A digital prediction system and method for a pulsed laser fuze seeker launch module

Abstract

The application discloses a kind of pulse laser fuze detector launch module digitization prediction system and method, belong to laser fuze technical field.The application includes excitation circuit simulation prediction module, laser simulation prediction module, optical system simulation prediction module and data processing and visualization module;Based on SIMULINK simulation platform, the data interaction of excitation circuit simulation prediction module and electrical simulation software is completed, and laser simulation prediction module is established and is carried out joint parameter collaborative simulation with excitation circuit simulation prediction module.The application carries out digitization collaborative modeling to pulse laser fuze detector launch module, improves launch module hardware prediction precision, shortens hardware debugging period, realizes the integration optimization of excitation circuit, laser and optical system of pulse laser fuze detector launch module, improves the detection distance and fixed distance precision of pulse laser fuze detector, and the application can realize data interaction and compatibility between each module, and simulation prediction result can be visualized.

Description

Technical Field

[0001] This invention relates to a digital prediction system and method for the emission module of a pulsed laser fuze detector, belonging to the field of laser fuze technology. Background Technology

[0002] A fuze is a device that uses environmental information (such as launch conditions), target information (such as scattering characteristics), or pre-set conditions (such as time, commands, etc.) to control the detonation, ignition, and attitude of ammunition while ensuring ammunition maintenance and launch safety. Laser fuzes are one of the three major types of proximity fuzes, possessing advantages such as strong anti-electromagnetic interference capabilities and high ranging accuracy. They are widely used in various weapon platforms, including air-to-air missiles, surface-to-air (ship-to-air) missiles, anti-radiation missiles, and anti-radiation UAVs, and are crucial for achieving precision strikes and efficient damage in terminal weapon systems. The pulsed laser fuze detector launch module includes an excitation circuit, a laser, and an optical system. It is characterized by high cost and long processing cycles. After design and manufacturing, the hardware is fixed. During debugging, if a significant difference is found between the output results and the expected design, the corresponding hardware needs to be redesigned and manufactured, which is detrimental to rapid product development. Therefore, by establishing a digital model of the excitation circuit, laser, and optical system of the pulsed laser fuze detector emitting module using a computer, and by using parametric simulation to optimize the design of key components in the model, the pulsed laser fuze detector emitting module can be optimized at the physical level, thus efficiently shortening the development cycle. Summary of the Invention

[0003] To address the problems of long hardware debugging cycles, discrete simulation models, and the inability to achieve integrated electrical and optical design optimization in pulsed laser fuze detector launching modules, this invention aims to provide a digital prediction system and method for pulsed laser fuze detector launching modules. By performing digital collaborative modeling of the launching module, the system improves the hardware prediction accuracy, shortens the hardware debugging cycle, and achieves integrated design and optimization of the excitation circuit, laser, and optical system of the launching module. This effectively enhances the detection range and ranging accuracy of the pulsed laser fuze detector. Furthermore, this invention enables data interaction and compatibility between the aforementioned modules and provides a visual representation of the simulation prediction results.

[0004] The objective of this invention is achieved through the following technical solution.

[0005] This invention discloses a digital prediction system for the emission module of a pulsed laser fuze detector, comprising an excitation circuit simulation prediction module, a laser simulation prediction module, an optical system simulation prediction module, and a data processing and visualization module. The system utilizes the SIMULINK simulation platform to facilitate data interaction between the excitation circuit simulation prediction module and electrical simulation software, and establishes a laser simulation prediction module for joint parameter co-simulation with the excitation circuit simulation prediction module. The excitation circuit simulation prediction module simulates the changes in key parameters of the emission excitation circuit of the pulsed laser fuze detector under different operating conditions, thereby improving the detection range and ranging accuracy of the pulsed laser fuze detector. In addition to adding circuit parameters (MOS transistor switch, switch driver chip, loop inductor, energy storage capacitor, and loop resistance), the excitation circuit model also considers the influence of the first laser parameters (internal resistance, stray inductance, and stray capacitance) on the fuze detection range and ranging accuracy. An excitation circuit model for the electrical simulation module is constructed, and through simulation optimization of the laser's internal resistance, stray inductance, and stray capacitance parameters, the peak value of the first forward drive current is increased, and the pulse width and rise time of the first forward drive current are shortened, thereby improving the detection range and ranging accuracy of the pulsed laser fuze detector. The SIMULINK simulation platform is used to add a PSPICE simulation unit, call the excitation circuit model constructed by the excitation circuit simulation prediction module, and build a simulation of the excitation circuit parameter variation law of the pulsed laser fuze detector based on the excitation circuit model. This enables data interaction between the excitation circuit simulation prediction module and the electrical simulation software. The second forward drive current of the excitation circuit is obtained through the PSPICE simulation unit's simulation of the pulsed laser fuze detector's excitation circuit, and serves as the input to the laser simulation prediction module. The laser simulation prediction module is modeled in the SIMULINK simulation platform. It inputs the second forward drive current obtained from the PSPICE simulation unit into the laser output power model in the laser simulation prediction module, along with second laser parameters (threshold current, peak current, electro-optical efficiency, and adjustment coefficient parameters). The laser output power is calculated through the laser output power model, and the laser peak power is output to the optical system model in the optical system simulation prediction module. The optical system simulation prediction module takes the laser peak power output from the laser simulation prediction module and inputs it into the optical system model. It also inputs third laser parameters (center wavelength, meridional divergence angle, sagittal divergence angle, emitting surface length, and emitting surface width) and lens parameters (lens type, material, object distance, thickness, optical aperture, radius of curvature, and conic coefficient). The optical system model calculates the near-field spot diameter, far-field spot diameter, and peak spot energy illuminance, and outputs the simulation results to the data processing and visualization module. The data processing and visualization module records the prediction results from the excitation circuit simulation prediction module, the laser simulation prediction module, and the optical system simulation prediction module, and performs data processing and visualization.The prediction results include the first forward drive current output by the excitation circuit simulation prediction module, the laser output power output by the laser simulation prediction module, and the near-field spot diameter, far-field spot diameter, and peak spot energy illuminance output by the optical system simulation prediction module.

[0006] This invention discloses a digital prediction method for a pulsed laser fuze detector emission module, implemented based on the aforementioned digital prediction system for a pulsed laser fuze detector emission module. The digital prediction method for a pulsed laser fuze detector emission module includes the following steps:

[0007] Step 1: To improve the detection range and ranging accuracy of the pulsed laser fuze detector, a forward drive current model of the excitation circuit is constructed in the excitation circuit simulation and prediction module. This excitation circuit model, in addition to adding circuit parameters (MOS transistor switch, switch driver chip, loop inductor, energy storage capacitor, and loop resistance), also considers the influence of the first laser parameters (internal resistance, stray inductance, and stray capacitance) on the pulse width, peak value, and rise time of the first forward drive current. This forward drive current model optimizes the laser's internal resistance, stray inductance, and stray capacitance parameters through simulation, increasing the peak value of the first forward drive current and shortening its pulse width and rise time. This results in the pulsed laser signal, influenced by the waveform of the first forward drive current, having a narrow pulse width, short rise time, and high peak power, thereby improving the detection range and ranging accuracy of the pulsed laser fuze detector.

[0008] In the excitation circuit simulation prediction module, based on the charging and discharging principle of the RLC circuit, considering the stray inductance, stray capacitance, and resistance values ​​caused by the laser layout, during discharge, C1, C2, R1, R2, L1, and L2 form an RLC resonant circuit, and the following equation holds true for the discharge circuit:

[0009]

[0010]

[0011] i = i1 + i2 (3)

[0012] In the formula, C1 is the capacitance of the energy storage capacitor, C2 is the stray capacitance of the laser peripheral, R1 is the loop resistance, R2 is the internal resistance of the laser, L1 is the loop inductance, L2 is the stray inductance of the laser, i1 and i2 are the currents flowing through the laser and the stray capacitance of the laser peripheral, respectively, and i is the total loop current. Substituting equations (2) and (3) into equation (1) and differentiating and simplifying, we get:

[0013]

[0014] The general solution of equation (4) is expressed in the following form:

[0015]

[0016] In the formula, the values ​​of constant coefficients S1, S2, A1, and A2 are determined by the operating state of the circuit, which in turn depends on the values ​​of R, L, and C. Theoretically, the attenuation coefficient of the circuit is defined as δ = R / 2L, where R is the total resistance of the series circuit and L is the total inductance of the series resistor. Therefore, the attenuation coefficient is defined as:

[0017]

[0018] The natural frequency is:

[0019]

[0020] The damping coefficient is:

[0021]

[0022] The natural angular frequency of the circuit is:

[0023]

[0024]

[0025] From equation (9), we know that when At this time, the circuit is in an underdamped state, and the peak value of the first forward drive current is the largest and the pulse width is the narrowest. Therefore, the forward drive current of the pulsed laser excitation circuit is modeled as follows:

[0026] i = Ae -δt sin(ωt) (11)

[0027]

[0028] Substituting the parameters into equation (11), the forward drive current model of the pulsed laser excitation circuit is obtained as follows:

[0029]

[0030] Preferably, the forward drive current model of the excitation circuit is established using PSPICE electrical simulation software. First, a MOSFET switch and a MOSFET switch driver chip are added to complete the MOSFET switch driver circuit and the RLC charging and discharging loop. Then, the control variables of the energy storage capacitor, loop inductance, loop resistance, laser internal resistance, stray inductance, and stray capacitance in the circuit are set. The parametric scanning simulation mode is selected, and under the premise of selecting appropriate parameter values, the obtained first forward drive current has the performance of narrow pulse width, short rise time, and high peak current.

[0031] Step 2: Add a PSPICE simulation unit to the SIMULINK simulation platform. Based on the excitation circuit forward drive current model constructed by the excitation circuit simulation prediction module, build an excitation circuit for simulating a pulsed laser fuze detector using the PSPICE simulation unit. This involves realizing simulation data interaction between the excitation circuit simulation prediction module and the PSPICE simulation unit through the SIMULINK simulation platform. Furthermore, utilize the signal source models in the SIMULINK component library to input parameters such as the pulse signal source (repetition rate, pulse width, amplitude), the driver chip supply voltage, and the RLC charging / discharging circuit supply voltage in the excitation circuit. Simulate the excitation circuit of the pulsed laser fuze detector using the PSPICE simulation unit to obtain the second forward drive current of the excitation circuit.

[0032] As a preferred approach, a PSPICE simulation unit is added to the SIMULINK simulation platform. To enable simulation data interaction between the excitation circuit simulation prediction module and the PSPICE simulation unit, the SIMULINK and PSPICE simulation files are saved in the same path. Then, an input source is added to the PSPICE simulation unit, and the signal source model in the SIMULINK component library is used to realize the input of the voltage source in the excitation circuit. The PSPICE simulation unit assigns values ​​to the parameterized circuit parameters so that the second forward drive current output by the simulation can be used as the input of the laser simulation prediction module. The output result is then input to the data processing and visualization module for visualization display, thus realizing data transfer.

[0033] Step 3: In the laser simulation prediction module, construct a laser output power model to determine the functional relationship between the laser output power and the second forward drive current. Input the second forward drive current of the excitation circuit, which is output from the SIMULINK simulation platform in Step 2, into the laser output power model. Simultaneously input the second laser parameters, namely the threshold current, peak current, electro-optical efficiency, and adjustment coefficient parameters. Solve the laser output power model to obtain the laser output power. Take the peak power result as the input to the optical system simulation prediction module, and then input the laser output power into the data processing and visualization module for visualization display.

[0034] The functional relationship curve between laser output power and second forward drive current is determined based on the selected laser model, as shown below:

[0035]

[0036] In the formula, η is the electro-optic efficiency, K is the adjustment coefficient, and I th I is the laser threshold current. maxThis represents the peak current at which the laser emits light normally. Based on this formula, the second forward drive current of the excitation circuit output by the SIMULINK simulation platform described in step two is used as the input to the laser model. A laser simulation prediction module is established to simulate and obtain the laser output power. This improves the simulation accuracy of the laser output power while obtaining the second forward drive current value and the second laser parameters.

[0037] Step 4: Construct an optical system model in the optical system simulation and prediction module to determine the input of third laser parameters, lens parameters, and output of spot diameter and peak illuminance. Input the laser peak power output from the laser simulation and prediction module described in Step 3 into the optical system model, along with the third laser parameters (center wavelength, meridional divergence angle, sagittal divergence angle, emitting surface length, and emitting surface width) and lens parameters (lens type, material, object distance, thickness, optical aperture, radius of curvature, and conic coefficient). Solve the optical system model to obtain the near-field spot diameter, far-field spot diameter, and peak illuminance. Input the results into the data processing and visualization module for visualization. The optical system simulation is performed with the output of the laser simulation and prediction module and the specific parameters of the lens used, ensuring accurate prediction of the spot diameter and peak illuminance, thereby achieving performance prediction of the laser beam under electro-optical coupling simulation conditions.

[0038] Preferably, the lens used in step four is an integrated aspherical lens as the collimating lens, and the lens equation of the axisymmetric aspherical collimating lens is:

[0039]

[0040] The light beam, after passing through the lens, ultimately emerges as a parallel straight line, collimated along the meridional direction. According to the principle of equal optical path length, the optical path lengths of the two light rays in the laser collimation model are equal, therefore:

[0041]

[0042] In the formula, f is the focal length of the lens, and w f Let n1 be the effective aperture height of the lens, n2 be the lens thickness, and n1 and n2 be the refractive indices of air and the lens, respectively. The refractive index of air is 1, therefore:

[0043]

[0044] From equation (17), we can obtain w f Since it follows the hyperboloid equation, the surface properties of an aspherical lens are hyperbolic. Let the laser divergence angle be θ, the distance from the lens be d, the mirror surface be defined by a hyperbola, L be the directrix, F be the focal point, c1 be the focal length, the refractive index be n, and the parallel beam of the emitted light be w. f According to Fermat's theorem:

[0045]

[0046] Define R1 as the radius of curvature of S1, and the image distance of S1 as d. According to the principle of spherical imaging, we have:

[0047] R1=(n-1)d1 (19)

[0048] The equation of the mirror hyperbola is:

[0049]

[0050] Based on the properties of hyperbolas, the radius of curvature of a hyperbola is... focal length The distance from the hyperbola to the directrix is Eccentricity e = c1 / a1, yielding the equation:

[0051]

[0052] Equations (20) and (21) can be combined to determine the hyperbola equation, obtain the laser collimation model, and then determine the mirror parameters. The input parameters include lens type, material, object distance, thickness, optical aperture, radius of curvature, and conic coefficient.

[0053] Preferably, the optical system model is built and simulated using ZEMAX optical simulation software. The input parameters include the parameters of the third laser and the lens parameters calculated by the above formula. The collimation performance of the optical system is effectively characterized by the near-field spot diameter, far-field spot diameter and spot energy peak illuminance output by the optical system simulation prediction module.

[0054] Step 5: Build a human-computer interaction interface in the data processing and visualization module. First, call the simulation results of the first forward drive current from the excitation circuit simulation prediction module and take the peak data for numerical and waveform visualization. Then, call the laser power simulation results from the laser simulation prediction module and take the peak data for numerical and waveform visualization. Finally, call the spot diagram and spot illuminance simulation results from the optical system simulation prediction module and take the spot diameter and peak illuminance data for numerical and graphical visualization.

[0055] To achieve data interaction and compatibility among the above modules, the data processing and visualization module is preferably implemented using MATLAB software. A GUI interface is built using MATLAB software. First, the simulation results of the first forward drive current from the excitation circuit simulation prediction module are called and the peak data is extracted for numerical and waveform visualization. Then, the simulation results of the laser power from the laser simulation prediction module are called and the peak data is extracted for numerical and waveform visualization. Finally, the simulation results of the spot diagram and spot illuminance from the optical system simulation prediction module are called and the spot diameter and peak illuminance data are extracted for numerical and graphical visualization.

[0056] The process also includes step six: performing multiple simulations based on the parameters transformed in steps one through four. Based on the excitation circuit simulation prediction module described in step one, the first laser parameters are reasonably set through multiple simulations, resulting in a first forward drive current with narrow pulse width, short rise time, and high peak current. Based on the laser simulation prediction module described in step three, a laser output power model is reasonably set through multiple simulations to determine the functional relationship between the laser output power and the second forward drive current, and the second laser parameters are input, resulting in a laser output power with narrow pulse width and high peak power. Based on the optical system simulation prediction module described in step four, an optical system model is reasonably set through multiple simulations to determine the third laser parameters, lens parameter inputs, and the output of the spot diameter and peak illuminance results, used to obtain simulation results for the optimal near-field spot diameter, far-field spot diameter, and peak spot energy illuminance. Based on the data processing and visualization module described in step five, data interaction and compatibility between the above modules are realized, and the simulation results are visualized. By digitally optimizing the pulsed laser fuze detector's transmitting module, the accuracy of hardware prediction for the transmitting module is improved, the hardware debugging cycle is shortened, and the integrated design optimization of circuits and optics is achieved, effectively enhancing the detection range and ranging accuracy of the pulsed laser fuze detector.

[0057] Beneficial effects:

[0058] 1. This invention discloses a digital prediction system and method for the emission module of a pulsed laser fuze detector. In the excitation circuit simulation prediction module, an excitation circuit forward drive current model of the electrical simulation module is constructed. In addition to adding circuit parameters (MOS transistor switch, switch driver chip, loop inductor, energy storage capacitor, and loop resistance), the excitation circuit model also considers the influence of first laser parameters (internal resistance, stray inductance, and stray capacitance) on the pulse width, peak value, and rise time of the first forward drive current. The excitation circuit forward drive current model uses parameter scanning simulation technology to optimize the laser's internal resistance, stray inductance, and stray capacitance parameters, increasing the peak value of the first forward drive current and shortening its pulse width and rise time. This results in the pulsed laser signal affected by the waveform of the first forward drive current having narrow pulse width, short rise time, and high peak power, thereby improving the detection range and ranging accuracy of the pulsed laser fuze detector.

[0059] 2. This invention discloses a digital prediction system and method for a pulsed laser fuze detector emission module. It performs integrated electrical and optical optimization design on the discrete simulation model of the detector, establishes an excitation circuit simulation prediction module using PSPICE electrical simulation software, establishes an optical system simulation prediction module using ZEMAX optical simulation software, completes data interaction between the excitation circuit simulation prediction module and the electrical simulation software based on the SIMULINK simulation platform, establishes a laser simulation prediction module and performs joint parameter co-simulation with the excitation circuit simulation prediction module, and uses MATLAB software to build a data processing and visualization module to achieve data interaction and compatibility between the above modules. This provides a prediction approach and solution for the integrated electrical and optical design of the pulsed laser fuze detector emission module.

[0060] 3. The present invention discloses a digital prediction system and method for the emission module of a pulsed laser fuze detector. Based on the beneficial effects 1 and 2, it can accurately predict the laser output power of the pulsed laser detector under the condition of obtaining the electrical simulation results of the first forward drive current. It can analyze the variation law of the spot diameter and peak illuminance under the condition of obtaining the output results of the laser simulation prediction module and the specific parameters of the lens used, so as to further optimize the collimation effect of the optical system, realize digital collaborative modeling of the emission module of the pulsed laser fuze detector, improve the hardware prediction accuracy of the emission module, shorten the hardware debugging cycle, and provide an effective prediction method for the hardware design and optimization of the pulsed laser fuze detector. Attached Figure Description

[0061] Figure 1 This is a block diagram of a digital prediction system for a pulsed laser fuze detector emission module disclosed in this invention;

[0062] Figure 2 This is a schematic diagram of the excitation circuit simulation prediction module in an embodiment of the present invention;

[0063] Figure 3 This is a schematic diagram of the SIMULINK simulation platform in an embodiment of the present invention;

[0064] Figure 4 This is a schematic diagram of the optical system simulation and prediction module in an embodiment of the present invention;

[0065] Figure 5 This is a schematic diagram of the RLC charging and discharging circuit in step one of the present invention;

[0066] Figure 6 This is a simulation waveform of the first forward drive current after changing the stray capacitance value in step one of the embodiments of the present invention.

[0067] Figure 7 This is a simulation waveform of the first forward drive current after changing the stray inductance value in step one of the embodiments of the present invention.

[0068] Figure 8 This is a simulation waveform of the first forward drive current obtained by changing the internal resistance of the laser in step one of the embodiments of the present invention.

[0069] Figure 9 This is a waveform diagram of the simulation result of the second forward drive current in step two of the embodiments of the present invention;

[0070] Figure 10 This is a graph showing the functional relationship between the laser output power and the second forward drive current in step three of this embodiment of the invention.

[0071] Figure 11 The waveform diagram shows the simulation result of the laser output power in step three of the present invention.

[0072] Figure 12 This is a schematic diagram of the laser collimation model in step four of an embodiment of the present invention;

[0073] Figure 13 The images shown are the near-field and far-field effective light spot patterns obtained from the optical system simulation in step four of this embodiment of the invention.

[0074] Figure 14 This is a graph showing the light spot energy illuminance curve obtained from the optical system simulation in step four of this embodiment of the invention. Detailed Implementation

[0075] To better illustrate the purpose and advantages of the present invention, the invention will be further described below in conjunction with the accompanying drawings and examples.

[0076] like Figure 1As shown, this embodiment discloses a digital prediction system for the emission module of a pulsed laser fuze detector, including an excitation circuit simulation prediction module, a laser simulation prediction module, an optical system simulation prediction module, and a data processing and visualization module. The system utilizes the SIMULINK simulation platform to complete data interaction between the excitation circuit simulation prediction module and electrical simulation software, and establishes a laser simulation prediction module for joint parameter co-simulation with the excitation circuit simulation prediction module. The excitation circuit simulation prediction module is used to simulate the changes in key parameters of the emission excitation circuit of the pulsed laser fuze detector under different operating conditions, such as... Figure 2 As shown. Specific parameters include signal source parameters (repetition rate, pulse width, amplitude), loop parameters (switch drive voltage, RLC charging / discharging loop power supply voltage, loop inductance, energy storage capacitor, loop resistance), and first laser parameters (internal resistance, stray inductance, and stray capacitance). Parameter scanning simulation technology is used to optimize the laser's internal resistance, stray inductance, and stray capacitance parameters, increasing the peak value of the first forward drive current and shortening its pulse width and rise time. This results in the pulsed laser signal, influenced by the waveform of the first forward drive current, having narrow pulse width, short rise time, and high peak power, thereby improving the detection range and ranging accuracy of the pulsed laser fuze detector. The SIMULINK simulation platform is used to add the PSPICE simulation unit and call the excitation circuit model constructed by the excitation circuit simulation prediction module. Based on the excitation circuit model, a simulation of the excitation circuit parameter variation law of the pulsed laser fuze detector is constructed. This enables simulation data interaction between the excitation circuit simulation prediction module and the PSPICE electrical simulation software. The second forward drive current of the excitation circuit is obtained through the PSPICE simulation unit's simulation of the pulsed laser fuze detector's excitation circuit, and serves as the input to the laser simulation prediction module. The laser simulation prediction module is modeled in the SIMULINK simulation platform. It inputs the second forward drive current obtained from the PSPICE simulation unit into the laser output power model within the laser simulation prediction module, along with second laser parameters (electro-optic efficiency, adjustment coefficient, threshold current, and peak current). The laser output power is then calculated through the laser output power model. Figure 3 As shown, the laser peak power is output to the optical system model in the optical system simulation and prediction module. The optical system simulation and prediction module takes the laser peak power output from the laser simulation and prediction module, inputs it into the optical system model, and simultaneously inputs third laser parameters (center wavelength, meridional divergence angle, sagittal divergence angle, emitting surface length, emitting surface width) and lens parameters (lens type, material, object distance, thickness, optical aperture, radius of curvature, conic coefficient). The optical system model calculates the near-field spot diameter, far-field spot diameter, and peak spot energy illuminance, and outputs the simulation results to the data processing and visualization module, such as... Figure 4As shown, the data processing and visualization module records the prediction results from the excitation circuit simulation prediction module, the laser simulation prediction module, and the optical system simulation prediction module, and performs data processing and visualization display. The prediction results include the first forward drive current output by the excitation circuit simulation prediction module, the laser output power output by the laser simulation prediction module, and the near-field spot diameter, far-field spot diameter, and peak spot energy illuminance output by the optical system simulation prediction module.

[0077] This embodiment discloses a digital prediction method for a pulsed laser fuze detector emission module, which is implemented based on the aforementioned digital prediction system for a pulsed laser fuze detector emission module. The specific implementation steps of the digital prediction method for a pulsed laser fuze detector emission module are as follows:

[0078] Step 1: To improve the detection range and ranging accuracy of the pulsed laser fuze detector, a forward drive current model of the excitation circuit is constructed in the excitation circuit simulation prediction module. This model, in addition to adding parameters for the MOS transistor switch, switch driver chip, loop inductor, energy storage capacitor, and loop resistance, also considers the influence of the laser's internal resistance, stray inductance, and stray capacitance on the pulse width, peak value, and rise time of the first forward drive current. This forward drive current model optimizes the laser's internal resistance, stray inductance, and stray capacitance parameters through simulation, thereby increasing the peak value of the first forward drive current and shortening its pulse width and rise time.

[0079] The forward drive current model of the pulsed laser excitation circuit module is as follows:

[0080]

[0081] In the formula, C1 is the capacitance of the energy storage capacitor, C2 is the stray capacitance of the laser, R1 is the circuit resistance, R2 is the internal resistance of the laser, L1 is the circuit inductance, L2 is the stray inductance of the laser, and V is the power supply voltage of the RLC charging and discharging circuit.

[0082] To investigate the effects of laser internal resistance, stray inductance, and stray capacitance on the pulse width, peak value, and rise time of the first forward drive current, a forward drive current model of the excitation circuit was established using PSPICE electrical simulation software. First, a MOSFET switch and a MOSFET switch driver chip were added to complete the MOSFET switch driver circuit and the RLC charging / discharging circuit. The RLC charging / discharging circuit is shown below. Figure 5 As shown. The pulse voltage signal source has a transmission repetition rate of 1MHz, a pulse width of 20ns, an amplitude of 3.3V, a MOS transistor driver chip power supply voltage of 15V, and an RLC charging and discharging circuit power supply voltage of 30V. The energy storage capacitor, circuit inductor, and circuit resistance in the circuit are set to C1 = 1μF, L1 = 5nH, and R1 = 0.3Ω, respectively.

[0083] By setting control variables for the laser's internal resistance, stray inductance, and stray capacitance, and selecting the parametric scanning simulation mode, the laser's internal resistance R2 = 0.3Ω and stray inductance L2 = 5nH were kept constant. The stray capacitance C2 was then set to 10nF, 20nF, 30nF, 40nF, and 50nF respectively. The simulation yielded the first forward drive current waveform as shown below. Figure 6 As shown in the figure, it can be seen that as the value of stray capacitance C2 increases, the pulse width of the first forward drive current increases, the peak value decreases, and the rise time increases, which conforms to the variation law of the forward drive current model in equation (1). Then, keeping the laser internal resistance R2 = 0.3Ω and the stray capacitance C2 = 10nF unchanged, the value of stray inductance L2 is set to 5nH, 10nH, 20nH, 30nH, and 40nH respectively. The waveform of the first forward drive current obtained by simulation is shown in the figure. Figure 7 As shown in the figure, it can be seen that as the value of stray inductance L2 increases, the pulse width of the first forward drive current increases, the peak value decreases, and the rise time increases, which conforms to the variation law of the forward drive current model in equation (1). Finally, keeping the stray inductance L2 = 5nH and the stray capacitance C2 = 10nF of the laser constant, the value of the internal resistance R2 of the laser is set to 0.3Ω, 0.5Ω, 0.8Ω, 1Ω, and 2Ω respectively. The waveform of the first forward drive current obtained by simulation is shown in the figure. Figure 8 As shown in the figure, as the laser internal resistance R2 increases, the peak value of the first forward drive current decreases, and the pulse width and rise time are less affected by the change in the laser internal resistance R2, which also conforms to the change law of the forward drive current model in equation (1).

[0084] Referring to the simulation results and patterns in step one, in the actual design and fabrication of the pulsed laser emission excitation circuit board, the internal resistance, stray inductance, and stray capacitance of the laser can be reduced by optimizing the circuit layout and the positional structure of the laser and other components. This results in the first forward drive current having the characteristics of narrow pulse width, short rise time, and high peak current. Consequently, the pulsed laser signal affected by the waveform of the first forward drive current has the performance of narrow pulse width, short rise time, and high peak power, thereby improving the detection range and ranging accuracy of the pulsed laser fuze detector.

[0085] Step 2: Build a SIMULINK simulation platform, add the PSPICE simulation unit from the model library, call the excitation circuit forward drive current model established in the PSPICE electrical simulation software in Step 1, and build an excitation circuit forward drive current model for simulating a pulsed laser fuze detector based on the PSPICE simulation unit. That is, the simulation data interaction between the excitation circuit simulation prediction module and the PSPICE simulation unit is realized through the SIMULINK simulation platform.

[0086] First, click the "CO-SIMULATION" option in the output interface of the PSPICE electrical simulation software. Run MATLAB software on your computer and create a SIMULINK simulation platform in MATLAB. Add the PSPICE simulation unit. To enable simulation data interaction between the two software programs, save the SIMULINK and PSPICE simulation files in the same path. Then, add the input source described in step one to the PSPICE simulation unit. That is, use the signal source model in the SIMULINK component library to implement the parameter input of the pulse signal source (1MHz, pulse width 20ns, amplitude 3.3V), the MOS transistor driver chip supply voltage (15V), and the RLC charging and discharging circuit supply voltage (30V) in the excitation circuit. Finally, assign values ​​to the parameterized energy storage capacitor, loop resistance, loop inductance, laser internal resistance, stray capacitance, and stray inductance parameters through the PSPICE simulation unit. Taking C1 = 1μF, R1 = 0.3Ω, L1 = 5nH, R2 = 0.3Ω, C2 = 10nF, and L2 = 5nH as an example, the simulation yields the second forward drive current waveform as shown below. Figure 9 As shown in the figure, the peak value of the simulated second forward drive current is 18A, and the pulse width is approximately 20ns. The simulated second forward drive current is used as the input to the laser simulation prediction module, and the output result is input to the data processing and visualization module for visualization display, thus realizing data transmission.

[0087] Step 3: Establish a laser simulation prediction module. Construct a laser output power model to determine the functional relationship between laser output power and forward drive current. Input the second forward drive current of the excitation circuit, which is output from the SIMULINK simulation platform in Step 2, into the laser output power model. Simultaneously input the second laser parameters, namely the threshold current, peak current, electro-optic efficiency, and adjustment coefficient parameters. The laser output power is then calculated through the laser output power model.

[0088] The curve showing the functional relationship between laser output power and the second forward drive current is shown below:

[0089]

[0090] In the formula, η is the electro-optic efficiency, K is the adjustment coefficient, and I th I is the laser threshold current. max This represents the peak current during normal laser emission. Taking a 905nm laser as an example, the functional relationship curve between the laser's output power and the second forward drive current is obtained from the technical manual, as shown below. Figure 10 As shown, the threshold current I th =3A, peak current I max=21A, the electro-optic efficiency and adjustment coefficient can be obtained by linear fitting of the function relationship curve, i.e. η·K = 1.3601, η·I th = 1.2085. Expressed as a piecewise function, when the laser injection current is between 0 and I... th When the input current is greater than I, the output power is 0; when the input current is greater than I... th However, when the input current is less than the second forward drive current corresponding to the maximum output power, the relationship between the output power and the second forward drive current is a linear function; when the input current value is greater than the second forward drive current corresponding to the peak power of the laser itself, the output power of the laser no longer increases. Based on this, the laser output power model is established as follows:

[0091]

[0092] Add the FUNCTION module from the SIMULINK module library to construct the laser output power model described in equation (3). Input the second forward drive current of the excitation circuit output by the SIMULINK simulation platform in step two into the model. Simultaneously input the threshold current, peak current, electro-optic efficiency, and adjustment coefficient. Calculate the laser output power through the laser output power model. The laser output power waveform is shown below. Figure 11 As shown in the figure, the peak output power of the laser is 21W, which is consistent with... Figure 8 The second forward drive current waveform is similar. The peak power value is taken as the input to the optical system simulation prediction module, and the laser output power is input to the data processing and visualization module for visualization display.

[0093] Step 4: Establish the optical system simulation and prediction module. Construct an optical system model to determine the input parameters of the third laser and lens, and the output results for the beam diameter and peak illuminance. The laser collimation model is as follows: Figure 12 As shown, an integrated aspherical lens is used as the collimating lens. The lens equation of the axisymmetric aspherical collimating lens is:

[0094]

[0095] The light beam, after passing through the lens, ultimately emerges as a parallel straight line, collimated along the meridional direction. According to the principle of equal optical path length, the optical path lengths of the two light rays in the laser collimation model are equal, therefore:

[0096]

[0097] In the formula, f is the focal length of the lens, and w f Let n1 be the effective aperture height of the lens, n2 be the lens thickness, and n1 and n2 be the refractive indices of air and the lens, respectively. The refractive index of air is 1, therefore:

[0098]

[0099] From equation (6), we can obtain w f Since it follows the hyperboloid equation, the surface properties of an aspherical lens are hyperbolic. Let the laser divergence angle be θ, the distance from the lens be d, the mirror surface be defined by a hyperbola, L be the directrix, F be the focal point, c1 be the focal length, the refractive index be n, and the parallel beam of the emitted light be w. f According to Fermat's theorem:

[0100]

[0101] Define R1 as the radius of curvature of S1, and the image distance of S1 as d. According to the principle of spherical imaging, we have:

[0102] R1=(n-1)d1 (8)

[0103] The equation of the mirror hyperbola is:

[0104]

[0105] Based on the properties of hyperbolas, the radius of curvature of a hyperbola is... focal length The distance from the hyperbola to the directrix is Eccentricity e = c1 / a1, yielding the equation:

[0106]

[0107] By combining equations (9) and (10), the hyperbolic equation can be determined, the laser collimation model can be obtained, and then the mirror parameters can be determined. The optical system model is built in ZEMAX optical simulation software, and the model is built in non-sequential mode. The lens and light source are simulated by OBJECT entity simulation. The input parameters related to the optical system include the third laser parameters (peak power, center wavelength, meridional divergence angle, sagittal divergence angle, emitting surface length, emitting surface width) and lens parameters (type, material, object distance, thickness, optical aperture, radius of curvature, conic coefficient), as shown in Table 1.

[0108] Table 1. Simulation parameter settings for the optical system

[0109]

[0110] The optical system simulation and prediction module obtains the near-field spot diameter, far-field spot diameter, and peak spot energy illuminance, and uses these to characterize the collimation of the optical system, such as... Figure 13 and Figure 14 As shown.

[0111] Step 5: Establish the data processing and visualization module. To achieve data interaction and compatibility between the excitation circuit simulation prediction module, the laser simulation prediction module, and the optical system simulation prediction module, the data processing and visualization module is preferably implemented using MATLAB software. A GUI interface is built using MATLAB. First, the simulation results of the first forward drive current from the excitation circuit simulation prediction module are called, and the peak data is extracted for numerical and waveform visualization. Then, the laser power simulation results from the laser simulation prediction module are called, and the peak data is extracted for numerical and waveform visualization. Next, a cross-platform communication interface is programmed for the optical system simulation prediction module. ZOS-API scripts are used to achieve synchronous or asynchronous data interaction. A GUI built using MATLAB is provided for application layer calls. Optical system parameters are input, and the pre-built optical system model from the ZEMAX optical simulation software is called to obtain the near-field spot diameter, far-field spot diameter, and peak illuminance simulation results from the optical system simulation prediction module. The spot diameter and peak illuminance data are then extracted for numerical and graphical visualization.

[0112] At this point, the digital prediction system and method for the pulsed laser fuze detector emission module under the conditions of this embodiment have been completed.

[0113] Step Six: Perform multiple simulations based on the parameter changes from Steps One to Four. Based on the excitation circuit simulation prediction module described in Step One, the laser's internal resistance, stray inductance, and stray capacitance parameters are reasonably set through multiple simulations, resulting in a first forward drive current with narrow pulse width, short rise time, and high peak current. Based on the laser simulation prediction module described in Step Three, a laser output power model is reasonably set through multiple simulations to determine the functional relationship between the laser output power and the second forward drive current, resulting in a laser output power with narrow pulse width and high peak power. Based on the optical system simulation prediction module described in Step Four, an optical system model is reasonably set through multiple simulations to determine the third laser parameters, lens parameter inputs, and the output of the spot diameter and peak illuminance results, obtaining simulation results for the optimal near-field spot diameter, far-field spot diameter, and peak spot energy illuminance. Based on the data processing and visualization module described in Step Five, data interaction and compatibility between the above modules are achieved, and the simulation results are visualized. By digitally designing the pulsed laser fuze detector's transmitting module, high-precision prediction of the module's hardware design is achieved, shortening the hardware debugging cycle, realizing integrated optimization of circuitry and optics, and effectively improving the detection range and ranging accuracy of the pulsed laser fuze detector.

[0114] The above detailed description further illustrates the purpose, technical solution, and beneficial effects of the invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A digital prediction system for the emission module of a pulsed laser fuze detector, characterized in that: The system includes an excitation circuit simulation and prediction module, a laser simulation and prediction module, an optical system simulation and prediction module, and a data processing and visualization module. The excitation circuit simulation and prediction module uses the SIMULINK simulation platform to facilitate data interaction between the electrical simulation software and the excitation circuit simulation module. It also establishes a laser simulation and prediction module and performs joint parameter co-simulation with the excitation circuit simulation and prediction module. The excitation circuit simulation and prediction module simulates the changes in key parameters of the pulsed laser fuze detector's emission excitation circuit under different operating conditions, thereby improving the detection range and ranging accuracy of the pulsed laser fuze detector. In addition to adding circuit parameters, the excitation circuit model also considers the influence of the first laser parameters on the fuze's detection range and ranging accuracy, constructing an excitation circuit model for the electrical simulation module. The laser's internal resistance, stray inductance, and stray capacitance parameters are optimized to increase the peak value of the first forward drive current, shorten its pulse width and rise time, thereby improving the detection range and ranging accuracy of the pulsed laser fuze detector. The SIMULINK simulation platform is used to add a PSPICE simulation unit, call the excitation circuit model constructed by the excitation circuit simulation prediction module, and build a simulation of the excitation circuit parameter variation law of the pulsed laser fuze detector based on the excitation circuit model. This enables data interaction between the excitation circuit simulation prediction module and the electrical simulation software. The second forward drive current of the excitation circuit is obtained through the PSPICE simulation unit's simulation of the pulsed laser fuze detector's excitation circuit, and serves as the input to the laser simulation prediction module. The laser simulation prediction module is modeled in the SIMULINK simulation platform. It inputs the second forward drive current obtained from the PSPICE simulation unit into the laser output power model within the laser simulation prediction module, along with second laser parameters. The laser output power is calculated using the laser output power model, and the peak laser power is output to the optical system model in the optical system simulation prediction module. The optical system simulation prediction module inputs the peak laser power output from the laser simulation prediction module into the optical system model, along with third laser parameters and lens parameters. The optical system model calculates the near-field spot diameter, far-field spot diameter, and peak spot energy illuminance, and outputs the results to the data processing and visualization module. The data processing and visualization module records the prediction results from the excitation circuit simulation prediction module, the laser simulation prediction module, and the optical system simulation prediction module, and performs data processing and visualization. The prediction results include the first forward drive current output by the excitation circuit simulation prediction module, the laser output power output by the laser simulation prediction module, and the near-field spot diameter, far-field spot diameter, and peak spot energy illuminance output by the optical system simulation prediction module. The circuit parameters include MOSFET switches, switch driver chips, loop inductors, energy storage capacitors, and loop resistors; The parameters of the first laser include internal resistance, stray inductance, and stray capacitance; The second laser parameters include threshold current, peak current, electro-optic efficiency, and adjustment coefficient parameters; The parameters of the third laser include center wavelength, meridional divergence angle, sagittal divergence angle, emitting surface length, and emitting surface width; The lens parameters include lens type, material, object distance, thickness, optical aperture, radius of curvature, and conic coefficient.

2. A digital prediction method for a pulsed laser fuze detector emission module, implemented based on the digital prediction system for a pulsed laser fuze detector emission module as described in claim 1, characterized in that: Includes the following steps, Step 1: To improve the detection range and ranging accuracy of the pulsed laser fuze detector, a forward drive current model of the excitation circuit of the electrical simulation module is constructed in the excitation circuit simulation prediction module. In addition to adding circuit parameters, the excitation circuit model also considers the influence of the first laser parameters on the pulse width, peak value and rise time of the first forward drive current. The forward drive current model of the excitation circuit optimizes the parameters of laser internal resistance, stray inductance and stray capacitance through simulation, improves the peak value of the first forward drive current, and shortens the pulse width and rise time of the first forward drive current. As a result, the pulsed laser signal affected by the waveform of the first forward drive current has the characteristics of narrow pulse width, short rise time and high peak power, thereby improving the detection range and ranging accuracy of the pulsed laser fuze detector. Step 2: Add a PSPICE simulation unit to the SIMULINK simulation platform. Based on the excitation circuit forward drive current model constructed by the excitation circuit simulation prediction module, build an excitation circuit for simulating a pulsed laser fuze detector using the PSPICE simulation unit. This enables simulation data interaction between the excitation circuit simulation prediction module and the PSPICE simulation unit through the SIMULINK simulation platform. Furthermore, utilize the signal source model from the SIMULINK component library to input parameters such as the pulse signal source, driver chip supply voltage, and RLC charging / discharging circuit supply voltage in the excitation circuit. Simulate the excitation circuit of the pulsed laser fuze detector using the PSPICE simulation unit to obtain the second forward drive current of the excitation circuit, which serves as the input to the laser simulation prediction module. The output result is then input to the data processing and visualization module for visualization, thus achieving data transfer. Step 3: In the laser simulation prediction module, construct a laser output power model to determine the functional relationship between the laser output power and the second forward drive current; input the second forward drive current of the excitation circuit simulated and output by the SIMULINK simulation platform in Step 2 into the laser output power model, and simultaneously input the second laser parameters, namely the threshold current, peak current, electro-optic efficiency, and adjustment coefficient parameters. Solve the laser output power model to obtain the laser output power, take the peak power result as the input of the optical system simulation prediction module, and input the laser output power into the data processing and visualization module for visualization display; Step 4: Construct an optical system model in the optical system simulation and prediction module to determine the third laser parameters, lens parameters, and output the beam diameter and peak illuminance. Input the laser peak power output from the laser simulation and prediction module described in Step 3 into the optical system model, along with the third laser parameters (center wavelength, meridional divergence angle, sagittal divergence angle, emitting surface length, and emitting surface width) and lens parameters (lens type, material, object distance, thickness, optical aperture, radius of curvature, and conic coefficient). Calculate the near-field beam diameter, far-field beam diameter, and peak illuminance using the optical system model. Input the results into the data processing and visualization module for visualization. The optical system simulation is performed with the output results from the laser simulation and prediction module and the specific parameters of the lens used, ensuring accurate prediction of the beam diameter and peak illuminance, thereby achieving performance prediction of the laser beam under electro-optical coupling simulation conditions. Step 5: Build a human-computer interaction interface in the data processing and visualization module. First, call the simulation results of the first forward drive current of the excitation circuit simulation prediction module and take the peak data for numerical and waveform visualization display. Then, the laser power simulation results from the laser simulation prediction module are called and the peak data is obtained for numerical and waveform visualization. Finally, the spot diagram and spot illuminance simulation results from the optical system simulation prediction module are called and the spot diameter and peak illuminance data are obtained for numerical and graphical visualization.

3. The digital prediction method for the emission module of a pulsed laser fuze detector as described in claim 2, characterized in that: It also includes step six, which involves performing multiple simulations based on the parameters changed in steps one through four; based on the excitation circuit simulation prediction module described in step one, the first laser parameters are reasonably set through multiple simulations to ensure that the obtained first forward drive current has narrow pulse width, short rise time, and high peak current; based on the laser simulation prediction module described in step three, the laser output power model used to determine the functional relationship between the laser output power and the second forward drive current is reasonably set through multiple simulations, and the second laser parameters are input to ensure that the obtained laser output power has narrow pulse width and high peak power; based on the optical system simulation prediction module described in step four, through... Through multiple simulations, an optical system model is reasonably set to determine the parameters of the third laser, the input of lens parameters, and the output of the spot diameter and peak illuminance. This model is used to obtain simulation results of the optimal near-field spot diameter, far-field spot diameter, and peak spot energy illuminance. Based on the data processing and visualization module described in step five, data interaction and compatibility between the above modules are realized, and the simulation results are visualized. By digitally optimizing the pulsed laser fuze detector's emission module, the hardware prediction accuracy of the emission module is improved, the hardware debugging cycle is shortened, and integrated circuit and optical optimization is achieved, effectively improving the detection range and ranging accuracy of the pulsed laser fuze detector.

4. The digital prediction method for the emission module of a pulsed laser fuze detector as described in claim 2 or 3, characterized in that: In step one, in the excitation circuit simulation prediction module, based on the charging and discharging principle of the RLC circuit, considering the stray inductance, stray capacitance, and resistance values ​​caused by the laser layout, during discharge, C1, C2, R1, R2, L1, and L2 form an RLC resonant circuit, and the following equation holds true for the discharge circuit: （1） （2） （3） In the formula, C1 is the capacitance of the energy storage capacitor, C2 is the stray capacitance of the laser peripheral, R1 is the loop resistance, R2 is the internal resistance of the laser, L1 is the loop inductance, L2 is the stray inductance of the laser, i1 and i2 are the currents flowing through the laser and the stray capacitance of the laser peripheral, respectively, and i is the total loop current. Substituting equations (2) and (3) into equation (1) and differentiating and simplifying, we get: （4） The general solution of equation (4) is expressed in the following form: （5） In the formula, the values ​​of constant coefficients S1, S2, A1, and A2 are determined by the operating state of the circuit, which in turn depends on the values ​​of R, L, and C. Theoretically, the attenuation coefficient of the circuit is defined as δ = R / 2L, where R is the total resistance of the series circuit and L is the total inductance of the series resistance. Therefore, the attenuation coefficient is defined as: （6） The natural frequency is: （7） The damping coefficient is: （8） The natural angular frequency of the circuit is: （9） （10） From equation (9), we know that when ς < 1, the circuit is in an underdamped state. At this time, the peak value of the first forward drive current is the largest and the pulse width is the narrowest. Therefore, the forward drive current of the pulsed laser excitation circuit is established as follows: （11） （12） Substituting the parameters into equation (11), the forward drive current model of the pulsed laser excitation circuit is obtained as follows: （13）。 5. The digital prediction method for the emission module of a pulsed laser fuze detector as described in claim 4, characterized in that: The forward drive current model of the excitation circuit was established using PSPICE electrical simulation software. First, a MOSFET switch and a MOSFET switch driver chip were added to complete the MOSFET switch driver circuit and the RLC charging and discharging loop. Then, the energy storage capacitor, loop inductance, loop resistance, laser internal resistance, stray inductance, and stray capacitance in the circuit were set as control variables. The parametric scanning simulation mode was selected, and under the premise of selecting appropriate parameter values, the first forward drive current had the performance of narrow pulse width, short rise time, and high peak current.

6. The digital prediction method for the emission module of a pulsed laser fuze detector as described in claim 5, characterized in that: In the SIMULINK simulation platform, a PSPICE simulation unit is added. To enable simulation data interaction between the excitation circuit simulation prediction module and the PSPICE simulation unit, the SIMULINK and PSPICE simulation files are saved in the same path. Then, an input source is added to the PSPICE simulation unit, and the signal source model in the SIMULINK component library is used to realize the input of the voltage source in the excitation circuit. The PSPICE simulation unit assigns values ​​to the parameterized circuit parameters so that the second forward drive current output by the simulation can be used as the input of the laser simulation prediction module. The output result is then input to the data processing and visualization module for visualization display, thus realizing data transfer.

7. The digital prediction method for the emission module of a pulsed laser fuze detector as described in claim 6, characterized in that: In step three, the functional relationship curve between the laser output power and the second forward drive current is determined based on the selected laser model, as shown below: （14） In the formula, η is the electro-optic efficiency, K is the adjustment coefficient, and I th I is the laser threshold current. max The peak current for normal laser emission is given. Based on this formula, the second forward drive current of the excitation circuit output by the SIMULINK simulation platform described in step two is used as the input of the laser model to establish a laser simulation prediction module. The laser output power is obtained through simulation, thereby improving the simulation accuracy of the laser output power under the premise of obtaining the second forward drive current value and the second laser parameters.

8. The digital prediction method for the emission module of a pulsed laser fuze detector as described in claim 7, characterized in that: The lens described in step four uses an integrated aspherical lens as the collimating lens. The lens equation for the axially symmetric aspherical collimating lens is: （15） The light beam, after passing through the lens, ultimately emerges as a parallel straight line, collimated along the meridional direction. According to the principle of equal optical path length, the optical path lengths of the two light rays in the laser collimation model are equal, therefore: （16） In the formula, f is the focal length of the lens, and w f Let n1 be the effective aperture height of the lens, n2 be the lens thickness, and n1 and n2 be the refractive indices of air and the lens, respectively. Since the refractive index of air is 1, we obtain: （17） From equation (17), we can obtain w f The equation is for a hyperboloid, therefore the surface properties of an aspherical lens are hyperbolic; the laser divergence angle is defined as θ, the distance from the lens as d, the mirror surface is defined by a hyperbola, L is the directrix, F is the focal point, c1 is the focal length, the refractive index is n, and the parallel beam of the emitted light is w. f According to Fermat's theorem: （18） Define R1 as the radius of curvature of S1, and the image distance of S1 as d. According to the principle of spherical imaging, we have: （19） The equation of the mirror hyperbola is: （20） Based on the properties of hyperbolas, the radius of curvature of a hyperbola is... ,focal length The distance from the hyperbola to the directrix is eccentricity The equation is obtained as follows: （21） Equations (20) and (21) are combined to determine the hyperbola equation, obtain the laser collimation model, and then determine the mirror parameters. The input parameters include lens type, material, object distance, thickness, optical aperture, radius of curvature, and conic coefficient.

9. The digital prediction method for the emission module of a pulsed laser fuze detector as described in claim 8, characterized in that: The optical system model was built and simulated using ZEMAX optical simulation software. The input parameters included the parameters of the third laser and the calculated lens parameters. The collimation performance of the optical system was effectively characterized by the near-field spot diameter, far-field spot diameter, and peak spot energy illuminance output by the optical system simulation prediction module.

10. The digital prediction method for the emission module of a pulsed laser fuze detector as described in claim 9, characterized in that: The data processing and visualization module is implemented using MATLAB software. A GUI interface is built using MATLAB. First, the simulation results of the first forward drive current from the excitation circuit simulation prediction module are called and the peak data is extracted for numerical and waveform visualization. Then, the simulation results of the laser power from the laser simulation prediction module are called and the peak data is extracted for numerical and waveform visualization. Finally, the simulation results of the spot diagram and spot illuminance from the optical system simulation prediction module are called and the spot diameter and peak illuminance data are extracted for numerical and graphical visualization.

Images