CN115051899A - Frequency offset estimation method and device and computer readable storage medium - Google Patents
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Abstract
A frequency offset estimation method, a device and a computer-readable storage medium are provided, wherein the method comprises the following steps: obtaining a current frequency offset range and candidate frequency offset estimation values obtained by using different time intervals to receive signal estimation; and according to the current frequency offset range and the candidate frequency offset estimation values estimated by the received signals at different time intervals, carrying out weighted combination on the candidate frequency offset estimation values estimated by the received signals at different time intervals, and taking the weighted combination result as a target frequency offset estimation value. By adopting the scheme, the accuracy of frequency offset estimation can be improved.
Description
Technical Field
The present invention relates to the field of wireless communication technologies, and in particular, to a frequency offset estimation method and apparatus, and a computer-readable storage medium.
Background
Frequency Offset (FO) is usually caused by oscillator carrier Frequency Offset or doppler Frequency Offset due to high speed motion. The Frequency offset causes a linear phase rotation of the received baseband signal with time, and also causes an Orthogonal Frequency Division Multiplexing (OFDM) system to generate inter-subcarrier interference.
In the prior art, correlation values between two received symbols or channel estimation values at a certain time interval are usually calculated, and the frequency offset is estimated by using phase information of the correlation values and the time interval. However, when there are multiple time interval received symbols or channel estimation values, the existing frequency offset estimation method does not consider to effectively combine candidate frequency offset estimation values estimated from different time interval received signals to improve the accuracy of frequency offset estimation.
Disclosure of Invention
The embodiment of the invention solves the technical problem that the frequency offset estimation value obtained by the frequency offset estimation method is low in accuracy.
To solve the foregoing technical problem, an embodiment of the present invention provides a frequency offset estimation method, including: obtaining a current frequency offset range and candidate frequency offset estimation values obtained by using different time intervals to receive signal estimation; and according to the current frequency offset range and the candidate frequency offset estimation values estimated by the received signals at different time intervals, carrying out weighted combination on the candidate frequency offset estimation values estimated by the received signals at different time intervals, and taking the weighted combination result as a target frequency offset estimation value.
Optionally, the weighting and combining the candidate frequency offset estimation values estimated by the received signals at different time intervals according to the current frequency offset range and the candidate frequency offset estimation values estimated by the received signals at different time intervals includes: determining candidate frequency offset estimation values for weighted combination according to the current frequency offset range, and determining weighted values corresponding to the candidate frequency offset estimation values for weighted combination; and carrying out weighted combination according to the candidate frequency offset estimation value for weighted combination and the weighted value corresponding to the candidate frequency offset estimation value for weighted combination.
Optionally, the determining, according to the current frequency offset range, a candidate frequency offset estimation value for performing weighted combining includes: estimating a target interval corresponding to the current frequency offset range; and determining a candidate frequency offset estimation value for weighting and combining according to the target interval.
Optionally, the determining, according to the target interval, a candidate frequency offset estimation value for performing weighted combining includes: is determined to be less than the time interval
Carrying out weighting combination on the candidate frequency offset estimation value estimated by the received signal; wherein f is 1 Is a stand forMaximum value of the target interval, f 0 Is the minimum value of the target interval.
Optionally, the determining a weighted value corresponding to the candidate frequency offset estimation value for weighted combining includes: and determining that the weighted values corresponding to the candidate frequency offset estimation values for weighted combination are equal.
Optionally, a sum of weighted values corresponding to different candidate frequency offset estimation values is equal to 1.
Optionally, the determining a weighted value corresponding to the candidate frequency offset estimation value for weighted combining includes: acquiring standard deviations associated with candidate frequency offset estimation values estimated by receiving signals at different time intervals; and determining a weighted value corresponding to the candidate frequency offset estimation value for weighted combination according to the standard deviation of different candidate frequency offset estimation values.
Optionally, the determining, according to the interval of the current frequency offset range, the weighted value corresponding to the candidate frequency offset estimation value for performing weighted merging includes: the weighted values corresponding to the candidate frequency offset estimation values estimated by using the received signals with time interval length sequence i are as follows:
wherein σ i The standard deviation, sigma, corresponding to the candidate frequency offset estimation value estimated by the received signal with the time interval length sequence of i j I is more than or equal to 1 and less than or equal to N, j takes a value of 1-N, and N is less than or equal to N
The total number of received signal time interval lengths.
The embodiment of the invention also provides a frequency offset estimation device, which comprises: the acquisition unit is used for acquiring a current frequency offset range and candidate frequency offset estimation values obtained by using different time intervals to receive signals; and the weighting and combining unit is used for weighting and combining the candidate frequency offset estimation values estimated by the received signals at different time intervals according to the current frequency offset range and the candidate frequency offset estimation values estimated by the received signals at different time intervals, and taking the weighting and combining result as a target frequency offset estimation value.
An embodiment of the present invention further provides a computer-readable storage medium, which is a non-volatile storage medium or a non-transitory storage medium, and has a computer program stored thereon, where the computer program is executed by a processor to perform the steps of any one of the frequency offset estimation methods.
The embodiment of the present invention further provides another frequency offset estimation apparatus, which includes a memory and a processor, where the memory stores a computer program that can be run on the processor, and the processor executes any of the steps of the frequency offset estimation method when running the computer program.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
and according to the current frequency offset range and the candidate frequency offset estimation values estimated by the received signals at different time intervals, carrying out weighted combination on the candidate frequency offset estimation values estimated by the received signals at different time intervals, and taking the weighted combination result as a target frequency offset estimation value. Because the candidate frequency offset estimation values estimated by a plurality of receiving signals with different time intervals are weighted and combined, more accurate frequency offset estimation values can be obtained.
Drawings
Fig. 1 is a flow chart of a frequency offset estimation method in an embodiment of the present invention;
fig. 2 is a schematic diagram of time-domain correlation calculation including two DMRS symbols in one subframe;
fig. 3 is a schematic diagram of time-domain correlation calculation including three DMRS symbols in one subframe;
fig. 4 to 6 are schematic diagrams of time-domain correlation calculations involving four DMRS symbols in one subframe;
fig. 7 is a schematic structural diagram of a frequency offset estimation apparatus in an embodiment of the present invention.
Detailed Description
In the prior art, correlation values between two received symbols or channel estimation values at a certain time interval are usually calculated, and the frequency offset is estimated by using phase information of the correlation values and the time interval.
Referring to fig. 2, taking 5G NR PUSCH as an example, assume that two Demodulation Reference Signal (DMRS) symbols are transmitted within one subframe, and their corresponding time intervals are T 0 . For the first DMRS signal, the corresponding channel estimation value h can be estimated 0 (ii) a For the second DMRS signal, a corresponding channel estimation value h can be estimated 1 Accumulating on multiple sub-carriers to obtain correlation values
According to the correlation value, obtaining a frequency offset estimation value as follows:
referring to fig. 3, if three DMRS symbols are transmitted in one subframe, the time interval between the first DMRS symbol and the second DMRS symbol is T 0 The time interval between the second and third DMRS symbols is T 1 ，T 0 ＞T 1 . Channel estimation value h corresponding to first DMRS symbol 0 The second DMRS symbol corresponds to the channel estimate h 1 The third DMRS symbol corresponds to the channel estimation value h 2 Three candidate frequency offset estimation values can be obtained:
in the prior art, the root is usuallyAnd determining to use one candidate frequency deviation estimation value in the three candidate frequency deviation estimation values as a target frequency deviation estimation value according to the current frequency deviation range. For example, if the current frequency offset range is small, FO _ esti is selected 2 As the estimated value of the target frequency deviation, if the current frequency deviation range is larger, FO _ esti is selected 1 As a target frequency offset estimate.
Referring to fig. 4 to 6, if four DMRS symbols are transmitted in one subframe, the time interval between the first DMRS symbol and the second DMRS symbol, the time interval between the second DMRS symbol and the third DMRS symbol, and the time interval between the third DMRS symbol and the fourth DMRS symbol are all T 0 . Channel estimation value h corresponding to first DMRS symbol 0 The second DMRS symbol corresponds to the channel estimate h 1 The third DMRS symbol corresponds to the channel estimate h 2 The fourth DMRS symbol corresponds to the channel estimation value h 3 . By performing time domain correlation operation, the following three candidate frequency offset estimation values can be obtained:
in particular, FO _ esti 0 Can be correspondingly referred to fig. 4, FO _ esti 1 Can be correspondingly referred to fig. 5, FO _ esti 2 The calculation principle of (c) can be correspondingly referred to fig. 6.
Similar to the above-mentioned three DMRS symbols transmitted in one subframe, in the prior art, which candidate frequency offset estimation value is used as the target frequency offset estimation value is usually determined according to the current frequency offset range.
However, in the above method for determining a target frequency offset estimation value, only one candidate frequency offset estimation value is considered to be selected as the target frequency offset estimation value, and effective combination of multiple candidate frequency offset estimation values is not considered, so that the accuracy of the determined target frequency offset estimation value is low.
In the embodiment of the invention, the candidate frequency offset estimation values estimated by the received signals of different time intervals are weighted and combined according to the current frequency offset range and the candidate frequency offset estimation values estimated by the received signals of different time intervals, and the weighted and combined result is used as the target frequency offset estimation value. Because the candidate frequency offset estimation values estimated by a plurality of receiving signals with different time intervals are weighted and combined, more accurate frequency offset estimation values can be obtained.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
An embodiment of the present invention provides a frequency offset estimation method, which is described in detail below with reference to fig. 1 through specific steps.
In the embodiment of the present invention, the frequency offset estimation method provided in steps S101 to S102 described below may be executed by the access network device. Specifically, the frequency offset estimation method provided in steps S101 to S102 described below may be executed by a chip having data processing capability in the user equipment, or by a chip module including a data processing chip in the user equipment.
Step S101, obtaining a current frequency offset range and candidate frequency offset estimation values obtained by using different time intervals to receive signals.
In particular implementations, the current frequency offset range may be pre-estimated. The current frequency offset range may generally indicate the region in which the target frequency offset estimate is located. Those skilled in the art will appreciate that the current frequency offset range may be a coarse value corresponding to the target frequency offset estimate. Specifically, the implementation principle and process for obtaining the current frequency offset range may correspond to the prior art, and are not described in detail herein.
In a specific implementation, when one subframe includes three DMRS symbols or four DMRS symbols, a specific calculation process of the candidate frequency offset estimation value may correspond to fig. 2 to fig. 6 and corresponding text descriptions, which are not described herein again.
In the embodiment of the invention, a certain candidate frequency offset estimation value corresponds to a received signal time interval used for estimating frequency offset, and different candidate frequency offset estimation values correspond to different received signal time intervals used for estimating frequency offset.
Step S102, according to the current frequency offset range and the candidate frequency offset estimation values estimated by the received signals at different time intervals, carrying out weighted combination on the candidate frequency offset estimation values estimated by the received signals at different time intervals, and taking the weighted combination result as a target candidate frequency offset estimation value.
In a specific implementation, the candidate frequency offset estimation value for performing weighted combining and the weighted value corresponding to the candidate frequency offset estimation value for performing weighted combining may be determined according to the current frequency offset range. And then, carrying out weighted combination according to the candidate frequency offset estimation value for carrying out weighted combination and the weighted value corresponding to the candidate frequency offset estimation value.
In the embodiment of the invention, the target interval corresponding to the current frequency offset range can be estimated, and then the candidate frequency offset estimation values are determined to be subjected to weighting combination according to the target interval. The "which candidate frequency offset estimation values" described above substantially correspond to the candidate frequency offset estimation values estimated using the received signals of which time intervals.
That is to say, the candidate frequency offset estimation values selected for weighting and combining may also be different according to different target intervals corresponding to the current frequency offset range.
In other words, when determining candidate frequency offset estimation values for weighted combining, it may be possible to select a part of the candidate frequency offset estimation values for weighted combining instead of performing weighted combining on all the candidate frequency offset estimation values. Even more, when the current frequency offset range is large, only one candidate frequency offset estimation value meets the frequency offset range condition, and then it is not necessary to perform weighting combination on multiple candidate frequency offset estimation values.
In the embodiment of the invention, if the estimated current frequency deviation range is in the target interval [ f ] 0 ，f 1 ]In between, according to the purposeWhen the candidate frequency offset estimation value for weighting and combining is determined in the target interval, the time interval can be smaller than
And carrying out weighting combination on the candidate frequency offset estimation values estimated by the received signals.
In the embodiment of the present invention, when determining the weighted value corresponding to the candidate frequency offset estimation value for weighted combining, the weighted values corresponding to different candidate frequency offset estimation values may be equal, and the sum of the weighted values corresponding to different candidate frequency offset estimation values is equal to 1.
For example, the number of candidate frequency offset estimation values for weight value combining is determined to be 3, and the candidate frequency offset estimation values are FO _ esti 0 、FO_esti 1 、FO_esti 2 Then the weighting values corresponding to the 3 candidate frequency offset estimates are 1/3.
In the embodiment of the invention, when determining the weighted value corresponding to the candidate frequency offset estimation value for weighted combination, the standard deviation of different candidate frequency offset estimation values can be obtained first; and then, determining a weighted value corresponding to the candidate frequency offset estimation value for weighted combination according to the standard deviation corresponding to different candidate frequency offset estimation values.
Specifically, it may be determined that the weighted value corresponding to the candidate frequency offset estimation value with the time interval length rank i is:
wherein σ i The standard deviation, sigma, corresponding to the candidate frequency offset estimation value estimated by the received signal with the time interval length sequence of i j I is more than or equal to 1 and less than or equal to N, j takes a value of 1-N, and N is less than or equal to N
Of the received signal time interval length, σ j-1 And the standard deviation corresponding to the candidate frequency offset estimation values with time interval length sequence of j-1.
For example, the candidate frequency offset estimation values are determined to be FO respectively_esti 0 、FO_esti 1 、FO_esti 2 Then FO _ esti 0 Corresponding weighted value
FO_esti 1 Corresponding weighted value
FO_esti 2 Corresponding weighted value
The frequency offset estimation method provided in the above embodiment of the present invention is explained by way of example.
Aiming at the application scene that three DMRS symbols are transmitted in one subframe, the corresponding time intervals are respectively T 0 And T 1 (see FIG. 3, with T) 0 >T 1 ). Setting sigma 0 Is FO _ esti 0 Standard deviation of (a) 1 Is FO _ esti 1 Standard deviation of (a) 2 Is FO _ esti 2 Standard deviation of (2).
As will be appreciated by those skilled in the art, FO _ esti as described above 0 、FO_esti 1 、FO_esti 2 The corresponding standard deviation can be derived through the existing formula or h 0 、h 1 、h 2 The signal-to-noise ratio of (c) is obtained by looking up in a table look-up manner (the mapping table can be obtained by pre-simulation).
The current frequency offset range is first determined.
If the range of the current frequency deviation FO is determined to be in
At this time, the process of the present invention,
will FO _ esti 0 、FO_esti 1 、FO_esti 2 The weighted accumulation value of (b) is used as the target frequency offset estimation value, that is:
FO_esti＝w 0 *FO_esti 0 +w 1 *FO_esti 1 +w 2 *FO_esti 2 ；
where FO _ esti is the target frequency offset estimate, and w 0 +w 1 +w 2 ＝1。
When the weights of the three candidate frequency offset estimation values are the same, then w 0 ＝w 1 ＝w 2 ＝1/3。
When calculating the target frequency offset estimate based on the standard deviations of the three candidate frequency offset estimates,
namely:
suppose h 0 、h 1 、h 2 Is equal, then can be derived by formula 0 、· 1 、σ 2 In a proportional relationship of
Then obtain
If the range of the current frequency deviation FO is determined to be in
At this time, the process of the present invention,
will FO _ esti 0 、FO_esti 1 As the target frequency offset estimation value FO _ esti, that is:
FO_esti＝w 0 *FO_esti 0 +w 1 *FO_esti 1 ；
w is above 0 And w 1 Satisfies the following conditions: w is a 0 +w 1 ＝1。
When the weights of the two candidate frequency deviation estimated values are the same, w 0 ＝w 1 ＝1/2。
When calculating the target frequency offset estimate based on the standard deviation of the two candidate frequency offset estimates,
namely:
suppose h 0 、h 1 、h 2 Is equal, sigma can be obtained by formula derivation 0 、σ 1 In a proportional relationship of
Further obtain
If the range of the current frequency deviation range FO is determined to be
At this time, the process of the present invention,
then the candidate frequency offset estimation value (FO _ esti) obtained by estimating the minimum time interval is obtained 1 ) As target candidate frequency offset estimation values.
Aiming at the application scenario that four DMRS symbols are transmitted. Setting sigma 0 Is FO _ esti 0 Standard deviation of (a) 1 Is FO _ esti 1 Standard deviation of (a) 2 Is FO _ esti 2 Standard deviation of (2).
As will be appreciated by those skilled in the art, FO \uas described aboveesti 0 、FO_esti 1 、FO_esti 2 The corresponding standard deviation can be derived through the existing formula or h 0 、h 1 、h 2 、h 3 The signal-to-noise ratio of (c) is obtained by looking up in a table look-up manner (the mapping table can be obtained by pre-simulation).
The current frequency offset range is first determined.
If the range of the current frequency deviation FO is determined to be in
At this time, the process of the present invention,
will FO _ esti 0 、FO_esti 1 、FO_esti 2 The weighted accumulation value of (a) is used as the target frequency offset estimation value, that is:
FO_esti＝w 0 *FO_esti 0 +w 1 *FO_esti 1 +w 2 *FO_esti 2 ；
where FO _ esti is the target frequency offset estimate, and w 0 +w 1 +w 2 ＝1。
When the weights of the three candidate frequency offset estimation values are the same, then w 0 ＝w 1 ＝w 2 ＝1/3。
When a target frequency offset estimate is computed based on the standard deviations of the three candidate frequency offset estimates,
namely:
if the range of the current frequency deviation FO is determined to be in
At this time, the process of the present invention,
will FO _ esti 0 、FO_esti 1 As the target frequency offset estimation value FO _ esti, that is:
FO_esti＝w 0 *FO_esti 0 +w 1 *FO_esti 1 ；
w is above 0 And w 1 Satisfies the following conditions: w is a 0 +w 1 ＝1。
When the weights of the two candidate frequency deviation estimated values are the same, w 0 ＝w 1 ＝1/2。
When calculating the target frequency offset estimate based on the standard deviation of the two candidate frequency offset estimates,
namely:
if it is determined that the current frequency offset range FO is within
At this time, the process of the present invention,
then the candidate frequency offset estimation value (FO _ esti) obtained by estimating the minimum time interval is obtained 1 ) As target candidate frequency offset estimation values.
In summary, in the embodiments of the present invention, the candidate frequency offset estimation values estimated from the received signals at different time intervals are weighted and combined according to the current frequency offset range and the candidate frequency offset estimation values estimated from the received signals at different time intervals, and the weighted and combined result is used as the target frequency offset estimation value. Because the candidate frequency offset estimation values estimated by a plurality of receiving signals with different time intervals are weighted and combined, more accurate frequency offset estimation values can be obtained.
Referring to fig. 7, a frequency offset estimation apparatus 70 in an embodiment of the present invention is shown, including: an obtaining unit 701 and a weighting and combining unit 702, wherein:
an obtaining unit 701, configured to obtain a current frequency offset range and candidate frequency offset estimation values obtained by using different time intervals to receive signal estimation;
and a weighting and combining unit 702, configured to perform weighting and combining on the candidate frequency offset estimation values estimated by the received signals at different time intervals according to the current frequency offset range and the candidate frequency offset estimation values estimated by the received signals at different time intervals, and use a weighting and combining result as a target frequency offset estimation value.
In a specific implementation, the specific processes performed by the obtaining unit 701 and the weighting and combining unit 702 may refer to steps S101 to S102, which are not described herein again.
In a specific implementation, each module/unit included in each apparatus and product described in the foregoing embodiments may be a software module/unit, may also be a hardware module/unit, or may also be a part of a software module/unit and a part of a hardware module/unit.
For example, for each apparatus and product applied to or integrated into a chip, each module/unit included in the apparatus and product may all be implemented by hardware such as a circuit, or at least a part of the modules/units may be implemented by a software program running on a processor integrated within the chip, and the remaining (if any) part of the modules/units may be implemented by hardware such as a circuit; for each device and product applied to or integrated with the chip module, each module/unit included in the device and product may be implemented by hardware such as a circuit, and different modules/units may be located in the same component (e.g., a chip, a circuit module, etc.) or different components of the chip module, or at least part of the modules/units may be implemented by a software program running on a processor integrated inside the chip module, and the rest (if any) part of the modules/units may be implemented by hardware such as a circuit; for each device and product applied to or integrated in the terminal, each module/unit included in the device and product may be implemented by using hardware such as a circuit, and different modules/units may be located in the same component (e.g., a chip, a circuit module, etc.) or different components in the terminal, or at least part of the modules/units may be implemented by using a software program running on a processor integrated in the terminal, and the rest (if any) part of the modules/units may be implemented by using hardware such as a circuit.
An embodiment of the present invention further provides a computer-readable storage medium, which is a non-volatile storage medium or a non-transitory storage medium, and on which a computer program is stored, where the computer program, when executed by a processor, performs the steps of the frequency offset estimation method provided in steps S101 to S102.
The embodiment of the present invention further provides a frequency offset estimation apparatus, which includes a memory and a processor, where the memory stores a computer program that can be run on the processor, and the processor executes the steps of the frequency offset estimation method provided in steps S101 to S102 when running the computer program.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by instructing the relevant hardware through a program, which may be stored in a computer-readable storage medium, and the storage medium may include: ROM, RAM, magnetic or optical disks, and the like.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (11)
1. A method of frequency offset estimation, comprising:
obtaining a current frequency offset range and candidate frequency offset estimation values obtained by using different time intervals to receive signal estimation;
and according to the current frequency offset range and the candidate frequency offset estimation values estimated by the received signals at different time intervals, carrying out weighted combination on the candidate frequency offset estimation values estimated by the received signals at different time intervals, and taking the weighted combination result as a target frequency offset estimation value.
2. The frequency offset estimation method of claim 1, wherein the weighted combination of the candidate frequency offset estimation values estimated from the different time interval received signals according to the current frequency offset range and the candidate frequency offset estimation values estimated from the different time interval received signals comprises:
determining candidate frequency offset estimation values for weighted combination according to the current frequency offset range, and determining weighted values corresponding to the candidate frequency offset estimation values for weighted combination;
and carrying out weighted combination according to the candidate frequency offset estimation value for weighted combination and the weighted value corresponding to the candidate frequency offset estimation value for weighted combination.
3. The frequency offset estimation method of claim 2 wherein said determining candidate frequency offset estimates for weighted combining based on said current frequency offset range comprises:
estimating a target interval corresponding to the current frequency offset range;
and determining a candidate frequency offset estimation value for weighting and combining according to the target interval.
4. The frequency offset estimation method of claim 3 wherein said determining candidate frequency offset estimates for weighted combining based on said target interval comprises:
determining that the time interval is less than
Carrying out weighting combination on the candidate frequency offset estimation value estimated by the received signal; wherein f is 1 Is the maximum value of the target interval, f 0 Is the minimum value of the target interval.
5. The frequency offset estimation method of claim 4 wherein said determining the weight values corresponding to the candidate frequency offset estimation values for weighted combining comprises:
and determining that the weighted values corresponding to the candidate frequency offset estimation values for weighted combination are equal.
6. The method of frequency offset estimation according to claim 5, wherein the sum of the weighted values corresponding to different candidate frequency offset estimation values is equal to 1.
7. The method of frequency offset estimation according to claim 4, wherein said determining the weight values corresponding to the candidate frequency offset estimation values for weighted combining comprises:
acquiring standard deviations of candidate frequency offset estimation values estimated by receiving signals at different time intervals;
and determining a weighted value corresponding to the candidate frequency offset estimation value for weighted combination according to the standard deviation of different candidate frequency offset estimation values.
8. The frequency offset estimation method according to claim 7, wherein the determining the weighted value corresponding to the candidate frequency offset estimation value for weighted combination according to the section of the current frequency offset range includes:
determining that the weighted value corresponding to the candidate frequency offset estimation value estimated by using the received signal with the time interval length sequence i is as follows:
wherein σ i The standard deviation, sigma, corresponding to the candidate frequency offset estimation value estimated by the received signal with the time interval length sequence of i j I is more than or equal to 1 and less than or equal to N, j takes a value of 1-N, and N is less than or equal to N
Is received byTotal number of signal time interval lengths.
9. A frequency offset estimation apparatus, comprising:
the acquisition unit is used for acquiring a current frequency offset range and candidate frequency offset estimation values obtained by using different time intervals to receive signals;
and the weighting and combining unit is used for weighting and combining the candidate frequency offset estimation values estimated by the received signals at different time intervals according to the current frequency offset range and the candidate frequency offset estimation values estimated by the received signals at different time intervals, and taking the weighting and combining result as a target frequency offset estimation value.
10. A computer-readable storage medium, being a non-volatile storage medium or a non-transitory storage medium, having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the frequency offset estimation method according to any of claims 1 to 8.
11. A frequency offset estimation apparatus comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and wherein the processor executes the computer program to perform the steps of the frequency offset estimation method according to any one of claims 1 to 8.
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| CN116455719A (en) * | 2023-06-16 | 2023-07-18 | 南京创芯慧联技术有限公司 | Frequency offset estimation method, device, communication equipment and readable storage medium |
| CN116455719B (en) * | 2023-06-16 | 2023-09-05 | 南京创芯慧联技术有限公司 | Frequency offset estimation method, device, communication equipment and readable storage medium |
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