Method and device for determining frequency domain correlation coefficient, electronic equipment and storage medium

Abstract

The invention provides a method and device for determining a frequency domain correlation coefficient, electronic equipment and a storage medium, and relates to the technical field of communication. The method specifically comprises the following steps: determining the difference between a first beam bearing a tracking reference signal (TRS) and a second beam bearing a demodulation reference signal (DMRS); determining a target reference signal according to the difference between the first beam and the second beam, the target reference signal being a TRS or a DMRS; and determining a frequency domain correlation coefficient based on the target reference signal. Therefore, the frequency domain correlation coefficient is calculated by selecting the reference signal suitable for the actual state of the channel, and the performance and accuracy of estimating the frequency domain correlation coefficient are improved.

Description

Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular, to a method, an apparatus, an electronic device, and a storage medium for determining a frequency-domain correlation coefficient. Background Art

[0002] The frequency-domain correlation coefficient is a pre-estimation value necessary for channel estimation, and channel estimation can compensate for signal attenuation and reduce interference, thereby improving the performance of a communication system. Therefore, an estimation method for a frequency-domain correlation coefficient with higher accuracy is needed to improve the accuracy of channel estimation. Summary of the Invention

[0003] The present disclosure aims to solve at least one of the technical problems in the related art to some extent.

[0004] A first aspect embodiment of the present disclosure provides a method for determining a frequency-domain correlation coefficient, including:

[0005] Determining the difference between a first beam carrying a tracking reference signal (TRS) and a second beam carrying a demodulation reference signal (DMRS);

[0006] Determining a target reference signal according to the difference between the first beam and the second beam, where the target reference signal is the TRS or the DMRS;

[0007] Determining the frequency-domain correlation coefficient based on the target reference signal.

[0008] A second aspect embodiment of the present disclosure provides an apparatus for determining a frequency-domain correlation coefficient, including:

[0009] A first determination module, configured to determine the difference between a first beam carrying a tracking reference signal (TRS) and a second beam carrying a demodulation reference signal (DMRS);

[0010] A second determination module, configured to determine a target reference signal according to the difference between the first beam and the second beam, where the target reference signal is the TRS or the DMRS;

[0011] A third determination module, configured to determine the frequency-domain correlation coefficient based on the target reference signal.

[0012] A third aspect embodiment of the present disclosure provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where when the processor executes the program, the method for determining a frequency-domain correlation coefficient as provided in the first aspect embodiment of the present disclosure is implemented.

[0013] A fourth aspect embodiment of the present disclosure provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method for determining the frequency-domain correlation coefficient as proposed in the first aspect embodiment of the present disclosure.

[0014] The method, apparatus, electronic device, and storage medium for determining the frequency-domain correlation coefficient provided by the present disclosure have the following beneficial effects:

[0015] In the embodiments of the present disclosure, first, the difference between the first beam carrying the tracking reference signal (TRS) and the second beam carrying the demodulation reference signal (DMRS) is determined. Then, based on the difference between the first beam and the second beam, the target reference signal is determined. Finally, based on the target reference signal, the frequency-domain correlation coefficient is determined. Thus, by selecting a reference signal suitable for the actual state of the channel to calculate the frequency-domain correlation coefficient, the performance and accuracy of estimating the frequency-domain correlation coefficient are improved.

[0016] Additional aspects and advantages of the present disclosure will be partially given in the following description, partially become apparent from the following description, or be understood through the practice of the present disclosure. Description of the Drawings

[0017] The above and / or additional aspects and advantages of the present disclosure will become apparent and be readily understood from the following description of the embodiments in conjunction with the drawings, where:

[0018] Figure 1 is a schematic flowchart of a method for determining the frequency-domain correlation coefficient provided by an embodiment of the present disclosure;

[0019] Figure 2 is a schematic flowchart of a method for determining the frequency-domain correlation coefficient provided by another embodiment of the present disclosure;

[0020] Figure 3 is a schematic structural diagram of the boundary boundle provided by the present disclosure.

[0021] Figure 4 is a schematic structural diagram of an apparatus for determining the frequency-domain correlation coefficient provided by an embodiment of the present disclosure;

[0022] Figure 5 shows a block diagram of an exemplary electronic device suitable for implementing the embodiments of the present disclosure. Detailed Embodiments

[0023] The embodiments of the present disclosure will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and are intended to explain the present disclosure, but should not be construed as limiting the present disclosure.

[0024] The method, apparatus, electronic device, and storage medium for determining the frequency-domain correlation coefficient according to embodiments of the present disclosure will be described below with reference to the accompanying drawings.

[0025] Figure 1 FIG. is a schematic flowchart of a method for determining the frequency-domain correlation coefficient provided by an embodiment of the present disclosure.

[0026] In the embodiments of the present disclosure, the method for determining the frequency-domain correlation coefficient is configured in a device for determining the frequency-domain correlation coefficient as an example. The device for determining the frequency-domain correlation coefficient can be applied to any electronic device, so that the electronic device can perform the function of selecting a better reference signal to calculate the frequency-domain correlation coefficient according to the difference between beams of different types of reference signals.

[0027] It should be noted that the method for determining the frequency-domain correlation coefficient proposed by the present disclosure is mainly applied to a New Radio (NR) system where a Tracking Reference Signal (TRS) and a Demodulation Reference Signal (DMRS) coexist.

[0028] As Figure 1 shown, the method for determining the frequency-domain correlation coefficient may include the following steps:

[0029] Step 101: Determine the difference between a first beam carrying the tracking reference signal TRS and a second beam carrying the demodulation reference signal DMRS.

[0030] In the embodiments of the present disclosure, the first beam carrying the TRS can be determined according to the long-period static beamforming configured for the TRS. And the second beam carrying the DMRS can be determined by dynamic beamforming through the feedback of a Sounding Reference Signal (SRS) or a Precoding Matrix Indicator (PMI).

[0031] It should be noted that in the present disclosure, the difference between the first beam and the second beam can be determined by calculating the difference between the signal quality of the TRS and the signal quality of the DMRS, and the difference between the frequency-domain correlation value of the TRS and the frequency-domain correlation value of the DMRS.

[0032] In the embodiments of the present disclosure, the signal quality of the TRS can be calculated based on the estimated result of the frequency-domain signal corresponding to the TRS, and the signal quality of the DMRS can be calculated based on the estimated result of the frequency-domain signal corresponding to the DMRS. Then, the difference between the signal quality of the TRS and the signal quality of the DMRS is calculated. When the difference is greater than a certain difference threshold, it is determined that there is a difference between the first beam and the second beam. Alternatively, when the difference is less than or equal to the difference threshold, further judgment can be made based on the difference between the frequency-domain correlation value of the TRS and the frequency-domain correlation value of the DMRS. When the ratio of the frequency-domain correlation value of the TRS to the frequency-domain correlation value of the DMRS is greater than a preset ratio threshold, it is determined that there is a difference between the first beam and the second beam. Alternatively, when the ratio of the frequency-domain correlation value of the TRS to the frequency-domain correlation value of the DMRS is less than or equal to the preset ratio threshold, it is determined that there is no difference between the first beam and the second beam.

[0033] Step 102: Determine the target reference signal according to the difference between the first beam and the second beam.

[0034] Wherein, the target reference signal is the TRS or the DMRS.

[0035] It can be understood that when the first beam and the second beam are highly consistent, that is, there is no difference, the attenuation of the reference signal during transmission is uniform. Therefore, the result of calculating the frequency-domain correlation coefficient using the TRS is more accurate, and the effect is better in some special channel types. When there is a large difference between the first beam and the second beam, the frequency-domain correlation coefficient calculated using the TRS will bring negative gain. At this time, the result of the frequency-domain correlation coefficient calculated using the DMRS is more accurate.

[0036] Therefore, when there is no difference between the first beam and the second beam, the target reference signal can be determined as the TRS. Alternatively, when there is a difference between the first beam and the second beam, the target reference signal can be determined as the DMRS.

[0037] Step 103: Determine the frequency-domain correlation coefficient based on the target reference signal.

[0038] In the embodiments of the present disclosure, the frequency-domain correlation coefficient can be obtained according to the calculation method associated with the determined target reference signal. When the target reference signal is a TRS, the frequency-domain correlation coefficient can be directly obtained by zero-padding the denoised power delay profile (PDP) and then performing a fast Fourier transform (FFT). Alternatively, when the target parameter signal is a DMRS, the coefficient table of the assumed channel model corresponding to different delay spread levels can be obtained first, and then the optimal delay spread level can be obtained by dividing the delay spread into levels and looking up the table. Based on this level, the frequency-domain correlation coefficient of the corresponding channel model can be looked up in the table.

[0039] In the embodiments of the present disclosure, first, the difference between the first beam carrying the tracking reference signal TRS and the second beam carrying the demodulation reference signal DMRS is determined. Then, based on the difference between the first beam and the second beam, the target reference signal is determined. Further, based on the target reference signal, the frequency-domain correlation coefficient is determined. Thus, by selecting the reference signal suitable for the actual state of the channel to calculate the frequency-domain correlation coefficient, the performance and accuracy of estimating the frequency-domain correlation coefficient are improved.

[0040] Figure 2 The flowchart of a method for determining the frequency-domain correlation coefficient provided by an embodiment of the present disclosure is shown as Figure 2 shown, and the method for determining the frequency-domain correlation coefficient may include the following steps:

[0041] Step 201, determine the first quality parameter value of the TRS and the second quality parameter value of the DMRS.

[0042] Among them, the quality parameter value, which is used to describe the signal quality of the reference signal, may be a value determined based on the signal strength of the reference signal and the noise power.

[0043] In the embodiments of the present disclosure, first, based on the received TRS and the local reference signal LocalRS (i.e., the pilot sequence), the frequency-domain channel estimation result Hls corresponding to the position of the TRS in the orthogonal frequency division multiplexing (OFDM) symbol carrying the TRS can be obtained. Then, the signal strength corresponding to the TRS can be calculated according to Hls, and the calculation formula of the signal strength is shown in the following formula (1):

[0044] RSSI = sum(abs(Hls(i)). 2 ) (1)

[0045] Wherein, RSSI is the Received Signal Strength Indication, i is the position of the TRS in the OFDM symbol. For example, if the position index of the TRS in the OFDM symbol ranges from 0 to 100, then the value of i ranges from 0 to 100.

[0046] Then, use Hls to calculate the noise power corresponding to the TRS. The calculation formula for the noise power is shown in the following formula (2):

[0047] Sigma = sum(abs(Hls(i) - Hls(i + 1)). 2 / 2) (2)

[0048] After that, according to the signal strength and noise power calculated by formula (1) and formula (2), the first quality parameter value corresponding to the TRS can be determined, as shown in the following formula (3):

[0049] SNR_TRS = (RSSI - Sigma) / Sigma (3)

[0050] It can be understood that the calculation process of the second quality parameter value SNR_DMRS of the DMRS is the same as that of the first quality parameter value SNR_TRS of the TRS, which will not be elaborated here.

[0051] Step 202, when the difference between the first quality parameter value and the second quality parameter value is less than or equal to the difference threshold, determine the first correlation value of the TRS and the second correlation value of the DMRS.

[0052] Wherein, the difference threshold is an empirical value determined according to experimental statistical analysis, and the present disclosure does not limit this.

[0053] In the embodiments of the present disclosure, when the difference between the first quality parameter value and the second quality parameter value is less than or equal to the difference threshold, it may not be accurate enough to determine whether there is a difference between the first beam and the second beam depending on the difference in the quality parameter values, because the difference in the reference signal quality may be caused by other factors other than the beam. Therefore, in order to more accurately determine whether there is a difference between the first beam and the second beam, the frequency domain correlation values of the TRS and the DMRS can be used to determine the similarity degree of the TRS and the DMRS in the frequency domain, and further judge the difference between the first beam and the second beam.

[0054] It can be understood that when the difference between the first quality parameter value and the second quality parameter value is greater than the difference threshold, it can be directly determined that there is a difference between the first beam and the second beam, and there is no need to continue to determine the first correlation value of the TRS and the second correlation value of the DMRS.

[0055] It should be noted that in some cases, the first quality parameter value may be smaller than the second quality parameter value. Therefore, when calculating the difference between the first quality parameter value and the second quality parameter value, the result obtained may be negative. When judging with the difference threshold, it must be smaller than the difference threshold. Therefore, when calculating the difference between the first quality parameter value and the second quality parameter value, the absolute value of the calculated difference can be taken, denoted as abs(SNR_TRS - SNR_DMRS).

[0056] Optionally, the common multiple N of the frequency domain intervals of the TRS and the DMRS can be determined first. Then, according to the common multiple N and the frequency domain channel estimation values at the positions carrying the TRS, the first correlation value can be determined, and according to the common multiple N and the frequency domain channel estimation values at the positions carrying the DMRS, the second correlation value can be determined.

[0057] For example, when the configuration type of the DMRS is Type1, the interval of the physical resource elements (REs) of the DMRS is 4, and the RE interval of the TRS is 4, then the common multiple N can be calculated as 4. Or, when the configuration type of the DMRS is Type2, the interval of the physical resource elements (REs) of the DMRS is 6, and the RE interval of the TRS is 4, then the common multiple N can be calculated as 12.

[0058] Optionally, when calculating the first correlation value, the first associated resource element (RE) group in each position carrying the TRS can be determined first according to N.

[0059] It should be noted that since the RE interval of the TRS itself is 4, the index difference between the two REs included in each first associated RE group is N / 4.

[0060] Then, according to the frequency domain channel estimation values of the two REs in each first associated RE group, the sub-correlation value corresponding to each first associated RE group can be determined. The calculation formula of the sub-correlation value is shown in the following formula (4):

[0061] hls_TRS[i]*conj(hls_TRS[i+(N / 4)]), i = 0, 1, …, RSNUM-2 (4)

[0062] Where RSNUM refers to the number of available signal RSs of the TRS.

[0063] After that, the mean value of the sum of the sub-correlation values can be calculated to obtain the first correlation value. The calculation formula of the first correlation value can be shown in the following formula (5):

[0064]

[0065] Optionally, when calculating the second correlation value, the bundles included in the position carrying DMRS can be determined first according to the number of bundles and the bundle size corresponding to DMRS.

[0066] Among them, the number of bundles refers to how many bundles there are in one OFDM symbol. The bundle size refers to how many resource blocks (RBs) there are in one bundle.

[0067] It should be noted that according to the different types of configured DMRS, the number of bundles and the bundle size corresponding to DMRS may be different. For example, for Type1, there are two resource blocks (RBs) in one bundle, so the bundle size is 2. There are 12 REs in each RB, and 6 of them contain RS.

[0068] Then, according to N, the second associated resource element (RE) groups in each bundle are determined. The frequency domain interval between different subcarriers (such as 15k, 30k, etc.) can be obtained, and according to the length of the product of N and the frequency domain interval, different REs in each bundle are associated and determined as an RE group to calculate the correlation value.

[0069] It should be noted that the index difference between the two REs included in each second associated RE group is 4. Since there are 12 REs in one RB, the indexes corresponding to the REs can be represented as 0, 1, 2, …, 11. The indexes of the 6 REs containing RS are 0, 2, 4, 6, 8, 10 respectively. And due to code division multiplexing, the codes of the REs with indexes 0, 4, 8 and the codes of the REs with indexes 2, 6, 10 are different and the correlation value cannot be calculated. Therefore, the RE with index 0 can calculate the correlation value with the RE with index 4, the RE with index 2 can calculate the correlation value with the RE with index 6, and so on.

[0070] After that, according to the frequency domain channel estimation values of the two REs in each second associated RE group, the sub-correlation value corresponding to each second associated RE group is determined. The calculation formula of the sub-correlation value is shown in the following formula (6):

[0071] hls_DMRS[i + j]*conj(hls_DMRS[i + j + 2]), i = 0, 2, 4, 6, 8; j = 0, 1 (6)

[0072] Among them, conj represents taking the complex conjugate.

[0073] It should be noted that [i + j] and [i + j + 2] represent the indices of two associated REs within a boundle.

[0074] The following is an illustration in conjunction with Figure 3 as follows. Figure 3 is a schematic diagram of the structure of the boundle. As shown by Figure 3 , for Type1 DMRS, there are 2 boundles in one OFDM symbol, namely boundle0 and boundle1. And there are 2 PBs in the boundle, and each PB contains 6 REs of DMRS. Then the indices of the 12 REs within one boundle can be denoted as 0, 1, …, 11. According to code division multiplexing, the difference between the indices of two REs in the second associated RE group is 2. That is, in Figure 3 , the REs shown in dark color can be associated with each other to obtain the correlation value, and the REs shown in light color can be associated with each other to obtain the correlation value.

[0075] Then, based on the multiple sub-correlation values corresponding to each boundle, the sum of the multiple sub-correlation values can be calculated to obtain the third correlation value of each boundle. The calculation formula for the third correlation value is shown in the following formula (7):

[0076] corr_boundle = sum(hls DMRS[i+j] * conj(hls DMRS[i+j+2] ))), i = 0, 2, 4, 6, 8; j = 0, 1 (7)

[0077] After that, the mean value of the sum of the third correlation values of each boundle can be determined as the second correlation value. The calculation formula for the second correlation value can be shown in the following formula (8):

[0078] corr DMRS = sum(corr boundle[k] ) / boundle num , k = 0, 1, …, boundle num - 1 (8)

[0079] Step 203: Determine the difference between the first beam and the second beam according to the relationship between the ratio of the first correlation value to the second correlation value and the proportional threshold.

[0080] In the embodiments of the present disclosure, it can be determined that there is a difference between the first beam and the second beam when the ratio of the first correlation value to the second correlation value is greater than the proportional threshold. Or, it can be determined that there is no difference between the first beam and the second beam when the ratio of the first correlation value to the second correlation value is less than or equal to the proportional threshold.

[0081] Step 204: Determine a target reference signal according to the difference between the first beam and the second beam.

[0082] Step 205: Determine a frequency-domain correlation coefficient based on the target reference signal.

[0083] For the descriptions of the above steps 204 to 205, please refer to the above embodiments for details and will not be elaborated herein.

[0084] In the embodiments of the present disclosure, first, a first quality parameter value of the TRS and a second quality parameter value of the DMRS are determined. When the difference between the first quality parameter value and the second quality parameter value is less than or equal to a difference threshold, a first correlation value of the TRS and a second correlation value of the DMRS are further determined. Then, according to the relationship between the ratio of the first correlation value to the second correlation value and a ratio threshold, the difference between the first beam and the second beam is determined. Thus, by successively judging the difference between the TRS and DMRS beams based on the quality parameter and the frequency-domain correlation value of the reference signal, the accuracy and reliability of the beam difference judgment are improved, and the selection of the reference signal for calculating the frequency-domain correlation coefficient is made more reliable.

[0085] To implement the above embodiments, the present disclosure also proposes a device for determining a frequency-domain correlation coefficient.

[0086] Figure 4 FIG. is a schematic structural diagram of the device for determining a frequency-domain correlation coefficient provided by the embodiments of the present disclosure.

[0087] As Figure 4 shown, the device 400 for determining a frequency-domain correlation coefficient may include:

[0088] A first determination module 401, configured to determine the difference between a first beam carrying a tracking reference signal (TRS) and a second beam carrying a demodulation reference signal (DMRS);

[0089] A second determination module 402, configured to determine a target reference signal according to the difference between the first beam and the second beam, where the target reference signal is the TRS or the DMRS;

[0090] A third determination module 403, configured to determine a frequency-domain correlation coefficient based on the target reference signal.

[0091] In some embodiments, the first determination module 401 is specifically configured to:

[0092] Determine a first quality parameter value of the TRS and a second quality parameter value of the DMRS;

[0093] When the difference between the first quality parameter value and the second quality parameter value is less than or equal to a difference threshold, determine a first correlation value of the TRS and a second correlation value of the DMRS;

[0094] When the ratio of the first correlation value to the second correlation value is greater than the ratio threshold, it is determined that there is a difference between the first beam and the second beam.

[0095] In some embodiments, the first determination module 401 is further configured to:

[0096] When the ratio of the first correlation value to the second correlation value is less than or equal to the ratio threshold, it is determined that there is no difference between the first beam and the second beam.

[0097] In some embodiments, the first determination module 401 is specifically configured to:

[0098] Determine the least common multiple N of the frequency domain intervals between the TRS and the DMRS;

[0099] Determine the first correlation value according to the least common multiple N and the frequency domain channel estimation value of the position carrying the TRS;

[0100] Determine the second correlation value according to the least common multiple N and the frequency domain channel estimation value of the position carrying the DMRS.

[0101] In some embodiments, the first determination module 401 is specifically configured to:

[0102] Determine the first associated resource element RE groups in each position carrying the TRS according to N, where the index difference between two REs included in each first associated RE group is N / 4;

[0103] Determine the sub-correlation value corresponding to each first associated RE group according to the frequency domain channel estimation values of two REs in each first associated RE group;

[0104] Determine the mean value of the sum of the sub-correlation values as the first correlation value.

[0105] In some embodiments, the first determination module 401 is specifically configured to:

[0106] Determine each boundle included in the position carrying the DMRS according to the number of boundles corresponding to the DMRS and the boundle size;

[0107] Determine the second associated resource element RE groups in each boundle according to N, where the index difference between two REs included in each second associated RE group is 4;

[0108] Determine the sub-correlation value corresponding to each second associated RE group according to the frequency domain channel estimation values of two REs in each second associated RE group;

[0109] Determine the third correlation value of each bundle according to multiple sub-correlation values corresponding to each bundle;

[0110] Determine the mean of the sum of the third correlation values of each bundle as the second correlation value.

[0111] In some embodiments, the second determination module 402 is specifically configured to:

[0112] When there is no difference between the first beam and the second beam, determine the target reference signal as TRS;

[0113] When there is a difference between the first beam and the second beam, determine the target reference signal as DMRS.

[0114] For the functions and specific implementation principles of the above-mentioned modules in the embodiments of the present disclosure, reference may be made to the above-mentioned method embodiments, and details are not described herein again.

[0115] The device for determining the frequency-domain correlation coefficient in the embodiments of the present disclosure first determines the difference between the first beam carrying the tracking reference signal TRS and the second beam carrying the demodulation reference signal DMRS, then determines the target reference signal according to the difference between the first beam and the second beam, and then determines the frequency-domain correlation coefficient based on the target reference signal. Thus, by selecting a reference signal suitable for the actual state of the channel to calculate the frequency-domain correlation coefficient, the performance and accuracy of estimating the frequency-domain correlation coefficient are improved.

[0116] To implement the above embodiments, the present disclosure also proposes an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the method for determining the frequency-domain correlation coefficient as proposed in the foregoing embodiments of the present disclosure.

[0117] To implement the above embodiments, the present disclosure also proposes a computer-readable storage medium storing a computer program, which when executed by a processor, implements the method for determining the frequency-domain correlation coefficient as proposed in the foregoing embodiments of the present disclosure.

[0118] Figure 5 A block diagram of an exemplary electronic device suitable for implementing the embodiments of the present disclosure is shown. Figure 5 The illustrated electronic device 12 is merely an example and should not impose any limitation on the functions and scope of use of the embodiments of the present disclosure.

[0119] As Figure 5 shown, the electronic device 12 is presented in the form of a general-purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 connecting different system components (including the system memory 28 and the processing unit 16).

[0120] Bus 18 represents one or more of several types of bus architectures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of the various bus architectures. By way of example, these architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnection (PCI) bus.

[0121] Electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by electronic device 12, including volatile and nonvolatile media, removable and non-removable media.

[0122] Memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and / or cache memory 32. Electronic device 12 may further include other removable / non-removable, volatile / nonvolatile computer system storage media. By way of example only, storage system 34 can be used for reading and writing on non-removable, nonvolatile magnetic media ( Figure 5 not shown, typically referred to as a "hard disk drive"). Although Figure 5 not shown in, a disk drive for reading and writing on a removable nonvolatile disk (such as a "floppy disk"), and an optical disk drive for reading and writing on a removable nonvolatile optical disk (such as Compact Disc Read Only Memory (CD-ROM), Digital Video Disc Read Only Memory (DVD-ROM), or other optical media) can be provided. In these cases, each drive can be connected to bus 18 through one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the various embodiments of the present disclosure.

[0123] A program / utilities 40 having a set (at least one) of program modules 42 can be stored, for example, in a memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules 42 generally execute the functions and / or methods in the embodiments described in this disclosure.

[0124] The electronic device 12 can also communicate with one or more external devices 14 (such as a keyboard, a pointing device, a display 24, etc.), and can also communicate with one or more devices that enable a user to interact with the electronic device 12, and / or communicate with any device that enables the electronic device 12 to communicate with one or more other computing devices (such as a network card, a modem, etc.). Such communication can be carried out through an input / output (I / O) interface 22. Moreover, the electronic device 12 can also communicate with one or more networks (such as a Local Area Network (LAN), a Wide Area Network (WAN), and / or a public network, such as the Internet) through a network adapter 20. As shown in the figure, the network adapter 20 communicates with other modules of the electronic device 12 through a bus 18. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0125] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the methods mentioned in the foregoing embodiments.

[0126] The technical solution of the present disclosure improves the performance and accuracy of estimating the frequency-domain correlation coefficient by calculating the frequency-domain correlation coefficient with a reference signal suitable for the actual state of the channel.

[0127] In the description of this specification, the descriptions with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0128] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In the description of the present disclosure, "a plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0129] Any process or method description represented in a flowchart or otherwise described herein can be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a customized logical function or process. The scope of the preferred embodiments of the present disclosure includes additional implementations where functions may be executed not in the order shown or discussed, including in a substantially simultaneous manner according to the functions involved or in a reverse order, which should be understood by those skilled in the art to which the embodiments of the present disclosure pertain.

[0130] Logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing a logical function and can be specifically implemented in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection portion having one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, as the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or otherwise appropriate processing if necessary, and then storing it in a computer memory.

[0131] It should be understood that various parts of the present disclosure can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one of the following techniques known in the art or a combination thereof can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits with suitable combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), and the like.

[0132] Those of ordinary skill in the art can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing relevant hardware through a program. The said program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0133] In addition, in each of the various embodiments of the present disclosure, the functional units can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. When the above integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0134] The above-mentioned storage medium can be a read-only memory, a magnetic disk, an optical disc, or the like. Although the embodiments of the present disclosure have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A method for determining a frequency-domain correlation coefficient, characterized in that, including: determining a difference between a first beam carrying a tracking reference signal (TRS) and a second beam carrying a demodulation reference signal (DMRS); determining a target reference signal according to the difference between the first beam and the second beam, where the target reference signal is the TRS or the DMRS; determining a frequency-domain correlation coefficient based on the target reference signal.

2. The method according to claim 1, characterized in that, The determining a difference between a first beam carrying a tracking reference signal (TRS) and a second beam carrying a demodulation reference signal (DMRS) includes: determining a first quality parameter value of the TRS and a second quality parameter value of the DMRS; when a difference between the first quality parameter value and the second quality parameter value is less than or equal to a difference threshold, determining a first correlation value of the TRS and a second correlation value of the DMRS; when a ratio of the first correlation value to the second correlation value is greater than a ratio threshold, determining that there is a difference between the first beam and the second beam.

3. The method according to claim 2, wherein After the determining a first correlation value of the TRS and a second correlation value of the DMRS, it further includes: when the ratio of the first correlation value to the second correlation value is less than or equal to the ratio threshold, determining that there is no difference between the first beam and the second beam.

4. The method according to claim 2, wherein The determining a first correlation value of the TRS and a second correlation value of the DMRS includes: determining a common multiple N of a frequency-domain interval between the TRS and the DMRS; determining the first correlation value according to the common multiple N and a frequency-domain channel estimation value of a position carrying the TRS; determining the second correlation value according to the common multiple N and a frequency-domain channel estimation value of a position carrying the DMRS.

5. The method according to claim 4, wherein The determining the first correlation value according to the common multiple N and a frequency-domain channel estimation value of a position carrying the TRS includes: determining, according to the N, a first associated resource element (RE) group in each position carrying the TRS, where an index difference between two REs included in each first associated RE group is N / 4; determining a sub-correlation value corresponding to each first associated RE group according to frequency-domain channel estimation values of two REs in each first associated RE group; determining a mean value of sums of the sub-correlation values as the first correlation value.

6. The method according to claim 4, characterized in that The determining the second correlation value according to the common multiple N and a frequency-domain channel estimation value of a position carrying the DMRS includes: determining each boundle included in a position carrying the DMRS according to a number of boundles and a boundle size corresponding to the DMRS; determining, according to the N, a second associated RE group in each boundle, where an index difference between two REs included in each second associated RE group is 4; determining a sub-correlation value corresponding to each second associated RE group according to frequency-domain channel estimation values of two REs in each second associated RE group; determining a third correlation value of each boundle according to multiple sub-correlation values corresponding to each boundle; Determine the mean of the sum of the third correlation values of each of the said bundles as the second correlation value.

7. The method according to any one of claims 1-6, characterized in that The determining of the target reference signal according to the difference between the first beam and the second beam includes: When there is no difference between the first beam and the second beam, determine the target reference signal as the TRS; When there is a difference between the first beam and the second beam, determine the target reference signal as the DMRS.

8. An apparatus for determining a frequency domain correlation coefficient, characterized in that The apparatus includes: A first determination module, configured to determine the difference between a first beam carrying a tracking reference signal (TRS) and a second beam carrying a demodulation reference signal (DMRS); A second determination module, configured to determine a target reference signal according to the difference between the first beam and the second beam, where the target reference signal is the TRS or the DMRS; A third determination module, configured to determine a frequency-domain correlation coefficient based on the target reference signal.

9. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the method for determining the frequency-domain correlation coefficient as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for determining the frequency-domain correlation coefficient as described in any one of claims 1-7.

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