WO2022127476A1

WO2022127476A1 - Harmonic elimination method and apparatus, storage medium, and terminal

Info

Publication number: WO2022127476A1
Application number: PCT/CN2021/130950
Authority: WO
Inventors: 王致远
Original assignee: 展讯通信（上海）有限公司
Priority date: 2020-12-14
Filing date: 2021-11-16
Publication date: 2022-06-23
Also published as: CN112235002B; CN112235002A

Abstract

A harmonic elimination method and apparatus, a storage medium, and a terminal. The harmonic elimination method comprises: determining an initial frequency point of a current search period, and determining, according to a preset search interval, a preset number of current frequency points to be searched for, said frequency points comprising the initial frequency point; determining, according to the correlation between a current input data block and each current frequency point to be searched for, a harmonic component of the current input data block; estimating a harmonic correlation value of the harmonic component of the current input data block and the harmonic component of the next input data block according to at least the harmonic component of the current input data block; and performing harmonic elimination on the next input data block according to the harmonic correlation value and the harmonic component of the current input data block. According to the technical solution of the present invention, harmonic interference of a receiver can be eliminated without affecting system stability.

Description

Harmonic elimination method and device, storage medium and terminal

This application claims the priority of the Chinese patent application filed on December 14, 2020 with the application number 202011461607.1 and the invention titled "harmonic elimination method and device, storage medium, terminal", the entire contents of which are incorporated by reference in in this application.

technical field

The present invention relates to the field of communication technologies, and in particular, to a method and device for eliminating harmonics, a storage medium and a terminal.

Background technique

In the fifth-generation mobile communication, the receiver works on some specific frequency points, and the harmonic components of the clock signal of some system modules on the mainboard of the mobile phone will be coupled into the receiver, resulting in the receiver being in a weak field. Sensitivity will be severely affected, which may lead to dropped calls or reduced call signal quality.

At present, the main solution to eliminate harmonic interference is to deal with the interference source. There are three existing mainstream solutions: Option 1: Find the source of clock interference and reduce the clock amplitude, thereby reducing the harmonic components of the clock; Option 2: Find the source of clock interference and add an analog filter, such as a low-pass filter, to the clock to attenuate High frequency components, reduce the clock harmonic components; Scheme 3: find the source of clock interference, change the frequency of the clock, thereby changing the frequency of the clock harmonics, and the clock harmonic components avoid the receiving frequency of the receiver.

However, the reduction of the clock amplitude in the first solution will reduce the system stability; the second solution needs to increase the hardware cost, and it is often limited by the area, which is difficult to increase. If it is interference caused by spatial coupling, even if the filter is added, the interference cannot be effectively suppressed; Scheme 3 The clock frequency is often fixed and cannot be modified at will. In addition, even if modified, if the receiver's receiving frequency band is relatively wide, its clock harmonic interference is difficult to avoid.

SUMMARY OF THE INVENTION

The technical problem solved by the present invention is how to realize the elimination of the harmonic interference of the receiver without affecting the stability of the system.

In order to solve the above technical problem, an embodiment of the present invention provides a harmonic elimination method. The harmonic elimination method includes: determining an initial frequency point of a current search period, and determining a preset number of currently to-be-searched frequency points according to a preset search interval, The current frequency point to be searched includes the initial frequency point; the harmonic component of the current input data block is determined according to the correlation between the current input data block and each current frequency point to be searched; at least according to the current input data block The harmonic component estimates the harmonic correlation value of the harmonic component of the current input data block and the harmonic component of the next input data block; according to the harmonic correlation value and the harmonic component of the current input data block Harmonic cancellation is performed on the next block of input data described above.

Optionally, after determining the harmonic component of the current input data block according to the correlation between the current input data block and each current frequency point to be searched, the method further includes: determining the next harmonic component by using the harmonic component of the current input data block. The initial frequency points of the search period are searched, and a preset number of next frequency points to be searched are determined according to a preset search interval, and the next frequency points to be searched include the initial frequency points of the next search period. The search frequency points are used to calculate the harmonic components of the next input data block.

Optionally, the determining the initial frequency point of the next search period by using the harmonic component of the current input data block includes: if the sum of the initial frequency point of the current search period and a preset value is less than the current input data If the initial frequency of the current search period is increased by the preset search interval, it is used as the initial frequency of the next search period; if the initial frequency of the current search period is the same as the preset frequency If the sum of the set values is greater than the harmonic component of the current input data block, the initial frequency point of the current search period is reduced by the preset search interval to serve as the initial frequency point of the next search period.

Optionally, the following formula is used to calculate the preset value: (SearchNum/2)×F_search_step, where SearchNum is the preset number, and F_search_step is the preset search interval for searching.

Optionally, the determining the harmonic component of the current input data block according to the correlation between the current input data block and each currently to-be-searched frequency point includes: calculating the search correlation value of the current input data block and each currently to-be-searched frequency point. ; determine the current to-be-searched frequency point corresponding to the search correlation value greater than the preset threshold as the harmonic component of the input data block of the current cycle.

Optionally, performing harmonic elimination on the next input data block according to the harmonic correlation value and the harmonic component of the current input data block includes: calculating the harmonic correlation value and the current input data block. The product of the harmonic components of the data blocks; the difference between the next input data block and the product is calculated as the data block after harmonic elimination.

Optionally, the determining the initial frequency point of the current search period includes: if the current search period is the first search period, determining that the initial frequency point of the current search period is a preset initial frequency point; If the search period is not the first search period, the harmonic component of the previous input data block is used to determine the initial frequency point of the current search period.

Optionally, the preset initial frequency point is obtained by performing harmonic component testing on multiple input data blocks.

Optionally, use the following formula to calculate the harmonic correlation value:

Among them, Correlation(m-1) represents the harmonic correlation value between the m-1th input data block and the mth input data block, N represents the number of chips or symbols, and Input(m-1) represents the m-th 1 input data block, F_init represents the initial frequency point, and F_search_step represents the preset search interval.

Optionally, the search period of the harmonic component is less than or equal to the data period of the input data block.

In order to solve the above technical problem, the embodiment of the present invention also discloses a harmonic elimination device. The harmonic elimination device includes: an initial frequency point determination module, which is used to determine the initial frequency point of the current search period, and determine the initial frequency point according to a preset search interval. A preset number of currently to-be-searched frequency points, the current to-be-searched frequency points including the initial frequency point; a harmonic component estimation module for determining the Harmonic components of the current input data block; a harmonic correlation value calculation module, configured to estimate the harmonic components of the current input data block and the harmonic components of the next input data block at least according to the harmonic components of the current input data block a harmonic correlation value of the component; a harmonic elimination module configured to perform harmonic elimination on the next input data block according to the harmonic correlation value and the harmonic component of the current input data block.

The embodiment of the present invention also discloses a storage medium on which a computer program is stored, and the computer program executes the steps of the harmonic elimination method when the computer program is run by a processor.

An embodiment of the present invention further discloses a terminal, including a memory and a processor, the memory stores a computer program that can be run on the processor, and the processor executes the harmonic when running the computer program Steps of the elimination method.

Compared with the prior art, the technical solutions of the embodiments of the present invention have the following beneficial effects:

The technical scheme of the present invention can accurately estimate the harmonic components in the input data block by calculating the correlation between the frequency point to be searched and the input data block; at the same time, when determining the frequency point to be searched in the current data cycle, the initial frequency point is based on The harmonic components of the previous input data block are updated in real time, and the frequency and energy of clock harmonics can be dynamically tracked and estimated; and then based on the harmonic correlation value and the harmonic components of the current input data block, the next Harmonic elimination is performed on the input data block, which greatly improves the quality of the call signal and reduces the probability of dropped calls.

Description of drawings

1 is a flowchart of a method for eliminating harmonics according to an embodiment of the present invention;

2 is a schematic diagram of a specific application scenario of an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of a harmonic elimination device according to an embodiment of the present invention.

Detailed ways

As mentioned in the Background Art, the reduction of the clock amplitude in the first solution will result in a decrease in system stability; the second solution requires an increase in hardware cost, which is often limited by the area and is difficult to increase. If it is interference caused by spatial coupling, even if the filter is added, the The interference cannot be effectively suppressed; the clock frequency of scheme 3 is often fixed and cannot be modified at will. In addition, even if the modification is made, if the receiving frequency band of the receiver is relatively wide, its clock harmonic interference is difficult to avoid.

Compared with the modification of the clock signal that generates interference in the prior art, and the modification of the clock signal will lead to unstable performance of the system module using the clock signal, the technical solution of the present invention will not affect the clock signal that generates interference, that is, It will not affect the performance stability of the system module.

The technical solution of the present invention can be applied to traditional mobile communication systems, such as Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (Long Term Evolution, LTE) systems, and can also be used in New Radio (New Radio, NR) systems ) system, such as 5th generation mobile networks or 5th generation wireless systems (5G), or a newer communication system, which is not limited in this embodiment of the present invention.

In order to make the above objects, features and advantages of the present invention more clearly understood, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

FIG. 1 is a flowchart of a harmonic elimination method according to an embodiment of the present invention.

The harmonic elimination method shown in FIG. 1 can be used on the terminal device side, and specifically, it can be a terminal device equipped with a receiver. The method shown in Figure 1 can perform harmonic elimination on the received signal of the receiver, so as to improve the signal-to-noise ratio of the received signal and improve the signal quality.

Specifically, the harmonic elimination method shown in FIG. 1 may include the following steps:

Step S101: Determine the initial frequency points of the current search period, and determine a preset number of current frequency points to be searched according to a preset search interval, and the current frequency points to be searched include the initial frequency points;

Step S102: Determine the harmonic component of the current input data block according to the correlation between the current input data block and each current frequency point to be searched;

Step S103: Estimate the harmonic correlation value of the harmonic component of the current input data block and the harmonic component of the next input data block according to at least the harmonic component of the current input data block;

Step S104: Perform harmonic elimination on the next input data block according to the harmonic correlation value and the harmonic components of the current input data block.

It should be noted that the sequence numbers of the steps in this embodiment do not represent limitations on the execution order of the steps.

In this embodiment, the input data block refers to the data block received by the receiver, the input data block is periodic data, and the transmission period thereof is called the data period.

It can be understood that, in a specific implementation, the harmonic elimination method may be implemented by a software program, and the software program runs in a processor integrated in a chip or a chip module. The method can also be implemented by combining software with hardware, which is not limited in this application.

In the specific implementation of step S101 and step S102, harmonic estimation is performed on the current input data block, that is, the size of the harmonic component of the current input data block is estimated. In order to accurately estimate the size of the harmonic components, first determine a plurality of frequency points to be searched, specifically take the initial frequency point as the center/start frequency point/end frequency point/any intermediate frequency point, and select them according to the preset search interval ; Calculate the correlation between the current input data block and each current frequency to be searched. The higher the correlation between the input data block and the frequency point to be searched, means that the balance of the input data block and the frequency point to be searched is close, so that the frequency point to be searched closest to the input data block can be determined according to the size of the correlation as the current input Harmonic components of the data block.

It should be noted that, any executable algorithm in the prior art may be used to calculate the correlation, which is not limited in this embodiment of the present invention.

In a non-limiting example, the initial frequency point is 2140MHz, with the initial frequency point as the center, the preset search interval is 5MHz, and the preset number is 13, then the frequency points to be searched are 2110, 2115, 2120, and 2125 respectively. , 2130, 2135, 2140, 2145, 2150, 2155, 2160, 2165, 2170 (in MHz).

It can be understood that the specific values of the preset search interval and the preset number can be set according to the requirements of the actual application scenario. For example, the smaller the preset search interval and the greater the preset number, the higher the estimation accuracy. The computational complexity also increases accordingly, which is not limited in this embodiment of the present invention.

In the specific implementation of step S103 and step S104, harmonic elimination of the next input data block is realized. Since the harmonics are relatively stable and do not change suddenly, it is difficult to estimate and eliminate the harmonics in the next cycle in real time. Therefore, in the embodiment of the present invention, the harmonic components of the current input data block are used for the harmonic components of the current input data block. A block of input data for harmonic cancellation.

Specifically, Output(m)=Input(m)-Correlation(m-1)×ref_value(m-1), where Output(m) is the output of the mth data block after harmonic elimination, Input( m) is the mth input data block, Correlation(m-1) is the correlation value between the harmonic components of the m-1th data block and the harmonic components of the mth data block, ref_value(m-1) is the Harmonic components of m-1 data blocks.

Specifically, the harmonic correlation value represents the degree of similarity between the harmonic components of the current input data block and the harmonic components of the next input data block. The harmonic correlation value between the harmonic components of the current input data block and the harmonic components of the next input data block can be estimated based on the harmonic components of the current input data block. The initial frequency point of the data block and the preset search interval are estimated.

In a non-limiting example, the harmonic correlation value can be calculated using the following formula:

Among them, N represents the number of chips in the communication system (such as the number of chips in WCDMA) or the number of symbols (such as the number of symbols in LTE/NR), Input(m-1) represents the m-1th input data block, F_init represents the initial frequency point, and F_search_step represents the preset search interval.

Specifically, N is the number of chips or symbols depending on the communication system used by the terminal. If the communication system used by the terminal is WCDMA, N is the number of chips; if the terminal uses a 4G/5G communication system, Since it belongs to LTE/NR, and its modulation method is Orthogonal Frequency Division Multiplexing (OFDM), N is the number of symbols.

The technical scheme of the present invention avoids additional processing of the source of the clock signal, and only needs to complete the estimation, dynamic tracking and elimination of harmonics through the software-controlled digital baseband, thereby reducing the system risk and effectively improving the sensitivity performance.

In a non-limiting embodiment, harmonic estimation may be performed on the next input data block, that is, the magnitude of the harmonic components of the next input data block may be estimated. The specific calculation method is similar to the previous steps, that is, firstly determine a plurality of frequency points to be searched, and specifically select the initial frequency point as the center/start frequency point/end frequency point/any intermediate frequency point according to the preset search interval ; Calculate the correlation between the next input data block and each next frequency to be searched. The higher the correlation between the input data block and the frequency to be searched, means that the balance of the input data block and the frequency to be searched is close. Harmonic components of the input data block.

Wherein, when determining the next frequency to be searched, the initial frequency of the next search period and the initial frequency of the current search period may be the same or different. Specifically, the initial frequency point of the next search period may be determined according to the relative position of the harmonic component of the current input data block and the initial frequency point of the current search period.

Specifically, if the sum of the initial frequency point of the current search period and the preset value is less than the harmonic component of the current input data block, the initial frequency point of the current search period is increased by the preset search interval; otherwise, the current search period The difference between the initial frequency point of the current search period and the preset value is greater than the harmonic component of the current input data block, then the initial frequency point of the current search period is reduced by the preset search interval, as the initial frequency point of the next search period. Frequency.

In a non-limiting example, the preset value may be (SearchNum/2)×F_search_step, where SearchNum is a preset number and F_search_step is a preset search interval.

By updating the initial frequency point used for harmonic estimation in each data period, the dynamic tracking of the harmonic frequency point can be realized, and the accuracy of the harmonic estimation can be achieved.

In a non-limiting embodiment, step S102 shown in FIG. 1 may include the following steps: calculating the search correlation value between the current input data block and each current frequency to be searched; determining that the search correlation value greater than a preset threshold corresponds to The current frequency point to be searched is taken as the harmonic component of the input data block of the current cycle.

As mentioned above, the higher the correlation between the input data block and the frequency to be searched, means that the balance between the input data block and the frequency to be searched is close. Therefore, in this embodiment, the current frequency to be searched corresponding to the maximum value of the search correlation value is selected as The harmonic components of the input data block for the current period.

In a non-limiting embodiment, step S104 shown in FIG. 1 may include the following steps: calculating the product of the harmonic correlation value and the harmonic component of the current input data block; calculating the next input data block The difference with the product is used as the data block after harmonic cancellation.

The harmonic correlation value represents the similarity between the current input data block and the next input data block. On this basis, the harmonic components of the current input data block can be used to eliminate the harmonics of the next input data block. The wave components are simply removed from the input data block.

In a non-limiting embodiment, step S101 shown in FIG. 1 may include the following steps: if the current search period is the first search period, determining that the initial frequency point of the current search period is a preset initial frequency point ; If the current search period is not the first search period, use the harmonic component of the last input data block to determine the initial frequency point of the current search period.

The initial frequency used for each search cycle is dynamically updated. Specifically, it is determined according to the harmonic components calculated in the previous search period. If there is no previous search period, it is directly determined as the preset initial frequency point.

When the initial frequency point of the current search period is determined according to the harmonic components calculated in the previous search period, if the sum of the initial frequency point of the previous search period and the preset value is less than the harmonic component, the initial frequency point of the previous search period is increased. The frequency point is used as the initial frequency point of the current search period; on the contrary, if the sum of the initial frequency point of the previous search period and the preset value is greater than the harmonic component, the initial frequency point of the previous search period is reduced as the current search period. initial frequency.

Further, the preset initial frequency point is obtained by performing harmonic component testing on a plurality of input data blocks.

In this embodiment, the interference harmonic component generated by the clock signal to the input data block is usually stable, so a frequency point for determining the harmonic component can be obtained by testing multiple input data blocks in advance, as a preset initial Frequency.

In a non-limiting embodiment, the search period of the harmonic component is less than or equal to the data period of the input data block.

In a specific application scenario, the update process of the initial frequency point is described with reference to a specific example. Taking Wideband Code Division Multiple Access (WCDMA) as an example, the downlink frequency range of broadband is 2110M-2170MHz.

1. Set the preset initial initial frequency point Finit=2140MHz, and search for frequency points within the range of 10M, that is, the search frequency range is 2139M-2149M.

2. Search for harmonics (spur) with 100KHz as the preset search interval, that is, F_search_step=100KHz.

3. The moving interval F_step=100KHz.

4. A total of SearchNum=(2145M-2135M)/0.1M=100 frequency points are searched.

5. If the position of the harmonic is at 2145.1M, calculate F_init+(SearchNum/2)×F_search_step=2140+(100/2)*0.1=2140+5=2145M; F_init+(SearchNum/2)×F_search_step<Ftone, that is, 2145M <2145.1M.

6. Update the initial frequency point F_init=F_init+F_step=2140+0.1M=2140.1M, and continue the iteration.

7. If the harmonic position is at 2139.9M, calculate F_init+(SearchNum/2)×F_search_step=2140.1+(100/2)*0.1=2140+5=2145.1M, F_init+(SearchNum/2)×F_search_step>Ftone, that is 2145.1M>2139.9M.

8. Update the initial frequency point F_init=F_init-F_step=2140.1-0.1M=2140M, and continue the iteration.

In another specific application scenario, please refer to FIG. 2 , perform harmonic estimation on the m-1 th data block, and obtain the harmonic reference value of the m-1 th data block. Harmonic cancellation is performed on the mth data block using the harmonic reference value of the m-1th data block.

By analogy, harmonic estimation is performed on the mth data block to obtain the harmonic reference value of the mth data block. Harmonic cancellation is performed on the m+1th data block using the harmonic reference value of the mth data block.

For specific implementations of harmonic estimation and harmonic elimination, reference may be made to the foregoing embodiments, which will not be repeated here.

FIG. 3 is a schematic structural diagram of a harmonic elimination device according to an embodiment of the present invention. Harmonic cancellation device 30 may include:

The initial frequency point determination module 301 is configured to determine the initial frequency point of the current search period, and determine a preset number of current frequency points to be searched according to a preset search interval, and the current frequency points to be searched include the initial frequency points;

a harmonic component estimation module 302, configured to determine the harmonic component of the current input data block according to the correlation between the current input data block and each current frequency to be searched;

a harmonic correlation value calculation module 303, configured to estimate a harmonic correlation value between the harmonic components of the current input data block and the harmonic components of the next input data block according to at least the harmonic components of the current input data block;

A harmonic elimination module 304, configured to perform harmonic elimination on the next input data block according to the harmonic correlation value and the harmonic components of the current input data block.

The embodiment of the present invention can accurately estimate the harmonic components in the input data block by calculating the correlation between the frequency to be searched and the input data block; at the same time, when determining the frequency to be searched in the current data cycle, the initial frequency is based on The harmonic components of the previous input data block are updated in real time, and the frequency and energy of clock harmonics can be dynamically tracked and estimated; and then based on the harmonic correlation value and the harmonic components of the current input data block, the next Harmonic elimination is performed on the input data block, which greatly improves the quality of the call signal and reduces the probability of dropped calls.

For more details on the working principle and working mode of the harmonic elimination device 30, reference may be made to the relevant descriptions in FIG. 1 to FIG. 2, which will not be repeated here.

In a specific implementation, the above harmonic elimination device may correspond to a chip with a harmonic elimination function in the terminal device, such as an SOC (System-On-a-Chip, system on chip), a baseband chip, etc.; A chip module with harmonic elimination function; or a chip module with a data processing function chip, or a terminal device.

Regarding each module/unit included in each device and product described in the above-mentioned embodiments, it may be a software module/unit, a hardware module/unit, or a part of a software module/unit and a part of a hardware module/unit . For example, for each device or product applied to or integrated in a chip, each module/unit included therein may be implemented by hardware such as circuits, or at least some of the modules/units may be implemented by a software program. Running on the processor integrated inside the chip, the remaining (if any) part of the modules/units can be implemented by hardware such as circuits; for each device and product applied to or integrated in the chip module, the modules/units contained therein can be They are all implemented by hardware such as circuits, and different modules/units can be located in the same component of the chip module (such as chips, circuit modules, etc.) or in different components, or at least some of the modules/units can be implemented by software programs. The software program runs on the processor integrated inside the chip module, and the remaining (if any) part of the modules/units can be implemented by hardware such as circuits; for each device and product applied to or integrated in the terminal, each module contained in it The units/units may all be implemented in hardware such as circuits, and different modules/units may be located in the same component (eg, chip, circuit module, etc.) or in different components in the terminal, or at least some of the modules/units may be implemented by software programs Realization, the software program runs on the processor integrated inside the terminal, and the remaining (if any) part of the modules/units can be implemented in hardware such as circuits.

An embodiment of the present invention also discloses a storage medium, which is a computer-readable storage medium, and stores a computer program thereon. When the computer program runs, the steps of the harmonic elimination method shown in FIG. 1 can be executed. . The storage medium may include ROM, RAM, magnetic or optical disks, and the like. The storage medium may also include a non-volatile memory (non-volatile) or a non-transitory (non-transitory) memory and the like.

An embodiment of the present invention further discloses a terminal, where the terminal may include a memory and a processor, and the memory stores a computer program that can run on the processor. The processor may execute the steps of the harmonic elimination method shown in FIG. 1 when the computer program is executed. The terminals include but are not limited to terminal devices such as mobile phones, computers, and tablet computers.

It should be understood that the above-mentioned processor can be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), an off-the-shelf programmable gate array (field programmable gate array, FPGA) Or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and can also be a system on chip (SoC), a central processor unit (CPU), or a network processing unit It can be a network processor (NP), a digital signal processing circuit (DSP), a microcontroller (MCU), or a programmable logic device (PLD). ) or other integrated chips. The methods, steps, and logic block diagrams disclosed in the embodiments of this application can be implemented or executed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in conjunction with the embodiments of the present application may be directly embodied as executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software module may be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other storage media mature in the art. The storage medium is located in the memory, and the processor reads the information in the memory, and completes the steps of the above method in combination with its hardware.

It should also be understood that the memory mentioned in the embodiments of the present invention may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically programmable Erase programmable read-only memory (electrically EPROM, EEPROM) or flash memory. Volatile memory may be random access memory (RAM), which acts as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (synchlink DRAM, SLDRAM) ) and direct memory bus random access memory (direct rambus RAM, DR RAM). It should be noted that the memory of the systems and methods described herein is intended to include, but not be limited to, these and any other suitable types of memory.

It should be noted that when the processor is a general-purpose processor, DSP, ASIC, FPGA or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components, the memory (storage module) is integrated in the processor. It should be noted that the memory described herein is intended to include, but not be limited to, these and any other suitable types of memory.

Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

The functions, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk and other media that can store program codes .

Although the present invention is disclosed above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention should be based on the scope defined by the claims.

Claims

A method for eliminating harmonics, comprising:

determining an initial frequency point of the current search period, and determining a preset number of currently to-be-searched frequency points according to a preset search interval, where the current to-be-searched frequency point includes the initial frequency point;

Determine the harmonic component of the current input data block according to the correlation between the current input data block and each current frequency point to be searched;

estimating a harmonic correlation value of the harmonic component of the current input data block and the harmonic component of the next input data block according to at least the harmonic component of the current input data block;

Harmonic cancellation is performed on the next input data block based on the harmonic correlation value and the harmonic components of the current input data block.
The harmonic elimination method according to claim 1, wherein after determining the harmonic division of the current input data block according to the correlation between the current input data block and each current frequency point to be searched, the method further comprises:

The initial frequency point of the next search period is determined by using the harmonic component of the current input data block, and a preset number of next frequency points to be searched are determined according to a preset search interval, and the next frequency points to be searched include the The initial frequency point of the next search period, the next frequency point to be searched is used to calculate the harmonic component of the next input data block.
The harmonic elimination method according to claim 2, wherein the determining the initial frequency point of the next search period by using the harmonic components of the current input data block comprises:

If the sum of the initial frequency point of the current search period and the preset value is less than the harmonic component of the current input data block, the initial frequency point of the current search period is increased by the preset search interval, as the Describe the initial frequency point of the next search period;

If the sum of the initial frequency point of the current search period and the preset value is greater than the harmonic component of the current input data block, the initial frequency point of the current search period is reduced by the preset search interval, as The initial frequency point of the next search period.
The harmonic elimination method according to claim 3, wherein the preset value is calculated by the following formula: (SearchNum/2)×F_search_step, wherein SearchNum is the preset number, and F_search_step is the search preset search interval.
The harmonic elimination method according to claim 1, wherein the determining the harmonic component of the current input data block according to the correlation between the current input data block and each current frequency point to be searched comprises:

Calculate the search correlation value between the current input data block and each current frequency to be searched;

The current frequency to be searched corresponding to the search correlation value greater than the preset threshold is determined as the harmonic component of the input data block of the current cycle.
The harmonic elimination method according to claim 1, wherein the performing harmonic elimination on the next input data block according to the harmonic correlation value and the harmonic component of the current input data block comprises:

calculating the product of the harmonic correlation value and the harmonic component of the current input data block;

The difference between the next input data block and the product is calculated as a harmonic-eliminated data block.
The harmonic elimination method according to claim 1, wherein the determining the initial frequency point of the current search period comprises:

If the current search period is the first search period, then determine that the initial frequency point of the current search period is a preset initial frequency point;

If the current search period is not the first search period, the initial frequency point of the current search period is determined by using the harmonic components of the previous input data block.
The harmonic elimination method according to claim 7, wherein the preset initial frequency point is obtained by performing harmonic component testing on a plurality of input data blocks.
The harmonic elimination method according to claim 1, wherein the harmonic correlation value is calculated by the following formula:

; where Correlation(m-1) represents the harmonic correlation value between the m-1th input data block and the mth input data block, N represents the number of chips or symbols, and Input(m-1) represents the mth -1 input data block, F_init represents the initial frequency point, and F_search_step represents the preset search interval.
The harmonic elimination method according to claim 1, wherein the search period of the harmonic components is less than or equal to the data period of the input data block.
A device for eliminating harmonics, comprising:

an initial frequency point determination module, configured to determine the initial frequency point of the current search period, and determine a preset number of currently to-be-searched frequency points according to a preset search interval, and the current to-be-searched frequency points include the initial frequency point;

a harmonic component estimation module, configured to determine the harmonic component of the current input data block according to the correlation between the current input data block and each current frequency point to be searched;

a harmonic correlation value calculation module for estimating a harmonic correlation value between the harmonic components of the current input data block and the harmonic components of the next input data block according to at least the harmonic components of the current input data block;

A harmonic elimination module, configured to perform harmonic elimination on the next input data block according to the harmonic correlation value and the harmonic components of the current input data block.
A storage medium having a computer program stored thereon, characterized in that, when the computer program is run by a processor, the steps of the harmonic elimination method according to any one of claims 1 to 10 are executed.
A terminal, comprising a memory and a processor, the memory stores a computer program that can be run on the processor, wherein the processor executes any one of claims 1 to 10 when the processor runs the computer program. A step of the harmonic cancellation method.