CN110445740A - Frequency deviation estimating method and system based on repetitive sequence - Google Patents
Frequency deviation estimating method and system based on repetitive sequence Download PDFInfo
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0014—Carrier regulation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0014—Carrier regulation
- H04L2027/0024—Carrier regulation at the receiver end
- H04L2027/0026—Correction of carrier offset
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Abstract
The invention discloses a kind of frequency deviation estimating method and system based on repetitive sequence, this method comprises: with length NgSampled signal is made auto-correlation computation and summed for interval to obtain a value, the first offset estimation value is obtained according to the phase of the value and the first offset estimation value is denoted as the first relative frequency deviation value relative to the relative frequency deviation of subcarrier spacing, whereinN is the length of base band Fourier transformation, and G is the integer greater than 1;With length NhSampled signal is made auto-correlation computation and summed for interval to obtain another value, the second offset estimation value is obtained according to the phase of the value and the second offset estimation value is denoted as the second relative frequency deviation value relative to the relative frequency deviation of subcarrier spacing, wherein Nh=N*h, h are the integer more than or equal to 1;The second relative frequency deviation value is calibrated by the first relative frequency deviation value.The frequency deviation estimating method and system can be improved the frequency offset estimation accuracy under big frequency deviation coverage area.
Description
Technical field
The present invention relates to wireless communication fields, especially with regard to a kind of frequency deviation estimating method based on repetitive sequence and are
System.
Background technique
The general requirement of initial synchronisation capture in receiver is realized same when there is the frequency departure between transceiver
Step.To guarantee capture and synchronization under big frequency deviation, repetitive sequence is often used in OFDM (orthogonal frequency division multiplexing) system.Based on weight
The synchronization scheme of complex sequences is often used sliding auto-correlation computation, in certain original frequency deviation range, when reception window is slided
When to the initial position of repeating signal, auto-correlation amplitude reaches maximum, and the angle of autocorrelation value can estimate frequency deviation at this time.For drop
It is biggish to usually require that acquisition procedure can be fought to reduce cost of implementation for the requirement of the low crystal oscillator accuracy to transceiver
Frequency deviation, the frequency deviation precision as 802.11a and 802.15.4g system allows reach 20ppm, then receiver needs in initial acquisition process
Overcome the frequency deviation of 40ppm, the radiofrequency signal central frequency range to work thus according to system, 802.11a and 802.15.4g divide
1/4 and minimum 1/8 that basic repetitive sequence length is the useful symbol lengths of OFDM (i.e. base band FFT length) is not devised, then certainly
The interval of related operation is typically designed to a lesser length, is to reach the opposable maximum frequency deviation of initial acquisition process
2 times of ofdm system subcarrier spacing and 4 times.But the frequency offset estimation accuracy under this big frequency deviation coverage area is limited.
The frequency offset estimation accuracy obtained in initial acquisition based on repetitive sequence/thick synchronizing process depends on the gross weight used
The size of the length of complex sequences, noise when timing offset.The precision of obvious coarse frequency offset is higher, is based on to subsequent from phase
The synchronous detection probability influence of essence for closing characteristic is smaller, also smaller to the accumulated phase difference of subsequent data demodulation process, more advantageous
In the performance for improving follow-up data demodulation.To the 802.15.4g MR-OFDM of 1.2M bandwidth, the basic repetition of short training sequence
The FFT length (Fourier transformation length) that section is 1/8, when system work is in 870M frequency range, the frequency deviation of 40 ppm it is corresponding [- 4,
4] the frequency acquisition range of a subcarrier spacing, usually using continuous basic repeated segments (the 1/8FFT length in front and back in receiver
The auto-correlation at interval) auto-correlation accumulated value come realize timing and Frequency Estimation.It can analyze this big frequency deviation coverage area
Scheme compared to small frequency deviation coverage area reduces same data length and with the frequency offset estimation accuracy under signal-to-noise ratio.
The information disclosed in the background technology section is intended only to increase the understanding to general background of the invention, without answering
When being considered as recognizing or imply that the information constitutes the prior art already known to those of ordinary skill in the art in any form.
Summary of the invention
The purpose of the present invention is to provide a kind of frequency deviation estimating method and system based on repetitive sequence can be improved big
Frequency offset estimation accuracy under frequency deviation coverage area.
To achieve the above object, the present invention provides a kind of frequency deviation estimating methods based on repetitive sequence comprising: it receives
Machine is with length NgSampled signal is made sliding auto-correlation computation and summed for interval to obtain an autocorrelation value, according to the auto-correlation
The phase of value obtains the first offset estimation value, and the first offset estimation value is denoted as relative to the relative frequency deviation of subcarrier spacing
First relative frequency deviation value, whereinN is the length of base band Fourier transformation, and G is the integer greater than 1;Receiver is with length
Spend NhThe sampled signal is made sliding auto-correlation computation and summed for interval to obtain another autocorrelation value, according to the auto-correlation
The phase of value obtains the second offset estimation value, and the second offset estimation value is denoted as relative to the relative frequency deviation of subcarrier spacing
Second relative frequency deviation value, wherein Nh=N*h, h are the integer more than or equal to 1;By described within the scope of maximum integer frequency bias
First relative frequency deviation value calibrates the second relative frequency deviation value, obtains final offset estimation value.
In one embodiment of the present invention, pass through the first relative frequency deviation value pair within the scope of maximum integer frequency bias
The second relative frequency deviation value is calibrated, and obtaining final offset estimation value includes: by the maximum integer frequency bias range
Expand h times, each integer that then will be enlarged by h times of integer frequency bias range obtains multiple quotients divided by h respectively;It will be described
Second relative frequency deviation value and multiple quotient distinguish summing value;Each and value is compared with the first relative frequency deviation value,
It is worth immediate and value as final offset estimation value for first relative frequency deviation.
The present invention also provides a kind of frequency deviation estimation systems based on repetitive sequence comprising: the first relative frequency deviation value meter
Calculate module, the second relative frequency deviation value computing module, calibration module.First relative frequency deviation value computing module, for length NgFor
It is spaced and the sampled signal of receiver is made sliding auto-correlation computation and summed to obtain an autocorrelation value, according to the autocorrelation value
Phase obtains the first offset estimation value, and the first offset estimation value is denoted as first relative to the relative frequency deviation of subcarrier spacing
Relative frequency deviation value, whereinN is the length of base band Fourier transformation, and G is the integer greater than 1;Second relative frequency deviation value
Computing module, with length NhThe sampled signal is made sliding auto-correlation computation and summed for interval to obtain another auto-correlation
Value obtains the second offset estimation value according to the phase of the autocorrelation value, and by the second offset estimation value relative between subcarrier
Every relative frequency deviation be denoted as the second relative frequency deviation value, wherein Nh=N*h, h are the integer more than or equal to 1;Calibration module with it is described
First relative frequency deviation value computing module and the second relative frequency deviation value computing module are connected, in maximum integer frequency
The second relative frequency deviation value is calibrated by the first relative frequency deviation value in inclined range, obtains final offset estimation
Value.
In one embodiment of the present invention, the calibration module includes: that quotient seeks module and value seeks module, ratio
Compared with module.Quotient seeks module for the maximum integer frequency bias range to be expanded h times, then will be enlarged by h times of integer
Each integer in frequency deviation region obtains multiple quotients divided by h respectively;Module, which is sought, with value seeks module phase coupling with the quotient
It closes, for the second relative frequency deviation value and multiple quotient to be distinguished summing value;Comparison module and described and value seek module
It is coupled, it, will be closest with the first relative frequency deviation value for each and value to be compared with the first relative frequency deviation value
And value as final offset estimation value.
Compared with prior art, the frequency deviation estimating method and system according to the present invention based on repetitive sequence, first with length
The 1/G (G be integer) greater than 1 for the FFT length that degree be OFDM be spaced to the sampled signal progress auto-correlation computation of capture with
And accumulating operation, the first relative frequency deviation value of one not no phase ambiguity of estimation, while being with h times of the FFT length of OFDM
Interval (h is the integer more than or equal to 1) carries out auto-correlation computation and accumulating operation to the sampled signal of capture, and estimation one has
Phase ambiguity but the higher second relative frequency deviation value of precision pass through no phase mode within the scope of maximum integer frequency bias
First relative frequency deviation value of paste degree the second relative frequency deviation value higher to phase ambiguity but precision is calibrated, thus
Obtain more accurate offset estimation value.The present invention is suitable for happening suddenly and the receiving end frequency-synchronization process of continuous ofdm system,
The precision of offset estimation can be improved under big frequency deviation coverage area.
Detailed description of the invention
Fig. 1 is the flow chart of the frequency deviation estimating method based on repetitive sequence according to an embodiment of the present invention;
Fig. 2 is the module composition of the frequency deviation estimation system based on repetitive sequence according to an embodiment of the present invention.
Specific embodiment
With reference to the accompanying drawing, specific embodiments of the present invention will be described in detail, it is to be understood that guarantor of the invention
Shield range is not limited by the specific implementation.
Unless otherwise explicitly stated, otherwise in entire disclosure and claims, term " includes " or its change
Changing such as "comprising" or " including " etc. will be understood to comprise stated element or component, and not exclude other members
Part or other component parts.
In order to can be improved the precision of offset estimation in big frequency deviation coverage area, the present invention provides a kind of bases
It is first the 1/G of the FFT length of OFDM with length in the frequency deviation estimating method and system of repetitive sequence (G is the integer greater than 1)
Auto-correlation computation and accumulating operation carried out to the sampled signal of capture to be spaced, estimation one not phase ambiguity first
Relative frequency deviation value, while being interval (h is the integer more than or equal to 1) to the sampled signal of capture with h times of the FFT length of OFDM
Auto-correlation computation and accumulating operation are carried out, estimates with the phase ambiguity but higher second relative frequency deviation value of precision,
Within the scope of maximum integer frequency bias, the second relative frequency deviation value is calibrated by the first relative frequency deviation value, is obtained more smart
True offset estimation value.The present invention is suitable for happening suddenly and the receiving end frequency-synchronization process of continuous ofdm system, can be big
The precision of offset estimation is improved under frequency deviation coverage area.
As shown in Figure 1, in one embodiment, the frequency deviation estimating method based on repetitive sequence includes step S1~step
S3。
In step sl, receiver is with length NgSampled signal is made sliding auto-correlation computation and summed for interval to obtain one
A autocorrelation value, according to the phase of the autocorrelation value obtain the first offset estimation value, and by the first offset estimation value relative to
The relative frequency deviation of subcarrier spacing is denoted as the first relative frequency deviation value.Wherein,N is the length of base band Fourier transformation, G
For the integer greater than 1.
In step s 2, receiver is with length NhSampled signal is made sliding auto-correlation computation and summed to obtain separately for interval
One autocorrelation value obtains the second offset estimation value according to the phase of the autocorrelation value, and the second offset estimation value is opposite
The second relative frequency deviation value is denoted as in the relative frequency deviation of subcarrier spacing.Wherein, Nh=N*h, h are the integer more than or equal to 1.
In step s3, within the scope of maximum integer frequency bias by the first relative frequency deviation value to the second relative frequency deviation value into
Row calibration, obtains final offset estimation value.
Specifically, being carried out by the first relative frequency deviation value to the second relative frequency deviation value within the scope of maximum integer frequency bias
Calibration, obtaining final offset estimation value includes: that maximum integer frequency bias range is expanded h times, then will be enlarged by h times whole
Each integer in number frequency deviation region obtains multiple quotients divided by h respectively;Second relative frequency deviation value and multiple quotient are distinguished
Summing value;Each and value is compared with the first relative frequency deviation value, immediate and value will be worth with first relative frequency deviation and is made
For final offset estimation value.
For clearer explanation, it is illustrated again in another embodiment, which applies in broadband SUN-OFDM
In system, wherein FFT length is N=128, and short training sequence is the repetitive sequence in 1/8 period.
Firstly, the received machine antenna of signal of eating dishes without rice or wine, radio-frequency front-end, the processes such as carrier down-conversion, AD, digital filtering, then
Base band is sampled under 1 times of baseband rate, sampled signal is indicated with y (n) ,=0,1 ..., receiver is to base band data
With G is integer greater than 1, and in the present embodiment, 8) G, which takes, makees sliding auto-correlation computation for delay:
Wherein, n0The time index of data is received for starting, s (i) is the symbol {+1, -1 } of i-th section of basic repeated segments, l
For the sampling interval, value range is 0~NgInteger between -1, temporal resolution above are 1 baseband sampling.
This operation also can be used alternative manner and carry out operation to reduce the calculation amount of each sliding sampling period.To mention
The signal-to-noise ratio of height magnitude can make following accumulating operation:
Wherein, M is the number that auto-correlation adds up.
Using autocorrelative cumulative and other related operations are slided, timing position can be determined, if timing position is nC, and
Thus the A at moment is positionedS(nC) angle calculation transceiver between the first relative frequency offset(relative between subcarrier
It is estimated as follows every Δ f):
The relative frequency deviation estimation range is [- G/2, G/2].
Then increase N in sliding processh(Nh=Nh, h are integer more than or equal to 1) be the auto-correlation computation being spaced and
It is cumulative:
WhereinThe thick timing instant n determined according to timing synchronization algorithmC,
One is calculated with the high-precision relative frequency deviation for deviateing practical relative frequency deviation integer number of subcarriers interval caused by phase ambiguity
It is as follows:
The relative frequency deviation estimation range is [- 1/ (2h), 1/ (2h)].
Then, according to desired maximum relative frequency deviation (subcarrier spacing relative to ofdm system) range such as [- G/2, G/
2], desirable 2,4 or 8 G, with the relative frequency deviation of estimationIt is rightCalibrate as follows:
Initialization:
Calibration is attempted:
Calibrate finish timeRelative frequency deviation after precision within the scope of as original maximum relative frequency deviation improves is estimated.
Based on same inventive concept, the present invention also provides a kind of frequency deviation estimation systems based on repetitive sequence.Such as Fig. 1
It is shown, in one embodiment, the frequency deviation estimation system based on repetitive sequence include: the first relative frequency deviation value computing module 10,
Second relative frequency deviation value computing module 11, calibration module 12.First relative frequency deviation value computing module 10 is used for length NgFor
Make sliding auto-correlation computation every the sampled signal to receiver and sum to obtain an autocorrelation value, according to the phase of the autocorrelation value
Position obtains the first offset estimation value, and the first offset estimation value is denoted as the first phase relative to the relative frequency deviation of subcarrier spacing
To frequency deviation value, whereinN is the length of base band Fourier transformation, and G is the integer greater than 1.
Second relative frequency deviation value computing module 11 is used for length NhTo be spaced the sampled signal work sliding to receiver certainly
Related operation and sum obtain another autocorrelation value, according to the phase of the autocorrelation value obtain the second offset estimation value, and will
The second offset estimation value is denoted as the second relative frequency deviation value relative to the relative frequency deviation of subcarrier spacing, wherein Nh=N*h, h are
Integer more than or equal to 1.
Calibration module 12 and the first relative frequency deviation value computing module 10 and the second relative frequency deviation value computing module 11 are homogeneous
Even, it for being calibrated by the first relative frequency deviation value to the second relative frequency deviation value within the scope of maximum integer frequency bias, obtains
Final offset estimation value.
Specifically, calibration module 12 includes: that quotient seeks module 12a and value seeks module 12b, comparison module 12c.Quotient
Value seeks module 12a for maximum integer frequency bias range to be expanded h times, then will be enlarged by h times of integer frequency bias range
The smallest number obtains an integer after subtracting 1, and by the integer and expands each integer point in h times of integer frequency bias range
Multiple quotients are not obtained divided by h;Module 12b sought with value seek module 12a with quotient to be coupled, for by the second relative frequency deviation
Value distinguishes summing value with multiple quotient;Comparison module 12c with and value seek module 12b and be coupled, for will each and value and
First relative frequency deviation value is compared, and is worth immediate and value as final offset estimation value for first relative frequency deviation.
To sum up, the frequency deviation estimating method and system based on repetitive sequence according to the present embodiment be with length first
The 1/G (G is the integer greater than 1) of the FFT length of OFDM is that interval carries out auto-correlation computation to the sampled signal of capture and tires out
Add operation, the first relative frequency deviation value of the not no phase ambiguity of estimation one, while being interval with h times of the FFT length of OFDM
(h is the integer more than or equal to 1) carries out auto-correlation computation and accumulating operation to the sampled signal of capture, and estimation one has phase
Fuzziness but the higher second relative frequency deviation value of precision pass through no phase ambiguity within the scope of maximum integer frequency bias
The first relative frequency deviation value the second relative frequency deviation value higher to phase ambiguity but precision calibrate, to obtain
More accurate offset estimation value.The present invention is suitable for happen suddenly and the receiving end frequency-synchronization process of continuous ofdm system, can be with
The precision of offset estimation is improved under big frequency deviation coverage area.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The aforementioned description to specific exemplary embodiment of the invention is in order to illustrate and illustration purpose.These descriptions
It is not wishing to limit the invention to disclosed precise forms, and it will be apparent that according to the above instruction, can much be changed
And variation.The purpose of selecting and describing the exemplary embodiment is that explaining specific principle of the invention and its actually answering
With so that those skilled in the art can be realized and utilize a variety of different exemplary implementation schemes of the invention and
Various chooses and changes.The scope of the present invention is intended to be limited by claims and its equivalents.
Claims (4)
1. a kind of frequency deviation estimating method based on repetitive sequence characterized by comprising
Receiver is with length NgSampled signal is made sliding auto-correlation computation and summed for interval to obtain an autocorrelation value, according to
The phase of the autocorrelation value obtains the first offset estimation value, and by the first offset estimation value relative to the opposite of subcarrier spacing
Frequency deviation is denoted as the first relative frequency deviation value, whereinN is the length of base band Fourier transformation, and G is the integer greater than 1;
Receiver is with length NhThe sampled signal is made sliding auto-correlation computation and summed for interval to obtain another auto-correlation
Value obtains the second offset estimation value according to the phase of the autocorrelation value, and by the second offset estimation value relative between subcarrier
Every relative frequency deviation be denoted as the second relative frequency deviation value, wherein Nh=* h, h are the integer more than or equal to 1;
The second relative frequency deviation value is calibrated by the first relative frequency deviation value within the scope of maximum integer frequency bias,
Obtain final offset estimation value.
2. as described in claim 1 based on the frequency deviation estimating method of repetitive sequence, which is characterized in that in maximum integer frequency bias
The second relative frequency deviation value is calibrated by the first relative frequency deviation value in range, obtains final offset estimation value
Include:
The maximum integer frequency bias range is expanded h times, then will be enlarged by each integer in h times of integer frequency bias range
Multiple quotients are obtained divided by h respectively;
The second relative frequency deviation value and multiple quotient are distinguished into summing value;
Each and value is compared with the first relative frequency deviation value, immediate and value will be worth with first relative frequency deviation and is made
For final offset estimation value.
3. a kind of frequency deviation estimation system based on repetitive sequence characterized by comprising
First relative frequency deviation value computing module, for length NgTo be spaced the sampled signal work sliding auto-correlation fortune to receiver
Calculate and sum to obtain an autocorrelation value, according to the phase of the autocorrelation value obtain the first offset estimation value, and by this first frequency
Inclined estimated value is denoted as the first relative frequency deviation value relative to the relative frequency deviation of subcarrier spacing, whereinN is in base band Fu
The length of leaf transformation, G are the integer greater than 1;
Second relative frequency deviation value computing module, with length NhSliding auto-correlation computation is made to the sampled signal for interval and is summed
Another autocorrelation value is obtained, the second offset estimation value is obtained according to the phase of the autocorrelation value, and by second offset estimation
Value is denoted as the second relative frequency deviation value relative to the relative frequency deviation of subcarrier spacing, wherein Nh=N*h, h are whole more than or equal to 1
Number;
Calibration module, it is homogeneous with the first relative frequency deviation value computing module and the second relative frequency deviation value computing module
Even, for carrying out school to the second relative frequency deviation value by the first relative frequency deviation value within the scope of maximum integer frequency bias
Standard obtains final offset estimation value.
4. as claimed in claim 3 based on the frequency deviation estimation system of repetitive sequence, which is characterized in that the calibration module packet
It includes:
Quotient seeks module, for the maximum integer frequency bias range to be expanded h times, then will be enlarged by h times of integer frequency
Each integer in inclined range obtains multiple quotients divided by h respectively;
Module is sought with value, module is sought with the quotient and is coupled, is used for the second relative frequency deviation value and multiple quotient
Value difference summing value;
Comparison module seeks module with described and value and is coupled, for carrying out each and value with the first relative frequency deviation value
Compare, is worth immediate and value as final offset estimation value for first relative frequency deviation.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2021027591A1 (en) * | 2019-08-14 | 2021-02-18 | 北京智芯微电子科技有限公司 | Repetitive sequence-based frequency offset estimation method and system |
CN114244674A (en) * | 2021-12-25 | 2022-03-25 | 长沙驰芯半导体科技有限公司 | Frequency offset estimation method and device for ultra-wideband baseband receiver |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1543102A (en) * | 2003-11-10 | 2004-11-03 | 北京邮电大学 | A novel OFDM frequency deviation evaluation and tracking scheme |
CN101014029A (en) * | 2006-08-24 | 2007-08-08 | 上海交通大学 | Method for generating OFDM synchronous training sequence and synchronizing method based on the training sequence |
US20080137768A1 (en) * | 2006-12-08 | 2008-06-12 | Electronics And Telecommunications Research Institute | Apparatus and method of compensating for frequency offset in ofdma system |
CN102065048A (en) * | 2009-11-11 | 2011-05-18 | 中国科学院微电子研究所 | Time-domain joint estimation method for synchronizing frames, frequencies and fine symbols for orthogonal frequency division multiplexing (OFDM) |
CN103117965A (en) * | 2013-01-21 | 2013-05-22 | 天津理工大学 | Joint estimation method of timing frequency offset of satellite borne automatic identification system (AIS) signals and implementation system thereof |
CN104022976A (en) * | 2014-06-16 | 2014-09-03 | 中国科学院计算技术研究所 | Doppler frequency shift estimation method and system for high speed railway LTE system |
WO2014166390A1 (en) * | 2013-04-10 | 2014-10-16 | 富士通株式会社 | Method, device, and system for frequency offset estimation |
CN104506477A (en) * | 2015-01-05 | 2015-04-08 | 中国人民解放军重庆通信学院 | Multi-threshold adaptive detection and estimation method of OFDM (Orthogonal Frequency Division Multiplexing) system at low signal-noise ratio |
CN107086974A (en) * | 2017-03-27 | 2017-08-22 | 西安电子科技大学 | A kind of OFDM synchronous method under high dynamic environment |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8571160B2 (en) * | 2008-03-17 | 2013-10-29 | Nokia Corporation | Frequency estimation |
CN101902435B (en) * | 2010-08-13 | 2012-07-04 | 西安交通大学 | Downlink frequency deviation estimation method based on IEEE (Institute of Electrical and Electronics Engineers) 802.16e communication standard |
US10091044B2 (en) * | 2014-07-17 | 2018-10-02 | Conversant Intellectual Property Management Inc. | System and method for frequency synchronization of Doppler-shifted subcarriers |
CN110445740B (en) * | 2019-08-14 | 2020-09-11 | 北京智芯微电子科技有限公司 | Frequency offset estimation method and system based on repeated sequence |
-
2019
- 2019-08-14 CN CN201910747864.2A patent/CN110445740B/en active Active
-
2020
- 2020-07-30 WO PCT/CN2020/105990 patent/WO2021027591A1/en active Application Filing
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1543102A (en) * | 2003-11-10 | 2004-11-03 | 北京邮电大学 | A novel OFDM frequency deviation evaluation and tracking scheme |
CN101014029A (en) * | 2006-08-24 | 2007-08-08 | 上海交通大学 | Method for generating OFDM synchronous training sequence and synchronizing method based on the training sequence |
US20080137768A1 (en) * | 2006-12-08 | 2008-06-12 | Electronics And Telecommunications Research Institute | Apparatus and method of compensating for frequency offset in ofdma system |
CN102065048A (en) * | 2009-11-11 | 2011-05-18 | 中国科学院微电子研究所 | Time-domain joint estimation method for synchronizing frames, frequencies and fine symbols for orthogonal frequency division multiplexing (OFDM) |
CN103117965A (en) * | 2013-01-21 | 2013-05-22 | 天津理工大学 | Joint estimation method of timing frequency offset of satellite borne automatic identification system (AIS) signals and implementation system thereof |
WO2014166390A1 (en) * | 2013-04-10 | 2014-10-16 | 富士通株式会社 | Method, device, and system for frequency offset estimation |
CN104022976A (en) * | 2014-06-16 | 2014-09-03 | 中国科学院计算技术研究所 | Doppler frequency shift estimation method and system for high speed railway LTE system |
CN104506477A (en) * | 2015-01-05 | 2015-04-08 | 中国人民解放军重庆通信学院 | Multi-threshold adaptive detection and estimation method of OFDM (Orthogonal Frequency Division Multiplexing) system at low signal-noise ratio |
CN107086974A (en) * | 2017-03-27 | 2017-08-22 | 西安电子科技大学 | A kind of OFDM synchronous method under high dynamic environment |
Non-Patent Citations (1)
Title |
---|
吴斌: ""一种OFDM小数倍和整数倍频偏联合估计方法"", 《微电子学与计算机》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2021027591A1 (en) * | 2019-08-14 | 2021-02-18 | 北京智芯微电子科技有限公司 | Repetitive sequence-based frequency offset estimation method and system |
CN114244674A (en) * | 2021-12-25 | 2022-03-25 | 长沙驰芯半导体科技有限公司 | Frequency offset estimation method and device for ultra-wideband baseband receiver |
CN114244674B (en) * | 2021-12-25 | 2023-03-21 | 长沙驰芯半导体科技有限公司 | Frequency offset estimation method and device for ultra-wideband baseband receiver |
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