High-speed rail resonance section processing method, device and user equipment

Abstract

The present application provides a processing method, device and user equipment for a high-speed rail resonance interval. The processing method is applied in a user equipment UE. The processing method includes: when it is determined that the UE is in a high-speed rail scenario, determining whether the UE is in a high-speed rail resonance interval based on a received signal; when the UE is in a high-speed rail resonance interval, processing the frequency deviation estimation value, and performing channel parameter estimation in a high-speed rail scenario based on the processed frequency deviation estimation value, thereby ensuring the correctness of the parameter estimation of the UE in the high-speed rail resonance interval, making the processing strategy of the UE in the high-speed rail resonance interval more robust, thereby ensuring that the signal quality of the UE in the high-speed rail resonance interval is better, and improving the performance of the UE for a period of time after leaving the high-speed rail resonance interval, thereby solving the problem in the prior art that the processing strategy of the UE in the high-speed rail resonance interval is less robust and affects the communication quality of the UE.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular, to a method, device, computer-readable storage medium and user equipment for processing a high-speed rail resonance interval. Background Art

[0002] High-speed rail has become the most commonly used means of transportation for long-distance travel. The communication quality on high-speed rail has also become an important indicator of UE (User Equipment, UE for short) side performance. Due to the uniqueness of the high-speed rail channel, multiple base stations may send the same signal. When the train travels to the middle of two base stations, the signals of adjacent base stations arrive at the UE at the same time, and the UE will receive signals with opposite frequency offsets but the same delay. Since the time-domain channel impulse responses of the signals will completely overlap, the UE cannot correctly estimate the frequency offset estimation value (Frequency Offset Estimator, FOE for short) and Doppler shift (Doppler Shift) of the two base station signals through the time-domain channel impulse response, so the above scenario is usually referred to as the high-speed rail resonance interval.

[0003] Since the duration of the high-speed rail resonance interval is short, the impact of the high-speed rail resonance interval is generally less considered. In the prior art, for the processing of the high-speed rail resonance interval, a fixed Doppler is generally used for subsequent work. However, the method of taking a fixed value for Doppler is not robust and also ignores the impact of FOE on communication quality. Summary of the invention

[0004] The main purpose of the present application is to provide a processing method, device, computer-readable storage medium and user equipment for a high-speed rail resonance interval, so as to solve the problem in the prior art that the processing strategy of UE in the high-speed rail resonance interval has poor robustness and affects the communication quality of UE.

[0005] According to one aspect of an embodiment of the present invention, a method for processing a high-speed rail resonance interval is provided. The processing method is applied in a user equipment UE, and the processing method includes: when it is determined that the UE is in a high-speed rail scenario, determining whether the UE is in the high-speed rail resonance interval based on a received signal; when the UE is in the high-speed rail resonance interval, processing a frequency deviation estimation value, and estimating channel parameters in the high-speed rail scenario based on the processed frequency deviation estimation value.

[0006] Optionally, when it is determined that the UE is in a high-speed rail scenario, determining whether the UE is in a high-speed rail resonance interval based on the received received signal includes: when the received received signal is successfully clustered, determining the two path clusters with the largest energy obtained by clustering as the first path cluster and the second path cluster, respectively, the energy of the second path cluster being less than the energy of the first path cluster; determining the energy difference between the first path cluster and the second path cluster to obtain a first energy difference; determining whether the UE is in a high-speed rail resonance interval based on a first delay difference and at least one of the frequency offset estimation values ​​of the second path cluster and the first energy difference, wherein the first delay difference is the delay difference between the first path cluster and the second path cluster.

[0007] Optionally, determining whether the UE is in a high-speed rail resonance interval based on the first delay difference and at least one of the frequency deviation estimation values ​​of the second path cluster and the first energy difference includes: when the first energy difference is less than a first energy threshold and the first delay difference is less than the first delay threshold, determining that the UE is in a high-speed rail resonance interval; or, when the first energy difference is less than the first energy threshold and the frequency deviation estimation value of the second path cluster is close to the frequency deviation estimation limit value, determining that the UE is in a high-speed rail resonance interval; or, when the first energy difference is less than the first energy threshold, the first delay difference is less than the first delay threshold and the frequency deviation estimation value of the second path cluster is close to the frequency deviation estimation limit value, determining that the UE is in a high-speed rail resonance interval.

[0008] Optionally, when the UE is in the high-speed rail resonance interval, the frequency offset estimation value is processed, and channel parameter estimation in the high-speed rail scenario is performed based on the processed frequency offset estimation value, including: adjusting the AFC adjustment threshold value, and based on the automatic frequency calibration AFC algorithm and the adjusted AFC adjustment threshold value, compensating for multiple path clusters obtained based on clustering the received received signal to obtain the frequency offset estimation value of each path cluster after compensation; performing back-inversion processing on the frequency offset estimation value of each path cluster after compensation to obtain the frequency offset estimation value of each path cluster after back-inversion processing; performing channel parameter estimation in the high-speed rail scenario based on the Doppler frequency shift of each path cluster and the corresponding frequency offset estimation value after back-inversion processing; and / or, when the received received signal cannot be successfully clustered, performing channel parameter estimation in the high-speed rail scenario based on the Doppler frequency shift of each path cluster obtained last time and the processed frequency offset estimation value.

[0009] Optionally, when the UE is in a high-speed rail resonance interval, the frequency offset estimation value is processed, and after the channel parameter estimation in the high-speed rail scenario is performed based on the processed frequency offset estimation value, the processing method also includes: when the received signal is successfully clustered, the two path clusters with the largest energy obtained by clustering are determined as the third path cluster and the fourth path cluster, and the energy of the fourth path cluster is less than that of the third path cluster; the energy difference between the third path cluster and the fourth path cluster is determined to obtain a second energy difference; when the second energy difference is greater than the second energy threshold, the second delay difference is greater than the second delay threshold, and the duration that the frequency offset estimation value of the fourth path cluster is lower than the frequency offset estimation limit value is greater than the first preset time, it is determined that the UE leaves the high-speed rail resonance interval, and the second delay difference is the delay difference between the third path cluster and the fourth path cluster.

[0010] Optionally, the process of determining that the UE is in the high-speed rail scenario includes: determining that the UE is in a high-speed scenario when the signal-to-noise ratio of the received signal is greater than a first signal-to-noise ratio threshold, and the current Doppler frequency shift is greater than the Doppler frequency shift threshold and / or the current frequency offset estimation value is greater than the frequency offset estimation limit value; determining that the UE is in a high-speed scenario when the UE is in a high-speed scenario and the received signal is successfully clustered.

[0011] Optionally, after determining that the UE leaves the high-speed rail resonance interval, the processing method also includes: when a preset condition is met, estimating the channel parameters in a non-high-speed rail scenario based on the received received signal, and the preset condition is: the duration for which the received received signal cannot be successfully clustered is greater than a second preset time, and / or the duration for which the signal-to-noise ratio of the received received signal is less than a second signal-to-noise ratio threshold is greater than the second preset time; when the preset condition is not met, determining whether the UE is in the high-speed rail resonance interval again based on the received received signal.

[0012] According to another aspect of an embodiment of the present invention, a processing device for a high-speed rail resonance interval is also provided. The processing device is applied in a user equipment UE, and the processing device includes: a first determination unit, for determining whether the UE is in a high-speed rail resonance interval based on a received signal when it is determined that the UE is in a high-speed rail scenario; a first processing unit, for processing a frequency deviation estimation value when the UE is in the high-speed rail resonance interval, and performing channel parameter estimation in the high-speed rail scenario based on the processed frequency deviation estimation value.

[0013] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the methods for processing the high-speed rail resonance interval.

[0014] According to another aspect of an embodiment of the present invention, a user device is also provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a processing method for executing any one of the high-speed rail resonance intervals.

[0015] In an embodiment of the present invention, when the UE is in a high-speed rail scenario, it is determined whether the UE is currently in a high-speed rail resonance interval according to a received signal currently received by the UE; when it is determined that the UE is currently in a high-speed rail resonance interval, the channel parameter estimation of the high-speed rail scenario is performed through the processed frequency deviation estimation value. Compared with the prior art in which a fixed Doppler frequency shift is used to estimate the channel parameters of the UE in a high-speed rail scenario when the UE is in a high-speed rail resonance interval, this scheme processes the frequency deviation estimation value when it is determined that the UE is in a high-speed rail resonance interval, and estimates the channel parameters in a high-speed rail scenario according to the processed frequency deviation estimation value, thereby ensuring the correctness of the parameter estimation of the UE in the high-speed rail resonance interval, making the processing strategy of the UE in the high-speed rail resonance interval more robust, thereby ensuring that the signal quality of the UE in the high-speed rail resonance interval is better, and improving the performance of the UE for a period of time after leaving the high-speed rail resonance interval, thereby solving the problem that the processing strategy of the UE in the high-speed rail resonance interval in the prior art is less robust and affects the communication quality of the UE. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0017] Figure 1 A flow chart showing a method for processing a high-speed rail resonance interval according to an embodiment of the present application is shown;

[0018] Figure 2 A schematic structural diagram of a high-speed rail resonance section processing device according to an embodiment of the present application is shown;

[0019] Figure 3 A flowchart of a solution for processing a high-speed rail resonance interval according to a specific embodiment of the present application is shown. DETAILED DESCRIPTION

[0020] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0021] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0023] As mentioned in the background technology, the processing strategy of UE in the high-speed rail resonance section in the prior art has poor robustness and affects the communication quality of UE. In order to solve the above problems, in a typical implementation of the present application, a processing method, device, computer-readable storage medium and user equipment for the high-speed rail resonance section are provided.

[0024] According to an embodiment of the present application, a method for processing a high-speed rail resonance interval is provided.

[0025] Figure 1 1 is a flow chart of a method for processing a high-speed rail resonance interval according to an embodiment of the present application. The above processing method is applied in a user equipment UE, such as Figure 1 As shown, the processing method includes the following steps:

[0026] Step S101, when it is determined that the UE is in a high-speed rail scenario, determining whether the UE is in a high-speed rail resonance interval according to a received signal;

[0027] Step S102: When the UE is in the high-speed rail resonance range, the frequency offset estimation value is processed, and channel parameter estimation in the high-speed rail scenario is performed based on the processed frequency offset estimation value.

[0028] In the above-mentioned processing method of the high-speed rail resonance interval, when the UE is in the high-speed rail scenario, it is determined whether the UE is currently in the high-speed rail resonance interval according to the received signal currently received by the UE; when it is determined that the UE is currently in the high-speed rail resonance interval, the channel parameter estimation of the high-speed rail scenario is performed through the processed frequency deviation estimation value. Compared with the prior art in which the UE is in the high-speed rail resonance interval and a fixed Doppler frequency shift is used to estimate the channel parameters of the UE in the high-speed rail scenario, this scheme processes the frequency deviation estimation value when it is determined that the UE is in the high-speed rail resonance interval, and estimates the channel parameters in the high-speed rail scenario according to the processed frequency deviation estimation value, thereby ensuring the correctness of the parameter estimation of the UE in the high-speed rail resonance interval, making the processing strategy of the UE in the high-speed rail resonance interval more robust, thereby ensuring that the signal quality of the UE in the high-speed rail resonance interval is better, and improving the performance of the UE for a period of time after leaving the high-speed rail resonance interval, thereby solving the problem that the processing strategy of the UE in the high-speed rail resonance interval in the prior art is poor in robustness and affects the communication quality of the UE.

[0029] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0030] In the actual application process, in the high-speed rail multi-base station scenario, when the train travels to the middle of two base stations, the signals of adjacent base stations will reach the UE at the same time, and the UE will receive the received signal with opposite frequency deviation but the same delay. Since the time domain channel impulse responses of the signals of the two adjacent base stations completely overlap, the UE cannot correctly estimate the frequency deviation estimation value and Doppler frequency shift of the two base station signals through the time domain channel impulse response. The above scenario is usually referred to as the high-speed rail resonance interval. Based on the particularity of the received signal received by the UE in the high-speed rail resonance interval, in one embodiment of the present application, the above step S101 can also be implemented by step S1011, step S1012 and step S1013. Step S1011: when the received signal is successfully clustered, the two path clusters with the largest energy obtained by clustering are respectively determined as the first path cluster and the second path cluster, and the energy of the second path cluster is less than that of the first path cluster; Step S1012: determine the energy difference between the first path cluster and the second path cluster to obtain the first energy difference; Step S1013: determine whether the UE is in the high-speed rail resonance interval according to the first delay difference and at least one of the frequency offset estimation values ​​of the second path cluster and the first energy difference, wherein the first delay difference is the delay difference between the first path cluster and the second path cluster. In this way, it is possible to more accurately determine whether the UE is in the high-speed rail resonance interval. Subsequently, when the UE is in the high-speed rail resonance interval, the frequency offset estimation value is processed, and the channel parameter estimation in the high-speed rail scenario is performed according to the processed frequency offset estimation value, which further ensures that the communication quality of the UE is good, and further avoids the problem of AFC adjustment confusion and large Doppler frequency shift estimation of the UE in the high-speed rail resonance interval.

[0031] In actual application, a UE may receive overlapping reception signals from different base stations and different channels. Therefore, clustering the received reception signals may be clustering the channels corresponding to the received reception signals.

[0032] In the specific implementation process, the above step S1013 can also be implemented by the following steps: when the above-mentioned first energy difference is less than the first energy threshold, and the above-mentioned first delay difference is less than the first delay threshold, it is determined that the UE is in the high-speed rail resonance interval; or, when the above-mentioned first energy difference is less than the above-mentioned first energy threshold, and the frequency deviation estimation value of the above-mentioned second path cluster is close to the frequency deviation estimation limit value, it is determined that the UE is in the high-speed rail resonance interval; or, when the above-mentioned first energy difference is less than the first energy threshold, the above-mentioned first delay difference is less than the above-mentioned first delay threshold, and the frequency deviation estimation value of the above-mentioned second path cluster is close to the above-mentioned frequency deviation estimation limit value, it is determined that the UE is in the high-speed rail resonance interval. In this embodiment, when any of the above-mentioned situations is met, it is determined that the UE is in the high-speed rail resonance interval, that is, by relatively loose judgment conditions, it is determined whether the UE is in the high-speed rail resonance interval, which ensures that it can be determined in time whether the UE is in the high-speed rail resonance interval. And by using a variety of judgment methods to determine whether the UE is in the high-speed rail resonance interval, it is also ensured that the judgment method of the present application can be applied to a variety of scenarios, that is, it has good universality.

[0033] In actual application, the frequency offset estimation value of the second path cluster is close to the frequency offset estimation limit value, that is, the difference between the frequency offset estimation value of the second path cluster and the frequency offset estimation limit value is smaller than a predetermined threshold.

[0034] Specifically, in the above embodiments, the sizes of the first energy threshold, the first delay threshold and the frequency deviation estimation limit value can be flexibly set according to the actual scenario. In the present application, there is no specific restriction on the sizes of the first energy threshold, the first delay threshold and the frequency deviation estimation limit value.

[0035] In some implementation processes, the above-mentioned step S102 can also be implemented by the following steps: adjusting the AFC (automatic frequency calibration, Auto Frequency Calibration, AFC for short) adjustment threshold value, and based on the automatic frequency calibration AFC algorithm and the adjusted AFC adjustment threshold value, compensating for multiple path clusters obtained based on clustering the received received signal to obtain the frequency offset estimation value of each of the above-mentioned path clusters after compensation; performing inverse processing on the frequency offset estimation value of each of the above-mentioned path clusters after compensation to obtain the frequency offset estimation value of each of the above-mentioned path clusters after inverse processing; estimating the channel parameters in the high-speed rail scenario based on the Doppler frequency shift of each of the above-mentioned path clusters and the corresponding frequency offset estimation value after inverse processing; and / or, in the case that the received received signal cannot be successfully clustered, estimating the channel parameters in the high-speed rail scenario based on the Doppler frequency shift of each of the above-mentioned path clusters obtained last time and the processed frequency offset estimation value. In this embodiment, the AFC adjustment threshold value is adjusted, so that by limiting the adjustment amount of the frequency offset estimation value in the high-speed rail resonance interval, it is avoided that after the AFC algorithm performs compensation processing on each path cluster, the frequency offset estimation value of each path cluster after compensation processing exceeds the frequency offset estimation limit value. In addition, after the compensation processing is performed on each path cluster based on the automatic frequency calibration AFC algorithm and the adjusted AFC adjustment threshold value, the frequency offset estimation value of each path cluster after compensation processing may still exceed the frequency offset estimation limit value. Therefore, this scheme performs inverse processing on the frequency offset estimation value of each path cluster after compensation processing, so as to avoid the situation where the frequency offset estimation value of a certain path cluster cannot be estimated.

[0036] In a specific embodiment of the present application, if the Doppler frequency shift currently obtained is significantly different from the Doppler frequency shift obtained last time, the Doppler frequency shift obtained last time can be used to estimate the channel parameters of the high-speed rail scenario. This can further avoid the problem of Doppler frequency shift estimation being too large.

[0037] In another specific embodiment of the present application, when the UE is in the high-speed rail resonance interval, if the received signal received by the UE can be successfully clustered, the AFC algorithm and the AFC adjustment threshold value can be used to compensate for each path cluster. Suppose there are two path clusters, 1500Hz and -1500Hz respectively. If these two path clusters are compensated by 1500Hz, two path clusters of 3000Hz and 0Hz can be obtained. However, since the path cluster of 3000Hz exceeds the frequency deviation estimation value, it is also necessary to perform back-inversion processing on the two path clusters of 3000Hz and 0Hz, so as to avoid the possibility that the frequency deviation estimation value of each path cluster after compensation will still exceed the frequency deviation estimation limit value.

[0038] In order to more accurately determine whether the UE has left the high-speed rail resonance interval, and further ensure that the communication quality of the UE is good within a period of time after leaving the high-speed rail resonance interval, the processing method of the present application also includes steps S103, S104 and S105. The above step S103: when the UE is in the high-speed rail resonance interval, the frequency offset estimation value is processed, and after the channel parameter estimation in the high-speed rail scenario is performed according to the processed frequency offset estimation value, when the received received signal is successfully clustered, the two path clusters with the largest energy obtained by clustering are determined as the third path cluster and the fourth path cluster, and the energy of the fourth path cluster is less than the third path cluster; step S104: determine the energy difference between the third path cluster and the fourth path cluster to obtain the second energy difference; step S105: when the second energy difference is greater than the second energy threshold, the second delay difference is greater than the second delay threshold, and the frequency offset estimation value of the fourth path cluster is lower than the frequency offset estimation limit value for a duration greater than the first preset time, it is determined that the UE has left the high-speed rail resonance interval, and the second delay difference is the delay difference between the third path cluster and the fourth path cluster.

[0039] In the processing method of the high-speed rail resonance interval of the present application, the condition for determining whether the UE is in the high-speed rail resonance interval is: when the above-mentioned first energy difference is less than the first energy threshold, and the above-mentioned first delay difference is less than the first delay threshold, the UE is determined to be in the high-speed rail resonance interval; or, when the above-mentioned first energy difference is less than the above-mentioned first energy threshold, and the frequency deviation estimation value of the above-mentioned second path cluster is close to the frequency deviation estimation limit value, the UE is determined to be in the high-speed rail resonance interval; or, when the above-mentioned first energy difference is less than the first energy threshold, the above-mentioned first delay difference is less than the above-mentioned first delay threshold, and the frequency deviation estimation value of the above-mentioned second path cluster is close to the above-mentioned frequency deviation estimation limit value, the UE is determined to be in the high-speed rail resonance interval. The condition for determining whether the UE leaves the high-speed rail resonance interval is: when the above-mentioned second energy difference is greater than the second energy threshold, the second delay difference is greater than the second delay threshold, and the frequency deviation estimation value of the above-mentioned fourth path cluster is lower than the frequency deviation estimation limit value for a duration greater than the first preset time, the UE is determined to leave the high-speed rail resonance interval, and the above-mentioned second delay difference is the delay difference between the above-mentioned third path cluster and the above-mentioned fourth path cluster. That is to say, this application sets a relatively loose condition to determine whether the UE is in the high-speed rail resonance interval, and sets a relatively strict condition to determine whether the UE leaves the high-speed rail resonance interval, that is, through the "fast in and slow out" standard, to determine whether the UE is in the high-speed rail resonance interval and leaves the high-speed rail resonance interval. This not only ensures that it can accurately determine whether the UE is in the high-speed rail resonance interval and leaves the high-speed rail resonance interval, but also ensures that the overall communication quality of the UE is good regardless of whether it is in the high-speed rail resonance interval, ensuring a good user experience.

[0040] In actual application, the second energy threshold, the second delay threshold, the frequency deviation estimation limit value and the first preset time can be flexibly set according to the actual scenario. In this application, there is no specific restriction on the size of the second energy threshold, the second delay threshold, the frequency deviation estimation limit value and the first preset time.

[0041] In some embodiments, the above step S101 can also be implemented by the following steps: when the signal-to-noise ratio of the above received signal is greater than the first signal-to-noise ratio threshold, and the current Doppler frequency shift is greater than the Doppler frequency shift threshold and / or the current frequency deviation estimation value is greater than the frequency deviation estimation limit value, it is determined that the UE is in a high-speed scene; when the UE is in a high-speed scene, and the received signal is successfully clustered, it is determined that the UE is in a high-speed rail scene. In the actual application process, in a high-speed rail multi-base station scene, when the train travels to the middle of two base stations, the signals of adjacent base stations will reach the UE at the same time, and the UE will receive received signals with opposite frequency offsets but the same delay. Therefore, it is possible to determine whether the UE is in a high-speed rail scene by whether the received signal is successfully clustered. This achieves a relatively accurate and simple determination of whether the UE is in a high-speed rail scene, ensures that the amount of calculation on the UE side is small, and does not affect the overall performance of the UE side.

[0042] In the actual application process, when the signal-to-noise ratio of the above-mentioned received signal is greater than the first signal-to-noise ratio threshold, and the current Doppler frequency shift is greater than the Doppler frequency shift threshold, it is determined that the UE is in a high-speed scenario. When the signal-to-noise ratio of the above-mentioned received signal is greater than the first signal-to-noise ratio threshold, and the current frequency offset estimation value is greater than the frequency offset estimation limit value, it is determined that the UE is in a high-speed scenario. When the signal-to-noise ratio of the above-mentioned received signal is greater than the first signal-to-noise ratio threshold, the current Doppler frequency shift is greater than the Doppler frequency shift threshold, and the current frequency offset estimation value is greater than the frequency offset estimation limit value, it is determined that the UE is in a high-speed scenario.

[0043] Specifically, the first signal-to-noise ratio threshold, the Doppler frequency shift threshold and the frequency offset estimation limit value can be flexibly adjusted according to the actual application scenario. In this application, the specific values ​​of the first signal-to-noise ratio threshold, the Doppler frequency shift threshold and the frequency offset estimation limit value are not limited.

[0044] In order to further ensure that the communication quality of the UE is good, in one embodiment, the processing method of the present application includes steps S106 and S107. In step S106, after determining that the UE has left the high-speed rail resonance interval, if the preset conditions are met, the channel parameter estimation in the non-high-speed rail scenario is performed based on the received received signal, and the above preset conditions are: the duration of the failure to successfully cluster the received received signal is greater than the second preset time, and / or the duration of the received signal-to-noise ratio being less than the second signal-to-noise ratio threshold is greater than the above second preset time; step S107, if the above preset conditions are not met, then it is determined again based on the received received signal whether the UE is in the high-speed rail resonance interval.

[0045] Specifically, the specific value of the second preset time can be flexibly adjusted according to the actual application scenario. In the present application, the value of the second preset time is not limited.

[0046] The embodiment of the present application also provides a processing device for a high-speed rail resonance interval. It should be noted that the processing device for a high-speed rail resonance interval in the embodiment of the present application can be used to execute the processing method for a high-speed rail resonance interval provided in the embodiment of the present application. The processing device for a high-speed rail resonance interval provided in the embodiment of the present application is introduced below.

[0047] Figure 2 is a schematic diagram of the structure of a high-speed rail resonance section processing device according to an embodiment of the present application. Figure 2 As shown, the processing device includes:

[0048] The first determination unit 10 is used to determine whether the UE is in a high-speed rail resonance interval according to the received received signal when it is determined that the UE is in a high-speed rail scenario;

[0049] The first processing unit 20 is used to process the frequency offset estimation value when the UE is in the high-speed rail resonance range, and perform channel parameter estimation in the high-speed rail scenario according to the processed frequency offset estimation value.

[0050] In the above-mentioned processing device for the high-speed rail resonance interval, the first determination unit is used to determine whether the UE is currently in the high-speed rail resonance interval according to the received signal currently received by the UE when the UE is in the high-speed rail scene; the first processing unit is used to perform channel parameter estimation of the high-speed rail scene through the processed frequency deviation estimation value when it is determined that the UE is currently in the high-speed rail resonance interval. Compared with the prior art in which the UE is in the high-speed rail resonance interval and the channel parameter estimation of the UE in the high-speed rail scene is performed using a fixed Doppler frequency shift, this scheme processes the frequency deviation estimation value when it is determined that the UE is in the high-speed rail resonance interval, and performs channel parameter estimation in the high-speed rail scene according to the processed frequency deviation estimation value, thus ensuring the correctness of the parameter estimation of the UE in the high-speed rail resonance interval, making the processing strategy of the UE in the high-speed rail resonance interval more robust, thereby ensuring that the signal quality of the UE in the high-speed rail resonance interval is better, and improving the performance of the UE for a period of time after leaving the high-speed rail resonance interval, thereby solving the problem that the processing strategy of the UE in the high-speed rail resonance interval in the prior art is poor in robustness and affects the communication quality of the UE.

[0051] In the actual application process, in the high-speed rail multi-base station scenario, when the train travels to the middle of two base stations, the signals of adjacent base stations will reach the UE at the same time, and the UE will receive the received signals with opposite frequency deviations but the same delay. Since the time domain channel impulse responses of the signals of the two adjacent base stations completely overlap, the UE cannot correctly estimate the frequency deviation estimation value and Doppler frequency shift of the two base station signals through the time domain channel impulse response. The above scenario is usually referred to as the high-speed rail resonance interval. Based on the particularity of the received signal received by the UE in the high-speed rail resonance interval, in one embodiment of the present application, the above-mentioned first determination unit includes a first determination module, a second determination module and a third determination module. Among them, the first determination module is used to determine the two path clusters with the largest energy obtained by clustering as the first path cluster and the second path cluster respectively when the received received signal is successfully clustered, and the energy of the second path cluster is less than the energy of the first path cluster; the second determination module is used to determine the energy difference between the first path cluster and the second path cluster to obtain the first energy difference; the third determination module is used to determine whether the UE is in the high-speed rail resonance interval according to the first delay difference and at least one of the frequency deviation estimation values ​​of the second path cluster and the first energy difference, wherein the first delay difference is the delay difference between the first path cluster and the second path cluster. In this way, it is possible to more accurately determine whether the UE is in the high-speed rail resonance interval. Subsequently, when the UE is in the high-speed rail resonance interval, the frequency deviation estimation value is processed, and the channel parameter estimation in the high-speed rail scenario is performed based on the processed frequency deviation estimation value, which further ensures that the communication quality of the UE is good, and further avoids the problem of AFC adjustment confusion and large Doppler frequency shift estimation of the UE in the high-speed rail resonance interval.

[0052] In actual application, a UE may receive overlapping reception signals from different base stations and different channels. Therefore, clustering the received reception signals may be clustering the channels corresponding to the received reception signals.

[0053] In the specific implementation process, the third determination module includes a first determination submodule, a second determination submodule or a third determination submodule. Among them, the first determination submodule is used to determine that the UE is in the high-speed rail resonance interval when the first energy difference is less than the first energy threshold and the first delay difference is less than the first delay threshold; or, the second determination submodule is used to determine that the UE is in the high-speed rail resonance interval when the first energy difference is less than the first energy threshold and the frequency deviation estimation value of the second path cluster is close to the frequency deviation estimation limit value; or, the third determination submodule is used to determine that the UE is in the high-speed rail resonance interval when the first energy difference is less than the first energy threshold, the first delay difference is less than the first delay threshold and the frequency deviation estimation value of the second path cluster is close to the frequency deviation estimation limit value. In this embodiment, when any of the above situations is met, it is determined that the UE is in the high-speed rail resonance interval, that is, by relatively loose judgment conditions, it is determined whether the UE is in the high-speed rail resonance interval, which ensures that it can be determined in time whether the UE is in the high-speed rail resonance interval. In addition, a variety of determination methods are used to determine whether the UE is in the high-speed rail resonance range, which also ensures that the determination method of the present application can be applied to a variety of scenarios, that is, it has good universality.

[0054] In actual application, the frequency offset estimation value of the second path cluster is close to the frequency offset estimation limit value, that is, the difference between the frequency offset estimation value of the second path cluster and the frequency offset estimation limit value is smaller than a predetermined threshold.

[0055] Specifically, in the above embodiments, the sizes of the first energy threshold, the first delay threshold and the frequency deviation estimation limit value can be flexibly set according to the actual scenario. In the present application, there is no specific restriction on the sizes of the first energy threshold, the first delay threshold and the frequency deviation estimation limit value.

[0056] In some implementations, the first processing unit further includes an adjustment module, a back-processing module, a first estimation module, and / or a second estimation module. The adjustment module is used to adjust the AFC (Automatic Frequency Calibration, AFC for short) adjustment threshold value, and based on the automatic frequency calibration AFC algorithm and the adjusted AFC adjustment threshold value, the multiple path clusters obtained by clustering the received received signal are compensated to obtain the frequency offset estimation value of each of the above-mentioned path clusters after compensation; the back-processing module is used to back-process the frequency offset estimation value of each of the above-mentioned path clusters after compensation to obtain the frequency offset estimation value of each of the above-mentioned path clusters after back-processing; the first estimation module is used to perform channel parameter estimation in the high-speed rail scenario based on the Doppler frequency shift of each of the above-mentioned path clusters and the corresponding frequency offset estimation value after back-processing; and / or the second estimation module is used to perform channel parameter estimation in the high-speed rail scenario based on the Doppler frequency shift of each of the above-mentioned path clusters obtained last time and the processed frequency offset estimation value when the received received signal cannot be successfully clustered. In this embodiment, the AFC adjustment threshold value is adjusted, so that by limiting the adjustment amount of the frequency offset estimation value in the high-speed rail resonance interval, it is avoided that after the AFC algorithm performs compensation processing on each path cluster, the frequency offset estimation value of each path cluster after compensation processing exceeds the frequency offset estimation limit value. In addition, after the compensation processing is performed on each path cluster based on the automatic frequency calibration AFC algorithm and the adjusted AFC adjustment threshold value, the frequency offset estimation value of each path cluster after compensation processing may still exceed the frequency offset estimation limit value. Therefore, this scheme performs inverse processing on the frequency offset estimation value of each path cluster after compensation processing, so as to avoid the situation where the frequency offset estimation value of a certain path cluster cannot be estimated.

[0057] In a specific embodiment of the present application, if the Doppler frequency shift currently obtained is significantly different from the Doppler frequency shift obtained last time, the Doppler frequency shift obtained last time can be used to estimate the channel parameters of the high-speed rail scenario. This can further avoid the problem of Doppler frequency shift estimation being too large.

[0058] In another specific embodiment of the present application, when the UE is in the high-speed rail resonance interval, if the received signal received by the UE can be successfully clustered, the AFC algorithm and the AFC adjustment threshold value can be used to compensate for each path cluster. Suppose there are two path clusters, 1500Hz and -1500Hz respectively. If these two path clusters are compensated by 1500Hz, two path clusters of 3000Hz and 0Hz can be obtained. However, since the path cluster of 3000Hz exceeds the frequency deviation estimation value, it is also necessary to perform back-inversion processing on the two path clusters of 3000Hz and 0Hz, so as to avoid the possibility that the frequency deviation estimation value of each path cluster after compensation will still exceed the frequency deviation estimation limit value.

[0059] In order to more accurately determine whether the UE has left the high-speed rail resonance interval, and further ensure that the communication quality of the UE is good within a period of time after leaving the high-speed rail resonance interval, the processing device of the present application also includes a second determination unit, a third determination unit and a fourth determination unit. Among them, the above-mentioned second determination unit is used to process the frequency deviation estimation value when the UE is in the high-speed rail resonance interval, and after estimating the channel parameters in the high-speed rail scenario according to the processed frequency deviation estimation value, when the received received signal is successfully clustered, the two path clusters with the largest energy obtained by clustering are determined as the third path cluster and the fourth path cluster, and the energy of the above-mentioned fourth path cluster is less than the above-mentioned third path cluster; the above-mentioned third determination unit is used to determine the energy difference between the above-mentioned third path cluster and the above-mentioned fourth path cluster to obtain the second energy difference; the above-mentioned fourth determination unit is used to determine that the UE has left the high-speed rail resonance interval when the above-mentioned second energy difference is greater than the second energy threshold, the second delay difference is greater than the second delay threshold, and the frequency deviation estimation value of the above-mentioned fourth path cluster is lower than the frequency deviation estimation limit value for a duration greater than the first preset time. The above-mentioned second delay difference is the delay difference between the above-mentioned third path cluster and the above-mentioned fourth path cluster.

[0060] In the processing device of the high-speed rail resonance interval of the present application, the condition for determining whether the UE is in the high-speed rail resonance interval is: when the above-mentioned first energy difference is less than the first energy threshold, and the above-mentioned first delay difference is less than the first delay threshold, the UE is determined to be in the high-speed rail resonance interval; or, when the above-mentioned first energy difference is less than the above-mentioned first energy threshold, and the frequency deviation estimation value of the above-mentioned second path cluster is close to the frequency deviation estimation limit value, the UE is determined to be in the high-speed rail resonance interval; or, when the above-mentioned first energy difference is less than the first energy threshold, the above-mentioned first delay difference is less than the above-mentioned first delay threshold, and the frequency deviation estimation value of the above-mentioned second path cluster is close to the above-mentioned frequency deviation estimation limit value, the UE is determined to be in the high-speed rail resonance interval. The condition for determining whether the UE leaves the high-speed rail resonance interval is: when the above-mentioned second energy difference is greater than the second energy threshold, the second delay difference is greater than the second delay threshold, and the frequency deviation estimation value of the above-mentioned fourth path cluster is lower than the frequency deviation estimation limit value for a duration greater than the first preset time, the UE is determined to leave the high-speed rail resonance interval, and the above-mentioned second delay difference is the delay difference between the above-mentioned third path cluster and the above-mentioned fourth path cluster. That is to say, this application sets a relatively loose condition to determine whether the UE is in the high-speed rail resonance interval, and sets a relatively strict condition to determine whether the UE leaves the high-speed rail resonance interval, that is, through the "fast in and slow out" standard, to determine whether the UE is in the high-speed rail resonance interval and leaves the high-speed rail resonance interval. This not only ensures that it can accurately determine whether the UE is in the high-speed rail resonance interval and leaves the high-speed rail resonance interval, but also ensures that the overall communication quality of the UE is good regardless of whether it is in the high-speed rail resonance interval, ensuring a good user experience.

[0061] In actual application, the second energy threshold, the second delay threshold, the frequency deviation estimation limit value and the first preset time can be flexibly set according to the actual scenario. In this application, there is no specific restriction on the size of the second energy threshold, the second delay threshold, the frequency deviation estimation limit value and the first preset time.

[0062] In some embodiments, the first determination unit further includes a fourth determination module and a fifth determination module. The fourth determination module is used to determine that the UE is in a high-speed scene when the signal-to-noise ratio of the received signal is greater than the first signal-to-noise ratio threshold, and the current Doppler frequency shift is greater than the Doppler frequency shift threshold and / or the current frequency deviation estimation value is greater than the frequency deviation estimation limit value; the fifth determination module is used to determine that the UE is in a high-speed scene when the UE is in a high-speed scene and the received received signal is successfully clustered. In the actual application process, in a high-speed rail multi-base station scene, when the train travels to the middle of two base stations, the signals of adjacent base stations will reach the UE at the same time, and the UE will receive a received signal with opposite frequency offset but the same delay. Therefore, it can be determined whether the UE is in a high-speed rail scene by whether the received signal is successfully clustered. This achieves a relatively accurate and simple determination of whether the UE is in a high-speed rail scene, ensuring that the amount of calculation on the UE side is small and will not affect the overall performance of the UE side.

[0063] In the actual application process, when the signal-to-noise ratio of the above-mentioned received signal is greater than the first signal-to-noise ratio threshold, and the current Doppler frequency shift is greater than the Doppler frequency shift threshold, it is determined that the UE is in a high-speed scenario. When the signal-to-noise ratio of the above-mentioned received signal is greater than the first signal-to-noise ratio threshold, and the current frequency offset estimation value is greater than the frequency offset estimation limit value, it is determined that the UE is in a high-speed scenario. When the signal-to-noise ratio of the above-mentioned received signal is greater than the first signal-to-noise ratio threshold, the current Doppler frequency shift is greater than the Doppler frequency shift threshold, and the current frequency offset estimation value is greater than the frequency offset estimation limit value, it is determined that the UE is in a high-speed scenario.

[0064] Specifically, the first signal-to-noise ratio threshold, the Doppler frequency shift threshold and the frequency offset estimation limit value can be flexibly adjusted according to the actual application scenario. In this application, the specific values ​​of the first signal-to-noise ratio threshold, the Doppler frequency shift threshold and the frequency offset estimation limit value are not limited.

[0065] In order to further ensure that the communication quality of the UE is good, in one embodiment, the processing device of the present application also includes a parameter estimation unit and a fifth determination unit. The parameter estimation unit is used to perform channel parameter estimation in a non-high-speed rail scenario based on the received received signal after determining that the UE has left the high-speed rail resonance interval, if the preset conditions are met, and the preset conditions are: the duration of the failure to successfully cluster the received received signal is greater than the second preset time, and / or the duration of the received signal-to-noise ratio being less than the second signal-to-noise ratio threshold is greater than the second preset time; the fifth determination unit is used to determine whether the UE is in the high-speed rail resonance interval again based on the received received signal if the preset conditions are not met.

[0066] Specifically, the specific value of the second preset time can be flexibly adjusted according to the actual application scenario. In the present application, the value of the second preset time is not limited.

[0067] The processing device for the high-speed rail resonance section includes a processor and a memory. The first determination unit and the first processing unit are stored in the memory as program units. The processor executes the program units stored in the memory to implement corresponding functions.

[0068] The processor includes a kernel, and the kernel retrieves the corresponding program unit from the memory. One or more kernels can be set, and the kernel parameters are adjusted to solve the problem that the processing strategy of the UE in the high-speed rail resonance section in the prior art is poor in robustness and affects the communication quality of the UE.

[0069] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0070] An embodiment of the present invention provides a computer-readable storage medium on which a program is stored. When the program is executed by a processor, the above-mentioned high-speed rail resonance interval processing method is implemented.

[0071] An embodiment of the present invention provides a processor, which is used to run a program, wherein the method for processing the high-speed rail resonance interval is executed when the program is running.

[0072] In a typical embodiment of the present application, a user device is also provided, including: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the one or more memories and are configured to be executed by the one or more processors, and the one or more programs include a processing method for executing any one of the above-mentioned high-speed rail resonance intervals.

[0073] The above-mentioned user equipment can execute any of the above-mentioned processing methods for the high-speed rail resonance interval. In the above-mentioned processing method, when the UE is in the high-speed rail scene, it is determined whether the UE is currently in the high-speed rail resonance interval according to the received signal currently received by the UE; when it is determined that the UE is currently in the high-speed rail resonance interval, the channel parameter estimation of the high-speed rail scene is performed through the processed frequency deviation estimation value. Compared with the prior art in which the UE is in the high-speed rail resonance interval, a fixed Doppler frequency shift is used to estimate the channel parameters of the UE in the high-speed rail scene, this scheme processes the frequency deviation estimation value when it is determined that the UE is in the high-speed rail resonance interval, and estimates the channel parameters in the high-speed rail scene according to the processed frequency deviation estimation value, thereby ensuring the correctness of the parameter estimation of the UE in the high-speed rail resonance interval, making the processing strategy of the UE in the high-speed rail resonance interval more robust, thereby ensuring that the signal quality of the UE in the high-speed rail resonance interval is better, and improving the performance of the UE for a period of time after leaving the high-speed rail resonance interval, thereby solving the problem that the processing strategy of the UE in the high-speed rail resonance interval in the prior art is poor in robustness and affects the communication quality of the UE.

[0074] An embodiment of the present invention provides a device, the device including a processor, a memory, and a program stored in the memory and executable on the processor, and when the processor executes the program, at least the following steps are implemented:

[0075] Step S101, when it is determined that the UE is in a high-speed rail scenario, determining whether the UE is in a high-speed rail resonance interval according to a received signal;

[0076] Step S102: When the UE is in the high-speed rail resonance range, the frequency offset estimation value is processed, and channel parameter estimation in the high-speed rail scenario is performed based on the processed frequency offset estimation value.

[0077] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0078] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program for initializing at least the following method steps:

[0079] Step S101, when it is determined that the UE is in a high-speed rail scenario, determining whether the UE is in a high-speed rail resonance interval according to a received signal;

[0080] Step S102: When the UE is in the high-speed rail resonance range, the frequency offset estimation value is processed, and channel parameter estimation in the high-speed rail scenario is performed based on the processed frequency offset estimation value.

[0081] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the technical solution and technical effects of the present application will be explained below in conjunction with specific embodiments.

[0082] Example

[0083] In a specific embodiment of the present application, a processing solution for the resonance interval of a high-speed rail is also provided, see Figure 3 The processing scheme for the high-speed rail resonance section specifically includes the following steps:

[0084] Step S1: The signal-to-noise ratio of the received signal received by the UE is greater than the first signal-to-noise ratio threshold (i.e., SNRFD>TH1), and the current Doppler shift is greater than the Doppler shift threshold (i.e., Doppler>TH2), or the signal-to-noise ratio of the received signal is greater than the first signal-to-noise ratio threshold (i.e., SNRFD>TH1), and the current frequency offset estimation value is greater than the frequency offset estimation limit value (FOE>TH3), or the signal-to-noise ratio of the received signal is greater than the first signal-to-noise ratio threshold (i.e., SNRFD>TH1), and the current Doppler shift is greater than the Doppler shift threshold (i.e., Doppler>TH2), and the current frequency offset estimation value is greater than the frequency offset estimation limit value (FOE>TH3), and it is determined that the UE is in a high-speed scenario.

[0085] Step S2: When the UE is in a high-speed scenario, determine whether the received signal received by the UE is successfully clustered.

[0086] Step S3: When the UE is in a high-speed scenario and the received signals are successfully clustered, it is determined that the UE is in a high-speed rail scenario.

[0087] Step S4: When the UE device is in a high-speed rail scenario, for example, when the train is traveling between two base stations, that is, the UE device is in the middle of the two base stations. The received signal received by the UE is clustered, and the two path clusters with the largest energy obtained by clustering are respectively determined as the first path cluster and the second path cluster. The energy difference between the first path cluster and the second path cluster is determined to obtain a first energy difference; the delay difference between the first path cluster and the second path cluster is determined to obtain a first delay difference.

[0088] Step S5: When the first energy difference is less than the first energy threshold (first energy difference < TH4), and the first delay difference is less than the first delay threshold (first delay difference < TH5), or when the first energy difference is less than the first energy threshold (first energy difference < TH4), and the frequency offset estimation value of the second path cluster is close to the frequency offset estimation limit value, or when the first energy difference is less than the first energy threshold (first energy difference < TH4), the first delay difference is less than the first delay threshold (first delay difference < TH5), and the frequency offset estimation value of the second path cluster is close to the frequency offset estimation limit value, it is determined that the UE is in the high-speed rail resonance interval.

[0089] Step S6: Adjust the AFC adjustment threshold value, and based on the automatic frequency calibration AFC algorithm and the adjusted AFC adjustment threshold value, perform compensation processing on the multiple path clusters obtained based on the clustering of the received received signal to obtain the frequency offset estimation value of each path cluster after the compensation processing; perform inverse processing on the frequency offset estimation value of each path cluster after the compensation processing to obtain the frequency offset estimation value of each path cluster after the inverse processing; perform channel parameter estimation in the high-speed rail scenario based on the Doppler frequency shift of each path cluster and the corresponding frequency offset estimation value after the inverse processing; and / or, when the received received signal cannot be successfully clustered, perform channel parameter estimation in the high-speed rail scenario based on the Doppler frequency shift of each path cluster obtained last time and the processed frequency offset estimation value.

[0090] Step S7: when the received signal is successfully clustered, the two path clusters with the largest energy obtained by clustering are determined as the third path cluster and the fourth path cluster; the energy difference between the third path cluster and the fourth path cluster is determined to obtain a second energy difference.

[0091] Step S8: When the second energy difference is greater than the second energy threshold (second energy difference>TH6), the second delay difference is greater than the second delay threshold (second delay difference>TH7), and the duration for which the frequency deviation estimation value of the fourth path cluster is lower than the frequency deviation estimation limit value is greater than the first preset time (TH8), it is determined that the UE leaves the high-speed rail resonance interval.

[0092] Step S9: When it is determined that the UE has left the high-speed rail resonance interval, the duration for which the received signal cannot be successfully clustered is greater than the second preset time (TH10), and / or the duration for which the signal-to-noise ratio of the received signal is less than the second signal-to-noise ratio threshold (TH9) is greater than the second preset time (TH10), and channel parameter estimation in a non-high-speed rail scenario is performed based on the received signal; if any of the above conditions is not met, it is determined again based on the received signal whether the UE is in the high-speed rail resonance interval.

[0093] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0094] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the above-mentioned units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0095] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0096] In addition, each functional unit in each embodiment of the present invention may be integrated into a first processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0097] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or 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 above-mentioned methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0098] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0099] 1) In the processing method of the high-speed rail resonance interval of the present application, when the UE is in the high-speed rail scenario, it is determined whether the UE is currently in the high-speed rail resonance interval according to the received signal currently received by the UE; when it is determined that the UE is currently in the high-speed rail resonance interval, the channel parameter estimation of the high-speed rail scenario is performed through the processed frequency deviation estimation value. Compared with the prior art in which the UE is in the high-speed rail resonance interval and a fixed Doppler frequency shift is used to estimate the channel parameters of the UE in the high-speed rail scenario, this scheme processes the frequency deviation estimation value when it is determined that the UE is in the high-speed rail resonance interval, and estimates the channel parameters in the high-speed rail scenario according to the processed frequency deviation estimation value, thereby ensuring the correctness of the parameter estimation of the UE in the high-speed rail resonance interval, making the processing strategy of the UE in the high-speed rail resonance interval more robust, thereby ensuring that the signal quality of the UE in the high-speed rail resonance interval is better, and improving the performance of the UE for a period of time after leaving the high-speed rail resonance interval, thereby solving the problem that the processing strategy of the UE in the high-speed rail resonance interval in the prior art is poor in robustness and affects the communication quality of the UE.

[0100] 2) In the processing device of the high-speed rail resonance interval of the present application, the first determination unit is used to determine whether the UE is currently in the high-speed rail resonance interval according to the received signal currently received by the UE when the UE is in the high-speed rail scene; the first processing unit is used to estimate the channel parameters of the high-speed rail scene through the processed frequency deviation estimation value when it is determined that the UE is currently in the high-speed rail resonance interval. Compared with the prior art that uses a fixed Doppler frequency shift to estimate the channel parameters of the UE in the high-speed rail scene when the UE is in the high-speed rail resonance interval, this scheme processes the frequency deviation estimation value when it is determined that the UE is in the high-speed rail resonance interval, and estimates the channel parameters in the high-speed rail scene according to the processed frequency deviation estimation value, thus ensuring the correctness of the parameter estimation of the UE in the high-speed rail resonance interval, making the processing strategy of the UE in the high-speed rail resonance interval more robust, thereby ensuring that the signal quality of the UE in the high-speed rail resonance interval is better, and improving the performance of the UE for a period of time after leaving the high-speed rail resonance interval, thereby solving the problem that the processing strategy of the UE in the high-speed rail resonance interval in the prior art is poor in robustness and affects the communication quality of the UE.

[0101] 3) The user equipment of the present application can execute any of the above-mentioned processing methods for the high-speed rail resonance interval. In the above-mentioned processing method, when the UE is in the high-speed rail scene, it is determined whether the UE is currently in the high-speed rail resonance interval according to the received signal currently received by the UE; when it is determined that the UE is currently in the high-speed rail resonance interval, the channel parameter estimation of the high-speed rail scene is performed through the processed frequency deviation estimation value. Compared with the prior art in which the UE is in the high-speed rail resonance interval, a fixed Doppler frequency shift is used to estimate the channel parameters of the UE in the high-speed rail scene, this scheme processes the frequency deviation estimation value when it is determined that the UE is in the high-speed rail resonance interval, and estimates the channel parameters in the high-speed rail scene according to the processed frequency deviation estimation value, thereby ensuring the correctness of the parameter estimation of the UE in the high-speed rail resonance interval, making the processing strategy of the UE in the high-speed rail resonance interval more robust, thereby ensuring that the signal quality of the UE in the high-speed rail resonance interval is better, and improving the performance of the UE for a period of time after leaving the high-speed rail resonance interval, thereby solving the problem that the processing strategy of the UE in the high-speed rail resonance interval in the prior art is poor in robustness and affects the communication quality of the UE.

[0102] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for processing a high-speed rail resonance interval, the method being applied in a user equipment UE, characterized in that: include: In the case where it is determined that the UE is in a high-speed rail scenario, determining whether the UE is in a high-speed rail resonance interval according to the received reception signal; When the UE is in the high-speed rail resonance range, the frequency offset estimation value is processed, and the channel parameter estimation in the high-speed rail scenario is performed according to the processed frequency offset estimation value. In the case where it is determined that the UE is in a high-speed rail scenario, determining whether the UE is in a high-speed rail resonance interval according to a received signal includes: In the case where the received signal is successfully clustered, two path clusters with the largest energy obtained by clustering are respectively determined as a first path cluster and a second path cluster, and the energy of the second path cluster is less than the energy of the first path cluster; determining an energy difference between the first path cluster and the second path cluster to obtain a first energy difference; Determine whether the UE is in a high-speed rail resonance interval based on a first delay difference and at least one of the frequency offset estimation values ​​of the second path cluster and the first energy difference, wherein the first delay difference is the delay difference between the first path cluster and the second path cluster.

2. The processing method according to claim 1, characterized in that: Determining whether the UE is in a high-speed rail resonance interval according to at least one of the first delay difference and the frequency offset estimation value of the second path cluster and the first energy difference includes: When the first energy difference is less than a first energy threshold and the first delay difference is less than a first delay threshold, determining that the UE is in a high-speed rail resonance interval; or, When the first energy difference is less than the first energy threshold and the frequency offset estimation value of the second path cluster is close to the frequency offset estimation limit value, determining that the UE is in a high-speed rail resonance interval; or, When the first energy difference is less than a first energy threshold, the first delay difference is less than the first delay threshold, and the frequency offset estimation value of the second path cluster is close to the frequency offset estimation limit value, it is determined that the UE is in a high-speed rail resonance interval.

3. The processing method according to claim 1, characterized in that: When the UE is in the high-speed rail resonance range, the frequency offset estimation value is processed, and channel parameter estimation in the high-speed rail scenario is performed according to the processed frequency offset estimation value, including: Adjusting an AFC adjustment threshold value, and performing compensation processing on a plurality of path clusters obtained by clustering a received received signal based on an automatic frequency calibration AFC algorithm and the adjusted AFC adjustment threshold value, to obtain a frequency offset estimation value of each of the path clusters after the compensation processing; Performing back-inversion processing on the frequency offset estimation values ​​of each of the path clusters after the compensation processing to obtain the frequency offset estimation values ​​of each of the path clusters after the back-inversion processing; Perform channel parameter estimation in a high-speed rail scenario based on the Doppler frequency shift of each of the path clusters and the corresponding frequency offset estimation value after back-inversion processing; and / or, In the case that the received signals cannot be successfully clustered, channel parameter estimation in the high-speed rail scenario is performed based on the Doppler frequency shift of each of the path clusters obtained last time and the processed frequency offset estimation value.

4. The processing method according to claim 1, characterized in that: When the UE is in the high-speed rail resonance interval, the frequency offset estimation value is processed, and after the channel parameter estimation in the high-speed rail scenario is performed according to the processed frequency offset estimation value, the processing method further includes: In the case where the received signals are successfully clustered, two path clusters with the largest energy obtained by clustering are determined as a third path cluster and a fourth path cluster, and the energy of the fourth path cluster is less than that of the third path cluster; determining an energy difference between the third path cluster and the fourth path cluster to obtain a second energy difference; When the second energy difference is greater than the second energy threshold, the second delay difference is greater than the second delay threshold, and the duration that the frequency deviation estimation value of the fourth path cluster is lower than the frequency deviation estimation limit value is greater than the first preset time, it is determined that the UE leaves the high-speed rail resonance interval, and the second delay difference is the delay difference between the third path cluster and the fourth path cluster.

5. The processing method according to any one of claims 1 to 4, characterized in that: The process of determining that the UE is in the high-speed rail scenario includes: When the signal-to-noise ratio of the received signal is greater than a first signal-to-noise ratio threshold, and the current Doppler frequency shift is greater than the Doppler frequency shift threshold and / or the current frequency offset estimation value is greater than the frequency offset estimation limit value, determining that the UE is in a high-speed scenario; When the UE is in a high-speed scenario and the received signals are successfully clustered, it is determined that the UE is in a high-speed rail scenario.

6. The processing method according to claim 4, characterized in that: After determining that the UE leaves the high-speed rail resonance interval, the processing method further includes: If the preset conditions are met, channel parameter estimation in a non-high-speed rail scenario is performed based on the received received signal, and the preset conditions are: the duration for which the received received signal cannot be successfully clustered is greater than a second preset time, and / or the duration for which the signal-to-noise ratio of the received received signal is less than a second signal-to-noise ratio threshold is greater than the second preset time; When the preset condition is not met, it is determined again based on the received signal whether the UE is in the high-speed rail resonance interval.

7. A processing device for a high-speed rail resonance interval, the processing device being applied in a user equipment UE, characterized in that: include: A first determining unit is used to determine whether the UE is in a high-speed rail resonance interval according to a received reception signal when it is determined that the UE is in a high-speed rail scenario; The first processing unit is used to process the frequency offset estimation value when the UE is in the high-speed rail resonance interval, and perform channel parameter estimation in the high-speed rail scenario according to the processed frequency offset estimation value, wherein the first determination unit includes: A first determining module is used to determine two path clusters with the largest energy obtained by clustering as a first path cluster and a second path cluster respectively when the received signal is successfully clustered, wherein the energy of the second path cluster is less than the energy of the first path cluster; A second determining module, configured to determine an energy difference between the first path cluster and the second path cluster to obtain a first energy difference; The third determination module is used to determine whether the UE is in the high-speed rail resonance interval based on the first delay difference and at least one of the frequency offset estimation values ​​of the second path cluster and the first energy difference, wherein the first delay difference is the delay difference between the first path cluster and the second path cluster.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the high-speed rail resonance interval processing method as described in any one of claims 1 to 6.

9. A user equipment, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a processing method for executing the high-speed rail resonance interval described in any one of claims 1 to 6.

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