CN116436739B - Channel estimation method, device, equipment and readable storage medium - Google Patents
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- H—ELECTRICITY
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- H04L25/0202—Channel estimation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
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- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The application relates to the technical field of channel estimation of an OFDM system, and provides a channel estimation method, a device, equipment and a readable storage medium, wherein the method comprises the steps of obtaining frequency domain sequence information; performing 2N-point inverse Fourier transform on the frequency domain sequence information to obtain first time domain sequence information; performing time domain processing on the first time domain sequence information to obtain second time domain sequence information, wherein the second time domain sequence information is time domain sequence information corresponding to the next iteration of the first time domain sequence information; the channel is estimated according to the second time domain sequence information, and the time domain sequence generated by the method has the capability of resisting ISI and ICI under the condition of under CP by performing time domain processing on the random generated sequence, so that the gain effect of the channel estimation performance can be effectively improved.
Description
Technical Field
The present application relates to the field of channel estimation technologies of OFDM systems, and in particular, to a channel estimation method, apparatus, device, and readable storage medium.
Background
OFDM systems are widely used in standards such as 4G, 5G, and 802.11ax by virtue of their good communication performance. The Cyclic Prefix (CP) is an important component in OFDM, and its main purpose is: the effects of inter-symbol interference (ISI) and inter-carrier interference (ICI) are suppressed and their length is typically set based on channel statistics, i.e., the CP length is set to be greater than the maximum multipath delay. However, for the communication device, it cannot be guaranteed that the maximum multipath delay of the channel in which each communication process is performed is smaller than the CP length, which is called an under-CP OFDM communication situation. Because of the occurrence of ISI and ICI, the OFDM communication quality in the under-CP situation is poor, and the communication rate is low, which is one of the key problems to be solved in the outdoor wireless communication scenario and the near-earth satellite communication scenario at present, so that a channel estimation method is needed to realize the channel estimation in the under-CP OFDM communication situation.
Disclosure of Invention
An object of the present application is to provide a channel estimation method, apparatus, device and readable storage medium, to improve the above problems.
In order to achieve the above object, the embodiment of the present application provides the following technical solutions:
in one aspect, an embodiment of the present application provides a channel estimation method, where the method includes:
acquiring frequency domain sequence information;
performing 2N-point inverse Fourier transform on the frequency domain sequence information to obtain first time domain sequence information;
performing time domain processing on the first time domain sequence information to obtain second time domain sequence information, wherein the second time domain sequence information is time domain sequence information corresponding to the next iteration of the first time domain sequence information;
and estimating a channel according to the second time domain sequence information.
In a second aspect, an embodiment of the present application provides a channel estimation apparatus, including:
the acquisition module is used for acquiring the frequency domain sequence information;
the first processing module is used for carrying out 2N-point inverse Fourier transform on the frequency domain sequence information to obtain first time domain sequence information;
the second processing module is used for performing time domain processing on the first time domain sequence information to obtain second time domain sequence information, wherein the second time domain sequence information is time domain sequence information corresponding to the next iteration of the first time domain sequence information;
and the estimation module is used for estimating the channel according to the second time domain sequence information.
In a third aspect, an embodiment of the present application provides a channel estimation apparatus, where the apparatus includes a memory and a processor. The memory is used for storing a computer program; the processor is configured to implement the steps of the above-described channel estimation method when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described channel estimation method.
The beneficial effects of the application are as follows:
the application obtains the first time domain sequence information by carrying out the inverse Fourier transform on the frequency domain sequence information, then carries out the time domain processing on the first time domain sequence information to obtain the second time domain sequence information, and then estimates the channel based on the second time domain sequence information.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a channel estimation method according to an embodiment of the present application.
Fig. 2 is a schematic diagram of a channel estimation device according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a channel estimation device according to an embodiment of the present application.
Fig. 4 is a schematic diagram illustrating comparison of channel estimation performance between a time domain sequence and a random time domain sequence according to an embodiment of the present application.
Fig. 5 is a schematic diagram illustrating PAPR comparison between a time domain sequence and a random time domain sequence according to an embodiment of the present application.
The drawing is marked: 901. an acquisition module; 902. a first processing module; 903. a second processing module; 904. an estimation module; 9031. a first acquisition unit; 9032. a first processing unit; 9033. a second processing unit; 9034. a third processing unit; 9041. an eighth processing unit; 9042. a ninth processing unit; 9043. a judging unit; 90321. a second acquisition unit; 90322. a fourth processing unit; 90323. a fifth processing unit; 90324. a sixth processing unit; 90325. a seventh processing unit; 90431. a transmission unit; 90432. a tenth processing unit; 90433. an eleventh processing unit; 90434. an estimation unit; 904331, a third acquisition unit; 904332, twelfth processing unit; 904333, thirteenth processing unit; 800. a channel estimation device; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Example 1:
the present embodiment provides a channel estimation method, and it can be understood that a scene, for example, a scene that needs to perform channel estimation on an OFDM system, may be laid in the present embodiment.
Referring to fig. 1, the method includes a step S1, a step S2, a step S3 and a step S4, wherein the method specifically includes:
s1, acquiring frequency domain sequence information;
it can be appreciated that the initial random frequency domain sequence is generated by using the Matlab random stream to obtain the frequency domain sequence information.
S2, performing 2N-point inverse Fourier transform on the frequency domain sequence information to obtain first time domain sequence information;
it can be understood that, because the number of the inverse fourier transform points is too high, the method can bring higher algorithm complexity, so that the 2N points are adopted to carry out inverse fourier transform on the frequency domain sequence information, and the 2N points are adopted to carry out inverse fourier transform on the frequency domain sequence information, so that the PAPR of the corresponding time domain sequence can be effectively controlled.
Step S3, performing time domain processing on the first time domain sequence information to obtain second time domain sequence information, wherein the second time domain sequence information is time domain sequence information corresponding to the next iteration of the first time domain sequence information;
it can be understood that the step S3 further includes a step S31, a step S32, a step S33, and a step S34, where specific steps are:
s31, acquiring a preset peak-to-average ratio weight parameter;
step S32, performing first time domain processing on the first time domain sequence information to obtain third time domain sequence information, wherein the first time domain processing comprises segmentation processing on the first time domain sequence information;
it can be understood that the step S32 further includes a step S321, a step S322, a step S323, a step S324, and a step S325, where specifically:
step S321, acquiring the length information of a cyclic prefix and the length information of the maximum multipath time delay;
step S322, subtracting the length information of the maximum multipath time delay from the length information of the cyclic prefix to obtain length information;
step S323, determining a first segmentation point according to the length information, and determining a second segmentation point according to the length information of the maximum multipath time delay;
step S324, the first time domain information in the first time domain sequence information to the first segmentation point are marked as a first segmentation sequence, and the second segmentation point to the last time domain information in the first time domain sequence information are marked as a second segmentation sequence;
and step S325, setting 0 to the even number sequence in the first segment sequence and the second segment sequence to obtain third time domain sequence information.
In this embodiment, the specific process of performing the first time domain processing on the first time domain sequence information is:
in the above-mentioned method, the step of,for even sequences in the first time domain sequence information, < > and->For the odd number sequence in the first time domain sequence information, M is the length information, namely the length of the underCP, N is the number of subcarriers in the first time domain sequence, & lt/EN & gt>For the length information of the maximum multipath delay, the pair of the above formulas is adopted>The time domain sequence information of the points is segmented: front M points (under CP length) and back +.>The even number sequence in the point of (the maximum multipath delay) is set to 0, and the rest intermediate points are unchanged; all points in the odd number position are unchanged, and the first time domain sequence information is subjected to first time domain processing, so that the first time domain sequence has the capability of resisting ISI and ICI under the condition of underCP, and the gain effect of the channel estimation performance can be effectively improved.
Step S33, performing unitary modeling on the first time domain sequence information to obtain fourth time domain sequence information;
it can be understood that the specific process of performing the unitary processing on the first time domain sequence information is:
in the above-mentioned method, the step of,representing imaginary units, ++>Representing the phase function, i.e. the phase value of the range argument,represents an exponential function based on e, +.>Representing the first time domain sequence information, the fourth time domain sequence information can have lower PAPR by carrying out unitary processing on the first time domain sequence, as shown in FIG. 5, FIG. 5 is a comparison schematic diagram of the PAPR of the time domain sequence after the time domain processing and the random time domain sequence, the beneficial effect of the PAPR of the sequence provided by the application is about 5dB, and the signal with low PAPR can be prevented from entering a nonlinear region when passing through a power amplifier, thereby reducing the signal distortion degree and guaranteeing the reliability of information transmission.
And step S34, calculating according to the third time domain sequence information, the fourth time domain sequence information and the preset peak-to-average ratio weight parameter to obtain second time domain sequence information.
It can be appreciated that the second time domain sequence information is specifically:
in the above-mentioned method, the step of,for the second time domain sequence information,/o>For the third time domain sequence information,/o>For the fourth time domain sequence information, +.>For the preset weight parameter of the peak-to-average ratio, it should be noted that the weight parameter lambda of the peak-to-average ratio in the algorithm provided by the application can dynamically adjust the interference suppression capability and PAPR suppression effect of the undercp so as to adapt to the requirements of different application scenes on the frequency domain sequence. For example, the station power amplifier is weaker in the WiFi scene, but the maximum multipath time delay is not very large, and a parameter with larger lambda can be selected to ensure that the PAPR of the output frequency domain sequence is lower; in the 5G cellular network scene, the base station has stronger power amplifier, but larger maximum multipath time delay, and can select parameters with smaller lambda, and the generated frequency domain sequence is mainly used for suppressing interference.
And S4, estimating a channel according to the second time domain sequence information.
It may be understood that the step S4 further includes a step S41, a step S42, and a step S43, where specific details are:
s41, performing 2N-point Fourier forward transformation on the second time domain sequence information to obtain transformed frequency domain sequence information;
step S42, performing unitary processing on the transformed frequency domain sequence information to obtain frequency domain sequence information subjected to unitary processing;
and S43, judging whether the current iteration times meet iteration suspension conditions, wherein if so, estimating the channel according to the frequency domain sequence information after unitary processing, and if not, performing the next iteration, wherein the iteration suspension conditions are whether the current iteration times meet preset maximum iteration times.
In this embodiment, the frequency domain sequence information needs to be subjected to 2N-point fourier transform and then subjected to unitary processing in the frequency domain, so that the frequency domain sequence can be transmitted through the OFDM system, and when the iteration number meets the preset maximum iteration number, the frequency domain sequence information is transmitted through the OFDM system so as to perform channel estimation subsequently, and it is noted that the unitary processing of the frequency domain sequence information in the frequency domain is a technical scheme well known to those skilled in the art, so that the description is omitted.
It can be understood that the step S43 further includes a step S431, a step S432, a step S433 and a step S434, where specific details are:
step S431, transmitting the frequency domain sequence information subjected to the unitary processing to obtain a transmission result, wherein the transmission result is a transmission result obtained by transmitting the frequency domain sequence information subjected to the unitary processing to a receiving end by using an OFDM system, and the transmission result comprises time domain sequence information corresponding to the frequency domain sequence information subjected to the unitary processing;
it can be understood that after the frequency domain sequence information after the unitary processing is transmitted through the OFDM system, the receiving end receives the transmission result.
Step S432, performing first preprocessing on the transmission result to obtain fifth time domain sequence information, wherein the first preprocessing is used for performing cyclic prefix removal processing on the transmission result;
step S433, performing second preprocessing on the fifth time domain sequence information to obtain sixth time domain sequence information, wherein the second preprocessing is used for performing 0 setting processing on the fifth time domain sequence information;
it can be understood that the step S433 further includes a step S4331, a step S4332, and a step S4333, where specifically:
step S4331, acquiring the length information of the cyclic prefix and the length information of the maximum multipath time delay;
it can be appreciated that the length information of the cyclic prefix and the length information of the maximum multipath delay are respectively recorded asAnd->。
Step S4332, subtracting the length information of the maximum multipath time delay from the length information of the cyclic prefix to obtain the length information;
it can be understood that the specific calculation process of the length information is as follows:
in the above-mentioned method, the step of,and->The length information of the cyclic prefix and the length information of the maximum multipath delay are respectively, and M is the length information, namely the length of the underscp.
And step S4333, performing 0 setting processing on the fifth time domain sequence information according to the length information to obtain the sixth time domain sequence information.
It can be understood that, the first M bits in the fifth time domain sequence information are subjected to a 0-position operation to obtain the sixth time domain sequence information, and because the designed frequency domain sequence has the characteristic that the first M bits are 0 in the time domain, before the frequency domain channel estimation is performed, a time domain interference filtering operation can be performed to filter ISI interference caused by the last OFDM, thereby improving the gain effect of the channel estimation performance.
Step S434, estimating a channel by using the sixth time domain sequence information.
It can be understood that, as shown in fig. 4, fig. 4 is a schematic diagram showing the comparison of the PAPR of the time domain sequence after the time domain processing and the random time domain sequence according to the present application, and the channel estimation gain effect of the sequence proposed by the present application is improved by about 8dB.
Example 2:
as shown in fig. 2, the present embodiment provides a channel estimation apparatus, which includes an acquisition module 901, a first processing module 902, a second processing module 903, and an estimation module 904, where the method specifically includes:
an acquisition module 901, configured to acquire frequency domain sequence information;
a first processing module 902, configured to perform 2N-point inverse fourier transform on the frequency domain sequence information to obtain first time domain sequence information;
a second processing module 903, configured to perform time domain processing on the first time domain sequence information to obtain second time domain sequence information, where the second time domain sequence information is time domain sequence information corresponding to a next iteration of the first time domain sequence information;
an estimation module 904, configured to estimate a channel according to the second time domain sequence information.
In a specific embodiment of the disclosure, the second processing module 903 further includes a first obtaining unit 9031, a first processing unit 9032, a second processing unit 9033, and a third processing unit 9034, where specific details are:
a first obtaining unit 9031, configured to obtain a preset peak-to-average ratio weight parameter;
a first processing unit 9032, configured to perform first time domain processing on the first time domain sequence information to obtain third time domain sequence information, where the first time domain processing includes performing segmentation processing on the first time domain sequence information;
a second processing unit 9033, configured to perform a unitary processing on the first time domain sequence information to obtain fourth time domain sequence information;
and a third processing unit 9034, configured to calculate according to the third time domain sequence information, the fourth time domain sequence information, and the preset peak-to-average ratio weight parameter, to obtain second time domain sequence information.
In a specific embodiment of the disclosure, the first processing unit 9032 further includes a second obtaining unit 90321, a fourth processing unit 90322, a fifth processing unit 90323, a sixth processing unit 90324, and a seventh processing unit 90325, where specifically:
a second acquiring unit 90321, configured to acquire length information of a cyclic prefix and length information of a maximum multipath delay;
a fourth processing unit 90322, configured to subtract the length information of the maximum multipath delay from the length information of the cyclic prefix to obtain length information;
a fifth processing unit 90323, configured to determine a first segmentation point according to the length information, and determine a second segmentation point according to the length information of the maximum multipath delay;
a sixth processing unit 90324, configured to record a first time domain information from the first time domain sequence information to the first segmentation point as a first segmentation sequence, and record a second segmentation point to a last time domain information from the first time domain sequence information as a second segmentation sequence;
and a seventh processing unit 90325, configured to set 0 to the even number sequence in the first segment sequence and the second segment sequence, to obtain third time domain sequence information.
In a specific embodiment of the disclosure, the estimation module 904 further includes an eighth processing unit 9041, a ninth processing unit 9042, and a determining unit 9043, where specific details are:
an eighth processing unit 9041, configured to perform 2N-point fourier forward transform on the second time domain sequence information to obtain transformed frequency domain sequence information;
a ninth processing unit 9042, configured to perform unitary processing on the transformed frequency domain sequence information, to obtain unitary processed frequency domain sequence information;
the judging unit 9043 judges whether the current iteration number meets an iteration suspension condition, wherein if yes, the channel is estimated according to the frequency domain sequence information after unitary processing, and if not, the next iteration is performed, and the iteration suspension condition is whether the current iteration number meets a preset maximum iteration number.
In a specific embodiment of the disclosure, the judging unit 9043 further includes a transmitting unit 90431, a tenth processing unit 90432, an eleventh processing unit 90433, and an estimating unit 90434, where specifically:
a transmission unit 90431, configured to transmit the frequency domain sequence information after the unitary processing to obtain a transmission result, where the transmission result is a transmission result obtained by transmitting the frequency domain sequence information after the unitary processing to a receiving end by using an OFDM system, and the transmission result includes time domain sequence information corresponding to the frequency domain sequence information after the unitary processing;
a tenth processing unit 90432, configured to perform first preprocessing on the transmission result to obtain fifth time domain sequence information, where the first preprocessing is used to perform cyclic prefix removal processing on the transmission result;
an eleventh processing unit 90433, configured to perform a second preprocessing on the fifth time domain sequence information to obtain sixth time domain sequence information, where the second preprocessing is used to perform a 0 setting process on the fifth time domain sequence information;
an estimation unit 90434 is configured to estimate a channel using the sixth time domain sequence information.
In a specific embodiment of the disclosure, the eleventh processing unit 90433 further includes a third acquiring unit 904331, a twelfth processing unit 904332, and a thirteenth processing unit 904333, where:
a third acquiring unit 904331, configured to acquire length information of the cyclic prefix and length information of the maximum multipath delay;
a twelfth processing unit 904332, configured to subtract the length information of the maximum multipath delay from the length information of the cyclic prefix to obtain length information;
and a thirteenth processing unit 904333 configured to perform a 0 setting process on the fifth time domain sequence information according to the length information, to obtain the sixth time domain sequence information.
It should be noted that, regarding the apparatus in the above embodiments, the specific manner in which the respective modules perform the operations has been described in detail in the embodiments regarding the method, and will not be described in detail herein.
Example 3:
corresponding to the above method embodiment, a channel estimation device is further provided in this embodiment, and a channel estimation device described below and a channel estimation method described above may be referred to correspondingly to each other.
Fig. 3 is a block diagram of a channel estimation device 800, shown in accordance with an exemplary embodiment. As shown in fig. 3, the channel estimation apparatus 800 may include: a processor 801, a memory 802. The channel estimation device 800 can also include one or more of a multimedia component 803, an I/O interface 804, and a communication component 805.
Wherein the processor 801 is configured to control the overall operation of the channel estimation device 800 to perform all or part of the steps of the channel estimation method described above. The memory 802 is used to store various types of data to support operation at the channel estimation device 800, which may include, for example, instructions for any application or method operating on the channel estimation device 800, as well as application-related data, such as contact data, transceived messages, pictures, audio, video, and the like. The Memory 802 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 802 or transmitted through the communication component 805. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is configured to perform wired or wireless communication between the channel estimation device 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near FieldCommunication, NFC for short), 2G, 3G or 4G, or a combination of one or more thereof, the respective communication component 805 may thus comprise: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the channel estimation device 800 may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated ASIC), digital signal processor (DigitalSignal Processor, abbreviated DSP), digital signal processing device (Digital Signal Processing Device, abbreviated DSPD), programmable logic device (Programmable Logic Device, abbreviated PLD), field programmable gate array (Field Programmable Gate Array, abbreviated FPGA), controller, microcontroller, microprocessor, or other electronic components for performing the channel estimation methods described above.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the channel estimation method described above is also provided. For example, the computer readable storage medium may be the memory 802 described above including program instructions executable by the processor 801 of the channel estimation device 800 to perform the channel estimation method described above.
Example 4:
corresponding to the above method embodiment, there is also provided a readable storage medium in this embodiment, and a readable storage medium described below and a channel estimation method described above may be referred to correspondingly with each other.
A readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the channel estimation method of the above-described method embodiments.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, and the like.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (4)
1. A method of channel estimation, comprising:
acquiring frequency domain sequence information;
performing 2N-point inverse Fourier transform on the frequency domain sequence information to obtain first time domain sequence information;
performing time domain processing on the first time domain sequence information to obtain second time domain sequence information, wherein the second time domain sequence information is time domain sequence information corresponding to the next iteration of the first time domain sequence information;
estimating a channel according to the second time domain sequence information;
the time domain processing is performed on the first time domain sequence information to obtain second time domain sequence information, including:
acquiring a preset peak-to-average ratio weight parameter;
performing first time domain processing on the first time domain sequence information to obtain third time domain sequence information, wherein the first time domain processing comprises segmentation processing on the first time domain sequence information;
performing unitary processing on the first time domain sequence information to obtain fourth time domain sequence information;
calculating according to the third time domain sequence information, the fourth time domain sequence information and the preset peak-to-average ratio weight parameter to obtain second time domain sequence information;
the first time domain processing is performed on the first time domain sequence information to obtain third time domain sequence information, which includes:
acquiring the length information of a cyclic prefix and the length information of the maximum multipath time delay;
subtracting the length information of the maximum multipath time delay from the length information of the cyclic prefix to obtain length information;
determining a first segmentation point according to the length information, and determining a second segmentation point according to the length information of the maximum multipath time delay;
marking a first time domain information in the first time domain sequence information to the first segmentation point as a first segmentation sequence, and marking a second segmentation point to the last time domain information in the first time domain sequence information as a second segmentation sequence;
setting 0 to the even number sequence in the first segment sequence and the second segment sequence to obtain third time domain sequence information;
wherein estimating the channel according to the second time domain sequence information includes:
performing 2N-point Fourier forward transformation on the second time domain sequence information to obtain transformed frequency domain sequence information;
performing unitary processing on the transformed frequency domain sequence information to obtain frequency domain sequence information subjected to unitary processing;
judging whether the current iteration number meets an iteration suspension condition, wherein if so, estimating a channel according to frequency domain sequence information after unitary processing, and if not, performing the next iteration, wherein the iteration suspension condition is whether the current iteration number meets a preset maximum iteration number;
wherein the estimating the channel according to the frequency domain sequence information after the unitary processing includes:
transmitting the frequency domain sequence information subjected to unitary processing to obtain a transmission result, wherein the transmission result is obtained by transmitting the frequency domain sequence information subjected to unitary processing to a receiving end by using an OFDM system, and the transmission result comprises time domain sequence information corresponding to the frequency domain sequence information subjected to unitary processing;
performing first preprocessing on the transmission result to obtain fifth time domain sequence information, wherein the first preprocessing is used for performing cyclic prefix removal processing on the transmission result;
performing second preprocessing on the fifth time domain sequence information to obtain sixth time domain sequence information, wherein the second preprocessing is used for performing 0 setting processing on the fifth time domain sequence information;
and estimating a channel by using the sixth time domain sequence information.
2. A channel estimation apparatus, comprising:
the acquisition module is used for acquiring the frequency domain sequence information;
the first processing module is used for carrying out 2N-point inverse Fourier transform on the frequency domain sequence information to obtain first time domain sequence information;
the second processing module is used for performing time domain processing on the first time domain sequence information to obtain second time domain sequence information, wherein the second time domain sequence information is time domain sequence information corresponding to the next iteration of the first time domain sequence information;
an estimation module, configured to estimate a channel according to the second time domain sequence information;
wherein the second processing module comprises:
the first acquisition unit is used for acquiring preset peak-to-average ratio weight parameters;
the first processing unit is used for performing first time domain processing on the first time domain sequence information to obtain third time domain sequence information, and the first time domain processing comprises segmentation processing on the first time domain sequence information;
the second processing unit is used for carrying out unitary processing on the first time domain sequence information to obtain fourth time domain sequence information;
the third processing unit is used for calculating according to the third time domain sequence information, the fourth time domain sequence information and the preset peak-to-average ratio weight parameter to obtain second time domain sequence information;
wherein the first processing unit includes:
a second obtaining unit, configured to obtain length information of a cyclic prefix and length information of a maximum multipath delay;
a fourth processing unit, configured to subtract the length information of the maximum multipath delay from the length information of the cyclic prefix, to obtain length information;
a fifth processing unit, configured to determine a first segmentation point according to the length information, and determine a second segmentation point according to the length information of the maximum multipath delay;
a sixth processing unit, configured to mark a first time domain information in the first time domain sequence information to the first segmentation point as a first segmentation sequence, and mark a second segmentation point to a last time domain information in the first time domain sequence information as a second segmentation sequence;
a seventh processing unit, configured to set 0 an even number sequence in the first segment sequence and the second segment sequence, to obtain third time domain sequence information;
wherein the estimation module comprises:
an eighth processing unit, configured to perform 2N-point fourier forward transform on the second time domain sequence information to obtain transformed frequency domain sequence information;
a ninth processing unit, configured to perform unitary processing on the transformed frequency domain sequence information, to obtain unitary processed frequency domain sequence information;
the judging unit judges whether the current iteration times meet iteration suspension conditions, wherein if yes, the channel is estimated according to frequency domain sequence information after unitary processing, if not, the next iteration is carried out, and the iteration suspension conditions are whether the current iteration times meet preset maximum iteration times or not;
wherein the judging unit includes:
the transmission unit is used for transmitting the frequency domain sequence information subjected to the unitary processing to obtain a transmission result, wherein the transmission result is obtained by transmitting the frequency domain sequence information subjected to the unitary processing to a receiving end by using an OFDM system, and the transmission result comprises time domain sequence information corresponding to the frequency domain sequence information subjected to the unitary processing;
a tenth processing unit, configured to perform first preprocessing on the transmission result to obtain fifth time domain sequence information, where the first preprocessing is used to perform cyclic prefix removal processing on the transmission result;
an eleventh processing unit, configured to perform second preprocessing on the fifth time domain sequence information to obtain sixth time domain sequence information, where the second preprocessing is used to perform 0 setting processing on the fifth time domain sequence information;
and the estimation unit is used for estimating the channel by using the sixth time domain sequence information.
3. A channel estimation device, comprising:
a memory for storing a computer program;
processor for implementing the steps of the channel estimation method according to any of the claims 1 when executing said computer program.
4. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the channel estimation method according to any of the claims 1.
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