CN111294301A - Doppler estimation method and device, storage medium and terminal - Google Patents
Doppler estimation method and device, storage medium and terminal Download PDFInfo
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- CN111294301A CN111294301A CN201910341518.4A CN201910341518A CN111294301A CN 111294301 A CN111294301 A CN 111294301A CN 201910341518 A CN201910341518 A CN 201910341518A CN 111294301 A CN111294301 A CN 111294301A
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L27/0014—Carrier regulation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0014—Carrier regulation
- H04L2027/0024—Carrier regulation at the receiver end
- H04L2027/0026—Correction of carrier offset
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Abstract
A Doppler estimation method and device, a storage medium and a terminal are provided, wherein the Doppler estimation method comprises the following steps: receiving high-speed moving scene indication information from a base station, and determining that the mobile terminal is in a network covering a high-speed route according to the high-speed moving scene indication information; selecting a Doppler estimation algorithm adopted by Doppler estimation at least according to the frequency point of the cell of the resident cell or the output result of the Doppler correlation estimation, wherein the Doppler estimation algorithm is selected from the Doppler correlation estimation and the Doppler fitting estimation; and performing Doppler estimation by using the selected Doppler estimation algorithm. The technical scheme of the invention can improve the accuracy of Doppler estimation.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a doppler estimation method and apparatus, a storage medium, and a terminal.
Background
In a Long Term Evolution (LTE) system, a terminal performs Automatic Frequency Control (AFC) to correct a frequency offset caused by a temperature change. In the LTE system, the terminal converges the frequency offset by large frequency offset estimation adjustment in the cell synchronization stage and automatic frequency offset control in the subsequent tracking stage, and supports scenarios with large frequency offset changes, such as reselection, handover, and high-speed movement (including high-speed movement). The frequency offset adjustment in the synchronization phase may generally correct a frequency offset range of +/-22.5kHz, depending on the synchronization frequency offset calibration algorithm. Whereas the frequency offset tracking, typically caused by temperature changes, of the stabilization phase can generally track to the +/-1.75kHz range.
However, in a high-speed moving scenario, the frequency offset estimated by the AFC has a Doppler (Doppler) frequency offset portion. However, not all terminals will perform doppler estimation, and the AFC loop will not track quickly, which will cause residual frequency offset after AFC frequency offset adjustment, and affect channel estimation.
Disclosure of Invention
The technical problem solved by the invention is how to improve the accuracy of Doppler estimation.
To solve the above technical problem, an embodiment of the present invention provides a doppler estimation method, where the doppler estimation method includes: receiving high-speed moving scene indication information from a base station, and determining that the mobile terminal is in a network covering a high-speed route according to the high-speed moving scene indication information; selecting a Doppler estimation algorithm adopted by Doppler estimation at least according to the frequency point of the cell of the resident cell or the output result of the Doppler correlation estimation, wherein the Doppler estimation algorithm is selected from the Doppler correlation estimation and the Doppler fitting estimation; and performing Doppler estimation by using the selected Doppler estimation algorithm.
Optionally, the doppler estimation method further includes: and outputting the Doppler estimation result for channel estimation.
Optionally, the doppler estimation algorithm adopted for selecting doppler estimation at least according to the cell frequency point of the residential cell includes: if the cell frequency point of the resident cell is in a connected state and is greater than a preset threshold, judging whether the number of the virtual reference signals reaches a preset number, wherein the preset threshold is greater than or equal to 2 GHz; and selecting the Doppler related estimation if the number of the virtual reference signals reaches the preset number.
Optionally, the doppler estimation algorithm for selecting doppler estimation at least according to the cell frequency of the connected cell includes: enabling the Doppler related estimation if the cell frequency point of the resident cell is greater than a preset threshold in a connected state; determining whether the number of virtual reference signals reaches a preset number at least when the output result of the Doppler correlation estimation is smaller than a first preset gear; and selecting the Doppler related estimation if the number of the virtual reference signals reaches the preset number.
Optionally, the selecting a doppler estimation algorithm for doppler estimation according to at least an output result of the doppler correlation estimation includes: if the output result of the Doppler correlation estimation is smaller than a first preset gear, determining whether the number of the virtual reference signals reaches a preset number; and selecting the Doppler related estimation if the number of the virtual reference signals reaches the preset number.
Optionally, the doppler estimation method further includes: and if the number of the virtual reference signals does not reach the preset number, selecting the Doppler fitting estimation.
In order to solve the above technical problem, an embodiment of the present invention further discloses a doppler estimation device, where the doppler estimation device includes: the high-speed moving scene indication information receiving module is suitable for receiving high-speed moving scene indication information from a base station and determining that the high-speed moving scene indication information is in a network covering a high-speed route according to the high-speed moving scene indication information; the Doppler estimation algorithm selection module is suitable for selecting a Doppler estimation algorithm adopted by Doppler estimation at least according to the frequency point of the cell of the resident cell or the output result of the Doppler correlation estimation, and the Doppler estimation algorithm is selected from the Doppler correlation estimation and the Doppler fitting estimation; and the Doppler estimation module is suitable for performing Doppler estimation by using the selected Doppler estimation algorithm.
The embodiment of the invention also discloses a storage medium, wherein computer instructions are stored on the storage medium, and the steps of the Doppler estimation method are executed when the computer instructions are executed.
The embodiment of the invention also discloses a terminal, which comprises a memory and a processor, wherein the memory is stored with computer instructions capable of running on the processor, and the processor executes the steps of the Doppler estimation method when running the computer instructions.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
the technical scheme of the invention receives the indication information of the high-speed moving scene from the base station, and determines that the mobile terminal is in a network covering a high-speed route according to the indication information of the high-speed moving scene; selecting a Doppler estimation algorithm adopted by Doppler estimation at least according to the frequency point of the cell of the resident cell or the output result of the Doppler correlation estimation, wherein the Doppler estimation algorithm is selected from the Doppler correlation estimation and the Doppler fitting estimation; and performing Doppler estimation by using the selected Doppler estimation algorithm. In the technical scheme of the invention, after the high-speed moving state is determined, the terminal can select a proper Doppler estimation calculation algorithm at least according to the frequency point of a cell or the output result of Doppler estimation and use the algorithm for Doppler estimation; by selecting a proper Doppler estimation algorithm, the accuracy of Doppler estimation can be ensured, so that the reliability of data transmission between the terminal and the base station is improved. In addition, by improving the accuracy of Doppler estimation, the residual frequency offset after AFC adjustment can be better processed, and the accuracy of channel estimation is further improved.
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FIG. 1 is a flow chart of a Doppler estimation method according to an embodiment of the invention;
FIG. 2 is a diagram illustrating an exemplary application scenario of the present invention;
fig. 3 is a schematic structural diagram of a doppler estimation device according to an embodiment of the present invention.
Detailed Description
As described in the background, in a high-speed-motion (high-speed-motion) scenario, the frequency offset estimated by AFC is the portion with Doppler frequency offset. However, not all terminals will perform doppler estimation, and the AFC loop will not track quickly, which will cause residual frequency offset after AFC frequency offset adjustment, and affect channel estimation.
In an LTE system, in a high-speed mobile scenario, when a terminal moves between two Radio Remote Units (RRUs), there is time for positive and negative switching of doppler, and the corresponding doppler frequency offset is relatively large, and the doppler size is related to the moving speed and also related to the terminal resident frequency point. Therefore, even if the terminal performs doppler estimation, the doppler estimation is inaccurate due to the respective disadvantages and limitations of different doppler estimation algorithms. When a plurality of doppler estimation algorithms are adopted, the problem of how to select the doppler estimation algorithm is faced.
In the technical scheme of the invention, after the high-speed moving state is determined, the terminal can select a proper Doppler estimation calculation algorithm at least according to the frequency point of a cell or the output result of Doppler estimation and use the algorithm for Doppler estimation; by selecting a proper Doppler estimation algorithm, the accuracy of Doppler estimation can be ensured, so that the reliability of data transmission between the terminal and the base station is improved. In addition, by improving the accuracy of Doppler estimation, the residual frequency offset after AFC adjustment can be better processed, and the accuracy of channel estimation is further improved.
The technical solution of the present invention may be applied to a fifth Generation (5G) communication system, a 4G communication system, a 3G communication system, and various future new communication systems, such as 6G, 7G, and the like, which is not limited in this embodiment of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Fig. 1 is a flowchart of a doppler estimation method according to an embodiment of the present invention.
The Doppler estimation method of the embodiment of the invention can be used for a terminal (User Equipment, UE) side. That is, the various steps of the method shown in fig. 1 may be performed by the terminal.
The doppler estimation method shown in fig. 1 may include the following steps:
step S101: receiving high-speed moving scene indication information from a base station, and determining that the mobile terminal is in a network covering a high-speed route according to the high-speed moving scene indication information;
step S102: selecting a Doppler estimation algorithm adopted by Doppler estimation at least according to the frequency point of the cell of the resident cell or the output result of the Doppler correlation estimation, wherein the Doppler estimation algorithm is selected from the Doppler correlation estimation and the Doppler fitting estimation;
step S103: and performing Doppler estimation by using the selected Doppler estimation algorithm.
It should be noted that the sequence numbers of the steps in this embodiment do not represent a limitation on the execution sequence of the steps.
In the specific implementation of step S101, the terminal may receive high-speed moving scene indication information issued by the base station, where the high-speed moving scene indication information may indicate whether the terminal is in a network covering a high-speed route. Specifically, the high-speed moving scene indication Information may be carried in a System message, such as a System Information Block (SIB 2) 2. The high-speed moving scene indication information may specifically be HighSpeedFlag, which occupies one bit, where a bit of 1 indicates that the terminal is in a high-speed moving state, and a bit of 0 indicates that the terminal is in a non-high-speed moving state.
The high-speed route referred to in the embodiments of the present invention may be a route for high-speed travel, and may be, for example, a high-speed railway or the like.
In a specific application scenario, the user equipment may be in a high-speed railway train, and the high-speed railway train may be in a high-speed motion state or in a low-speed motion state when entering a station.
It should be understood by those skilled in the art that "high speed" of the terminal in a high speed moving state may refer to the moving speed of the high-speed rail in a real environment, for example, the speed is greater than 300 kilometers per hour (Km/h) when the terminal is operated at full speed; the low-speed motion state of the terminal when entering the station may be a moving speed when the terminal decelerates entering the station, which is not limited in this embodiment of the present invention.
In the specific implementation of step S102, a cell frequency point of the terminal camping on the cell may be determined. Because the frequency deviation ranges which can be covered by different Doppler estimation algorithms are different, and the magnitude of the Doppler frequency deviation is related to the cell frequency point where the terminal resides, a proper Doppler estimation algorithm can be selected at least through the cell frequency point.
Alternatively, due to the limitations of different doppler estimation algorithms, for example, the output results of doppler correlation estimation are different under different channel conditions, the doppler estimation algorithm used for doppler estimation can be selected at least according to the output results of doppler correlation estimation.
In this embodiment, the Doppler estimation algorithm is selected from Doppler Time-domain Correlation (Doppler Time-domain Correlation) and Doppler Fitting (Doppler Fitting).
In this embodiment, the reason for selecting the finally-used doppler estimation algorithm from the two specific doppler estimation algorithms is that, compared with other doppler estimation algorithms in the prior art, such as a level estimation algorithm, a covariance estimation algorithm, and the like, the problems of inaccurate estimation, high complexity, few available scenes, and the like can be overcome.
It will be appreciated by those skilled in the art that reference may be made to the prior art for specific procedures for doppler estimation using doppler correlation estimation or using doppler fit estimation, and embodiments of the present invention are not limited in this respect.
In an embodiment of the present invention, in a high-speed moving scenario, at a frequency greater than 2 gigahertz (Hz), the frequency offset of the terminal may exceed plus or minus 1.5 kilohertz (KHz), and the doppler fit estimation cannot cover a range exceeding plus or minus 1.5KHz, in which case, the doppler correlation estimation may be selected for the final doppler estimation.
In another embodiment of the present invention, the estimated gear value of the doppler correlation estimation under the noise channel is higher, so that the doppler correlation estimation can be selected for the doppler estimation in the case that the output result of the doppler correlation estimation is smaller than the first preset gear. Otherwise, the doppler fit estimate can be selected for doppler estimation.
Wherein, the higher the output gear of the doppler correlation estimation, the higher the output value of the doppler correlation estimation, for example, 12 gears may be set, and the output frequency value corresponding to each gear is [0,40,60,80,100,200,300,400,500,650,800,1000] Hz respectively.
It should be noted that, the specific number of gears and the corresponding relationship between the gear and the frequency adopted by the doppler estimation algorithm may be set according to an actual application environment, and the embodiment of the present invention is not limited thereto.
In the embodiment of the invention, after the mobile terminal is determined to enter the high-speed moving state, the terminal can select a proper Doppler estimation calculation algorithm at least according to the frequency point of the cell or the output result of Doppler estimation and use the algorithm for Doppler estimation; by selecting a proper Doppler estimation algorithm, the accuracy of Doppler estimation can be ensured, so that the reliability of data transmission between the terminal and the base station is improved. In addition, by improving the accuracy of Doppler estimation, the residual frequency offset after AFC adjustment can be better processed, and the accuracy of channel estimation is further improved.
In a preferred embodiment of the present invention, the doppler estimation method shown in fig. 1 may further include the following steps: and outputting the Doppler estimation result for channel estimation.
In the embodiment of the invention, the Doppler estimation result can be output and used for channel estimation. Since the accuracy of the doppler estimation is improved, the accuracy of the channel estimation can also be improved.
In one non-limiting embodiment of the present invention, step S102 shown in fig. 1 may include the following steps:
enabling the Doppler related estimation if the cell frequency point of the resident cell is in a connected state and is greater than a preset threshold, and determining whether the number of virtual reference signals reaches a preset number or not at least when the output result of the Doppler related estimation is smaller than a first preset gear; and selecting the Doppler related estimation if the number of the virtual reference signals reaches the preset number.
In this embodiment, since the Virtual-reference signal (VRS) is a prerequisite for the time-domain correlation operation, the doppler correlation estimation has a certain requirement on the number of VRSs, for example, the doppler correlation estimation can be executed only when the number of VRSs reaches a preset number,
the virtual Reference Signal in this embodiment is obtained by Cell-Reference Signal (CRS) interpolation, so as to ensure that CRS Reference signals are available at Channel Element (CE) positions corresponding to CRS symbols (symbols) adjacent to each other in a time domain. For a specific process of obtaining VRS by using CRS interpolation, reference may be made to the prior art, and the embodiment of the present invention is not limited thereto.
Therefore, the Doppler estimation algorithm can be selected according to the number of the cell frequency points and the VRS. In other words, when the cell frequency point is greater than the preset threshold and the number of the virtual reference signals reaches the preset number, selecting the Doppler related estimation, otherwise selecting the Doppler fitting estimation.
In a specific embodiment, when the moving speed in the high-speed moving state reaches the preset speed value, that is, the terminal is in high-speed movement, the doppler estimation algorithm may be selected by combining the number of the cell frequency points and the VRSs.
In one non-limiting embodiment of the present invention, step S102 shown in fig. 1 may include the following steps: determining whether the number of virtual reference signals reaches a preset number at least when the output result of the Doppler correlation estimation is smaller than a first preset gear; and selecting the Doppler related estimation if the number of the virtual reference signals reaches the preset number.
In this embodiment, as described above, the gear value of the output gear of the doppler correlation estimation under the noise channel is higher, so when the output result of the doppler correlation estimation is smaller than the first preset gear, the doppler estimation algorithm is selected according to the number of the virtual reference signals.
Specifically, the doppler correlation estimation may be selected when an output result of the doppler correlation estimation is smaller than a first preset gear and the number of the virtual reference signals reaches the preset number, or else, the doppler fit estimation is selected.
In a specific embodiment, when the moving speed in the high-speed moving state is less than a preset speed value, it indicates that the terminal is in a stationary state or a low-speed moving state, in which case, the doppler estimation algorithm may be selected in combination with the output gear of the doppler correlation estimation and the number of VRSs.
In one non-limiting embodiment of the present invention, when using doppler correlation estimation for doppler estimation, a doppler Alpha (Alpha) filter restart (Reset) may be configured when a Fast Fourier Transform (FFT) is first started.
In a non-limiting embodiment of the present invention, to ensure that the doppler estimation of the handover point is carried up and down, when entering and exiting the high-speed mobile handover point and the cell handover point, the doppler estimation Alpha filter can be restarted, and the doppler estimation is restarted. Wherein, the restart of the Alpha filter is not needed during the bandwidth switching.
In a specific application scenario of the present invention, referring to fig. 2, the doppler estimation method may include the following steps:
step S201: and receiving the high-speed moving scene indication information from the base station, and judging and determining that the mobile terminal is in the network covering the high-speed route according to the high-speed moving scene indication information.
Step S203: and judging whether the output result of the Doppler correlation estimation is smaller than a first preset gear and whether the output result of the Doppler correlation estimation is larger than a preset threshold. If so, the process proceeds to step S204, otherwise, the process proceeds to step S206.
Different from the foregoing embodiments, the embodiment of the present invention further needs to determine whether an output result of the doppler correlation estimation is greater than a preset threshold. Because the output gear of the doppler fit estimation is relatively accurate when being low, for example, the doppler fit estimation can be selected when the output gear of the doppler fit estimation is 0 gear or 1 gear, and the preset threshold value can be 1 gear, the doppler correlation estimation needs to be selected only when the output result of the doppler correlation estimation is greater than the preset threshold value.
In a specific example, the first preset gear DPLCLowThreshold may be gear 9, i.e. 500Hz, and the preset threshold PDLFHighThreshold may be gear 2, i.e. 40 Hz. Wherein, 12 gears can be set, and the output frequency value corresponding to each gear is [0,40,60,80,100,200,300,400,500,650,800,1000] Hz.
Step S204: and judging whether the VRS number reaches a preset number, if so, entering the step S205, otherwise, entering the step S206.
Step S205: a doppler correlation estimate is selected and used to perform doppler estimation.
Step S206: doppler fit estimates are selected and used to make doppler estimates.
Step S207: and judging whether the cell frequency point of the resident cell is greater than 2GHz, if so, entering the step S204, and otherwise, entering the step S206.
For more detailed implementation of the embodiments of the present invention, please refer to the foregoing embodiments, which are not described herein again.
Referring to fig. 3, an embodiment of the invention further discloses a doppler estimation device 30. The doppler estimation device 30 may include a high-speed moving scene indication information receiving module 301, a doppler estimation algorithm selecting module 302 and a doppler estimation module 303.
The high-speed moving scene indication information receiving module 301 is adapted to receive high-speed moving scene indication information from a base station, and determine that the mobile terminal is in a network covering a high-speed route according to the high-speed moving scene indication information; the doppler estimation algorithm selection module 302 is adapted to select a doppler estimation algorithm used for doppler estimation at least according to a cell frequency point of a resident cell or an output result of doppler correlation estimation, wherein the doppler estimation algorithm is selected from the doppler correlation estimation and doppler fitting estimation; the doppler estimation module 303 is adapted to perform doppler estimation using a selected doppler estimation algorithm.
For more details of the operation principle and the operation mode of the doppler estimation device 30, reference may be made to the relevant descriptions in fig. 1 to fig. 2, which are not described herein again.
The embodiment of the invention also discloses a storage medium, wherein computer instructions are stored on the storage medium, and when the computer instructions are operated, the steps of the method shown in the figure 1 or the figure 2 can be executed. The storage medium may include ROM, RAM, magnetic or optical disks, etc. The storage medium may further include a non-volatile memory (non-volatile) or a non-transitory memory (non-transient), and the like.
The embodiment of the invention also discloses a terminal which can comprise a memory and a processor, wherein the memory is stored with computer instructions capable of running on the processor. The processor, when executing the computer instructions, may perform the steps of the method shown in fig. 1 or fig. 2. The terminal includes, but is not limited to, a mobile phone, a computer, a tablet computer and other terminal devices.
The terminal in the embodiments of the present invention may be any practicable access terminal, subscriber unit, subscriber station, mobile station (mobile station, MS), remote station, remote terminal, mobile device, user terminal, terminal device (terminal equipment), wireless communication device, user agent, or user equipment. The terminal may also be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with a Wireless communication function, a computing device or other processing devices connected to a Wireless modem, a vehicle-mounted device, a wearable device, a terminal device in a future 5G Network or a terminal device in a future evolved Public Land Mobile Network (PLMN), and the like, which is not limited in this embodiment.
It should be understood that, in the embodiment of the present application, the processor may be a Central Processing Unit (CPU), and the processor may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will also be appreciated that the memory in the embodiments of the subject application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM) which acts as external cache memory. By way of example and not limitation, many forms of Random Access Memory (RAM) are available, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and direct bus RAM (DR RAM).
The embodiments described above in this application may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer instructions or the computer program are loaded or executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire or wirelessly. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (9)
1. A doppler estimation method, comprising:
receiving high-speed moving scene indication information from a base station, and determining that the mobile terminal is in a network covering a high-speed route according to the high-speed moving scene indication information;
selecting a Doppler estimation algorithm adopted by Doppler estimation at least according to the frequency point of the cell of the resident cell or the output result of the Doppler correlation estimation, wherein the Doppler estimation algorithm is selected from the Doppler correlation estimation and the Doppler fitting estimation;
and performing Doppler estimation by using the selected Doppler estimation algorithm.
2. The doppler estimation method according to claim 1, further comprising:
and outputting the Doppler estimation result for channel estimation.
3. The doppler estimation method according to claim 1, wherein the doppler estimation algorithm for selecting doppler estimation at least according to the frequency of the cell in the camped cell comprises:
if the cell frequency point of the resident cell is in a connected state and is greater than a preset threshold, judging whether the number of the virtual reference signals reaches a preset number, wherein the preset threshold is greater than or equal to 2 GHz;
and selecting the Doppler related estimation if the number of the virtual reference signals reaches the preset number.
4. The doppler estimation method according to claim 1, wherein the doppler estimation algorithm for selecting doppler estimation at least according to the frequency of the cell in the camped cell comprises:
enabling the Doppler related estimation if the cell frequency point of the resident cell is in a connected state and is greater than a preset threshold, wherein the preset threshold is greater than or equal to 2 GHz;
determining whether the number of virtual reference signals reaches a preset number at least when the output result of the Doppler correlation estimation is smaller than a first preset gear;
and selecting the Doppler related estimation if the number of the virtual reference signals reaches the preset number.
5. The Doppler estimation method according to claim 4, wherein the determining whether the number of virtual reference signals reaches a preset number at least when the output result of the Doppler correlation estimation is smaller than a first preset step comprises:
and when the output result of the Doppler correlation estimation is smaller than the first preset gear and larger than the second preset gear, determining whether the number of the virtual reference signals reaches a preset number, wherein the first preset gear is larger than the second preset gear.
6. The Doppler estimation method according to claim 3 or 4, further comprising:
and if the number of the virtual reference signals does not reach the preset number, selecting the Doppler fitting estimation.
7. A doppler estimation device, comprising:
the high-speed moving scene indication information receiving module is suitable for receiving high-speed moving scene indication information from a base station and determining that the high-speed moving scene indication information is in a network covering a high-speed route according to the high-speed moving scene indication information;
the Doppler estimation algorithm selection module is suitable for selecting a Doppler estimation algorithm adopted by Doppler estimation at least according to the frequency point of the cell of the resident cell or the output result of the Doppler correlation estimation, and the Doppler estimation algorithm is selected from the Doppler correlation estimation and the Doppler fitting estimation;
and the Doppler estimation module is suitable for performing Doppler estimation by using the selected Doppler estimation algorithm.
8. A storage medium having stored thereon computer instructions which, when executed, perform the steps of the doppler estimation method of any one of claims 1 to 6.
9. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, wherein the processor, when executing the computer instructions, performs the steps of the doppler estimation method of any one of claims 1 to 6.
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