CN111294301B - Doppler frequency offset estimation method and device, storage medium and terminal - Google Patents
Doppler frequency offset estimation method and device, storage medium and terminal Download PDFInfo
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- CN111294301B CN111294301B CN201910341518.4A CN201910341518A CN111294301B CN 111294301 B CN111294301 B CN 111294301B CN 201910341518 A CN201910341518 A CN 201910341518A CN 111294301 B CN111294301 B CN 111294301B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0014—Carrier regulation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
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- H04L25/0202—Channel estimation
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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 frequency offset estimation method and device, a storage medium and a terminal are provided, wherein the Doppler frequency offset 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 frequency offset estimation algorithm adopted by Doppler frequency offset estimation at least according to a cell frequency point of a resident cell or an output result of Doppler related estimation, wherein the Doppler frequency offset estimation algorithm is selected from the Doppler related estimation and Doppler fitting estimation; and performing Doppler frequency offset estimation by using the selected Doppler frequency offset estimation algorithm. The technical scheme of the invention can improve the accuracy of Doppler frequency offset estimation.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a doppler frequency offset 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 enables frequency deviation to be converged through large frequency deviation estimation adjustment in a cell synchronization stage and automatic frequency deviation control in a subsequent tracking stage, and supports scenes with large frequency deviation changes such as reselection, switching and 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 frequency offset estimation, and AFC loop tracking will not be fast, which will cause residual frequency offset to exist after AFC frequency offset adjustment, thus affecting channel estimation.
Disclosure of Invention
The technical problem solved by the invention is how to improve the accuracy of Doppler frequency offset estimation.
In order to solve the above technical problem, an embodiment of the present invention provides a doppler frequency offset estimation method, where the doppler frequency offset 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 frequency offset estimation algorithm adopted by Doppler frequency offset estimation at least according to a cell frequency point of a resident cell or an output result of Doppler related estimation, wherein the Doppler frequency offset estimation algorithm is selected from the Doppler related estimation and Doppler fitting estimation; and performing Doppler frequency offset estimation by using the selected Doppler frequency offset estimation algorithm.
Optionally, the doppler frequency offset estimation method further includes: and outputting the result of the Doppler frequency offset estimation for channel estimation.
Optionally, the doppler frequency offset estimation algorithm for selecting doppler frequency offset 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 frequency offset estimation algorithm for selecting doppler frequency offset estimation according to at least the cell frequency point 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 frequency offset estimation algorithm for doppler frequency offset estimation according to at least the 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 frequency offset 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 frequency offset estimation apparatus, where the doppler frequency offset estimation apparatus 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 frequency offset estimation algorithm selection module is suitable for selecting a Doppler frequency offset estimation algorithm adopted by Doppler frequency offset estimation at least according to the cell frequency point of a resident cell or the output result of Doppler related estimation, and the Doppler frequency offset estimation algorithm is selected from the Doppler related estimation and the Doppler fitting estimation; and the Doppler frequency offset estimation module is suitable for performing Doppler frequency offset estimation by using the selected Doppler frequency offset 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 frequency offset 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 frequency offset 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 frequency offset estimation algorithm adopted by Doppler frequency offset estimation at least according to the cell frequency point of a resident cell or the output result of Doppler related estimation, wherein the Doppler frequency offset estimation algorithm is selected from the Doppler related estimation and Doppler fitting estimation; and performing Doppler frequency offset estimation by using the selected Doppler frequency offset estimation algorithm. In the technical scheme of the invention, after the terminal is determined to enter the high-speed moving state, the terminal can select a proper Doppler frequency offset estimation algorithm at least according to the frequency point of the cell or the output result of the Doppler frequency offset estimation and use the algorithm for the Doppler frequency offset estimation; by selecting a proper Doppler frequency offset estimation algorithm, the accuracy of Doppler frequency offset 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 frequency offset estimation, the residual frequency offset after AFC adjustment can be better processed, and the accuracy of channel estimation is further improved.
Drawings
FIG. 1 is a flow chart of a method for estimating Doppler frequency offset 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 frequency offset estimation apparatus according to an embodiment of the present invention.
Detailed Description
As described in the background, in a high-speed motion scenario, the frequency offset estimated by AFC is accompanied by a portion of Doppler frequency offset. However, not all terminals will perform doppler frequency offset estimation, and AFC loop tracking will not be fast, 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 frequency offset estimation, because different doppler frequency offset estimation algorithms have respective disadvantages and limitations, the doppler frequency offset estimation is inaccurate by using a single doppler frequency offset estimation algorithm. When a plurality of doppler frequency offset estimation algorithms are adopted, the problem of how to select the doppler frequency offset estimation algorithm is faced.
In the technical scheme of the invention, after the terminal is determined to enter the high-speed moving state, the terminal can select a proper Doppler frequency offset estimation algorithm at least according to the frequency point of the cell or the output result of the Doppler frequency offset estimation and use the algorithm for the Doppler frequency offset estimation; by selecting a proper Doppler frequency offset estimation algorithm, the accuracy of Doppler frequency offset 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 frequency offset 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 frequency offset estimation method according to an embodiment of the present invention.
The Doppler frequency offset estimation method provided by the embodiment of the invention can be used on 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 frequency offset 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 frequency offset estimation algorithm adopted by Doppler frequency offset estimation at least according to the cell frequency point of a resident cell or the output result of Doppler related estimation, wherein the Doppler frequency offset estimation algorithm is selected from the Doppler related estimation and Doppler fitting estimation;
step S103: and performing Doppler frequency offset estimation by using the selected Doppler frequency offset 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) Block 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 moving state or in a low-speed moving 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 a specific implementation of step S102, a cell frequency point of a cell where the terminal camps may be determined. Because the frequency offset ranges which can be covered by different Doppler frequency offset estimation algorithms are different, and the magnitude of the Doppler frequency offset is related to the cell frequency point where the terminal resides, a proper Doppler frequency offset estimation algorithm can be selected at least through the cell frequency point.
Or, due to the limitations of different doppler frequency offset estimation algorithms, for example, the output results of doppler correlation estimation under different channel conditions are different, the doppler frequency offset estimation algorithm used for doppler frequency offset estimation may be selected at least according to the output results of doppler correlation estimation.
In this embodiment, the Doppler frequency offset estimation algorithm is selected from Doppler Time-domain Correlation (Doppler Time-domain Correlation) and Doppler Fitting (Doppler Fitting).
In this embodiment, the finally-used doppler frequency offset estimation algorithm is selected from the two specific doppler frequency offset estimation algorithms, because compared with other doppler frequency offset 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 should be understood by those skilled in the art that the specific process of estimating the doppler frequency offset using doppler correlation estimation or using doppler fit estimation may refer to the prior art, and the embodiments of the present invention are not limited thereto.
In an embodiment of the present invention, in a high-speed moving scenario, at a frequency point with 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 1.5 KHz.
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 frequency offset 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 may be selected for doppler frequency offset 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 frequency offset estimation algorithm may be set according to an actual application environment, which is not limited in this embodiment of the present invention.
In the embodiment of the invention, after the high-speed moving state is determined, the terminal can select a proper Doppler frequency offset estimation algorithm at least according to the frequency point of the cell or the output result of Doppler frequency offset estimation and use the algorithm for Doppler frequency offset estimation; by selecting a proper Doppler frequency offset estimation algorithm, the accuracy of Doppler frequency offset 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 frequency offset 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 frequency offset estimation method shown in fig. 1 may further include the following steps: and outputting the result of the Doppler frequency offset estimation for channel estimation.
In the embodiment of the invention, the result of Doppler frequency offset estimation can be output and used for channel estimation. Because the accuracy of the Doppler frequency offset 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 correlation 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 frequency offset estimation algorithm can be selected according to the number of the cell frequency points and the VRSs. 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 the high-speed moving state, the doppler frequency offset estimation algorithm may be selected by combining the number of the cell frequency points and the number of 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 in the noise channel is higher, so when the output result of the doppler correlation estimation is smaller than the first preset gear, the doppler frequency offset 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 this case, a doppler frequency offset 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 frequency offset estimation, a doppler Alpha (Alpha) filter restart (Reset) may be configured when Fast Fourier Transform (FFT) is first started.
In a non-limiting embodiment of the present invention, in order to ensure that the doppler frequency offset 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 frequency offset estimation Alpha filter may be 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 frequency offset 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: and selecting Doppler related estimation and using the Doppler related estimation for Doppler frequency offset estimation.
Step S206: and selecting Doppler fitting estimation and using the Doppler fitting estimation for Doppler frequency offset estimation.
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 frequency offset estimation device 30. The doppler frequency offset estimation apparatus 30 may include a high-speed moving scene indication information receiving module 301, a doppler frequency offset estimation algorithm selecting module 302, and a doppler frequency offset 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 frequency offset estimation algorithm selection module 302 is adapted to select a doppler frequency offset estimation algorithm used for doppler frequency offset estimation according to at least a cell frequency point of a resident cell or an output result of doppler related estimation, wherein the doppler frequency offset estimation algorithm is selected from the doppler related estimation and doppler fitting estimation; the doppler frequency offset estimation module 303 is adapted to perform doppler frequency offset estimation using a selected doppler frequency offset estimation algorithm.
For more details of the operating principle and the operating mode of the doppler frequency offset estimation device 30, reference may be made to the relevant descriptions in fig. 1 to fig. 2, which are not repeated herein.
The embodiment of the invention also discloses a storage medium, on which computer instructions are stored, and when the computer instructions are operated, the steps of the method shown in fig. 1 or fig. 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 (enhanced SDRAM), SDRAM (SLDRAM), 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 (7)
1. A method for estimating doppler frequency offset, 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 frequency offset estimation algorithm adopted by Doppler frequency offset estimation at least according to the cell frequency point of a resident cell or the output result of Doppler related estimation, wherein the Doppler frequency offset estimation algorithm is selected from the Doppler related estimation and Doppler fitting estimation;
performing Doppler frequency offset estimation by using the selected Doppler frequency offset estimation algorithm;
the Doppler frequency offset estimation algorithm adopted by selecting Doppler frequency offset estimation at least according to the cell frequency point of the resident cell comprises the following steps: if the cell frequency point of the resident cell is in a connection state and is greater than a preset threshold, judging whether the number of the virtual reference signals reaches a preset number, or if the cell frequency point of the resident cell is in a connection state and is greater than the preset threshold, enabling the Doppler correlation estimation, and at least when 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 the preset number;
and if the number of the virtual reference signals reaches the preset number, selecting the Doppler correlation estimation algorithm.
2. The doppler frequency offset estimation method according to claim 1, further comprising:
and outputting the result of the Doppler frequency offset estimation for channel estimation.
3. The doppler frequency offset estimation method according to claim 1, wherein said 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 a 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.
4. The doppler frequency offset estimation method according to claim 1, further comprising:
and if the number of the virtual reference signals does not reach the preset number, selecting the Doppler fitting estimation.
5. A doppler frequency offset estimation apparatus, 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 mobile terminal is positioned in a network covering a high-speed route according to the high-speed moving scene indication information;
the Doppler frequency offset estimation algorithm selection module is suitable for selecting a Doppler frequency offset estimation algorithm adopted by Doppler frequency offset estimation at least according to the cell frequency point of a resident cell or the output result of Doppler related estimation, and the Doppler frequency offset estimation algorithm is selected from the Doppler related estimation and the Doppler fitting estimation;
the Doppler frequency offset estimation module is suitable for performing Doppler frequency offset estimation by using a selected Doppler frequency offset estimation algorithm;
the Doppler frequency offset estimation algorithm selection module is further used for judging whether the number of virtual reference signals reaches a preset number when the cell frequency point of the resident cell is in a connected state and is greater than a preset threshold, or enabling the Doppler related estimation when the cell frequency point of the resident cell is in the connected state and is greater than the preset threshold, and determining whether the number of the virtual reference signals reaches the preset number at least when the output result of the Doppler related estimation is smaller than a first preset gear;
and if the number of the virtual reference signals reaches the preset number, selecting the Doppler correlation estimation algorithm.
6. A storage medium having stored thereon computer instructions, which when executed by a processor, perform the steps of the doppler frequency offset estimation method of any one of claims 1 to 4.
7. 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 frequency offset estimation method according to any one of claims 1 to 4.
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