogram corresponding to the SRS by adopting a time domain noise estimation mode. The base station device removes user power in a user window and a neighboring window adjacent to the user window from a time domain power spectrogram corresponding to the SRS, counts residual power in the time domain power spectrogram to obtain a noise power value corresponding to a power spectrum noise estimation variable, and obtains a frequency division channel noise power corresponding to a target terminal based on the noise power value corresponding to the power spectrum noise estimation variable.
In the 5G uplink, it is often necessary to estimate the noise power by using the SRS to obtain the SNR, and the base station device then implements the functions such as resource scheduling configuration according to the estimated SNR. In the conventional technology, a method for estimating noise by setting a noise threshold value has low noise estimation accuracy, so that SNR estimation is inaccurate, and an accurate SNR reference cannot be provided for resource scheduling configuration of a base station device. In the embodiment, a channel multiplexing mode of a target terminal is detected according to a received channel Sounding Reference Signal (SRS); the channel multiplexing mode is code division multiplexing or frequency division multiplexing; if the channel multiplexing mode of the target terminal is code division multiplexing, acquiring the code division channel noise power corresponding to the target terminal based on the SRS and the first noise estimation rule; the first noise estimation rule is determined according to a time domain noise estimation variable and an idle subcarrier noise estimation variable; if the channel multiplexing mode of the target terminal is frequency division multiplexing, acquiring the frequency division channel noise power corresponding to the target terminal based on the SRS and the second noise estimation rule; the second noise estimation rule is determined according to the power spectrum noise estimation variable; therefore, for terminals adopting different channel multiplexing modes, the base station equipment adopts a corresponding noise estimation rule to obtain channel noise power; the method and the device solve the problem that in the prior art, the base station equipment carries out noise estimation on the terminals in different channel multiplexing modes only based on a noise estimation method, so that the accuracy of the noise estimation is low, the SNR estimation of the base station equipment is inaccurate, and the realization of the scheduling function of the base station equipment based on the SNR is influenced. According to the embodiment, the noise estimation accuracy of the base station equipment is improved, so that the SNR estimation accuracy of the base station equipment is improved, and the base station equipment is favorable for realizing functions such as frequency scheduling according to the SNR.
Fig. 2 is a flowchart of a noise estimation method according to another embodiment, based on the embodiment shown in fig. 1, as shown in fig. 2, in the noise estimation method according to this embodiment, step S200 specifically includes step S210, step S220, and step S230, specifically:
step S210, if the channel multiplexing mode of the target terminal is code division multiplexing, obtaining the weight coefficients corresponding to the time domain noise estimation variable and the idle subcarrier noise estimation variable respectively according to the channel environment parameter.
And the base station equipment searches the weight coefficients corresponding to the time domain noise estimation variable and the idle subcarrier noise estimation variable respectively in the current channel environment in a mapping table of the preset channel environment and the weight coefficients according to the current channel environment parameters.
The channel environment is different according to the position of the target terminal; for example, a relatively open environment such as a playground, an indoor environment such as an office, a person-intensive environment such as a concert, and the like. In this embodiment, as an implementation manner, if the base station device does not find the current channel environment in the mapping table, one channel environment closest to the current channel environment is selected to obtain the weight coefficients corresponding to the time domain noise estimation variable and the idle subcarrier noise estimation variable respectively.
Step S220, according to the SRS, a first noise power value corresponding to the time domain noise estimation variable and a second noise power value corresponding to the idle sub-carrier noise estimation variable are respectively obtained.
The base station equipment acquires a first noise power value corresponding to the time domain noise estimation variable according to the SRS; specifically, the base station device obtains a time domain power spectrogram corresponding to the SRS, removes user power in a user window and a neighboring window adjacent to the user window from the time domain power spectrogram, and counts remaining power in the time domain power spectrogram to obtain a first noise power value corresponding to the time domain noise estimation variable.
The base station equipment acquires a second noise power value corresponding to the idle subcarrier noise estimation variable according to the SRS; specifically, the base station device counts the power transmitted in the idle sub-carrier in the frequency domain signal corresponding to the SRS, and uses the counted power as the second noise power value corresponding to the idle sub-carrier noise estimation variable.
Step S230, calculating to obtain the noise power of the code division channel corresponding to the target terminal according to the first noise power value, the second noise power value and each weight coefficient.
See equation 1 below:
Pn＝a*Pa+b*Pbequation 1
Wherein, PnPresentation codePower of sub-channel noise, PaRepresenting a time-domain noise estimate variable, PbRepresenting the idle sub-carrier noise estimation variables, and a and b respectively represent corresponding weight coefficients.
After obtaining the first noise power value, the second noise power value and each weight coefficient, the base station device substitutes the obtained values into formula 1 to obtain the noise power P of the code division channeln. In this embodiment, in combination with the accuracy of the time domain noise estimation mode and the idle subcarrier estimation mode, corresponding weight coefficients are assigned to the first noise power value and the second noise power value obtained by adopting different noise estimation modes, so that the data accuracy of the code division channel noise power is improved.
Based on the embodiment shown in fig. 2, referring to fig. 3, fig. 3 is a schematic process diagram of acquiring a first noise power value corresponding to a time domain noise estimation variable according to an SRS in another embodiment. As shown in fig. 3, the process of acquiring the first noise power value by the base station device according to the SRS in this embodiment includes step S221, step S222, and step S223, specifically:
step S221 extracts a code-division SRS sequence from the frequency domain signal corresponding to the SRS.
In this embodiment, after receiving the SRS, the base station device converts the SRS into a frequency domain signal, and extracts a code division SRS sequence from the frequency domain signal.
Specifically, the frequency domain signal is distributed in a comb shape, as shown in fig. 4, fig. 4 is a frequency domain position distribution diagram of the frequency domain signal corresponding to the SRS. The base station equipment can know the corresponding physical resource mapping position of the code division SRS sequence in the frequency domain signal according to the parameter configuration, and after acquiring the frequency domain starting position, the length of the code division SRS sequence and the extraction interval, the base station equipment extracts the code division SRS sequence from the frequency domain signal at the extraction interval.
Step S222, a first time domain power spectrogram corresponding to the code division SRS sequence is obtained.
The base station equipment locally generates an SRS reference signal, conjugate multiplication is carried out on the generated SRS reference signal and the extracted code-division SRS sequence, namely LS (Least-Square) channel estimation is carried out, an IDFT (Inverse Discrete Fourier Transform) is carried out on an obtained channel estimation value, and a first time domain power spectrogram corresponding to the code-division SRS sequence is obtained.
Step S223, obtaining a first noise power value corresponding to the time domain noise estimation variable according to the first time domain power spectrogram.
And the base station equipment acquires a first noise power value corresponding to the time domain noise estimation variable from the first time domain power spectrogram.
As an embodiment, referring to fig. 5, fig. 5 is a schematic diagram of a detailed step of step S223, and as shown in fig. 5, step S223 includes step S223a, step S223b, and step S223c, specifically:
step S223a, determining the number of user windows in the first time domain power spectrogram.
The user windows correspond to terminals for sending SRS one to one, and the terminals at least comprise target terminals.
The base station equipment determines the number of terminals for sending the SRS through the number of power spectrum peak values in the first time domain power spectrogram, namely the number of user windows; the SRS may be transmitted by the target terminal to the base station device; the SRS may be transmitted from a plurality of terminals to the base station apparatus, and the target terminal may be any one of the plurality of terminals.
Step S223b, according to the number of the user windows, removing power distribution points in the user window and in an adjacent window with a preset length adjacent to the user window in the first time domain power spectrogram.
In this embodiment, the base station device removes, in the first time domain power spectrogram, power distribution points in the user window and in an adjacent window of a preset length adjacent to the user window according to the number of the user windows. Specifically, the method comprises the following steps:
1) if the first time domain power spectrogram comprises a user window, removing power distribution points in the user window and an adjacent window with a preset length adjacent to the user window in the first time domain power spectrogram.
If only one power spectrum peak value exists in the first time domain power spectrogram, the base station equipment determines that the SRS is independently sent to the base station equipment by the target terminal, and one user window included in the first time domain power spectrogram is the user window of the target terminal.
And the base station device removes the power distribution points in the user window and the adjacent window with the preset length adjacent to the user window in the first time domain power spectrogram. It can be understood that the power distribution point within the user window is the distribution point corresponding to the user power.
In this embodiment, to avoid power leakage due to a multipath effect and avoid a situation where a noise estimation error is large, the base station device removes a power distribution point in a neighboring window of the preset length as a leakage part of the user power, and the preset length may be set according to a situation of the user power leakage in actual implementation. Thus, the accuracy of noise estimation is improved.
2) If the first time domain power spectrogram comprises a plurality of user windows which are continuous, removing power distribution points in the user windows and adjacent windows with preset lengths adjacent to the user windows.
Referring to fig. 6, fig. 6 is a schematic diagram illustrating a distribution of a plurality of user windows when the first time domain power spectrum includes the user windows and the user windows are consecutive.
And the base station equipment removes the power distribution points in the multiple continuous user windows and removes the power distribution points in adjacent windows with preset lengths adjacent to the multiple continuous user windows. The preset length can be set according to the power leakage condition in practical implementation. Thus, the accuracy of noise estimation is improved.
3) And if the first time domain power spectrogram comprises a plurality of user windows which are distributed at intervals, removing power distribution points in each user window and adjacent windows with preset lengths adjacent to each user window.
Referring to fig. 7, fig. 7 is a schematic diagram of a distribution of user windows when the first time domain power spectrogram includes a plurality of user windows and the user windows are distributed at intervals.
And the base station equipment removes power distribution points in each user window in a plurality of user windows distributed at intervals and removes power distribution points in adjacent windows with preset lengths adjacent to each user window. The power distribution points in the adjacent window with the preset length adjacent to each user window are leakage power of user power in the corresponding user window, and the preset length can be set according to the power leakage condition in actual implementation. Thus, the accuracy of noise estimation is improved.
Step S223c, counting noise powers corresponding to the remaining power distribution points in the first time domain power spectrogram, and acquiring a first noise power value corresponding to the time domain noise estimation variable based on the counted noise powers.
In this embodiment, in order to improve the data accuracy of the first noise power value and further improve the accuracy of the code division channel noise power corresponding to the target terminal, refer to formula 2:
Pa＝a1*Pa1+a2*Pa2equation 2
Wherein, Pa1The simulation noise value obtained by carrying out multiple times of simulation on the current code division channel environment for the base station equipment is used for making up the error of the noise estimation value, Pa2Counting the noise power corresponding to the remaining power distribution points in the first time domain power spectrogram, and the obtained statistical noise power value a1，a2All are set coefficients, so that the statistical noise power value is subjected to error correction through the simulation noise value to obtain PaThen it is the first noise power value.
Through the implementation of the embodiment, the data accuracy of the first noise power value obtained by the base station device according to the first time domain power spectrogram can be improved, and the accuracy of the frequency division channel noise power corresponding to the target terminal is further improved.
Based on the embodiment shown in fig. 2, referring to fig. 8, fig. 8 is a schematic diagram illustrating a process of acquiring a second noise power value according to SRS in another embodiment. As shown in fig. 8, the process of acquiring the second noise power value corresponding to the idle subcarrier noise estimation variable according to the SRS in the present embodiment includes step S224, step S225, and step S226, specifically:
step S224 extracts an idle subcarrier from the frequency domain signal corresponding to the SRS.
In this embodiment, after receiving the SRS, the base station device converts the SRS into a frequency domain signal, and extracts the idle subcarriers from the frequency domain signal. The specific extraction mode is similar to the mode of extracting the code-division SRS sequence from the frequency domain signal corresponding to the SRS by the base station device, the idle subcarriers and the subcarriers carrying the service data are distributed at intervals, and the base station device can extract the idle subcarriers by staggering the extraction positions based on the mode of extracting the code-division SRS sequence from the frequency domain signal corresponding to the SRS, which is not described herein again.
Step S225, a second time domain power spectrogram corresponding to the idle sub-carrier is obtained.
And the base station equipment locally generates an SRS reference signal, and performs conjugate multiplication on the generated SRS reference signal and the extracted idle sub-carrier, and performs IDFT on the obtained channel estimation value to obtain a second time domain power spectrogram corresponding to the idle sub-carrier.
Step S226, counting the noise power corresponding to the power distribution point in the second time domain power spectrogram, and acquiring a second noise power value corresponding to the idle subcarrier noise estimation variable based on the counted noise power.
And because no user data exists on the idle sub-carrier, the base station equipment counts the noise power corresponding to all the power distribution points in the second time domain power spectrogram to obtain the statistical noise power value of the idle sub-carrier.
In this embodiment, in order to improve the data accuracy of the second noise power value and further improve the accuracy of the code division channel noise power corresponding to the target terminal, refer to formula 3:
Pb＝b1*Pb1+b2*Pb2equation 3
Wherein, Pb1The simulation noise value obtained by carrying out multiple times of simulation on the current channel environment for the base station equipment is used for making up the error of the idle subcarrier statistical noise power value, Pb2I.e. the above obtained idle sub-carrier statistical noise power value, b1，b2All the parameters are set coefficients, so that the error correction is carried out on the idle sub-carrier statistical noise power value through the simulation noise value to obtain PbThen it is the second noise power value.
Through the embodiment, the data accuracy of the second noise power value obtained by the base station device according to the second time domain power spectrogram can be improved, and the accuracy of the frequency division channel noise power corresponding to the target terminal is improved.
Fig. 9 is a flowchart of a noise estimation method according to another embodiment, based on the embodiment shown in fig. 1, as shown in fig. 9, in the noise estimation method according to this embodiment, step S300 includes step S310, step S320, step S330, and step S340, specifically:
step S310 extracts a frequency-division SRS sequence from the frequency-domain signal corresponding to the SRS.
The frequency domain signal corresponding to the SRS is distributed in a comb shape, the base station equipment can know the corresponding physical resource mapping position of the frequency-division SRS sequence in the frequency domain signal according to parameter configuration, and after the base station equipment acquires the frequency domain starting position, the length of the frequency-division SRS sequence and the extraction interval, the frequency-division SRS sequence is extracted from the frequency domain signal at the extraction interval.
Step S320, a third time domain power spectrogram corresponding to the frequency-division SRS sequence is obtained.
And the base station equipment locally generates an SRS reference signal, performs conjugate multiplication on the generated SRS reference signal and the extracted frequency-division SRS sequence, namely LS channel estimation, performs inverse discrete Fourier transform on the obtained channel estimation value, and obtains a third time domain power spectrogram corresponding to the frequency-division SRS sequence during frequency division multiplexing.
Step S330, a third noise power value corresponding to the power spectrum noise estimation variable is obtained according to the third time domain power spectrogram.
Referring to fig. 10, fig. 10 is a schematic diagram of a refinement step of step S330, and as shown in fig. 10, step S330 includes step S331 and step S332, specifically:
step S331, in the third time domain power spectrogram, removing power distribution points in a target user window corresponding to the target terminal and in an adjacent window of a preset length adjacent to the target user window.
It can be understood that, in frequency division multiplexing, different channels are divided according to frequency, and after a terminal is divided into a certain frequency band, the terminal occupies the frequency band all the time in the communication process, i.e. the channels of the terminals are independent.
And if the base station receives the SRS sent by the target terminal, only the target user window of the target terminal exists in the third time domain power spectrogram.
The base station device removes power distribution points in a target user window corresponding to the target terminal and a proximity window with a preset length adjacent to the target user window, wherein the power distribution points in the target user window are distribution points corresponding to user power, and the power distribution points in the proximity window with the preset length adjacent to the target user window are leaked user power. The condition of large noise estimation error caused by power leakage due to multipath effect is avoided, and the accuracy of noise estimation is improved.
Step S332, counting the noise power corresponding to the remaining power distribution points in the third time domain power spectrogram to obtain a third noise power value corresponding to the power spectrum noise estimation variable.
And the base station equipment counts the noise power corresponding to the residual power distribution points in the third time domain power spectrogram to obtain a third noise power value corresponding to the power spectrum noise estimation variable.
Step S340, acquiring a noise power of the frequency division channel based on the third noise power value.
The frequency division channel noise power can be calculated by equation 4:
Pc＝c1*Pc1+c2*Pc2equation 4
Wherein, Pc1Simulating noise value obtained by carrying out multiple times of simulation on current frequency division channel environment for base station equipment to make up for Pc2An error in value; pc2A third noise power value corresponding to the power spectrum noise estimation variable is obtained by the base station equipment counting the noise power corresponding to the remaining power distribution point in the third time domain power spectrogram; c. C1，c2Are all set coefficients, whereby P is passedc1To Pc2Correcting error, and summing to obtain PcThe data accuracy of the frequency division channel noise power is improved for the frequency division channel noise power, and further the SNR estimation of the base station equipment is improvedAnd the accuracy is measured, and the base station equipment is favorable for realizing functions such as frequency scheduling according to the SNR.
Fig. 11 is a flowchart of a noise estimation method according to another embodiment, based on the embodiment shown in fig. 1, as shown in fig. 11, in the noise estimation method according to this embodiment, step S100 includes step S110, step S120, step S130, and step S140, specifically:
step S110 converts the SRS into a frequency domain signal.
Step S120, detecting whether the power difference between adjacent subcarriers in the frequency domain signal is larger than a preset threshold value.
In this embodiment, the computer device calculates whether the power difference of each adjacent subcarrier is greater than a preset threshold; for example, the frequency domain signal includes A, B, C, D four subcarriers, and the computer device calculates whether the power differences between a and B, B and C, C and D are each greater than a preset threshold.
Step S130, if the power difference between adjacent subcarriers is greater than the preset threshold, it is determined that the channel multiplexing mode of the target terminal is code division multiplexing.
And if the power difference between the adjacent subcarriers is larger than a preset threshold value, determining that the channel multiplexing mode of the target terminal is code division multiplexing.
Step S140, if the power difference between adjacent subcarriers is not greater than the preset threshold, it is determined that the channel multiplexing mode of the target terminal is frequency division multiplexing.
And if the power difference between the adjacent subcarriers has a difference value not larger than a preset threshold value, determining that the channel multiplexing mode of the target terminal is code division multiplexing.
In this embodiment, after receiving the SRS, the base station device converts the SRS into a frequency domain signal, and since the SRS is distributed in a comb shape in the frequency domain, the base station device determines the channel multiplexing mode of the target terminal by detecting whether the power difference between adjacent subcarriers in the frequency domain signal is greater than a preset threshold. And if the power difference between the adjacent subcarriers is larger than a preset threshold value, indicating that idle subcarriers exist in the frequency domain signal, and determining that the channel multiplexing mode of the target terminal is code division multiplexing. And if the power difference between the adjacent subcarriers is not greater than the preset threshold, the subcarriers in the frequency domain signal are all service data, and the channel multiplexing mode of the target terminal is determined to be frequency division multiplexing.
Therefore, after the channel multiplexing mode of the target terminal is determined, if the channel multiplexing mode of the target terminal is code division multiplexing, the base station equipment acquires the code division channel noise power corresponding to the target terminal based on the SRS and the first noise estimation rule; and if the channel multiplexing mode of the target terminal is frequency division multiplexing, the base station equipment acquires the frequency division channel noise power corresponding to the target terminal based on the SRS and the second noise estimation rule. For terminals with different channel multiplexing modes, the base station equipment of the embodiment acquires the channel noise power by adopting different noise estimation rules, so that the data accuracy of the channel noise power is improved.
It should be understood that, although the steps in the above-described flowcharts are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the above-described flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 12, there is provided a noise estimation apparatus including:
a detection module 10, configured to detect a channel multiplexing mode of a target terminal according to a received channel sounding reference signal SRS; the channel multiplexing mode is code division multiplexing or frequency division multiplexing;
a first noise estimation module 20, configured to, if the channel multiplexing mode of the target terminal is code division multiplexing, obtain a code division channel noise power corresponding to the target terminal based on the SRS and a first noise estimation rule; the first noise estimation rule is determined according to a time domain noise estimation variable and an idle subcarrier noise estimation variable;
a second noise estimation module 30, configured to, if the channel multiplexing mode of the target terminal is frequency division multiplexing, obtain a frequency division channel noise power corresponding to the target terminal based on the SRS and a second noise estimation rule; the second noise estimation rule is determined from a power spectrum noise estimation variable.
Optionally, the first noise estimation module 20 includes:
the first obtaining submodule is used for obtaining weight coefficients corresponding to the time domain noise estimation variable and the idle subcarrier noise estimation variable respectively according to the channel environment parameters;
a second obtaining sub-module, configured to obtain, according to the SRS, a first noise power value corresponding to the time domain noise estimation variable and a second noise power value corresponding to the idle subcarrier noise estimation variable, respectively;
and the calculating submodule is used for calculating the code division channel noise power corresponding to the target terminal according to the first noise power value, the second noise power value and each weight coefficient.
Optionally, the second obtaining sub-module includes:
a first extraction unit, configured to extract a code-division SRS sequence from a frequency-domain signal corresponding to the SRS;
a first obtaining unit, configured to obtain a first time domain power spectrogram corresponding to the code division SRS sequence;
and the second obtaining unit is used for obtaining a first noise power value corresponding to the time domain noise estimation variable according to the first time domain power spectrogram.
Optionally, the second obtaining unit includes:
a determining subunit, configured to determine the number of user windows in the first time domain power spectrogram; the user windows correspond to terminals for sending the SRS one by one, and the terminals at least comprise the target terminals;
a removing subunit, configured to remove, in the first time domain power spectrogram, power distribution points in the user window and in an adjacent window of a preset length adjacent to the user window according to the number of the user windows;
and the counting subunit is configured to count noise powers corresponding to remaining power distribution points in the first time domain power spectrum, and obtain a first noise power value corresponding to the time domain noise estimation variable based on the counted noise powers.
Optionally, the removing subunit is further configured to, if the first time-domain power spectrogram includes one user window, remove, in the first time-domain power spectrogram, power distribution points in the one user window and in an adjacent window of a preset length adjacent to the one user window.
Optionally, the removing subunit is further configured to:
and if the first time domain power spectrogram comprises a plurality of user windows which are continuous, removing power distribution points in the user windows and adjacent windows with preset lengths adjacent to the user windows.
Optionally, the removing subunit is further configured to:
and if the first time domain power spectrogram comprises a plurality of user windows which are distributed at intervals, removing power distribution points in each user window and in adjacent windows with preset lengths adjacent to each user window.
Optionally, the second obtaining sub-module further includes:
a second extraction unit, configured to extract an idle subcarrier from the frequency domain signal corresponding to the SRS;
a third obtaining unit, configured to obtain a second time domain power spectrogram corresponding to the idle subcarrier;
and the first statistical unit is used for counting the noise power corresponding to the power distribution point in the second time domain power spectrogram and acquiring a second noise power value corresponding to the idle subcarrier noise estimation variable based on the counted noise power.
Optionally, the second noise estimation module 30 includes:
an extraction sub-module, configured to extract a frequency-division SRS sequence from a frequency-domain signal corresponding to the SRS;
a third obtaining sub-module, configured to obtain a third time domain power spectrogram corresponding to the frequency-division SRS sequence;
a fourth obtaining sub-module, configured to obtain, according to the third time domain power spectrum, a third noise power value corresponding to the power spectrum noise estimation variable;
and the fifth obtaining submodule is used for obtaining the noise power of the frequency division channel based on the third noise power value.
Optionally, the fourth obtaining sub-module includes:
a removing unit, configured to remove, in the third time domain power spectrogram, power distribution points in a target user window corresponding to the target terminal and in a neighboring window of a preset length adjacent to the target user window;
and the second statistical unit is used for counting the noise power corresponding to the remaining power distribution points in the third time domain power spectrogram to obtain a third noise power value corresponding to the power spectrum noise estimation variable.
Optionally, the detection module 10 includes:
a conversion sub-module for converting the SRS to a frequency domain signal;
the detection submodule is used for detecting whether the power difference between adjacent subcarriers in the frequency domain signal is larger than a preset threshold value or not;
the first determining submodule is used for determining that the channel multiplexing mode of the target terminal is code division multiplexing if the power difference between adjacent subcarriers is larger than a preset threshold;
and a second determining submodule, configured to determine that the channel multiplexing mode of the target terminal is frequency division multiplexing if the channel multiplexing mode of the target terminal is not frequency division multiplexing.
The noise estimation apparatus provided in this embodiment may implement the noise estimation method embodiment, and the implementation principle and the technical effect are similar, which are not described herein again.
For the specific definition of the noise estimation apparatus, reference may be made to the above definition of the noise estimation method, which is not described herein again. The various modules in the noise estimation apparatus described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a base station apparatus is provided, an internal structure diagram of which may be as shown in fig. 13. The base station device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the base station device is configured to provide computing and control capabilities. The memory of the base station device includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the base station device is used for storing noise estimation data. The network interface of the base station apparatus is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a noise estimation method.
Those skilled in the art will appreciate that the structure shown in fig. 13 is a block diagram of only a part of the structure related to the present application, and does not constitute a limitation of the base station apparatus to which the present application is applied, and a specific base station apparatus may include more or less components than those shown in the figure, or combine some components, or have a different arrangement of components.
In one embodiment, there is provided a base station device comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program implementing the steps of:
detecting a channel multiplexing mode of a target terminal according to a received channel Sounding Reference Signal (SRS); the channel multiplexing mode is code division multiplexing or frequency division multiplexing; if the channel multiplexing mode of the target terminal is code division multiplexing, acquiring the code division channel noise power corresponding to the target terminal based on the SRS and a first noise estimation rule; the first noise estimation rule is determined according to a time domain noise estimation variable and an idle subcarrier noise estimation variable; if the channel multiplexing mode of the target terminal is frequency division multiplexing, acquiring the frequency division channel noise power corresponding to the target terminal based on the SRS and a second noise estimation rule; the second noise estimation rule is determined from a power spectrum noise estimation variable.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Ramb microsecond direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
detecting a channel multiplexing mode of a target terminal according to a received channel Sounding Reference Signal (SRS); the channel multiplexing mode is code division multiplexing or frequency division multiplexing; if the channel multiplexing mode of the target terminal is code division multiplexing, acquiring the code division channel noise power corresponding to the target terminal based on the SRS and a first noise estimation rule; the first noise estimation rule is determined according to a time domain noise estimation variable and an idle subcarrier noise estimation variable; if the channel multiplexing mode of the target terminal is frequency division multiplexing, acquiring the frequency division channel noise power corresponding to the target terminal based on the SRS and a second noise estimation rule; the second noise estimation rule is determined from a power spectrum noise estimation variable.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (13)

1. A method of noise estimation, the method comprising:
detecting a channel multiplexing mode of a target terminal according to a received channel Sounding Reference Signal (SRS); the channel multiplexing mode is code division multiplexing or frequency division multiplexing;
if the channel multiplexing mode of the target terminal is code division multiplexing, acquiring weight coefficients corresponding to a time domain noise estimation variable and an idle subcarrier noise estimation variable respectively according to channel environment parameters, acquiring a first noise power value corresponding to the time domain noise estimation variable and a second noise power value corresponding to the idle subcarrier noise estimation variable respectively according to the SRS, and calculating to obtain the code division channel noise power corresponding to the target terminal according to the first noise power value, the second noise power value and each weight coefficient;
if the channel multiplexing mode of the target terminal is frequency division multiplexing, acquiring the frequency division channel noise power corresponding to the target terminal based on the SRS and a second noise estimation rule; the second noise estimation rule is determined from a power spectrum noise estimation variable.
2. The method according to claim 1, wherein the step of obtaining the first noise power value corresponding to the time domain noise estimation variable according to the SRS comprises:
extracting a code division SRS sequence from a frequency domain signal corresponding to the SRS;
acquiring a first time domain power spectrogram corresponding to the code division SRS sequence;
and acquiring a first noise power value corresponding to the time domain noise estimation variable according to the first time domain power spectrogram.
3. The noise estimation method according to claim 2, wherein the obtaining, according to the first time domain power spectrogram, a first noise power value corresponding to the time domain noise estimation variable includes:
determining the number of user windows in the first time domain power spectrogram; the user windows correspond to terminals for sending the SRS one by one, and the terminals at least comprise the target terminals;
according to the number of the user windows, removing power distribution points in the user windows and adjacent windows with preset lengths adjacent to the user windows in the first time domain power spectrogram;
and counting the noise power corresponding to the remaining power distribution points in the first time domain power spectrogram, and acquiring a first noise power value corresponding to the time domain noise estimation variable based on the counted noise power.
4. The method according to claim 3, wherein the removing, in the first time domain power spectrogram according to the number of the user windows, the power distribution points within the user window and within an adjacent window of a preset length adjacent to the user window comprises:
and if the first time domain power spectrogram comprises one user window, removing power distribution points in the user window and a nearby window with a preset length adjacent to the user window in the first time domain power spectrogram.
5. The method according to claim 3, wherein the removing, in the first time domain power spectrogram according to the number of the user windows, the power distribution points within the user window and within an adjacent window of a preset length adjacent to the user window comprises:
and if the first time domain power spectrogram comprises a plurality of user windows which are continuous, removing power distribution points in the user windows and adjacent windows with preset lengths adjacent to the user windows.
6. The method according to claim 3, wherein the removing, in the first time domain power spectrogram according to the number of the user windows, the power distribution points within the user window and within an adjacent window of a preset length adjacent to the user window comprises:
and if the first time domain power spectrogram comprises a plurality of user windows which are distributed at intervals, removing power distribution points in each user window and adjacent windows with preset lengths adjacent to each user window.
7. The method of claim 1, wherein the step of obtaining the second noise power value corresponding to the idle subcarrier noise estimation variable according to the SRS comprises:
extracting idle subcarriers from the frequency domain signal corresponding to the SRS;
acquiring a second time domain power spectrogram corresponding to the idle sub-carrier;
and counting the noise power corresponding to the power distribution point in the second time domain power spectrogram, and acquiring a second noise power value corresponding to the idle subcarrier noise estimation variable based on the counted noise power.
8. The method of claim 1, wherein the obtaining the power of the frequency division channel noise corresponding to the target terminal based on the SRS and a second noise estimation rule comprises:
extracting a frequency-division SRS sequence from a frequency domain signal corresponding to the SRS;
acquiring a third time domain power spectrogram corresponding to the frequency-division SRS sequence;
acquiring a third noise power value corresponding to the power spectrum noise estimation variable according to the third time domain power spectrogram;
and acquiring the frequency division channel noise power based on the third noise power value.
9. The noise estimation method according to claim 8, wherein the obtaining, according to the third time-domain power spectrogram, a third noise power value corresponding to the power spectrum noise estimation variable includes:
in the third time domain power spectrogram, removing power distribution points in a target user window corresponding to the target terminal and in a neighboring window with a preset length adjacent to the target user window;
and counting the noise power corresponding to the remaining power distribution points in the third time domain power spectrogram to obtain a third noise power value corresponding to the power spectrum noise estimation variable.
10. The noise estimation method according to claim 1, wherein the detecting a channel multiplexing mode of a target terminal according to the received SRS, comprises:
converting the SRS to a frequency domain signal;
detecting whether the power difference between adjacent subcarriers in the frequency domain signal is larger than a preset threshold value or not;
if the power difference between the adjacent subcarriers is larger than a preset threshold value, determining that the channel multiplexing mode of the target terminal is code division multiplexing;
otherwise, determining that the channel multiplexing mode of the target terminal is frequency division multiplexing.
11. A noise estimation apparatus, characterized in that the apparatus comprises:
the detection module is used for detecting the channel multiplexing mode of the target terminal according to the received SRS; the channel multiplexing mode is code division multiplexing or frequency division multiplexing;
a first noise estimation module, configured to, if the channel multiplexing mode of the target terminal is code division multiplexing, the first noise estimation module includes:
the first obtaining submodule is used for obtaining weight coefficients corresponding to a time domain noise estimation variable and an idle subcarrier noise estimation variable respectively according to the channel environment parameters;
a second obtaining submodule, configured to obtain, according to the SRS, a first noise power value corresponding to the time domain noise estimation variable and a second noise power value corresponding to the idle subcarrier noise estimation variable respectively;
the calculating submodule is used for calculating and obtaining the noise power of the code division channel corresponding to the target terminal according to the first noise power value, the second noise power value and each weight coefficient;
a second noise estimation module, configured to, if a channel multiplexing mode of the target terminal is frequency division multiplexing, obtain a frequency division channel noise power corresponding to the target terminal based on the SRS and a second noise estimation rule; the second noise estimation rule is determined from a power spectrum noise estimation variable.
12. A base station device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any of claims 1 to 10 when executing the computer program.
13. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 10.
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