CN101359041A - Synchronous calibration method and system for intensity sampling of pulse - Google Patents

Abstract

The invention discloses a pulse wave intensity sampling synchronous asymmetrical calibration method and a system; the method uses the time scanning and non-symmetric model approximation methods to obtain accurate the pulse wave intensity sampling synchronous trigger time sequence so as to improve the pulse wave intensity sampling synchronous time sequence control precision and sampling precision. The system comprises a pulse wave source generator, a synchronous time sequence controller, a pulse wave intensity synchronous collector and a pulse wave intensity sampling synchronous calibration processor. The method and the system have the advantages that the non-symmetric model substantially improves the accuracy of sampling results, so that the synchronous calibration precision can reach 10ns.

Description

Calibration steps that intensity sampling of pulse is synchronous and system

Technical field

The present invention relates to the signal Processing field, and be particularly related to a kind of sample-synchronous calibration steps of precision measurement pulse-wave strength in the commercial unit, and the system of the synchronous asymmetric calibration steps of utilization intensity sampling of pulse.

Background technology

In commercial plant, because the needs of high precision and high production capacity, the sniffer and the control system of distributing a large amount of high-speed real-time measurements, signal sampling, data acquisition, exchanges data and communications etc.The control that these systems need that we adopt that multiple mode realizes surveying, signal sampling control, data acquisition control, exchanges data control are communicated by letter with data transmission etc.Have the device of this detection and demand for control to comprise: integrated circuit is made lithographic equipment, panel display board lithographic equipment, MEMS/MOEMS lithographic equipment, advanced encapsulation lithographic equipment, printed circuit board (PCB) lithographic equipment, printed circuit board (PCB) processing unit (plant), printing circuit board element mounting device, pulse propagation pick-up unit (comprising devices such as seismic event detection, geologic prospecting, archaeological excavation, ultrasound wave, sonar detection and remote pulse propagation detection) etc.

In the former said apparatus, the detection of pulse-wave strength information and processing requirements utilization more and more require accurate detection method, so that measured value is more near actual value.Precise detection technology is the basis of the modern industry and the information processing technology, because the triggering of gating pulse wave source, send the pulse arrival measurement mechanism with the pulse wave source, and there is time delay between detected this pulsating wave electric signal of measurement mechanism, therefore, according to different precision needs, must carry out the calibration of sample-synchronous sequential.And, need high-accuracy sample-synchronous calibration steps and system especially for high-precision equipment.

In Chinese patent CN200610024669.X, reduce various white noises and measure the influence of shake intensity sampling, adopted the noise reduction filtering method.Adopt the smart time scan method in thick earlier back, obtained the high-level efficiency of intensity sampling of pulse calibration, obtained certain same step calibration effect.But, past is the multinomial model of linear symmetric owing to being used for the approximate model of step calibration, and actual pulse wave source possibility right and wrong are symmetric, perhaps Shi Ji pulse wave source is symmetric, but through converting in the communication process of pulse-wave strength electric signal, because the effect of electric transport function, make the signal of end of probe be rendered as the pulse-wave strength signal of asymmetry, therefore, still use the multinomial model paired pulses intensity of wave information of linear symmetric to adopt synchronous high-accuracy calibration can cause calibration error bigger, can not obtain real high-accuracy same step calibration.Need to adopt new calibration steps significantly to dwindle the synchronous calibration error of pulse-wave strength.

To mention a kind of principle and method of pulse expansion sampling processing be different to CN200710044848.4 therewith on this aspect, although also mentioned asymmetric pulses Signal Processing method, but this method requires very high to the sampling time sequence of hardware circuit, therefore, need be a kind of on the basis of the complicacy that does not increase ware circuit, a kind of asymmetric calibration steps of sample-synchronous of low cost is provided.

Summary of the invention

Technical matters to be solved by this invention is to provide synchronous calibration steps of a kind of intensity sampling of pulse and system, detect this pulsating wave electric signal to measurement mechanism and measurement mechanism and obtain the precision calibration time delay so that the gating pulse wave source sends pulse, to obtain high-accuracy intensity sampling of pulse.

For solving the problems of the technologies described above, the invention provides the synchronous asymmetric calibration steps of a kind of intensity sampling of pulse, it may further comprise the steps:

(1) sequential relationship between initialization pulse wave source trigger pip and intensity sampling of pulse trigger pip is provided with calibration parameter;

(2) carry out thick time scan, find the preliminary sequential relationship of putting sweep time of pulse-wave strength maximal value place correspondence between relative pulse wave source trigger pip;

(3) carry out precise time scanning, gather complete and effective pulse-wave strength information, determine the intensity sampling of pulse maximal value;

(4) the pulse-wave strength information that obtains in the step (3) is carried out threshold filter, and the weights of auto adapted filtering model are carried out in acquisition, use Asymmetric Model to approach the pulse-wave strength information that sampling obtains, calculate the parameter of Asymmetric Model, obtain the pulse strength maximal value and the time corresponding point of Asymmetric Model;

(5) if the difference between the pulse-wave strength maximal value that intensity sampling of pulse maximal value and Asymmetric Model calculate meets or exceeds particular value, then calculate the pulse-wave strength maximal value and calculate employed threshold value in the renewal threshold filter with Asymmetric Model, go to step (4), otherwise, go to step (6);

(6) calculate the re-correlation value, whether judge the re-correlation value,, then jump to step (7) if more than or equal to setting value more than or equal to setting value, otherwise execution in step (1);

(7) calculate the synchronous alignment time of intensity sampling of pulse, finish the same step calibration of intensity sampling of pulse.

Further, the described particular value of step (5) is the peaked certain proportion of intensity sampling of pulse, and this proportional range is 1% to 60%.

Further, the described particular value of step (5) is an intensity sampling of pulse peaked 5%.

Further, the update method of employed threshold value is in the described threshold filter of step (5): I _Threshold=h*I _{Mod_max}, wherein, I _{Mod_max}Be the pulse strength maximal value of Asymmetric Model, h is the thresholding coefficient of the useful information of intercepting pulse-wave strength, 0＜h＜1, $h\⋐R.$

Further, initialization also comprises thick time scan step-length of initialization and smart time scan step-length in the step (1), and calibration parameter comprises: the length t of the smart time scan of scope time delay _rPulse wave source trigger pip time corresponding is with respect to the time point t of reference time _{Pulse_source_trigger}Thresholding expectation approaches coefficient s, s ∈ (0,1) wherein, $s\⋐R,$ R is a real number field; The thresholding coefficient h of the useful information of intercepting pulse-wave strength; Weighted index factor w_exp, w_exp＞0 wherein, w_exp ∈ R, R are real number field; Δ t of synchronous alignment time of intensity sampling of pulse _Syn

Further, in the step (2) by the time range t of the determined smart time scan of thick time scan _aFor: t _Pmax-0.5t _r＜t _a＜t _Pmax+ 0.5t _r, wherein, t _PmaxIntensity sampling of pulse maximal value place time corresponding point when representing thick time scan.

Further, pulse-wave strength information I in the step (3) _nAsking for formula is $I_n=\frac{1}{k}\underset{p=1}{\overset{k}{\mathrm{\Σ}}}{I}_{\mathrm{nk}},$ Wherein, I _NkBe corresponding n the pulse-wave strength that sweep time, the some place sampled for the k time, n is the sequence number at some place sweep time, and k is greater than 10 ³

Further, the described threshold filter method of step (4) is: if I _n＞I _Threshold, I then _nRemain unchanged, otherwise, I made _n=0, promptly in the approximation process process of Asymmetric Model, do not use this pulse-wave strength information, I _ThresholdBe intensity sampling of pulse maximal value I _{Samp_max}H doubly, i.e. I _Threshold=h*I _{Samp_max}, h is the thresholding coefficient of the useful information of intercepting pulse-wave strength, 0＜h＜1, $h\⋐R;$ The weights factor formula of adaptive filter algorithm model is $w_n={\left({(I_n-I_{\mathrm{threshold}}*s)}^{w\_\exp }\right)}^{1/2}.$

Further, Asymmetric Model is described in the step (4): $f\left(t_n\right)=p\left(t_n\right)e^{{\mathrm{ct}}_n}+d\left(t_n\right),$ Wherein, t _nBe pulse-wave strength information I _nThe time point of corresponding precise time scanning, c is a pulse-wave strength damped expoential coefficient, f (t _n)＞0, p (t _n) be polynomial expression, d (t _n) be the dc shift component.

Further, described polynomial expression is $p\left(t_n\right)=a_0+a_1{t}_n+a_2{\mathrm{<figure-callout\; id="2"\; label="t\; n"\; filenames="A20081020064600161.png"\; state="\{\{state\}\}">t</figure-callout>}}_n^{}+K+a_m{t}_n^m,$ Wherein, t _nBe pulse-wave strength information I _nThe time point of corresponding precise time scanning, a ₀, a ₁, ..., a _mAll be polynomial coefficient, m＞1, $m\&Subset;N,$ N is a natural number.

Further, the typical model in the described Asymmetric Model is: $f\left(t_n\right)=(a_0+a_1{t}_n+a_2{t}_n^2)e^{{\mathrm{ct}}_n}+d\left(t_n\right),$ Wherein, t _nBe pulse-wave strength information I _nThe time point of corresponding precise time scanning, a ₀, a ₁And a ₂All be polynomial coefficient, c is a pulse-wave strength damped expoential coefficient; D (t _n) be the dc shift component, once or in the asymmetric high-accuracy calibration synchronously of several times intensity sampling of pulse, be used as constant D; F (t _n) be the pulse-wave strength information that is used to approach the resultant model of sampling pulse intensity of wave; In the described typical model, f (t _n)＞0, a ₂＜0, a ₁＞0, c＜0, $0<t<-\frac{a_1}{a_2},$ C and

Be constant.

Further, according to the parameter of gained Asymmetric Model, the pulse strength maximal value of calculating Asymmetric Model is described in the step (4):

$I_{\mathrm{mod}\_\max }=f\left(t_{m\max }\right)=(a_0+a_1{t}_{m\max }+a_2{t}_{m\max }^2)e^{{\mathrm{ct}}_{m\max }}+D,$

The pulse strength maximal value I of Asymmetric Model _{Mod_max}Time corresponding point is:

$t_{m\max }=-\frac{1}{c}[(1+\frac{a_{1}c}{2a_2})+\sqrt{1+{\left(\frac{a_{1}c}{2a_2}\right)}^2}]$ Be constant.

Further, described in the step (5) according to intensity sampling of pulse maximal value I _{Samp_max}The maximum of intensity I that tries to achieve with approximate model _{Mod_max}Between difference, determine whether the maximal value that the maximum intensity that obtains with model replaces sampling to obtain, even $\frac{I_{\mathrm{mod}\_\max }-I_{\mathrm{samp}\_\max }}{I_{\mathrm{mod}\_\max }}\&GreaterEqual;\mathrm{sr},$ Sr is a deviation range, then uses I _{Mod_max}Replace I _{Samp_max}Calculate I _Threshold, the weights factor w of calculating adaptive filter algorithm model _nOtherwise, needn't use I _{Mod_max}Replace I _{Samp_max}Calculate I _Threshold, the weights factor w of calculating adaptive filter algorithm model _n

Further, the computing formula of re-correlation value MCV described in the step (6) is: $\mathrm{MCV}=\frac{\underset{p=1}{\overset{n}{\mathrm{\&Sigma;}}}{(I_n-f\left(t_n\right))}^2}{\underset{p=1}{\overset{n}{\mathrm{\&Sigma;}}}{(I_n-\stackrel{\&OverBar;}{I})}^2},$ Wherein

Be all time point (t ₁～t _n) arithmetic mean of the pulse-wave strength information located.

Further, the setting value of described re-correlation value MCV is 0.6 to 0.99.

Further, Δ t of synchronous alignment time of intensity sampling of pulse in the described step (7) _Syn=t _Mmax-t _{Pulse_source_trigger}

For solving the problems of the technologies described above, the present invention also provides a kind of intensity sampling of pulse synchronous asymmetric calibration system, described system comprises the pulsating wave source generator, the synchronous sequence controller, pulse-wave strength synchronous acquisition device, the synchronous calibration processor of intensity sampling of pulse, wherein the pulsating wave source generator is used to the pulsing ripple, pulse-wave strength synchronous acquisition device be used to the to sample pulse-wave strength at each time point place, sequential between the sampling that the synchronous sequence controller is used to the triggering of gating pulse wave source generator and pulse-wave strength synchronous acquisition device triggers, sequential between the synchronous calibration processor of intensity sampling of pulse is used to the sampling that the synchronous sequence controller is provided with the triggering of pulsating wave source generator and pulse-wave strength synchronous acquisition device triggered, the pulse-wave strength at each time point place that paired pulses intensity of wave synchronous acquisition device samples and corresponding time point carry out the asymmetric high-accuracy calibration calculations of sample-synchronous to be handled, and obtains sampling that the synchronous sequence controller is provided with the triggering of pulsating wave source generator and the pulse-wave strength synchronous acquisition device strict sequential order between triggering.

The present invention makes it compared with prior art owing to adopted above-mentioned technical scheme, has following advantage and good effect:

1. the present invention carries out high-accuracy sample-synchronous calibration by adopting asymmetric approximate model paired pulses intensity of wave, obtains high-accuracy synchronous calibration accuracy, and the calibration accuracy of its sample-synchronous can reach for 10 nanoseconds;

2 the present invention carry out high-accuracy sample-synchronous calibration by adopting asymmetric approximate model paired pulses intensity of wave, obtain high-accuracy intensity sampling of pulse, and its sampling precision can reach 99.99%, even higher.

Description of drawings

To the description of specific embodiments of the invention, can further understand purpose, specific structural features and the advantage of its invention by following in conjunction with its accompanying drawing.Wherein, accompanying drawing is:

Fig. 1 is the synchronous synoptic diagram of intensity sampling of pulse of preferred embodiment of the present invention;

Fig. 2 (a) is the actual measured signal of preferred embodiment pulse-wave strength of the present invention;

Fig. 2 (b) is the approximate model signal of preferred embodiment pulse-wave strength of the present invention;

Fig. 3 is the synchronous asymmetric calibration steps process flow diagram of intensity sampling of pulse of preferred embodiment of the present invention.

Embodiment

In order more to understand technology contents of the present invention, especially exemplified by specific embodiment and cooperate appended graphic being described as follows.

As Fig. 1, four wave modes have been represented from top to bottom successively, it is respectively the pulsating wave source signal, the pulse-wave strength electric impulse signal, pulse wave source trigger pip and intensity sampling of pulse trigger pip, four kinds of waveforms, the horizontal ordinate unit of four coordinates is time t, and ordinate is respectively pulsating wave source strength signal I _p, pulse-wave strength electric impulse signal I, pulse wave source trigger pip V _{P_trig}, intensity sampling of pulse trigger pip V _{S_trig}All sampled points selections in the method for the invention are benchmark with the pulse wave source triggered time.Above-mentioned trigger pip adopts voltage signal or current signal.

In order to realize the synchronous asymmetric calibration steps of above-mentioned intensity sampling of pulse, proposed the system that a class relates to the synchronous asymmetric calibration steps of intensity sampling of pulse, described system comprises pulsating wave source generator, synchronous sequence controller, pulse-wave strength synchronous acquisition device, the synchronous calibration processor of intensity sampling of pulse.

Below in conjunction with accompanying drawing specific embodiments of the invention are described in further detail.

As shown in Figure 3, the synchronous asymmetric calibration steps of intensity sampling of pulse, the step that comprises is as follows:

(1) sequential relationship between initialization pulse wave source trigger pip and intensity sampling of pulse trigger pip is provided with calibration parameter;

(2) carry out thick time scan, find the preliminary sequential relationship of putting sweep time of pulse-wave strength maximal value place correspondence between relative pulse wave source trigger pip;

(3) carry out precise time scanning, gather complete and effective pulse-wave strength information, determine the intensity sampling of pulse maximal value;

(4) the pulse-wave strength information that obtains in the step (3) is carried out threshold filter, and carry out the weights of auto adapted filtering model, use Asymmetric Model to approach the pulse-wave strength information that sampling obtains, calculate the parameter of Asymmetric Model, obtain the pulse strength maximal value and the time corresponding point of Asymmetric Model;

(5) if the difference between the pulse-wave strength maximal value that intensity sampling of pulse maximal value and Asymmetric Model calculate meets or exceeds particular value, then calculate the pulse-wave strength maximal value and calculate employed threshold value in the renewal threshold filter with Asymmetric Model, go to step (4), otherwise, go to step (6);

(6) calculate the re-correlation value, whether judge the re-correlation value,, then jump to step (7) if more than or equal to setting value more than or equal to setting value, otherwise execution in step (1);

(7) calculate the synchronous alignment time of intensity sampling of pulse, finish the same step calibration of intensity sampling of pulse.

In the synchronous asymmetric calibration steps of above-mentioned intensity sampling of pulse, the described particular value of step (5) is the peaked certain proportion of intensity sampling of pulse, and this proportional range is 1% to 60%, and representative value is 5% here.The update method of employed threshold value is in the described threshold filter of step (5): I _Threshold=h*I _{Mod_max}, wherein, I _{Mod_max}Be the pulse strength maximal value of Asymmetric Model, h is the thresholding coefficient of the useful information of intercepting pulse-wave strength, 0＜h＜1, $h\&Subset;R.$ Initialization also comprises thick time scan step-length of initialization and smart time scan step-length, and calibration parameter comprises: the length t of the smart time scan of scope time delay _r=10 μ s; Pulse wave source trigger pip time corresponding is with respect to the time point t of reference time _{Pulse_source_trigger}The thresholding expectation approaches coefficient s=0.95, s ∈ (0,1), $s\&Subset;R,$ R is a real number field; Degree of polynomial m in the Asymmetric Model＞1, $m\&Subset;N,$ N is natural number, m=2 here; The thresholding coefficient of the useful information of intercepting pulse-wave strength satisfies 0＜h＜1, $h\&Subset;R,$ Here h=0.6; Weighted index factor w_exp＞0, w_exp ∈ R, R are real number field, w_exp=1 here; Δ t of synchronous alignment time of intensity sampling of pulse _SynTime range t by the determined smart time scan of thick time scan _aFor: t _Pmax-0.5t _r＜t _a＜t _Pmax+ 0.5t _r, wherein, t _PmaxIntensity sampling of pulse maximal value place time corresponding point when representing thick time scan.Pulse-wave strength information I _nAsking for formula is $I_n=\frac{1}{k}\underset{p=1}{\overset{k}{\mathrm{\&Sigma;}}}{I}_{\mathrm{nk}},$ Wherein, I _NkBe corresponding n the pulse-wave strength that sweep time, the some place sampled for the k time, n is the sequence number at some place sweep time, and k is greater than 10 ³The intensity sampling of pulse maximal value is I _{Samp_max}Described threshold filter method is: if I _n＞I _Threshold, I then _nRemain unchanged, otherwise, I made _n=0, promptly in the approximation process process of Asymmetric Model, do not use this pulse-wave strength information, I _ThresholdBe maximal value I in the corresponding time point pulse-wave strength _{Samp_max}H doubly, i.e. I _Threshold=h*I _{Samp_max}The weights factor formula of adaptive filter algorithm model is $w_n={\left({(I_n-I_{\mathrm{threshold}}*s)}^{w\_\exp }\right)}^{1/2}.$

Typical model in the described Asymmetric Model is: $f\left(t_n\right)=(a_0+a_1{t}_n+a_2{t}_n^2)e^{{\mathrm{ct}}_n}+d\left(t_n\right),$ Wherein, t _nPulse-wave strength information I _nThe time point of corresponding precise time scanning, a ₀, a ₁And a ₂All be polynomial coefficient, c is a pulse-wave strength damped expoential coefficient; D (t _n) be the dc shift component, once or in the asymmetric high-accuracy calibration synchronously of several times intensity sampling of pulse, be used as constant D; F (t _n) be the pulse-wave strength information that is used to approach the resultant model of sampling pulse intensity of wave; In the described typical model, f (t _n)＞0, a ₂＜0, a ₁＞0, c＜0, $0<t<-\frac{a_1}{a_2},$ C and Be constant.According to the parameter of gained Asymmetric Model, the pulse strength maximal value of calculating Asymmetric Model is: $I_{\mathrm{mod}\_\max }=f\left(t_{m\max }\right)=(a_0+a_1{t}_{m\max }+a_2{t}_{m\max }^2)e^{{\mathrm{ct}}_{m\max }}+D,$ The pulse strength maximal value I of Asymmetric Model _{Mod_max}Time corresponding point is: $t_{m\max }=-\frac{1}{c}[(1+\frac{a_{1}c}{2a_2})+\sqrt{1+{\left(\frac{a_{1}c}{2a_2}\right)}^2}]$ Be constant.

Described according to intensity sampling of pulse maximal value I _{Samp_max}The maximum of intensity I that tries to achieve with approximate model _{Mod_max}Between difference, determine whether the maximal value that the maximum intensity that obtains with model replaces sampling to obtain, even $\frac{I_{\mathrm{mod}\_\max }-I_{\mathrm{samp}\_\max }}{I_{\mathrm{mod}\_\max }}\&GreaterEqual;\mathrm{sr},$ Sr is a deviation range, then uses I _{Mod_max}Replace I _{Samp_max}Calculate I _Threshold, the weights factor w of calculating adaptive filter algorithm model _nOtherwise, needn't use I _{Mod_max}Replace I _{Samp_max}Calculate I _Threshold, the weights factor w of calculating adaptive filter algorithm model _nDescribed correlation MCV computing formula is: $\mathrm{MCV}=\frac{\underset{p=1}{\overset{n}{\mathrm{\&Sigma;}}}{(I_n-f\left(t_n\right))}^2}{\underset{p=1}{\overset{n}{\mathrm{\&Sigma;}}}{(I_n-\stackrel{\&OverBar;}{I})}^2},$ Wherein Be all time point (t ₁～t _n) arithmetic mean of the pulse-wave strength information located, and the setting value of described re-correlation value MCV is 0.6 to 0.99.Δ t of synchronous alignment time of described intensity sampling of pulse _Syn=t _Mmax-t _{Pulse_sourse_trigger}

Shown in Fig. 2 (a) and Fig. 2 (b), use the synchronous asymmetric calibration steps of this intensity sampling of pulse, obtain the extraordinary effect of approaching, can make the sample-synchronous precision reach 10ns, it is to be determined by the similarity of asymmetric approximate model and actual physics signal and precise time scanning step.

In order to realize the synchronous asymmetric calibration steps of above-mentioned intensity sampling of pulse, the system that one class relates to intensity sampling of pulse synchronous asymmetric calibration steps has been proposed, described system comprises the pulsating wave source generator, the synchronous sequence controller, pulse-wave strength synchronous acquisition device, the synchronous calibration processor of intensity sampling of pulse, relation between them is: the pulsating wave source generator is used to the pulsing ripple, pulse-wave strength synchronous acquisition device be used to the to sample pulse-wave strength at each time point place, sequential between the sampling that the synchronous sequence controller is used to the triggering of gating pulse wave source generator and pulse-wave strength synchronous acquisition device triggers, sequential between the synchronous calibration processor of intensity sampling of pulse is used to the sampling that the synchronous sequence controller is provided with the triggering of pulsating wave source generator and pulse-wave strength synchronous acquisition device triggered, the pulse-wave strength at each time point place that paired pulses intensity of wave synchronous acquisition device samples and corresponding time point carry out the asymmetric high-accuracy calibration calculations of sample-synchronous to be handled, and obtains sampling that the synchronous sequence controller is provided with the triggering of pulsating wave source generator and the pulse-wave strength synchronous acquisition device strict sequential order between triggering.The preferred embodiment that the specific operation process of the system of the synchronous asymmetric calibration steps of this intensity sampling of pulse such as the top synchronous asymmetric calibration steps of intensity sampling of pulse are narrated no longer is repeated in this description herein.

The present invention is owing to adopted above-mentioned technical scheme, make it compared with prior art, have following advantage and good effect: the present invention carries out high-accuracy sample-synchronous calibration by adopting asymmetric approximate model paired pulses intensity of wave, obtain high-accuracy synchronous calibration accuracy, the calibration accuracy of its sample-synchronous can reach for 10 nanoseconds; The present invention carries out high-accuracy sample-synchronous calibration by adopting asymmetric approximate model paired pulses intensity of wave, obtains high-accuracy intensity sampling of pulse, and its sampling precision can reach 99.99%, even higher.

Though the present invention discloses as above with preferred embodiment, so it is not in order to limit the present invention.The persond having ordinary knowledge in the technical field of the present invention, without departing from the spirit and scope of the present invention, when being used for a variety of modifications and variations.Therefore, protection scope of the present invention is as the criterion when looking claims person of defining.

Claims (17)

1. synchronous asymmetric calibration steps of intensity sampling of pulse is characterized in that may further comprise the steps:

(1) sequential relationship between initialization pulse wave source trigger pip and intensity sampling of pulse trigger pip is provided with calibration parameter;

(2) carry out thick time scan, find the preliminary sequential relationship of putting sweep time of pulse-wave strength maximal value place correspondence between relative pulse wave source trigger pip;

(3) carry out precise time scanning, gather complete and effective pulse-wave strength information, determine the intensity sampling of pulse maximal value;

(4) the pulse-wave strength information that obtains in the step (3) is carried out threshold filter, and the weights of auto adapted filtering model are carried out in acquisition, use Asymmetric Model to approach the pulse-wave strength information that sampling obtains, calculate the parameter of Asymmetric Model, obtain the pulse strength maximal value and the time corresponding point of Asymmetric Model;

(5) if the difference between the pulse-wave strength maximal value that intensity sampling of pulse maximal value and Asymmetric Model calculate meets or exceeds particular value, then calculate the pulse-wave strength maximal value and calculate employed threshold value in the renewal threshold filter with Asymmetric Model, go to step (4), otherwise, go to step (6);

(6) calculate the re-correlation value, whether judge the re-correlation value,, then jump to step (7) if more than or equal to setting value more than or equal to setting value, otherwise execution in step (1);

(7) calculate the synchronous alignment time of intensity sampling of pulse, finish the same step calibration of intensity sampling of pulse.

2. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 1 is characterized in that, the described particular value of step (5) is the peaked certain proportion of intensity sampling of pulse, and this proportional range is 1% to 60%.

3. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 2 is characterized in that, the described particular value of step (5) is an intensity sampling of pulse peaked 5%.

4. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 1 is characterized in that, the update method of employed threshold value is in the described threshold filter of step (5): I _Threshold=h*I _{Mod_max}, wherein, I _{Mod_max}Be the pulse strength maximal value of Asymmetric Model, h is the thresholding coefficient of the useful information of intercepting pulse-wave strength, 0＜h＜1, $h\&Subset;R.$

5. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 1, it is characterized in that, initialization also comprises thick time scan step-length of initialization and smart time scan step-length in the step (1), and calibration parameter comprises: the length t of the smart time scan of scope time delay _rPulse wave source trigger pip time corresponding is with respect to the time point t of reference time _{Pulse_source_trigger}Thresholding expectation approaches coefficient s, s ∈ (0,1) wherein, $s\&Subset;R,$ R is a real number field; The thresholding coefficient h of the useful information of intercepting pulse-wave strength; Weighted index factor w_exp, w_exp＞0 wherein, w_exp ∈ R, R are real number field; Δ t of synchronous alignment time of intensity sampling of pulse _Syn

6. the synchronous asymmetric calibration steps of the described intensity sampling of pulse of claim 5 is characterized in that, in the step (2) by the time range t of the determined smart time scan of thick time scan _aFor: t _Pmax-0.5t _r＜t _a＜t _Pmax+ 0.5t _r, wherein, t _PmaxIntensity sampling of pulse maximal value place time corresponding point when representing thick time scan.

7. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 5 is characterized in that, pulse-wave strength information I in the step (3) _nAsking for formula is $I_n=\frac{1}{k}\underset{p=1}{\overset{k}{\mathrm{\&Sigma;}}}{I}_{\mathrm{nk}},$ Wherein, I _NkBe corresponding n the pulse-wave strength that sweep time, the some place sampled for the k time, n is the sequence number at some place sweep time, and k is greater than 10 ³

8. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 7 is characterized in that, the described threshold filter method of step (4) is: if I _n＞I _Threshold, I then _nRemain unchanged, otherwise, I made _n=0, promptly in the approximation process process of Asymmetric Model, do not use this pulse-wave strength information, I _ThresholdBe intensity sampling of pulse maximal value I _{Samp_max}H doubly, i.e. I _Threshold=h*I _{Samp_max}, h is the thresholding coefficient of the useful information of intercepting pulse-wave strength, 0＜h＜1, $h\&Subset;R;$ The weights factor formula of adaptive filter algorithm model is w _n=((I _n-I _Threshold* s) ^W_exp) ^1/2

9. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 8 is characterized in that, Asymmetric Model is described in the step (4): $f\left(t_n\right)=p\left(t_n\right)e^{{\mathrm{ct}}_n}+d\left(t_n\right),$ Wherein, t _nBe pulse-wave strength information I _nThe time point of corresponding precise time scanning, c is a pulse-wave strength damped expoential coefficient, f (t _n)＞0, p (t _n) be polynomial expression, d (t _n) be the dc shift component.

10. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 9 is characterized in that described polynomial expression is $p\left(t_n\right)=a_0+a_1{t}_n+a_2{t}_n^2+K+a_m{t}_n^m,$ Wherein, t _nBe pulse-wave strength information I _nThe time point of corresponding precise time scanning, a ₀, a ₁, ..., a _mAll be polynomial coefficient, m＞1, $m\&Subset;N,$ N is a natural number.

11. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 9 is characterized in that the typical model in the described Asymmetric Model is: $f\left(t_n\right)=(a_0+a_1{t}_n+a_2{t}_n^2)e^{{\mathrm{ct}}_n}+d\left(t_n\right),$ Wherein, t _nBe pulse-wave strength information I _nThe time point of corresponding precise time scanning, a ₀, a ₁And a ₂All be polynomial coefficient, c is a pulse-wave strength damped expoential coefficient; D (t _n) be the dc shift component, once or in the asymmetric high-accuracy calibration synchronously of several times intensity sampling of pulse, be used as constant D; F (t _n) be the pulse-wave strength information that is used to approach the resultant model of sampling pulse intensity of wave; In the described typical model, f (t _n)＞0, a ₂＜0, a ₁＞0, c＜0, $0<t<-\frac{a_1}{a_2},$ C and

Be constant.

12. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 11 is characterized in that, according to the parameter of gained Asymmetric Model, the pulse strength maximal value of calculating Asymmetric Model is described in the step (4):

$I_{\mathrm{mod}\_\max }=f\left(t_{m\max }\right)=(a_0+a_1{t}_{m\max }+a_2{t}_{m\max }^2)e^{{\mathrm{ct}}_{m\max }}+D,$

The pulse strength maximal value I of Asymmetric Model _{Mod_max}Time corresponding point is:

$t_{m\max }=-\frac{1}{c}[(1+\frac{a_{1}c}{2a_2})+\sqrt{1+{\left(\frac{a_{1}c}{2a_2}\right)}^2}]$ Be constant.

13. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 12 is characterized in that, described in the step (5) according to intensity sampling of pulse maximal value I _{Samp_max}The maximum of intensity I that tries to achieve with approximate model _{Mod_max}Between difference, determine whether the maximal value that the maximum intensity that obtains with model replaces sampling to obtain, even $\frac{I_{\mathrm{mod}\_\max }-I_{\mathrm{samp}\_\max }}{I_{\mathrm{mod}\_\max }}\&GreaterEqual;\mathrm{sr},$ Sr is a deviation range, then uses I _{Mod_max}Replace I _{Samp_max}Calculate I _Threshold, the weights factor w of calculating adaptive filter algorithm model _nOtherwise, needn't use I _{Mod_max}Replace I _{Samp_max}Calculate I _Threshold, the weights factor w of calculating adaptive filter algorithm model _n

14. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 9 is characterized in that, the computing formula of re-correlation value MCV described in the step (6) is: $\mathrm{MCV}=\frac{\underset{p=1}{\overset{n}{\mathrm{\&Sigma;}}}{(I_n-f\left(t_n\right))}^2}{\underset{p=1}{\overset{n}{\mathrm{\&Sigma;}}}{(I_n-\stackrel{\&OverBar;}{I})}^2},$ Wherein I is all time point (t ₁～t _n) arithmetic mean of the pulse-wave strength information located.

15. the synchronous asymmetric calibration steps of intensity sampling of pulse as claimed in claim 14, the setting value that it is characterized in that described re-correlation value MCV is 0.6 to 0.99.

The synchronous asymmetric calibration steps of 16 intensity sampling of pulse as claimed in claim 12 is characterized in that, Δ t of synchronous alignment time of intensity sampling of pulse in the described step (7) _Syn=t _Mmax-t _{Pulse_source_trigger}

17. synchronous asymmetric calibration system of intensity sampling of pulse, it is characterized in that: described system comprises the pulsating wave source generator, the synchronous sequence controller, pulse-wave strength synchronous acquisition device, the synchronous calibration processor of intensity sampling of pulse, wherein the pulsating wave source generator is used to the pulsing ripple, pulse-wave strength synchronous acquisition device be used to the to sample pulse-wave strength at each time point place, sequential between the sampling that the synchronous sequence controller is used to the triggering of gating pulse wave source generator and pulse-wave strength synchronous acquisition device triggers, sequential between the synchronous calibration processor of intensity sampling of pulse is used to the sampling that the synchronous sequence controller is provided with the triggering of pulsating wave source generator and pulse-wave strength synchronous acquisition device triggered, the pulse-wave strength at each time point place that paired pulses intensity of wave synchronous acquisition device samples and corresponding time point carry out the asymmetric high-accuracy calibration calculations of sample-synchronous to be handled, and obtains sampling that the synchronous sequence controller is provided with the triggering of pulsating wave source generator and the pulse-wave strength synchronous acquisition device strict sequential order between triggering.

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