CN116232816A - Signal processing method, signal transmission device and interconnection interface - Google Patents
Signal processing method, signal transmission device and interconnection interface Download PDFInfo
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- CN116232816A CN116232816A CN202310509047.XA CN202310509047A CN116232816A CN 116232816 A CN116232816 A CN 116232816A CN 202310509047 A CN202310509047 A CN 202310509047A CN 116232816 A CN116232816 A CN 116232816A
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Abstract
The application discloses a signal processing method, a signal transmission device and an interconnection interface, and relates to the field of signal processing, wherein the signal processing method comprises the following steps: when a current input signal is received, a current noise tolerance value and a current pre-decision level corresponding to the current input signal are obtained; the current input signal is the input signal received at the current moment; obtaining an actual judgment level based on the current noise tolerance value and the current pre-judgment level; updating the current decision level of a decision device in the decision feedback equalizer to an actual decision level so that the decision device decides the current input signal based on the actual decision level to obtain a decision result signal; and obtaining a current output signal according to the judgment result signal. The method and the device can track the changes of noise and signal amplitude in real time, automatically adjust the decision level of the decision device in the decision feedback equalizer, ensure the correct decision of the signal and improve the correct rate of signal transmission.
Description
Technical Field
The present disclosure relates to the field of signal processing, and in particular, to a signal processing method, a signal transmission device, and an interconnection interface.
Background
As the information rate continues to increase, the signal integrity and bandwidth problems caused by the channel become more and more severe, and the combination of equalization techniques and PAM4 (4-level Pulse Amplitude Modulation, four-level pulse amplitude modulation) signals is one of the effective methods to solve this problem. Since the channel characteristics are unknown, the equalization technology generally adopts an adaptive algorithm to update tap coefficients in the equalizer, and in particular, the decision feedback equalizer. The self-adaptive DFE (Decision Feedback Equalization ) can automatically track and compensate only for the characteristic change of the channel, but the decision threshold of the internal decision device is fixed, the signal can be greatly distorted when being transmitted in a long distance or large noise exists, and the fixed decision threshold can lead to an error decision result signal, so that the accuracy of signal transmission is reduced.
Therefore, how to provide a solution to the above technical problem is a problem that a person skilled in the art needs to solve at present.
Disclosure of Invention
The purpose of the application is to provide a signal processing method, a signal transmission device and an interconnection interface, which can track the change of noise and signal amplitude in real time, automatically adjust the decision level of a decision device in a feedback equalizer, ensure the correct decision of signals and improve the correct rate of signal transmission.
In order to solve the above technical problems, the present application provides a signal processing method, which includes:
when a current input signal is received, acquiring a current noise tolerance value and a current pre-decision level corresponding to the current input signal; the current input signal is an input signal received at the current moment;
obtaining an actual decision level based on the current noise tolerance value and the current pre-decision level;
updating the current decision level of a decision device in a decision feedback equalizer to the actual decision level so that the decision device decides the current input signal based on the actual decision level to obtain a decision result signal;
and obtaining a current output signal according to the judgment result signal.
Optionally, the process of obtaining the current noise tolerance value and the current pre-decision level corresponding to the current input signal includes:
performing signal-to-noise separation processing on the current input signal to obtain an effective signal;
acquiring the amplitude of the effective signal;
and acquiring a current noise tolerance value and a current pre-decision level based on the amplitude of the effective signal.
Optionally, before the current noise tolerance value and the current pre-decision level are obtained based on the amplitude of the effective signal, the signal processing method further includes:
Acquiring a preset relation; the preset relation is a corresponding relation among a noise tolerance value, a pre-judgment level and the amplitude of an effective signal;
correspondingly, the process of acquiring the current noise tolerance value and the current pre-decision level based on the amplitude of the effective signal comprises the following steps:
and obtaining a current noise tolerance value and a current pre-decision level according to the amplitude of the effective signal and the preset relation.
Optionally, the preset relationship is that
；
Wherein V is q V for the current noise margin value u For the amplitude, V p For the current pre-decision level.
Optionally, the process of performing signal-to-noise separation processing on the current input signal to obtain an effective signal includes:
performing signal-to-noise separation on the current input signal to obtain an effective signal and a noise signal;
correspondingly, the process of obtaining the actual decision level based on the current noise tolerance value and the current pre-decision level comprises the following steps:
acquiring a noise difference value between the amplitude of the noise signal and the current noise tolerance value;
and obtaining an actual decision level based on the noise difference value and the current pre-decision level.
Optionally, the process of obtaining the actual decision level based on the noise difference value and the current pre-decision level includes:
And integrating the noise difference value and the current pre-decision level to obtain an actual decision level.
Optionally, before obtaining an actual decision level based on the noise difference value and the current pre-decision level, the signal processing method further includes:
determining the position relation of each decision device in the decision feedback equalizer;
correspondingly, the process of obtaining the actual decision level based on the noise difference value and the current pre-decision level comprises the following steps:
and obtaining an actual judgment level corresponding to each judgment device based on the noise difference value, the current pre-judgment level and the position relation.
Optionally, the decision feedback equalizer includes three decision devices; the process of obtaining the actual decision level corresponding to each decision device based on the noise difference value, the current pre-decision level and the position relation comprises the following steps:
determining a first decision maker, a second decision maker and a third decision maker in the three decision makers according to the position relation; the actual decision level corresponding to the first decision device is a first decision level, the actual decision level corresponding to the second decision device is a second decision level, and the actual decision level corresponding to the third decision device is a third decision level;
Obtaining the first decision level based on the noise difference value and the current pre-decision level;
obtaining the third decision level based on the first decision level; the first decision level and the third decision level are opposite numbers;
the second decision level is derived based on the first decision level and the current pre-decision level.
Optionally, the process of performing signal-to-noise separation processing on the current input signal to obtain an effective signal includes:
and performing signal-to-noise separation on the current input signal through wavelet transformation to obtain an effective signal and a noise signal.
Optionally, the process of performing signal-to-noise separation on the current input signal through wavelet transformation to obtain an effective signal and a noise signal includes:
after carrying out wavelet transformation on the current input signal, determining a wavelet coefficient smaller than a preset threshold value as a first signal, and determining a wavelet coefficient larger than or equal to the preset threshold value as a second signal;
reconstructing the first signal to obtain a noise signal;
and reconstructing the second signal to obtain an effective signal.
Optionally, the process of obtaining the current output signal according to the decision result signal includes:
Performing delay processing on the judgment result signal to obtain a delay output signal;
and decoding the delayed output signal to obtain the current output signal, wherein the current output signal is a non-return-to-zero signal.
Optionally, the process of performing delay processing on the decision result signal to obtain a delayed output signal includes:
performing multiple delay processing on the judgment result signals to obtain multiple delay output signals;
the signal processing method further includes:
and updating a feedback signal according to the judgment result signal, the plurality of delayed output signals and coefficients in a preset coefficient table so as to compensate the current input signal at the next moment through the feedback signal.
Optionally, when receiving the current input signal, the process of obtaining the current noise tolerance value and the current pre-decision level corresponding to the current input signal includes:
when a current input signal is received, compensating the current input signal through the feedback signal to obtain a target input signal;
and acquiring a current noise tolerance value and a current pre-decision level corresponding to the target input signal.
Optionally, the process of performing delay processing on the decision result signal to obtain a delayed output signal includes:
And carrying out delay processing on the judgment result signal through a thermometer code rule to obtain a delay output signal.
In order to solve the technical problems, the application also provides a signal transmission device, which comprises a decision feedback equalization main circuit and a self-adaptive circuit, wherein the decision feedback equalization main circuit comprises a first processing module, a second processing module and a decision device module;
the self-adaptive circuit is used for acquiring a current noise tolerance value and a current pre-decision level corresponding to a current input signal when the current input signal is received, acquiring an actual decision level based on the current noise tolerance value and the current pre-decision level and outputting the actual decision level to the decision device module; the current input signal is an input signal received at the current moment;
the first processing module is used for transmitting the current input signal to the decision device module when the current input signal is received;
the judging device module is used for judging the current input signal according to the actual judgment level to obtain a judgment result signal;
and the second processing module is used for obtaining and outputting a current output signal according to the judgment result signal.
Optionally, the adaptive circuit includes:
the third processing module is used for carrying out signal-to-noise separation on the current input signal to obtain an effective signal and a noise signal;
the computing module is used for acquiring the amplitude of the effective signal, and acquiring the current noise tolerance value and the current pre-decision level based on the amplitude of the effective signal;
and the fourth processing module is used for obtaining an actual judgment level based on the current noise tolerance value and the current pre-judgment level and outputting the actual judgment level to the judgment module.
Optionally, the fourth processing module includes:
the comparing unit is used for receiving the amplitude of the noise signal and the current noise tolerance value, calculating a noise difference value between the amplitude of the noise signal and the current noise tolerance value and outputting the noise difference value;
and the level regulating unit is used for obtaining an actual decision level based on the noise difference value and the current pre-decision level and outputting the actual decision level to the decision device module.
Optionally, the fourth processing module further includes:
and the delay unit is used for delaying the current pre-decision level for a preset time and then sending the delayed current pre-decision level to the level regulating unit so that the level regulating unit can simultaneously receive the current pre-decision level and the noise difference value.
Optionally, the level regulating unit is an integrator.
Optionally, the decision device module includes three decision devices, each of which is configured to decide the current input signal according to an actual decision level corresponding to the decision device to obtain a decision result signal.
Optionally, the second processing module includes three delay unit groups, each of which is formed by serially connecting a plurality of sub-delay units;
each sub-delay unit is used for carrying out delay processing on the received signal to be processed to obtain a delay output signal; the signal to be processed is the decision result signal or the delay output signal output by the sub-delay unit with the output end connected with the input end.
Optionally, the first processing module includes:
a feedback processing unit for storing a preset coefficient table including tap coefficients, and outputting a feedback signal based on the decision result signal, the delay output signal, and the tap coefficients;
the adder is used for compensating the current input signal based on the feedback signal to obtain a target input signal;
correspondingly, each decision device is specifically configured to decide the target input signal according to an actual decision level corresponding to the decision device to obtain a decision result signal.
Optionally, the second processing module includes:
and the decoder is used for decoding the delayed output signal output by the last sub-delay unit to obtain the current output signal, wherein the current output signal is a non-return-to-zero signal.
Optionally, the decoder is a thermometer decoder.
In order to solve the technical problem, the application also provides a core interconnection interface, which comprises the signal transmission device as described in any one of the above.
The present application provides a signal processing method, which firstly determines a current noise tolerance value and a current pre-decision level according to a received current input signal, and updates a current decision level of a decision device in a decision feedback equalizer based on an actual decision level obtained by the current noise tolerance value and the current pre-decision level, so that the change of noise and signal amplitude can be tracked in real time, the decision level of the decision device in the feedback equalizer can be automatically adjusted, correct decision of signals is ensured, and the accuracy of signal transmission is improved. The application also provides a signal transmission device and a core particle interconnection interface, which have the same beneficial effects as the signal processing method.
Drawings
For a clearer description of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described, it being apparent that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of steps of a signal processing method provided in the present application;
FIG. 2 is a schematic diagram of a decision between two levels at different noise amplitudes according to the present disclosure;
fig. 3 is a schematic diagram of a decision between two levels under a long-distance transmission provided in the present application;
fig. 4 is a schematic structural diagram of a signal transmission device provided in the present application;
fig. 5 is a schematic structural diagram of an adaptive circuit provided in the present application.
Detailed Description
The core of the application is to provide a signal processing method, a signal transmission device and an interconnection interface, which can track the change of noise and signal amplitude in real time, automatically adjust the decision level of a decision device in a feedback equalizer, ensure the correct decision of signals and improve the correct rate of signal transmission.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Referring to fig. 1, fig. 1 is a flowchart illustrating a signal processing method according to the present application, where the signal processing method includes:
s101: when a current input signal is received, a current noise tolerance value and a current pre-decision level corresponding to the current input signal are obtained; the current input signal is the input signal received at the current moment;
s102: obtaining an actual judgment level based on the current noise tolerance value and the current pre-judgment level;
in order to ensure accurate judgment of the current input signal, the current noise tolerance value and the current pre-judgment level corresponding to the current input signal are acquired after the current input signal is acquired, and the actual judgment level is calculated according to the current pre-judgment level and the current noise tolerance value.
S103: updating the current decision level of a decision device in the decision feedback equalizer to an actual decision level so that the decision device decides the current input signal based on the actual decision level to obtain a decision result signal;
s104: and obtaining a current output signal according to the judgment result signal.
Specifically, the decision feedback equalizer includes a decision device, and the current decision level of the decision device is updated according to the actual decision level obtained in the above steps, so that the decision device makes a decision on the current input signal by using the actual decision level to obtain a decision result signal, and processes the decision result signal to obtain the current output signal of the decision feedback equalizer.
Based on the above embodiments:
as an alternative embodiment, the process of obtaining the current noise margin value and the current pre-decision level corresponding to the current input signal includes:
performing signal-to-noise separation processing on a current input signal to obtain an effective signal;
acquiring the amplitude of an effective signal;
The current noise margin value and the current pre-decision level are obtained based on the amplitude of the effective signal.
First for the current input signal V in Signal-to-noise separation processing is carried out to obtain an effective signal V u And noise signal V n Then for the effective signal V u Is detected by the amplitude of the effective signal V u Can determine the current noise tolerance value V q And the current pre-decision level V p 。
As an alternative embodiment, before acquiring the current noise tolerance value and the current pre-decision level based on the amplitude of the effective signal, the signal processing method further comprises:
acquiring a preset relation; the preset relation is the corresponding relation among the noise tolerance value, the pre-judgment level and the amplitude of the effective signal;
correspondingly, the process of acquiring the current noise tolerance value and the current pre-decision level based on the amplitude of the effective signal comprises the following steps:
and obtaining the current noise tolerance value and the current pre-decision level according to the amplitude of the effective signal and the preset relation.
As an alternative embodiment, the preset relationship is
；
Wherein V is q V for the current noise margin u Is of amplitude, V p Is the current pre-decision level.
Specifically, a corresponding relation, namely a preset relation, among the noise tolerance value, the pre-decision level and the amplitude of the effective signal is pre-constructed. In the calculation to obtain the effective signal V u After the amplitude of the noise signal is calculated according to the preset relation, the current noise tolerance value V can be obtained q And the current pre-decision level V p 。
As an alternative embodiment, the process of performing signal-to-noise separation on the current input signal to obtain the effective signal includes:
performing signal-to-noise separation on a current input signal to obtain an effective signal and a noise signal;
correspondingly, the process of obtaining the actual decision level based on the current noise tolerance value and the current pre-decision level comprises the following steps:
acquiring a noise difference value between the amplitude of the noise signal and the current noise tolerance value;
and obtaining an actual decision level based on the noise difference value and the current pre-decision level.
Specifically, the noise signal V n And the current noise margin value is input into a comparator, the current noise margin value and the current noise margin value are compared through the comparator, a noise difference value delta V between the current noise margin value and the current pre-judgment level V is input based on the noise difference value delta V p Adjusting to obtain actual judgment level V c . Wherein the sign of the noise difference DeltaV represents the direction of adjustment, i.e. the current pre-decision level V is increased p Or decreasing the current pre-decision level V p Absolute value sum of noise difference DeltaVPre-decision level V p The size of the adjustment stride is commonly determined.
As an alternative embodiment, the process of deriving the actual decision level based on the noise difference and the current pre-decision level comprises:
And integrating the noise difference value and the current pre-judgment level to obtain an actual judgment level.
As an alternative embodiment, before deriving the actual decision level based on the noise difference and the current pre-decision level, the signal processing method further comprises:
determining the position relation of each decision device in the decision feedback equalizer;
correspondingly, the process of obtaining the actual decision level based on the noise difference value and the current pre-decision level comprises the following steps:
and obtaining the actual judgment level corresponding to each judgment device based on the noise difference value, the current pre-judgment level and the position relation.
As an alternative embodiment, the decision feedback equalizer includes three decision devices; the process of obtaining the actual decision level corresponding to each decision device based on the noise difference value, the current pre-decision level and the position relation comprises the following steps:
determining a first decision maker, a second decision maker and a third decision maker in the three decision makers according to the position relation; the actual judgment level corresponding to the first judgment device is a first judgment level, the actual judgment level corresponding to the second judgment device is a second judgment level, and the actual judgment level corresponding to the third judgment device is a third judgment level;
obtaining a first decision level based on the noise difference value and the current pre-decision level;
Obtaining a third decision level based on the first decision level; the first decision level and the third decision level are opposite numbers;
a second decision level is derived based on the first decision level and the current pre-decision level.
Specifically, the decision feedback equalizer in this embodiment includes three decision devices, namely a first decision device, a second decision device and a third decision device, where a first decision level of the first decision device is V t Second decision deviceDecision level V m The third decision level of the third decision device is V b Based on the positional relationship of the standard decision level, suppose V b =-V t ，V t And V b Is based on the actual decision level V c ，V t =V c ，V b =-V c ，V m Is 0, v m Is based on the actual decision level V c And a pre-decision level V p Is a difference DeltaV, V m Is 0 + -DeltaV.
As an alternative embodiment, the process of performing signal-to-noise separation on the current input signal to obtain the effective signal includes:
and performing signal-to-noise separation on the current input signal through wavelet transformation to obtain an effective signal and a noise signal.
As an alternative embodiment, the process of performing signal-to-noise separation on the current input signal through wavelet transformation to obtain the effective signal and the noise signal includes:
after wavelet transformation is carried out on a current input signal, determining a wavelet coefficient smaller than a preset threshold value as a first signal, and determining a wavelet coefficient larger than or equal to the preset threshold value as a second signal;
Reconstructing the first signal to obtain a noise signal;
and reconstructing the second signal to obtain an effective signal.
In this embodiment, the wavelet transformation and reconstruction adopt methods such as sampling and interpolation to separate the effective signal and the noise signal in the current input signal according to the preset threshold value. After wavelet transformation, the wavelet coefficient smaller than the preset threshold is regarded as noise signal, the wavelet coefficient larger than the preset threshold is regarded as effective signal, thus realizing separation of signal and noise, and the effective signal V after filtering can be obtained by wavelet reconstruction u And noise signal V n . The wavelet transformation and signal reconstruction technology is utilized to replace the resistor voltage division technology in the traditional PAM4 DFE, so that voltage ripple and voltage deviation caused by resistors are avoided.
As an alternative embodiment, the process of obtaining the current output signal according to the decision result signal includes:
delay processing is carried out on the judgment result signal to obtain a delay output signal;
and decoding the delayed output signal to obtain a current output signal, wherein the current output signal is a non-return-to-zero signal.
As an alternative embodiment, the process of performing delay processing on the decision result signal to obtain a delayed output signal includes:
Performing multiple delay processing on the judgment result signals to obtain multiple delay output signals;
the signal processing method further comprises the following steps:
and updating the feedback signal according to the judgment result signal, the plurality of delay output signals and the coefficients in the preset coefficient table so as to compensate the current input signal at the next moment through the feedback signal.
As an alternative embodiment, when the current input signal is received, the process of acquiring the current noise tolerance value and the current pre-decision level corresponding to the current input signal includes:
when the current input signal is received, compensating the current input signal through a feedback signal to obtain a target input signal;
the current noise tolerance value and the current pre-decision level corresponding to the target input signal are acquired.
As an alternative embodiment, the process of performing delay processing on the decision result signal to obtain a delayed output signal includes:
and carrying out delay processing on the judgment result signal through a thermometer code rule to obtain a delay output signal.
Specifically, when the feedback signal V fed When the initial level of (1) is 0, the target input signal V x With the current input signal V in The same, target input signal V x Through the judgment of 3 judges, if V x If the decision level is higher than the decision level, the decision device outputs a high level 1, if the decision level is lower than the decision level, the decision device outputs a low level 0 to form a 3-bit decision result signal, and the signal comprises output data [ V ] t , 1 ，V m , 1 ，V b , 1 ]Every time a clock cycle, the data is continuously sampled and transmitted, and after j clock cycles, the ith delayed output signal comprises output data V t , j ，V m , j ，V b , j ]（j≤i）。
Then, the output data V of the decision device and the delay unit t , i ，V m , i ，V b , i ](i=1, 2, 3) and coefficients in the coefficient table are weighted to update the feedback signal V fed And at the next time to transmit data V in Compensating for the target input signal V x =V in -V fed 。
Illustratively, the adaptive decision implementation procedure is illustrated with reference to fig. 2 and 3, and the implementation scenario has two kinds of: firstly, different noise amplitudes are shown in fig. 2; and secondly, long distance transmission, as shown in fig. 3.
In the first case: to approach V u For example, when the noise amplitude is smaller than the noise margin value and the noise amplitude is positive, as shown in fig. 2 (1), the signal amplitude is still smaller than the pre-decision level after the effective signal level is superimposed with the noise, the input signal can be correctly decided, i.e. the decision value is V u 3; if the noise amplitude is greater than the noise margin value and the noise amplitude is positive, as shown in (2) of fig. 2, the signal amplitude is greater than the pre-decision level after the effective signal level is superimposed with the noise, and when the decision level is not changed, the input signal is erroneously decided, i.e., the decision value is V u The decision level is adjusted by DeltaV based on the pre-decision level by the difference DeltaV between the noise tolerance value and the noise amplitude and the sign of the difference DeltaV, so that the input signal can be correctly decided, namely the decision value is V u /3。
To approach V u When the noise amplitude is greater than the noise margin value and the noise amplitude is negative, as shown in fig. 2 (3), the signal amplitude after the superposition of the effective signal level and the noise is less than the pre-decision level, and the decision level is adjusted by Δv down on the basis of the pre-decision level by the difference Δv between the noise margin value and the noise amplitude and the Δv sign of the difference, the input signalCan correctly judge, i.e. the judgment value is V u 。
In the second case: long distance transmission will cause the effective signal amplitude to drop, resulting in a drop in signal noise margin, as shown in fig. 3, with the dashed line (1) to solid line (2) changing.
To approach V u When the effective signal amplitude is reduced to a certain extent and the noise amplitude is negative, as shown in fig. 3, the signal amplitude is smaller than the pre-decision level after the effective signal level is superimposed with the noise, and the decision level is adjusted by Δv down to the pre-decision level by the difference Δv between the noise margin value and the noise amplitude and the sign of the difference Δv, the input signal can be correctly decided, i.e., the decision value is V u 。
In summary, the present application not only avoids the influence of the voltage ripple in the conventional manner and the error decision problem caused by the fixed decision level, but also can track the signal amplitude or the noise amplitude variation in real time to realize the automatic adjustment of the decision level, so as to improve the accuracy of signal transmission.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a signal transmission device provided in the present application, where the signal transmission device includes a decision feedback equalization main circuit 41 and an adaptive circuit 42, and the decision feedback equalization main circuit 41 includes a first processing module, a second processing module and a decision device module;
the adaptive circuit 42 is configured to, when receiving a current input signal, obtain a current noise tolerance value and a current pre-decision level corresponding to the current input signal, obtain an actual decision level based on the current noise tolerance value and the current pre-decision level, and output the actual decision level to the decision module; the current input signal is the input signal received at the current moment;
the first processing module is used for transmitting the current input signal to the decision device module when the current input signal is received;
the judging device module is used for judging the current input signal according to the actual judgment level to obtain a judgment result signal;
And the second processing module is used for obtaining a current output signal according to the judgment result signal and outputting the current output signal.
It can be seen that in this embodiment, the current noise tolerance value and the current pre-decision level are determined according to the received current input signal, and the current decision level of the decision device in the signal transmission device is updated based on the actual decision level obtained by the current noise tolerance value and the current pre-decision level, so that the change of noise and signal amplitude can be tracked in real time, the decision level of the decision device in the feedback equalizer can be automatically adjusted, the correct decision of the signal is ensured, and the accuracy of signal transmission is improved.
As an alternative embodiment, referring to fig. 5, fig. 5 is a schematic structural diagram of an adaptive circuit provided in the present application, including:
a third processing module 421, configured to perform signal-to-noise separation on the current input signal to obtain an effective signal and a noise signal;
a calculation module 422, configured to obtain an amplitude of the effective signal, and obtain a current noise tolerance value and a current pre-decision level based on the amplitude of the effective signal;
and the fourth processing module is used for obtaining an actual judgment level based on the current noise tolerance value and the current pre-judgment level and outputting the actual judgment level to the judgment module.
As an alternative embodiment, the fourth processing module includes:
a comparing unit 423 for receiving the amplitude of the noise signal and the current noise tolerance value, calculating a noise difference between the amplitude of the noise signal and the current noise tolerance value, and outputting the calculated noise difference;
the level regulating unit 424 is configured to obtain an actual decision level based on the noise difference value and the current pre-decision level, and output the actual decision level to the decision device module.
As an alternative embodiment, the fourth processing module further comprises:
and a delay unit 425 for delaying the current pre-decision level by a preset time and transmitting the delayed current pre-decision level to the level adjustment unit 424, so that the level adjustment unit 424 receives the current pre-decision level and the noise difference value at the same time.
As an alternative embodiment, the level-regulating unit 424 is an integrator.
Specifically, the adaptive circuit includes a third processing module 421, a calculating module 422, a comparing unit 423, a level adjusting unit 424, and a delay unit 425. Firstly, the third processing module 421 adopts sampling, interpolation and other methods to separate the effective signal from the noise signal according to the set threshold, after the current input signal is subjected to wavelet transformation, when the wavelet coefficient smaller than the threshold is regarded as the noise signal, and the wavelet coefficient larger than the threshold is regarded as the effective signal, thus realizing the separation of the signal and the noise, and then the effective signal V after filtering can be obtained by wavelet reconstruction u And noise signal V n . The calculation module 422 then performs amplitude detection on the filtered signal and based on the pre-decision level V p Noise margin value V q And effective signal V u Corresponding relation of (a) and output V p And V q . (pre-decision level V) p Noise margin value V q And effective signal V u Is V in relation to q =V u V/3 and V p =2V u 3) for V by comparison unit 423 q And V n The amplitude of the (a) is compared, a difference value delta V between the two is output, and the regulation V of the decision level is realized on the basis of the pre-decision level c Thereby obtaining the actual decision level of each decision maker of the decision feedback equalization main circuit 41. The sign of the difference DeltaV represents the coefficient adjustment direction of the level adjustment module, and the sum of the absolute value of the difference DeltaV and V p Together, the size of the stride is determined.
As an alternative embodiment, the decision device module comprises three decision devices, each decision device is used for deciding the current input signal according to the actual decision level corresponding to the decision device to obtain a decision result signal. In FIG. 4, at V t Representing the actual decision level of the first decision device, in V m Representing the actual decision level of the second decision device, in V b Representing the actual decision level of the third decision means for implementing the weighted signal V x Is a level decision of (2).
As an alternative embodiment, the second processing module includes three delay cell groups, each delay cell group is formed by serially connecting a plurality of sub-delay cells; in fig. 4, each sub-delay unit is denoted by T.
Each sub-delay unit is used for carrying out delay processing on the received signal to be processed to obtain a delay output signal; the signal to be processed is a decision result signal or a delay output signal output by a sub-delay unit with an output end connected with an input end of the decision result signal.
As an alternative embodiment, the first processing module includes:
a feedback processing unit 411 for storing a preset coefficient table including tap coefficients, outputting a feedback signal based on the decision result signal, the delay output signal, and the tap coefficients;
an adder 412, configured to compensate the current input signal based on the feedback signal, to obtain a target input signal;
correspondingly, each decision device is specifically configured to decide the target input signal according to the actual decision level corresponding to the decision device to obtain a decision result signal.
Specifically, adder 412 implements input signal V in And feedback compensation signal V fed The preset coefficient table stores tap coefficients, and the feedback processing unit 411 implements weighting processing of the delay unit output signal and the coefficients.
As an alternative embodiment, the second processing module includes:
and the decoder 413 is configured to decode the delayed output signal output by the last sub-delay unit to obtain a current output signal, where the current output signal is a non-return-to-zero signal.
As an alternative embodiment, the decoder 413 is a thermometer decoder.
Specifically, the thermometer decoder realizes the decoding function of 3b-2b, and converts the delay output signals output by the 3-path delay unit group into 2-path signals D0 and D1 for output.
First, when the compensation signal V is fed back fed When the initial level of (2) is 0, the output signal V of the adder x With the current input signal V in The same applies. V (V) x Through the judgment of 3 judges, if V x Above the decision level, the arbiter outputs a high level 1,if the data is lower than the decision level, the decision device outputs low level 0 to form 3bit initial data [ V ] t , 1 ，V m , 1 ，V b , 1 ]Every time a clock period passes, data are continuously sampled and transmitted, after 3 clock periods (j is less than or equal to i), the output data of the 3 rd time delay unit is [ V ] t , 3 ，V m , 3 ，V b , 3 ]。
Then, the output data V of the decision device and the sub-delay unit t , i ，V m , i ，V b , i ](i=1, 2, 3) and coefficients in the coefficient table are weighted to update the feedback signal V fed . And transmits the data V at the next moment in Compensating the output signal V of the adder x =V in -V fed 。
In summary, the present application designs a decision level adaptive high-speed 3-tap PAM4 DFE based on CMOS process using wavelet transform, signal reconstruction and threshold adjustment techniques. The wavelet transformation and signal reconstruction technology replaces the resistor voltage division technology in the traditional PAM4 DFE, avoids voltage deviation caused by voltage ripple and resistor, and the threshold adjustment technology can track the change of noise and signal amplitude, automatically adjust the decision level, ensure the correct decision of signals, thereby inhibiting the error propagation phenomenon of the DFE and being completely suitable for various chip interconnection interfaces such as C2C, D D and the like.
In a third aspect, the present application also provides a pellet interconnect interface comprising a signal transmission device as claimed in any one of the preceding claims.
Among them, the Chip interconnection interfaces include, but are not limited to, various Chip interconnection interfaces such as C2C (Chip-to-Chip), D2D (Die-to-Die), and the like.
For an introduction of a core interconnection interface provided in the present application, reference is made to the above embodiments, and the description thereof is omitted herein.
The core particle interconnection interface provided by the application has the same beneficial effects as the signal processing method.
It should also be noted that in this specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (25)
1. A signal processing method, characterized in that the signal processing method comprises:
when a current input signal is received, acquiring a current noise tolerance value and a current pre-decision level corresponding to the current input signal; the current input signal is an input signal received at the current moment;
obtaining an actual decision level based on the current noise tolerance value and the current pre-decision level;
updating the current decision level of a decision device in a decision feedback equalizer to the actual decision level so that the decision device decides the current input signal based on the actual decision level to obtain a decision result signal;
and obtaining a current output signal according to the judgment result signal.
2. The signal processing method according to claim 1, wherein the process of acquiring the current noise margin value and the current pre-decision level corresponding to the current input signal includes:
performing signal-to-noise separation processing on the current input signal to obtain an effective signal;
acquiring the amplitude of the effective signal;
and acquiring a current noise tolerance value and a current pre-decision level based on the amplitude of the effective signal.
3. The signal processing method according to claim 2, wherein before acquiring the current noise margin value and the current pre-decision level based on the magnitude of the effective signal, the signal processing method further comprises:
Acquiring a preset relation; the preset relation is a corresponding relation among a noise tolerance value, a pre-judgment level and the amplitude of an effective signal;
correspondingly, the process of acquiring the current noise tolerance value and the current pre-decision level based on the amplitude of the effective signal comprises the following steps:
and obtaining a current noise tolerance value and a current pre-decision level according to the amplitude of the effective signal and the preset relation.
4. A signal processing method according to claim 3, wherein the predetermined relationship is that
Wherein V is q V for the current noise margin value u For the amplitude, V p For the current pre-decision level.
5. The signal processing method according to claim 2, wherein the process of performing signal-to-noise separation processing on the current input signal to obtain the effective signal includes:
performing signal-to-noise separation on the current input signal to obtain an effective signal and a noise signal;
correspondingly, the process of obtaining the actual decision level based on the current noise tolerance value and the current pre-decision level comprises the following steps:
acquiring a noise difference value between the amplitude of the noise signal and the current noise tolerance value;
and obtaining an actual decision level based on the noise difference value and the current pre-decision level.
6. The signal processing method of claim 5, wherein deriving an actual decision level based on the noise difference and the current pre-decision level comprises:
and integrating the noise difference value and the current pre-decision level to obtain an actual decision level.
7. The signal processing method according to claim 5, wherein before deriving an actual decision level based on the noise difference value and the current pre-decision level, the signal processing method further comprises:
determining the position relation of each decision device in the decision feedback equalizer;
correspondingly, the process of obtaining the actual decision level based on the noise difference value and the current pre-decision level comprises the following steps:
and obtaining an actual judgment level corresponding to each judgment device based on the noise difference value, the current pre-judgment level and the position relation.
8. The signal processing method of claim 7, wherein said decision feedback equalizer includes three of said decision devices therein; the process of obtaining the actual decision level corresponding to each decision device based on the noise difference value, the current pre-decision level and the position relation comprises the following steps:
Determining a first decision maker, a second decision maker and a third decision maker in the three decision makers according to the position relation; the actual decision level corresponding to the first decision device is a first decision level, the actual decision level corresponding to the second decision device is a second decision level, and the actual decision level corresponding to the third decision device is a third decision level;
obtaining the first decision level based on the noise difference value and the current pre-decision level;
obtaining the third decision level based on the first decision level; the first decision level and the third decision level are opposite numbers;
the second decision level is derived based on the first decision level and the current pre-decision level.
9. The signal processing method according to claim 2, wherein the process of performing signal-to-noise separation processing on the current input signal to obtain the effective signal includes:
and performing signal-to-noise separation on the current input signal through wavelet transformation to obtain an effective signal and a noise signal.
10. The signal processing method according to claim 9, wherein the process of performing signal-to-noise separation on the current input signal by wavelet transform to obtain an effective signal and a noise signal comprises:
After carrying out wavelet transformation on the current input signal, determining a wavelet coefficient smaller than a preset threshold value as a first signal, and determining a wavelet coefficient larger than or equal to the preset threshold value as a second signal;
reconstructing the first signal to obtain a noise signal;
and reconstructing the second signal to obtain an effective signal.
11. The signal processing method according to any one of claims 1 to 10, wherein the process of obtaining the current output signal from the decision result signal comprises:
performing delay processing on the judgment result signal to obtain a delay output signal;
and decoding the delayed output signal to obtain the current output signal, wherein the current output signal is a non-return-to-zero signal.
12. The signal processing method according to claim 11, wherein the process of performing delay processing on the decision result signal to obtain a delayed output signal comprises:
performing multiple delay processing on the judgment result signals to obtain multiple delay output signals;
the signal processing method further includes:
and updating a feedback signal according to the judgment result signal, the plurality of delayed output signals and coefficients in a preset coefficient table so as to compensate the current input signal at the next moment through the feedback signal.
13. The signal processing method of claim 12, wherein when a current input signal is received, the process of acquiring a current noise floor value and a current pre-decision level corresponding to the current input signal comprises:
when a current input signal is received, compensating the current input signal through the feedback signal to obtain a target input signal;
and acquiring a current noise tolerance value and a current pre-decision level corresponding to the target input signal.
14. The signal processing method according to claim 11, wherein the process of performing delay processing on the decision result signal to obtain a delayed output signal comprises:
and carrying out delay processing on the judgment result signal through a thermometer code rule to obtain a delay output signal.
15. The signal transmission device is characterized by comprising a decision feedback equalization main circuit and an adaptive circuit, wherein the decision feedback equalization main circuit comprises a first processing module, a second processing module and a decision device module;
the self-adaptive circuit is used for acquiring a current noise tolerance value and a current pre-decision level corresponding to a current input signal when the current input signal is received, acquiring an actual decision level based on the current noise tolerance value and the current pre-decision level and outputting the actual decision level to the decision device module; the current input signal is an input signal received at the current moment;
The first processing module is used for transmitting the current input signal to the decision device module when the current input signal is received;
the judging device module is used for judging the current input signal according to the actual judgment level to obtain a judgment result signal;
and the second processing module is used for obtaining and outputting a current output signal according to the judgment result signal.
16. The signal transmission device of claim 15, wherein the adaptive circuit comprises:
the third processing module is used for carrying out signal-to-noise separation on the current input signal to obtain an effective signal and a noise signal;
the computing module is used for acquiring the amplitude of the effective signal, and acquiring the current noise tolerance value and the current pre-decision level based on the amplitude of the effective signal;
and the fourth processing module is used for obtaining an actual judgment level based on the current noise tolerance value and the current pre-judgment level and outputting the actual judgment level to the judgment module.
17. The signal transmission device of claim 16, wherein the fourth processing module comprises:
the comparing unit is used for receiving the amplitude of the noise signal and the current noise tolerance value, calculating a noise difference value between the amplitude of the noise signal and the current noise tolerance value and outputting the noise difference value;
And the level regulating unit is used for obtaining an actual decision level based on the noise difference value and the current pre-decision level and outputting the actual decision level to the decision device module.
18. The signal transmission device of claim 17, wherein the fourth processing module further comprises:
and the delay unit is used for delaying the current pre-decision level for a preset time and then sending the delayed current pre-decision level to the level regulating unit so that the level regulating unit can simultaneously receive the current pre-decision level and the noise difference value.
19. The signal transmission device of claim 17, wherein the level adjustment unit is an integrator.
20. The signal transmission device according to any one of claims 15-19, wherein said decider module comprises three deciders, each for deciding said current input signal according to an actual decision level corresponding to itself to obtain a decision result signal.
21. The signal transmission device of claim 20, wherein the second processing module comprises three delay cell groups, each of the delay cell groups being formed by a plurality of sub-delay cells connected in series;
Each sub-delay unit is used for carrying out delay processing on the received signal to be processed to obtain a delay output signal; the signal to be processed is the decision result signal or the delay output signal output by the sub-delay unit with the output end connected with the input end.
22. The signal transmission device of claim 21, wherein the first processing module comprises:
a feedback processing unit for storing a preset coefficient table including tap coefficients, and outputting a feedback signal based on the decision result signal, the delay output signal, and the tap coefficients;
the adder is used for compensating the current input signal based on the feedback signal to obtain a target input signal;
correspondingly, each decision device is specifically configured to decide the target input signal according to an actual decision level corresponding to the decision device to obtain a decision result signal.
23. The signal transmission device of claim 21, wherein the second processing module comprises:
and the decoder is used for decoding the delayed output signal output by the last sub-delay unit to obtain the current output signal, wherein the current output signal is a non-return-to-zero signal.
24. The signal transmission device of claim 23, wherein the decoder is a thermometer decoder.
25. A pellet interconnect interface comprising a signal transmission device as claimed in any one of claims 15 to 24.
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