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

Abstract

The present disclosure 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 specific method comprises the following steps: determining the 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, wherein the target reference signal is the TRS or the DMRS; and determining the frequency domain correlation coefficient based on the target reference signal. Thus, the frequency domain correlation coefficient is calculated by selecting a reference signal suitable for the actual state of the channel, thereby improving the performance and accuracy of estimating the frequency domain correlation coefficient.

Description

Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to a method, apparatus, electronic device and storage medium for determining frequency domain correlation coefficients. Background Technology

[0002] Frequency domain correlation coefficient is a necessary prerequisite estimate for channel estimation, which can compensate for signal attenuation, reduce interference, and thus improve the performance of communication systems. Therefore, a more accurate method for estimating frequency domain correlation coefficient is needed to improve the accuracy of channel estimation. Summary of the Invention

[0003] This disclosure aims to at least partially address one of the technical problems in the related art.

[0004] The first aspect of this disclosure provides a method for determining the frequency domain correlation coefficient, including:

[0005] Determine the difference between the first beam of the carrying tracking reference signal TRS and the second beam of the carrying demodulation reference signal DMRS;

[0006] Based on the difference between the first beam and the second beam, a target reference signal is determined, wherein the target reference signal is the TRS or the DMRS;

[0007] Based on the target reference signal, the frequency domain correlation coefficient is determined.

[0008] A second aspect of this disclosure provides an apparatus for determining frequency domain correlation coefficients, comprising:

[0009] The first determining module is used to determine the difference between the first beam of the carrying tracking reference signal TRS and the second beam of the carrying demodulation reference signal DMRS;

[0010] The second determining module is used to determine a target reference signal based on the difference between the first beam and the second beam, wherein the target reference signal is the TRS or the DMRS;

[0011] The third determining module is used to determine the frequency domain correlation coefficient based on the target reference signal.

[0012] A third aspect of this disclosure provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, it implements a method for determining frequency domain correlation coefficients as proposed in a first aspect of this disclosure.

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

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

[0015] In this embodiment, the difference between the first beam carrying the tracking reference signal (TRS) and the second beam carrying the demodulation reference signal (DMRS) is first determined. Then, based on the difference between the first and second beams, the target reference signal is determined. Finally, based on the target reference signal, the frequency domain correlation coefficient is determined. Therefore, by selecting a reference signal suitable for the actual channel conditions 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 this disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this disclosure. Attached Figure Description

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

[0018] Figure 1 This is a flowchart illustrating a method for determining frequency domain correlation coefficients according to an embodiment of the present disclosure.

[0019] Figure 2 This is a flowchart illustrating a method for determining frequency domain correlation coefficients according to another embodiment of the present disclosure;

[0020] Figure 3 This is a schematic diagram of the boundary structure provided in this disclosure.

[0021] Figure 4 This is a schematic diagram of the structure of a device for determining frequency domain correlation coefficients provided in an embodiment of this disclosure;

[0022] Figure 5 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown. Detailed Implementation

[0023] Embodiments of this disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this disclosure, and should not be construed as limiting this disclosure.

[0024] The following description, with reference to the accompanying drawings, outlines a method, apparatus, electronic device, and storage medium for determining frequency domain correlation coefficients according to embodiments of the present disclosure.

[0025] Figure 1 This is a flowchart illustrating a method for determining frequency domain correlation coefficients provided in an embodiment of this disclosure.

[0026] This disclosure illustrates by exemplifying the method for determining frequency domain correlation coefficients being configured within an apparatus for determining frequency domain correlation coefficients. This apparatus can be applied to any electronic device, enabling the electronic device to perform the function of selecting a better reference signal and calculating the frequency domain correlation coefficient based on the differences between the beams of different types of reference signals.

[0027] It should be noted that the method for determining the frequency domain correlation coefficient proposed in this disclosure is mainly applied to New Radio (NR) systems where both the Tracking Reference Signal (TRS) and the Demodulation Reference Signal (DMRS) exist simultaneously.

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

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

[0030] In this embodiment of the disclosure, the first beam carrying the TRS can be determined based on long-period static beamforming configured on the TRS. The second beam carrying the DMRS can be determined by dynamic beamforming based on feedback from the Sounding Reference Signal (SRS) or the Precoding Matrix Indicator (PMI).

[0031] It should be noted that, in this 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, as well as the difference between the frequency domain correlation value of the TRS and the frequency domain correlation value of the DMRS.

[0032] In this embodiment, the signal quality of the TRS can be calculated first based on the frequency domain signal estimation result corresponding to the TRS, and the signal quality of the DMRS can be calculated based on the frequency domain signal estimation result corresponding to the DMRS. Then, the difference between the signal quality of the TRS and the signal quality of the DMRS is calculated. If 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, if 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 values ​​of the TRS and the DMRS. If 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, if 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 a 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 based on the difference between the first beam and the second beam.

[0034] The target reference signal is either TRS or DMRS.

[0035] Understandably, when the first and second beams are highly identical (i.e., without difference), the attenuation of the reference signal during transmission is uniform. Therefore, using TRS to calculate the frequency domain correlation coefficient will yield more accurate results, and it will perform better under some special channel types. However, when there is a significant difference between the first and second beams, the frequency domain correlation coefficient calculated using TRS will introduce a negative gain. In this case, the frequency domain correlation coefficient calculated using DMRS will be more accurate.

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

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

[0038] In this embodiment, the frequency domain correlation coefficient can be obtained based on the calculation method for the determined target reference signal. When the target reference signal is 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. Alternatively, when the target parameter signal is DMRS, the coefficient table of the assumed channel model corresponding to different delay spread levels can be obtained first. Then, the optimal delay spread level can be obtained by looking up the table according to the delay spread level, and the frequency domain correlation coefficient of the corresponding channel model can be found based on this level.

[0039] In this embodiment, the difference between the first beam carrying the tracking reference signal (TRS) and the second beam carrying the demodulation reference signal (DMRS) is first determined. Then, based on the difference between the first and second beams, the target reference signal is determined. Finally, based on the target reference signal, the frequency domain correlation coefficient is determined. Therefore, by selecting a reference signal suitable for the actual channel conditions to calculate the frequency domain correlation coefficient, the performance and accuracy of estimating the frequency domain correlation coefficient are improved.

[0040] Figure 2 This is a flowchart illustrating a method for determining frequency domain correlation coefficients according to an embodiment of the present disclosure, as shown below. Figure 2 As shown, the method for determining the frequency domain correlation coefficient may include the following steps:

[0041] Step 201: Determine the first mass parameter value of TRS and the second mass parameter value of DMRS.

[0042] The quality parameter value, which describes the signal quality of the reference signal, can be a value determined based on the signal strength and noise power of the reference signal.

[0043] In this embodiment, the frequency domain channel estimation result Hls corresponding to the TRS position in the Orthogonal Frequency Division Multiplexing (OFDM) symbol carrying the TRS can be obtained first based on the received TRS and the local reference signal LocalRS (i.e., pilot sequence). Then, the signal strength corresponding to the TRS can be calculated based on Hls, and the formula for calculating the signal strength is as shown in the following formula (1):

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

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

[0046] Then, Hls is used to calculate the noise power corresponding to TRS. The formula for calculating the noise power is shown in equation (2) below:

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

[0048] Then, based on the signal strength and noise power calculated using formulas (1) and (2), the first quality parameter value corresponding to TRS can be determined, as shown in formula (3) below:

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

[0050] It is understandable that the calculation process of the second mass parameter value SNR_DMRS of DMRS is the same as the calculation process of the first mass parameter value SNR_TRS of TRS, and will not be repeated here.

[0051] Step 202: If 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 TRS and the second correlation value of DMRS.

[0052] The difference threshold is an empirical value determined based on experimental statistical analysis, and this disclosure does not limit it.

[0053] In this embodiment of the disclosure, when the difference between the first quality parameter value and the second quality parameter value is less than or equal to a difference threshold, relying on the difference in quality parameter values ​​to determine whether there is a difference between the first beam and the second beam may not be accurate enough, because the difference in reference signal quality may be caused by 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 TRS and DMRS can be used to determine the similarity between TRS and DMRS in the frequency domain, and further determine the difference between the first beam and the second beam.

[0054] It is understandable that if 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 it is not necessary to continue to determine the first correlation value of TRS and the second correlation value of DMRS.

[0055] It should be noted that in some cases, the value of the first quality parameter may be less than the value of the second quality parameter. Therefore, when calculating the difference between the first and second quality parameter values, the result may be negative. In this case, when comparing it with the difference threshold, it will definitely be less than the difference threshold. Therefore, when calculating the difference between the first and second quality parameter values, the absolute value of the calculated difference can be taken, represented as abs(SNR_TRS-SNR_DMRS).

[0056] Optionally, the common multiple N of the frequency domain spacing between the TRS and DMRS can be determined first. Then, a first correlation value can be determined based on the common multiple N and the frequency domain channel estimate of the location carrying the TRS, and a second correlation value can be determined based on the common multiple N and the frequency domain channel estimate of the location carrying the DMRS.

[0057] For example, when the DMRS configuration type is Type 1, the interval of the DMRS physical resource element (RE) is 4, and the RE interval of the TRS is 4, so the common multiple N can be calculated to be 4. Alternatively, when the DMRS configuration type is Type 2, the interval of the DMRS physical resource element (RE) is 6, and the RE interval of the TRS is 4, so the common multiple N can be calculated to be 12.

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

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

[0060] Then, based on the frequency domain channel estimates 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 formula for calculating the sub-correlation value is as follows (4):

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

[0062] RSNUM refers to the number of available RS signals for TRS.

[0063] Then, the mean of the sum of each sub-correlation value can be calculated to obtain the first correlation value. The formula for calculating the first correlation value is as follows (5):

[0064]

[0065] Optionally, when calculating the second correlation value, the number and size of the boundary bounds corresponding to the DMRS can be used to determine the bounds contained in the location carrying the DMRS.

[0066] Here, the number of boundaries refers to how many boundaries are contained within an OFDM symbol. The boundary size refers to how many resource blocks (RBs) are contained within a boundary.

[0067] It should be noted that the number and size of the corresponding boundary may vary depending on the type of DMRS configured. For example, for Type 1, if a boundary contains two Resource Blocks (RBs), the boundary size is 2, each RB contains 12 Resource Blocks (REs), and 6 of the REs contain Resource Blocks (RSs).

[0068] Then, based on N, the second associated resource element (RE) group in each boundary is determined. The frequency domain spacing between different subcarriers (e.g., 15k, 30k, etc.) can be obtained. Based on the length of the product of N and the frequency domain spacing, the different REs in each boundary are associated to determine an RE group, and the correlation value is calculated.

[0069] It should be noted that the index difference between the two REs contained in each second associated RE group is 4. Since there are 12 REs in an RB, the index of the RE can be represented as 0, 1, 2, ..., 11. The indices of the 6 REs containing RS are 0, 2, 4, 6, 8, and 10, respectively. Due to code division multiplexing, the codes of REs with indices 0, 4, and 8 are different from those of REs with indices 2, 6, and 10, and correlation values ​​cannot be calculated. Therefore, RE with index 0 can calculate correlation values ​​with RE with index 4, RE with index 2 can calculate correlation values ​​with RE with index 6, and so on.

[0070] Then, based on the frequency domain channel estimates of the two REs in each second associated RE group, the sub-correlation value corresponding to each second associated RE group is determined. The formula for calculating the sub-correlation value is as follows (6):

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

[0072] Here, conj represents finding the conjugate of a complex number.

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

[0074] The following is combined with Figure 3 To explain, Figure 3 This is a schematic diagram of the boundary structure. Figure 3 As shown, for Type 1 DMRS, an OFDM symbol contains two boundaries, boundary0 and boundary1. Each boundary contains two basis points (PBs), and each PB contains six REs of the DMRS. Therefore, the indices of the 12 REs within a boundary can be represented as 0, 1, ..., 11. According to code division multiplexing, the indices of two REs in the second associated RE group differ by 2. That is, in... Figure 3 In the diagram, REs represented by dark colors can be correlated with each other to obtain correlation values, while REs represented by light colors can also be correlated with each other to obtain correlation values.

[0075] Then, based on the multiple sub-correlation values ​​corresponding to each boundary, the sum of the multiple sub-correlation values ​​can be calculated to obtain the third correlation value of each boundary. The formula for calculating the third correlation value is as follows (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] Then, the mean of the sum of the third correlation values ​​of each boundary can be determined as the second correlation value. The formula for calculating the second correlation value is as follows (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 based on the relationship between the ratio of the first correlation value to the second correlation value and the proportional threshold.

[0080] In this embodiment of the disclosure, a difference between the first beam and the second beam can be determined if the ratio of the first correlation value to the second correlation value is greater than a proportional threshold. Alternatively, no difference between the first beam and the second beam can be determined if 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 the target reference signal based on the difference between the first beam and the second beam.

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

[0083] The descriptions of steps 204 to 205 above can be found in the above embodiments, and will not be repeated here.

[0084] In this embodiment, the first quality parameter value of the TRS and the second quality parameter value of the DMRS are first determined. If the difference between the first and second quality parameter values ​​is less than or equal to a difference threshold, the first correlation value of the TRS and the second correlation value of the DMRS are then determined. Then, based on the relationship between the ratio of the first and second correlation values ​​and a proportional threshold, the difference between the first and second beams is determined. Thus, by sequentially judging the difference between the TRS and DMRS beams based on the quality parameters and frequency domain correlation values ​​of the reference signal, the accuracy and reliability of beam difference judgment are improved, making the selection of the reference signal used to calculate the frequency domain correlation coefficient more reliable.

[0085] To implement the above embodiments, this disclosure also proposes an apparatus for determining frequency domain correlation coefficients.

[0086] Figure 4 This is a schematic diagram of the apparatus for determining frequency domain correlation coefficients provided in an embodiment of this disclosure.

[0087] like Figure 4 As shown, the apparatus 400 for determining the frequency domain correlation coefficient may include:

[0088] The first determining module 401 is used to determine the difference between the first beam carrying the tracking reference signal TRS and the second beam carrying the demodulation reference signal DMRS.

[0089] The second determining module 402 is used to determine a target reference signal based on the difference between the first beam and the second beam, wherein the target reference signal is a TRS or a DMRS.

[0090] The third determining module 403 is used to determine the frequency domain correlation coefficient based on the target reference signal.

[0091] In some embodiments, the first determining module 401 is specifically used for:

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

[0093] If 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 TRS and the second correlation value of DMRS.

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

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

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

[0097] In some embodiments, the first determining module 401 is specifically used for:

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

[0099] The first correlation value is determined based on the common multiple N and the frequency domain channel estimate of the location carrying the TRS;

[0100] The second correlation value is determined based on the common multiple N and the frequency domain channel estimate of the location carrying the DMRS.

[0101] In some embodiments, the first determining module 401 is specifically used for:

[0102] Based on N, determine the first associated resource element (RE) group in each location carrying the TRS, wherein the index difference between the two REs contained in each first associated RE group is N / 4;

[0103] Based on the frequency domain channel estimates of the two REs in each first associated RE group, determine the sub-correlation value corresponding to each first associated RE group;

[0104] The mean of the sums of all sub-correlation values ​​is determined as the first correlation value.

[0105] In some embodiments, the first determining module 401 is specifically used for:

[0106] Based on the number and size of the boundary bounds corresponding to the DMRS, determine the bounds contained in the location carrying the DMRS;

[0107] Based on N, determine the second associated resource element (RE) group in each bounding, where the index difference between the two REs contained in each second associated RE group is 4;

[0108] Based on the frequency domain channel estimates of the two REs in each second associated RE group, determine the sub-correlation value corresponding to each second associated RE group;

[0109] Based on the multiple sub-correlation values ​​corresponding to each boundary, determine the third correlation value for each boundary;

[0110] The mean of the sum of the third correlation values ​​of each boundary is determined as the second correlation value.

[0111] In some embodiments, the second determining module 402 is specifically used for:

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

[0113] When there is a difference between the first and second beams, the target reference signal is determined to be DMRS.

[0114] The functions and specific implementation principles of the modules described in this embodiment can be found in the above method embodiments, and will not be repeated here.

[0115] The apparatus for determining the frequency domain correlation coefficient according to embodiments of this disclosure first determines the difference between a first beam carrying a tracking reference signal (TRS) and a second beam carrying a demodulation reference signal (DMRS). Then, based on the difference between the first and second beams, a target reference signal is determined. Finally, based on the target reference signal, the frequency domain correlation coefficient is determined. Therefore, by selecting a reference signal suitable for the actual channel conditions 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, this disclosure also proposes an electronic device, including: a memory, a processor, and a computer program stored in 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 this disclosure.

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

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

[0119] like Figure 5 As shown, the electronic device 12 is represented 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, system memory 28, and bus 18 connecting different system components (including system memory 28 and processing unit 16).

[0120] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (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 non-volatile 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 / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (… Figure 5 Not shown; usually referred to as a "hard drive"). Although Figure 5 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disc drive for reading and writing to a removable non-volatile optical disc (e.g., a compact disc read-only memory (CD-ROM), a digital video disc read-only memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via 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 embodiments of this disclosure.

[0123] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in 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. Program modules 42 typically perform the functions and / or methods described in the embodiments of this disclosure.

[0124] Electronic device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable a user to interact with electronic device 12, and / or with any device that enables electronic device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 22. Furthermore, electronic device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with other modules of electronic device 12 via 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 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.

[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 disclosed herein improves the performance and accuracy of estimating the frequency domain correlation coefficient by selecting a reference signal suitable for the actual channel conditions to calculate the frequency domain correlation coefficient.

[0127] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this disclosure. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0128] Furthermore, 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 number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this disclosure, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0129] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of preferred embodiments of this disclosure includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of this disclosure pertain.

[0130] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

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

[0132] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0133] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as 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 storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those skilled 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 the frequency domain correlation coefficient, characterized in that, include: Determine the first quality parameter value of the bearer tracking reference signal TRS and the second quality parameter value of the bearer demodulation reference signal DMRS; If the difference between the first quality parameter value and the second quality parameter value is less than or equal to the difference threshold, the common multiple N of the frequency domain spacing between the TRS and the DMRS is determined. Based on the common multiple N and the frequency domain channel estimate of the location carrying the TRS, the first correlation value of the TRS is determined; The second correlation value of the DMRS is determined based on the common multiple N and the frequency domain channel estimate of the location carrying the DMRS; Based on the first correlation value and the second correlation value, determine the difference between the first beam of the TRS and the second beam of the DMRS; Based on the difference between the first beam and the second beam, a target reference signal is determined, wherein the target reference signal is the TRS or the DMRS; Based on the target reference signal, the frequency domain correlation coefficient is determined.

2. The method as described in claim 1, characterized in that, The step of determining the difference between the first beam of the TRS and the second beam of the DMRS based on the first correlation value and the second correlation value includes: If the ratio of the first correlation value to the second correlation value is greater than a proportional threshold, it is determined that there is a difference between the first beam and the second beam.

3. The method as described in claim 2, characterized in that, After determining the first correlation value of the TRS and the second correlation value of the DMRS, the method further includes: If the ratio of the first correlation value to the second correlation value is less than or equal to a proportional threshold, it is determined that there is no difference between the first beam and the second beam.

4. The method as described in claim 2, characterized in that, The step of determining the first correlation value of the TRS based on the common multiple N and the frequency domain channel estimation value of the location carrying the TRS includes: Based on N, determine the first associated resource element (RE) group in each location carrying the TRS, wherein the index difference between the two REs contained in each first associated RE group is N / 4; Based on the frequency domain channel estimates of the two REs in each of the first associated RE groups, determine the sub-correlation value corresponding to each of the first associated RE groups; The mean of the sums of all sub-correlation values ​​is determined as the first correlation value.

5. The method as described in claim 2, characterized in that, The step of determining the second correlation value of the DMRS based on the common multiple N and the frequency domain channel estimation value of the location carrying the DMRS includes: Based on the number and size of the boundary corresponding to the DMRS, determine the boundary contained in the location carrying the DMRS; Based on N, determine a second associated resource element (RE) group in each bounding, wherein the index difference between the two REs contained in each second associated RE group is 4; Based on the frequency domain channel estimates of the two REs in each second associated RE group, determine the sub-correlation value corresponding to each second associated RE group; Based on the multiple sub-correlation values ​​corresponding to each bounde, determine the third correlation value for each bounde; The average of the sums of the third correlation values ​​of each bounding is determined as the second correlation value.

6. The method according to any one of claims 1-5, characterized in that, The step of determining the target reference signal based on the difference between the first beam and the second beam includes: When there is no difference between the first beam and the second beam, the target reference signal is determined to be TRS; When there is a difference between the first beam and the second beam, the target reference signal is determined to be DMRS.

7. An apparatus for determining frequency domain correlation coefficients, characterized in that, The device includes: A first determining module is configured to: determine a first quality parameter value for a carrying tracking reference signal (TRS) and a second quality parameter value for a carrying demodulation reference signal (DMRS); determine a common multiple N of the frequency domain spacing between the TRS and the DMRS if the difference between the first and second quality parameter values ​​is less than or equal to a difference threshold; determine a first correlation value for the TRS based on the common multiple N and a frequency domain channel estimate of the location carrying the TRS; determine a second correlation value for the DMRS based on the common multiple N and the frequency domain channel estimate of the location carrying the DMRS; and determine the difference between the first beam of the TRS and the second beam of the DMRS based on the first and second correlation values. The second determining module is used to determine a target reference signal based on the difference between the first beam and the second beam, wherein the target reference signal is the TRS or the DMRS; The third determining module is used to determine the frequency domain correlation coefficient based on the target reference signal.

8. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, it implements the method for determining the frequency domain correlation coefficient as described in any one of claims 1-6.

9. 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 1-6.

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