CN102901953B - A kind of relevant peaks sharpening method and device - Google Patents
A kind of relevant peaks sharpening method and device Download PDFInfo
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- CN102901953B CN102901953B CN201210377014.6A CN201210377014A CN102901953B CN 102901953 B CN102901953 B CN 102901953B CN 201210377014 A CN201210377014 A CN 201210377014A CN 102901953 B CN102901953 B CN 102901953B
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Abstract
The invention discloses a kind of relevant peaks sharpening method, including：The self correlated peak of A, acquisition source signal, and normalized is done to the self correlated peak；B, computing cross-correlation is carried out to source signal and reflected signal corresponding with source signal, obtain cross-correlation peak, the peak-peak at selection cross-correlation peak is to sharpen peak value；C, it is current sharpen peak value and meet sharpening condition when, current cross-correlation peak is sharpened according to the current self correlated peak sharpened after peak value and the normalization, and record the position of the sharpening peak value；D, using the cross-correlation peak after sharpening as current cross-correlation peak, and select in the current cross-correlation peak except the record sharpen peak in addition to the peak-peak located as peak value is sharpened, perform step C；The relevant peaks sharpening method that the embodiment of the present application is provided, solves each reflected signal and interferes, and the relevant peaks of the relatively low pip of power are covered by the relevant peaks secondary lobe of the larger pip of power, so as to the problem of each trouble point cannot be told.
Description
Technical field
The application is related to field of measuring technique, more particularly to a kind of relevant peaks sharpening method and device.
Background technology
In current generic failure（Such as cable fault）Positioning（Distance positioning）In realization, by signal generating source to treating
Survey object and send signal specific, and gather the reflected signal of object under test and analyze the feature of object under test.
During analysis, to source signal（The signal specific for sending）Computing cross-correlation is carried out with reflected signal, is passed through
Analyzing the relevant peaks of the two signals can obtain trouble point to the information such as distance and phase amplitude of signal generating source, but
It is, when object under test there are more than one pip（Trouble point）, and each point reflection signal power difference is larger, range difference compared with
Hour, each reflected signal is interfered, and the relevant peaks of the relatively low pip of power are by the relevant peaks of the larger pip of power
Secondary lobe is covered, it is impossible to accurately determine the position of each trouble point.
The content of the invention
In order to solve the above technical problems, the embodiment of the present application provides a kind of relevant peaks sharpening method and device, solved because
Each reflected signal is interfered and cannot tell the problem of each trouble point.
Technical scheme is as follows：
A kind of relevant peaks sharpening method, including：
The self correlated peak of A, acquisition source signal, and normalized is done to the self correlated peak；
B, computing cross-correlation is carried out to the source signal and reflected signal corresponding with the source signal, obtain cross-correlation
Peak, selects the peak-peak at the cross-correlation peak to sharpen peak value；
C, it is current sharpen peak value and meet sharpening condition when, according to the current auto-correlation sharpened after peak value and the normalization
Peak is sharpened to current cross-correlation peak, and records the position of the sharpening peak value；
D, using the cross-correlation peak after sharpening as current cross-correlation peak, and select in the current cross-correlation peak except the note
The peak-peak located beyond the sharpening peak of record performs step C as peak value is sharpened.
The above method, it is preferred that be sharpened to the current cross-correlation peak according to equation below：
corr_seq1=corr_seq0-（P*canc_seq）/N；
Wherein, corr_seq1 is the cross-correlation peak after sharpening；Corr_seq0 is current cross-correlation peak；P is current sharpening
Peak value；Canc_seq is the self correlated peak after normalization；N is the peak-peak of the self correlated peak after the normalization.
The above method, it is preferred that the current sharpening peak value meets sharpening condition to be included：
The current peak value that sharpens is compared with default detection threshold, when the current sharpening peak value is more than the detection
During thresholding, the current sharpening peak value meets sharpening condition.
The above method, it is preferred that also include：
When the sharpening peak value is unsatisfactory for sharpening condition, current cross-correlation peak is exported.
A kind of relevant peaks sharpening device, including：
Normalization module, the self correlated peak for obtaining source signal, and normalized is done to the self correlated peak；
Computing module, for carrying out computing cross-correlation to the source signal and reflected signal corresponding with the source signal,
Cross-correlation peak is obtained, and selects the peak-peak at the cross-correlation peak to sharpen peak value；
Sharpening module, for step C, when current sharpening peak value meets sharpening condition, peak value and institute is sharpened according to current
State the self correlated peak after normalization to be sharpened current cross-correlation peak, and record the current position for sharpening peak value；Step D, will
Cross-correlation peak after sharpening will sharpen peak value position in the current cross-correlation peak of the record as current cross-correlation peak except described
The peak-peak located in addition is put as peak value is sharpened, step C is performed.
Said apparatus, it is preferred that the sharpening module includes：
Comparing unit, for the current peak value that sharpens to be compared with default detection threshold；
Computing unit, for when the comparing unit compare it is described sharpening peak value be more than the detection threshold when, foundation
Following formula is sharpened to the first cross-correlation peak：
corr_seq1=corr_seq0-（P*canc_seq）/N；
Wherein, corr_seq1 is the cross-correlation peak after sharpening；Corr_seq0 is current cross-correlation peak；P is current sharpening
Peak value；Canc_seq is the self correlated peak after normalization；N is the peak-peak of the self correlated peak after the normalization；
Select unit, for using the cross-correlation peak after sharpening as current cross-correlation peak, and by the record it is current mutually
The peak-peak located in addition to the sharpening peak in relevant peaks is used as sharpening peak value.
Said apparatus, it is preferred that also include：
Output module, for when the sharpening peak value is unsatisfactory for sharpening condition, exporting the current cross-correlation peak.
The technical scheme provided from above the embodiment of the present application, the present invention provide a kind of relevant peaks sharpening method and
Device, by obtaining the self correlated peak of source signal, and in the maximum at source signal and the cross-correlation peak of corresponding reflected signal
When peak value meets default sharpening condition, according to after the first cross-correlation peak, the peak-peak and the normalization from
Relevant peaks are sharpened to the first cross-correlation peak, solve each reflected signal and interfere, the relatively low pip of power
Relevant peaks covered by the relevant peaks secondary lobe of the larger pip of power, so as to the problem of each trouble point cannot be told.
Brief description of the drawings
In order to illustrate more clearly of the technical scheme in the embodiment of the present application, below will be to embodiment or description of the prior art
Needed for the accompanying drawing to be used be briefly described, it should be apparent that, drawings in the following description are only described in the application
Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
These accompanying drawings obtain other accompanying drawings.
A kind of flow chart of relevant peaks sharpening method that Fig. 1 is provided for the embodiment of the present application；
The flow chart of another relevant peaks sharpening method that Fig. 2 is provided for the embodiment of the present application；
The self correlated peak of the source signal that Fig. 3 is provided for the embodiment of the present application；
The cross-correlation peak of the source signal that Fig. 4 is provided for the embodiment of the present application and reflected signal；
The partial enlarged drawing at the cross-correlation peak shown in Fig. 4 that Fig. 5 is provided for the embodiment of the present application；
Cross-correlation peak after the first time sharpening that Fig. 6 is provided for the embodiment of the present application；
The partial enlarged drawing at the cross-correlation peak shown in Fig. 6 that Fig. 7 is provided for the embodiment of the present application；
Cross-correlation after second sharpening that Fig. 8 is provided for the embodiment of the present application；
A kind of structural representation of relevant peaks sharpening device that Fig. 9 is provided for the embodiment of the present application；
The structural representation of another middle relevant peaks sharpening device that Figure 10 is provided for the embodiment of the present application.
For simplicity and clarity of illustration, the figures above shows the common form of structure, and in order to avoid unnecessary
The fuzzy present invention, it is convenient to omit the description of known features and technology and details.In addition, unit in accompanying drawing it is unnecessary according to than
Example is drawn.For example, can be relative to the size of some units in other unit enlarged drawings, so as to help be better understood from this hair
Bright embodiment.Identical label in different accompanying drawings represents identical unit.
Term " first ", " second ", " the 3rd " " 4th " in specification and claims and above-mentioned accompanying drawing etc.（If
In the presence of）It is for distinguishing similar unit, without for describing specific order or precedence.It should be appreciated that so using
Data can exchange in the appropriate case, so that embodiments of the invention described herein for example can be with except scheming herein
The order beyond those that is showing or otherwise describing is implemented.Additionally, term " comprising " and " having " and their any deformation,
Be intended to covering it is non-exclusive include, so that a series of process comprising units, method, system, product or equipment need not be limited
In those units, and can be including not listing clearly or for these processes, method, product or intrinsic its of equipment
Its unit.
Specific embodiment
In order that those skilled in the art more fully understand application scheme.Below in conjunction with the embodiment of the present application
Accompanying drawing, is clearly and completely described to the technical scheme in the embodiment of the present application, it is clear that described embodiment is only
Some embodiments of the present application, rather than whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, should all belong to the scope of the application protection.
The embodiment of the present application provide a kind of relevant peaks sharpening method flow chart as shown in figure 1, including：
Step S101：The self correlated peak of source signal is obtained, and normalized is done to the self correlated peak；
In this step, auto-correlation computation is done to source signal, obtain the self correlated peak of source signal, to the self correlated peak of source signal
Do normalized；
Preferably, self correlated peak can be normalized using following methods：
By the amplitude of self correlated peak divided by a preset value；This preset value can be the peak of the maximum peak of self correlated peak
Value, naturally it is also possible to be other values, be not specifically limited here.
That is, when being normalized to self correlated peak, the peak-peak of the self correlated peak after normalization can be
1, it is also possible to be not 1.
Step S102：Computing cross-correlation is carried out to the source signal and reflected signal corresponding with the source signal, is obtained
Cross-correlation peak, selects the peak-peak at the cross-correlation peak to sharpen peak value；
Signal specific is sent by object under test（That is source signal）To gather the reflected signal of object under test, to source signal
Carry out computing cross-correlation with reflected signal, obtain the cross-correlation peak of source signal and reflected signal, the signal specific can be with
Machine generation.
Step S103：When current sharpening peak value meets sharpening condition, after current sharpening peak value and the normalization
Self correlated peak current cross-correlation peak is sharpened, and record it is described sharpening peak value position；
Preferably, the current peak value that sharpens can be compared with default detection threshold, if the current sharpening peak
Value is more than the detection threshold, then illustrate that the current sharpening peak value meets sharpening condition, otherwise, illustrates the current sharpening peak
Value is unsatisfactory for sharpening condition.Preferably, when current sharpening peak value meets sharpening condition, can be according to formula（1）To current mutual
Relevant peaks are sharpened：
corr_seq1=corr_seq0-（P*canc_seq）/N；（1）
Wherein, corr_seq1 is the cross-correlation peak after sharpening；Corr_seq0 is current cross-correlation peak；P is current sharpening
Peak value；Canc_seq is the self correlated peak after normalization；N is the peak-peak of the self correlated peak after the normalization.
Preferably, when the peak-peak of self correlated peak after normalization is 1, can also be according to following formula to current cross-correlation
Peak is sharpened：
corr_seq1=corr_seq0-P*canc_seq；（2）
Wherein, corr_seq1 is the cross-correlation peak after sharpening；Corr_seq0 is current cross-correlation peak；P is current sharpening
Peak value；Canc_seq is the self correlated peak after normalization；
When being sharpened, the amplitude in self correlated peak and cross-correlation peak at same position is sharpened computing.
Step S104：Using the cross-correlation peak after sharpening as current cross-correlation peak, and will be removed in the current cross-correlation peak
The peak-peak located beyond the sharpening peak of the record performs step S103 as peak value is sharpened.
From the cross-correlation peak after sharpening, the peak-peak that selection is located in addition to the sharpening peak position of foregoing record is made
It is new sharpening peak value, i.e., current to sharpen peak value, then repeat step S103, sharpening condition is unsatisfactory for until currently sharpening peak value
Untill.A kind of relevant peaks sharpening method that the embodiment of the present application is provided, by obtaining the self correlated peak of source signal, and in source signal
When cross-correlation peak with corresponding reflected signal meets default sharpening condition, according to the peak-peak at the cross-correlation peak
With after the normalization from
Relevant peaks are sharpened to the cross-correlation peak, solve each reflected signal and interfere, relatively low anti-of power
The relevant peaks of exit point are covered by the relevant peaks secondary lobe of the larger pip of power, so as to asking for each trouble point cannot be told
Topic.
Refer to Fig. 2, the flow chart of another relevant peaks sharpening method that Fig. 2 is provided for the embodiment of the present application, including：
Step S201：The self correlated peak of source signal is obtained, and normalized is done to the self correlated peak；
Step S202：Computing cross-correlation is carried out to the source signal and reflected signal corresponding with the source signal, is obtained
Cross-correlation peak, selects the peak-peak at the cross-correlation peak to sharpen peak value；
Step S203：Judge it is current sharpen whether peak value meets sharpening condition, it is if it is, perform step S204, i.e., right
Current cross-correlation peak is sharpened；If it is not, then performing step S205, that is, export current cross-correlation peak；
Step S204：Current cross-correlation peak is carried out according to the current self correlated peak sharpened after peak value and the normalization sharp
Change, and record the position of the sharpening peak value
Step S205：Export current cross-correlation peak；
In order to illustrate the validity of this programme, this programme is verified with instantiation below：
It should be noted that the ordinate of all figures provided in this example is all non-normalized value；In each figure,
Abscissa is the time, specially the sampling period number of data, for example, in Fig. 3, abscissa 4000 means that the 4000th sampling week
Phase, it is assumed that the sampling period is 10ns, then, abscissa 4000 means that the time is 4000*10ns=0.00004s；Ordinate is
Relevant peaks（Including self correlated peak and cross-correlation peak）Range value.
The relevant peaks sharpening method verified on intermodulation testing instrument, and two pips are added on device under test（Failure
Point）, respectively the first pip and the second pip；Wherein, the reflection of the pip of echo power ratio second of the first pip
The loopback of the small 50dB of power, the first pip and the second pip postpones to be separated by 30 sampling periods；In this example, detection threshold
It is 20dB（It is non-normalized）；
In this example, the signal specific launched（That is source signal）The a width of 10MHz of band, sample frequency is 245.76MHz,
Auto-correlation computation is carried out to it, self correlated peak is obtained, as shown in Figure 3；
Launch the signal specific to the first pip and the second pip simultaneously（That is source signal）, reflected signal is obtained,
And the cross-correlation peak of source signal and reflected signal is calculated, as shown in Figure 4；
For ease of observation, Fig. 5 is refer to, Fig. 5 is the partial enlarged drawing at the cross-correlation peak shown in Fig. 4, and that it amplifies is Fig. 4
Figure around the peak-peak at shown cross-correlation peak；
As seen from Figure 5, main peak（That is the peak of amplitude maximum）20dB or so is only higher by than correlation bottom of making an uproar, completely cannot be true
Fixed second reflected signal（It is probably the reflected signal of the first pip, it is also possible to second reflected signal of point）Position
And amplitude.
In the cross-correlation peak shown in Fig. 4, peak-peak is about 82dB, and its position is 8445, using formula（1）, foundation
Self correlated peak shown in the peak-peak and Fig. 3 carries out first time sharpening to the cross-correlation peak shown in Fig. 4, mutual after sharpening
Close peak as shown in Figure 6；
As can be seen that now can clearly be seen that second peak, the bottom of making an uproar at cross-correlation peak is inhibited by a 50dB left sides
It is right（That is, main peak is higher by 50dB or so than correlation bottom of making an uproar）；
Fig. 7 is refer to, Fig. 7 is the partial enlarged drawing at the cross-correlation peak shown in Fig. 6；What it amplified is mutual shown in Fig. 6
Figure in Guan Feng around peak-peak；
The peak-peak in addition to the maximum peak shown in Fig. 4 according to Fig. 6, and the self correlated peak pair shown in Fig. 3
Cross-correlation peak shown in Fig. 6 carries out second sharpening, and the partial enlarged drawing at the cross-correlation peak after sharpening is as shown in Figure 8；
Can be seen that, by after secondary sharpening, correlation bottom of making an uproar further is suppressed, it can clearly be seen that two peak values,
The peak value at one of peak is about 82dB, and its position is 8445, and the peak value at another peak is about 32dB, and position is 8475；By
Compare, it can be seen that two position relationships of maximum peak are consistent with the delay variance set on hardware, and amplitude difference is also consistent.
Prove that the relevant peaks sharpening method that the embodiment of the present application is provided is effective.
Refer to Fig. 9, a kind of structural representation of relevant peaks sharpening device that Fig. 9 is provided for the embodiment of the present application, including：
Normalization module 901, computing module 902 and sharpening module 903；Wherein,
Normalization module 901 is used to obtain the self correlated peak of source signal, and does normalized to the self correlated peak；
Computing module 902 is used to carry out cross-correlation fortune to the source signal and reflected signal corresponding with the source signal
Calculate, obtain cross-correlation peak, and select the peak-peak at the cross-correlation peak to sharpen peak value；
Sharpening module 903 is used for step S103, when current sharpening peak value meets sharpening condition, peak value is sharpened according to current
Current cross-correlation peak is sharpened with the self correlated peak after the normalization, and records the current position for sharpening peak value；Step
S104, using the cross-correlation peak after sharpening as current cross-correlation peak, and will remove described sharp in the current cross-correlation peak of the record
Change the peak-peak located beyond peak as peak value is sharpened, perform step S103；
Specifically, sharpening module 903 can include：
Comparing unit 9031, computing unit 9032 and select unit 9033；
Comparing unit 9031 is used to be compared the current peak value that sharpens with default detection threshold；
Computing unit 9032 is connected with comparing unit 9031, for comparing the sharpening peak value when the comparing unit
During more than the detection threshold, the first cross-correlation peak is sharpened according to following formula：
corr_seq1=corr_seq0-（P*canc_seq）/N；
Wherein, corr_seq1 is the cross-correlation peak after sharpening；Corr_seq0 is current cross-correlation peak；P is current sharpening
Peak value；Canc_seq is the self correlated peak after normalization；N is the peak-peak of the self correlated peak after the normalization；
Select unit 9033 is connected with comparing unit 9031 and computing unit 9032 respectively, for mutual after by sharpening
Guan Feng will locate most in the current cross-correlation peak of the record as current cross-correlation peak in addition to the sharpening peak
Big peak value is used as sharpening peak value；
Another relevant peaks that the embodiment of the present application is provided sharpen the structural representation of dress as shown in Figure 10, shown in Fig. 9
Relevant peaks sharpening device on the basis of, the embodiment of the present application provide relevant peaks sharpening device also include：
Output module 1001, for when the sharpening peak value is unsatisfactory for sharpening condition, exporting the current cross-correlation peak.
Each embodiment in this specification is described by the way of progressive, identical similar portion between each embodiment
Divide mutually referring to what each embodiment was stressed is the difference with other embodiment.The above is only this
The specific embodiment of application, it is noted that for those skilled in the art, it is former the application is not departed from
On the premise of reason, some improvements and modifications can also be made, these improvements and modifications also should be regarded as the protection domain of the application.
Claims (7)
1. a kind of relevant peaks sharpening method, it is characterised in that including：
The self correlated peak of A, acquisition source signal, and normalized is done to the self correlated peak；
B, computing cross-correlation is carried out to the source signal and reflected signal corresponding with the source signal, obtain cross-correlation peak, selected
The peak-peak at the cross-correlation peak is selected to sharpen peak value；
C, it is current sharpen peak value and meet sharpening condition when, according to the current self correlated peak pair sharpened after peak value and the normalization
Current cross-correlation peak is sharpened, and records the position of the sharpening peak value；
D, using the cross-correlation peak after sharpening as current cross-correlation peak, and select in the current cross-correlation peak except the record
The peak-peak located beyond peak is sharpened as peak value is sharpened, step C is performed.
2. method according to claim 1, it is characterised in that carried out to the current cross-correlation peak according to equation below sharp
Change：
Corr_seq1=corr_seq0- (P*canc_seq)/N；
Wherein, corr_seq1 is the cross-correlation peak after sharpening；Corr_seq0 is current cross-correlation peak；P sharpens peak value for current；
Canc_seq is the amplitude of the self correlated peak after the normalization co-located with the current cross-correlation peak；N returns for described
The peak-peak of the self correlated peak after one change.
3. method according to claim 1, it is characterised in that the current sharpening peak value meets sharpening condition to be included：
The current peak value that sharpens is compared with default detection threshold, when the current sharpening peak value is more than the detection threshold
When, the current sharpening peak value meets sharpening condition.
4. the method according to claim 1-3 any one, it is characterised in that also include：
When the sharpening peak value is unsatisfactory for sharpening condition, current cross-correlation peak is exported.
5. a kind of relevant peaks sharpening device, it is characterised in that including：
Normalization module, the self correlated peak for obtaining source signal, and normalized is done to the self correlated peak；
Computing module, for carrying out computing cross-correlation to the source signal and reflected signal corresponding with the source signal, obtains
Cross-correlation peak, and the peak-peak at the cross-correlation peak is selected to sharpen peak value；
Sharpening module, for step C, it is current sharpen peak value and meet sharpening condition when, sharpen peak value and described return according to current
Self correlated peak after one change is sharpened to current cross-correlation peak, and records the current position for sharpening peak value；Step D, will sharpen
Cross-correlation peak afterwards will remove the sharpening peak as current cross-correlation peak in the current cross-correlation peak of the record
The peak-peak located in addition performs step C as peak value is sharpened.
6. device according to claim 5, it is characterised in that the sharpening module includes：
Comparing unit, for the current peak value that sharpens to be compared with default detection threshold；
Computing unit, for when the comparing unit compares the sharpening peak value and is more than the detection threshold, according to following formula
The current cross-correlation peak is sharpened：
Corr_seq1=corr_seq0- (P*canc_seq)/N；
Wherein, corr_seq1 is the cross-correlation peak after sharpening；Corr_seq0 is current cross-correlation peak；P sharpens peak value for current；
Canc_seq is the amplitude of the self correlated peak after the normalization co-located with the current cross-correlation peak；N returns for described
The peak-peak of the self correlated peak after one change；
Select unit, for using the cross-correlation peak after sharpening as current cross-correlation peak, and by the current cross-correlation of the record
The peak-peak located in addition to the sharpening peak in peak is used as sharpening peak value.
7. the device according to claim 5 or 6, it is characterised in that also include：
Output module, for when the sharpening peak value is unsatisfactory for sharpening condition, exporting the current cross-correlation peak.
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| CN109525250B (en) * | 2018-11-27 | 2023-01-17 | 湖南国科微电子股份有限公司 | LLR normalization realization method and device and electronic equipment |
| CN114567340B (en) * | 2022-04-28 | 2022-07-12 | 成都和为时代科技有限公司 | ADS-B signal receiving baseband processing method and system based on correlation algorithm |
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