Method, device, electronic device, storage medium and program product for determining root mean square delay value of channel

Abstract

The present invention provides a method, device, electronic device, storage medium and program product for determining the root mean square delay value of a channel, which relates to the field of communication technology. The frequency domain correlation coefficient is determined and calculated according to multiple channel estimation values, so as to accurately calculate the calculated frequency domain correlation coefficient of each reference signal resource element. The theoretical frequency domain correlation coefficient is determined according to the preset root mean square delay value, the interval between two adjacent reference signal resource elements and the subcarrier interval, so as to accurately calculate the theoretical frequency domain correlation coefficient. By determining the matching theoretical frequency domain correlation coefficient, the root mean square delay value of the channel is obtained, and the root mean square delay value is determined according to the stable channel estimation value, the preset root mean square delay value, the interval between the reference signal resource elements and the subcarrier interval, so as to avoid transform domain processing of the frequency domain channel estimation value, and also avoid detecting the delay and power of each path, so as to improve the accuracy of determining the root mean square delay value of the channel.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a method, device, electronic device, storage medium and program product for determining a root mean square delay value of a channel. Background Art

[0002] In the Cyclic Prefix Orthogonal Frequency Division Multiplexing (CP-OFDM) system, the two main parameters used in the calculation of filter coefficients are the signal-to-noise ratio (SNR) and the root mean square delay of the channel.

[0003] In engineering, wireless channels have very complex propagation paths, which can lead to large variations in multipath delay. If a fixed RMS delay is used, the resulting correlation function mismatch will cause a certain loss in channel estimation performance. Based on this, the industry has proposed an adaptive parameter channel estimation coefficient adjustment algorithm, which adaptively adjusts the channel estimation parameters and generates accurate channel estimation coefficients to filter the channel response by calculating the RMS delay spread and signal-to-noise ratio of the channel.

[0004] The basic idea of ​​the existing RMS delay calculation method is to transform the frequency domain channel estimation value into the time domain through inverse fast Fourier transform (IFFT) through transform domain processing to obtain the time domain channel estimation value, and then find the delay corresponding to each existing path according to the defined threshold value, and then calculate the RMS delay value of the channel.

[0005] The existing calculation of RMS delay requires transform domain processing to obtain the delay and power corresponding to each path. However, in practice, due to factors such as the air interface environment and threshold settings, it is impossible to accurately detect each path and the delay corresponding to each path, which leads to errors in the calculation of RMS delay. Summary of the invention

[0006] The present invention provides a method, device, electronic device, storage medium and program product for determining a root mean square delay value of a channel, so as to solve the defect of error in calculating the root mean square delay in the prior art and improve the accuracy of calculating the root mean square delay value.

[0007] The present invention provides a method for determining a root mean square delay value of a channel, comprising the following steps: determining a calculated frequency domain correlation coefficient of a channel corresponding to a reference signal resource element based on channel estimation values ​​of multiple reference signal resource elements in a long term evolution (LTE) system; determining a theoretical frequency domain correlation coefficient corresponding to each preset root mean square delay value based on a preset root mean square delay value of the LTE system, an interval between two adjacent reference signal resource elements, and a subcarrier interval of the LTE system; determining a matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among multiple theoretical frequency domain correlation coefficients; and using a preset root mean square delay value corresponding to the matching theoretical frequency domain correlation coefficient as the root mean square delay value of the channel.

[0008] According to the method for determining the root mean square delay value of a channel provided by the present invention, a matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient is determined among multiple theoretical frequency domain correlation coefficients, including: determining the received signal strength indication RSSI of the channel based on received signals of multiple reference signal resource elements; determining the reference signal received power of the channel based on the difference between RSSI and the noise power of the channel; determining the actual frequency domain correlation coefficient corresponding to the theoretical frequency domain correlation coefficient based on the product of the reference signal received power and the theoretical frequency domain correlation coefficient; obtaining the error between the calculated frequency domain correlation coefficient and each actual frequency domain correlation coefficient, and taking the theoretical frequency domain correlation coefficient corresponding to the minimum error as the matching theoretical frequency domain correlation coefficient.

[0009] According to the method for determining the root mean square delay value of a channel provided by the present invention, a matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient is determined among multiple theoretical frequency domain correlation coefficients, including: performing conjugate processing on the theoretical frequency domain correlation coefficient to obtain the conjugate complex number of the theoretical frequency domain correlation coefficient; obtaining the correlation value of each theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient based on the product of the conjugate complex number of the theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient; and using the theoretical frequency domain correlation coefficient corresponding to the maximum correlation value as the matching theoretical frequency domain correlation coefficient.

[0010] According to the method for determining the root mean square delay value of a channel provided by the present invention, a calculated frequency domain correlation coefficient of a channel corresponding to a reference signal resource element is determined based on the channel estimation values ​​of multiple reference signal resource elements in a long term evolution LTE system, including: obtaining a current channel estimation value of a current reference signal resource element, obtaining a next channel estimation value of a next reference signal resource element adjacent to the current reference signal resource element; performing conjugate processing on the current channel estimation value to obtain a conjugate complex number of the current channel estimation value; determining a correlation value of the channel estimation values ​​of the adjacent current reference signal resource element and the next reference signal resource element based on the product value of the conjugate complex number of the current channel estimation value and the next channel estimation value; and taking the average value of the correlation values ​​of the channel estimation values ​​of all two adjacent reference signal resource elements as the calculated frequency domain correlation coefficient.

[0011] According to the method for determining the root mean square delay value of a channel provided by the present invention, the received signal strength indication RSSI of the channel is determined based on the received signals of multiple reference signal resource elements, including: squaring each received signal to obtain the square value of the received signal; and taking the average value of all the square values ​​of the received signals as the RSSI.

[0012] According to the method for determining the root mean square delay value of a channel provided by the present invention, the noise power is determined based on the following steps: obtaining a first reference signal and a first received signal of a first reference signal resource element, obtaining a second reference signal and a second received signal of a second reference signal resource element, wherein the first reference signal resource element and the second reference signal resource element are two adjacent reference signal resource elements; and determining the noise power based on the first reference signal, the first received signal, the second reference signal, and the second received signal.

[0013] The present invention also provides a device for determining a root mean square delay value of a channel, comprising: a calculation frequency domain correlation coefficient determination module, used for determining a calculation frequency domain correlation coefficient of a channel corresponding to a reference signal resource element based on channel estimation values ​​of multiple reference signal resource elements in a long term evolution LTE system; a theoretical frequency domain correlation coefficient determination module, used for determining a theoretical frequency domain correlation coefficient corresponding to each preset root mean square delay value based on a preset root mean square delay value of the LTE system, an interval between two adjacent reference signal resource elements and a subcarrier interval of the LTE system; a matching theoretical frequency domain correlation coefficient determination module, used for determining a matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among multiple theoretical frequency domain correlation coefficients; and a root mean square delay value determination module, used for using a preset root mean square delay value corresponding to the matching theoretical frequency domain correlation coefficient as the root mean square delay value of the channel.

[0014] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, a method for determining a root mean square delay value of any of the above channels is implemented.

[0015] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for determining a root mean square delay value of any of the above channels is implemented.

[0016] The present invention also provides a computer program product, comprising a computer program, which implements the method for determining the root mean square delay value of any channel as described above when the computer program is executed by a processor.

[0017] The method, device, electronic device, storage medium and program product for determining the root mean square delay value of a channel provided by the present invention determine and calculate the frequency domain correlation coefficient according to multiple channel estimation values, thereby realizing accurate calculation of the calculated frequency domain correlation coefficient of each reference signal resource element. The theoretical frequency domain correlation coefficient is determined according to the preset root mean square delay value, the interval between two adjacent reference signal resource elements and the subcarrier interval, thereby realizing accurate calculation of each theoretical frequency domain correlation coefficient. By determining the matching theoretical frequency domain correlation coefficient, and then obtaining the root mean square delay value of the channel, it is realized that the root mean square delay value of the channel is determined according to the stable channel estimation value, the preset root mean square delay value, the interval between two adjacent reference signal resource elements and the subcarrier interval, thereby avoiding transform domain processing of the frequency domain channel estimation value, and also avoiding the detection of the delay and power of each path, thereby improving the accuracy of determining the root mean square delay value of the channel. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a flow chart of the method for determining the root mean square delay value of a channel provided by the present invention.

[0020] Figure 2 It is a structural schematic diagram of a device for determining a root mean square delay value of a channel provided by the present invention.

[0021] Figure 3 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Combine the following Figure 1-Figure 3 The invention describes a method, device and electronic device for determining a root mean square delay value of a channel.

[0024] In the CP-OFDM system, the algorithms for channel estimation include Least Squares (LS), Minimum Mean Square Error (MMSE), etc.

[0025] LS estimation only needs one divider to estimate the pilot point channel response. Its computational complexity increases only linearly with the number of pilot points. It has low complexity and fast computation, and is suitable for high-speed transmission communication systems such as CP-OFDM. However, the accuracy of LS estimation is easily affected by Gaussian noise and inter-subcarrier interference. Since the channel response of the data subcarrier is completely obtained by interpolation filtering from the channel estimate of the pilot subcarrier, the performance of CP-OFDM system equalization depends largely on the accuracy of the pilot point channel estimation.

[0026] MMSE estimation is mainly based on channel parameters, filter coefficients are designed according to certain criteria, and the LS channel estimation results are filtered. MMSE estimation can obtain better estimation accuracy than LS estimation. At the same mean square error (MSE) value, the signal-to-noise ratio of MMSE estimation is 10-15dB higher than that of LS. However, the main disadvantage of MMSE estimation is its high algorithm complexity. As the number of operation points increases, its algorithm complexity increases exponentially. In order to facilitate engineering applications, a simplified version of the MMSE algorithm, the Linear Minimum Mean Squared Error (LMMSE) algorithm, was proposed to convert the complex two-dimensional time-frequency filtering of MMSE into two one-dimensional filtering. However, the inverse matrix needs to be calculated in the calculation process of the two filter coefficients of the LMMSE algorithm. When the matrix dimension is relatively high, the complexity of the matrix inversion will be greatly increased. The two parameters SNR and the root mean square delay value of the channel are mainly used in the calculation of LMMSE filter coefficients.

[0027] Since the calculation process of LMMSE filter coefficients involves matrix inversion, when the matrix dimension is high, the calculation complexity will be very large. Therefore, a set of root mean square delay values ​​and SNRs will be set in advance. The filter coefficients are calculated according to the preset root mean square delay values ​​and SNRs, and saved in a table. When implementing, the filtering is performed by looking up the table.

[0028] The table lookup is mainly realized by calculating the RMS delay and SNR in real time. The basic idea of ​​the existing RMS delay calculation method is to transform the frequency domain channel estimation value into the time domain through transform domain processing, and then obtain the time domain channel estimation value. Then, according to the defined threshold value, find the delay corresponding to each existing path (channel), and then calculate the RMS delay value. The calculation formula of the RMS delay value is as follows.

[0029] ;

[0030] in, is the RMS delay value, is the unified power value corresponding to each path, is the delay corresponding to each path, in nanoseconds.

[0031] The above RMS delay value calculation method requires transform domain processing to obtain the delay and power corresponding to each path, but in practice it is not possible to accurately detect each path and the delay corresponding to each path. This application proposes a method for determining the RMS delay value of a channel, which can accurately calculate the RMS delay value of a channel without transform domain processing and detecting the delay and power of each path.

[0032] Figure 1 is a flow chart of a method for determining a root mean square delay value of a channel provided by the present invention, such as Figure 1 As shown, the method for determining the root mean square delay value of the channel includes steps S100 to S400, and each step is specifically as follows.

[0033] S100: Determine a calculated frequency domain correlation coefficient of a channel corresponding to a reference signal resource element based on channel estimation values ​​of a plurality of reference signal resource elements in a long term evolution LTE system.

[0034] In the Long Term Evolution (LTE) system of the present application, on a Cell-specific Reference Signals (CRS) symbol, each Resource Block (RB) is provided with a first fixed number (e.g., 2) of Reference Signal Resource Elements (RSREs). A second fixed number (e.g., 6) of subcarriers are spaced between two adjacent RS REs.

[0035] Based on the channel estimation values ​​of multiple reference signal resource elements in a long term evolution (LTE) system, the calculated frequency domain correlation coefficient of the channel corresponding to the reference signal resource element is determined. Specifically, a current channel estimation value of the current reference signal resource element is obtained, and a next channel estimation value of the next reference signal resource element adjacent to the current reference signal resource element is obtained; the current channel estimation value is conjugated to obtain a conjugate complex number of the current channel estimation value; the correlation value of the channel estimation values ​​of the adjacent current reference signal resource element and the next reference signal resource element is determined based on the product value of the conjugate complex number of the current channel estimation value and the next channel estimation value; and the average value of the correlation values ​​of the channel estimation values ​​of all two adjacent reference signal resource elements is used as the calculated frequency domain correlation coefficient.

[0036] According to the user frequency domain resource configuration, the received signal in the frequency domain corresponding to each RS RE is obtained, and the LS channel estimation value corresponding to the RS RE is calculated ( ). The channel estimation value is obtained according to the frequency domain position of the RS RE specified in the communication protocol of the LTE system, for example, , ,..., ,... The frequency domain correlation coefficient of the channel corresponding to the reference signal resource element is determined based on the channel estimation values ​​of the multiple reference signal resource elements in the long term evolution LTE system. The calculation formula for calculating the frequency domain correlation coefficient is as follows.

[0037] ;

[0038] in, To calculate the frequency domain correlation coefficient, is the number of RS REs, is the current channel estimation value of the current reference signal resource element, is the next channel estimation value of the next reference signal resource element adjacent to the current reference signal resource element, is the conjugate complex number of the current channel estimate.

[0039] The present application determines the correlation value of the channel estimation value according to the product value of the conjugate complex number of the current channel estimation value and the next channel estimation value, thereby realizing accurate quantification of the correlation between two adjacent channel estimation values. The frequency domain correlation coefficient is calculated according to the average value of the correlation value of the channel estimation values ​​of all two adjacent reference signal resource elements, comprehensively considering the influence of all channel estimation values ​​on the calculation of the frequency domain correlation coefficient, thereby improving the accuracy of determining the calculation of the frequency domain correlation coefficient.

[0040] S200: Determine a theoretical frequency domain correlation coefficient corresponding to each preset root mean square delay value based on a preset root mean square delay value of the LTE system, an interval between two adjacent reference signal resource elements, and a subcarrier interval of the LTE system.

[0041] A plurality of preset root mean square delay values ​​are determined according to the channels specified by the communication protocol of the LTE system. A theoretical frequency domain correlation coefficient corresponding to each preset root mean square delay value is determined according to the preset root mean square delay value, the interval between two adjacent reference signal resource elements, and the subcarrier interval of the LTE system. The calculation formula of the theoretical frequency domain correlation coefficient is as follows.

[0042] ;

[0043] in, For the The theoretical frequency domain correlation coefficient corresponding to a preset RMS delay value, is the imaginary unit in complex numbers, is plural, For the A preset RMS delay value, is the interval between two adjacent RS REs, is the subcarrier spacing in the LTE system.

[0044] Furthermore, a theoretical frequency domain correlation coefficient corresponding to each preset root mean square delay value is determined to obtain a plurality of theoretical frequency domain correlation coefficients.

[0045] S300: Determine, from among a plurality of theoretical frequency domain correlation coefficients, a matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient.

[0046] Determine the matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among multiple theoretical frequency domain correlation coefficients, for example, determine the error between the calculated frequency domain correlation coefficient and each theoretical frequency domain correlation coefficient, and use the theoretical frequency domain correlation coefficient with the smallest error as the matching theoretical frequency domain correlation coefficient. Alternatively, determine the correlation (correlation value) between the calculated frequency domain correlation coefficient and each theoretical frequency domain correlation coefficient, and use the theoretical frequency domain correlation coefficient with the largest correlation value as the matching theoretical frequency domain correlation coefficient. Alternatively, determine the Euclidean distance between the calculated frequency domain correlation coefficient and each theoretical frequency domain correlation coefficient, and use the theoretical frequency domain correlation coefficient with the shortest Euclidean distance as the matching theoretical frequency domain correlation coefficient.

[0047] S400: Using a preset RMS delay value corresponding to the matching theoretical frequency domain correlation coefficient as a RMS delay value of the channel.

[0048] Determine the frequency domain position (pos) corresponding to the matching theoretical frequency domain correlation coefficient. For example, the value of pos ranges from 1 to N. The root mean square delay value corresponding to the pos is found from the preset root mean square delay values, and the preset root mean square delay value corresponding to the matching theoretical frequency domain correlation coefficient is used as the root mean square delay value used by the current channel.

[0049] The method for determining the root mean square delay value of a channel provided in an embodiment of the present application determines and calculates a frequency domain correlation coefficient based on multiple channel estimation values, thereby realizing accurate calculation of the calculated frequency domain correlation coefficient of each reference signal resource element. The theoretical frequency domain correlation coefficient is determined based on a preset root mean square delay value, the interval between two adjacent reference signal resource elements, and the subcarrier interval, thereby realizing accurate calculation of each theoretical frequency domain correlation coefficient. By determining the matching theoretical frequency domain correlation coefficient, and then obtaining the root mean square delay value of the channel, it is realized that the root mean square delay value of the channel is determined based on a stable channel estimation value, a preset root mean square delay value, the interval between two adjacent reference signal resource elements, and the subcarrier interval, thereby avoiding transform domain processing of the frequency domain channel estimation value, and also avoiding detecting the delay and power of each path, thereby improving the accuracy of determining the root mean square delay value of the channel.

[0050] Based on the above embodiment, determining a matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among multiple theoretical frequency domain correlation coefficients includes steps S310 to S340, and each step is specifically as follows.

[0051] S310: Determine a received signal strength indication RSSI of a channel based on received signals of a plurality of reference signal resource elements.

[0052] S320: Determine a reference signal received power of the channel based on a difference between the RSSI and the noise power of the channel.

[0053] S330: Determine an actual frequency domain correlation coefficient corresponding to the theoretical frequency domain correlation coefficient based on the product of the reference signal received power and the theoretical frequency domain correlation coefficient.

[0054] S340: Obtain the error between the calculated frequency domain correlation coefficient and each actual frequency domain correlation coefficient, and use the theoretical frequency domain correlation coefficient corresponding to the minimum error as the matching theoretical frequency domain correlation coefficient.

[0055] The received signal strength indication RSSI of the channel is determined based on the received signals of the multiple reference signal resource elements. Specifically, each received signal is squared to obtain a square value of the received signal; and an average value of all the square values ​​of the received signals is taken as the RSSI.

[0056] The received signal strength indicator RSSI of the channel is determined based on the received signals of the multiple reference signal resource elements. The calculation formula of RSSI is as follows.

[0057] ;

[0058] in, is the received signal in the frequency domain corresponding to RS RE, is the number of RS REs, is the square value of the received signal.

[0059] The present application determines the received signal strength indication based on the received signal that can be accurately determined, thereby achieving accurate calculation of the received signal strength indication, which is beneficial to improving the accuracy of calculating the root mean square delay value of the channel.

[0060] The noise power is determined based on the following steps: obtaining a first reference signal and a first received signal of a first reference signal resource element, obtaining a second reference signal and a second received signal of a second reference signal resource element, wherein the first reference signal resource element and the second reference signal resource element are two adjacent reference signal resource elements; and determining the noise power based on the first reference signal, the first received signal, the second reference signal, and the second received signal.

[0061] The channels corresponding to the first reference signal resource element and the second reference signal resource element are the same channel. The calculation formula of the noise power is as follows.

[0062] ;

[0063] in, is the noise power, is the first received signal, is the first reference signal, is the second received signal, is the second reference signal.

[0064] The first reference signal, the first received signal, the second reference signal, and the second received signal are data that can actually be accurately measured.

[0065] The present application determines the noise power based on data that can actually be accurately measured, such as the first reference signal, the first received signal, the second reference signal, and the second received signal, thereby achieving accurate calculation of the noise power, which is beneficial to improving the accuracy of determining the root mean square delay value of the channel.

[0066] The reference signal received power of the channel is determined based on the difference between the RSSI and the noise power of the channel. The calculation formula of the reference signal received power is as follows.

[0067] ;

[0068] in, is the reference signal received power, For receiving signal strength indication, is the noise power.

[0069] The calculation formula for the error between the calculated frequency domain correlation coefficient and the actual frequency domain correlation coefficient is as follows.

[0070] ;

[0071] in, To calculate the frequency domain correlation coefficient and The error between the actual frequency domain correlation coefficients is For the The actual frequency domain correlation coefficient, is the reference signal received power, For the The theoretical frequency domain correlation coefficient corresponding to a preset RMS delay value.

[0072] The error between the calculated frequency domain correlation coefficient and each actual frequency domain correlation coefficient is determined according to the above formula, and the theoretical frequency domain correlation coefficient corresponding to the minimum error is used as the matching theoretical frequency domain correlation coefficient.

[0073] The present application realizes accurate quantification of the deviation between the calculated frequency domain correlation coefficient and the theoretical frequency domain correlation coefficient based on the reference signal receiving power, the theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient calculation error, which is conducive to accurately determining the matching theoretical frequency domain correlation coefficient.

[0074] Based on the above embodiment, determining a matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among multiple theoretical frequency domain correlation coefficients includes steps S350 to S370, and each step is specifically as follows.

[0075] S350: performing conjugate processing on the theoretical frequency domain correlation coefficient to obtain a conjugate complex number of the theoretical frequency domain correlation coefficient.

[0076] S360: Obtaining a correlation value between each theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient based on the product value of the conjugate complex number of the theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient.

[0077] S370: Using the theoretical frequency domain correlation coefficient corresponding to the maximum correlation value as the matching theoretical frequency domain correlation coefficient.

[0078] The correlation value of each theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient is obtained according to the product value of the conjugate complex number of the theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient. The calculation formula of the correlation value is as follows.

[0079] ;

[0080] in, For the The correlation value of the theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient, To calculate the frequency domain correlation coefficient, For the The theoretical frequency domain correlation coefficient corresponding to a preset RMS delay value, For conjugation treatment.

[0081] The correlation value between each theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient is calculated according to the above formula, and the theoretical frequency domain correlation coefficient corresponding to the maximum correlation value is used as the matching theoretical frequency domain correlation coefficient.

[0082] The present application calculates the correlation value based on the conjugate complex number of the theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient, thereby achieving accurate quantification of the correlation between the calculated frequency domain correlation coefficient and the theoretical frequency domain correlation coefficient, which is conducive to accurately determining the matching theoretical frequency domain correlation coefficient.

[0083] The following is a description of a device for determining a root mean square delay value of a channel provided by the present invention. The device for determining a root mean square delay value of a channel described below and the method for determining a root mean square delay value of a channel described above can be referred to each other.

[0084] like Figure 2 As shown, a device for determining a root mean square delay value of a channel includes: a frequency domain correlation coefficient calculation determination module 201, which is used to determine the calculated frequency domain correlation coefficient of the channel corresponding to the reference signal resource element based on the channel estimation values ​​of multiple reference signal resource elements in a long term evolution LTE system.

[0085] The theoretical frequency domain correlation coefficient determination module 202 is used to determine the theoretical frequency domain correlation coefficient corresponding to each preset RMS delay value based on the preset RMS delay value of the LTE system, the interval between two adjacent reference signal resource elements and the subcarrier interval of the LTE system.

[0086] The matching theoretical frequency domain correlation coefficient determination module 203 is used to determine the matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among multiple theoretical frequency domain correlation coefficients.

[0087] The RMS delay value determination module 204 is configured to use the preset RMS delay value corresponding to the matching theoretical frequency domain correlation coefficient as the RMS delay value of the channel.

[0088] The device for determining the root mean square delay value of a channel provided by an embodiment of the present invention determines and calculates the frequency domain correlation coefficient according to multiple channel estimation values, thereby realizing accurate calculation of the calculated frequency domain correlation coefficient of each reference signal resource element. The theoretical frequency domain correlation coefficient is determined according to the preset root mean square delay value, the interval between two adjacent reference signal resource elements and the subcarrier interval, thereby realizing accurate calculation of each theoretical frequency domain correlation coefficient. By determining the matching theoretical frequency domain correlation coefficient, the root mean square delay value of the channel is obtained, and the root mean square delay value of the channel is determined according to the stable channel estimation value, the preset root mean square delay value, the interval between two adjacent reference signal resource elements and the subcarrier interval, thereby avoiding transform domain processing of the frequency domain channel estimation value, and also avoiding detecting the delay and power of each path, thereby improving the accuracy of determining the root mean square delay value of the channel.

[0089] In one embodiment, the matching theoretical frequency domain correlation coefficient determination module 203 is used to: determine the received signal strength indication RSSI of the channel based on the received signals of multiple reference signal resource elements; determine the reference signal received power of the channel based on the difference between the RSSI and the noise power of the channel; determine the actual frequency domain correlation coefficient corresponding to the theoretical frequency domain correlation coefficient based on the product of the reference signal received power and the theoretical frequency domain correlation coefficient; obtain the error between the calculated frequency domain correlation coefficient and each actual frequency domain correlation coefficient, and use the theoretical frequency domain correlation coefficient corresponding to the minimum error as the matching theoretical frequency domain correlation coefficient.

[0090] In one embodiment, the matching theoretical frequency domain correlation coefficient determination module 203 is used to: perform conjugate processing on the theoretical frequency domain correlation coefficient to obtain the conjugate complex number of the theoretical frequency domain correlation coefficient; obtain the correlation value of each theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient based on the product of the conjugate complex number of the theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient; and use the theoretical frequency domain correlation coefficient corresponding to the maximum correlation value as the matching theoretical frequency domain correlation coefficient.

[0091] In one embodiment, the frequency domain correlation coefficient calculation module 201 is used to: obtain the current channel estimation value of the current reference signal resource element, obtain the next channel estimation value of the next reference signal resource element adjacent to the current reference signal resource element; perform conjugate processing on the current channel estimation value to obtain the conjugate complex number of the current channel estimation value; determine the correlation value of the channel estimation values ​​of the adjacent current reference signal resource element and the next reference signal resource element based on the product of the conjugate complex number of the current channel estimation value and the next channel estimation value; and use the average value of the correlation values ​​of the channel estimation values ​​of all two adjacent reference signal resource elements as the calculated frequency domain correlation coefficient.

[0092] In one embodiment, the matching theory frequency domain correlation coefficient determination module 203 is used to: square each received signal to obtain a received signal square value; and take an average value of all received signal square values ​​as RSSI.

[0093] In one embodiment, the matching theory frequency domain correlation coefficient determination module 203 is used to: obtain a first reference signal and a first received signal of a first reference signal resource element, obtain a second reference signal and a second received signal of a second reference signal resource element, the first reference signal resource element and the second reference signal resource element being two adjacent reference signal resource elements; determine the noise power based on the first reference signal, the first received signal, the second reference signal and the second received signal.

[0094] Figure 3 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 3As shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330 and a communication bus 340, wherein the processor 310, the communication interface 320 and the memory 330 communicate with each other through the communication bus 340. The processor 310 may call the logic instructions in the memory 330 to execute the method for determining the root mean square delay value of the channel, the method comprising: determining the calculated frequency domain correlation coefficient of the channel corresponding to the reference signal resource element based on the channel estimation value of multiple reference signal resource elements in the long term evolution LTE system; determining the theoretical frequency domain correlation coefficient corresponding to each preset root mean square delay value based on the preset root mean square delay value of the LTE system, the interval between two adjacent reference signal resource elements and the subcarrier interval of the LTE system; determining the matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among multiple theoretical frequency domain correlation coefficients; and using the preset root mean square delay value corresponding to the matching theoretical frequency domain correlation coefficient as the root mean square delay value of the channel.

[0095] In addition, the logic instructions in the above-mentioned memory 330 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0096] On the other hand, the present invention also provides a computer program product, which includes a computer program, and the computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the channel root mean square delay value determination method provided by the above-mentioned methods, the method including: determining the calculated frequency domain correlation coefficient of the channel corresponding to the reference signal resource element based on the channel estimation value of multiple reference signal resource elements in the long-term evolution LTE system; determining the theoretical frequency domain correlation coefficient corresponding to each preset root mean square delay value based on the preset root mean square delay value of the LTE system, the interval between two adjacent reference signal resource elements and the subcarrier interval of the LTE system; determining the matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among multiple theoretical frequency domain correlation coefficients; and using the preset root mean square delay value corresponding to the matching theoretical frequency domain correlation coefficient as the root mean square delay value of the channel.

[0097] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the channel root mean square delay value determination method provided by the above-mentioned methods, the method comprising: determining a calculated frequency domain correlation coefficient of a channel corresponding to a reference signal resource element based on channel estimation values ​​of multiple reference signal resource elements in a long-term evolution LTE system; determining a theoretical frequency domain correlation coefficient corresponding to each preset root mean square delay value based on a preset root mean square delay value of the LTE system, an interval between two adjacent reference signal resource elements, and a subcarrier interval of the LTE system; determining a matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among multiple theoretical frequency domain correlation coefficients; and using a preset root mean square delay value corresponding to the matching theoretical frequency domain correlation coefficient as the root mean square delay value of the channel.

[0098] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0099] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0100] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining a root mean square delay value of a channel, characterized in that: include: Determine a calculated frequency domain correlation coefficient of a channel corresponding to a plurality of reference signal resource elements based on channel estimation values ​​of the reference signal resource elements in a long term evolution LTE system; Determine a theoretical frequency domain correlation coefficient corresponding to each preset root mean square delay value based on a preset root mean square delay value of the LTE system, an interval between two adjacent reference signal resource elements, and a subcarrier interval of the LTE system; Determining a matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among the plurality of theoretical frequency domain correlation coefficients; Using the preset root mean square delay value corresponding to the matching theoretical frequency domain correlation coefficient as the root mean square delay value of the channel; The method of determining the calculated frequency domain correlation coefficient of the channel corresponding to the reference signal resource element based on the channel estimation values ​​of the plurality of reference signal resource elements in the long term evolution LTE system comprises: Acquire a current channel estimation value of a current reference signal resource element, and acquire a next channel estimation value of a next reference signal resource element adjacent to the current reference signal resource element; Performing conjugate processing on the current channel estimation value to obtain a conjugate complex number of the current channel estimation value; Determine a correlation value of channel estimation values ​​of the adjacent current reference signal resource element and the next reference signal resource element based on a product value of a conjugate complex number of the current channel estimation value and the next channel estimation value; Taking an average value of correlation values ​​of the channel estimation values ​​of all two adjacent reference signal resource elements as the calculated frequency domain correlation coefficient; The calculation formula of the theoretical frequency domain correlation coefficient is as follows: ； in, For the The theoretical frequency domain correlation coefficient corresponding to the preset root mean square delay value, is the imaginary unit in complex numbers, is plural, For the the preset root mean square delay value, is the interval between the two adjacent reference signal resource elements, is the subcarrier spacing in the LTE system.

2. The method for determining the root mean square delay value of a channel according to claim 1, characterized in that: The determining of a matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among the plurality of theoretical frequency domain correlation coefficients comprises: Determine a received signal strength indication RSSI of the channel based on received signals of a plurality of the reference signal resource elements; Determine a reference signal received power of the channel based on a difference between the RSSI and the noise power of the channel; Determine an actual frequency domain correlation coefficient corresponding to the theoretical frequency domain correlation coefficient based on a product value of the reference signal received power and the theoretical frequency domain correlation coefficient; The error between the calculated frequency domain correlation coefficient and each of the actual frequency domain correlation coefficients is obtained, and the theoretical frequency domain correlation coefficient corresponding to the minimum error is used as the matching theoretical frequency domain correlation coefficient.

3. The method for determining the root mean square delay value of a channel according to claim 1, characterized in that: The determining of a matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among the plurality of theoretical frequency domain correlation coefficients comprises: Performing conjugate processing on the theoretical frequency domain correlation coefficient to obtain a conjugate complex number of the theoretical frequency domain correlation coefficient; Obtaining a correlation value between each of the theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient based on a product value of a conjugate complex number of the theoretical frequency domain correlation coefficient and the calculated frequency domain correlation coefficient; The theoretical frequency domain correlation coefficient corresponding to the maximum correlation value is used as the matching theoretical frequency domain correlation coefficient.

4. The method for determining the root mean square delay value of a channel according to claim 2, characterized in that: The determining of a received signal strength indication RSSI of the channel based on received signals of a plurality of the reference signal resource elements comprises: Squaring each of the received signals to obtain a square value of the received signal; The average value of all the square values ​​of the received signals is taken as the RSSI.

5. The method for determining the root mean square delay value of a channel according to claim 2, characterized in that: The noise power is determined based on the following steps: Acquire a first reference signal and a first received signal of a first reference signal resource element, and acquire a second reference signal and a second received signal of a second reference signal resource element, wherein the first reference signal resource element and the second reference signal resource element are two adjacent reference signal resource elements; The noise power is determined based on the first reference signal, the first received signal, the second reference signal, and the second received signal.

6. A device for determining a root mean square delay value of a channel, characterized in that: include: A frequency domain correlation coefficient calculation determination module is used to determine the calculated frequency domain correlation coefficient of the channel corresponding to the reference signal resource element based on the channel estimation values ​​of multiple reference signal resource elements in the long term evolution LTE system; Theoretical frequency domain correlation coefficient determination module is used to determine the theoretical frequency domain correlation coefficient corresponding to each preset root mean square delay value based on the preset root mean square delay value of the LTE system, the interval between two adjacent reference signal resource elements and the subcarrier interval of the LTE system; the calculation formula of the theoretical frequency domain correlation coefficient is as follows: ； in, For the The theoretical frequency domain correlation coefficient corresponding to the preset root mean square delay value, is the imaginary unit in complex numbers, is plural, For the the preset root mean square delay value, is the interval between the two adjacent reference signal resource elements, is the subcarrier spacing in the LTE system; A matching theoretical frequency domain correlation coefficient determination module, used to determine a matching theoretical frequency domain correlation coefficient that best matches the calculated frequency domain correlation coefficient among a plurality of the theoretical frequency domain correlation coefficients; A root mean square delay value determination module, used to use the preset root mean square delay value corresponding to the matching theoretical frequency domain correlation coefficient as the root mean square delay value of the channel; The module for calculating the frequency domain correlation coefficient is also used to obtain the current channel estimation value of the current reference signal resource element, obtain the next channel estimation value of the next reference signal resource element adjacent to the current reference signal resource element; perform conjugate processing on the current channel estimation value to obtain the conjugate complex number of the current channel estimation value; determine the correlation value of the channel estimation values ​​of the adjacent current reference signal resource element and the next reference signal resource element based on the product of the conjugate complex number of the current channel estimation value and the next channel estimation value; and use the average value of the correlation values ​​of the channel estimation values ​​of all two adjacent reference signal resource elements as the calculated frequency domain correlation coefficient.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method for determining the root mean square delay value of the channel according to any one of claims 1 to 5 is implemented.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining the root mean square delay value of the channel according to any one of claims 1 to 5 is implemented.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for determining the root mean square delay value of the channel according to any one of claims 1 to 5 is implemented.

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