CN110650003A - Phase recovery optimization device and phase recovery optimization method - Google Patents

Phase recovery optimization device and phase recovery optimization method Download PDF

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Publication number
CN110650003A
CN110650003A CN201810670181.7A CN201810670181A CN110650003A CN 110650003 A CN110650003 A CN 110650003A CN 201810670181 A CN201810670181 A CN 201810670181A CN 110650003 A CN110650003 A CN 110650003A
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phase
gain factor
compensated
compensated phase
gain
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卓庭楠
郑凯文
童泰来
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MStar Semiconductor Inc Taiwan
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L7/00—Arrangements for synchronising receiver with transmitter
    • H04L7/02—Speed or phase control by the received code signals, the signals containing no special synchronisation information
    • H04L7/033—Speed or phase control by the received code signals, the signals containing no special synchronisation information using the transitions of the received signal to control the phase of the synchronising-signal-generating means, e.g. using a phase-locked loop
    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03L—AUTOMATIC CONTROL, STARTING, SYNCHRONISATION OR STABILISATION OF GENERATORS OF ELECTRONIC OSCILLATIONS OR PULSES
    • H03L7/00—Automatic control of frequency or phase; Synchronisation
    • H03L7/06—Automatic control of frequency or phase; Synchronisation using a reference signal applied to a frequency- or phase-locked loop
    • H03L7/08—Details of the phase-locked loop
    • H03L7/085—Details of the phase-locked loop concerning mainly the frequency- or phase-detection arrangement including the filtering or amplification of its output signal
    • H03L7/093—Details of the phase-locked loop concerning mainly the frequency- or phase-detection arrangement including the filtering or amplification of its output signal using special filtering or amplification characteristics in the loop
    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03L—AUTOMATIC CONTROL, STARTING, SYNCHRONISATION OR STABILISATION OF GENERATORS OF ELECTRONIC OSCILLATIONS OR PULSES
    • H03L7/00—Automatic control of frequency or phase; Synchronisation
    • H03L7/06—Automatic control of frequency or phase; Synchronisation using a reference signal applied to a frequency- or phase-locked loop
    • H03L7/08—Details of the phase-locked loop
    • H03L7/099—Details of the phase-locked loop concerning mainly the controlled oscillator of the loop

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Stabilization Of Oscillater, Synchronisation, Frequency Synthesizers (AREA)

Abstract

A phase recovery optimization device is suitable for a phase-locked loop in a phase recovery circuit, wherein the phase-locked loop comprises a loop filter, an oscillator and a phase estimator, wherein the phase recovery optimization device comprises a phase rotator for generating a compensated phase according to an estimated phase and a compensated phase received from the phase estimator and the oscillator respectively; a variance calculating unit for calculating a compensated phase variance according to the compensated phase; and a gain coefficient optimizing unit for adjusting the gain coefficient of the loop filter according to the compensated phase variation.

Description

Phase recovery optimization device and phase recovery optimization method
Technical Field
The present invention relates to the field of communication systems, and more particularly, to a phase recovery optimization apparatus and a phase recovery optimization method.
Background
In a communication system, a transmitting end processes, modulates, filters, amplifies, and transmits data to one or more receiving ends, and before a transmitted signal reaches the receiving end, the transmitted signal is usually weakened by path loss (path loss), multipath interference (multipath interference), and other types of signals (signal degradation). The receiving end performs various types of adjustment on the transmission signal and demodulates the adjusted signal to recover the transmission data.
In the demodulation process, the receiving end often employs a phase recovery circuit to remove the phase change existing between the transmitting end oscillator and the receiving end oscillator, and the phase recovery circuit often combines a phase-locked loop (PLL) to track and remove the phase change. Generally, a phase-locked loop includes a loop filter (loop filter), wherein the gain coefficients of the loop filter are fixed values that are optimized according to an assumed phase change. However, the actual phase change is likely to be different from the assumed phase change, thus compromising the performance of the phase recovery circuit.
Disclosure of Invention
Therefore, an object of the present invention is to provide a phase recovery optimization apparatus and method, which can dynamically adjust the gain factor of the loop filter according to the actual phase change.
The invention discloses a phase recovery optimizing device, which is suitable for a phase-locked loop in a phase recovery circuit, wherein the phase-locked loop comprises a loop filter, an oscillator and a phase estimator, wherein the phase recovery optimizing device comprises a phase rotator which generates a compensated phase according to an estimated phase and a compensated phase which are respectively received from the phase estimator and the oscillator; a variance calculating unit for calculating a compensated phase variance according to the compensated phase; and a gain coefficient optimizing unit for adjusting the gain coefficient of the loop filter according to the compensated phase variation.
The present invention further discloses a phase recovery optimization method, which is applied to a phase locked loop in a phase recovery circuit, wherein the phase locked loop comprises a loop filter, an oscillator and a phase estimator, and the phase recovery optimization method comprises generating a compensated phase according to an estimated phase and a compensated phase received from the phase estimator and the oscillator, respectively; calculating a compensated phase variation number according to the compensated phase; and adjusting the gain coefficient of the loop filter according to the compensated phase variation.
The features, operation and function of the present invention will be described in detail with reference to the drawings.
Drawings
FIG. 1 shows a block diagram of a conventional phase recovery circuit;
FIG. 2 is a diagram illustrating an exemplary frame in accordance with one embodiment of the present invention;
FIG. 3 is a block diagram of a phase recovery circuit according to an embodiment of the present invention;
FIG. 4 is a detailed block diagram of a phase recovery optimization apparatus according to an embodiment of the present invention;
FIG. 5 is a flow chart illustrating adjusting the loop filter gain factor according to an embodiment of the present invention; and
fig. 6 is a detailed flowchart of step S520 according to an embodiment of the present invention.
Description of the symbols
100. 300 phase recovery circuit
110. 310 phase rotator
120. 320 phase error detector
130. 330 loop filter
140. 340 oscillator
150. 350 phase estimator
132. 134, 332, 334 multiplier
136. 336 accumulator
138. 338, 362 adders
360 phase recovery optimizing device
364 variance calculating unit
366 gain factor optimization unit
R signal
φOCompensating phase
R' compensated signal
φestEstimating phase
KP、KIGain factor
FRA frame
H header subframe
D0-Dn data subframes
P1 Pn pilot subframe
θMLMaximum likelihood phase
yiKnown symbol
miKnown data
θML' post-compensation maximum likelihood phase
post-V compensation phase variation
Vp phase variance after previous compensation
Vc current compensated phase variation
S510 to S540
Detailed Description
Fig. 1 is a block diagram of a conventional phase recovery circuit 100. The phase recovery circuit 100 includes a phase rotator 110, a phase error detector 120, a loop filter 130, an oscillator 140, and a phase estimator 150. The signal R processed by the previous stage circuit of the phase recovery circuit 100 is input to the phase recovery circuit 100 to estimate and compensate for a phase error in the signal R.
In detail, the signal R is input to the phase rotator 110 and has a compensated phase phi with the output of the oscillator 140OThe phase rotator 110 may be implemented as a multiplier that mixes to generate a compensated signal R'. The phase error detector 120 generates an estimated phase phi according to the compensated signal RestWhich is used as a phase tracking parameter and is input to the loop filter 130. The loop filter 130 includes multipliers 132, 134, an accumulator 136 and an adder 138, wherein the multiplier 132 is formed to have a gain coefficient KPThe proportional filter (proportional filter), the multiplier 134 and the accumulator (accumulator)136 form a filter with a gain factor KIIntegral filter (integrated filter). Estimating phase phiestIs input in parallel to a proportional filter and an integral filter, the proportional filter uses a multiplier 132 to estimate the phase phiestMultiplying by a gain factor KP(ii) a In parallel, the integrator filter uses the multiplier 134 to estimate the phase phiestMultiplying by a gain factor KIThen the result KI*φestTo the accumulator 136 for accumulation. The adder 138 then adds the outputs of the multiplier 132 and the accumulator 136 and provides the result to the oscillator 140, and the oscillator 140 then generates the compensation phase phi according to the output result of the adder 138OIn practice, the oscillator 140 may be an NCO (numerically controlled oscillator). In one embodiment, the compensation phase isOThe start value of (a) may be provided by the phase estimator 150. the phase estimator 150 may generate a Maximum Likelihood phase θ from known data (knock data) in a frame (frame) using a Maximum Likelihood (ML) estimation methodMLAs a compensation phase phiOA starting value of (a). Referring to fig. 2, fig. 2 is a diagram of an exemplary frame FRA, where the frame FRA includes a header subframe H, a plurality of data subframes D0-Dn and a plurality of pilot subframes P1-Pn, each of the subframes includes a plurality of symbols (symbols), for example, the header subframe H may include 90 symbols and the pilot subframe P1 may include 36 symbols, where the header subframe H and the plurality of pilot subframes P1-Pn belong to known data, and thus the header subframe H and the plurality of pilot subframes P1-Pn can be used to calculate the actual phase error and the maximum likelihood phase θMLCan be represented by the following formula:
Figure BDA0001707902820000041
wherein, yiRepresented as a known symbol (symbol), m, in the signal RiThe known data representing the symbol. For example, the phase estimator 150 can utilize 90 known symbols of the header subframe H to generate a maximum likelihood phase θMLAs a compensation phase phiOThen the phase rotator 110 will combine a symbol in the data sub-frame D0 with the compensated phase phi outputted from the oscillator 140OMixing to generate a compensated signal R', the phase error detector 120 generating an estimated phase phi according to the compensated signal RestEstimate the phase phiestFiltered by the loop filter 130 and input to the oscillator 140 to generate an updated compensated phase phiOFor compensating the next symbol in the data sub-frame D0. By analogy with thatAll symbols in the data sub-frame D0 are compensated.
However, the gain factor K of the loop filter 140P、KIUsually a fixed value, which cannot be adjusted to the actual channel conditions, compromising the performance of the phase recovery circuit. Therefore, the present invention dynamically adjusts the gain coefficient of the loop filter 140 through a phase recovery optimization device to improve the performance of the overall phase recovery circuit. FIG. 3 is a block diagram of a phase recovery circuit 300 according to an embodiment of the present invention, wherein the phase recovery circuit 300 further comprises a phase recovery optimization device 360 coupled to the oscillator 340 and the phase estimator 350 for receiving a compensated phase φ from the oscillator 340 and the phase estimator 350, respectively, in comparison with the conventional phase recovery 100OAnd a maximum likelihood phase thetaMLWith the compensation phase phiOCompensating for the maximum likelihood phase thetaMLTo generate a compensated maximum likelihood phase thetaMLAnd based on the compensated maximum likelihood phase thetaML'A variance (variance) of the' is used to adjust the gain factor K of the loop filter 340P、KI。
In detail, taking fig. 2 as an example, it is assumed that the data sub-frame D0 is a gain coefficient kp、kiFor phase estimation and compensation, the oscillator 340 will generate the compensation phase phi according to the last symbol of the data sub-frame D0OTransmitted to the phase recovery optimization device 360; in parallel, the phase estimator 350 will generate the maximum likelihood phase θ according to the 36 known symbols of the pilot subframe P1MLTo the phase recovery optimization device 360. Referring to fig. 4, fig. 4 is a detailed block diagram of the phase recovery optimization apparatus 360. as shown in fig. 4, the phase recovery optimization apparatus 360 includes an adder 362, a variance calculation unit 364 and a gain factor optimization unit 366. The adder 362 in the phase recovery optimization device 360 utilizes the compensated phase phiOCompensating for maximum likelihood phase θMLTo generate a compensated maximum likelihood phase thetaML'. Similarly, data sub-frame D1 is a gain factor kp、kiFor phase estimation and compensation, the oscillator 340 will generate the compensation phase phi according to the last symbol of the data sub-frame D1OTransmitted to the phase recovery optimization device 360; in parallel, the phase estimator 350 will generate the maximum likelihood phase θ according to the 36 known symbols of the pilot subframe P2MLTransmitted to the phase recovery optimizing device 360, and the adder 362 in the phase recovery optimizing device 360 uses the compensated phase phiOCompensating for maximum likelihood phase θMLTo generate another compensated maximum likelihood phase thetaML'. By analogy, adder 362 outputs multiple compensated maximum likelihood phases θML' the variance calculating unit 364 calculates the maximum likelihood phase θ based on the plurality of compensated maximum likelihood phasesML' calculation corresponds to the gain factor kp、kiA compensated phase variation V. According to the desired gain factor KP、KIEstimated compensation phase phiOWill approximate the maximum likelihood phase thetaMLSo using the compensation phase phiOCompensating for maximum likelihood phase θMLA resulting compensated maximum likelihood phase θML' will be approximately 0, so that the phase variation V after compensation is closer to 0 to represent its corresponding gain coefficient KP、KIThe better, the gain factor optimizing unit 366 can adjust the gain factor K according to the compensated phase variation VP、KI。
In detail, referring to fig. 5, fig. 5 is a flow chart of adjusting the gain factor. First, the gain factor optimizing unit 366 stores the gain factor before adjustment (step S510) as a basis for determining whether to continue adjusting the gain factor. For example, if the gain factor K is not adjustedP＝kp、KI＝kiThe gain factor optimizing unit 366 will select kp、kiAnd (4) storing. Then, the gain factor optimizing unit 366 first adjusts the gain factor KP、KIIn one of the above embodiments, the gain factor optimizing unit 366 first adjusts the gain factor KP(step S520), the gain factor K is adjustedI(step S530), in other embodiments, the gain factor optimizing unit 366 may also adjust the gain factor K firstIReadjusting the gain factor KP。
FIG. 6 shows the stepsA detailed flowchart of step S520. First, the gain factor optimizing unit 366 adjusts the gain factor K toward a trendP(step S521), for example, the gain factor optimizing unit 366 can increase the gain factor KPLet K beP＝kp+1>kpAnd corresponds to the gain coefficient kp+1、kiA compensated phase variation Vp +1 of (a) may be generated as described above. Next, the gain factor optimizing unit 366 compares a previous compensated phase variation Vp with a current compensated phase variation Vc (step S522) to determine whether to continue to adjust the gain factor K toward the trendPAt this time, the previously compensated phase variation Vp is equal to V, which corresponds to the gain coefficient k before adjustmentp、ki(ii) a The current post-compensation phase variation Vc ═ Vp +1, which corresponds to the adjusted gain coefficient kp+1、ki。
In step S522, if the current compensated phase variation Vc is smaller than the previous compensated phase variation Vp, it means that the adjusted gain factor is better, and therefore the gain factor optimizing unit 366 continues to adjust the gain factor K toward the trendP(step S523), in this case, the gain factor optimizing unit 366 continues to increase the gain factor KPLet K beP＝kp+2>kp+1 and corresponds to the gain factor kp+2、kiA compensated phase variation Vp +2 of (a) may be generated as previously described. Next, the gain factor optimizing unit 366 compares a previous compensated phase variation Vp with a current compensated phase variation Vc (step S524) to determine whether to continue adjusting the gain factor KPAt this time, the previous post-compensation phase variation Vp is Vp +1, which corresponds to the gain coefficient k before adjustmentp+1、ki(ii) a The current post-compensation phase variation Vc ═ Vp +2, which corresponds to the adjusted gain coefficient kp+2、ki. In step S524, if the current compensated phase variation Vc is greater than the previous compensated phase variation Vp, which represents that the adjusted gain factor is poor, the gain factor optimizing unit 366 cancels the previous gain factor KPIs adjusted (step S525) so that the gain coefficient K becomes equal toPFrom k to kp+2 to kp+1, and end on the gain factor KPIn other words the final gain factor KP＝kp+ 1; in step S524, if the current compensated phase variation Vc is smaller than the previous compensated phase variation Vp, which means that the adjusted gain factor is better, the gain factor optimizing unit 366 continues to adjust the gain factor K toward the trendP(step S523), in this case, the gain factor optimizing unit 366 continues to increase the gain factor KPLet K beP＝kp+3>kp+2, ending the adjustment of the gain factor K until the phase variation Vc after the current compensation is larger than the phase variation Vp after the previous compensationPUntil the adjustment.
In step S522, if the current compensated phase variation Vc is greater than the previous compensated phase variation Vp, which represents that the adjusted gain factor is poor, the gain factor optimizing unit 366 cancels the previous gain factor KPAnd adjusting the gain factor K towards an opposite trendP(step S526), in this case, the gain factor optimizing unit 366 decreases the gain factor KPMake KP＝kp-1<kpAnd corresponds to the gain coefficient kp-1、kiA compensated phase variation Vp-1 of (a) may be generated as previously described. Next, the gain factor optimizing unit 366 compares a previous compensated phase variation Vp with a current compensated phase variation Vc (step S527), where the previous compensated phase variation Vp equals V, which corresponds to the gain factor k before adjustmentp、ki(ii) a The current post-compensation phase variation Vc ═ Vp-1, which corresponds to the adjusted gain coefficient kp-1、ki. In step S527, if the current compensated phase variation Vc is greater than the previous compensated phase variation Vp, which represents that the adjusted gain factor is poor, the gain factor optimizing unit 366 cancels the previous gain factor KPAdjustment of (step S525), i.e. gain factor KPFrom k to kp-1 reverts to kpAnd end on the gain factor KPIn other words the final gain factor KP＝kp(ii) a In step S527, if the current compensated phase variation Vc is smallSince the previous compensated phase variation Vp represents a better adjusted gain factor, the gain factor optimization unit 366 continues to adjust the gain factor K toward the opposite trendP(step S526), in this case, the gain factor optimizing unit 366 continues to decrease the gain factor KPMake KP＝kp-2<kp-1, ending the pair of gain coefficients K until the present compensated phase variation Vc is greater than the previous compensated phase variation VpPUntil the adjustment.
The gain factor optimizing unit 366 adjusts the gain factor K at the endPAfter the adjustment (step S520), the gain coefficient K is then adjustedI(step S530), since the adjustment methods of the two are similar, the related details can be referred to fig. 6, and are not described herein again.
In the pair of gain coefficients KP、KIAfter the adjustment is completed, the gain factor optimizing unit 366 then determines the gain factor K according to the pre-adjustment gain factor stored in step S510P、KIWhether the adjustment is completed or not (step S540) is determined to adjust the gain factor K again or notP、KI。
In one embodiment, the gain factor optimizing unit 366 can compare the gain factor K before and after adjustmentP、KIWhether the gain coefficients are the same or not is judgedP、KIWhether the adjustment is complete. If the gain factor K before and after adjustmentP、KISame, represents the gain coefficient KP、KIWhen the adjustment is completed, the gain factor optimizing unit 366 does not adjust the gain factor KP、KIThe adjustment is performed again, and then the phase recovery circuit 300 performs the adjustment with the gain factor K after the adjustment is completedP、KIEstimating and compensating for the phase error in the signal R until, for example, when the user switches channels, the gain factor optimization unit 366 re-aligns the gain factor KP、KIAnd (6) adjusting. With gain factor K before adjustmentP＝kp、KI＝kiFor example, if the gain coefficient K is adjusted in steps S520 and S530P＝kp、KI＝kiCoefficient of gainThe optimization unit 366 does not match the gain factor KP、KIThe adjustment is performed again, and the phase recovery circuit 300 performs the adjustment with the gain factor KP＝kp、KI＝kiThe phase error in the signal R is estimated and compensated. If the gain factor K before and after adjustmentP、KIDifferent from, representing the gain factor KP、KIIf the adjustment is not completed, the gain factor optimizing unit 366 will optimize the gain factor KP、KIAdjustment is performed again (return to step S510). With gain factor K before adjustmentP＝kp、KI＝kiFor example, if the gain coefficient K is adjusted in steps S520 and S530P＝kp+1、KI＝kiThen the gain factor optimizing unit 366 would compare the gain factor KP、KIAdjustment is again made until the gain factor KP、KIThe adjustment of (2) is completed.
In another embodiment, the gain factor optimizing unit 366 can also determine the gain factor K before and after adjustmentP、KIWhether the difference is less than a predetermined threshold value to determine the gain coefficient KP、KIWhether the adjustment is completed (step S540). If the gain factor K before and after adjustmentP、KIIs smaller than the predetermined threshold value, representing a gain factor KP、KIFinishing the adjustment; on the contrary, it represents the gain coefficient KP、KIThe adjustment is not completed.
In another embodiment, if the gain factor K isP、KIThe adjustment is not completed (step S540), which means that the number of samples currently used for calculating the compensated phase variation V may be too small to effectively remove the noise, so that the phase recovery optimization apparatus 360 increases the number of samples for calculating the compensated phase variation V to match the gain factor K againP、KIAnd (6) adjusting.
In summary, the present invention dynamically adjusts the gain coefficient of the loop filter according to the compensated phase variation, so as to improve the performance of the overall phase recovery circuit.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (14)

1. A phase recovery optimization apparatus for a phase locked loop in a phase recovery circuit, wherein the phase locked loop comprises a loop filter, an oscillator and a phase estimator, wherein the phase recovery optimization apparatus comprises:
a phase rotator for generating a compensated phase based on an estimated phase and a compensated phase received from the phase estimator and the oscillator, respectively;
a variance calculating unit for calculating a compensated phase variance according to the compensated phase; and
and a gain coefficient optimizing unit for adjusting a gain coefficient of the loop filter according to the compensated phase variance.
2. The phase recovery optimization device of claim 1, wherein the gain factor optimization unit is configured to:
adjusting the gain factor towards a trend; and
comparing a current compensated phase variation number with a previous compensated phase variation number to generate a judgment result, wherein the current compensated phase variation number corresponds to a gain coefficient after adjustment, and the previous compensated phase variation number corresponds to a gain coefficient before adjustment.
3. The phase recovery optimization device of claim 2, wherein the gain factor optimization unit is further configured to:
adjusting the gain factor toward an opposite trend according to the determination result indicating that the current compensated phase variation is greater than the previous compensated phase variation.
4. The phase recovery optimization device of claim 2, wherein the gain factor optimization unit is further configured to:
and canceling the previous adjustment of the gain factor according to the judgment result indicating that the current compensated phase variation is larger than the previous compensated phase variation.
5. The phase recovery optimization device of claim 2, wherein the gain factor optimization unit is further configured to:
adjusting the gain factor toward the trend according to the determination result indicating that the current compensated phase variation is smaller than the previous compensated phase variation.
6. The phase recovery optimization device of claim 1, wherein the gain factor optimization unit is further configured to:
storing a gain coefficient before adjustment; and
and judging whether the gain coefficient is adjusted or not according to the gain coefficient before adjustment.
7. The phase recovery optimization device of claim 6, wherein the gain factor optimization unit is further configured to:
by comparing the gain coefficient before adjustment with a gain coefficient before adjustment, whether the adjustment of the gain coefficient is completed is judged.
8. A phase recovery optimization method is applied to a phase-locked loop in a phase recovery circuit, wherein the phase-locked loop comprises a loop filter, an oscillator and a phase estimator, and the phase recovery optimization method comprises the following steps:
generating a compensated phase based on an estimated phase and a compensated phase received from the phase estimator and the oscillator, respectively;
calculating a compensated phase variation number according to the compensated phase; and
adjusting a gain coefficient of the loop filter according to the compensated phase variance.
9. The method of claim 8, wherein the step of adjusting the gain factor of the loop filter according to the compensated phase variance comprises:
adjusting the gain factor towards a trend; and
comparing a current compensated phase variation number with a previous compensated phase variation number to generate a judgment result, wherein the current compensated phase variation number corresponds to a gain coefficient adjusted towards the trend, and the previous compensated phase variation number corresponds to a gain coefficient before adjustment.
10. The method of claim 9, wherein the step of adjusting the gain factor of the loop filter according to the compensated phase variance further comprises:
adjusting the gain factor toward an opposite trend according to the determination result indicating that the current compensated phase variation is greater than the previous compensated phase variation.
11. The method of claim 9, wherein the step of adjusting the gain factor of the loop filter according to the compensated phase variance further comprises:
and canceling the previous adjustment of the gain factor according to the judgment result indicating that the current compensated phase variation is larger than the previous compensated phase variation.
12. The method of claim 9, wherein the step of adjusting the gain factor of the loop filter according to the compensated phase variance further comprises:
and continuing to adjust the gain factor towards the trend according to the judgment result indicating that the current compensated phase variation is smaller than the previous compensated phase variation.
13. The method of claim 8, wherein the step of adjusting the gain factor of the loop filter according to the compensated phase variance further comprises:
storing a gain factor before adjustment; and
and judging whether the gain coefficient is adjusted or not according to the gain coefficient before adjustment.
14. The phase recovery optimization method of claim 13, wherein the step of determining whether the gain factor is adjusted according to the gain factor before the adjustment comprises:
by comparing the gain factor before adjustment with a gain factor after adjustment, it is determined whether the adjustment of the gain factor is completed.
CN201810670181.7A 2018-06-26 2018-06-26 Phase recovery optimization device and phase recovery optimization method Pending CN110650003A (en)

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US20140169524A1 (en) * 2012-12-19 2014-06-19 General Electric Company Image reconstruction method for differential phase contrast x-ray imaging
CN104521176A (en) * 2012-02-28 2015-04-15 英特尔公司 Dynamic optimization of carrier recovery performance for communications systems
US20150300964A1 (en) * 2012-08-31 2015-10-22 Phase Focus Limited Improvements in phase retrieval from ptychography

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102332935A (en) * 2011-09-21 2012-01-25 北京华力创通科技股份有限公司 Carrier compensation system and carrier compensation method
CN104521176A (en) * 2012-02-28 2015-04-15 英特尔公司 Dynamic optimization of carrier recovery performance for communications systems
US20150300964A1 (en) * 2012-08-31 2015-10-22 Phase Focus Limited Improvements in phase retrieval from ptychography
US20140169524A1 (en) * 2012-12-19 2014-06-19 General Electric Company Image reconstruction method for differential phase contrast x-ray imaging

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Application publication date: 20200103