CN116599592B - Incident light optimization method and system - Google Patents
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- 230000008569 process Effects 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 239000006185 dispersion Substances 0.000 abstract description 19
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/25—Arrangements specific to fibre transmission
- H04B10/2507—Arrangements specific to fibre transmission for the reduction or elimination of distortion or dispersion
- H04B10/2513—Arrangements specific to fibre transmission for the reduction or elimination of distortion or dispersion due to chromatic dispersion
- H04B10/2525—Arrangements specific to fibre transmission for the reduction or elimination of distortion or dispersion due to chromatic dispersion using dispersion-compensating fibres
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/25—Arrangements specific to fibre transmission
- H04B10/2581—Multimode transmission
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Abstract
The invention relates to an incident light optimization method and system, wherein the method comprises the following steps: step S1: converting incident light into N pixels; step S2: uniformly dividing the N pixels into M pixel blocks, wherein M is less than N; step S3: and optimizing the incident light by changing the phase of the incident light corresponding to the M pixel blocks. According to the invention, after the pixel blocks are optimized through the first phase interval, the selected half of the pixel blocks are optimized again through the second phase interval based on the first optimizing result, so that the optimization of incident light can be effectively realized, meanwhile, the problem of insufficient self-adaption capability of the traditional dispersion compensation optical fiber technology can be solved, and the multimode optical fiber short-distance transmission system can be optimized.
Description
Technical Field
The invention relates to the technical field of signal transmission optimization, in particular to an incident light optimization method and system.
Background
Multimode optical fiber communication technology: today data centers have become an integral part of modern life, and their internal network information needs to be transmitted and stored at high speed. In the context of data centers requiring short-range transmission, multimode optical fibers and optical modules with Vertical Cavity Surface Emitting Lasers (VCSELs) as core devices are widely used. Multimode fibers have more transmission modes than single mode fibers. Since each mode of the multimode fiber has a different propagation speed, the time at which the different modes simultaneously emitted arrive at the output is different, resulting in distortion of the output signal. Currently, methods for suppressing modal dispersion are: 1) Electronic dispersion compensation technology; 2) Adaptive optics. However, electronic dispersion compensation techniques have inherent limitations in addressing photodamage using electrical chips.
The principle of the electronic dispersion compensation technology is as follows: the basic idea of electronic dispersion compensation techniques is to achieve the problem of recovering signal loss in transmission by filtering in the electrical domain. In multimode optical fiber transmission, the transmission modes are numerous, the transmission paths of different modes are different, the paths traveled are different, and the arrival times at the end point are different, which causes the stretching of pulses. Electronic Dispersion Compensation (EDC) is a method of achieving dispersion compensation in an optical communication link using electronic filtering (also known as equalization), i.e., filtering in the communication channel to compensate for signal attenuation caused by the transmission medium. Electronic dispersion compensation is typically implemented by a transversal filter whose output is a weighted sum of a series of delay inputs, which automatically adjusts the filter weights, i.e. adapts, according to the characteristics of the received signal. The electronic dispersion compensation technique comprises: equalization FFE techniques, decision feedback equalization DFE techniques, etc., FFE is a linear filter that can be set to have transmission characteristics opposite to those of the fiber, thereby canceling the linear portion of dispersion; the DFE mainly functions to compensate for the nonlinear part of the distorted signal.
Disadvantages of the prior art: although the electronic dispersion compensation technology can reduce the dispersion influence caused by multimode optical fibers, the electronic dispersion compensation technology is essentially used for compensating loss in an electric domain, and the electronic dispersion compensation technology is used for solving the problem that the optical damage is essentially limited by an electric chip, so that the cost of high power consumption, high system complexity and the like can be caused.
Accordingly, for the dispersion effects of multimode fibers, a strong study of adaptive optical techniques based on the optical domain (such as modal dispersion compensation) is necessary.
Disclosure of Invention
Therefore, the invention aims to solve the technical problems of high power consumption, high system complexity and the like caused by compensation loss of an electronic dispersion compensation technology in an electric domain in the prior art.
In order to solve the technical problems, the invention provides an incident light optimizing method, which comprises the following steps:
step S1: converting incident light into N pixels;
step S2: uniformly dividing the N pixels into M pixel blocks, wherein M is less than N;
Step S3: and optimizing the incident light by changing the phase of the incident light corresponding to the M pixel blocks.
In one embodiment of the present invention, in the step S3, the optimizing of the incident light is performed by changing phases of the incident light corresponding to the m×m pixel blocks, and the method includes:
step S31: changing the phase of incident light corresponding to each pixel block according to a first phase interval;
step S32: calculating the error rate corresponding to the incident light after each phase of the ith pixel block is changed;
step S33: counting the error rate obtained by calculating the ith pixel block, and selecting the phase with the minimum error rate as the current optimal phase of the ith pixel block;
Step S34: calculating the error rate reduction parameter of the ith pixel block according to the error rate corresponding to the current optimal phase of the ith pixel block;
Step S35: arranging all pixel blocks from small to large according to the error rate reduction parameters;
step S36: selecting the pixel block with the largest error rate reduction parameter from M x M blocks And each pixel block, changing the phase of the incident light corresponding to the selected pixel blocks one by one according to the second phase interval, and executing the processes of the step S32 to the step S33 to finish the optimization of the incident light.
In one embodiment of the present invention, the error rate reduction parameter in the step S34 is: the error rate E 2 corresponding to the incident light after each phase is changed by subtracting the original error rate E 1 corresponding to the incident light from the i-th pixel block.
In one embodiment of the present invention, the first phase interval in the step S31 is pi/2;
When the first phase interval is pi/2, the phase of the incident light corresponding to the ith pixel block is 0, pi/2, pi, 3 pi/2.
In one embodiment of the present invention, the second phase interval in the step S36 is any one of pi/4, pi/8 or pi/16;
When the second phase interval is pi/4, the phase of the incident light corresponding to the ith pixel block is 0, pi/4, pi/2, 3 pi/4, pi, 5 pi/4, 3 pi/2, 7 pi/4;
When the second phase interval is pi/8, the phase of incident light corresponding to the ith pixel block is 0, pi/8, pi/4, 3 pi/8, pi/2, 5 pi/8, 3 pi/4, 7 pi/8, pi, 9 pi/8, 5 pi/4, 11 pi/8, 3 pi/2, 13 pi/8, 7 pi/4, 15 pi/8.
In one embodiment of the present invention, the i-th pixel block corresponds to the phase range of the incident light of [0,2 pi ].
In order to solve the above technical problems, the present invention provides an incident light optimizing system, including:
And a conversion module: for converting incident light into N x N pixel points;
the dividing module: the method comprises the steps of uniformly dividing N pixels into M pixel blocks, wherein M is less than N;
And an optimization module: the method is used for optimizing the incident light by changing the phase of the incident light corresponding to the M pixel blocks.
In order to solve the technical problems, the invention provides a multimode optical fiber transmission optimization method, which adopts the incident light optimization method to optimize multimode optical fiber transmission.
In order to solve the technical problem, the invention provides electronic equipment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the incident light optimizing method when executing the computer program.
To solve the above technical problem, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the incident light optimization method as described above.
Compared with the prior art, the technical scheme of the invention has the following advantages:
the invention creatively converts the incident light into the pixel points to analyze the incident light, and in order to effectively save the calculated amount, the invention also divides the pixel points into pixel blocks so as to facilitate the follow-up acceleration optimization processing;
According to the invention, after the pixel blocks are optimized through the first phase interval, the selected half of the pixel blocks are optimized again through the second phase interval based on the first optimizing result, so that the optimization of incident light can be effectively realized, meanwhile, the problem of insufficient self-adaption capability of the traditional dispersion compensation optical fiber technology can be solved, and the multimode optical fiber short-distance transmission system can be optimized.
Drawings
In order that the invention may be more readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof that are illustrated in the appended drawings.
FIG. 1 is a schematic flow chart of a method in an embodiment of the invention;
FIG. 2 is a graph comparing experimental results of preliminary exploration of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and specific examples, which are not intended to be limiting, so that those skilled in the art will better understand the invention and practice it.
Before the invention is described in detail, the invention also performs preliminary exploration on an optimization method of the incident light, and the following preliminary exploration on the incident light is described in detail:
step S1: converting incident light into N pixels;
step S2: uniformly dividing the N pixels into M pixel blocks, wherein M is less than N;
Step S3: changing the phase of the incident light corresponding to the ith pixel block, and calculating the error rate corresponding to the incident light after each phase is changed;
Step S4: counting the bit error rate corresponding to the incident light after each phase calculated by the ith pixel block is changed, and selecting the phase with the minimum bit error rate as the optimal phase of the ith pixel block;
step S5: and repeating the step S3 and the step S4 until the optimal phase of each pixel block in the M-by-M pixel blocks is obtained, and completing the optimization of the incident light.
In the preliminary exploration of the optimization method of the incident light, the optimal error rate corresponding to the incident light is found out after the phase of each pixel block is changed, so that the optimization of the incident light is realized.
The following describes in detail the preliminary exploration of the optimization method of the incident light:
s1, determining pixels: for incident light entering the system, a Spatial Light Modulator (SLM) is used for light field manipulation of the incident light. The spatial light modulator contains a plurality of individual cells that are spatially arranged in a one-dimensional or two-dimensional array. Each unit can be independently controlled by an optical signal or an electrical signal, and the optical characteristics of the unit can be changed by utilizing various physical effects (Kerr effect, magneto-optical effect, photorefractive effect, paulox effect, acousto-optic effect, self-electro-optic effect of a semiconductor and the like), so that the effect of modulating the light wave on the light can be achieved. The chip of the spatial light modulator is a one-dimensional or two-dimensional array of a plurality of pixels, each square representing a pixel, each pixel being controllable, when viewed under a microscope. When a beam of light is irradiated on the chip, the pixels divide the incident light into several parts, and the spatial distribution of the light can be changed by controlling each pixel point. There are many crystals in a spatial light modulator, and the refractive index of the crystal can be changed by applying an electrical signal. The present embodiment sets the light for wavefront shaping in the incident light of the transmission system to 512×512 pixels.
S2, blocking: the pixel points used for wave front shaping in the previous step are uniformly divided into 8 x 8 pixel blocks (which can be set by itself, and 8 x 8 is just one example).
S3, changing the phase: for the ith pixel block, the inversion degree (refractive index) of the liquid crystal on the spatial light modulator can be controlled to change the phase of the light irradiated on the pixel point, change the phase to 0, pi/2, pi, 3 pi/2, and calculate the bit error rate corresponding to the four phases of the incident light when the incident light passes through the subsequent system.
S4, judging: based on the error rate calculated in the previous step, the optimal phase for the i-th block of pixels is determined as the phase that minimizes the error rate of the incident light.
S5, determining the phase: the phase of the i-th block of pixels is determined as the phase that minimizes the error rate of the incident light. After the determination, returning to step S3, the phase of the next pixel block is continuously changed until all the pixel blocks determine the optimal phase thereof, that is, all the 8 x 8 pixel blocks are determined, and the phase of the incident light is changed to the determined phase, so as to complete the optimization of the incident light.
The experimental results are as follows:
Referring to fig. 2, a simulated optimization effect diagram is shown, wherein a curve 1 is a bit error rate curve (an abscissa is a received optical power, an ordinate is a bit error rate and is a log of the optical power, the larger the bit error rate is, the smaller the bit error rate is, the more the curve is drawn, the better the optimization result is), a curve 2 is divided into 4*4 blocks, a preset phase interval is pi/2 (the phase has 4 levels), a curve 3 is divided into 8 x 8 blocks, a preset phase interval is pi/2 (the phase has 4 levels), a curve 4 is divided into 8 x 8 blocks, and a preset phase interval is pi/4 (the phase has 8 levels). It is not difficult to find that the more blocks are, the smaller the preset phase interval is, the lower the bit error rate is.
It should be noted that, the present embodiment performs preliminary exploration on the optimization method of the incident light, and finds that the optimization method of the incident light cannot achieve the best optimization of the incident light, and further exploration is needed, so that a brand new optimization method of the incident light is designed, and detailed description is provided below.
Example 1
Referring to fig. 1, the present invention relates to a method for optimizing incident light, comprising:
step S1: converting incident light into N pixels;
step S2: uniformly dividing the N pixels into M pixel blocks, wherein M is less than N;
Step S3: and optimizing the incident light by changing the phase of the incident light corresponding to the M pixel blocks.
Further, in the step S3, the optimization of the incident light is completed by changing the phase of the incident light corresponding to the m×m pixel blocks, and the method includes:
step S31: changing the phase of incident light corresponding to each pixel block according to a first phase interval;
step S32: calculating the error rate corresponding to the incident light after each phase of the ith pixel block is changed;
step S33: counting the error rate obtained by calculating the ith pixel block, and selecting the phase with the minimum error rate as the current optimal phase of the ith pixel block;
Step S34: calculating the error rate reduction parameter of the ith pixel block according to the error rate corresponding to the current optimal phase of the ith pixel block;
Step S35: arranging all pixel blocks from small to large according to the error rate reduction parameters;
step S36: selecting the pixel block with the largest error rate reduction parameter from M x M blocks And each pixel block, changing the phase of the incident light corresponding to the selected pixel blocks one by one according to the second phase interval, and executing the processes of the step S32 to the step S33 to finish the optimization of the incident light.
It should be noted that, in the present embodiment, all pixel blocks with a large capability of reducing the bit error rate are selected in step S36, so that the purpose of the selection is to consider that the pixel blocks can be further deepened and optimized.
Further, the error rate reduction parameter in step S34 is: the error rate E 2 corresponding to the incident light after each phase is changed by subtracting the original error rate E 1 corresponding to the incident light from the i-th pixel block.
Further, the first phase interval (i.e., the first phase precision) in the step S31 is pi/2; when the first phase interval is pi/2, the phase of the incident light corresponding to the ith pixel block is 0, pi/2, pi, 3 pi/2.
Further, the second phase interval (i.e., the second phase precision) in the step S36 is any one of pi/4, pi/8, or pi/16;
When the second phase interval is pi/4, the phase of the incident light corresponding to the ith pixel block is 0, pi/4, pi/2, 3 pi/4, pi, 5 pi/4, 3 pi/2, 7 pi/4;
When the second phase interval is pi/8, the phase of incident light corresponding to the ith pixel block is 0, pi/8, pi/4, 3 pi/8, pi/2, 5 pi/8, 3 pi/4, 7 pi/8, pi, 9 pi/8, 5 pi/4, 11 pi/8, 3 pi/2, 13 pi/8, 7 pi/4, 15 pi/8.
Further, the phase range of the incident light corresponding to the ith pixel block is [0,2 pi ].
Experiments prove that the embodiment can obtain better optimization effect on incident light.
Example two
The present embodiment provides an incident light optimization system including:
And a conversion module: for converting incident light into N x N pixel points;
the dividing module: the method comprises the steps of uniformly dividing N pixels into M pixel blocks, wherein M is less than N;
And an optimization module: the method is used for optimizing the incident light by changing the phase of the incident light corresponding to the M pixel blocks.
Example III
The embodiment provides a multimode optical fiber transmission optimization method, and the optimization of multimode optical fiber transmission is realized by adopting the incident light optimization method in the first embodiment.
Example IV
The present embodiment provides an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the incident light optimization method of embodiment one when executing the computer program.
Example five
The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the incident light optimization method of embodiment one.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The scheme in the embodiment of the application can be realized by adopting various computer languages, such as object-oriented programming language Java, an transliteration script language JavaScript and the like.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations and modifications of the present invention will be apparent to those of ordinary skill in the art in light of the foregoing description. It is not necessary here nor is it exhaustive of all embodiments. And obvious variations or modifications thereof are contemplated as falling within the scope of the present invention.
Claims (9)
1. An incident light optimizing method is characterized in that: comprising the following steps:
step S1: converting incident light into N pixels;
step S2: uniformly dividing the N pixels into M pixel blocks, wherein M is less than N;
step S3: optimizing the incident light by changing the phase of the incident light corresponding to the M pixel blocks;
In the step S3, the optimization of the incident light is completed by changing the phase of the incident light corresponding to the m×m pixel blocks, and the method includes:
step S31: changing the phase of incident light corresponding to each pixel block according to a first phase interval;
step S32: calculating the error rate corresponding to the incident light after each phase of the ith pixel block is changed;
step S33: counting the error rate obtained by calculating the ith pixel block, and selecting the phase with the minimum error rate as the current optimal phase of the ith pixel block;
Step S34: calculating the error rate reduction parameter of the ith pixel block according to the error rate corresponding to the current optimal phase of the ith pixel block;
Step S35: arranging all pixel blocks from small to large according to the error rate reduction parameters;
step S36: selecting the pixel block with the largest error rate reduction parameter from M x M blocks And each pixel block, changing the phase of the incident light corresponding to the selected pixel blocks one by one according to the second phase interval, and executing the processes of the step S32 to the step S33 to finish the optimization of the incident light.
2. The method of optimizing incident light of claim 1, wherein: the error rate drop parameter in step S34 is as follows: the error rate E 2 corresponding to the incident light after each phase is changed by subtracting the original error rate E 1 corresponding to the incident light from the i-th pixel block.
3. The method of optimizing incident light of claim 1, wherein: the first phase interval in the step S31 is pi/2;
When the first phase interval is pi/2, the phase of the incident light corresponding to the ith pixel block is 0, pi/2, pi, 3 pi/2.
4. The method of optimizing incident light of claim 1, wherein: the second phase interval in the step S36 is any one of pi/4, pi/8 or pi/16;
When the second phase interval is pi/4, the phase of the incident light corresponding to the ith pixel block is 0, pi/4, pi/2, 3 pi/4, pi, 5 pi/4, 3 pi/2, 7 pi/4;
When the second phase interval is pi/8, the phase of incident light corresponding to the ith pixel block is 0, pi/8, pi/4, 3 pi/8, pi/2, 5 pi/8, 3 pi/4, 7 pi/8, pi, 9 pi/8, 5 pi/4, 11 pi/8, 3 pi/2, 13 pi/8, 7 pi/4, 15 pi/8.
5. The method of optimizing incident light of claim 1, wherein: the phase range of the incident light corresponding to the ith pixel block is [0,2 pi ].
6. An incident light optimization system employing the incident light optimization method of claim 1, wherein: comprising the following steps:
And a conversion module: for converting incident light into N x N pixel points;
the dividing module: the method comprises the steps of uniformly dividing N pixels into M pixel blocks, wherein M is less than N;
And an optimization module: the method is used for optimizing the incident light by changing the phase of the incident light corresponding to the M pixel blocks.
7. A multimode optical fiber transmission optimization method is characterized in that: optimizing multimode optical fiber transmission using the incident light optimization method of any one of claims 1-5.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for optimizing incident light according to any one of claims 1 to 5 when the computer program is executed by the processor.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of optimizing incident light according to any one of claims 1 to 5.
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| Impact of dispersion compensation gratings on OC-192 systems;Y. Li等;《1998 IEEE/LEOS Summer Topical Meeting. Digest. Broadband Optical Networks and Technologies: An Emerging Reality. Optical MEMS. Smart Pixels. Organic Optics and Optoelectronics (Cat. No.98TH8369)》;20020806;全文 * |
| 多模光纤高速传输关键技术研究;刘志飞;《中国优秀硕士学位论文全文数据库信息科技辑》;20170115(第1期);I136-193 * |
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