Method and system for modeling and simulating spectral radiation characteristics of wide-spectrum surface source decoy

Abstract

The invention provides a wide-spectrum surface source bait spectral radiation characteristic modeling and simulation method and system, and the method comprises the steps: constructing a surface source bait particle effect parameterized model based on measured data and a particle system technology, and generating a dynamic surface source bait digital image in real time through dynamic image rendering; driving a wide-spectrum scene simulator by using the generated dynamic surface source bait digital image to generate surface source bait spectral radiation information; enabling the wide-spectrum scene simulator to generate corresponding surface source bait spectral radiation information, and comparing the surface source bait spectral radiation information with actually measured data after the surface source bait spectral radiation information is observed by the detector; and optimizing spectrum control parameters of the light filtering and splitting module of the wide-spectrum scene simulator, and calibrating the spectrum distribution simulation result of the surface source decoy. The method is high in real-time performance, high in spectrum simulation precision, flexible and high in engineering applicability.

Description

Technical Field

[0001] The invention relates to the field of guided semi-physical simulation, and in particular to a modeling and simulation method and system for spectral radiation characteristics of wide-band surface source decoys. Background Art

[0002] The surface source decoy is composed of thousands of foils, which can burn quickly in the air and spread quickly after being thrown to form a foil cloud, generating a large area of ​​infrared radiation. Due to its strong radiation, large radiation area, and long shielding time, it has developed into an efficient infrared imaging guidance jamming method. Therefore, generating realistic dynamic surface source decoy images in the guidance semi-physical simulation is of great significance for testing the anti-interference performance of the guidance control system.

[0003] The development of photoelectric detection technology and the improvement of spectral detection capabilities have put forward higher requirements for the spectral simulation accuracy of surface source decoys. The combustion and diffusion mechanisms of each foil of surface source decoys are very complicated. The spectral radiation characteristic calculation method based on flow field modeling has a large amount of calculation, low real-time performance, and it is difficult to ensure the accuracy of spectral calculation. Patent CN106529078A discloses a particle modeling method for fast surface source infrared decoys suitable for real-time simulation. The real-time combustion unit density distribution function is estimated by the movement position of the combustion unit in three directions, and the infrared radiation field distribution is obtained by using the scattered density of the combustion unit. Then, the particle system is used to generate the correspondingly distributed combustion unit scattered radiation particles in real time to form an infrared source decoy simulation image; although this method can solve the problem of large amount of calculation and long time consumption of surface source decoys in simulation, it mainly uses the scattered density of the combustion unit to obtain the infrared radiation field distribution, and it is difficult to ensure the simulation accuracy of the spectral radiation characteristics of the surface source decoy. In order to avoid this shortcoming, a modeling and simulation method for the spectral radiation characteristics of wide-band surface source decoys is proposed. Summary of the invention

[0004] In view of the defects in the prior art, the object of the present invention is to provide a method and system for modeling and simulating the spectral radiation characteristics of wide-band surface source decoys.

[0005] A method for modeling and simulating spectral radiation characteristics of a wide-band surface source decoy provided by the present invention includes:

[0006] Step S1: constructing a surface source decoy particle special effect parameterized model based on measured data and particle system technology, and generating a dynamic surface source decoy digital image in real time through dynamic image rendering;

[0007] Step S2: driving a wide-spectrum scene simulator with the generated dynamic surface source decoy digital image to generate spectral radiation information of the surface source decoy;

[0008] Step S3: The wide-spectrum scene simulator generates corresponding surface source decoy spectral radiation information, which is then observed by the detector and compared with the measured data;

[0009] Step S4: Optimize the spectrum control parameters of the wide-band scene simulator and calibrate the simulation results of the spectrum distribution of the surface source decoy.

[0010] Preferably, in step S1:

[0011] Analyze the measured burning energy, shape, size and movement and diffusion characteristics of surface source decoys, subdivide the parameters of surface source decoy characteristics, match the parameters with the basic model of particle system, and build a special effect model of surface source decoy particles. In the basic model of particle system, construct the particle properties, emitter properties, standard radiation pole properties, wind direction and gravity disturbance parameter characteristics, and simulate the relative intensity distribution, shape, movement and diffusion characteristics of surface source decoys;

[0012] The three-degree-of-freedom inertial space position coordinates (x, y, z) when the surface source bait is scattered are used as the center position of the particle placer of the particle system basic model, and the three-degree-of-freedom inertial space relative speed (Vx, Vy, Vz) between the surface source bait and the carrier platform is used as the parameter input of the wind speed disturbance.

[0013] Preferably, in step S2:

[0014] Broadband scene simulators are divided into two categories: spectral modulation type and filtering and spectral splitting type;

[0015] The spectral modulation scene simulator is composed of a broadband light source, spectral modulation, and image modulation. The dynamic surface source decoy digital image is used as the control input of the image modulation module of the spectral modulation scene simulator to generate the corresponding surface source decoy spectral radiation information. After being observed by the detector, it is compared with the measured data to optimize the spectral modulation module control parameters and calibrate the spectral distribution simulation results.

[0016] The filtering and spectroscopic scene simulator is composed of a broadband radiation source modulation module and a filtering and spectroscopic module. The dynamic surface source decoy digital image is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate wide-spectrum radiation information of the surface source decoy. After filtering and spectroscopic analysis, the radiation information of the corresponding spectrum is retained and compared with the measured data after observation by the detector. The control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

[0017] Preferably, in step S3:

[0018] There are two methods for enabling a wide-spectrum scene simulator to generate corresponding surface source decoy spectral radiation information:

[0019] For the spectral modulation type wide-band scene simulator, the dynamic surface source decoy digital image is used as the control input of the simulator's image modulation module. Based on the measured spectral data, the spectral distribution of the illumination light source of the image modulation module is controlled by the spectral modulation module, so that the simulator generates the corresponding surface source decoy spectral radiation information, which is compared with the measured data after observation by the detector.

[0020] For the filtering and spectroscopic scene simulator, the dynamic surface source decoy digital image is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate the full-spectrum radiation information of the surface source decoy. After filtering and spectroscopic analysis, the radiation information of the corresponding spectrum is retained and compared with the measured data after observation by the detector.

[0021] Preferably, in step S4:

[0022] Methods for optimizing the spectral control parameters of broadband scene simulators can be divided into two categories:

[0023] For the spectral modulation type wide-band scene simulator, the control parameters of the spectral modulation module are optimized and the spectral distribution simulation results are calibrated.

[0024] For the filtering and spectroscopic scene simulator, the control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

[0025] A wide-band surface source decoy spectral radiation characteristic modeling and simulation system provided by the present invention comprises:

[0026] Module M1: Construct a parametric model of surface source decoy particle special effects based on measured data and particle system technology, and generate dynamic surface source decoy digital images in real time through dynamic image rendering;

[0027] Module M2: drives the wide-spectrum scene simulator with the generated dynamic surface source decoy digital image to generate the surface source decoy spectral radiation information;

[0028] Module M3: enables the wide-spectrum scene simulator to generate the corresponding surface source decoy spectral radiation information, which is compared with the measured data after being observed by the detector;

[0029] Module M4: Optimize the spectral control parameters of the wide-band scene simulator and calibrate the simulation results of the spectral distribution of surface source decoys.

[0030] Preferably, in the module M1:

[0031] Analyze the measured burning energy, shape, size and movement and diffusion characteristics of surface source decoys, subdivide the parameters of surface source decoy characteristics, match the parameters with the basic model of particle system, and build a special effect model of surface source decoy particles. In the basic model of particle system, construct the particle properties, emitter properties, standard radiation pole properties, wind direction and gravity disturbance parameter characteristics, and simulate the relative intensity distribution, shape, movement and diffusion characteristics of surface source decoys;

[0032] The three-degree-of-freedom inertial space position coordinates (x, y, z) when the surface source bait is scattered are used as the center position of the particle placer of the particle system basic model, and the three-degree-of-freedom inertial space relative speed (Vx, Vy, Vz) between the surface source bait and the carrier platform is used as the parameter input of the wind speed disturbance.

[0033] Preferably, in the module M2:

[0034] Broadband scene simulators are divided into two categories: spectral modulation type and filtering and spectral splitting type;

[0035] The spectral modulation scene simulator is composed of a broadband light source, spectral modulation, and image modulation. The dynamic surface source decoy digital image is used as the control input of the image modulation module of the spectral modulation scene simulator to generate the corresponding surface source decoy spectral radiation information. After being observed by the detector, it is compared with the measured data to optimize the spectral modulation module control parameters and calibrate the spectral distribution simulation results.

[0036] The filtering and spectroscopic scene simulator is composed of a broadband radiation source modulation module and a filtering and spectroscopic module. The dynamic surface source decoy digital image is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate wide-spectrum radiation information of the surface source decoy. After filtering and spectroscopic analysis, the radiation information of the corresponding spectrum is retained and compared with the measured data after observation by the detector. The control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

[0037] Preferably, in the module M3:

[0038] For the spectral modulation type wide-band scene simulator, the dynamic surface source decoy digital image is used as the control input of the simulator's image modulation module. Based on the measured spectral data, the spectral distribution of the illumination light source of the image modulation module is controlled by the spectral modulation module, so that the simulator generates the corresponding surface source decoy spectral radiation information, which is compared with the measured data after observation by the detector.

[0039] For the filtering and spectroscopic scene simulator, the dynamic surface source decoy digital image is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate the full-spectrum radiation information of the surface source decoy. After filtering and spectroscopic analysis, the radiation information of the corresponding spectrum is retained and compared with the measured data after observation by the detector.

[0040] Preferably, in the module M4:

[0041] For the spectral modulation type wide-band scene simulator, the control parameters of the spectral modulation module are optimized and the spectral distribution simulation results are calibrated.

[0042] For the filtering and spectroscopic scene simulator, the control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] The present invention combines the dynamic special effects simulation capability of the particle system and the spectral radiation simulation capability of the wide-spectrum scene simulator to generate a dynamic surface source bait digital image in real time, drive the wide-spectrum scene simulator, realize the characterization of the dynamic change process of the surface source bait after it is scattered and the simulation of the spectral radiation characteristics, and calibrates the simulation results in combination with the measured data. The method has strong real-time performance, high spectral simulation accuracy, flexible method and strong engineering applicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0046] Figure 1 Schematic diagram of the modeling and simulation method for the spectral radiation characteristics of wide-band surface source decoys;

[0047] Figure 2 Schematic diagram for modeling special effects of surface source decoy particles and generating dynamic images;

[0048] Figure 3 This is a schematic diagram of a method for realizing special effects of surface source bait particles;

[0049] Figure 4 It is a schematic diagram of the digital image of the surface source bait shape and spatial distribution results;

[0050] Figure 5 The schematic diagram of the simulation and calibration of the spectral radiation characteristics of surface source decoys based on spectral modulation;

[0051] Figure 6 This is the schematic diagram of the simulation and calibration of the spectral radiation characteristics of surface source bait based on filtering and spectroscopy. DETAILED DESCRIPTION

[0052] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several changes and improvements can also be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0053] Embodiment 1:

[0054] The present invention proposes a modeling and simulation method for the spectral radiation characteristics of wide-band non-point source decoys, which is mainly used for dynamic scene modeling and simulation. The method mainly combines the dynamic special effects simulation capability of the particle system and the spectral radiation simulation capability of the wide-band scene simulator, constructs a parameterized model of the particle special effects of the non-point source decoy based on measured data and particle system technology, generates a digital image of the non-point source decoy in real time through dynamic image rendering, and then drives a wide-band scene simulator with a certain spectral radiation simulation capability to achieve the characterization of the dynamic change process after the non-point source decoy is thrown and the simulation of the spectral radiation characteristics, and calibrates the simulation results in combination with the measured data. Among them, the spectral simulation characteristics of different types of wide-band scene simulators are different, and a spectral modulation type / filtering spectroscopic type scene simulator can be used to achieve adjustable output spectrum.

[0055] The main features of this method are: through parametric modeling of surface source decoy particle special effects, a dynamic surface source decoy digital image is generated in real time to characterize the combustion, diffusion, annihilation and other processes of thousands of platinum sheets during the surface source decoy scattering process; the digital image is 16-bit grayscale image data, and its numerical value represents the relative spectral radiation intensity of different areas in the image. The surface source decoy digital image drives a wide-spectrum scene simulator with certain spectral radiation simulation capabilities to achieve the simulation of the spectral radiation characteristics of the surface source decoy. Different types of scene simulators have different spectral simulation characteristics, and a spectral modulation type / filtering and spectral spectroscopy type scene simulator can be used to achieve adjustable output spectrum.

[0056] According to a method for modeling and simulating the spectral radiation characteristics of a wide-band surface source decoy provided by the present invention, Figure 1-Figure 6 As shown, including:

[0057] Step S1: constructing a surface source decoy particle special effect parameterized model based on measured data and particle system technology, and generating a dynamic surface source decoy digital image in real time through dynamic image rendering;

[0058] Specifically, in step S1:

[0059] Analyze the measured burning energy, shape, size and movement and diffusion characteristics of surface source decoys, subdivide the parameters of surface source decoy characteristics, match the parameters with the basic model of particle system, and build a special effect model of surface source decoy particles. In the basic model of particle system, construct the particle properties, emitter properties, standard radiation pole properties, wind direction and gravity disturbance parameter characteristics, and simulate the relative intensity distribution, shape, movement and diffusion characteristics of surface source decoys;

[0060] The three-degree-of-freedom inertial space position coordinates (x, y, z) when the surface source bait is scattered are used as the center position of the particle placer of the particle system basic model, and the three-degree-of-freedom inertial space relative speed (Vx, Vy, Vz) between the surface source bait and the carrier platform is used as the parameter input of the wind speed disturbance.

[0061] Step S2: driving a wide-spectrum scene simulator with the generated dynamic surface source decoy digital image to generate spectral radiation information of the surface source decoy;

[0062] Specifically, in step S2:

[0063] Broadband scene simulators are divided into two categories: spectral modulation type and filtering and spectral splitting type;

[0064] The spectral modulation scene simulator is composed of a broadband light source, spectral modulation, and image modulation. The dynamic surface source decoy digital image is used as the control input of the image modulation module of the spectral modulation scene simulator to generate the corresponding surface source decoy spectral radiation information. After being observed by the detector, it is compared with the measured data to optimize the spectral modulation module control parameters and calibrate the spectral distribution simulation results.

[0065] The filtering and spectroscopic scene simulator is composed of a broadband radiation source modulation module and a filtering and spectroscopic module. The dynamic surface source decoy digital image is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate wide-spectrum radiation information of the surface source decoy. After filtering and spectroscopic analysis, the radiation information of the corresponding spectrum is retained and compared with the measured data after observation by the detector. The control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

[0066] Step S3: The wide-spectrum scene simulator generates corresponding surface source decoy spectral radiation information, which is compared with the measured data after being observed by the detector;

[0067] Specifically, in step S3:

[0068] For the spectral modulation wide-band scene simulator, the dynamic surface source decoy digital image is used as the control input of the simulator's image modulation module. Based on the measured spectral data, the spectral distribution of the illumination light source of the image modulation module is controlled by the spectral modulation module, so that the simulator generates the corresponding surface source decoy spectral radiation information, which is compared with the measured data after being observed by the detector.

[0069] For the filtering and spectroscopic scene simulator, the dynamic surface source decoy digital image is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate the full-spectrum radiation information of the surface source decoy. After filtering and spectroscopic analysis, the radiation information of the corresponding spectrum is retained and compared with the measured data after detector observation. The control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

[0070] Step S4: Optimize the spectrum control parameters of the wide-band scene simulator and calibrate the simulation results of the spectrum distribution of the surface source decoy.

[0071] Specifically, in step S4:

[0072] For the spectral modulation type wide-band scene simulator, the control parameters of the spectral modulation module are optimized and the spectral distribution simulation results are calibrated.

[0073] For the filtering and spectroscopic scene simulator, the control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

[0074] Embodiment 2:

[0075] Embodiment 2 is a preferred example of Embodiment 1, and is used to illustrate the present invention in more detail.

[0076] The present invention also provides a wide-band surface source decoy spectral radiation characteristic modeling and simulation system. The wide-band surface source decoy spectral radiation characteristic modeling and simulation system can be realized by executing the process steps of the wide-band surface source decoy spectral radiation characteristic modeling and simulation method, that is, those skilled in the art can understand the wide-band surface source decoy spectral radiation characteristic modeling and simulation method as a preferred implementation of the wide-band surface source decoy spectral radiation characteristic modeling and simulation system.

[0077] A wide-band surface source decoy spectral radiation characteristic modeling and simulation system provided by the present invention comprises:

[0078] Module M1: Construct a parametric model of surface source decoy particle special effects based on measured data and particle system technology, and generate dynamic surface source decoy digital images in real time through dynamic image rendering;

[0079] Specifically, in the module M1:

[0080] Analyze the measured burning energy, shape, size and movement and diffusion characteristics of surface source decoys, subdivide the parameters of surface source decoy characteristics, match the parameters with the basic model of particle system, and build a special effect model of surface source decoy particles. In the basic model of particle system, construct the particle properties, emitter properties, standard radiation pole properties, wind direction and gravity disturbance parameter characteristics, and simulate the relative intensity distribution, shape, movement and diffusion characteristics of surface source decoys;

[0081] The three-degree-of-freedom inertial space position coordinates (x, y, z) when the surface source bait is scattered are used as the center position of the particle placer of the particle system basic model, and the three-degree-of-freedom inertial space relative speed (Vx, Vy, Vz) between the surface source bait and the carrier platform is used as the parameter input of the wind speed disturbance.

[0082] Module M2: drives the wide-spectrum scene simulator with the generated dynamic surface source decoy digital image to generate the surface source decoy spectral radiation information;

[0083] Specifically, in the module M2:

[0084] Broadband scene simulators are divided into two categories: spectral modulation type and filtering and spectral splitting type;

[0085] The spectral modulation scene simulator is composed of a broadband light source, spectral modulation, and image modulation. The dynamic surface source decoy digital image is used as the control input of the image modulation module of the spectral modulation scene simulator to generate the corresponding surface source decoy spectral radiation information. After being observed by the detector, it is compared with the measured data to optimize the spectral modulation module control parameters and calibrate the spectral distribution simulation results.

[0086] The filtering and spectroscopic scene simulator is composed of a broadband radiation source modulation module and a filtering and spectroscopic module. The dynamic surface source decoy digital image is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate wide-spectrum radiation information of the surface source decoy. After filtering and spectroscopic analysis, the radiation information of the corresponding spectrum is retained and compared with the measured data after observation by the detector. The control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

[0087] Module M3: enables the wide-spectrum scene simulator to generate the corresponding surface source decoy spectral radiation information, which is compared with the measured data after being observed by the detector;

[0088] Specifically, in the module M3:

[0089] For the spectral modulation type wide-band scene simulator, the dynamic surface source decoy digital image is used as the control input of the simulator's image modulation module. The spectral distribution of the illumination light source of the image modulation module is controlled by the spectral modulation module based on the measured spectral data, so that the simulator generates the corresponding surface source decoy spectral radiation information. After observation by the detector, it is compared with the measured data, the control parameters of the spectral modulation module are optimized, and the spectral distribution simulation results are calibrated.

[0090] For the filtering and spectroscopic scene simulator, the dynamic surface source decoy digital image is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate the full-spectrum radiation information of the surface source decoy. After filtering and spectroscopic analysis, the radiation information of the corresponding spectrum is retained and compared with the measured data after observation by the detector.

[0091] Module M4: Optimize the spectral control parameters of the wide-band scene simulator and calibrate the simulation results of the spectral distribution of surface source decoys.

[0092] Specifically, in the module M4:

[0093] For the spectral modulation type wide-band scene simulator, the control parameters of the spectral modulation module are optimized and the spectral distribution simulation results are calibrated.

[0094] For the filtering and spectroscopic scene simulator, the control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

[0095] Embodiment 3:

[0096] Embodiment 3 is a preferred example of Embodiment 1, and is used to illustrate the present invention in more detail.

[0097] The purpose of the present invention is to propose a modeling and simulation method for the spectral radiation characteristics of wide-band surface source decoys, aiming to solve the problem of "high-fidelity, real-time" simulation of wide-band spectral radiation of surface source decoys in guided semi-physical simulation.

[0098] The principle of modeling and simulation method of spectral radiation characteristics of wide-band surface source decoy is as follows Figure 1 As shown, a parameterized model of surface source decoy particle special effects is constructed based on measured data and particle system technology, and a digital image of the surface source decoy is generated in real time through dynamic image rendering. Then, a wide-spectrum scene simulator is driven to simulate the spectral radiation characteristics of the surface source decoy, and the simulation results are calibrated with the measured data.

[0099] The present invention uses digital special effects images + spectral physical effect simulation, which is a simulation method combining software and hardware. The software part generates a dynamic surface source bait digital image, and the hardware part integrates the spectral information, ultimately realizing a surface source interference image with dynamic changes and spectral distribution.

[0100] This method combines the dynamic special effects simulation capability of the particle system and the spectral radiation simulation capability of the wide-spectrum scene simulator to achieve the characterization of the dynamic change process after the surface source bait is thrown and the simulation of the spectral radiation characteristics.

[0101] Principles of surface source bait particle special effects modeling and model parameter optimization Figure 2 As shown in the figure, based on the analysis of the three characteristics of the measured surface source decoy combustion energy, shape and size, and movement and diffusion, the surface source decoy characteristics are parameterized and matched with the basic model of the particle system to construct a surface source decoy particle special effects model. The model is embedded in the dynamic scene simulation software to generate dynamic surface source decoy images in real time, drive the scene simulator to generate physical radiation effects for the detector to observe, compare the observation results with the measured data, iteratively optimize the surface source decoy particle special effects model parameters, and obtain a surface source decoy particle special effects model with high fidelity.

[0102] Methods for achieving special effects of surface source bait particles are as follows: Figure 3As shown, in the basic model of the particle system, parameter characteristics such as particle properties, emitter properties, standard radiator properties, wind direction and gravity disturbance are constructed. Among them, particle properties include parameters such as particle shape, size distribution, transmittance distribution, mass, radius, material, reflectivity, color, etc., in order to realize the surface source bait particle (foil) characteristic model; emitter properties include parameters such as shape, emission position, emission angle, emission speed range, etc., in order to realize the simulation of the emission mode of surface source infrared bait; standard radiator includes parameters such as number of particles per frame, birth position, initial velocity, etc., in order to realize the simulation of the emission flow of surface source interference particles; wind speed and gravity disturbance include three-degree-of-freedom wind direction parameters and gravity compensation parameters, in order to simulate the motion and diffusion characteristics of surface source interference. By adjusting the above parameters through simulation calibration test, a set of particle system model parameters are obtained, which can more realistically simulate the relative intensity distribution, shape, motion and diffusion characteristics of surface source bait. The digital image of surface source bait shape and spatial distribution is realized as shown in the result. Figure 4 shown.

[0103] The optimized surface source decoy model is integrated into the dynamic scene rendering software. In order to more accurately simulate the moving trajectory of the surface source decoy in the inertial space, the three-degree-of-freedom inertial space position coordinates (x, y, z) of the surface source decoy when it is thrown are used as the center position of the particle placer of the particle system basic model, and the three-degree-of-freedom inertial space relative speed (Vx, Vy, Vz) between the surface source decoy and the carrier platform is used as the parameter input of the wind speed disturbance. After the perspective projection transformation through the rendering engine, the accurate simulation of the movement trajectory of the surface source decoy in the image is realized.

[0104] The generated dynamic surface source decoy digital image is used to drive a wide-spectrum scene simulator to generate spectral radiation information of the surface source decoy. The wide-spectrum scene simulator is mainly divided into two types: spectral modulation type and filtering and spectral splitting type.

[0105] The spectral modulation scene simulator is mainly composed of broadband light source, spectral modulation and image modulation. The simulation and calibration principle of the spectral radiation characteristics of surface source decoys based on spectral modulation is as follows: Figure 5 As shown, the dynamic surface source decoy digital image is used as the control input of the image modulation module of the spectral modulation scene simulator to generate the corresponding surface source decoy spectral radiation information, which is compared with the measured data after being observed by the detector, and the control parameters of the spectral modulation module are optimized to calibrate the spectral distribution simulation results.

[0106] The filtering and spectral scene simulator is mainly composed of two parts: broadband radiation source modulation module and filtering and spectral module. The simulation and calibration principle of the spectral radiation characteristics of surface source bait based on filtering and spectral is as follows: Figure 6As shown, the digital image of the dynamic surface source decoy is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate wide-spectrum radiation information of the surface source decoy. The radiation information of the corresponding spectrum is retained after filtering and spectroscopic analysis. After observation by the detector, it is compared with the measured data, the control parameters of the filtering and spectroscopic module are optimized, and the spectral distribution simulation results are calibrated.

[0107] Those skilled in the art know that, in addition to realizing the system and its various devices, modules, and units provided by the present invention in a purely computer-readable program code, it is entirely possible to realize the same functions in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system and its various devices, modules, and units provided by the present invention can be considered as a hardware component, and the devices, modules, and units included therein for realizing various functions can also be regarded as structures within the hardware component; the devices, modules, and units for realizing various functions can also be regarded as both software modules for realizing the method and structures within the hardware component.

[0108] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A method for modeling and simulating the spectral radiation characteristics of a wide-band surface source decoy, characterized in that: include: Step S1: constructing a surface source decoy particle special effect parameterized model based on measured data and particle system technology, and generating a dynamic surface source decoy digital image in real time through dynamic image rendering; Step S2: driving a wide-spectrum scene simulator with the generated dynamic surface source decoy digital image to generate spectral radiation information of the surface source decoy; Step S3: The wide-spectrum scene simulator generates corresponding surface source decoy spectral radiation information, which is compared with the measured data after being observed by the detector; Step S4: Optimize the spectrum control parameters of the wide-band scene simulator and calibrate the simulation results of the spectrum distribution of the surface source decoy.

2. The method for modeling and simulating the spectral radiation characteristics of wide-band surface source decoys according to claim 1, characterized in that: In step S1: Analyze the measured burning energy, shape, size and movement and diffusion characteristics of surface source decoys, subdivide the parameters of surface source decoy characteristics, match the parameters with the basic model of particle system, and build a special effect model of surface source decoy particles. In the basic model of particle system, construct the particle properties, emitter properties, standard radiation pole properties, wind direction and gravity disturbance parameter characteristics, and simulate the relative intensity distribution, shape, movement and diffusion characteristics of surface source decoys; The three-degree-of-freedom inertial space position coordinates (x, y, z) when the surface source bait is scattered are used as the center position of the particle placer of the particle system basic model, and the three-degree-of-freedom inertial space relative speed (Vx, Vy, Vz) between the surface source bait and the carrier platform is used as the parameter input of the wind speed disturbance.

3. The method for modeling and simulating the spectral radiation characteristics of wide-band surface source decoys according to claim 1, characterized in that: In step S2: Broadband scene simulators are divided into two categories: spectral modulation type and filtering and spectral splitting type; The spectral modulation scene simulator is composed of a broadband light source, spectral modulation, and image modulation. The dynamic surface source decoy digital image is used as the control input of the image modulation module of the spectral modulation scene simulator to generate the corresponding surface source decoy spectral radiation information. After being observed by the detector, it is compared with the measured data to optimize the spectral modulation module control parameters and calibrate the spectral distribution simulation results. The filtering and spectroscopic scene simulator is composed of a broadband radiation source modulation module and a filtering and spectroscopic module. The dynamic surface source decoy digital image is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate wide-spectrum radiation information of the surface source decoy. After filtering and spectroscopic analysis, the radiation information of the corresponding spectrum is retained and compared with the measured data after observation by the detector. The control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

4. The method for modeling and simulating the spectral radiation characteristics of wide-band surface source decoys according to claim 1, characterized in that: In step S3: For the spectral modulation type wide-band scene simulator, the dynamic surface source decoy digital image is used as the control input of the simulator's image modulation module. Based on the measured spectral data, the spectral distribution of the illumination light source of the image modulation module is controlled by the spectral modulation module, so that the simulator generates the corresponding surface source decoy spectral radiation information, which is compared with the measured data after being observed by the detector. For the filtering and spectroscopic scene simulator, the dynamic surface source decoy digital image is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate the full-spectrum radiation information of the surface source decoy. After filtering and spectroscopic analysis, the radiation information of the corresponding spectrum is retained and compared with the measured data after observation by the detector.

5. The method for modeling and simulating the spectral radiation characteristics of wide-band surface source decoys according to claim 1, characterized in that: In step S4: For the spectral modulation wide-band scene simulator, optimize the spectral modulation module control parameters and calibrate the spectral distribution simulation results; For the filtering and spectroscopic scene simulator, the control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

6. A wide-band surface source decoy spectral radiation characteristic modeling and simulation system, characterized in that: include: Module M1: Construct a parametric model of surface source decoy particle special effects based on measured data and particle system technology, and generate dynamic surface source decoy digital images in real time through dynamic image rendering; Module M2: drives the wide-spectrum scene simulator with the generated dynamic surface source decoy digital image to generate the spectral radiation information of the surface source decoy; Module M3: enables the wide-spectrum scene simulator to generate the corresponding surface source decoy spectral radiation information, which is compared with the measured data after being observed by the detector; Module M4: Optimize the spectral control parameters of the wide-band scene simulator and calibrate the simulation results of the spectral distribution of surface source decoys.

7. The wide-band surface source decoy spectral radiation characteristic modeling and simulation system according to claim 6 is characterized in that: In the module M1: Analyze the measured burning energy, shape, size and movement and diffusion characteristics of surface source decoys, subdivide the parameters of surface source decoy characteristics, match the parameters with the basic model of particle system, and build a special effect model of surface source decoy particles. In the basic model of particle system, construct the particle properties, emitter properties, standard radiation pole properties, wind direction and gravity disturbance parameter characteristics, and simulate the relative intensity distribution, shape, movement and diffusion characteristics of surface source decoys; The three-degree-of-freedom inertial space position coordinates (x, y, z) when the surface source bait is scattered are used as the center position of the particle placer of the particle system basic model, and the three-degree-of-freedom inertial space relative speed (Vx, Vy, Vz) between the surface source bait and the carrier platform is used as the parameter input of the wind speed disturbance.

8. The wide-band surface source decoy spectral radiation characteristic modeling and simulation system according to claim 6 is characterized in that: In the module M2: Broadband scene simulators are divided into two categories: spectral modulation type and filtering and spectral splitting type; The spectral modulation scene simulator is composed of a broadband light source, spectral modulation, and image modulation. The dynamic surface source decoy digital image is used as the control input of the image modulation module of the spectral modulation scene simulator to generate the corresponding surface source decoy spectral radiation information. After being observed by the detector, it is compared with the measured data to optimize the spectral modulation module control parameters and calibrate the spectral distribution simulation results. The filtering and spectroscopic scene simulator is composed of a broadband radiation source modulation module and a filtering and spectroscopic module. The dynamic surface source decoy digital image is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate wide-spectrum radiation information of the surface source decoy. After filtering and spectroscopic analysis, the radiation information of the corresponding spectrum is retained and compared with the measured data after observation by the detector. The control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

9. The wide-band surface source decoy spectral radiation characteristic modeling and simulation system according to claim 6, characterized in that: In the module M3: For the spectral modulation type wide-band scene simulator, the dynamic surface source decoy digital image is used as the control input of the simulator's image modulation module. Based on the measured spectral data, the spectral distribution of the illumination light source of the image modulation module is controlled by the spectral modulation module, so that the simulator generates the corresponding surface source decoy spectral radiation information. After the detector observes, it is compared with the measured data, the spectral modulation module control parameters are optimized, and the spectral distribution simulation results are calibrated. For the filtering and spectroscopic scene simulator, the dynamic surface source decoy digital image is used as the control input of the wide-spectrum radiation source modulation module of the filtering and spectroscopic scene simulator to generate the full-spectrum radiation information of the surface source decoy. After filtering and spectroscopic analysis, the radiation information of the corresponding spectrum is retained and compared with the measured data after observation by the detector.

10. The wide-band surface source decoy spectral radiation characteristic modeling and simulation system according to claim 6, characterized in that: In the module M4: For the spectral modulation wide-band scene simulator, optimize the spectral modulation module control parameters and calibrate the spectral distribution simulation results; For the filtering and spectroscopic scene simulator, the control parameters of the filtering and spectroscopic module are optimized and the spectral distribution simulation results are calibrated.

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