CN111277429B - SerDes parameter screening method, device, system and readable storage medium - Google Patents
SerDes parameter screening method, device, system and readable storage medium Download PDFInfo
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- CN111277429B CN111277429B CN201811485132.2A CN201811485132A CN111277429B CN 111277429 B CN111277429 B CN 111277429B CN 201811485132 A CN201811485132 A CN 201811485132A CN 111277429 B CN111277429 B CN 111277429B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0813—Configuration setting characterised by the conditions triggering a change of settings
- H04L41/082—Configuration setting characterised by the conditions triggering a change of settings the condition being updates or upgrades of network functionality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
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Abstract
The invention discloses a SerDes parameter screening method, which comprises the following steps: when data corresponding to the SerDes parameter screening instruction is received, an eye pattern is generated based on the data, then when a first eye pattern meeting a preset condition exists in the eye pattern, an optimal parameter is determined based on a preset rule and the first eye pattern, and then when the first eye pattern meeting the preset condition exists in the eye pattern, the optimal parameter is determined based on the preset rule and the first eye pattern. The invention also discloses a device, a system and a readable storage medium. And screening out a qualified eye diagram through the characteristic parameters of the eye diagram, and further dynamically determining the optimal parameters of the SerDes according to a preset rule aiming at the qualified eye diagram, thereby realizing the intellectualization of the SerDes parameter configuration and improving the reliability and stability of a SerDes system.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a method, a device and a system for screening SerDes parameters and a readable storage medium.
Background
With the advance of internet to internet of things Technology, the popularization of 5G Technology, and the deep application of cloud computing big Data, people gradually enter an era of full digitalization business models for big videos generated by new audio-visual demands, the Technology integration is converting from ICT (Information and Communications Technology) to ICT + DT (Data Technology, Data processing Technology), the improvement of network capacity, personalized differentiated services and better user experience, so that massive Data streams and various Data levels are generated, and communication system equipment is integrated at higher speed and higher density.
At present, an integrated high-density and high-speed SerDes is a mainstream Time Division Multiplexing (TDM) and point-to-point (P2P) serial communication technology, which can improve the transmission speed of signals and reduce the communication cost, but SerDes parameters generally adopt a default configuration mode, which cannot meet the performance of SerDes systems in different scenes, and affects the reliability and stability of the SerDes systems.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a method for screening SerDes parameters, aiming at solving the technical problem that the configuration of the SerDes parameters is not intelligent.
In order to achieve the above object, the present invention provides a SerDes parameter screening method, comprising the steps of:
when data corresponding to the SerDes parameter screening instruction is received, generating an eye diagram based on the data;
determining whether a first eye pattern meeting a preset condition exists in the eye patterns or not based on the characteristic parameters corresponding to the eye patterns;
when a first eye pattern meeting a preset condition exists in the eye patterns, determining an optimal parameter based on a preset rule and the first eye pattern.
Further, in an embodiment, when there is a first eye pattern satisfying a preset condition in the eye patterns, the step of determining the optimal parameter based on a preset rule and the first eye pattern includes:
when first eye diagrams meeting preset conditions exist in the eye diagrams, acquiring system parameters corresponding to the first eye diagrams, and updating frequency values corresponding to the system parameters;
determining the optimal system parameter based on the frequency value.
Further, in an embodiment, the step of determining the optimal system parameter based on the frequency value comprises:
and acquiring a maximum frequency value based on the frequency value, and determining a system parameter corresponding to the maximum frequency value as an optimal system parameter.
Further, in an embodiment, the characteristic parameters corresponding to the eye pattern include eye height and eye width, and the step of determining whether a first eye pattern meeting a preset condition exists in the eye pattern based on the characteristic parameters corresponding to the eye pattern includes:
and when the eye height corresponding to the first eye pattern is greater than or equal to a first preset value and the eye width corresponding to the first eye pattern is greater than or equal to a second preset value, judging that the first eye pattern meeting preset conditions exists in the eye patterns.
Further, in one embodiment, the SerDes system includes a plurality of SerDes, and the method for selecting the SerDes parameters further includes the steps of:
respectively generating a comparison table of frequency values and system parameters based on the frequency values corresponding to the SerDes, wherein the frequency values in the comparison table are sorted from large to small;
selecting a preset number of system parameters from the first position of each comparison table, and determining whether the preset number of system parameters in each comparison table have the same system parameters at the same time;
when the same system parameters exist in the preset number of system parameters in each comparison table at the same time, the same system parameters are set as SerDes system parameters;
when the same system parameters do not exist in the preset number of system parameters in each comparison table, updating the preset number, continuing to execute the steps of selecting the preset number of system parameters from the head of each comparison table, and determining whether the same system parameters exist in the preset number of system parameters in each comparison table at the same time.
Further, in an embodiment, the step of updating the preset number when the preset number of system parameters in each comparison table do not have the same system parameter, continuing to select the preset number of system parameters from the head of each comparison table, and determining whether the preset number of system parameters in each comparison table simultaneously have the same system parameter includes:
when the same system parameters do not exist in the preset number of system parameters in each comparison table, updating the preset number, and determining whether the preset number is larger than the minimum column length of each comparison table;
when the preset number is larger than or equal to the minimum column length, updating the first preset value and the second preset value, and continuing to execute a step of determining whether a first eye pattern meeting preset conditions exists in the eye patterns based on characteristic parameters corresponding to the eye patterns;
and when the preset number is smaller than the minimum column length, continuing to execute the step of selecting the system parameters with the preset number from the first position of each comparison table and determining whether the system parameters with the preset number in each comparison table have the same system parameters at the same time.
Further, in an embodiment, after the step of determining the optimal parameter based on a preset rule and the first eye diagram when the first eye diagram meeting the preset condition exists in the eye diagrams, the method further includes:
and sending a feedback instruction including the optimal system parameter to a sending end so that the sending end updates the SerDes parameter corresponding to the sending end based on the optimal system parameter.
Further, in one embodiment, the screening device for SerDes parameters comprises:
the receiving module is used for generating an eye diagram based on data when the data corresponding to the SerDes parameter screening instruction is received;
the judging module is used for determining an optimal parameter based on a preset rule and a first eye pattern when the first eye pattern meeting a preset condition exists in the eye pattern;
the determining module is used for determining the optimal parameters based on a preset rule and a first eye pattern when the first eye pattern meeting a preset condition exists in the eye patterns.
In addition, to achieve the above object, the present invention also provides a SerDes system including: a memory, a processor, and a SerDes parameter filter stored on the memory and operable on the processor, the SerDes parameter filter, when executed by the processor, implementing the steps of any of the SerDes parameter screening methods described above.
In addition, to achieve the above object, the present invention further provides a readable storage medium having stored thereon a SerDes parameter screening program, which when executed by a processor, implements the steps of the SerDes parameter screening method according to any one of the above.
According to the method, when data corresponding to the SerDes parameter screening instruction are received, an eye pattern is generated based on the data, then whether a first eye pattern meeting a preset condition exists in the eye pattern is determined based on characteristic parameters corresponding to the eye pattern, and then when the first eye pattern meeting the preset condition exists in the eye pattern, an optimal parameter is determined based on a preset rule and the first eye pattern. And screening out a qualified eye diagram through the characteristic parameters of the eye diagram, and further dynamically determining the optimal parameters of the SerDes according to a preset rule aiming at the qualified eye diagram, thereby realizing the intellectualization of the SerDes parameter configuration and improving the reliability and stability of a SerDes system.
Drawings
Fig. 1 is a schematic structural diagram of a SerDes system in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a SerDes parameter screening method according to a first embodiment of the present invention;
FIG. 3 is a schematic diagram of a SerDes link of the present invention;
FIG. 4 is a schematic flow chart of a second embodiment of the SerDes parameter screening method of the present invention;
FIG. 5 is a schematic flow chart of a third embodiment of the SerDes parameter screening method of the present invention;
fig. 6 is a functional block diagram of an embodiment of the screening apparatus for SerDes parameters according to the present invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a SerDes system in a hardware operating environment according to an embodiment of the present invention.
The SerDes system in the embodiment of the invention can be a PC, and can also be a mobile terminal device with a display function, such as a smart phone, a tablet computer, an electronic book reader, a portable computer and the like.
As shown in fig. 1, the SerDes system may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the SerDes system architecture shown in fig. 1 does not constitute a limitation of SerDes systems, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, memory 1005, which is a type of computer storage medium, may include an operating system, a network communication module, a user interface module, and a filter for SerDes parameters.
In the SerDes system shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and processor 1001 may be used to invoke a filter of SerDes parameters stored in memory 1005.
In this embodiment, the SerDes system includes: the SerDes parameter screening method includes a memory 1005, a processor 1001 and a SerDes parameter screening program stored in the memory 1005 and capable of running on the processor 1001, wherein the steps of the SerDes parameter screening method provided by each embodiment of the present application are executed when the processor 1001 calls the SerDes parameter screening program stored in the memory 1005.
The invention also provides a method, and referring to fig. 2, fig. 2 is a schematic flow diagram of the SerDes parameter screening method according to the first embodiment of the invention.
SerDes is used in pairs, with a set of SerDes parameters including pre-emphasis coefficients and pre-equalization coefficients. Both ends of the SerDes link shown in fig. 3 are a SerDes transmitting end and a SerDes receiving end, respectively, and signals need to be processed according to SerDes parameters. Specifically, a SerDes transmitting end preprocesses a serial signal to be transmitted using a pre-emphasis coefficient, and a SerDes receiving end compensates a received serial signal using a pre-equalization coefficient to obtain more accurate data. In the invention, the data received by the SerDes receiving end is utilized to analyze so as to screen out the optimal system parameter, and the optimal system parameter is fed back to the SerDes sending end to configure the optimal system parameter.
In this embodiment, the SerDes parameter screening method includes:
step S100, when data corresponding to the SerDes parameter screening instruction is received, generating an eye diagram based on the data;
in the present embodiment, SerDes is an abbreviation for SERializer/DESerializer. It is a mainstream Time Division Multiplexing (TDM), point-to-point (P2P) serial communication technology. That is, the multi-path low-speed parallel signals are converted into high-speed serial signals at the transmitting end, and the high-speed serial signals are converted into low-speed parallel signals again at the receiving end through a transmission medium (an optical cable or a copper wire). The eye diagram is a plurality of output waveforms tested on a SerDes-embedded digital oscilloscope, which are accumulated based on amplitude versus time for a synchronous pseudorandom digital signal. The eye diagram provides a lot of useful information for showing the performance of a digital signal transmission system, and the size of the intersymbol interference and the strength of noise can be seen from the eye diagram, so that the influence of the intersymbol interference and the noise can be intuitively understood.
Specifically, according to the rating of the SerDes and the actual configuration condition of the system, a user can provide multiple sets of SerDes parameters, each set of parameters comprises a pre-emphasis coefficient and a pre-equalization coefficient, the parameters are stored in a preset storage area, when a SerDes parameter screening instruction is received, multiple sets of SerDes parameters are sequentially configured in the system according to a preset SerDes parameter configuration rule, a sending end sequentially sends data corresponding to different system parameters to a receiving end, wherein the preset SerDes parameter configuration rule can update one set of SerDes parameters to the system at preset time intervals, or update one set of SerDes parameters to the system after each set of data is sent, and the SerDes parameter configuration rule is not limited in the invention. Further, data corresponding to the SerDes parameter screening instruction is synchronously received at a SerDes receiving end, and an eye diagram is output by using a digital oscilloscope built in the SerDes.
Step S200, determining whether a first eye pattern meeting a preset condition exists in the eye pattern based on the characteristic parameters corresponding to the eye pattern;
in this embodiment, the eye diagram is an important basis for evaluating the link quality, and may reflect the degree of influence of intersymbol interference and noise on the link, that is, the quality of the signal may be quickly judged according to the shape characteristics of the eye diagram, and the larger the eye is, the more positive the eye diagram is, the smaller the intersymbol interference is; and conversely, the larger the intersymbol interference. The characteristic parameters of the eye pattern include eye height, eye width, eye amplitude, eye cross ratio, "1" level, "0" level, extinction ratio, Q factor, average power, and the like, wherein eye width and eye height are the most commonly used parameters for determining the shape of the eye pattern.
Specifically, step S200 includes:
step S210, when the eye height corresponding to the first eye pattern is greater than or equal to a first preset value and the eye width corresponding to the first eye pattern is greater than or equal to a second preset value, determining that a first eye pattern meeting preset conditions exists in the eye patterns;
in this embodiment, the shape of the eye pattern is determined by using the eye height and the eye width, and then whether the eye pattern is a qualified eye pattern is determined, specifically, when the eye height of the eye pattern is greater than or equal to a first preset value and the eye width of the eye pattern is greater than or equal to a second preset value, it is determined that the eye pattern meets a preset condition, that is, the eye pattern is a qualified eye pattern.
For example, the first predetermined value is 80, the second predetermined value is 0.5, and when the eye height EH of an eye pattern is greater than or equal to 80 and the eye width EW is greater than or equal to 0.5, the eye pattern is a qualified eye pattern.
Further, when the eye height of the eye pattern is smaller than a first preset value and the eye width of the eye pattern is smaller than a second preset value, the eye pattern is judged to not meet the preset condition, namely the eye pattern is a disqualified eye pattern.
For example, the first preset value is 80, the second preset value is 0.5, and when the eye height EH of an eye pattern is less than 80 or the eye width EW is less than 0.5, the eye pattern is a failed eye pattern.
Step S300, when a first eye pattern meeting a preset condition exists in the eye patterns, determining an optimal parameter based on a preset rule and the first eye pattern.
In this embodiment, when the eye pattern meets the preset condition, the eye pattern is a qualified eye pattern, and the eye pattern can directly reflect the quality of the received data, that is, the data quality corresponding to the qualified eye pattern is better. Even if the same data is sent, the eye diagrams corresponding to the data sent by different SerDes system parameters are different, so the eye diagrams reflect the quality of the data and further reflect the quality of the SerDes parameters, and the optimal SerDes parameters can be determined based on the preset rules and the qualified eye diagrams.
Further, in an embodiment, after step S300, the method further includes: and sending a feedback instruction including the optimal system parameter to a sending end so that the sending end updates the SerDes parameter corresponding to the sending end based on the optimal system parameter.
In this embodiment, after determining the optimal parameters according to the eye diagram generated by the receiving end receiving the data, the receiving end sends a feedback instruction to the sending end to notify the sending end that SerDes parameter screening has been completed, and sends the related information of the optimal system parameters to the sending end, and the sending end updates the SerDes parameters corresponding to the sending end according to the optimal system parameters.
In the SerDes parameter screening method provided by this embodiment, when data corresponding to a SerDes parameter screening instruction is received, an eye pattern is generated based on the data, then whether a first eye pattern meeting a preset condition exists in the eye pattern is determined based on a characteristic parameter corresponding to the eye pattern, and then when the first eye pattern meeting the preset condition exists in the eye pattern, an optimal parameter is determined based on a preset rule and the first eye pattern. And screening out a qualified eye diagram through the characteristic parameters of the eye diagram, and further dynamically determining the optimal parameters of the SerDes according to a preset rule aiming at the qualified eye diagram, thereby realizing the intellectualization of the SerDes parameter configuration and improving the reliability and stability of a SerDes system.
Based on the first embodiment, a second embodiment of the SerDes parameter screening method of the present invention is provided, and referring to fig. 4, in this embodiment, step S300 includes:
step S310, when first eye diagrams meeting preset conditions exist in the eye diagrams, acquiring system parameters corresponding to the first eye diagrams, and updating frequency values corresponding to the system parameters;
in this embodiment, when the eye pattern meets the preset condition, the corresponding system parameters are further determined according to the data corresponding to the eye pattern, it should be noted that there are multiple sets of system parameters, different eye patterns correspond to different system parameters, and frequency values corresponding to the system parameters are further accumulated, where the frequency values are the number of qualified eye patterns recorded corresponding to the system parameters, that is, the sum of the frequency values corresponding to all the system parameters is the total number of qualified eye patterns.
Step S320, determining the optimal system parameter based on the frequency value.
In this embodiment, each set of system parameters corresponds to a frequency value, and under a certain condition, when the receiving end receives all data, the frequency value corresponding to the system parameter is updated, and then the optimal system parameter is determined according to each frequency value.
Specifically, step S320 includes:
step S321, obtaining a maximum frequency value based on the frequency value, and determining a system parameter corresponding to the maximum frequency value as an optimal system parameter.
In this embodiment, the frequency value is the number of qualified eye diagrams corresponding to the system parameter, and a larger frequency value indicates that the qualified eye diagrams corresponding to the system parameter are more, thereby indicating that the set of system parameters is better. Specifically, the frequency values are compared to determine a maximum frequency value, and the system parameter corresponding to the maximum frequency value is the optimal system parameter.
In the SerDes parameter screening method provided in this embodiment, when a first eye diagram satisfying a preset condition exists in the eye diagrams, system parameters corresponding to each first eye diagram are obtained, frequency values corresponding to the system parameters are updated, and then the optimal system parameters are determined based on the frequency values. The optimal parameters of the SerDes are dynamically determined according to the number of qualified eye diagrams corresponding to the system parameters, so that the intelligence of the SerDes parameter configuration is realized, and the reliability and the stability of the SerDes system are improved.
Based on the second embodiment, a third embodiment of the SerDes parameter screening method of the present invention is provided, and referring to fig. 5, in this embodiment, a SerDes system includes a plurality of SerDes, and the SerDes parameter screening method further includes:
step S400, respectively generating a comparison table of frequency values and system parameters based on the frequency values corresponding to the SerDes, wherein the frequency values in the comparison table are sorted from large to small;
in this embodiment, the SerDes system includes multiple SerDes, and this embodiment screens multiple SerDes for a common SerDes system parameter.
Specifically, each SerDes has a plurality of frequency values, the frequency values correspond to system parameters one to one, the frequency values are the number of qualified eye diagrams corresponding to the system parameters, and the larger the frequency value is, the better the system parameter is, so each SerDes can generate a comparison table of the frequency values and the system parameters, and the frequency values are sorted in the order from large to small, that is, the system parameters are sorted from optimal to suboptimal.
Step S500, selecting a preset number of system parameters from the first position of each comparison table, and determining whether the preset number of system parameters in each comparison table have the same system parameters at the same time;
in this embodiment, a preset number of system parameters is selected from the first of each comparison table, where the preset number is determined according to an actual situation, and then it is determined whether the same system parameters exist in the preset number of system parameters in each comparison table at the same time. For example, the preset number is equal to 3, that is, each lookup table takes the first 3 sets of parameters, and then determines whether the same set of parameters exists in the first 3 sets of parameters of each lookup table.
Step S600, when the same system parameters exist in the preset number of system parameters in each comparison table at the same time, setting the same system parameters as SerDes system parameters;
in this embodiment, if the same system parameter exists in the preset number of system parameters in each lookup table at the same time, the same system parameter is set as the SerDes system parameter, that is, the system parameters of all SerDes in the SerDes system are updated to the same system parameter.
For example, a SerDes has 5 sets of parameters, which are set a, set b, set c, set d, and set e, respectively, assuming that a SerDes system has 3 pairs of SerDes, which are SerDes-1, SerDes-2, and SerDes-3, respectively, according to the method of the present invention, the generated frequency values are compared with the system parameters, for convenience of example, table 1 only presents the system parameters of each SerDes, the frequency values are omitted, and the system parameters are sorted from optimal to suboptimal. When the preset number is equal to 3, the front 3 groups of system parameters of the SerDes-1 are a group a, b group and c group; the first 3 sets of system parameters for SerDes-2 are set c, set b, set d; the first 3 sets of system parameters of SerDes-3 are set d, set c, and set a, so the same system parameter set c exists, and thus the system parameters of SerDes-1, SerDes-2, and SerDes-3 are all updated to be set c.
TABLE 1
| SerDes-1 | SerDes-2 | SerDes-3 |
| Group a | Group c | Group d |
| Group b | Group b | Group c |
| Group c | Group d | Group a |
| Group d | Group a | Group b |
| e group | e group | e group |
Step S700, when the same system parameter does not exist in the preset number of system parameters in each comparison table, updating the preset number, continuing to perform the step of selecting the preset number of system parameters from the head of each comparison table, and determining whether the same system parameter exists in the preset number of system parameters in each comparison table at the same time.
In this embodiment, if the same system parameter does not exist in the preset number of system parameters in each comparison table, the preset number needs to be increased, the step is recommended to be 1, and then whether the same system parameter exists in the preset number of system parameters in each comparison table is determined again.
Specifically, step S700 includes:
step S710, when the same system parameters do not exist in the preset number of system parameters in each comparison table, updating the preset number, and determining whether the preset number is larger than the minimum column length of each comparison table;
in this embodiment, the minimum column length is the minimum column length in each comparison table, the preset number needs to be less than or equal to the minimum column length, and in the process of updating the preset number, it needs to be determined whether the preset number exceeds the minimum column length. Specifically, when the same system parameter does not exist in the preset number of system parameters in each comparison table, the preset number is updated, and whether the preset number is greater than the minimum column length of each comparison table is determined.
Step S720, when the preset number is greater than or equal to the minimum column length, updating the first preset value and the second preset value, and continuing to execute the step of determining whether a first eye diagram meeting preset conditions exists in the eye diagrams based on the characteristic parameters corresponding to the eye diagrams;
in this embodiment, when the preset number is greater than or equal to the minimum column length, it is indicated that the same system parameters do not exist in the current comparison tables, so that the system participation needs to be re-determined, and therefore, the first preset value and the second preset value are updated, the qualified eye diagram is re-determined, and then the system parameters are determined, that is, the step of determining whether the first eye diagram meeting the preset condition exists in the eye diagram based on the characteristic parameters corresponding to the eye diagram is continuously performed.
Step S730, when the preset number is smaller than the minimum column length, continuing to perform a step of selecting a preset number of system parameters from the first position of each comparison table, and determining whether the preset number of system parameters in each comparison table have the same system parameter at the same time.
In this embodiment, when the preset number is smaller than the minimum column length, the step of selecting the preset number of system parameters from the first position of each comparison table and determining whether the same system parameter exists in the preset number of system parameters in each comparison table is continuously performed.
For example, a SerDes has 5 sets of parameters, which are set a, set b, set c, set d, and set e, respectively, assuming that the SerDes system has 3 pairs of SerDes, which are SerDes-1, SerDes-2, and SerDes-3, respectively, according to the method of the present invention, the generated frequency value is compared with the system parameter, for convenience of example, table 1 only presents the system parameters of each SerDes, and the system parameters are sorted from optimal to suboptimal. When the preset number is equal to 2, the first 2 groups of system parameters of the SerDes-1 are a group a and a group b; the first 2 sets of system parameters for SerDes-2 are set c, set b; the front 2 groups of system parameters of the SerDes-3 are d groups and c groups, so the same system parameters do not exist, the preset number is increased, the preset number is updated to be 3, then whether the same system parameters exist in the front 3 items of each list is confirmed, and the same system parameter c group can be determined to exist through judgment, so the system parameters of the SerDes-1, the SerDes-2 and the SerDes-3 are all updated to be c group parameters.
The SerDes parameter screening method provided in this embodiment generates frequency values and comparison tables of system parameters based on frequency values corresponding to SerDes, where the frequency values in the comparison tables are sorted in descending order, then a preset number of system parameters are selected from the head of each comparison table, and it is determined whether the preset number of system parameters in each comparison table have the same system parameters at the same time, then when the preset number of system parameters in each comparison table have the same system parameters at the same time, the same system parameters are set as SerDes system parameters, and finally when the preset number of system parameters in each comparison table do not have the same system parameters, the preset number is updated, the selection of the preset number of system parameters from the head of each comparison table is continuously performed, and it is determined whether the preset number of system parameters in each comparison table have the same system parameters at the same time Step (2). And screening a common SerDes system parameter for a plurality of SerDes in the system according to the comparison table of the frequency value and the system parameter, thereby realizing the intellectualization of the configuration of the SerDes parameter and improving the reliability and stability of the SerDes system.
The invention further provides a screening device for SerDes parameters, and referring to fig. 6, fig. 6 is a functional module schematic diagram of an embodiment of the screening device for SerDes parameters.
In this embodiment, the SerDes parameter screening apparatus includes:
the receiving module 10 is used for generating an eye diagram based on data when receiving the data corresponding to the SerDes parameter screening instruction;
the judging module 20 determines whether a first eye pattern meeting a preset condition exists in the eye patterns based on the characteristic parameters corresponding to the eye patterns;
the determining module 30 determines the optimal parameter based on a preset rule and a first eye pattern when the first eye pattern meeting a preset condition exists in the eye patterns.
Further, the determining module 30 specifically includes:
the device comprises an acquisition unit, a frequency updating unit and a processing unit, wherein the acquisition unit is used for acquiring system parameters corresponding to each first eye pattern and updating frequency values corresponding to the system parameters when the first eye patterns meeting preset conditions exist in the eye patterns;
a determination unit that determines the optimal system parameter based on the frequency value.
Further, the determining unit specifically includes:
and the sub-determining unit 1 is used for obtaining a maximum frequency value based on the frequency value and determining the system parameter corresponding to the maximum frequency value as an optimal system parameter.
Further, the determining module 20 specifically includes:
the sub-judgment unit is used for judging that a first eye pattern meeting a preset condition exists in the eye patterns when the eye height corresponding to the first eye pattern is larger than or equal to a first preset value and the eye width corresponding to the first eye pattern is larger than or equal to a second preset value;
further, the screening device for SerDes parameters further comprises:
the generating unit is used for respectively generating a comparison table of frequency values and system parameters based on the frequency values corresponding to the SerDes, wherein the frequency values in the comparison table are sequenced from large to small;
the system comprises a selecting unit 1, a comparing unit and a judging unit, wherein the selecting unit selects a preset number of system parameters from the head of each comparison table and determines whether the same system parameters exist in the preset number of system parameters in each comparison table at the same time;
a setting unit, configured to set the same system parameters as SerDes system parameters when the same system parameters coexist in the preset number of system parameters in each comparison table;
and the updating unit is used for updating the preset number when the same system parameters do not exist in the preset number of system parameters in each comparison table, continuously executing the step of selecting the preset number of system parameters from the head of each comparison table, and determining whether the same system parameters exist in the preset number of system parameters in each comparison table at the same time.
Further, the update unit includes:
a sub-determining unit 2, configured to update the preset number when the preset number of system parameters in each comparison table do not have the same system parameter, and determine whether the preset number is greater than the minimum column length of each comparison table;
the sub-updating unit is used for updating the first preset value and the second preset value when the preset number is larger than or equal to the minimum column length, and continuously executing the step of determining whether a first eye pattern meeting preset conditions exists in the eye patterns based on the characteristic parameters corresponding to the eye patterns;
and the selecting unit 2 continues to select the system parameters with the preset number from the first position of each comparison table when the preset number is smaller than the minimum column length, and determines whether the system parameters with the preset number in each comparison table have the same system parameter at the same time.
Further, the screening device for SerDes parameters further comprises:
and the sending unit is used for sending a feedback instruction comprising the optimal system parameter to a sending end so that the sending end updates the SerDes parameter corresponding to the sending end based on the optimal system parameter.
In addition, an embodiment of the present invention further provides a readable storage medium, where a SerDes parameter screening program is stored on the readable storage medium, and when executed by a processor, the SerDes parameter screening program implements the steps of the SerDes parameter screening methods in the above embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the description of the foregoing embodiments, it is clear to those skilled in the art that the method of the foregoing embodiments may be implemented by software plus a necessary general hardware platform, and certainly may also be implemented by hardware, but in many cases, the former is a better implementation. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a SerDes system device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. A SerDes parameter screening method is applied to a SerDes system, and the SerDes parameter selecting method comprises the following steps:
when data corresponding to the SerDes parameter screening instruction is received, generating an eye diagram based on the data;
determining whether a first eye pattern meeting a preset condition exists in the eye patterns or not based on characteristic parameters corresponding to the eye patterns, wherein the characteristic parameters corresponding to the eye patterns comprise eye height and eye width;
when the eye height corresponding to the first eye pattern is larger than or equal to a first preset value and the eye width corresponding to the first eye pattern is larger than or equal to a second preset value, judging that the first eye pattern meeting preset conditions exists in the eye patterns;
when a first eye pattern meeting preset conditions exists in the eye patterns, determining optimal system parameters based on preset rules and the first eye pattern;
the SerDes system comprises a plurality of SerDes, and the selection method of the SerDes parameters further comprises the following steps:
respectively generating a comparison table of frequency values and system parameters based on the frequency values corresponding to the SerDes, wherein the frequency values in the comparison table are sorted from large to small;
selecting a preset number of system parameters from the first position of each comparison table, and determining whether the preset number of system parameters in each comparison table have the same system parameters at the same time;
when the same system parameters exist in the preset number of system parameters in each comparison table at the same time, the same system parameters are set as SerDes system parameters;
when the same system parameters do not exist in the preset number of system parameters in each comparison table, updating the preset number, continuing to execute the steps of selecting the preset number of system parameters from the head of each comparison table, and determining whether the same system parameters exist in the preset number of system parameters in each comparison table at the same time.
2. The SerDes parameter screening method of claim 1, wherein the determining optimal system parameters based on a preset rule and a first eye pattern when the first eye pattern satisfying a preset condition exists in the eye patterns comprises:
when first eye diagrams meeting preset conditions exist in the eye diagrams, acquiring system parameters corresponding to the first eye diagrams, and updating frequency values corresponding to the system parameters;
determining the optimal system parameter based on the frequency value.
3. The SerDes parameter screening method of claim 2, wherein the step of determining the optimal system parameter based on the frequency value comprises:
and acquiring a maximum frequency value based on the frequency value, and determining a system parameter corresponding to the maximum frequency value as an optimal system parameter.
4. The SerDes parameter screening method of claim 1, wherein the step of updating the predetermined number when the predetermined number of system parameters in each lookup table do not have the same system parameters, continuing to select the predetermined number of system parameters from the first of each lookup table, and determining whether the predetermined number of system parameters in each lookup table have the same system parameters at the same time comprises:
when the same system parameters do not exist in the preset number of system parameters in each comparison table, updating the preset number, and determining whether the preset number is larger than the minimum column length of each comparison table;
when the preset number is larger than or equal to the minimum column length, updating the first preset value and the second preset value, and continuing to execute a step of determining whether a first eye pattern meeting preset conditions exists in the eye patterns based on characteristic parameters corresponding to the eye patterns;
and when the preset number is smaller than the minimum column length, continuing to execute the step of selecting the system parameters with the preset number from the first position of each comparison table and determining whether the system parameters with the preset number in each comparison table have the same system parameters at the same time.
5. The SerDes parameter screening method of claim 1, wherein the step of determining optimal system parameters based on a preset rule and a first eye pattern when the first eye pattern satisfying a preset condition exists in the eye patterns further comprises:
and sending a feedback instruction including the optimal system parameter to a sending end so that the sending end updates the SerDes parameter corresponding to the sending end based on the optimal system parameter.
6. A SerDes parameter screening apparatus for use in a SerDes system, the SerDes parameter screening apparatus comprising:
the receiving module is used for generating an eye diagram based on data when the data corresponding to the SerDes parameter screening instruction is received;
the judging module is used for determining whether a first eye pattern meeting preset conditions exists in the eye pattern based on characteristic parameters corresponding to the eye pattern, wherein the characteristic parameters corresponding to the eye pattern comprise eye height and eye width;
the judging module comprises a judging unit, and when the eye height corresponding to the first eye pattern is greater than or equal to a first preset value and the eye width corresponding to the first eye pattern is greater than or equal to a second preset value, the judging unit judges that a first eye pattern meeting preset conditions exists in the eye patterns;
the determining module is used for determining optimal system parameters based on a preset rule and a first eye pattern when the first eye pattern meeting a preset condition exists in the eye pattern;
the SerDes system includes a plurality of SerDes, the determining module includes:
the generating unit is used for respectively generating a comparison table of frequency values and system parameters based on the frequency values corresponding to the SerDes, wherein the frequency values in the comparison table are sequenced from large to small;
the selecting unit is used for selecting a preset number of system parameters from the head of each comparison table and determining whether the same system parameters exist in the preset number of system parameters in each comparison table at the same time;
a setting unit, configured to set the same system parameters as SerDes system parameters when the same system parameters coexist in the preset number of system parameters in each comparison table;
and the updating unit is used for updating the preset number when the same system parameters do not exist in the preset number of system parameters in each comparison table, continuously executing the step of selecting the preset number of system parameters from the head of each comparison table, and determining whether the same system parameters exist in the preset number of system parameters in each comparison table at the same time.
7. A SerDes system, comprising: a memory, a processor, and a filter of SerDes parameters stored on the memory and executable on the processor, the filter of SerDes parameters when executed by the processor implementing the steps of the SerDes parameter screening method of any of claims 1-5.
8. A readable storage medium having stored thereon a filter of the SerDes parameters, which when executed by a processor, performs the steps of the SerDes parameter filtering method of any one of claims 1-5.
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| CN201811485132.2A CN111277429B (en) | 2018-12-05 | 2018-12-05 | SerDes parameter screening method, device, system and readable storage medium |
| PCT/CN2019/121050 WO2020114282A1 (en) | 2018-12-05 | 2019-11-26 | Serdes parameter screening method, device, system, and readable storage medium |
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| CN117155838A (en) * | 2023-11-01 | 2023-12-01 | 成都市楠菲微电子有限公司 | Parameter screening method, system, computer equipment and medium based on SerDes |
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