TW202410671A - Optimization system for composite equalizer and method thereof - Google Patents

Abstract

An optimization system for composite equalizer and method thereof is disclosed. By providing a plurality of equalizers and taking the degree of influence of an acquired signal by Inter-Symbol Interference (ISI) as the basis for the optimization of the equalizer, where the ISI of the signal is calculated from the impulse response of the channel, and perform peak distortion analysis to superimpose the ISI with a current cursor to obtain the response curve and then obtain a corresponding eye pattern, and choose the best equalizer combination with equalization effect and stability according to eye height and eye width. The mechanism is help to improve the signal integrity and stability at the high-speed signal transmission.

Description

Composite equalizer optimization system and method

The present invention relates to an optimization system and method thereof, and in particular to an optimization system and method thereof for a composite equalizer.

In recent years, with the popularization and vigorous development of semiconductor technology, the size of chips has become smaller and smaller, and the running speed has become faster and faster. However, high speed also causes many problems, such as: Inter-Symbol Interference (Inter-Symbol) Interference, ISI).

Generally speaking, in traditional digital communication systems, because the channel is a non-ideal channel, inter-symbol interference will occur, which will cause demodulation errors, thereby reducing system performance. Inter-symbol interference in general channels means that the signal of one code affects several codes backwards. However, in some data communication channels, it will cause long inter-symbol interference problems.

In view of this, some manufacturers have proposed pulse wave shape design or equalization technology. The former is to reduce the interference to subsequent codes at the receiving end by designing a good pulse shape of the code signal; the latter is to design an equalizer (Equalizer) at the receiving end for equalization processing (Equalization) to compensate for the channel The channel effect makes it close to ideal and eliminates inter-symbol interference. However, simply using an equalizer does not achieve good results. Especially when the input/output (IO) is performing high-speed transmission, there is still the problem of poor signal stability.

In summary, it can be seen that the prior art has long had the problem of poor stability in high-speed signal transmission, so it is necessary to propose improved technical means to solve this problem.

The invention discloses an optimization system and method for a composite equalizer.

First, the present invention discloses an optimization system for a composite equalizer. The system includes multiple equalizers, a signal processing module, an execution module, a measurement module and a screening module. Wherein, the equalizer includes a continuous time linear equalizer (CTLE), a feed-forward equalizer (Feed-Forward Equalizer, FFE) and a decision feedback equalizer (Decision Feedback Equalizer, DFE). ;The signal processing module is used to receive the signal, perform equalization processing on the signal through the filter, and filter the single pulse response of the channel output, and use the maximum voltage value of the single pulse response as the mark (Cursor) and calculate the mark before The length, quantity and position of (Pre-cursor) and post-cursor (Post-cursor), in which the filter has changing filter coefficients; the execution module connects the signal processing module to use the pre-cursor and post-cursor parameters according to the Length, quantity and position, calculate the Inter-Symbol Interference (ISI) of the front mark and the rear mark respectively to obtain the absolute value of the sum of the inter-symbol interference, and perform Peak Distortion Analysis (PDA) Superimpose the inter-symbol interference and the current mark to obtain the response curve within the unit interval, and continuously execute M times of traversal to obtain the corresponding eye diagram of N parameters, where M and N are positive integers; the measurement module connection is executed Module and signal processing module are used to measure the response curve of the eye diagram to obtain the eye height and eye width, and after performing equalization processing, record the filter coefficient, eye height and eye width corresponding to the highest peak value based on the eye height. wide; and a screening module is connected to the equalizer, execution module and measurement module to sequentially screen continuous-time linear equalizers, feedforward equalizers and decision feedback in the equalizer. Equalizers are used to form multiple equalizer combinations, and peak distortion analysis is performed on each equalizer combination to obtain the corresponding eye height and eye width, and then equalization is selected based on the recorded and obtained eye height and eye width. The performance and stability of the above equalizer combination are the best.

In addition, the present invention also discloses a method for optimizing a compound equalizer, the steps of which include: providing a plurality of equalizers, the equalizers including a continuous-time linear equalizer, a feedforward equalizer and a decision feedback equalizer. receiver; receives the signal, performs equalization processing on the signal through the filter, and filters the single pulse response of the channel output, and uses the maximum voltage value of the single pulse response as a mark and calculates the length, number and position, where the filter has a constantly changing filter coefficient; according to the length, number and position of the front mark and the rear mark, the inter-symbol interference of the front mark and the rear mark is calculated respectively to obtain the absolute value of the sum of the inter-symbol interference , and perform peak distortion analysis to superimpose the inter-symbol interference with the current marker to obtain the response curve within the unit interval, and continuously perform M times of traversal to obtain the corresponding eye diagram of N parameters, where M and N are positive integers. ; Measure the response curve of the eye diagram to obtain the eye height and eye width, and after performing the equalization process, record the filter coefficient, eye height and eye width corresponding to the highest peak value based on the eye height; and in the equalizer , sequentially screen continuous-time linear equalizers, feedforward equalizers and decision feedback equalizers to form multiple equalizer combinations, and perform peak distortion analysis on each of the equalizer combinations to obtain the corresponding The eye height and eye width are recorded, and then the equalizer combination with the best equalization effect and stability is selected based on the recorded and obtained eye height and eye width.

The system and method disclosed by the present invention are as above. The difference from the prior art is that the present invention provides a plurality of equalizers with different structures, and uses the degree of the acquired signal affected by inter-symbol interference as the basis for equalizer optimization. , among which, the inter-symbol interference of the signal is calculated based on the single pulse response of the channel, and peak distortion analysis is performed to superimpose the ISI and the current marker to obtain the response curve and then the corresponding eye diagram, and according to the eye height and eye width selection, etc. It is the best equalizer combination for both equalization effect and stability.

Through the above technical means, the present invention can achieve the technical effect of improving signal integrity and stability of high-speed signal transmission.

The embodiments of the present invention will be described in detail below with reference to the drawings and examples, so that the implementation process of how to apply technical means to solve technical problems and achieve technical effects of the present invention can be fully understood and implemented accordingly.

Please refer to "Figure 1" first. "Figure 1" is a system block diagram of the optimization system of the composite equalizer of the present invention. The system includes: multiple equalizers 100, a signal processing module 110, an execution module 120, a measurement module 130 and a screening module 140. The equalizer 100 includes a continuous time linear equalizer 100a, a feedforward equalizer 100b and a decision feedback equalizer 100c. In actual implementation, each equalizer parameter selection process needs to be optimized in combination with other equalizers to ensure the overall optimization performance of the system during screening. For example, the screening order of the equalizers is the continuous time linear equalizer 100a, the feedforward equalizer 100b and the decision feedback equalizer 100c, and the peak distortion analysis is performed on each combination to obtain the eye height and eye width of each combination.

The signal processing module 110 is used to receive a signal, and perform equalization processing on the signal through a filter, and filter the single pulse response output by the channel, and use the maximum voltage of the single pulse response as a mark and calculate the length, number and position of the front mark and the rear mark, wherein the filter has a constantly changing filter coefficient. In actual implementation, the signal of a single pulse response of one bit can be pre-processed to reduce the amount of data calculation.

The execution module 120 is connected to the signal processing module 110 to calculate the inter-symbol interference of the pre-mark and the post-mark respectively according to the length, quantity and position of the pre-mark and the post-mark to obtain the absolute value of the sum of the inter-symbol interference, And perform peak distortion analysis to superimpose the inter-symbol interference and the current mark to obtain the response curve within the unit interval, and continuously perform M times of traversal to obtain the corresponding eye diagram of N parameters, where M and N are positive integers. In actual implementation, when the superposition of inter-symbol interference causes the eye diagram to close to a threshold value (for example: the length of a preset eye height or eye width), the response curve is compared with the logic zero level to obtain two intersection points As a parameter of the eye diagram, the two intersection points are one on the left and one on the left.

The measurement module 130 is connected to the execution module 120 and the signal processing module 110 to measure the response curve of the eye diagram to obtain the eye height and eye width, and after performing the equalization process, record the highest peak value based on the eye height. Filter coefficients, eye height and eye width. In actual implementation, the highest peak value also represents the highest voltage value.

The screening module 140 is connected to the equalizer 100, the execution module 120 and the measurement module 130, and is used to sequentially screen the continuous-time linear equalizer 100a, the feedforward equalizer 100b and the decision-making in the equalizer 100. The equalizer 100c is fed back to form a plurality of equalizer combinations, and peak distortion analysis is performed on each equalizer combination to obtain the corresponding eye height and eye width, and then the eye height and eye width are recorded and obtained. Select the above-mentioned equalizer combination with the best equalization effect and stability. In actual implementation, the screening module 140 may further include calculating a judgment factor based on the eye width and eye height obtained from the eye diagram as a basis for selecting the equalizer combination. The calculation formula of the judgment factor is: "α = λ ( W _i / W _max ) + (1 - λ) (H _i / H _max )", where "α" is the judgment factor, "λ" is the weighting coefficient, "W _i " is the eye width, and "H _i " is Eye height, "(W _i / W _max )" is the eye width coefficient, and "( _Hi / H _max )" is the eye height coefficient. In addition, the screening module 140 may further include selecting the equalizer combination according to the judgment factor and other factors, including chip packaging, communication line (Communication Line) related length, material and connection method. In particular, when the judgment factor is 0, the best value of eye height is the optimization target; when the judgment factor is 1, the best value of eye width is the optimization target.

It should be particularly noted that in actual implementation, the modules described in the present invention can be implemented in various ways, including software, hardware or any combination thereof. For example, in some embodiments, each module can be implemented using software and hardware or one of them. In addition, the present invention can also be implemented partially or completely based on hardware. For example, one or more modules in the system can be implemented through integrated circuit chips, system-on-chips, complex programmable logic devices (CPLD), field programmable gate arrays (FPGA), etc. The present invention can be a system, a method and/or a computer program. The computer program may include a computer-readable storage medium that carries computer-readable program instructions useful for causing a processor to implement aspects of the present invention. The computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. The computer-readable storage medium may be, but is not limited to, an electric storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: a hard drive, a random access memory, a read-only memory, a flash memory, an optical disk, a floppy disk, and any suitable combination of the above. As used herein, computer-readable storage media is not to be construed as a transient signal per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical signals through optical fiber cables), or electrical signals transmitted through wires. In addition, the computer-readable program instructions described herein may be downloaded from the computer-readable storage media to various computing/processing devices, or downloaded to external computer devices or external storage devices through a network, such as the Internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, hubs, and/or gateways. The network card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing/processing device. The computer program instructions for executing the operation of the present invention can be assembly language instructions, instruction set architecture instructions, machine instructions, machine-related instructions, microinstructions, firmware instructions, or source code or object code (Object Code) written in any combination of one or more programming languages, wherein the programming language includes object-oriented programming languages, such as Common Lisp, Python, C++, Objective-C, Smalltalk, Delphi, Java, Swift, C#, Perl, Ruby and PHP, as well as conventional procedural programming languages, such as C language or similar programming languages. The computer program instructions may be executed entirely on the computer, partially on the computer, as a separate software, partially on the client computer and partially on the remote computer, or entirely on the remote computer or server.

Please refer to "Figure 2A" to "Figure 2C". "Figure 2A" to "Figure 2C" are method flow charts of the optimization method of the compound equalizer of the present invention. The steps include: providing multiple equalizers. 100. The equalizer includes a continuous-time linear equalizer 100a, a feedforward equalizer 100b, and a decision feedback equalizer 100c (step 210); receives the signal, and performs equalization processing on the signal through the filter, and The single pulse response of the channel output is filtered, and the voltage maximum value of the single pulse response is used as a mark and the length, number and position of the front mark and the rear mark are calculated, wherein the filter has a constantly changing filter coefficient (step 220) ;According to the length, quantity and position of the front mark and the rear mark, calculate the inter-symbol interference of the front mark and the rear mark respectively to obtain the absolute value of the sum of the inter-symbol interference, and perform peak distortion analysis to compare the inter-symbol interference with the current The markers are superimposed to obtain the response curve within the unit interval, and M times of traversal are continuously performed to obtain the eye diagram corresponding to N parameters, where M and N are positive integers (step 230); the response curve of the eye diagram is measured to obtain Eye height and eye width, and after performing the equalization process, record the filter coefficient, eye height and eye width corresponding to the highest peak value based on the eye height (step 240); and in the equalizer, filter sequentially Continuous-time linear equalizers, feedforward equalizers and decision feedback equalizers are used to form multiple equalizer combinations, and peak distortion analysis is performed on each of the equalizer combinations to obtain the corresponding eye height and eye level. width, and then select the equalizer combination with the best equalization effect and stability according to the recorded and obtained eye height and eye width (step 250). In this way, multiple equalizers with different structures can be provided, and the degree to which the acquired signal is affected by inter-symbol interference can be used as the basis for equalizer optimization. Among them, the symbol of the signal is calculated based on the single impulse response of the channel. Inter-symbol interference, and perform peak distortion analysis to superimpose the ISI and the current marker to obtain the response curve and then obtain the corresponding eye diagram, and select the equalizer with the best equalization effect and stability according to the eye height and eye width. combination.

The following is explained in the form of an example with reference to "Figure 3" to "Figure 6". Please refer to "Figure 3" first, which is a schematic diagram of single pulse response and inter-symbol interference. Since the signal is often distorted due to the channel time dispersion effect during the transmission process through the channel, the main reason is that when the channel frequency response is a non-constant amplitude and non-linear phase, the amplitude and phase of the signal will be distorted due to the channel response, resulting in inter-symbol interference (i.e.: "ISI+/-"), which will make the receiving end unable to correctly identify the signal. As shown in FIG. 3 , the signal processing module 110 records the peak of the single pulse response 300 (Pulse response), i.e., the maximum voltage, as a marker 310 , and the portion before the marker 310 as a front marker 320 , and the portion after the marker 310 as a rear marker 330 , and calculates the length, quantity, and position. It can be clearly seen from the figure that the rear marker 330 becomes increasingly divergent.

As shown in FIG. 4 , FIG. 4 is a schematic diagram of the response curve of the present invention before and after superposition. In actual implementation, the execution module 120 calculates the inter-symbol interference of the front mark 320 and the rear mark 330 respectively according to the length, number and position of the front mark 320 and the rear mark 330 to obtain the absolute value of the sum of the inter-symbol interference, and performs peak distortion analysis to superimpose the inter-symbol interference with the current mark 310 to obtain the response curve within the unit interval (1UI), and continuously performs M traversals to obtain the corresponding eye diagram 400 of N parameters, where M and N are positive integers. Taking "Figure 4" as an example, the dotted line is the signal before superposition, and the solid line is the response curve of superimposed ISI. As ISI is superimposed, the eye diagram 400 becomes increasingly closed. By comparing the calculated curve with the logical zero "0" level, the left and right intersection points can be obtained. Then, the eye height and eye width can be obtained based on the response curve, and the filter coefficient, eye height and eye width corresponding to the highest peak after equalization can be found using the eye height as a measurement standard.

As shown in "Figure 5", "Figure 5" is a schematic diagram of the eye diagram comparison of different equalizer combinations selected by the present invention. First, the channel signal that has not been optimized is shown in eye diagram 510. Eye diagram 510 and its eye height and eye width are not obvious. Then, after optimization by the continuous time linear equalizer and the feedforward equalizer, eye diagram 520 has obvious changes. On this basis, the optimized combination with the decision feedback equalizer will greatly reduce the inter-symbol interference of the signal, making the eye diagram clearer and the eye width wider, as shown in eye diagram 530. In this way, the stability time of the signal on the transmission line will be greatly improved.

As shown in "Figure 6", "Figure 6" is a schematic diagram of eye diagram comparison under various equalizer optimizations applied to the present invention. In actual implementation, different equalizer combinations can be used for optimization. For example, the first optimization method is to first optimize the continuous time linear equalizer to optimize the eye diagram, and then fix the continuous time linear equalizer and optimize the decision feedback equalizer to further optimize the eye diagram, as shown in eye diagram 610. The second optimization method is to first optimize the decision feedback equalizer and then optimize the continuous time linear equalizer, as shown in eye diagram 620. The third optimization method is to use a composite optimization method to simultaneously optimize the continuous time linear equalizer and the decision feedback equalizer to optimize the eye diagram, as shown in eye diagram 630. It can be clearly seen from the figure that the eye diagram 630 is the clearest, that is, the third optimization method has the best optimization effect. It should be particularly noted that in parameter selection, the number of optimizations is M and the optimization parameter is N, and M depends on factors such as the number of N, the range of the optimization parameter, the step size, and the optimization time. In addition, the selection of the equalizer optimization judgment factor will be determined by the design standard of the system. Since the receivers of different systems have different sensitivities to eye height or eye width, the selection of the judgment factor (0 to 1) is 0, and the optimal value of the eye height is used as the optimization target. When the judgment factor is 1, the optimal value of the eye width is used as the optimization target.

In summary, it can be seen that the difference between the present invention and the prior art is to provide a plurality of equalizers with different structures, and to use the degree of the acquired signal affected by inter-symbol interference as the basis for equalizer optimization, where, Calculate the inter-symbol interference of the signal based on the single pulse response of the channel, and perform peak distortion analysis to superimpose the ISI and the current marker to obtain the response curve and then obtain the corresponding eye diagram, and select the equalization effect and eye diagram based on the eye height and eye width. The stability is the best combination of equalizers. This technical means can solve the problems existing in the previous technology, thereby achieving the technical effect of improving the signal integrity and stability of high-speed signal transmission.

Although the present invention is disclosed as above by the aforementioned embodiments, they are not used to limit the present invention. Anyone skilled in similar techniques can make some changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of patent protection of the present invention shall be subject to the scope of the patent application attached to this specification.

100: Equalizer 100a: Continuous time linear equalizer 100b: Feedforward equalizer 100c: Decision feedback equalizer 110: Signal processing module 120: Execution module 130: Measurement module 140: Screening module 300: Single pulse impulse response 310: Marker 320: Pre-marker 330: Post-marker 400, 510, 520, 530, 610, 620, 630: Eye diagram Step 210: Provide a plurality of equalizers, the equalizers including a continuous time linear equalizer, a feedforward equalizer, etc. Step 220: receiving a signal, and performing equalization processing on the signal through a filter, and filtering a single pulse response output by a channel, and taking the voltage maximum value of the single pulse response as a mark and calculating the length, number and position of a front mark and a rear mark, wherein the filter has a filter coefficient that is constantly changing. Step 230: calculating an inter-symbol interference of the front mark and the rear mark according to the length, number and position of the front mark and the rear mark respectively to obtain The absolute value of the sum of the inter-symbol interference is obtained, and a peak distortion analysis is performed to overlap the inter-symbol interference with the current mark to obtain a response curve within a unit interval, and the traversal is continuously performed M times to obtain an eye diagram of the corresponding N parameters, wherein M and N are positive integers. Step 240: Measure the response curve of the eye diagram to obtain an eye height and an eye width, and after performing equalization processing, record the filter coefficient, the eye height and the eye width corresponding to the highest peak based on the eye height. Step 250: In the equalization process, The continuous time linear equalizer, the feedforward equalizer and the decision feedback equalizer are sequentially selected to form a plurality of equalizer combinations, and the peak distortion analysis is performed on each of the equalizer combinations to obtain the corresponding eye height and the eye width, and then the equalizer combination with the best equalization effect and stability is selected according to the recorded and obtained eye height and the eye width. Step 251: A judgment factor is calculated according to the eye width and the eye height obtained from the eye diagram as a basis for selecting the equalizer combination, and the calculation formula of the judgment factor is: α = λ ( _Wi / _Wmax ) + (1-λ) ( _Hi / _Hmax ), wherein α is the judgment factor, λ is a weighting coefficient, _Wi is the eye width, _Hi is the eye height, ( _Wi / _Wmax ) is an eye width coefficient, ( _Hi / _Hmax ) is an eye height coefficient. Step 252: Select the equalizer combination according to the judgment factor and at least one other factor, wherein the other factor includes chip packaging, communication line related length, material and connection method.

Figure 1 is a system block diagram of the optimization system of the composite equalizer of the present invention. Figures 2A to 2C are method flow charts of the optimization method of the composite equalizer of the present invention. Figure 3 is a schematic diagram of single pulse response and inter-symbol interference. Figure 4 is a schematic diagram before and after superposition of the response curves of the present invention. Figure 5 is a schematic diagram of the eye diagram comparison of screening different equalizer combinations using the present invention. Figure 6 is a schematic diagram of eye diagram comparison under various equalizer optimizations using the present invention.

100: Equalizer

100a: Continuous time linear equalizer

100b: Feedforward equalizer

100c: Decision Feedback Equalizer

110:Signal processing module

120:Execute module

130: Measurement module

140: Screening module

Claims (10)

An optimization system for compound equalizers, which includes: A plurality of equalizers, the equalizers including a continuous-time linear equalizer, a feedforward equalizer and a decision feedback equalizer; A signal processing module for receiving a signal, performing equalization processing on the signal through a filter, filtering a single pulse response output by a channel, and using the maximum voltage value of the single pulse response as a marking and calculating the length, number and position of a preceding marking and a following marking, wherein the filter has a continuously changing filter coefficient; An execution module connected to the signal processing module for calculating an inter-symbol interference of the pre-mark and the post-mark respectively according to the length, quantity and position of the pre-mark and the post-mark to obtain the inter-symbol interference The absolute value of the sum of interferences, and perform a peak distortion analysis to superimpose the inter-symbol interference with the current marker to obtain a response curve within the unit interval, and continue to perform M times of traversal to obtain a glance of the corresponding N parameters Figure, where M and N are positive integers; A measurement module, connected to the execution module and the signal processing module, used to measure the response curve of the eye diagram to obtain eye height and eye width, and after performing equalization processing, record the highest peak value based on the eye height The filter coefficient, the eye height and the eye width corresponding to the time; and A screening module, connected to the equalizer, the execution module and the measurement module, for sequentially screening the continuous time linear equalizer, the feedforward equalizer and the measurement module in the equalizer. The decision feedback equalizer is used to form a plurality of equalizer combinations, and the peak distortion analysis is performed on each equalizer combination to obtain the corresponding eye height and eye width, and then based on the recorded and obtained Select the equalizer combination that has the best equalization effect and stability for the eye height and eye width. As for the optimization system of the composite equalizer of claim 1, the screening module further includes calculating a judgment factor based on the eye width and the eye height obtained from the eye diagram as a basis for selecting the equalizer combination, and the calculation formula of the judgment factor is: α = λ (W _i / W _max ) + (1 - λ) (H _i / H _max ), wherein α is the judgment factor, λ is a weighting coefficient, W _i is the eye width, H _i is the eye height, (W _i / W _max ) is an eye width coefficient, and (H _i / H _max ) is an eye height coefficient. As for the optimization system of the composite equalizer of claim 1, the screening module further includes selecting the equalizer combination according to the judgment factor and at least one other factor, and the other factor includes chip packaging, communication line related length, material and connection method. For example, the optimization system of the compound equalizer of request item 1: when the judgment factor is a value of 0, the best value of the eye height is used as the optimization target; when the judgment factor is a value of 1, the best value of the eye width is used for optimization goals. The optimization system of the complex equalizer as claimed in claim 1, wherein when the superposition of the inter-symbol interference causes the eye diagram to close to a threshold value, the response curve is compared with the logical zero level to obtain two intersection points as the parameters of the eye diagram. An optimization method for a compound equalizer, the steps of which include: Provide a plurality of equalizers, the equalizers including a continuous-time linear equalizer, a feedforward equalizer and a decision feedback equalizer; Receive a signal, perform equalization processing on the signal through a filter, and filter a single pulse response output from a channel, and use the voltage maximum value of the single pulse response as a mark and calculate a previous mark and a The length, number and position of the rear mark, wherein the filter has a filter coefficient that is constantly changing; According to the length, number and position of the front mark and the rear mark, calculate an inter-symbol interference of the front mark and the rear mark respectively to obtain the absolute value of the sum of the inter-symbol interference, and perform a peak distortion analysis to The inter-symbol interference is superimposed with the current mark to obtain a response curve within the unit interval, and M times of traversal are continuously performed to obtain a corresponding eye view of N parameters, where M and N are positive integers; Measure the response curve of the eye diagram to obtain one eye height and one eye width, and after performing equalization processing, record the filter coefficient, the eye height, and the eye width corresponding to the highest peak value based on the eye height; and In the equalizer, the continuous-time linear equalizer, the feedforward equalizer and the decision feedback equalizer are sequentially screened to form a plurality of equalizer combinations, and each of the equalizers is The equalizer combination performs the peak distortion analysis to obtain the corresponding eye height and eye width, and then selects the equalizer combination with the best equalization effect and stability based on the recorded and obtained eye height and eye width. . As claimed in claim 6, the optimization method of a composite equalizer further includes calculating a judgment factor based on the eye width and eye height obtained from the eye diagram as a basis for selecting the equalizer combination, and the judgment factor The calculation formula is: α = λ (W _i / W _max ) + (1 - λ) (H _i / H _max ), where α is the judgment factor, λ is a weighting coefficient, W _i is the eye width, H _i is the eye height, (W _i / W _max ) is the eye width coefficient, and ( _Hi / H _max ) is the eye height coefficient. The optimization method of a composite equalizer as claimed in claim 7, wherein the method further includes selecting the equalizer combination based on the judgment factor and at least one other factor. The other factors include chip packaging, communication line related length, material and Connection method. The optimization method of the composite equalizer of claim 7, wherein when the judgment factor is 0, the optimal value of the eye height is used as the optimization target, and when the judgment factor is 1, the optimal value of the eye width is used as the optimization target. The optimization method of the composite equalizer of claim 6, wherein when the superposition of the inter-symbol interference causes the eye diagram to close to a threshold value, the response curve is compared with the logic zero level to obtain two intersection points as the The parameters of the eye diagram.

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