CN116796684B - Simulation verification method and system for self-adaptive equalization algorithm of high-speed serial interface - Google Patents
Simulation verification method and system for self-adaptive equalization algorithm of high-speed serial interface Download PDFInfo
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Abstract
The embodiment of the application discloses a simulation verification method and a simulation verification system for a self-adaptive equalization algorithm of a high-speed serial interface. The method comprises the following steps: simulating to generate a high-speed serial bus signal, traversing a plurality of groups of filter parameters to respectively filter the high-speed serial bus signal, and correspondingly obtaining a plurality of paths of filter signals; selecting at least one path of filtering signals from the multipath filtering signals to simulate according to the output parameters of the digital logic of the self-adaptive equalization algorithm on the simulation platform to obtain digital signals corresponding to the high-speed serial bus signals and clock signals recovered based on the digital signals; and calculating the digital signal under the clock signal by utilizing the digital logic of the self-adaptive equalization algorithm to obtain an output parameter, and feeding the output parameter back to the simulation platform, so that the simulation platform updates and selects the filtering signal from the multipath filtering signal to simulate based on the received output parameter. The application can realize the quick simulation verification of the self-adaptive equalization algorithm.
Description
Technical Field
The application relates to the technical field of communication, in particular to a simulation verification method and system of a self-adaptive equalization algorithm of a high-speed serial interface.
Background
Serdes is a high-speed serial interface and Serdes IP is a commonly used high-speed serial interface IP. The adaptive equalization algorithm of the Serdes IP is a core unit of the whole IP and is formed by an analog device and a digital circuit together, namely, the adaptive equalization algorithm of the Serdes IP is realized by analog-digital mixing. Because the analog-digital hybrid simulation takes longer time, a scheme for performing quick simulation verification on the adaptive equalization algorithm is necessary to be provided.
Disclosure of Invention
In order to solve the technical problems, the embodiment of the application provides a simulation verification method of an adaptive equalization algorithm of a high-speed serial interface and a simulation verification system of the adaptive equalization algorithm of the high-speed serial interface.
In an exemplary embodiment, a simulation verification method of an adaptive equalization algorithm of a high-speed serial interface includes: simulating to generate a high-speed serial bus signal, traversing a plurality of groups of filter parameters, and respectively filtering the high-speed serial bus signal to correspondingly obtain a multipath filtering signal; selecting at least one path of filtering signals from the multipath filtering signals to simulate according to the output parameters of the digital logic of the self-adaptive equalization algorithm on a simulation platform to obtain digital signals corresponding to the high-speed serial bus signals and clock signals recovered based on the digital signals, wherein the simulation platform is used for simulating an analog device of the self-adaptive equalization algorithm; and calculating the digital signal under the clock signal by utilizing the digital logic of the self-adaptive equalization algorithm to obtain an output parameter, and feeding the output parameter back to the simulation platform to enable the simulation platform to update and select a filtering signal from the multipath filtering signals to simulate based on the received output parameter.
In an exemplary embodiment, the simulating generates a high-speed serial bus signal, and traverses a plurality of sets of filter parameters to filter the high-speed serial bus signal respectively, so as to obtain a plurality of paths of filtered signals respectively, which includes: simulating to generate a test code of a high-speed serial bus, and enabling the test code to pass through a feedforward equalizer to obtain an adjusting signal corresponding to the test code; adding a channel interference signal corresponding to a signal high-speed serial bus to the regulating signal to obtain the high-speed serial bus signal; and traversing a plurality of groups of filter parameters to respectively filter the high-speed serial bus signals, and respectively storing the obtained filtered signals in different named files.
In an exemplary embodiment, the method further comprises: acquiring configuration parameter type sets respectively corresponding to an attenuator, a continuous time linear equalizer and a voltage gain amplifier; and selecting one configuration parameter type from configuration parameter sets corresponding to the attenuator, the continuous time linear equalizer and the voltage gain amplifier for multiple times, and sequentially combining the configuration parameter types to obtain the multiple groups of filter parameters.
In an exemplary embodiment, the selecting, for the multiple times, one configuration parameter type from the configuration parameter sets corresponding to the attenuator, the continuous-time linear equalizer, and the voltage gain amplifier, and sequentially combining the configuration parameter types, to obtain the multiple sets of filter parameters, where the multiple sets of filter parameters include: selecting any two analog devices from the attenuator, the continuous time linear equalizer and the voltage gain amplifier each time, fixing the configuration parameter types of the selected analog devices, and selecting one configuration parameter type from a configuration parameter set of the unselected analog devices; and combining the two fixed configuration parameter types and one selected configuration parameter type in sequence according to the corresponding sequence of the attenuator, the continuous time linear equalizer and the voltage gain amplifier to obtain a group of filter parameters.
In an exemplary embodiment, the high-speed serial bus signal is a real-type signal.
In an exemplary embodiment, the simulating the high-speed serial bus signal on the simulation platform includes: modeling an analog device of the self-adaptive equalization algorithm on the simulation platform to obtain a simulation circuit, wherein the simulation circuit comprises a multiplexer, a decision feedback equalizer, an analog-to-digital converter and a clock recovery unit which are sequentially connected; and the multiplexer selects at least one path of filtering signals from the multipath filtering signals according to the output parameters of the digital logic of the adaptive equalization algorithm and inputs the at least one path of filtering signals into the simulation circuit to obtain the digital signals output by the analog-to-digital converter and the clock signals output by the clock recovery unit.
In an exemplary embodiment, the decision feedback equalizer is further connected to a signal output end of the analog-to-digital converter, and is configured to perform digital-to-analog conversion on an operation result obtained by performing least mean square operation on a preset bit of a digital signal output by the analog-to-digital converter, and then add the operation result to obtain an operation result signal, and subtract the operation result signal from an output signal of the filter, and output the signal.
In an exemplary embodiment, the clock recovery unit includes a phase detector, a digital filter, a digital-to-analog converter, and a voltage-controlled oscillator connected in sequence, where a signal output end of the voltage-controlled oscillator is further connected to a signal input end of the phase detector, and is configured to input an output clock signal as a feedback signal to the phase detector.
In an exemplary embodiment, a simulation verification system of an adaptive equalization algorithm of a high-speed serial interface includes: the system comprises a data analysis program, a simulation platform and a digital logic module, wherein the simulation platform is used for simulating an analog device of the adaptive equalization algorithm, and the digital logic module is used for storing digital logic of the adaptive equalization algorithm, wherein: the data analysis program simulates and generates a high-speed serial bus signal, and traverses a plurality of groups of filter parameters to respectively filter the high-speed serial bus signal, so as to correspondingly obtain a plurality of paths of filter signals; the simulation platform selects at least one path of filtering signals from the multipath filtering signals for simulation according to the output parameters of the digital logic of the self-adaptive equalization algorithm to obtain digital signals corresponding to the high-speed serial bus signals and clock signals recovered based on the digital signals, and outputs the digital signals and the clock signals to the digital logic module; the digital logic module calculates the digital signal under the clock signal by utilizing the digital logic of the self-adaptive equalization algorithm to obtain an output parameter, and feeds the output parameter back to the simulation platform, so that the simulation platform updates and selects a filtering signal from the multipath filtering signals to simulate based on the received output parameter.
In an exemplary embodiment, the simulation platform models the analog device of the adaptive equalization algorithm to obtain a simulation circuit, where the simulation circuit includes a multiplexer, a decision feedback equalizer, an analog-to-digital converter, and a clock recovery unit that are sequentially connected, and a signal input end of the decision feedback equalizer is further connected to a signal output end of the analog-to-digital converter, where: the multiplexer selects at least one path of filtering signals from the multipath filtering signals according to the received output parameters of the digital logic module and inputs the at least one path of filtering signals into the simulation circuit; the decision feedback equalizer performs interference elimination on the input filtering signal according to the received output parameters of the digital logic module and the digital signal output by the analog-to-digital converter; the analog-to-digital converter outputs a digital signal corresponding to the high-speed serial bus signal; the clock recovery unit outputs the clock signal.
In the technical scheme provided by the embodiment of the application, the self-adaptive equalization algorithm is decoupled into two parts of an analog device and a digital logic part, the filter contained in the analog device is independent, an independent simulation platform is built aiming at other analog device parts except the filter, the filter is modeled in a program except the simulation platform, the simulation is carried out on a high-speed serial bus signal generated by combining all analog devices, the digital logic part is also used as an independent module, the digital signal and the clock signal output by the simulation platform are utilized to calculate the output parameters, and the output parameters are fed back to the analog devices in the simulation platform. Therefore, the simulation verification speed of the self-adaptive equalization algorithm can be improved by decoupling the analog device and the digital logic of the self-adaptive equalization algorithm; when the input parameters of the analog devices in the simulation platform are changed, the output signals are correspondingly changed, so that the adjustment process of the self-adaptive equalization algorithm is realized. Therefore, the technical scheme provided by the embodiment can realize quick simulation verification of the self-adaptive equalization algorithm.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
FIG. 1 is a schematic diagram of a simulation verification system of an adaptive equalization algorithm for an exemplary high-speed serial interface according to the present application.
Fig. 2 is a schematic diagram of a simulation circuit modeled in the simulation platform 120 shown in fig. 1.
Fig. 3 is a schematic diagram of a clock recovery unit in the simulation platform 120 shown in fig. 1.
Fig. 4 is a flow chart of a simulation verification method of an adaptive equalization algorithm of an exemplary high-speed serial interface according to the present application.
Fig. 5 is a block diagram of a simulation verification apparatus of an adaptive equalization algorithm of a high-speed serial interface, which is shown in an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
In the present application, the term "plurality" means two or more. "and/or" describes an association relationship of an association object, meaning that there may be three relationships, e.g., a and/or B may represent: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
The terms "first," "second," "third," and "fourth" and the like in the description and in the claims and drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. The terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
It should be noted that, serdes is a high-speed serial interface, and it is necessary to recover the digital signal after filtering the received signal at the receiving end due to interference on the communication channel. The channels are long or short, meanwhile, the uncertain factors of interference are more, and the receiving end needs to realize an adaptive equalization algorithm to meet the requirements of different channels. The self-adaptive equalization algorithm is realized by analog-digital mixing, and because the analog-digital mixing simulation time is long, a quick and independent simulation platform is built for the digital logic of the self-adaptive equalization algorithm to verify, so that the quick simulation verification of the self-adaptive equalization algorithm is realized.
And as the transmission speed of Serdes increases, the complexity of the analog circuit of the adaptive equalization algorithm increases, and the parameters extracted by the analog device also increase. For example, in the analog circuit of the adaptive equalization algorithm of the high-speed serial interface of 25G, there are 32 parameters constituting the voltage gain amplifier of the filter, whereas in the analog circuit of the adaptive equalization algorithm of the high-speed serial interface of 32G, there are 25600 parameters constituting the voltage gain amplifier of the filter. In the case of many filter parameters, if the filter is run in real time on the simulation platform, the problem of long simulation time also arises. In order to solve the problem, the filter is independent from the simulation platform, so that the problem of long simulation time of the simulation platform caused by running the multi-parameter filter is solved.
Referring to fig. 1, fig. 1 is a schematic diagram of a simulation verification system of an adaptive equalization algorithm of an exemplary high-speed serial interface according to the present application. The simulation verification system includes a data analysis program 110, a simulation platform 120, and a digital logic module 130, each of which may be understood as an application running on a computer device.
The data analysis program 110 simulates and generates a high-speed serial bus signal, and traverses a plurality of groups of filter parameters (i.e. a plurality of groups of filter parameters provided by Filters) to respectively filter the high-speed serial bus signal, so as to correspondingly obtain a plurality of paths of filtered signals. The data analysis program 110 may be, for example, a matlab program, or may be another application program having similar functions, and is not limited thereto. It will be appreciated that since the matlab program runs floating point multiply add operations faster, there is a faster operation speed even with a large number of filter parameters.
It will be appreciated that the filter is typically formed by a succession of Attenuators (ATT) for attenuating the amplitude of the input signal, continuous-time linear equalizers (CTLE) for attenuating the low frequency components of the input signal, amplifying the high frequency components near the nyquist of the input signal, and Voltage Gain Amplifiers (VGAs) for amplifying the input signal. The attenuator, the continuous-time linear equalizer and the voltage gain amplifier are all filters functionally, that is, the attenuator, the continuous-time linear equalizer and the voltage gain amplifier are all understood to be used for performing one-stage filtering on an input signal, so that the filter can implement multi-stage filtering processing on an input high-speed serial bus signal.
Based on the above, multiple sets of filter parameters can be obtained by acquiring the respective corresponding configuration parameter type sets of the attenuator, the continuous-time linear equalizer and the voltage gain amplifier, and then selecting one configuration parameter type from the respective corresponding configuration parameter sets of the attenuator, the continuous-time linear equalizer and the voltage gain amplifier for multiple times and sequentially combining the configuration parameter types. It is to be appreciated that for the data analysis program 110, the plurality of sets of configuration parameters may be pre-generated and need only be generated once.
For the attenuator, continuous-time linear equalizer and voltage gain amplifier, the respective input data, device parameters and output data are all real-type, representing the true amplitude of the analog signal. The parameters of the attenuator are configured with 8 kinds of parameters, the parameters of the continuous-time linear equalizer are configured with 16 kinds of parameters, the parameters of the voltage gain amplifier are configured with 16 kinds of parameters, namely, the attenuator has 8 kinds of configuration parameters, and the continuous-time linear equalizer and the voltage gain amplifier have 16 kinds of configuration parameters respectively, so that the total of 2048 combinations are totally provided, namely, 2048 groups of filter parameters are totally provided.
However, considering that the memory space required for generating 2048 sets of filter parameters by the data analysis program 110 is too large, and considering that when the attenuator is debugged, the parameters of the continuous-time linear equalizer and the voltage gain amplifier are all default values, only 8 sets of filter parameters are required to be generated, when the continuous-time linear equalizer is debugged, the parameters of the attenuator are fixed values after debugging, the parameters of the voltage gain amplifier are default values, only 16 sets of filter parameters are required to be generated, and when the voltage gain amplifier is debugged, the parameters of the attenuator and the continuous-time linear equalizer are fixed values after debugging, only 16 sets of filter parameters are required to be generated, and therefore only 40 sets of filter parameters are required to be used for realizing one verification of the adaptive equalization algorithm.
Therefore, any two analog devices can be selected from the attenuator, the continuous-time linear equalizer and the voltage gain amplifier each time, the configuration parameter type of the selected analog device is fixed, one configuration parameter type is selected from the configuration parameter set of the unselected analog device, the fixed two configuration parameter types and the selected one configuration parameter type are sequentially combined according to the corresponding sequence of the attenuator, the continuous-time linear equalizer and the voltage gain amplifier, so that a group of filter parameters can be obtained, and finally 40 groups of filter parameters can be obtained. The type of the configuration parameter fixed to any two selected analog devices may be referred to as the type of the configuration parameter debugged in the above-described debugging stage, and is not limited herein.
The simulation platform 120 is used to simulate the analog device of the adaptive equalization algorithm, and it is also understood that the simulation platform 120 models the function of the analog device of the adaptive equalization algorithm. It should be understood that the analog devices modeled in the simulation platform 120 do not include the aforementioned filters. The simulation platform 120 selects at least one path of filtering signals from the multiple paths of filtering signals provided by the data analysis program 110 to simulate according to the output parameters of the digital logic of the adaptive equalization algorithm, and generally selects only one path of filtering signals to simulate, so as to obtain a digital signal corresponding to the high-speed serial bus signal, and a clock signal recovered based on the digital signal, and outputs the digital signal and the clock signal to the digital logic module 130. Simulation platform 120 is, for example, a testbench program, but is not limited to, but may be any other application program having similar functionality. It can be appreciated that the testbench program is a simulation tool written in verilog language, and is not suitable for a large number of floating-point multiplication and addition operations, so that the problem of long simulation time occurs when a filter with a large number of parameters is operated in real time.
The digital logic module 130 stores digital logic of the adaptive equalization algorithm, so that the digital logic module 130 calculates digital signals under clock signals by using the digital logic of the adaptive equalization algorithm to obtain output parameters, and feeds the output parameters back to the simulation platform 120, so that the simulation platform 120 selects at least one path of filtered signals from the multiple paths of filtered signals provided by the data analysis program 110 for simulation based on the output parameters. Since the output parameters of the digital logic module 130 are specifically output to the analog devices modeled by the simulation platform 120, after the digital logic module 130 feeds back the output parameters to the analog devices in the simulation platform 120, the input parameters of the analog devices in the simulation platform 120 will change, and the output signals of the analog devices in the simulation platform 120 will also change accordingly, so that the adjustment process of the adaptive equalization algorithm is realized.
From the above, compared with the existing analog-digital hybrid simulation verification mode, the system shown in fig. 1 decouples the adaptive equalization algorithm into two parts, namely an analog device and a digital logic, the analog device part is modeled by the independent simulation platform 120, and the digital logic part is also stored in the independent digital logic module 130, that is, the digital logic of the adaptive equalization algorithm is built to be verified by the fast independent simulation platform, so that analog-digital hybrid simulation can be avoided, and the fast verification of the adaptive equalization algorithm is realized.
The system shown in fig. 1 also enables the filter to be independent from the analog devices of the adaptive equalization algorithm, builds an independent simulation platform aiming at other analog devices except the filter, models the filter in programs except the simulation platform, such as a data analysis program 110 shown in fig. 1, and finally simulates the high-speed serial bus signals generated by simulation by combining all the analog devices, so that the problem that the simulation platform has long simulation time due to a large number of parameters of the filter under the condition of high transmission rate of the high-speed serial interface can be avoided.
Still referring to fig. 1, an exemplary data analysis program 110 simulates and generates test codes of a high-speed serial bus, and makes the test codes pass through a sender feedforward equalizer (FFE), and adds a channel interference signal corresponding to the high-speed serial bus to obtain a high-speed serial bus signal. The test code of the high speed serial bus may be a random number of any prbs code pattern, such as prbs31, and is not limited herein. The channel interference signal corresponding to the high-speed serial bus may be an interference signal corresponding to a PCIE4 channel or a PCIE5 channel, which is not limited herein.
The high-speed serial bus signal is specifically a real-type signal, so that the amplitude of the analog signal can be precisely in decimal, that is, even if the analog signal is more precise, the high-speed serial bus signal can be used for improving the accuracy of the high-speed serial bus signal generated by the data analysis program 110 in a simulation manner, and finally, the verification effect of the self-adaptive equalization algorithm can be improved.
The data analysis program 110 also traverses preset sets of filter parameters to filter the analog generated high-speed serial bus signals, and stores the obtained filtered signals in different named files, so as to obtain corresponding multipath filtered signals, that is, one path of filtered signals is stored in each named file. The named file may be, for example, a txt file.
The simulation platform 120 obtains a simulation circuit by modeling other simulation devices except for a filter in the simulation devices of the adaptive equalization algorithm, and as shown in fig. 1, the simulation circuit includes a Multiplexer (MUX) 121, a Decision Feedback Equalizer (DFE) 122, an analog-to-digital converter (a/D) 123 and a clock recovery unit (CDR) 124, which are sequentially connected, and a signal input end of the decision feedback equalizer 122 is further connected to a signal output end of the analog-to-digital converter 123. The multiplexer 121 selects at least one filtered signal from the multiple filtered signals provided by the data analysis program 110 according to the received output parameters of the digital logic module 130, and outputs the selected filtered signal to the decision feedback equalizer 122. The decision feedback equalizer 122 performs interference cancellation on the filtered signal output from the multiplexer 121 according to the received output parameters of the digital logic module 130 and the digital signal output from the analog-to-digital converter 123. The analog-to-digital converter 123 outputs a digital signal corresponding to the high-speed serial bus signal, which is specifically composed of data rx_data, phase rx_phase, and flag bit rx_error of the data error, and the decision feedback equalizer 122 and the clock recovery unit 124 may receive only rx_data and rx_phase. The clock signal output by the clock recovery unit 124 is recovered from the digital signal output by the analog-to-digital converter.
From the above, the output parameters calculated by the digital logic of the adaptive equalization algorithm are fed back to the multiplexer 121 and the decision feedback equalizer 122, so that after the input parameters of the multiplexer 121 and the decision feedback equalizer 122 are changed, the output signals of the multiplexer 121 and the decision feedback equalizer 122 are correspondingly changed, thereby realizing the adjustment process of the adaptive equalization algorithm.
In the system shown in fig. 1, the output signal of the multiplexer 121 is also sent back to the data analysis program 110, so that the data analysis program 110 performs data analysis and/or eye pattern drawing processing on the output signal of the multiplexer 121. Thus, the verification effect of the adaptive equalization algorithm can be rapidly determined by the data analysis result obtained by the data analysis program 110 and/or the digital signal pattern drawn by the data analysis program 110.
The emulation platform 120 can also configure the registers of the digital logic module 130 and the clock recovery unit 124 accordingly to enable configuration of specific parameters for the digital logic module 130 and the clock recovery unit 124.
With continued reference to fig. 2, fig. 2 is a schematic diagram of a simulation circuit modeled in the simulation platform 120 shown in fig. 1, and it can be seen that the decision feedback equalizer 122 is mainly composed of an adder, a subtractor and a digital-to-analog converter (D/a). The function of the decision feedback equalizer 122 is to cancel the sampled interference of the input signal and reduce the intersymbol interference. Specifically, the decision feedback equalizer 122 calculates an adjustment code, for example, denoted as c1, c2, and c3, for adjusting the sampling interference of the input signal by using a least mean square algorithm (lms algorithm), calculates preset bits of the digital signal output from the analog-to-digital converter 123 by using the adjustment codes, performs digital-to-analog conversion on the obtained operation result, and then adds the obtained operation result to obtain an operation result signal, and finally subtracts the operation result signal from the output signal of the filter 121 to obtain an output signal of the decision feedback equalizer 122. The least mean square algorithm may be provided by the digital logic module 130, i.e., the least mean square algorithm may be considered as the digital portion of the decision feedback equalizer 122.
The process of calculating the preset bits of the digital signal output from the analog-to-digital converter 123 by the decision feedback equalizer 122 can be expressed as:. It should be appreciated that since the digital signal output by the analog-to-digital converter 123 is a digital signal, i.e., bit data, rx_data [0 ]]Rx_data [1 ] as the currently received bit of decision feedback equalizer 122]、rx_data[2]、rx_data[3]Then the previous, previous two, previous three bits representing the current reception.
The clock recovery unit 124 recovers a clock in real time from input data and outputs a clock signal. Referring to fig. 3, fig. 3 is a schematic diagram of a clock recovery unit in the simulation platform 120 shown in fig. 1, where the clock recovery unit 124 includes a phase detector, a digital filter, a digital-to-analog converter, and a voltage-controlled oscillator (VCO) connected in sequence, and a signal output end of the VCO is further connected to a signal input end of the phase detector, so as to input an output clock signal as a feedback signal to the phase detector. The phase detector outputs a control signal indicating whether an increase or decrease in frequency is required by comparing rx_data and rx_phase. The digital filter converts the control signal output by the phase discriminator and the value of the internal register into corresponding digital gain, the digital gain is converted into analog gain after passing through the digital-to-analog converter, and the frequency of the voltage-controlled oscillator is controlled to change. The voltage controlled oscillator outputs a clock signal.
The specific principle of the phase detector is that when the signal rx_data [1:0] is the rising edge 01, and rx_phase=1, or when the signal rx_data [1:0] is the falling edge 10, and rx_phase=0, the signal delay is indicated, and the output frequency of the voltage-controlled oscillator needs to be increased, so that the control signal late is output. When the signal rx_data [1:0] is the rising edge 01, and rx_phase=0, or when the signal rx_data [1:0] is the falling edge 10, and rx_phase=1, the signal is advanced, and the output frequency of the voltage-controlled oscillator needs to be reduced, so that the control signal early is output.
The digital filter outputs a digital value of the amplitude to be adjusted according to the late or early. The digital-to-analog converter converts the digital value to be adjusted into an analog value and outputs the analog value to the voltage-controlled oscillator.
And the voltage-controlled oscillator restores the clock after signal adjustment according to the received analog value and outputs a clock signal. If the high-speed serial bus signal generated by simulation is assumed to be a signal obtained by sampling a signal with the frequency of 12.5G by 8 times, namely a signal with the frequency of 100G, the simulation platform 120 provides a reference clock signal with the frequency of 100G, and the voltage-controlled oscillator generates a clock signal clock with the frequency of 12.5G +/-an analog value to be adjusted.
It will be appreciated that each of the analog devices shown in fig. 1-3 modeled in the simulation platform 120 are understood to be functional modules linked on the simulation platform 120. For example, if the simulation platform 120 is implemented as a testbench program, the multiplexer 121 is a module for implementing the multiplexer function written according to the principle of the multiplexer using verilog language, and is linked to the testbench program. Similarly, the phase discriminator is also a module which is written by using verilog language according to the principle of the phase discriminator and realizes the function of the phase discriminator, namely, according to rx_data and rx_phase, the frequency needs to be increased or decreased, and the frequency needs to be increased or decreased is linked into a testbench program. The modeling principle of each other analog device is the same, and a detailed description is omitted here.
Based on the simulation verification system of the self-adaptive equalization algorithm of the high-speed serial interface, the embodiment of the application also provides a simulation verification method of the self-adaptive equalization algorithm of the high-speed serial interface. The method may be specifically executed by a computer, a notebook computer, or the like, and is not limited thereto. Referring to fig. 4, the method includes S410-S430, which are described in detail as follows:
s410, simulating to generate a high-speed serial bus signal, traversing a plurality of groups of filter parameters to respectively filter the high-speed serial bus signal, and correspondingly obtaining a plurality of paths of filter signals.
As described above, in the high-speed serial bus data transmission scenario, due to interference on the communication channel, the digital signal needs to be recovered after the received signal is filtered at the receiving end. The channels are long or short, meanwhile, the uncertain factors of interference are more, and the receiving end needs to realize an adaptive equalization algorithm to meet the requirements of different channels. Based on this, in order to realize simulation verification for the adaptive equalization algorithm, a high-speed serial bus signal of the transmitting end needs to be simulated, and the high-speed serial bus signal generated by simulation is input to the receiving end.
The test code of the high-speed serial bus can be generated through simulation, the test code passes through a feedforward equalizer to obtain an adjusting signal corresponding to the test code, and then a channel interference signal corresponding to the high-speed serial bus is added to the adjusting signal to obtain a high-speed serial bus signal. The test code of the high speed serial bus may be a random number of any prbs code pattern, such as prbs31, and is not limited herein. The high-speed serial bus signal is a real signal, so that the amplitude of the analog signal is more accurate, the accuracy of the high-speed serial bus signal generated by analog can be improved, and the verification effect of the self-adaptive equalization algorithm can be improved.
And then, traversing a plurality of groups of filter parameters to filter the high-speed serial bus signals respectively, and storing the obtained filtered signals in different named files respectively to obtain multipath filtered signals. It will be appreciated that the sets of filter parameters are preset, and each set of filter parameters may achieve a different filtering effect.
Illustratively, it is understood that the filter comprises an attenuator, a continuous time linear equalizer, and a voltage gain amplifier connected in sequence. The attenuator is used for attenuating the amplitude of the input signal. The continuous-time linear equalizer is used to attenuate low frequency components of the input signal and amplify high frequency components near the nyquist of the input signal. The voltage gain amplifier is used for amplifying an input signal. It will be appreciated that the attenuator, continuous-time linear equalizer and voltage gain amplifier are all functionally filters, i.e., the attenuator, continuous-time linear equalizer and voltage gain amplifier are all configured to perform a one-stage filtering of the input signal, so that the filter is capable of performing a multi-stage filtering process on the input high-speed serial bus signal.
The method comprises the steps of obtaining configuration parameter type sets corresponding to an attenuator, a continuous time linear equalizer and a voltage gain amplifier respectively, selecting one configuration parameter type from the configuration parameter type sets corresponding to the attenuator, the continuous time linear equalizer and the voltage gain amplifier respectively for multiple times, and sequentially combining the configuration parameter types to obtain multiple groups of filter parameters.
In another exemplary embodiment, by selecting any two analog devices from the attenuator, the continuous-time linear equalizer and the voltage gain amplifier each time, fixing the configuration parameter type of the selected analog device, selecting one configuration parameter type from the configuration parameter set of the unselected analog device, then sequentially combining the fixed two configuration parameter types and the selected one configuration parameter type in the order corresponding to the attenuator, the continuous-time linear equalizer and the voltage gain amplifier to obtain a set of filter parameters, and finally obtaining a plurality of groups of filter parameters.
S420, selecting at least one path of filtering signals from the multipath filtering signals to simulate according to the output parameters of the digital logic of the self-adaptive equalization algorithm on the simulation platform, and obtaining digital signals corresponding to the high-speed serial bus signals and clock signals recovered based on the digital signals.
According to the embodiment, the simulation circuit is obtained by modeling other simulation devices except the filter in the simulation devices of the self-adaptive equalization algorithm on the simulation platform, and then at least one path of filtering signals corresponding to the high-speed serial bus signals are input into the simulation circuit, so that the digital signals output by the analog-to-digital converter and the clock signals output by the clock recovery unit can be obtained.
As shown in fig. 1-3, the simulation circuit includes a multiplexer, a decision feedback equalizer, an analog-to-digital converter, and a clock recovery unit connected in sequence. The multiplexer selects at least one path of filtering signals from the multiple paths of filtering signals obtained in S410 to output to the decision feedback equalizer according to the received output parameters obtained by digital logic calculation using the adaptive equalization algorithm, and typically selects one path of filtering signals to output. And the decision feedback equalizer performs interference elimination on the filtered signal output by the multiplexer according to the received output parameters obtained by digital logic calculation of the adaptive equalization algorithm and the digital signal output by the analog-to-digital converter. The analog-to-digital converter outputs a digital signal corresponding to the high-speed serial bus signal. The clock signal output by the clock recovery unit is recovered from the digital signal output by the analog-to-digital converter.
The decision feedback equalizer is composed of adder, subtracter and digital-to-analog converter. The decision feedback equalizer is also connected with the signal output end of the analog-to-digital converter, and is used for performing digital-to-analog conversion on an operation result obtained by performing least mean square operation on preset bits of a digital signal output by the analog-to-digital converter, adding the operation result to obtain an operation result signal, and outputting a signal obtained by subtracting the operation result signal from an output signal of the filter.
The clock recovery unit comprises a phase detector, a digital filter, a digital-to-analog converter and a voltage-controlled oscillator which are sequentially connected, wherein the signal output end of the voltage-controlled oscillator is also connected with the signal input end of the phase detector, and is used for inputting an output clock signal to the phase detector as a feedback signal. The phase detector outputs a control signal indicating whether an increase or decrease in frequency is required by comparing a signal contained in the digital signal with a phase. The digital filter converts the control signal output by the phase discriminator and the value of the internal register into corresponding digital gain, the digital gain is converted into analog gain after passing through the digital-to-analog converter, and the frequency of the voltage-controlled oscillator is controlled to change. The voltage controlled oscillator outputs a clock signal.
S430, calculating the digital signal under the clock signal by utilizing the digital logic of the self-adaptive equalization algorithm to obtain the output parameter, and feeding the output parameter back to the simulation platform to enable the simulation platform to update and select the filtering signal from the multipath filtering signal to simulate based on the received output parameter.
It can be seen that in this embodiment, the adaptive equalization algorithm is decoupled into two parts of an analog device and a digital logic, and a filter included in the analog device is independent, an independent simulation platform is built for the other analog device parts except the filter, the filter is modeled in a program other than the simulation platform, the simulation is performed on a high-speed serial bus signal generated by combining all the analog devices, the digital logic part also serves as an independent module, and output parameters are calculated by using the digital signal and the clock signal output by the simulation platform, and are fed back to the analog devices in the simulation platform. The output parameters calculated by the digital logic of the self-adaptive equalization algorithm are fed back to the multiplexer and the decision feedback equalizer, so that after the input parameters of the multiplexer and the decision feedback equalizer are changed, the output signals of the multiplexer and the decision feedback equalizer are correspondingly changed, and the adjustment process of the self-adaptive equalization algorithm is realized. In addition, compared with the prior art that analog-digital hybrid simulation is directly carried out on the self-adaptive equalization algorithm, the simulation verification speed of the self-adaptive equalization algorithm can be improved by decoupling an analog device and digital logic of the self-adaptive equalization algorithm. In addition, the filter operates independently of the simulation platform, so that the problem that the simulation platform has long simulation time due to a large number of parameters of the filter under the condition of high transmission rate of the high-speed serial interface can be avoided, and the simulation verification speed of the adaptive equalization algorithm can be further improved.
In other exemplary embodiments, the method may further acquire an output signal of the multipath filter, and perform data analysis processing and/or eye diagram drawing processing on the output signal of the multipath filter, so that the verification effect of the adaptive equalization algorithm may be rapidly determined through the obtained data analysis result and/or the drawn digital signal graph.
It should be noted that, the simulation verification method of the adaptive equalization algorithm of the high-speed serial interface provided by the above embodiment and the simulation verification system of the adaptive equalization algorithm of the high-speed serial interface provided by the above embodiment belong to the same concept, and details related to the method are described in detail in the system embodiment, which is not repeated here.
Fig. 5 is a block diagram of a simulation verification apparatus of an adaptive equalization algorithm of a high-speed serial interface, which is shown in an exemplary embodiment of the present application. As shown in fig. 5, the exemplary apparatus 500 includes:
the signal simulation module 510 is configured to simulate and generate a high-speed serial bus signal, and traverse multiple groups of filter parameters to filter the high-speed serial bus signal respectively, so as to obtain multiple paths of filtered signals correspondingly;
the analog device simulation module 520 is configured to select at least one path of filtering signal from the multiple paths of filtering signals according to an output parameter of digital logic of the adaptive equalization algorithm on a simulation platform to perform simulation, so as to obtain a digital signal corresponding to the high-speed serial bus signal, and a clock signal recovered based on the digital signal;
The digital logic calculation module 530 is configured to calculate a digital signal under a clock signal by using digital logic of the adaptive equalization algorithm, obtain an output parameter, and feed back the output parameter to the simulation platform, so that the simulation platform updates and selects a filtering signal from the multiple filtering signals to simulate based on the received output parameter.
In another exemplary embodiment, the signal simulation module 510 includes:
the signal generating unit is used for generating test codes of the high-speed serial bus in a simulation mode, and enabling the test codes to pass through the feedforward equalizer to obtain adjusting signals corresponding to the test codes;
the interference unit is used for adding a channel interference signal corresponding to the high-speed serial bus signal to the adjusting signal so as to obtain a high-speed serial bus signal;
and the filtering unit is used for traversing a plurality of groups of filter parameters, respectively filtering the high-speed serial bus signals, and respectively storing the obtained filtered signals in different named files.
In another exemplary embodiment, the exemplary apparatus 500 further comprises:
the parameter acquisition module is used for acquiring configuration parameter type sets respectively corresponding to the attenuator, the continuous time linear equalizer and the voltage gain amplifier;
And the parameter combination module is used for selecting one configuration parameter type from configuration parameter sets respectively corresponding to the attenuator, the continuous time linear equalizer and the voltage gain amplifier for a plurality of times and sequentially combining the configuration parameter types to obtain a plurality of groups of filter parameters.
In another exemplary embodiment, the parameter combination module includes:
a selecting unit, configured to select any two analog devices from the attenuator, the continuous-time linear equalizer and the voltage gain amplifier each time, fix a configuration parameter type of the selected analog device, and select a configuration parameter type from a configuration parameter set of an unselected analog device;
and the combination unit is used for sequentially combining the two fixed configuration parameter types and one selected configuration parameter type according to the corresponding sequence of the attenuator, the continuous time linear equalizer and the voltage gain amplifier so as to obtain a group of filter parameters. In another exemplary embodiment, the analog device emulation module 520 includes:
the modeling unit is used for modeling an analog device of the self-adaptive equalization algorithm on the simulation platform to obtain a simulation circuit, and the simulation circuit comprises a multiplexer, a decision feedback equalizer, an analog-to-digital converter and a clock recovery unit which are sequentially connected;
The processing unit is used for enabling the multiplexer to select at least one path of filtering signals from the multipath filtering signals according to the output parameters of the digital logic of the adaptive equalization algorithm, and inputting the selected at least one path of filtering signals into the simulation circuit to obtain digital signals output by the analog-to-digital converter and clock signals output by the clock recovery unit.
In another exemplary embodiment, the feedback equalizer is further connected to a signal output end of the analog-to-digital converter, and is configured to perform digital-to-analog conversion on an operation result obtained by performing least mean square operation on a preset bit of the digital signal output by the analog-to-digital converter, and then add the operation result to obtain an operation result signal, and subtract the operation result signal from an output signal of the filter to output the signal.
In another exemplary embodiment, the clock recovery unit includes a phase detector, a digital filter, a digital-to-analog converter, and a voltage-controlled oscillator connected in sequence, and a signal output terminal of the voltage-controlled oscillator is further connected to a signal input terminal of the phase detector, for inputting an output clock signal as a feedback signal to the phase detector.
It should be noted that, the simulation verification device of the adaptive equalization algorithm of the high-speed serial interface provided by the above embodiment and the simulation verification method of the adaptive equalization algorithm of the high-speed serial interface provided by the above embodiment belong to the same concept, and details of each module are described in detail in the method embodiment and the system embodiment, which are not described herein again. In practical application, the simulation verification device of the adaptive equalization algorithm of the high-speed serial interface provided by the embodiment can distribute the functions by different functional modules according to needs, namely, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above, and the simulation verification device is not limited in this place.
The embodiment of the application also provides electronic equipment, which comprises: one or more processors; and a memory for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the simulated verification method of the adaptive equalization algorithm of the high-speed serial interface provided in the above embodiments.
Embodiments of the present application also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of simulated verification of an adaptive equalization algorithm for a high speed serial interface as described above. The computer-readable storage medium may be included in the electronic device described in the above embodiment or may exist alone without being incorporated in the electronic device.
The computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. A computer program embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
Another aspect of the application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the network device flow guidance control method provided in the above embodiments.
The foregoing is merely illustrative of the preferred embodiments of the present application and is not intended to limit the embodiments of the present application, and those skilled in the art can easily make corresponding variations or modifications according to the main concept and spirit of the present application, so that the protection scope of the present application shall be defined by the claims.
Claims (10)
1. The simulation verification method of the self-adaptive equalization algorithm of the high-speed serial interface is characterized in that the self-adaptive equalization algorithm is decoupled into an analog device and digital logic, a filter in the analog device is modeled in a data analysis program, and other analog devices are simulated on a simulation platform, and the method comprises the following steps:
Simulating in the data analysis program to generate a high-speed serial bus signal, traversing a plurality of groups of filter parameters to respectively filter the high-speed serial bus signal, and correspondingly obtaining a multipath filtering signal;
selecting at least one path of filtering signals from the multipath filtering signals to simulate according to the output parameters of the digital logic of the self-adaptive equalization algorithm on the simulation platform to obtain digital signals corresponding to the high-speed serial bus signals and clock signals recovered based on the digital signals;
and calculating the digital signal under the clock signal by utilizing the digital logic of the self-adaptive equalization algorithm to obtain an output parameter, and feeding the output parameter back to the simulation platform to enable the simulation platform to update and select a filtering signal from the multipath filtering signals to simulate based on the received output parameter.
2. The method of claim 1, wherein simulating the generation of the high-speed serial bus signal in the data analysis program and traversing the plurality of sets of filter parameters to filter the high-speed serial bus signal, respectively, and obtaining the multipath filtered signal, respectively, comprises:
Simulating to generate a test code of a high-speed serial bus, and enabling the test code to pass through a feedforward equalizer to obtain an adjusting signal corresponding to the test code;
adding a channel interference signal corresponding to a signal high-speed serial bus to the regulating signal to obtain the high-speed serial bus signal;
and traversing a plurality of groups of filter parameters to respectively filter the high-speed serial bus signals, and respectively storing the obtained filtered signals in different named files.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
acquiring configuration parameter type sets respectively corresponding to an attenuator, a continuous time linear equalizer and a voltage gain amplifier;
and selecting one configuration parameter type from configuration parameter sets corresponding to the attenuator, the continuous time linear equalizer and the voltage gain amplifier for multiple times, and sequentially combining the configuration parameter types to obtain the multiple groups of filter parameters.
4. The method of claim 3, wherein the selecting and sequentially combining one configuration parameter type from the configuration parameter sets corresponding to the attenuator, the continuous-time linear equalizer, and the voltage gain amplifier, respectively, a plurality of times, to obtain the plurality of sets of filter parameters, includes:
Selecting any two analog devices from the attenuator, the continuous time linear equalizer and the voltage gain amplifier each time, fixing the configuration parameter types of the selected analog devices, and selecting one configuration parameter type from a configuration parameter set of the unselected analog devices;
and combining the two fixed configuration parameter types and one selected configuration parameter type in sequence according to the corresponding sequence of the attenuator, the continuous time linear equalizer and the voltage gain amplifier to obtain a group of filter parameters.
5. A method according to claim 1 or 2, characterized in that the high-speed serial bus signal is a real type signal.
6. The method according to claim 1, wherein selecting at least one filtering signal from the multiple filtering signals for simulation according to the output parameters of the digital logic of the adaptive equalization algorithm on the simulation platform to obtain a digital signal corresponding to the high-speed serial bus signal, and recovering a clock signal based on the digital signal, comprises:
modeling an analog device of the self-adaptive equalization algorithm on the simulation platform to obtain a simulation circuit, wherein the simulation circuit comprises a multiplexer, a decision feedback equalizer, an analog-to-digital converter and a clock recovery unit which are sequentially connected;
And enabling the multiplexer to select at least one path of filtering signals from the multipath filtering signals according to the output parameters of the digital logic of the adaptive equalization algorithm, and inputting the at least one path of filtering signals into the simulation circuit to obtain the digital signals output by the analog-to-digital converter and the clock signals output by the clock recovery unit.
7. The method of claim 6, wherein the decision feedback equalizer is further connected to a signal output end of the analog-to-digital converter, and is configured to perform digital-to-analog conversion on an operation result obtained by performing least mean square operation on a preset bit of the digital signal output by the analog-to-digital converter, and then add the operation result to obtain an operation result signal, and subtract the operation result signal from the output signal of the filter to output the signal.
8. The method of claim 6, wherein the clock recovery unit comprises a phase detector, a digital filter, a digital-to-analog converter, and a voltage-controlled oscillator connected in sequence, and wherein a signal output terminal of the voltage-controlled oscillator is further connected to a signal input terminal of the phase detector, for inputting the output clock signal as a feedback signal to the phase detector.
9. The simulation verification system of the self-adaptive equalization algorithm of the high-speed serial interface is characterized in that the self-adaptive equalization algorithm is decoupled into an analog device and digital logic, the system comprises a data analysis program, a simulation platform and a digital logic module, a filter in the analog device is modeled in the data analysis program, the simulation platform is used for simulating other analog devices, and the digital logic module is used for storing the digital logic of the self-adaptive equalization algorithm, wherein:
the data analysis program simulates and generates a high-speed serial bus signal, and traverses a plurality of groups of filter parameters to respectively filter the high-speed serial bus signal, so as to correspondingly obtain a plurality of paths of filter signals;
the simulation platform selects at least one path of filtering signals from the multipath filtering signals for simulation according to the output parameters of the digital logic of the self-adaptive equalization algorithm to obtain digital signals corresponding to the high-speed serial bus signals and clock signals recovered based on the digital signals, and outputs the digital signals and the clock signals to the digital logic module;
the digital logic module calculates the digital signal under the clock signal by utilizing the digital logic of the self-adaptive equalization algorithm to obtain an output parameter, and feeds the output parameter back to the simulation platform, so that the simulation platform updates and selects a filtering signal from the multipath filtering signals to simulate based on the received output parameter.
10. The system of claim 9, wherein the simulation platform obtains a simulation circuit by modeling an analog device of the adaptive equalization algorithm, the simulation circuit comprises a multiplexer, a decision feedback equalizer, an analog-to-digital converter, and a clock recovery unit connected in sequence, and a signal input terminal of the decision feedback equalizer is further connected to a signal output terminal of the analog-to-digital converter, wherein:
the multiplexer selects at least one path of filtering signals from the multipath filtering signals according to the received output parameters of the digital logic module and inputs the at least one path of filtering signals into the simulation circuit;
the decision feedback equalizer performs interference elimination on the input filtering signal according to the received output parameters of the digital logic module and the digital signal output by the analog-to-digital converter;
the analog-to-digital converter outputs a digital signal corresponding to the high-speed serial bus signal;
the clock recovery unit outputs the clock signal.
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