CN106130945B - Frame synchronization and carrier wave frequency deviation associated detecting method and device - Google Patents
Frame synchronization and carrier wave frequency deviation associated detecting method and device Download PDFInfo
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- CN106130945B CN106130945B CN201610383021.5A CN201610383021A CN106130945B CN 106130945 B CN106130945 B CN 106130945B CN 201610383021 A CN201610383021 A CN 201610383021A CN 106130945 B CN106130945 B CN 106130945B
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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
- H04L27/2647—Arrangements specific to the receiver only
- H04L27/2655—Synchronisation arrangements
- H04L27/2656—Frame synchronisation, e.g. packet synchronisation, time division duplex [TDD] switching point detection or subframe synchronisation
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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
- H04L27/2647—Arrangements specific to the receiver only
- H04L27/2655—Synchronisation arrangements
- H04L27/2657—Carrier synchronisation
- H04L27/266—Fine or fractional frequency offset determination and synchronisation
Abstract
The present invention relates to electronic communication field, a kind of frame synchronization and carrier wave frequency deviation associated detecting method and device are disclosed.In the present invention, by the way that frame synchronization estimation and Nonlinear Transformation in Frequency Offset Estimation have been jointly formed a positive feedback, create the function that a function is both frame synchronization point estimation deviation, it is the function of Nonlinear Transformation in Frequency Offset Estimation deviation again, realize the joint-detection of frame synchronization and carrier wave frequency deviation, and short training sequence and long training sequence are used simultaneously in joint-detection, the precision of estimation operation can be improved.Further, since present embodiment does not use the frame synchronization algorithm based on cross-correlation test, therefore, CSD is added in leader sequence to generate any influence to present embodiment, so that present embodiment can be adapted for the communication protocols such as 802.11b/g/n.Further, data packet detection is realized since present embodiment can combine, frame synchronization estimation and Nonlinear Transformation in Frequency Offset Estimation, therefore total system complexity is lower.
Description
Technical field
The present invention relates to electronic communication field, in particular to a kind of frame synchronization and carrier wave frequency deviation associated detecting method and dress
It sets.
Background technique
Based on orthogonal frequency division multiplexing (Orthogonal Frequency Division Multiplexing, abbreviation
" OFDM ") 802.11b/g/n communication protocol in, either traditional mode, high-throughput mixes (HT-mixed) mode, still
High-throughput green field (HT-greenfield) mode, requires accurately to extract frame synchronization from leader sequence and carrier frequency believes one side only
Breath.It is different from 802.11b/g agreement in order to support multi-antenna transmission, the leader sequence that 802.11n agreement is sent in different antennae
In joined different cyclic shift (CSD) to avoid unintentional beam forming effect.It can be in receiving end but CSD is added
False multipath effect is generated, so that cross-correlation test is generated multiple peak values, has severely impacted the existing frame based on cross-correlation test
The accuracy of synchronized algorithm.Although the frame synchronization algorithm based on Autocorrelation Detection is not influenced by CSD, accuracy is used alone
It is not high.Other frame synchronization algorithms, as frequency domain frame synchronization has many restrictive conditions, such as although can also eliminate the influence of CSD
It must just be used in the case where carrier wave frequency deviation has been eliminated, and computation complexity is high.
Summary of the invention
The purpose of the present invention is to provide a kind of frame synchronization and carrier wave frequency deviation associated detecting methods and device, so that frame synchronization
And the detection of carrier wave frequency deviation is not influenced by cyclic shift, and frame synchronization and carrier wave frequency deviation the combined detection, can be reduced and is
System complexity, improves precision.
In order to solve the above technical problems, embodiments of the present invention provide a kind of frame synchronization and carrier wave frequency deviation joint-detection
Method comprising the steps of:
The data packet received is detected, the repeat pattern of short sequence is obtained；Wherein, the data packet includes at least
2 duplicate long sequences in last N number of duplicate short sequence and long training sequence in short training sequence；Wherein, the N be greater than
2 natural number；
Short training sequence repeated segments are carried out with the Autocorrelation Detection of different interval, obtains Nonlinear Transformation in Frequency Offset Estimation；
Autocorrelation Detection is carried out to long training sequence repeated segments, optimizes Nonlinear Transformation in Frequency Offset Estimation with testing result；
According to the obtained carrier wave frequency deviation of estimation, the autocorrelation value of long training sequence and short training sequence different interval from phase
Pass value obtains frame synchronization point estimation departure function；
The corresponding sampled point of maximum of points of the frame synchronization point estimation departure function is found, and respectively obtain lookup
Sampled point and its corresponding Nonlinear Transformation in Frequency Offset Estimation are as optimum frame synchronous point and best carrier frequency deviation.
Embodiments of the present invention additionally provide a kind of frame synchronization and carrier wave frequency deviation joint-detection device, and include: data connect
Receive module, short series processing module, long series processing module and result output module；
The data reception module wraps for receiving data；Wherein, the data packet includes at least in short training sequence most
2 duplicate long sequences in N number of duplicate short sequence and long training sequence afterwards；Wherein, the N is the natural number greater than 2；
The short series processing module obtains the repeat pattern of short sequence for detecting to the data packet received；
And short training sequence repeated segments are carried out with the Autocorrelation Detection of different interval, obtain Nonlinear Transformation in Frequency Offset Estimation；
The long series processing module is used to carry out Autocorrelation Detection to long training sequence repeated segments, is optimized with testing result
Nonlinear Transformation in Frequency Offset Estimation；And it is same to obtain frame for the carrier wave frequency deviation obtained according to estimation, the correlation of long training sequence and long training sequence
Beans-and bullets shooter estimated bias function；
The result output module is used to find the corresponding sampling of maximum of points of the frame synchronization point estimation departure function
Point, and obtained sampled point and its corresponding Nonlinear Transformation in Frequency Offset Estimation will be searched respectively as optimum frame synchronous point and best carrier frequency
Partially.
Embodiment of the present invention in terms of existing technologies, by using short training sequence last several short sequences and
Most long training sequence carries out frame synchronization and Nonlinear Transformation in Frequency Offset Estimation, and frame synchronization estimation and Nonlinear Transformation in Frequency Offset Estimation are combined
Get up to form a positive feedback, i.e. the value of frame synchronization point estimation departure function be both frame synchronization point estimation deviation function and
It is the function of Nonlinear Transformation in Frequency Offset Estimation deviation, so that having used short training sequence and length simultaneously in frame synchronization and Nonlinear Transformation in Frequency Offset Estimation
The precision of estimation operation can be improved in training sequence.Moreover, because present embodiment does not use the frame based on cross-correlation test
Synchronized algorithm, therefore, CSD is added in leader sequence to generate any influence to present embodiment, thus present embodiment
It can be adapted for the communication protocols such as 802.11b/g/n.Further, data packet detection is realized since present embodiment can combine,
Frame synchronization estimation and Nonlinear Transformation in Frequency Offset Estimation, therefore total system complexity is lower.
In addition, obtaining the step of estimation carrier wave frequency deviation in the Autocorrelation Detection for carrying out different interval to short training sequence
Include following sub-step in rapid:
Calculate the autocorrelation value of the corresponding short tandem repeats section in each interval；
The phase for the short sequence autocorrelation value being calculated according to respectively obtains short sequence offset estimation value；
Phase unwrapping is carried out to the short sequence offset estimation value, removes phase degree of aliasing；
To the short sequence offset estimation value of the removal phase degree of aliasing, the first modifying factor is introduced, difference is included in
The Nonlinear Transformation in Frequency Offset Estimation that the autocorrelation value at interval obtains；Wherein, first modifying factor merges for weighting from different interval
The obtained offset estimation of autocorrelation value, value determines according to the interval of N and short sequence.
In addition, the autocorrelation value and short training sequence of long training sequence are not in the carrier wave frequency deviation obtained according to estimation
Include following sub-step in the step of autocorrelation value at same interval, acquisition frame synchronization point estimation departure function:
Calculate the autocorrelation value of long sequence repeated segments；
Using the Nonlinear Transformation in Frequency Offset Estimation of the short sequence, phase exhibition is carried out to the angle of the autocorrelation value of the long sequence
It opens, removes phase degree of aliasing；
To the angle of the correlation of the long sequence of the removal phase degree of aliasing, the second modifying factor is introduced, calculating is included in
The offset estimation that the autocorrelation value of long sequence obtains；Wherein, second modifying factor is obtained for weighting to merge from short sequence
Offset estimation and the offset estimation that is obtained from long sequence, value determined according to N；
Nonlinear Transformation in Frequency Offset Estimation is different with the short sequence by the autocorrelation value of the long sequence after being merged according to the weighting
The autocorrelation value at interval is adjusted to real part, obtains the frame synchronization point estimation deviation using short training sequence starting sample point as independent variable
Function；Wherein, the frame synchronization point estimation departure function is described by carrier wave frequency deviation short sequence different interval adjusted
The real part of the autocorrelation value of autocorrelation value and the long sequence multiplied by the cumulative of a weighting coefficient and；The weighting coefficient is to calculate
The ratio of accumulative frequency and accumulative frequency when the short sequence autocorrelation value of calculating when long sequence autocorrelation value.
In addition, obtaining described using short training sequence starting sample point as the frame synchronization point estimation departure function of independent variable
After step, also comprise the steps of:
Average calculating operation is carried out to the frame synchronization point estimation departure function；
In the maximum of points for the finding the frame synchronization point estimation departure function corresponding sampled point the step of, search
The corresponding sampled point of maximum of points of frame synchronization point estimation departure function after the carry out average calculating operation；
Wherein, the number of frame synchronization point estimation departure function selected by average calculating operation is carried out less than a preset value.
By the above method, frame is being carried out according to frame synchronization point estimation departure function or Nonlinear Transformation in Frequency Offset Estimation departure function
When synchronous and Nonlinear Transformation in Frequency Offset Estimation, carries out average to departure function and then carry out frame synchronization and Nonlinear Transformation in Frequency Offset Estimation, Ke Yiti
The performance of high algorithm for estimating.
Detailed description of the invention
Fig. 1 is the leader sequence schematic diagram of 802.11b/g/n communication protocol；
Fig. 2 is the flow chart of the frame synchronization of first embodiment and carrier wave frequency deviation associated detecting method according to the present invention；
Fig. 3 is the frame synchronization of third embodiment and the structural block diagram of carrier wave frequency deviation joint-detection device according to the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to each reality of the invention
The mode of applying is explained in detail.However, it will be understood by those skilled in the art that in each embodiment of the present invention,
In order to make the reader understand this application better, many technical details are proposed.But even if without these technical details and base
In the various changes and modifications of following embodiment, each claim of the application technical side claimed also may be implemented
Case.
The first embodiment of the present invention is related to a kind of frame synchronization and carrier wave frequency deviation associated detecting methods.This method application
The repeatability of the short training sequence of the leader sequence of ofdm signal and the repeatability of long training sequence, realize frame synchronization and carrier wave
The joint-detection of frequency deviation.
Before specifically describing present embodiment, the characteristics of first introducing ofdm signal.As shown in Figure 1,802.11b/
The leader sequence of g/n communication protocol includes a short training sequence and a long training sequence.When the sampling rate of ofdm system
When for 20,000,000 sampled point per second, short training sequence is made of short tandem repeats ten times of a 0.8us (16 sampled points), long instruction
Practice sequence to repeat to form for 2.5 times by the sequence of a 3.2us (64 sampled points).The first half of short training sequence is used for signal
Detection, automatic growth control and diversity selection；Latter half is used for frame synchronization and Nonlinear Transformation in Frequency Offset Estimation.In the present embodiment,
Frame synchronization and carrier wave are carried out using last N number of short sequence (16N sampled point) and most of long training sequence (128 sampled points)
Offset estimation.
In order to which present embodiment is better described, aided in illustrating using the following mark.
Assuming that the transmitter of communication equipment has T root antenna, receiver has R root antenna, last N number of in r-th of receiving antenna
The n-th+k sampled points can be used following formula and indicate in short sequence:
In formula, k is the time index of each sampled point in last N number of short sequence (16N sampled point), k 0,1,
2 ..., value among 16N-1.
htr(q) be equivalent channel from t-th of transmission antenna to r-th of receiving antenna comprising channel impulse response and
In the cyclic shift (CSD) that t-th of transmission antenna is added；Wherein, q is the time index of equivalent channel, q=0,1,2 ... Q-1,
Q is the total time length of equivalent channel.
Mod represents complementation operation；θ be because of carrier wave frequency deviation caused by phase difference between each sampled point；Nn+kIt is sampled point
The white Gaussian noise of upper superposition.
Similarly, following formula table can be used in (n+1)th 6N+K+k sampled point in the long training sequence of 128 sampled points
Show:
In formula, k is the time index of each sampled point of 128 sampled points in long training sequence, and k is 0,1,2 ...,
Value among 127；
K is the parameter that present embodiment designs to indicate convenience, and the value of K should meet:
Q-1≤K≤GI (5)
In formula, GI is the protection interval between OFDM data block；The length of GI is 8 or 16 sampled points.The recommended value of K is
GI。
From formula (1) to (4) as can be seen that the sampled point of short training sequenceEvery 16 sampled points repeat one
It is secondary, the sampled point of long training sequenceEvery 64 sampled points are repeated once.Present embodiment exactly applies this signal
Characteristic carries out the detection of frame synchronization and carrier wave frequency deviation, that is, calculates the value of n and θ.
The flow chart of frame synchronization shown in Fig. 2 and carrier wave frequency deviation associated detecting method is please referred to, present embodiment specifically includes
Following steps:
Step 201, the data packet received is detected, obtains the repeat pattern of short sequence.
Specifically, 16 auto-correlation is divided into first calculating sampled point to every receiving antenna, as following formula indicates:
In formula, r is the index of receiving antenna, 1 to value between R.
The autocorrelation value that R root receiving antenna calculates is added up again:
Then the reception power P of r root antenna is calculatedr,S(n), and the power of R root antenna is added up and obtains total received power
PS(n):
According to each antenna each n autocorrelation value, the reception power of each antenna and R root antenna
A normalized value ρ (n) is calculated in total received power:
In formula, the value range of ρ (n) is between 0 to 1: when 802.11 signal, ρ (n) is close to 0；Work as presence
802.11 signals and when not having noise, ρ (n) is close to 1.If continuous NSThe value of secondary ρ (n) is all larger than the threshold value A of settingS, then recognize
To detect 802.11 data packets.
Step 202, short training sequence repeated segments are carried out with the Autocorrelation Detection of different interval, obtains Nonlinear Transformation in Frequency Offset Estimation.
Specifically, following operation is carried out to each n, until continuous N after detecting 802.11 data packetsESecondary ρ
(n) value is respectively less than the threshold value A setE, terminate detection short training sequence.
Firstly, the auto-correlation for being 16i to sampled point counting period of each receiving antenna, then R root receiving antenna is calculated
Autocorrelation value add up:
In formula, 16i is autocorrelative interval, and i is 2 to value between N-1.
Respectively according to the phase of the autocorrelation value for the short sequence different interval being calculated, short sequence offset estimation is obtained
Value；Specifically, first according to Y1(n) phase carries out offset estimation:
In formula, ∠ expression takes phase, TSIt is the sampling period.
To Yi(n), i=2 ..., N-1, phase carry out phase unwrapping (or referred to as phase unwrapping, unwrapping),
Remove phase degree of aliasing:
In formula, round indicates the operation that rounds up.
To the short sequence offset estimation value of removal phase degree of aliasing, the first modifying factor is introduced, different interval is included in
The obtained offset estimation of autocorrelation value:
In formula, the first modifying factor aiIt is a parameter of present embodiment design, merges for weighting from different interval
The obtained offset estimation of autocorrelation value, aiRecommended value are as follows:
In practical application this method, need to save n, Yi(n), i=1,2, N-1, PS(n), and fN-1(n), it remains subsequent
Use when handling long training sequence.
Step 203, Autocorrelation Detection is carried out to long training sequence repeated segments, optimizes Nonlinear Transformation in Frequency Offset Estimation with testing result,
And the carrier wave frequency deviation obtained according to estimation, the autocorrelation value of long training sequence and the autocorrelation value of short training sequence different interval,
Obtain frame synchronization point estimation departure function
Specifically, to the n that each is saved, when receiving sampled point zr,n+16N+K+127Afterwards, it is meant that long training sequence is
It receives.Following operation is carried out to long training sequence:
Firstly, the auto-correlation for being 64 to sampled point counting period of each receiving antenna, then R root receiving antenna is calculated
Autocorrelation value adds up:
Using the estimation carrier wave frequency deviation f of short sequenceN-1(n), phase unwrapping is carried out to the phase of long sequence autocorrelation value, gone
Except phase degree of aliasing；
To the phase of the autocorrelation value of the long sequence repeated segments of removal phase degree of aliasing, the second modifying factor is introduced, is calculated
It is included in the offset estimation that the autocorrelation value of long sequence obtains:
In formula, the second modifying factor aLIt is a parameter of present embodiment design, is obtained for weighting to merge from short sequence
To offset estimation and the offset estimation that is obtained from long sequence, aLRecommended value are as follows:
Offset estimation after being merged according to weighting, by the autocorrelation value of the autocorrelation value of long sequence and short sequence different interval
It is adjusted to real part, and weights merging and obtains the frame synchronization point estimation departure function using n as independent variable:
In formula, frame synchronization point estimation departure function is autocorrelation value and the long sequence of frequency deviation short sequence adjusted from phase
The real part of pass value multiplied by the cumulative of a weighting coefficient and.Wherein, Re [] expression takes real part；Weighting coefficient ωLIt is present embodiment
One parameter of design, it is proposed that value are as follows:
In above formula, 64 be accumulative frequency when calculating long sequence autocorrelation value, and 8N (N-1) is to calculate short sequence autocorrelation value
When accumulative frequency.
Step 204, the corresponding n of maximum of points for finding frame synchronization point estimation departure function, using the sampled point as best
Frame synchronization point, and using the corresponding estimation carrier wave frequency deviation of n as best carrier frequency deviation.
Specifically, from formula (20) as can be seen that FS(n) function for being n, works as FS(n) when being maximized, correspondence is obtained
One n, present embodiment are formulated using this n as optimum frame synchronous point are as follows:
Correspondingly, carrier wave frequency deviation is
So far, present embodiment realizes the joint-detection of frame synchronization and carrier wave frequency deviation.
Compared with prior art, the method for present embodiment is due to joining together frame synchronization estimation and Nonlinear Transformation in Frequency Offset Estimation
Form a positive feedback, i.e. FS(n) value is both the function and Nonlinear Transformation in Frequency Offset Estimation deviation of frame synchronization point estimation deviation
Function.When frame synchronization point is far from Best Point, the estimation of carrier wave frequency deviation also will appear relatively large deviation, this deviation and frame synchronization point
F can be greatly reduced in deviation togetherS(n) value；Conversely, when frame synchronization point is close to Best Point, the accuracy of Nonlinear Transformation in Frequency Offset Estimation
Also it will increase, to greatly improve FS(n) value.Therefore, present embodiment, which can reach, is examined much higher than existing based on auto-correlation
The estimated accuracy of the frame synchronization algorithm of survey.Moreover, in frame synchronization and Nonlinear Transformation in Frequency Offset Estimation simultaneously used short training sequence and
The precision of estimation operation can be improved compared to the existing algorithm for having only used long training sequence in long training sequence.
Further, since present embodiment does not use the frame synchronization algorithm based on cross-correlation test, therefore, in leader sequence
Middle addition CSD will not generate any influence to present embodiment, lead to so that present embodiment can be adapted for 802.11b/g/n etc.
Believe agreement.Further, data packet detection is realized since present embodiment can combine, frame synchronization estimation and Nonlinear Transformation in Frequency Offset Estimation,
Therefore total system complexity is lower.
In addition, it is worth noting that, present embodiment is applied to carry out frame synchronization and Nonlinear Transformation in Frequency Offset Estimation in receiver, and
It will be understood by a person skilled in the art that existing frame synchronization and Nonlinear Transformation in Frequency Offset Estimation are in order to realize quick detection, it is by hard
What part circuit was realized, so present embodiment is not simple mathematic calculation, and need to combine hard-wired.
Second embodiment of the present invention is related to a kind of frame synchronization and carrier wave frequency deviation associated detecting method.Second embodiment
It is further improved on the basis of first embodiment, mainly thes improvement is that: in second embodiment of the invention,
It is right when carrying out frame synchronization and Nonlinear Transformation in Frequency Offset Estimation according to frame synchronization point estimation departure function or Nonlinear Transformation in Frequency Offset Estimation departure function
Departure function carries out average and then carries out frame synchronization and Nonlinear Transformation in Frequency Offset Estimation, and the performance of algorithm for estimating can be improved.
Specifically, carrying out average calculating operation to frame synchronization point estimation departure function, wherein carry out selected by average calculating operation
The number L of frame synchronization point estimation departure function is less than a preset value.That is, to FS(n) following average calculating operation is carried out:
In formula, L is a parameter of present embodiment design, and the value of L should meet:
So, in the present embodiment, optimum frame synchronous point are as follows:
Correspondingly, carrier wave frequency deviation is
The step of various methods divide above, be intended merely to describe it is clear, when realization can be merged into a step or
Certain steps are split, multiple steps are decomposed into, as long as comprising identical logical relation, all in the protection scope of this patent
It is interior；To adding inessential modification in algorithm or in process or introducing inessential design, but its algorithm is not changed
Core design with process is all in the protection scope of the patent.
Third embodiment of the invention is related to a kind of frame synchronization and carrier wave frequency deviation joint-detection device, as shown in figure 3, packet
Contain: data reception module, short series processing module, long series processing module and result output module.
Wherein, data reception module wraps for receiving data.Data packet in present embodiment includes at least Short Training sequence
2 duplicate long sequences in column in last N number of duplicate short sequence and long training sequence；Wherein, N is the natural number greater than 2.
Short series processing module obtains the repeat pattern of short sequence for detecting to the data packet received；And it is right
Short training sequence repeated segments carry out the Autocorrelation Detection of different interval, obtain Nonlinear Transformation in Frequency Offset Estimation.
Short series processing module further includes: the first auto-correlation submodule, offset estimation submodule, first phase expansion
Submodule, the first frequency deviation correct submodule.First auto-correlation submodule is for calculating the corresponding short tandem repeats in each interval
The autocorrelation value of section.Offset estimation submodule for according to the phase for the short sequence autocorrelation value being calculated, obtaining short respectively
Sequence offset estimation value.First phase is unfolded submodule and is used to carry out phase unwrapping to short sequence offset estimation value, removes phase
Degree of aliasing.First frequency deviation corrects submodule and is used to introduce the first amendment to the short sequence offset estimation value for removing phase degree of aliasing
The factor is included in the Nonlinear Transformation in Frequency Offset Estimation that the autocorrelation value of different interval obtains；Wherein, the first modifying factor is closed for weighting
And the offset estimation obtained from the autocorrelation value of different interval, value are determined according to the interval of N and short tandem repeats section.
Long series processing module is used to carry out Autocorrelation Detection to long training sequence repeated segments, optimizes carrier wave with testing result
Offset estimation；And according to the obtained carrier wave frequency deviation of estimation, the autocorrelation value of long training sequence and short training sequence different interval
Autocorrelation value obtains frame synchronization point estimation departure function.
Long series processing module further includes: the second auto-correlation submodule, and submodule, the second frequency deviation is unfolded in second phase
It corrects submodule and departure function generates submodule.Second auto-correlation submodule calculates long sequence for obtaining long sequence repeated segments
The autocorrelation value of column repeated segments.The estimation carrier wave frequency deviation that submodule is used to use short sequence is unfolded in second phase, to long sequence weight
The phase of the autocorrelation value of multiple section carries out phase unwrapping, removes phase degree of aliasing.Second frequency deviation is corrected submodule and is used for removal
The phase of the autocorrelation value of the long sequence of phase degree of aliasing introduces the second modifying factor, is included in the autocorrelation value of long sequence
Obtained offset estimation；Wherein, the second modifying factor is used to weight the offset estimation that obtains from short sequence of merging and from long sequence
Obtained offset estimation, value are determined according to N.Departure function generates the carrier wave frequency deviation after submodule is used to merge according to weighting
The autocorrelation value of the autocorrelation value of long sequence and short sequence different interval is adjusted to real part by estimation, obtains rising with short training sequence
Beginning sampled point is the frame synchronization point estimation departure function of independent variable；Wherein, frame synchronization point estimation departure function is by carrier frequency
The real part of the autocorrelation value of the autocorrelation value and long sequence of short sequence different interval partially adjusted is multiplied by the tired of a weighting coefficient
Adduction；Accumulative frequency when weighting coefficient is the accumulative frequency and calculating short sequence autocorrelation value when calculating long sequence autocorrelation value
Ratio.
As a result output module is used to find the corresponding sampled point of maximum of points of frame synchronization point estimation departure function, and respectively
Obtained sampled point and its corresponding Nonlinear Transformation in Frequency Offset Estimation will be searched as optimum frame synchronous point and best carrier frequency deviation.
It is not difficult to find that present embodiment is system embodiment corresponding with first embodiment, present embodiment can be with
First embodiment is worked in coordination implementation.The relevant technical details mentioned in first embodiment still have in the present embodiment
Effect, in order to reduce repetition, which is not described herein again.Correspondingly, the relevant technical details mentioned in present embodiment are also applicable in
In first embodiment.
It is noted that each module involved in present embodiment is logic module, and in practical applications, one
A logic unit can be a physical unit, be also possible to a part of a physical unit, can also be with multiple physics lists
The combination of member is realized.In addition, in order to protrude innovative part of the invention, it will not be with solution institute of the present invention in present embodiment
The technical issues of proposition, the less close unit of relationship introduced, but this does not indicate that there is no other single in present embodiment
Member.
Four embodiment of the invention is related to a kind of frame synchronization and carrier wave frequency deviation joint-detection device.4th embodiment exists
It is further improved on the basis of third embodiment, mainly thes improvement is that: in four embodiment of the invention, in root
When carrying out frame synchronization and Nonlinear Transformation in Frequency Offset Estimation according to frame synchronization point estimation departure function or Nonlinear Transformation in Frequency Offset Estimation departure function, to inclined
Difference function carries out average and then carries out frame synchronization and Nonlinear Transformation in Frequency Offset Estimation, and the performance of algorithm for estimating can be improved.
Specifically, frame synchronization and carrier wave frequency deviation joint-detection device also include average calculating operation module.The average calculating operation mould
The frame synchronization point estimation departure function that block is used to obtain submodule carries out average calculating operation；Wherein, it carries out selected by average calculating operation
Frame synchronization point estimation departure function number less than a preset value.As a result after output module is also used to search progress average calculating operation
Frame synchronization point estimation departure function the corresponding sampled point of maximum of points.
Since second embodiment is corresponded to each other with present embodiment, present embodiment can be mutual with second embodiment
Match implementation.The relevant technical details mentioned in second embodiment are still effective in the present embodiment, implement second
The attainable technical effect of institute similarly may be implemented in the present embodiment in mode, no longer superfluous here in order to reduce repetition
It states.Correspondingly, the relevant technical details mentioned in present embodiment are also applicable in second embodiment.
It will be understood by those skilled in the art that the respective embodiments described above are to realize specific embodiments of the present invention,
And in practical applications, can to it, various changes can be made in the form and details, without departing from the spirit and scope of the present invention.
Claims (8)
1. a kind of frame synchronization and carrier wave frequency deviation associated detecting method, which is characterized in that comprise the steps of:
The data packet received is detected, the repeat pattern of short sequence is obtained；Wherein, the data packet includes at least short training
Practice in sequence 2 duplicate long sequences in last N number of duplicate short sequence and long training sequence；Wherein, the N is greater than 2
Natural number；
Short training sequence repeated segments are carried out with the Autocorrelation Detection of different interval, obtains Nonlinear Transformation in Frequency Offset Estimation；
Autocorrelation Detection is carried out to long training sequence repeated segments, optimizes Nonlinear Transformation in Frequency Offset Estimation with testing result；
According to the carrier wave frequency deviation that estimation obtains, the autocorrelation value of long training sequence and the auto-correlation of short training sequence different interval
Value obtains frame synchronization point estimation departure function；Wherein, the frame synchronization point estimation departure function is after carrier wave frequency deviation adjusts
Short sequence different interval autocorrelation value and the long sequence autocorrelation value real part multiplied by the cumulative of a weighting coefficient and；
The accumulative frequency when weighting coefficient is the accumulative frequency and calculating short sequence autocorrelation value when calculating long sequence autocorrelation value
Ratio；
Find the corresponding sampled point of maximum of points of the frame synchronization point estimation departure function, and will search obtained sampled point and
Its corresponding Nonlinear Transformation in Frequency Offset Estimation is as optimum frame synchronous point and best carrier frequency deviation.
2. frame synchronization according to claim 1 and carrier wave frequency deviation associated detecting method, which is characterized in that described to short training
Include following sub-step in the step of practicing the Autocorrelation Detection that sequence repeated segments carry out different interval, obtaining Nonlinear Transformation in Frequency Offset Estimation:
Calculate the autocorrelation value of the corresponding short tandem repeats section in each interval；
The phase for the short sequence autocorrelation value being calculated according to respectively obtains short sequence offset estimation value；
Phase unwrapping is carried out to the short sequence offset estimation value, removes phase degree of aliasing；
To the short sequence offset estimation value of the removal phase degree of aliasing, the first modifying factor is introduced, different interval is included in
The obtained Nonlinear Transformation in Frequency Offset Estimation of autocorrelation value；Wherein, first modifying factor be used for weight merge from different interval oneself
The offset estimation that correlation obtains, value are determined according to the interval of N and short sequence.
3. frame synchronization according to claim 1 and carrier wave frequency deviation associated detecting method, which is characterized in that estimate in the basis
Obtained carrier wave frequency deviation, the autocorrelation value of long training sequence and the autocorrelation value of short training sequence different interval are counted, it is same to obtain frame
Include following sub-step in the step of beans-and bullets shooter estimated bias function:
Calculate the autocorrelation value of long sequence repeated segments；
Using the Nonlinear Transformation in Frequency Offset Estimation of the short sequence, phase unwrapping is carried out to the phase of the autocorrelation value of the long sequence, is gone
Except phase degree of aliasing；
To the phase of the autocorrelation value of the long sequence of the removal phase degree of aliasing, the second modifying factor is introduced, length is included in
The offset estimation that the autocorrelation value of sequence obtains；Wherein, second modifying factor is used to weight what merging was obtained from short sequence
Offset estimation and the offset estimation obtained from long sequence, value are determined according to N；
Nonlinear Transformation in Frequency Offset Estimation is by the autocorrelation value of the long sequence and the short sequence different interval after being merged according to the weighting
Autocorrelation value be adjusted to real part, obtain the frame synchronization point estimation deviation letter using short training sequence starting sample point as independent variable
Number.
4. frame synchronization according to claim 3 and carrier wave frequency deviation associated detecting method, which is characterized in that it is described obtain with
After the step of short training sequence starting sample point is the frame synchronization point estimation departure function of independent variable, also comprise the steps of:
Average calculating operation is carried out to the frame synchronization point estimation departure function；
In the maximum of points for the finding the frame synchronization point estimation departure function corresponding sampled point the step of, described in lookup
The corresponding sampled point of maximum of points of frame synchronization point estimation departure function after carrying out average calculating operation；
Wherein, the number of frame synchronization point estimation departure function selected by average calculating operation is carried out less than a preset value.
5. a kind of frame synchronization and carrier wave frequency deviation joint-detection device are, characterized by comprising: data reception module, at short sequence
Manage module, long series processing module and result output module；
The data reception module wraps for receiving data；Wherein, the data packet includes at least last N number of in short training sequence
2 duplicate long sequences in duplicate short sequence and long training sequence；Wherein, the N is the natural number greater than 2；
The short series processing module obtains the repeat pattern of short sequence for detecting to the data packet received；And it is right
Short training sequence repeated segments carry out the Autocorrelation Detection of different interval, obtain Nonlinear Transformation in Frequency Offset Estimation；
The long series processing module is used to carry out Autocorrelation Detection to long training sequence repeated segments, optimizes carrier wave with testing result
Offset estimation；And according to the obtained carrier wave frequency deviation of estimation, the autocorrelation value of long training sequence and short training sequence different interval
Autocorrelation value obtains frame synchronization point estimation departure function；Wherein, the frame synchronization point estimation departure function is by carrier wave frequency deviation
The real part of the autocorrelation value of the autocorrelation value and long sequence of short sequence different interval adjusted is multiplied by a weighting coefficient
It is cumulative and；It is tired when the weighting coefficient is the accumulative frequency and calculating short sequence autocorrelation value when calculating long sequence autocorrelation value
Add the ratio of number；
The result output module is used to find the corresponding sampled point of maximum of points of the frame synchronization point estimation departure function, and
Obtained sampled point and its corresponding Nonlinear Transformation in Frequency Offset Estimation will be searched respectively as optimum frame synchronous point and best carrier frequency deviation.
6. frame synchronization according to claim 5 and carrier wave frequency deviation joint-detection device, which is characterized in that at the short sequence
Reason module includes: the first auto-correlation submodule, offset estimation submodule, and submodule, the first frequency deviation amendment is unfolded in first phase
Module；
The first auto-correlation submodule is used to calculate the autocorrelation value of the corresponding short tandem repeats section in each interval；
The phase for the short sequence autocorrelation value that the offset estimation submodule is used to be calculated according to respectively, obtains short sequence
Column offset estimation value；
The first phase expansion submodule is used to carry out the short sequence offset estimation value phase unwrapping, and removal phase is obscured
Degree；
The first frequency deviation amendment submodule is used to introduce first to the short sequence offset estimation value of the removal phase degree of aliasing
Modifying factor is included in the Nonlinear Transformation in Frequency Offset Estimation that the autocorrelation value of different interval obtains；Wherein, first modifying factor is used
Merge the offset estimation that obtains from the autocorrelation value of different interval in weighting, value is according to the interval of N and short tandem repeats section
It determines.
7. frame synchronization according to claim 5 and carrier wave frequency deviation joint-detection device, which is characterized in that at the long sequence
Reason module includes: the second auto-correlation submodule, and submodule is unfolded in second phase, and the second frequency deviation corrects submodule and departure function is raw
At submodule；
The second auto-correlation submodule is used to calculate the autocorrelation value of long sequence repeated segments；
Second phase expansion submodule is used for the estimation carrier wave frequency deviation using the short sequence, to the long sequence from phase
The phase of pass value carries out phase unwrapping, removes phase degree of aliasing；
The second frequency deviation amendment submodule is used for the phase of the autocorrelation value of the long sequence to the removal phase degree of aliasing, draws
Enter the second modifying factor, is included in the offset estimation that the autocorrelation value of long sequence obtains；Wherein, second modifying factor is used
Merge the offset estimation obtained from short sequence and the offset estimation obtained from long sequence in weighting, value is determined according to N；
The departure function generates the Nonlinear Transformation in Frequency Offset Estimation after submodule is used to merge according to the weighting for the long sequence
The autocorrelation value of autocorrelation value and the short sequence different interval is adjusted to real part, obtain be with short training sequence starting sample point
The frame synchronization point estimation departure function of independent variable.
8. frame synchronization according to claim 7 and carrier wave frequency deviation joint-detection device, which is characterized in that the frame synchronization and
Carrier wave frequency deviation joint-detection device also includes average calculating operation module；
The frame synchronization point estimation departure function that the average calculating operation module is used to obtain the submodule carries out average calculating operation；Its
In, the number of frame synchronization point estimation departure function selected by average calculating operation is carried out less than a preset value；
The result output module is also used to search the maximum of the frame synchronization point estimation departure function after the progress average calculating operation
The corresponding sampled point of value point.
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