CN112565117A - Filter bank multi-carrier channel estimation method, system, medium, terminal and application - Google Patents

Filter bank multi-carrier channel estimation method, system, medium, terminal and application Download PDF

Info

Publication number
CN112565117A
CN112565117A CN202011233866.9A CN202011233866A CN112565117A CN 112565117 A CN112565117 A CN 112565117A CN 202011233866 A CN202011233866 A CN 202011233866A CN 112565117 A CN112565117 A CN 112565117A
Authority
CN
China
Prior art keywords
channel estimation
pilot frequency
information
channel
estimation value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202011233866.9A
Other languages
Chinese (zh)
Other versions
CN112565117B (en
Inventor
李靖
吕宝均
任德锋
葛建华
武晨辉
武思同
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xidian University
Original Assignee
Xidian University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xidian University filed Critical Xidian University
Priority to CN202011233866.9A priority Critical patent/CN112565117B/en
Publication of CN112565117A publication Critical patent/CN112565117A/en
Application granted granted Critical
Publication of CN112565117B publication Critical patent/CN112565117B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • 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
    • 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
    • H04L27/2626—Arrangements specific to the transmitter only
    • H04L27/2627—Modulators
    • H04L27/264—Pulse-shaped multi-carrier, i.e. not using rectangular window
    • 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
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2655—Synchronisation arrangements
    • H04L27/2689—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation
    • H04L27/2695—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation with channel estimation, e.g. determination of delay spread, derivative or peak tracking
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Power Engineering (AREA)
  • Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)
  • Noise Elimination (AREA)

Abstract

The invention belongs to the technical field of wireless communication, and discloses a filter bank multi-carrier channel estimation method, a system, a medium, a terminal and application. Compared with the AP scheme, the method has the advantages that the secondary pilot frequency is added, a more accurate overall channel estimation value is obtained, and meanwhile, the method has stronger channel fast fading resistance. Compared with the traditional feedback interference calculation method, the method has the advantages that the algorithm is provided to calibrate the channel estimation initial value, the channel estimation initial value with higher accuracy is obtained, the iterative convergence speed is higher, the estimation precision is higher, and the system performance is better.

Description

Filter bank multi-carrier channel estimation method, system, medium, terminal and application
Technical Field
The invention belongs to the technical field of wireless communication, and particularly relates to a filter bank multi-carrier channel estimation method, a system, a medium, a terminal and application.
Background
At present: based on Filter Bank Multicarrier (FBMC), by introducing a prototype filter with good time-Frequency focusing characteristics to each subcarrier, compared with a conventional Orthogonal Frequency Division Multiplexing (OFDM) system, the Filter Bank Multicarrier (FBMC) -based OFDM system has the advantages of higher spectrum utilization rate, smaller out-of-band leakage and more flexibility. Therefore, FBMC technology is a more potential multi-carrier technology, has been a research hotspot and is widely applied in wireless communication. However, the FBMC system relaxes the condition of subcarrier orthogonality in order to guarantee the Offset Quadrature Amplitude Modulation (OQAM) used by the transmission rate, so that the system may generate inherent interference, thereby affecting the performance of channel estimation of the system. There have been a lot of research efforts on flat fading channels, but under fast fading channel conditions, the inherent interference will also show a more complex form and the size of the interference domain will also limit the pilot spacing in the time domain, resulting in that many algorithms that perform well under flat fading cannot achieve ideal estimation performance under fast fading channels. The main idea of the present IAM algorithm based on block pilot is to estimate the interference at the pilot as a part of the pilot energy, so as to reduce the influence of noise. The auxiliary pilot frequency scheme based on the scattered pilot frequency eliminates the inherent interference in the neighborhood by adding the auxiliary pilot frequency, the larger the neighborhood range is, the larger the power overhead of the system is, although a more accurate channel estimation value can be obtained at the pilot frequency position, the pilot frequency is discontinuous in the time direction, so that it is difficult to resist the fast fading of the channel. The comb-type pilot-based scheme has the capability of resisting fast fading, but the channel estimation accuracy is too low due to the pilot position, so that the performance of the comb-type pilot-based scheme in the fast fading channel is poor finally. The interference elimination scheme of joint iteration and signal detection is to carry out inherent interference calculation through demodulated signals so as to carry out signal interference elimination and channel estimation again.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) the prior art has discontinuous pilot frequency in the time domain direction and can not adapt to a fast fading channel.
(2) In the prior art, the pilot frequency position is greatly influenced by inherent interference, and a relatively accurate channel estimation value cannot be obtained.
(3) In the prior art, interference elimination is performed by combining iteration and signal detection, the initial channel estimation is inaccurate, the convergence speed is low, and the channel estimation performance is limited.
The difficulty in solving the above problems and defects is: compared with the traditional CP-OFDM system, the OQAM/FBMC system has higher spectral efficiency, lower out-of-band interference and higher synchronization robustness, but the OQAM/FBMC system adopts an Offset Quadrature Amplitude Modulation (OQAM) technology, which can only meet the requirement of orthogonality in a real number domain and has inherent interference in a complex number domain. In fast fading channels, this inherent interference will also present a more complex form and the size of the interference domain will also limit the pilot spacing in the time domain, resulting in a huge challenge for channel estimation in the OQAM/FBMC system in fast fading channels.
The significance of solving the problems and the defects is as follows: the method aims at the problems of inaccurate channel estimation, slow iterative convergence, limited channel estimation performance and the like of the existing channel estimation algorithm of the fast fading channel. The channel estimation scheme provided by the invention has higher estimation precision and higher convergence speed under a fast fading channel, thereby improving the system performance.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a filter bank multi-carrier channel estimation method, a system, a medium, a terminal and application.
The invention is realized in this way, a filter bank multicarrier channel estimation method, the filter bank multicarrier channel estimation method includes:
obtaining a secondary pilot frequency position channel estimation value by using an auxiliary pilot frequency method and an interpolation method;
acquiring pseudo pilot frequency information by using the channel estimation value of the secondary pilot frequency;
correcting the pseudo pilot frequency by using the information of the secondary pilot frequency to complete the initial estimation value of the channel;
and (4) performing joint iterative detection and estimation on interference outside a second-order neighborhood, and feeding back to correct the initial channel estimation value.
Further, the filter bank multicarrier channel estimation method comprises the following steps:
1) calculating an initial value of pilot frequency position channel estimation: calculating the channel estimation value of the main pilot frequency position according to an auxiliary pilot frequency method, and obtaining the channel estimation value of the secondary pilot frequency position by interpolation in the time domain direction
Figure BDA0002766094550000031
Receiving information y using secondary pilot positionsp,qAnd channel estimation of secondary pilot position
Figure BDA0002766094550000032
Deriving secondary pilot position pseudo pilot estimates
Figure BDA0002766094550000033
Comprises the following steps:
Figure BDA0002766094550000034
pilot information a using secondary pilot positionsp,qReplaceable type
Figure BDA0002766094550000035
In (1)
Figure BDA0002766094550000036
The secondary pilot position channel estimation value after the secondary pilot information calibration is obtained as follows:
Figure BDA0002766094550000037
2) joint signal demodulation and detection estimates the inherent interference: carrying out interpolation by utilizing the channel information of the primary pilot frequency and the secondary pilot frequency to obtain the information of the whole channel, carrying out signal demodulation and detection, and recalculating the interference at the pilot frequency by utilizing the detected information;
3) feedback interference estimation correction channel estimation: the obtained interference at the pilot frequency is fed back to correct the channel estimation value, and more accurate channel estimation information is obtained;
4) iteration: repeating the steps 3) and 4) for n times of iteration to obtain a channel estimation correction value
Figure BDA0002766094550000038
Further, the calibration formula for the pseudo pilot frequency estimation is as follows:
Figure BDA0002766094550000039
the pilot information is used to calibrate the estimate of the pseudo pilot.
Further, the channel estimation calibration formula of the secondary pilot frequency position is as follows:
Figure BDA00027660945500000310
it is a further object of the invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
obtaining a secondary pilot frequency position channel estimation value by using an auxiliary pilot frequency method and an interpolation method;
acquiring pseudo pilot frequency information by using the channel estimation value of the secondary pilot frequency;
correcting the pseudo pilot frequency by using the information of the secondary pilot frequency to complete the initial estimation value of the channel;
and (4) performing joint iterative detection and estimation on interference outside a second-order neighborhood, and feeding back to correct the initial channel estimation value.
It is another object of the present invention to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
obtaining a secondary pilot frequency position channel estimation value by using an auxiliary pilot frequency method and an interpolation method;
acquiring pseudo pilot frequency information by using the channel estimation value of the secondary pilot frequency;
correcting the pseudo pilot frequency by using the information of the secondary pilot frequency to complete the initial estimation value of the channel;
and (4) performing joint iterative detection and estimation on interference outside a second-order neighborhood, and feeding back to correct the initial channel estimation value.
Another object of the present invention is to provide an information data processing terminal for implementing the filter bank multicarrier channel estimation method.
Another object of the present invention is to provide a filter bank multicarrier channel estimation system implementing the filter bank multicarrier channel estimation method, the filter bank multicarrier channel estimation system comprising:
a secondary pilot position channel estimation value obtaining module, which is used for obtaining a secondary pilot position channel estimation value by using an auxiliary pilot method and an interpolation method;
a pseudo pilot frequency information obtaining module, configured to obtain pseudo pilot frequency information by using a channel estimation value of a secondary pilot frequency;
the channel initial estimation value calculation module is used for correcting the pseudo pilot frequency by using the information of the secondary pilot frequency to complete the channel initial estimation value;
and the corrected channel initial estimation value feedback module is used for jointly and iteratively detecting and estimating interference outside a second-order neighborhood and feeding back the corrected channel initial estimation value.
It is another object of the invention to provide a filter implementing the filter bank multi-carrier channel estimation method.
Another object of the present invention is to provide a servo motor, wherein the filter bank multi-carrier channel estimation system is installed in the servo motor.
By combining all the technical schemes, the invention has the advantages and positive effects that: the invention respectively obtains the channel estimation values of the primary pilot frequency position and the secondary pilot frequency position by using an auxiliary pilot frequency method and a first-order linear interpolation method, then calibrates the channel estimation value of the secondary pilot frequency position by using secondary pilot frequency information to obtain a channel estimation initial value with higher accuracy, and finally improves the precision of channel estimation and the system performance by feedback interference calculation. Compared with the AP scheme, the method has the advantages that the secondary pilot frequency is added, a more accurate overall channel estimation value is obtained, and meanwhile, the method has stronger channel fast fading resistance. Compared with the traditional feedback interference calculation method, the method has the advantages that the algorithm is provided to calibrate the channel estimation initial value, the channel estimation initial value with higher accuracy is obtained, the iterative convergence speed is higher, the estimation precision is higher, and the system performance is better.
Aiming at the problems, the invention adopts the combination of an auxiliary pilot frequency algorithm and a comb-shaped pilot frequency structure, and simultaneously invents a channel estimation method based on feedback interference calculation. Different from the traditional OQAM/FBMC interference elimination algorithm, the algorithm obtains the channel estimation value of the primary pilot position by an auxiliary pilot method, then obtains the channel information of the secondary pilot position by utilizing time domain direction interpolation, then estimates the pseudo pilot frequency by the receiving information and the channel information of the secondary pilot position, and finally calibrates the pseudo pilot frequency by the pilot information of the secondary pilot position so as to obtain a more accurate channel estimation value of the secondary pilot position.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a flowchart of a filter bank multicarrier channel estimation method according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a filter bank multicarrier channel estimation system according to an embodiment of the present invention;
in fig. 2: 1. a secondary pilot frequency position channel estimation value obtaining module; 2. a pseudo pilot information obtaining module; 3. a channel initial estimation value calculation module; 4. and a feedback module for correcting the initial estimation value of the channel.
Fig. 3 is a schematic diagram of a pilot structure of an application according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for calculating a channel estimation based on feedback interference in an FBMC system according to an embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a method for calculating channel estimation based on feedback interference according to an embodiment of the present invention;
fig. 6(a) is a diagram of the performance of the bit error rate system according to the embodiment of the present invention.
Fig. 6(b) is a diagram of system performance against fast fading provided by an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems in the prior art, the present invention provides a method, a system, a medium, a terminal and an application for filter bank multi-carrier channel estimation, and the present invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the filter bank multicarrier channel estimation method provided by the present invention includes the following steps:
s101: obtaining a secondary pilot frequency position channel estimation value by using an auxiliary pilot frequency method and an interpolation method;
s102: acquiring pseudo pilot frequency information by using the channel estimation value of the secondary pilot frequency;
s103: correcting the pseudo pilot frequency by using the information of the secondary pilot frequency to complete the initial estimation value of the channel;
s104: and (4) performing joint iterative detection and estimation on interference outside a second-order neighborhood, and feeding back to correct the initial channel estimation value.
Those skilled in the art can also implement the filter bank multi-carrier channel estimation method provided by the present invention by adopting other steps, and the filter bank multi-carrier channel estimation method provided by the present invention in fig. 1 is only one specific embodiment.
As shown in fig. 2, the filter bank multicarrier channel estimation system provided by the present invention includes:
a secondary pilot position channel estimation value obtaining module 1, configured to obtain a secondary pilot position channel estimation value by using an auxiliary pilot method and an interpolation method;
a pseudo pilot information obtaining module 2, configured to obtain pseudo pilot information by using a channel estimation value of a secondary pilot;
a channel initial estimation value calculation module 3, configured to correct the pseudo pilot frequency by using the information of the secondary pilot frequency, and complete a channel initial estimation value;
and the corrected channel initial estimation value feedback module 4 is used for jointly and iteratively detecting and estimating interference outside a second-order neighborhood, and feeding back the corrected channel initial estimation value.
The technical solution of the present invention is further described below with reference to the accompanying drawings.
As shown in fig. 4, the filter bank multicarrier channel estimation method provided by the present invention includes the following steps:
step 1, calculating initial value of pilot frequency position channel estimation value
(1a) Referring to fig. 3, the channel estimation value of the primary pilot position is calculated by the secondary pilot method, and then the channel estimation value of the secondary pilot position is obtained by the first-order linear interpolation method
Figure BDA0002766094550000071
(1b) Receiving information y using secondary pilot positionsp,qAnd the channel estimation value of the secondary pilot frequency position in step 1
Figure BDA0002766094550000072
Secondary pilot position pseudo pilot frequency can be obtained
Figure BDA0002766094550000073
Estimating
Figure BDA0002766094550000074
(1c) Using pilot information a with known secondary pilot positionsp,qReplacement of pseudo pilots
Figure BDA0002766094550000075
Real part of
Figure BDA0002766094550000076
The estimated value of the secondary pilot frequency position channel after the calibration of the secondary pilot frequency information can be obtained
Figure BDA0002766094550000077
Step 2, joint signal demodulation and detection estimation of inherent interference:
(2a) as shown in fig. 5, the channel information of the primary pilot and the secondary pilot is used to perform first-order linear interpolation to obtain the information of the whole channel, and the signal after zero-forcing equalization is
Figure BDA0002766094550000078
Wherein
Figure BDA0002766094550000079
And
Figure BDA00027660945500000710
respectively represent the m-th0N th of sub-carrier0The received signal, the inherent interference and the transmitted signal on a symbol,
Figure BDA00027660945500000711
channel frequency response information for the corresponding location;
(2b) making hard decision on the equalized signal, and if Re {. cndot.) represents the operation of the real partThen the signal after decision detection can represent:
Figure BDA00027660945500000712
(2c) estimating the interference of the second-order neighborhood of the pilot frequency position by using the detected signal, and if the omega is ordered, carrying out estimation2A second-order neighborhood is represented in which,<·>the interference estimation formula is as follows when the inner product is expressed:
Figure BDA00027660945500000713
Figure BDA0002766094550000081
and gm,nAnd (t) are respectively the interference coefficients of the filter at corresponding positions.
Step 3, feeding back interference estimation and correction channel estimation:
as shown in fig. 5, the second-order neighborhood interference at the pilot frequency position obtained in step 2 is fed back, the signal at the receiving end is corrected, and channel estimation is performed again to obtain more accurate channel information.
Step 4, iteratively acquiring more accurate channel estimation information: repeating the iteration steps 3 and 4, and performing n iterations to obtain a channel estimation correction value
Figure BDA0002766094550000082
The application effect of the present invention will be described in detail with reference to the simulation.
The simulation parameters of the OQAM/FBMC system adopted by the invention are shown in the table 1 and the table 2.
TABLE 1 FBMC/OQAM System simulation parameter settings
Figure BDA0002766094550000083
TABLE 2 EPA channel parameters
Figure BDA0002766094550000084
The simulation result is shown in fig. 6(a) and fig. 6(b), where the new feedback interference calculation method is the channel estimation method proposed in the present invention, the feedback interference calculation method indicates that the conventional method without correcting the initial value of channel estimation is performed, and for performance comparison, the interference calculation all uses a second-order neighborhood, and the number of iterations is n-1.
Fig. 6(a) shows that in a communication environment with a speed of 300Km/h, the auxiliary pilot channel estimation performance is the worst, and the feedback interference calculation method has a performance improved compared with the AP method, whereas the new feedback interference calculation method proposed by the present invention has the best channel estimation performance, and as can be seen from simulation results, when the signal-to-noise ratio is large, the performance improvement is obvious.
Fig. 6(b) shows that under the condition that the SNR is 30, the bit error rate performance of the system gradually decreases as the speed increases, and the decreasing speed slows down at higher speeds, wherein the decreasing speed of the new feedback interference calculation method proposed by the present invention is the slowest. Under the same speed condition, the bit error rate performance of the three algorithms is sequentially improved, and the improvement amplitude of the bit error rate performance is larger and larger along with the increase of the speed.
In conclusion, under the same fast fading channel environment, the scheme provided by the invention has the best performance, and the performance advantage is more obvious along with the increase of the signal-to-noise ratio; in different fast fading channel environments, the fast fading resistance of the proposed scheme is always kept optimal along with the increase of the speed, and the advantage of the fast fading resistance is more obvious, and the advantage of the performance in the fast fading channel environment is obtained by increasing the complexity of the initial information calibration of the channel.
It should be noted that the embodiments of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided on a carrier medium such as a disk, CD-or DVD-ROM, programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier, for example. The apparatus and its modules of the present invention may be implemented by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of hardware circuits and software, e.g., firmware.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A filter bank multi-carrier channel estimation method, characterized in that the filter bank multi-carrier channel estimation method comprises:
obtaining a secondary pilot frequency position channel estimation value by using an auxiliary pilot frequency method and an interpolation method;
acquiring pseudo pilot frequency information by using the channel estimation value of the secondary pilot frequency;
correcting the pseudo pilot frequency by using the information of the secondary pilot frequency to complete the initial estimation value of the channel;
and (4) performing joint iterative detection and estimation on interference outside a second-order neighborhood, and feeding back to correct the initial channel estimation value.
2. The filter bank multicarrier channel estimation method according to claim 1, wherein said filter bank multicarrier channel estimation method comprises the steps of:
1) calculating an initial value of pilot frequency position channel estimation: calculating the channel estimation value of the main pilot frequency position according to an auxiliary pilot frequency method, and obtaining the channel estimation value of the secondary pilot frequency position by interpolation in the time domain direction
Figure FDA0002766094540000011
Receiving information y using secondary pilot positionsp,qAnd channel estimation of secondary pilot position
Figure FDA0002766094540000012
Deriving secondary pilot position pseudo pilot estimates
Figure FDA0002766094540000013
Comprises the following steps:
Figure FDA0002766094540000014
pilot information a using secondary pilot positionsp,qReplaceable type
Figure FDA0002766094540000015
In (1)
Figure FDA0002766094540000016
The secondary pilot position channel estimation value after the secondary pilot information calibration is obtained as follows:
Figure FDA0002766094540000017
2) joint signal demodulation and detection estimates the inherent interference: carrying out interpolation by utilizing the channel information of the primary pilot frequency and the secondary pilot frequency to obtain the information of the whole channel, carrying out signal demodulation and detection, and recalculating the interference at the pilot frequency by utilizing the detected information;
3) feedback interference estimation correction channel estimation: the obtained interference at the pilot frequency is fed back to correct the channel estimation value, and more accurate channel estimation information is obtained;
4) iteration: repeating the steps 3) and 4) for n times of iteration to obtain a channel estimation correction value
Figure FDA0002766094540000018
3. The filterbank multicarrier channel estimation method of claim 2, wherein said pseudo pilot estimation calibration formula is:
Figure FDA0002766094540000021
the pilot information is used to calibrate the estimate of the pseudo pilot.
4. The filterbank multicarrier channel estimation method of claim 2, wherein said channel estimation calibration formula for said secondary pilot locations is:
Figure FDA0002766094540000022
5. a computer device, characterized in that the computer device comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of:
obtaining a secondary pilot frequency position channel estimation value by using an auxiliary pilot frequency method and an interpolation method;
acquiring pseudo pilot frequency information by using the channel estimation value of the secondary pilot frequency;
correcting the pseudo pilot frequency by using the information of the secondary pilot frequency to complete the initial estimation value of the channel;
and (4) performing joint iterative detection and estimation on interference outside a second-order neighborhood, and feeding back to correct the initial channel estimation value.
6. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
obtaining a secondary pilot frequency position channel estimation value by using an auxiliary pilot frequency method and an interpolation method;
acquiring pseudo pilot frequency information by using the channel estimation value of the secondary pilot frequency;
correcting the pseudo pilot frequency by using the information of the secondary pilot frequency to complete the initial estimation value of the channel;
and (4) performing joint iterative detection and estimation on interference outside a second-order neighborhood, and feeding back to correct the initial channel estimation value.
7. An information data processing terminal, characterized in that the information data processing terminal is configured to implement the filter bank multicarrier channel estimation method according to any one of claims 1 to 4.
8. A filter bank multicarrier channel estimation system for implementing the filter bank multicarrier channel estimation method according to any one of claims 1 to 4, the filter bank multicarrier channel estimation system comprising:
a secondary pilot position channel estimation value obtaining module, which is used for obtaining a secondary pilot position channel estimation value by using an auxiliary pilot method and an interpolation method;
a pseudo pilot frequency information obtaining module, configured to obtain pseudo pilot frequency information by using a channel estimation value of a secondary pilot frequency;
the channel initial estimation value calculation module is used for correcting the pseudo pilot frequency by using the information of the secondary pilot frequency to complete the channel initial estimation value;
and the corrected channel initial estimation value feedback module is used for jointly and iteratively detecting and estimating interference outside a second-order neighborhood and feeding back the corrected channel initial estimation value.
9. A filter for performing the filter bank multi-carrier channel estimation method according to any one of claims 1 to 4.
10. A servo motor, characterized in that it is equipped with a filter bank multicarrier channel estimation system according to claim 8.
CN202011233866.9A 2020-11-06 2020-11-06 Filter bank multi-carrier channel estimation method, system, medium, terminal and application Active CN112565117B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011233866.9A CN112565117B (en) 2020-11-06 2020-11-06 Filter bank multi-carrier channel estimation method, system, medium, terminal and application

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011233866.9A CN112565117B (en) 2020-11-06 2020-11-06 Filter bank multi-carrier channel estimation method, system, medium, terminal and application

Publications (2)

Publication Number Publication Date
CN112565117A true CN112565117A (en) 2021-03-26
CN112565117B CN112565117B (en) 2022-05-31

Family

ID=75041573

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011233866.9A Active CN112565117B (en) 2020-11-06 2020-11-06 Filter bank multi-carrier channel estimation method, system, medium, terminal and application

Country Status (1)

Country Link
CN (1) CN112565117B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024001789A1 (en) * 2022-06-27 2024-01-04 中兴通讯股份有限公司 Signal detection method and device and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150049836A1 (en) * 2012-03-29 2015-02-19 Alcatel Lucent Method and apparatus for filter bank multi-carrier signal transmission and channel estimation
CN108462557A (en) * 2018-02-11 2018-08-28 西安电子科技大学 The iteration detection method of joint channel estimation in a kind of FBMC systems
CN109672637A (en) * 2019-02-28 2019-04-23 重庆邮电大学 A kind of FBMC channel estimation methods based on interferential loads iteration
CN111555993A (en) * 2020-05-20 2020-08-18 西安电子科技大学 Channel estimation method based on iterative preprocessing in FBMC system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150049836A1 (en) * 2012-03-29 2015-02-19 Alcatel Lucent Method and apparatus for filter bank multi-carrier signal transmission and channel estimation
CN108462557A (en) * 2018-02-11 2018-08-28 西安电子科技大学 The iteration detection method of joint channel estimation in a kind of FBMC systems
CN109672637A (en) * 2019-02-28 2019-04-23 重庆邮电大学 A kind of FBMC channel estimation methods based on interferential loads iteration
CN111555993A (en) * 2020-05-20 2020-08-18 西安电子科技大学 Channel estimation method based on iterative preprocessing in FBMC system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024001789A1 (en) * 2022-06-27 2024-01-04 中兴通讯股份有限公司 Signal detection method and device and storage medium

Also Published As

Publication number Publication date
CN112565117B (en) 2022-05-31

Similar Documents

Publication Publication Date Title
KR100854636B1 (en) Method and apparatus for calculating likelihood metric of a received signal in digital communication systems
US20040005010A1 (en) Channel estimator and equalizer for OFDM systems
KR101239760B1 (en) An mmse mimo decoder using qr decomposition
CN109257308B (en) Phase noise estimation method and device
JP2008544626A (en) Receiver for receiving a multicarrier signal
CN111585740B (en) Transmission signal synchronization processing method, system, storage medium, program, and terminal
CN108462557B (en) Iterative detection method for joint channel estimation in FBMC system
CN113452641B (en) FBMC channel estimation method, system, computer equipment and terminal
US20050190871A1 (en) Multicarrier communication using a time domain equalizing filter
Murin et al. Low complexity estimation of carrier and sampling frequency offsets in burst‐mode OFDM systems
JP4352035B2 (en) OFDM demodulator, method and program
Choi et al. Effect of timing and frequency synchronization errors on GFDM systems
CN112565117B (en) Filter bank multi-carrier channel estimation method, system, medium, terminal and application
KR100752670B1 (en) Ofdm system, symbol estimation apparatus and inter-carrier interference cancellation method for estimating symbol value using the output of forward error correction decoder
KR20230008787A (en) Channel Estimation and Equalization in OFDM Systems
KR102314426B1 (en) Pilot signal generating apparatus and generating method thereof, transmission apparatus
JP5641816B2 (en) Receiving apparatus and receiving method
CN107968760B (en) Receiving algorithm based on iterative channel estimation in filtering multi-tone modulation system
US8457222B2 (en) Method for estimating channel statistics in an OFDM receiver
US8194768B1 (en) Channel estimation using linear phase estimation
US20080219360A1 (en) System and method for performing channel estimation using interpolation
WO2017097077A1 (en) Data processing method and apparatus
US9137053B2 (en) Apparatus and method of estimating channel in consideration of residual synchronization offset
Zhang et al. Improved DFT-based channel estimation for OFDM systems with null subcarriers
KR101294283B1 (en) Method for estimating channel based on cross correlation of ofdm system and device thereof

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant