Continuous light source modeling method, system, storage medium, and electronic device

Abstract

The present disclosure relates to a continuous light source modeling method, system, storage medium and electronic device, the continuous light source modeling method comprises a bottom physical model based continuous light source modeling method for phase noise, when the phase noise is small and far away from the boundary value, the bottom physical model based continuous light source modeling method uses normal distribution to simulate the random change of the phase noise.

Description

Continuous light source modeling methods, systems, storage media, and electronic devices Technical Field

[0001] This disclosure relates to the field of continuous light source modeling technology, specifically to a continuous light source modeling method, system, storage medium, and electronic device. Background Technology

[0002] In the field of optoelectronic device modeling, existing technologies often struggle to strike a balance between accuracy and efficiency. Traditional modeling methods, such as physics-based detailed models, while offering high accuracy, suffer from high computational complexity and time consumption, making them unsuitable for system-level simulations. Conversely, simplified models, such as behavioral models, while computationally efficient, have limitations in describing the nonlinear characteristics and noise of devices, resulting in insufficient accuracy.

[0003] Specifically, when modeling continuous light sources, traditional methods often struggle to simultaneously account for the influence of multiple factors such as laser linewidth and phase noise, resulting in low model accuracy.

[0004] To address these issues, some researchers have attempted to use equivalent circuit models for device modeling. Equivalent circuit models can simplify device complexity and improve computational efficiency to some extent. However, accurately extracting the parameters of the equivalent circuit model and ensuring its applicability under different operating conditions remain challenging problems. Furthermore, existing equivalent circuit models may only focus on the electrical characteristics of the device, neglecting its optical properties, making it difficult to meet the needs of optoelectronic system simulation. Summary of the Invention

[0005] Therefore, the purpose of this disclosure is to provide a method for modeling continuous light sources.

[0006] To achieve the above objectives, the present disclosure adopts the following technical solution:

[0007] A continuous light source modeling method, characterized in that,

[0008] The optical phase noise of the continuous light source module was analyzed using a probability density function. For equivalent modeling, the random noise must satisfy the following condition:

[0009]

[0010] in This represents the phase difference between two continuous time parameters. Represents a time interval. As the laser linewidth, the phase difference between two consecutive moments is a Gaussian random variable with a mean of 0 and a variance of . ;

[0011] By multiplying the phase-modulated complex noise signal with the signal intensity and a complex vector incorporating the polarization state, the X-polarization component of the optical signal can be obtained. and Y polarization component According to the equivalent system construction scheme, the output light signal of the continuous light source model is represented as follows:

[0012]

[0013] in This represents the center frequency of the optical signal set by the continuous light source. This represents the initial phase. For the set average optical power, Represents the imaginary unit. The complex vector representing time and polarization state is determined by the power allocation parameter. and an additional phase Composition, in which and And the azimuth angle of the laser polarization ellipse and ellipticity The relationship between the parameters is as follows:

[0014]

[0015] .

[0016] Preferably,

[0017] The continuous light source modeling method includes a low-level physical model-based continuous light source modeling method for phase noise. When the phase noise is small and far from the boundary value, the low-level physical model-based continuous light source modeling method uses a normal distribution to approximate the random variation of the phase noise.

[0018] Preferably,

[0019] Azimuth The angle setting is limited to between -90° and 90°.

[0020] Preferably,

[0021] Ellipticity The angle setting is limited to between -45° and 45°.

[0022] Preferably,

[0023] The value ranges from 0 to 1.

[0024] Preferably,

[0025] initial phase The setting is limited to the range (-∞, ∞).

[0026] Preferably,

[0027] Average optical power The setting is limited to the range (-∞, ∞).

[0028] To achieve the above objectives, the present disclosure also adopts the following technical solutions:

[0029] A continuous light source modeling system, characterized in that,

[0030] The continuous light source modeling system includes a module for constructing a mathematical model that provides an analytical description, and can execute the continuous light source modeling method described above.

[0031] To achieve the above objectives, the present disclosure also adopts the following technical solutions:

[0032] A computer-readable storage medium having a computer program stored thereon.

[0033] When the program is executed by the processor, it implements the continuous light source modeling method described above.

[0034] To achieve the above objectives, the present disclosure also adopts the following technical solutions:

[0035] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor.

[0036] The processor implements the above-described continuous light source modeling method when executing computer programs.

[0037] The technical solution claimed in this disclosure achieves the following beneficial effects:

[0038] The scheme disclosed herein aims to achieve accurate cross-domain modeling of continuous light sources by employing a low-level model data structure covering multiple domain parameters, and combining various methods such as analytical model construction, equivalent circuit model parameter extraction, and noise equivalent circuit method. This approach can improve the efficiency of modeling and simulation while ensuring model accuracy, thereby better meeting the needs of continuous light source design and simulation. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0040] Figure 1 is a schematic diagram of the equivalent system construction of the continuous light source module of this disclosure;

[0041] Figure 2 shows the output spectrum of the continuous light source module under different linewidth settings of this disclosure. Figure 2(a) shows the spectrum when the laser linewidth is 1KHz; Figure 2(b) shows the spectrum when the laser linewidth is 1MHz; and Figure 2(c) shows the spectrum when the laser linewidth is 100MHz. Detailed Implementation

[0042] To make the objectives, technical solutions, and beneficial effects of the embodiments in this disclosure clearer, the technical solutions in the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, not all embodiments. Based on the embodiments in this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0043] Example 1

[0044] This disclosure includes a continuous light source modeling method, comprising mathematical / mathematical model construction based on analytical description, equivalent circuit model parameter extraction technology, and noise equivalent circuit method. Addressing the end-to-end simulation requirements from device to data link, the method first uses the physical model of the device as a foundation, abstracting and simplifying it based on its operating characteristics and conditions to obtain a mathematical or numerical model based on analytical description. The equivalent circuit model extraction technology is used to extract the compact model parameters required for upper-level data link simulation from the physical field simulation results of the device design stage. The noise equivalent circuit method is used to introduce model descriptions of various noises, improving the accuracy of the compact model of the continuous light source. Among these, the equivalent circuit method (including key device parameter extraction and noise modeling) is crucial for reducing the order of the device physical model to a high-precision compact model.

[0045] Example 2

[0046] This disclosure presents a method for modeling continuous light sources based on a low-level physical model. Continuous light sources typically serve as the transmitters in microwave photonic links, providing optical carrier information. Ideally, the output of a laser is an optical signal with a standard frequency and phase. However, in reality, the output light from a laser is usually a light source with a certain spectral width. The width of the output spectrum is called the linewidth of the laser, typically defined as the full width at half maximum (FWHM). Furthermore, due to factors such as nonlinearity and thermal noise, the phase of the actual laser output signal will experience slight perturbations. This effect is called phase noise. When the phase noise is small and far from the boundary value, a normal distribution can be used to approximate the random variation of the phase noise. A schematic diagram of the equivalent model of the continuous light source in this system is shown in Figure 1. In Figure 1, an analytical mathematical / mathematical model is first constructed, in which a noise equivalent circuit is built, and a probability density function is used to analyze the optical phase noise of the continuous light source module. For equivalent modeling, the random noise must satisfy the following condition:

[0047]

[0048] in This represents the phase difference between two continuous time parameters. Represents a time interval. As the laser linewidth, the phase difference between two consecutive moments is a Gaussian random variable with a mean of 0 and a variance of . By multiplying the phase-modulated complex noise signal with the signal intensity and a complex vector incorporating the polarization state, the X-polarization component of the optical signal can be obtained. and Y polarization component At this point, parameters are extracted using an equivalent circuit model. Based on the equivalent system construction scheme shown in Figure 1, the output optical signal of the continuous light source model can be expressed as:

[0049]

[0050] in This represents the center frequency of the optical signal set by the continuous light source. This represents the initial phase. For the set average optical power, Represents the imaginary unit. The complex vector representing time and polarization state is determined by the power allocation parameter. and an additional phase Composition, in which and And the azimuth angle of the laser polarization ellipse and ellipticity The relationship between them is as follows:

[0051]

[0052]

[0053] In this system, azimuth angle The angle setting is limited to between -90° and 90°; ellipticity The angle setting is limited to between -45° and 45°, corresponding to The range of values ​​for is 0≤ ≤1.

[0054] Table 1 shows the control instructions for user-adjustable parameters in the continuous light source module. Users can precisely control the characteristics of the output continuous optical wave in the simulation system by setting the parameters of the continuous light source module, thereby simulating its impact on the performance of the microwave photonic transmission system. Specifically, the average optical power is set between (-∞, ∞) in dBm, the center wavelength is set between [0, ∞) in nm, the initial phase is set between (-∞, ∞) in degrees, the laser linewidth is set between [0, ∞) in MHz, the azimuth angle is set between [-90°, 90°] in degrees, and the ellipticity is set between [-45°, 45°] in degrees.

[0055] Table 1 Parameter Control Instructions for Continuous Light Source Module

[0056] Parameter Name Default Value Range Unit Average Optical Power 5 (-∞, ∞) dBm Center Wavelength 1550 [0, ∞) nm Initial Phase 0 (-∞, ∞) degree Laser Linewidth 10 [0, ∞) MHz Azimuth 0 [-90°, 90°] degree Ellipticity 0 [-45°, 45°] degree surface

[0057] In practice, due to the influence of spontaneous emission, the output laser of a laser exhibits a limited spectral width. Figure 2 shows the spectral results obtained by setting different linewidths of the continuous light source model when the center frequency of the light source is 193.414 THz and the average power is 5 dBm. Figure 2(a) shows the spectrum with a linewidth of 1 kHz; Figure 2(b) shows the spectrum with a linewidth of 1 MHz; and Figure 2(c) shows the spectrum with a laser linewidth of 100 MHz. It can be observed from the figures that by adjusting the linewidth parameter of the output light wave, the simulation model can simulate the linewidth of different lasers. As the linewidth value increases, the spectral width of the light output from the light source module also increases accordingly.

[0058] Example 3

[0059] A continuous light source modeling system, comprising:

[0060] A mathematical / mathematical model module with analytical description can be constructed to execute the continuous light source modeling method in the above embodiments.

[0061] Example 4

[0062] A computer-readable storage medium having a computer program stored thereon.

[0063] When the program is executed by the processor, it implements the continuous light source modeling method described above.

[0064] Example 5

[0065] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor.

[0066] The processor implements the above-described continuous light source modeling method when executing computer programs.

[0067] The embodiments described above are merely illustrative descriptions of this disclosure and are not intended to limit the scope of this disclosure. Any modifications and improvements made by those skilled in the art to the technical solutions of this disclosure without departing from the spirit of this disclosure should fall within the protection scope defined by this disclosure.

Claims

1. A method for modeling continuous light sources, characterized in that, The optical phase noise of the continuous light source module was analyzed using a probability density function. For equivalent modeling, the random noise must satisfy the following condition: ;in This represents the phase difference between two continuous time parameters. Represents a time interval. As the laser linewidth, the phase difference between two consecutive moments is a Gaussian random variable with a mean of 0 and a variance of . The X-polarization component of the optical signal can be obtained by multiplying the complex noise signal obtained after phase modulation with the signal intensity and a complex vector incorporating the polarization state. and Y polarization component According to the equivalent system construction scheme, the output light signal of the continuous light source model is represented as follows: ;in This represents the center frequency of the optical signal set by the continuous light source. This represents the initial phase. For the set average optical power, Represents the imaginary unit. The complex vector representing time and polarization state is determined by the power allocation parameter. and an additional phase Composition, in which and And the azimuth angle of the laser polarization ellipse and ellipticity The relationship between the parameters is as follows: ； The azimuth angle The angle setting is limited to between -90° and 90°; the ellipticity The angle setting is limited to between -45° and 45°; The value of is between 0 and 1; the initial phase The setting is limited to the range (-∞, ∞); the average optical power The setting is limited to the range (-∞, ∞).

2. The continuous light source modeling method according to claim 1, characterized in that, The continuous light source modeling method includes a continuous light source modeling method based on a low-level physical model for phase noise. When the phase noise is small and far from the boundary value, the continuous light source modeling method based on the low-level physical model uses a normal distribution to approximate the random variation of the phase noise.

3. A continuous light source modeling system, characterized in that, The continuous light source modeling system includes a module for constructing a mathematical model that provides an analytical description, and can execute the continuous light source modeling method as described in claim 1 or 2.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the continuous light source modeling method as described in claim 1 or 2.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the continuous light source modeling method as described in claim 1 or 2.

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