CN116318538A - Decoding control method and device - Google Patents

Decoding control method and device Download PDF

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Publication number
CN116318538A
CN116318538A CN202211695879.7A CN202211695879A CN116318538A CN 116318538 A CN116318538 A CN 116318538A CN 202211695879 A CN202211695879 A CN 202211695879A CN 116318538 A CN116318538 A CN 116318538A
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channel
noise ratio
target
signal
sub
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冯晓旭
谢薇
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Lenovo Beijing Ltd
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Lenovo Beijing Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045—Arrangements at the receiver end
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/0001—Arrangements for dividing the transmission path
    • H04L5/0003—Two-dimensional division
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058—Allocation criteria
    • H04L5/006—Quality of the received signal, e.g. BER, SNR, water filling
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058—Allocation criteria
    • H04L5/0064—Rate requirement of the data, e.g. scalable bandwidth, data priority
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The application discloses a decoding control method and device, wherein the method comprises the following steps: performing signal-to-noise ratio measurement on a target channel to obtain a signal-to-noise ratio reference table, wherein the signal-to-noise ratio reference table comprises reference signal-to-noise ratios of the target channel on sub-channels; obtaining a target signal-to-noise ratio of the target channel on a sub-channel at least according to the reference signal-to-noise ratio; processing the target signal to noise ratio according to the modulation order to obtain a scale factor; and decoding the target data transmitted by the target channel at least according to the scale factors.

Description

Decoding control method and device
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a decoding control method and apparatus.
Background
In a communication system, a physical layer uses soft information obtained by demodulation to realize decoding.
However, the signal-to-noise ratio may be different for each sub-channel due to different frequency bands in the channel, and scaling the demodulated soft information using the same signal-to-noise ratio as the scaling factor for each sub-channel may result in error of the obtained soft information, resulting in lower decoding performance.
Disclosure of Invention
In view of this, the present application provides a decoding control method and apparatus, as follows:
a decoding control method, comprising:
performing signal-to-noise ratio measurement on a target channel to obtain a signal-to-noise ratio reference table, wherein the signal-to-noise ratio reference table comprises reference signal-to-noise ratios of the target channel on sub-channels;
obtaining a target signal-to-noise ratio of the target channel on a sub-channel at least according to the reference signal-to-noise ratio;
processing the target signal to noise ratio according to the modulation order to obtain a scale factor;
and decoding the target data transmitted by the target channel at least according to the scale factors.
The method preferably obtains the target signal-to-noise ratio of the target channel on the sub-channel at least according to the reference signal-to-noise ratio, and comprises the following steps:
according to the target data transmitted by the target channel, estimating the signal-to-noise ratio of the target channel to obtain the estimated signal-to-noise ratio of the target channel on the sub-channel;
and obtaining the target signal-to-noise ratio of the target channel on the sub-channel according to the reference signal-to-noise ratio and the estimated signal-to-noise ratio.
According to the above method, preferably, the obtaining the target signal-to-noise ratio of the target channel on the sub-channel according to the reference signal-to-noise ratio and the estimated signal-to-noise ratio includes:
obtaining a difference between a maximum value and a minimum value in the estimated signal-to-noise ratio;
and processing the reference signal-to-noise ratio and the estimated signal-to-noise ratio according to the numerical range of the difference value to obtain the target signal-to-noise ratio of the target channel on the sub-channel.
Preferably, the method further includes processing the reference signal-to-noise ratio and the estimated signal-to-noise ratio according to a range of values where the difference value is located, including:
processing the estimated signal-to-noise ratio according to a first mode to obtain a target signal-to-noise ratio of the target channel on a sub-channel when the difference value is smaller than or equal to a first threshold value;
processing the estimated signal-to-noise ratio and the reference signal-to-noise ratio according to a second mode to obtain a target signal-to-noise ratio of the target channel on a sub-channel when the difference is greater than the first threshold and less than a second threshold;
and under the condition that the difference value is greater than or equal to a second threshold value, processing the estimated signal-to-noise ratio according to a third mode to obtain a target signal-to-noise ratio of the target channel on a sub-channel, wherein the third mode is different from the first mode.
In the above method, preferably, the processing the target signal-to-noise ratio according to the modulation order to obtain a scale factor includes:
processing the target signal-to-noise ratio of the target channel on the sub-channel according to the modulation order corresponding to the data demodulation algorithm to obtain the corresponding adjustment coefficient of the target channel on the sub-channel;
and processing the target signal to noise ratio by using the adjustment coefficient aiming at the sub-channel to obtain a corresponding scale factor of the target channel on the sub-channel.
According to the above method, preferably, the processing, according to the modulation order corresponding to the data demodulation algorithm, the target signal-to-noise ratio of the target channel on the sub-channel to obtain the corresponding adjustment coefficient of the target channel on the sub-channel includes:
aiming at each sub-channel of the target channel, obtaining an average value of target signal-to-noise ratios of the target channel on the sub-channels according to the number of data streams in target data transmitted by the target channel;
performing exponential operation on the average value to obtain a linear value of the target channel on a sub-channel;
and processing the linear value according to the modulation order corresponding to the data demodulation algorithm to obtain the corresponding adjustment coefficient of the target channel on the sub-channel.
In the above method, preferably, the processing the linear value according to the modulation order corresponding to the data demodulation algorithm to obtain the adjustment coefficient corresponding to the target channel on the sub-channel includes:
multiplying the modulation order corresponding to the data demodulation algorithm with the linear value to obtain a coefficient initial value corresponding to the target channel on a sub-channel;
under the condition that the coefficient initial value is smaller than a preset lower limit value, determining the lower limit value as an adjustment coefficient corresponding to the target channel on a sub-channel;
and under the condition that the coefficient initial value is larger than or equal to the lower limit value, determining the coefficient initial value as an adjustment coefficient corresponding to the target channel on a sub-channel.
In the above method, preferably, for the sub-channel, the adjusting coefficient is used to process the target signal-to-noise ratio to obtain a scaling factor corresponding to the sub-channel, where the scaling factor includes:
multiplying the adjustment coefficient by the target signal-to-noise ratio for the sub-channel to obtain a factor initial value;
under the condition that the factor initial value is larger than a preset upper limit value, determining the upper limit value as a scale factor corresponding to the target channel on a sub-channel;
and under the condition that the factor initial value is larger than or equal to the upper limit value, determining the factor initial value as a scale factor corresponding to the target channel on a sub-channel.
In the above method, preferably, the sub-channel corresponding to the reference signal-to-noise ratio is obtained by dividing the target channel according to a first bandwidth granularity;
the sub-channels corresponding to the estimated signal-to-noise ratio are obtained by dividing the target channel according to a second bandwidth granularity;
wherein the bandwidth granularity corresponding to the sub-channel corresponding to the target signal-to-noise ratio is related to the first bandwidth granularity and the second bandwidth granularity.
A decoding control apparatus comprising:
the signal-to-noise ratio measuring unit is used for measuring the signal-to-noise ratio of the target channel to obtain a signal-to-noise ratio reference table, wherein the signal-to-noise ratio reference table comprises reference signal-to-noise ratios of the target channel on the sub-channels;
the signal-to-noise ratio obtaining unit is used for obtaining the target signal-to-noise ratio of the target channel on the sub-channel at least according to the reference signal-to-noise ratio;
the factor obtaining unit is used for processing the target signal-to-noise ratio according to the modulation order to obtain a scale factor;
and the decoding processing unit is used for decoding the target data transmitted by the target channel at least according to the scale factors.
According to the technical scheme, in the decoding control method and device disclosed by the application, the target signal-to-noise ratio on each sub-channel is obtained by measuring the target channel and further using the measured reference signal-to-noise ratio, so that the obtained scale factors are used for decoding. It can be seen that, in this embodiment, compared to the case where the decoding performance is low when the estimated signal-to-noise ratio or the same signal-to-noise ratio is used for decoding each sub-channel, the decoding performance is improved by measuring the target channel and then using the measured signal-to-noise ratio as a reference to obtain the scale factor and then participate in decoding.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a decoding control method according to a first embodiment of the present application;
fig. 2-4 are partial flowcharts of a decoding control method according to a first embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a decoding control device according to a second embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of an electronic device according to a third embodiment of the present application;
fig. 7 is a flowchart of obtaining scale factors in a communication scenario suitable for 5GNR or 4GLTE in the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Referring to fig. 1, a flowchart of an implementation of a decoding control method according to an embodiment of the present application is shown, and the method may be applied to an electronic device capable of data transmission and data processing, such as a communication terminal. The technical scheme in this embodiment is mainly used for improving the decoding performance of the data transmitted by the channel.
Specifically, the method in this embodiment may include the following steps:
step 101: and performing signal-to-noise ratio measurement on the target channel to obtain a signal-to-noise ratio reference table, wherein the signal-to-noise ratio reference table comprises reference signal-to-noise ratios of the target channel on the sub-channels.
In this embodiment, the signal-to-noise ratio of the target channel may be measured by using the channel sounding reference signal SRS (Sounding Reference Signal) to obtain a plurality of signal-to-noise ratio reference tables, where each signal-to-noise ratio reference table includes a reference signal-to-noise ratio of the target channel on a corresponding sub-channel, each signal-to-noise ratio reference table corresponds to a first bandwidth granularity, and the sub-channel corresponding to each signal-to-noise ratio reference table is obtained by dividing the sub-channel by the first bandwidth granularity corresponding to the signal-to-noise ratio reference table.
Specifically, in this embodiment, the target channel may be divided into sub-channels according to a plurality of first bandwidth granularities, and then the SRS is used to measure the signal-to-noise ratio for the sub-channels divided into each first bandwidth granularity, so as to obtain the signal-to-noise ratio reference table corresponding to each first bandwidth granularity.
Step 102: and obtaining the target signal-to-noise ratio of the target channel on the sub-channel at least according to the reference signal-to-noise ratio.
In this embodiment, the reference signal-to-noise ratio may be processed, so as to obtain a target signal-to-noise ratio corresponding to the target channel on the sub-channel. The sub-channel corresponding to the target signal-to-noise ratio is a sub-channel obtained by sub-channel division of the target channel based on a third bandwidth granularity, and the third bandwidth granularity is related to the first bandwidth granularity.
Specifically, in this embodiment, the estimated signal-to-noise ratio of the target channel on the corresponding sub-channel may be combined, and the reference signal-to-noise ratio may be processed to obtain the target signal-to-noise ratio of the target channel on the corresponding sub-channel.
The target channel may be a 100RB bandwidth, where RB is a unit bandwidth, and the bandwidth granularity is represented by a plurality of unit bandwidths.
Step 103: and processing the target signal to noise ratio according to the modulation order to obtain a scale factor.
The modulation order is the modulation order corresponding to a specific data demodulation algorithm, and the data demodulation algorithm is an algorithm for demodulating target data transmitted by a target channel. Based on this, the target snr can be processed according to the data in this embodiment to obtain a scale factor, such as a scale factor.
Step 104: and decoding the target data transmitted by the target channel at least according to the scale factors.
Specifically, in this embodiment, according to the scaling factor, decoding processing may be performed on the target data transmitted by the target channel by using the soft information demodulated by the data demodulation algorithm corresponding to the modulation order, so as to obtain a decoding result.
As can be seen from the above-mentioned scheme, in the decoding control method provided in the first embodiment of the present application, the target signal-to-noise ratio on each sub-channel is obtained by measuring the target channel and further using the reference signal-to-noise ratio obtained by measurement, so that the obtained scale factor is used for decoding. It can be seen that, in this embodiment, compared to the case where the decoding performance is low when the estimated signal-to-noise ratio or the same signal-to-noise ratio is used for decoding each sub-channel, the decoding performance is improved by measuring the target channel and then using the measured signal-to-noise ratio as a reference to obtain the scale factor and then participate in decoding.
In one implementation, when the target signal-to-noise ratio of the target channel on the sub-channel is obtained at least according to the reference signal-to-noise ratio in step 102, this may be achieved as follows, as shown in fig. 2:
step 201: and estimating the signal-to-noise ratio of the target channel according to the target data transmitted by the target channel to obtain the estimated signal-to-noise ratio of the target channel on the sub-channel.
In this embodiment, the signal-to-noise ratio of the target channel is estimated according to the target data transmitted by the target channel by using the demodulation reference signal DMRS (Demodulation Reference Signal), so as to obtain the estimated signal-to-noise ratio of the target channel on each sub-channel.
It should be noted that, the sub-channel corresponding to the reference signal-to-noise ratio is obtained by dividing the target channel according to the first bandwidth granularity, and the sub-channel corresponding to the estimated signal-to-noise ratio is obtained by dividing the target channel according to the second bandwidth granularity, and the bandwidth granularity corresponding to the sub-channel corresponding to the target signal-to-noise ratio, that is, the third bandwidth granularity is related to the first bandwidth granularity and the second bandwidth granularity.
Step 202: and obtaining the target signal-to-noise ratio of the target channel on the sub-channel according to the reference signal-to-noise ratio and the estimated signal-to-noise ratio.
In this embodiment, the reference signal-to-noise ratio and the estimated signal-to-noise ratio may be processed according to the estimated signal-to-noise ratio, so as to obtain the target signal-to-noise ratio of the target channel on each sub-channel.
Specifically, in this embodiment, the target signal-to-noise ratio may be obtained as follows, as shown in fig. 3:
step 301: the difference between the maximum and minimum values in the estimated signal-to-noise ratio is obtained.
In this embodiment, the maximum value and the minimum value in the estimated signal-to-noise ratio of the target channel on each sub-channel are first screened out, and then the difference value before the maximum value and the minimum value is obtained.
Step 302: and processing the reference signal-to-noise ratio and the estimated signal-to-noise ratio according to the numerical range of the difference value to obtain the target signal-to-noise ratio of the target channel on the sub-channel.
The difference value is in different numerical ranges, and the reference signal-to-noise ratio and the estimated signal-to-noise ratio can be processed in different modes to obtain the target signal-to-noise ratio of the target channel on the sub-channel.
In one implementation, in the case where the difference is less than or equal to the first threshold, i.e., where the channel condition changes relatively slowly, the estimated signal-to-noise ratio is processed in a first manner to obtain a target signal-to-noise ratio for the target channel on the sub-channel.
For example, the first mode is: and regarding sub-channels with matched bandwidths, taking the estimated signal-to-noise ratio on each sub-channel divided by the target channel based on the second bandwidth granularity as the target signal-to-noise ratio on each sub-channel divided by the target channel based on the third bandwidth granularity, wherein the second bandwidth granularity is the same as the third bandwidth granularity.
That is, when the difference between the maximum value and the minimum value of the estimated signal-to-noise ratio of the target channel on each sub-channel divided based on the second bandwidth granularity is smaller, the estimated signal-to-noise ratio of the target channel may be used as the target signal-to-noise ratio of the target channel, and the sub-channel corresponding to the target signal-to-noise ratio is the sub-channel corresponding to the estimated signal-to-noise ratio, that is, each sub-channel divided based on the third bandwidth granularity is the sub-channel divided based on the second bandwidth granularity, and the target signal-to-noise ratio on each sub-channel is the estimated signal-to-noise ratio obtained by using the DMRS estimation.
In another implementation, where the difference is greater than the first threshold and less than the second threshold, i.e., where the channel condition changes but not too fast, the estimated signal-to-noise ratio and the reference signal-to-noise ratio are processed in a second manner to obtain a target signal-to-noise ratio for the target channel on the sub-channel.
For example, the second mode is: and processing the reference signal-to-noise ratio corresponding to the maximum first bandwidth granularity and the estimated signal-to-noise ratio corresponding to the second bandwidth granularity aiming at the sub-channels with matched bandwidths to obtain the target signal-to-noise ratio on each sub-channel divided by the target channel based on the third bandwidth granularity, wherein the third bandwidth granularity is the same as the second bandwidth granularity.
That is, in the case that the difference between the maximum value and the minimum value of the estimated signal-to-noise ratio of the target channel on each sub-channel divided based on the second bandwidth granularity is larger but moderate, the signal-to-noise ratio reference table corresponding to the maximum first bandwidth granularity can be screened out from the plurality of signal-to-noise ratio reference tables, and then the reference signal-to-noise ratio on each sub-channel in the screened signal-to-noise ratio reference table and the estimated signal-to-noise ratio on the sub-channel with the matched bandwidth are processed to obtain the target signal-to-noise ratio on the corresponding sub-channel.
Specifically, in the second mode, the reference signal-to-noise ratio corresponding to the maximum first bandwidth granularity and the estimated signal-to-noise ratio corresponding to the second bandwidth granularity may be weighted and summed according to the corresponding weights, so as to obtain the target signal-to-noise ratio on each sub-channel divided by the target channel based on the third bandwidth granularity. Wherein the reference signal-to-noise ratio corresponds to a first weight, the estimated signal-to-noise ratio corresponds to a second weight, the first weight and the second weight are added to 1, and the second weight may be greater than the first weight.
In another implementation, in a case where the difference is greater than or equal to the second threshold, that is, in a case where the channel condition varies drastically, the estimated snr is processed in a third manner, so as to obtain a target snr of the target channel on the sub-channel, where the third manner is different from the first manner.
For example, the third mode is: according to the demodulation reference signal, performing signal-to-noise ratio estimation on target data transmitted by a target channel by using a fourth bandwidth granularity to obtain estimated signal-to-noise ratios on each sub-channel divided by the target channel based on the fourth bandwidth granularity; wherein the difference between estimated signal-to-noise ratios on adjacent sub-channels divided by the target channel based on the fourth bandwidth granularity is greater than a first threshold and less than a second threshold; processing the reference signal-to-noise ratio corresponding to the fifth bandwidth granularity and the estimated signal-to-noise ratio corresponding to the fourth bandwidth granularity aiming at the sub-channels with the matched bandwidths to obtain the target signal-to-noise ratio on each sub-channel divided by the target channel based on the third bandwidth granularity, wherein the third bandwidth granularity is the same as the fourth bandwidth granularity; and the fifth bandwidth granularity matches the fourth bandwidth granularity, e.g., the fifth bandwidth granularity is the same as the fourth bandwidth granularity, or the granularity difference between the fifth bandwidth granularity and the fourth bandwidth granularity is less than the granularity number threshold.
That is, in this embodiment, the new bandwidth granularity may be used to re-perform signal-to-noise ratio estimation on the target channel, for example, in this embodiment, starting from the maximum bandwidth granularity, the signal-to-noise ratio of the target channel on each sub-channel is estimated until the difference between the estimated signal-to-noise ratios on adjacent sub-channels can be reduced to be smaller than the second threshold under the selected bandwidth granularity, the selected bandwidth granularity is denoted as the fourth bandwidth granularity, then, the signal-to-noise ratio reference table corresponding to the fifth bandwidth granularity, which is matched with the sub-channel corresponding to the fourth bandwidth granularity, is selected from the multiple signal-to-noise ratio reference tables, and then the reference signal-to-noise ratio on each sub-channel in the selected signal-to-noise ratio reference table and the estimated signal-to-noise ratio on the sub-channel divided based on the fourth bandwidth granularity are processed, so as to obtain the target signal-to-noise ratio on each sub-channel divided based on the third bandwidth granularity, where the third bandwidth granularity is the fourth bandwidth granularity.
Specifically, in the third mode, the reference signal-to-noise ratio corresponding to the fifth bandwidth granularity and the estimated signal-to-noise ratio corresponding to the fourth bandwidth granularity may be weighted and summed according to the corresponding weights, so as to obtain the target signal-to-noise ratio on each sub-channel divided by the target channel based on the third bandwidth granularity.
Wherein, the sub-channels with matched bandwidths refer to: the frequency bands corresponding to the sub-channels at least partially overlap.
In one implementation, step 103, when processing the target snr according to the modulation order to obtain a scaling factor, may be implemented as follows, as shown in fig. 4:
step 401: processing the target signal-to-noise ratio of the target channel on the sub-channel according to the modulation order corresponding to the data demodulation algorithm to obtain the corresponding adjustment coefficient of the target channel on the sub-channel;
for example, in this embodiment, the target signal-to-noise ratio of the target channel on each sub-channel divided based on the third bandwidth granularity may be processed according to the modulation order corresponding to the data demodulation algorithm, so as to obtain the adjustment coefficient of the target channel on each sub-channel divided based on the third bandwidth granularity.
Step 402: and processing the target signal to noise ratio by using the adjustment coefficient aiming at the sub-channel to obtain the corresponding scale factor of the target channel on the sub-channel.
Specifically, in step 402, when the adjustment coefficient is used to process the target signal-to-noise ratio for the sub-channel to obtain the scale factor corresponding to the sub-channel, the method may be implemented as follows:
firstly, multiplying an adjustment coefficient by a target signal-to-noise ratio for a sub-channel to obtain a factor initial value;
then, under the condition that the initial value of the factor is larger than a preset upper limit value, determining the upper limit value as a corresponding scale factor of the target channel on the sub-channel; and determining the factor initial value as a corresponding scale factor of the target channel on the sub-channel under the condition that the factor initial value is greater than or equal to the upper limit value. Thus, the obtained scale factor does not exceed the upper limit value.
In one implementation, when the adjustment coefficient is obtained in step 401, this may be achieved by:
first, for each sub-channel of the target channel, an average value of target signal-to-noise ratios of the target channel on the sub-channels is obtained according to the number of data streams in the target data transmitted by the target channel. For example, the target signal-to-noise ratio on each subchannel is averaged by the number of antennas (one for each data stream).
And then, carrying out exponential operation on the average value to obtain the linear value of the target channel on the sub-channel. For example, the average value is taken as a log value, which is a corresponding linear value.
And finally, processing the linear value according to the modulation order corresponding to the data demodulation algorithm to obtain the corresponding adjustment coefficient of the target channel on the sub-channel. For example, in this embodiment, the modulation order corresponding to the data demodulation algorithm may be multiplied by the linear value to obtain the initial value of the coefficient corresponding to the target channel on the sub-channel, and based on this, when the initial value of the coefficient is smaller than the preset lower limit value, the lower limit value is determined as the adjustment coefficient corresponding to the target channel on the sub-channel; and when the coefficient initial value is greater than or equal to the lower limit value, determining the coefficient initial value as an adjustment coefficient corresponding to the target channel on the sub-channel. Thus, the obtained adjustment coefficient is not lower than the lower limit value.
Therefore, in this embodiment, the target signal-to-noise ratio is dynamically adjusted by adjusting the bandwidth granularity of sub-channel division of the target channel, and further, a more accurate scale factor is obtained according to the dynamically adjusted target signal-to-noise ratio, so that the decoding performance of decoding based on the scale factor is further improved.
Referring to fig. 5, a schematic structural diagram of a decoding control device according to a second embodiment of the present application may be configured in an electronic device capable of data transmission and data processing. The technical scheme in this embodiment is mainly used for improving the decoding performance of the data transmitted by the channel.
Specifically, the apparatus in this embodiment may include the following units:
a signal-to-noise ratio measurement unit 501, configured to perform signal-to-noise ratio measurement on a target channel, so as to obtain a signal-to-noise ratio reference table, where the signal-to-noise ratio reference table includes reference signal-to-noise ratios of the target channel on sub-channels;
a signal-to-noise ratio obtaining unit 502, configured to obtain a target signal-to-noise ratio of the target channel on a subchannel according to at least the reference signal-to-noise ratio;
a factor obtaining unit 503, configured to process the target signal-to-noise ratio according to the modulation order, so as to obtain a scale factor;
and a decoding processing unit 504, configured to perform decoding processing on the target data transmitted by the target channel at least according to the scale factor.
As can be seen from the above-mentioned scheme, in the decoding control device provided in the second embodiment of the present application, the target signal-to-noise ratio on each sub-channel is obtained by measuring the target channel and further using the reference signal-to-noise ratio obtained by measurement, so that the decoding is performed by using the scale factor obtained by the measurement. It can be seen that, in this embodiment, compared to the case where the decoding performance is low when the estimated signal-to-noise ratio or the same signal-to-noise ratio is used for decoding each sub-channel, the decoding performance is improved by measuring the target channel and then using the measured signal-to-noise ratio as a reference to obtain the scale factor and then participate in decoding.
In one implementation, the signal-to-noise ratio obtaining unit 502 is specifically configured to: according to the target data transmitted by the target channel, estimating the signal-to-noise ratio of the target channel to obtain the estimated signal-to-noise ratio of the target channel on the sub-channel; and obtaining the target signal-to-noise ratio of the target channel on the sub-channel according to the reference signal-to-noise ratio and the estimated signal-to-noise ratio.
Specifically, the snr obtaining unit 502 is specifically configured to, when obtaining the target snr of the target channel on the sub-channel according to the reference snr and the estimated snr: obtaining a difference between a maximum value and a minimum value in the estimated signal-to-noise ratio; and processing the reference signal-to-noise ratio and the estimated signal-to-noise ratio according to the numerical range of the difference value to obtain the target signal-to-noise ratio of the target channel on the sub-channel.
Further, the snr obtaining unit 502 is specifically configured to, when processing the reference snr and the estimated snr according to the range of values where the difference value is located: processing the estimated signal-to-noise ratio according to a first mode to obtain a target signal-to-noise ratio of the target channel on a sub-channel when the difference value is smaller than or equal to a first threshold value; processing the estimated signal-to-noise ratio and the reference signal-to-noise ratio according to a second mode to obtain a target signal-to-noise ratio of the target channel on a sub-channel when the difference is greater than the first threshold and less than a second threshold; and under the condition that the difference value is greater than or equal to a second threshold value, processing the estimated signal-to-noise ratio according to a third mode to obtain a target signal-to-noise ratio of the target channel on a sub-channel, wherein the third mode is different from the first mode.
In one implementation, the factor obtaining unit 503 is specifically configured to: processing the target signal-to-noise ratio of the target channel on the sub-channel according to the modulation order corresponding to the data demodulation algorithm to obtain the corresponding adjustment coefficient of the target channel on the sub-channel; and processing the target signal to noise ratio by using the adjustment coefficient aiming at the sub-channel to obtain a corresponding scale factor of the target channel on the sub-channel.
Specifically, when the factor obtaining unit 503 processes the target signal-to-noise ratio of the target channel on the sub-channel according to the modulation order corresponding to the data demodulation algorithm to obtain the adjustment coefficient corresponding to the target channel on the sub-channel, the factor obtaining unit is specifically configured to: aiming at each sub-channel of the target channel, obtaining an average value of target signal-to-noise ratios of the target channel on the sub-channels according to the number of data streams in target data transmitted by the target channel; performing exponential operation on the average value to obtain a linear value of the target channel on a sub-channel; and processing the linear value according to the modulation order corresponding to the data demodulation algorithm to obtain the corresponding adjustment coefficient of the target channel on the sub-channel.
Further, when the factor obtaining unit 503 processes the linear value according to the modulation order corresponding to the data demodulation algorithm to obtain the adjustment coefficient corresponding to the target channel on the sub-channel, the factor obtaining unit is specifically configured to: multiplying the modulation order corresponding to the data demodulation algorithm with the linear value to obtain a coefficient initial value corresponding to the target channel on a sub-channel; under the condition that the coefficient initial value is smaller than a preset lower limit value, determining the lower limit value as an adjustment coefficient corresponding to the target channel on a sub-channel; and under the condition that the coefficient initial value is larger than or equal to the lower limit value, determining the coefficient initial value as an adjustment coefficient corresponding to the target channel on a sub-channel.
Specifically, when the factor obtaining unit 503 processes, for the sub-channel, the target signal-to-noise ratio by using the adjustment coefficient to obtain a scale factor corresponding to the sub-channel, the factor obtaining unit is specifically configured to: multiplying the adjustment coefficient by the target signal-to-noise ratio for the sub-channel to obtain a factor initial value; under the condition that the factor initial value is larger than a preset upper limit value, determining the upper limit value as a scale factor corresponding to the target channel on a sub-channel; and under the condition that the factor initial value is larger than or equal to the upper limit value, determining the factor initial value as a scale factor corresponding to the target channel on a sub-channel.
In one implementation manner, the sub-channel corresponding to the reference signal-to-noise ratio is obtained by dividing the target channel according to a first bandwidth granularity; the sub-channels corresponding to the estimated signal-to-noise ratio are obtained by dividing the target channel according to a second bandwidth granularity; wherein the bandwidth granularity corresponding to the sub-channel corresponding to the target signal-to-noise ratio is related to the first bandwidth granularity and the second bandwidth granularity.
It should be noted that, the specific implementation of each unit in this embodiment may refer to the corresponding content in the foregoing, which is not described in detail herein.
Referring to fig. 6, a schematic structural diagram of an electronic device according to a third embodiment of the present application is provided, and the technical solution in this embodiment is mainly used to improve decoding performance of data transmitted by a channel.
Specifically, the electronic device may include the following structure:
a memory 601 for storing a computer program and data generated by the execution of the computer program;
a processor 602 for executing a computer program to implement: performing signal-to-noise ratio measurement on a target channel to obtain a signal-to-noise ratio reference table, wherein the signal-to-noise ratio reference table comprises reference signal-to-noise ratios of the target channel on sub-channels; obtaining a target signal-to-noise ratio of the target channel on a sub-channel at least according to the reference signal-to-noise ratio; processing the target signal to noise ratio according to the modulation order to obtain a scale factor; and decoding the target data transmitted by the target channel at least according to the scale factors.
As can be seen from the above solution, in the electronic device provided in the third embodiment of the present application, the target signal-to-noise ratio on each sub-channel is obtained by measuring the target channel and further using the reference signal-to-noise ratio obtained by measurement, so that the obtained scale factor is used for decoding. It can be seen that, in this embodiment, compared to the case where the decoding performance is low when the estimated signal-to-noise ratio or the same signal-to-noise ratio is used for decoding each sub-channel, the decoding performance is improved by measuring the target channel and then using the measured signal-to-noise ratio as a reference to obtain the scale factor and then participate in decoding.
Taking a communication scene based on 5GNR or 4GLTE as an example, a physical layer between a base station and a communication terminal generally demodulates the complex result after equalization to obtain corresponding soft information, and then uses the soft information to complete decoding. Demodulation is a statistical process due to the effects of noise; in demodulation, considering the influence of noise, the real part or the imaginary part result after equalization falls in a certain interval, and the probability value that the corresponding bit is 0 or 1 is soft information obtained by demodulation; a common demodulation algorithm is to calculate its log likelihood ratio LLR (Log Likelihood Ratio) using a criterion based on maximum a posteriori probability.
For example, the soft information demodulation formula of the first bit of 64QAM is shown as formula (1):
Figure BDA0004023432980000141
wherein the method comprises the steps of
Figure BDA0004023432980000142
Is a normalization factor; />
Figure BDA0004023432980000143
Variance values subject to gaussian noise; r is (r) x The real part of the complex signal after equalization. llr 0 Is a soft information probability.
As can be seen from the above formula, the noise variance scales the calculation result, and affects the decoding performance of the soft information after demodulation. In the demodulation process, each soft message has
Figure BDA0004023432980000144
A value that cannot be eliminated and that is negligible; however, as the modulation order increases, the effect of this factor increases gradually. An SNR (SIGNAL-NOISE RATIO) value is typically calculated after baseband equalization as a scale factor, i.e., a scaling factor, for improving the decoding performance of the receiver.
Based on this, in the prior art, SNR estimation is performed by using the symbol where the DMRS is located, that is, noise power is calculated according to the frequency domain response of channel estimation of each stream, the DMRS frequency domain sequence of the known transmitting end and the DMRS frequency domain sequence of the receiving end; and calculating signal power according to the noise power, and further obtaining the SNR estimated value of the symbol where the DMRS of each stream is located. The SNR estimate is taken as the SNR estimate for the entire slot.
However, this solution has the disadvantage that:
1. for a time-frequency two-dimensional fast-varying channel, the SNR value of a data symbol may be different from the SNR estimated value of the symbol where the DMRS is located, and the SNR estimated values of different RBs in the same symbol are also different, and the same SNR value is applied to soft information scale, which may cause error in demodulating soft information and degradation of decoding performance.
2. When SNR is used as a scale factor, the modulation scheme of the data signal is not considered. When the modulation modes of the data and the DMRS are different, the improvement of the decoding performance of the receiver is limited.
In order to solve the above problems and limitations of the existing algorithm, the inventor of the present application proposes a method for dynamically adjusting scale factors based on priori SNR information and combined with modulation orders and SNR estimation, so as to further optimize and improve decoding performance of a receiver. The success rate of decoding the communication signal is improved under the condition of low SNR or after a time-frequency two-dimensional fast-changing channel.
Based on the above description, the scheme is designed as follows:
1) And measuring the SNR value of the system bandwidth by using the SRS reference signal, and generating a plurality of time-frequency two-dimensional SNR reference tables according to the SNR value of the system bandwidth. Each time-frequency two-dimensional SNR reference table has the same time domain and corresponds to the same SRS symbol; the frequency domain is divided according to different RB granularities, and the RB granularities are from large to small.
2) And for the frequency domain data (i.e., target data) of the slot of the physical uplink shared channel PUSCH (Physical Uplink Shared Channel) currently received, estimating the SNR values of the sub-channels by using the symbols where the DMRS is located, and counting the maximum and minimum SNR values in all the sub-channels.
If the difference between the two is smaller than the first threshold, the channel condition is considered to change slowly, and the whole slot is subjected to subsequent processing according to the SNR estimated by the DMRS.
If the difference between the two is larger than the first threshold value and smaller than the second threshold value, the channel condition is considered to have rapid change, and the SNR value of the data symbol is calculated in an iterative mode by combining the current channel estimation result and utilizing the maximum RB granularity in the SRS reference table.
If the difference between the two is larger than the second threshold value, the channel is considered to be changed drastically; at this time, the RB granularity of the DMRS needs to be re-divided, i.e. re-estimated, until the difference between the SNR estimated by two adjacent sub-channels corresponding to the same RB granularity is between the first threshold and the second threshold; at this time, looking up the SNR reference table of SRS, finding the SNR value of similar RB granularity, and iteratively calculating the SNR value of the data symbol. For example, the SNR values are weighted summed.
3) The scale factor required in demodulation is dynamically adjusted based on different granularity SNR estimates per symbol in each stream: as shown in fig. 7, first, the average dB value of SNR is obtained from the number of streams (per Layer) for SNR, denoted by avg_snr; converting the average dB value into a Linear value, which is expressed by Avg_snr Linear; multiplying the linear value by the weight (LLrMedia n_qm) of the modulation order, and ensuring that the result is not lower than a dynamic lower limit, namely obtaining an adjustment coefficient LIrAdjF of the dynamic linear value after lower limit control; the coefficient is multiplied by a linear SNR estimation value (SNR Linear per Layer) of each stream, and then subjected to upper limit control to obtain a dynamic adjustment scale factor. The factor must not exceed the upper limit.
Therefore, in the technical scheme of the application, the SNR of the data symbol is estimated according to the SNR measurement result of the SRS channel, the granularity of the RB can be dynamically adjusted, and the dynamic scale factor is calculated according to the SNR estimation. Specifically, in the present application, data symbol SNR measurement is implemented by combining a plurality of physical channel measurement results, and a dynamic scale factor is calculated by combining a modulation order, and further, soft information decoding performance is optimized by adopting the dynamic scale factor.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A decoding control method, comprising:
performing signal-to-noise ratio measurement on a target channel to obtain a signal-to-noise ratio reference table, wherein the signal-to-noise ratio reference table comprises reference signal-to-noise ratios of the target channel on sub-channels;
obtaining a target signal-to-noise ratio of the target channel on a sub-channel at least according to the reference signal-to-noise ratio;
processing the target signal to noise ratio according to the modulation order to obtain a scale factor;
and decoding the target data transmitted by the target channel at least according to the scale factors.
2. The method of claim 1, obtaining a target signal-to-noise ratio for the target channel on a subchannel based at least on the reference signal-to-noise ratio, comprising:
according to the target data transmitted by the target channel, estimating the signal-to-noise ratio of the target channel to obtain the estimated signal-to-noise ratio of the target channel on the sub-channel;
and obtaining the target signal-to-noise ratio of the target channel on the sub-channel according to the reference signal-to-noise ratio and the estimated signal-to-noise ratio.
3. The method of claim 2, obtaining a target signal-to-noise ratio for the target channel on a subchannel based on the reference signal-to-noise ratio and the estimated signal-to-noise ratio, comprising:
obtaining a difference between a maximum value and a minimum value in the estimated signal-to-noise ratio;
and processing the reference signal-to-noise ratio and the estimated signal-to-noise ratio according to the numerical range of the difference value to obtain the target signal-to-noise ratio of the target channel on the sub-channel.
4. A method according to claim 3, wherein processing the reference signal-to-noise ratio and the estimated signal-to-noise ratio according to a range of values in which the difference lies comprises:
processing the estimated signal-to-noise ratio according to a first mode to obtain a target signal-to-noise ratio of the target channel on a sub-channel when the difference value is smaller than or equal to a first threshold value;
processing the estimated signal-to-noise ratio and the reference signal-to-noise ratio according to a second mode to obtain a target signal-to-noise ratio of the target channel on a sub-channel when the difference is greater than the first threshold and less than a second threshold;
and under the condition that the difference value is greater than or equal to a second threshold value, processing the estimated signal-to-noise ratio according to a third mode to obtain a target signal-to-noise ratio of the target channel on a sub-channel, wherein the third mode is different from the first mode.
5. The method according to claim 1 or 2, processing the target signal-to-noise ratio according to a modulation order to obtain a scale factor, comprising:
processing the target signal-to-noise ratio of the target channel on the sub-channel according to the modulation order corresponding to the data demodulation algorithm to obtain the corresponding adjustment coefficient of the target channel on the sub-channel;
and processing the target signal to noise ratio by using the adjustment coefficient aiming at the sub-channel to obtain a corresponding scale factor of the target channel on the sub-channel.
6. The method according to claim 5, wherein the processing the target signal-to-noise ratio of the target channel on the sub-channel according to the modulation order corresponding to the data demodulation algorithm to obtain the corresponding adjustment coefficient of the target channel on the sub-channel comprises:
aiming at each sub-channel of the target channel, obtaining an average value of target signal-to-noise ratios of the target channel on the sub-channels according to the number of data streams in target data transmitted by the target channel;
performing exponential operation on the average value to obtain a linear value of the target channel on a sub-channel;
and processing the linear value according to the modulation order corresponding to the data demodulation algorithm to obtain the corresponding adjustment coefficient of the target channel on the sub-channel.
7. The method of claim 6, wherein the processing the linear value according to the modulation order corresponding to the data demodulation algorithm to obtain the adjustment coefficient corresponding to the target channel on the sub-channel comprises:
multiplying the modulation order corresponding to the data demodulation algorithm with the linear value to obtain a coefficient initial value corresponding to the target channel on a sub-channel;
under the condition that the coefficient initial value is smaller than a preset lower limit value, determining the lower limit value as an adjustment coefficient corresponding to the target channel on a sub-channel;
and under the condition that the coefficient initial value is larger than or equal to the lower limit value, determining the coefficient initial value as an adjustment coefficient corresponding to the target channel on a sub-channel.
8. The method of claim 5, wherein processing the target signal-to-noise ratio for the sub-channel using the adjustment factor to obtain a scaling factor for the target channel on the sub-channel, comprises:
multiplying the adjustment coefficient by the target signal-to-noise ratio for the sub-channel to obtain a factor initial value;
under the condition that the factor initial value is larger than a preset upper limit value, determining the upper limit value as a scale factor corresponding to the target channel on a sub-channel;
and under the condition that the factor initial value is larger than or equal to the upper limit value, determining the factor initial value as a scale factor corresponding to the target channel on a sub-channel.
9. The method of claim 2, wherein the sub-channels corresponding to the reference signal-to-noise ratio are obtained by dividing the target channel according to a first bandwidth granularity;
the sub-channels corresponding to the estimated signal-to-noise ratio are obtained by dividing the target channel according to a second bandwidth granularity;
wherein the bandwidth granularity corresponding to the sub-channel corresponding to the target signal-to-noise ratio is related to the first bandwidth granularity and the second bandwidth granularity.
10. A decoding control apparatus comprising:
the signal-to-noise ratio measuring unit is used for measuring the signal-to-noise ratio of the target channel to obtain a signal-to-noise ratio reference table, wherein the signal-to-noise ratio reference table comprises reference signal-to-noise ratios of the target channel on the sub-channels;
the signal-to-noise ratio obtaining unit is used for obtaining the target signal-to-noise ratio of the target channel on the sub-channel at least according to the reference signal-to-noise ratio;
the factor obtaining unit is used for processing the target signal-to-noise ratio according to the modulation order to obtain a scale factor;
and the decoding processing unit is used for decoding the target data transmitted by the target channel at least according to the scale factors.
CN202211695879.7A 2022-12-28 2022-12-28 Decoding control method and device Pending CN116318538A (en)

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