CN112505643A - Radar and infrared composite seeker open-loop semi-physical simulation method and system - Google Patents

Radar and infrared composite seeker open-loop semi-physical simulation method and system Download PDF

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CN112505643A
CN112505643A CN202011212279.1A CN202011212279A CN112505643A CN 112505643 A CN112505643 A CN 112505643A CN 202011212279 A CN202011212279 A CN 202011212279A CN 112505643 A CN112505643 A CN 112505643A
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data
infrared
simulation
radar
seeker
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CN112505643B (en
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靳永亮
侍伟伟
李芬芬
黄龙
桂阳
周世平
石稳
李姣
王玭茜
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General Designing Institute of Hubei Space Technology Academy
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/40Means for monitoring or calibrating
    • G01S7/4052Means for monitoring or calibrating by simulation of echoes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/80Calibration
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/86Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J2005/0077Imaging

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Aiming, Guidance, Guns With A Light Source, Armor, Camouflage, And Targets (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The application discloses a radar and infrared composite seeker open-loop semi-physical simulation method and system, and relates to the technical field of semi-physical simulation, and the method comprises the following steps: constructing a radar and infrared combined semi-physical simulation system, and inputting set simulation conditions; calling a target scene model according to simulation conditions, loading a simulation parameter configuration file and corresponding binding data, and performing semi-physical simulation on the composite seeker; acquiring output data of each link of the semi-physical simulation, and processing each output data to obtain each evaluation index data; and checking whether each index of the composite seeker is normal or not according to each evaluation index data. The radar and infrared composite seeker open-loop semi-physical simulation method and system can meet the integrated test requirements of the multi-mode composite seeker and detect the function and performance indexes of the seeker.

Description

Radar and infrared composite seeker open-loop semi-physical simulation method and system
Technical Field
The application relates to the technical field of semi-physical simulation, in particular to a radar and infrared composite seeker open-loop semi-physical simulation method and system.
Background
Currently, in order to reduce the number of tests of a seeker in an external field and reduce the test cost and risk, the function and performance of the seeker needs to be tested and evaluated under the environmental conditions of a laboratory.
In the related technology, the semi-physical simulation is performed in the simulation system due to the fact that physical objects participate, and non-physical parts adopt accurate mathematical models, so that the defects of full mathematical simulation can be avoided, various working conditions in practical application of the seeker can be simulated realistically, and the requirement of product testing coverage is met.
However, the semi-physical simulation process is mostly directed at closed-loop semi-physical simulation of a guidance control system, and in the process of developing the semi-physical simulation test, the matching performance of the guidance control system and the guidance head cannot be determined, so that the function and performance indexes of the guidance head are difficult to detect, and the requirement of integrated test of the multi-mode composite guidance head cannot be met.
Disclosure of Invention
Aiming at one of the defects in the prior art, the application aims to provide an open-loop semi-physical simulation method and system for a radar and infrared composite seeker to solve the problem that the requirement for integrated testing of a multi-mode composite seeker cannot be met in the related technology.
The application provides a radar and infrared composite seeker open-loop semi-physical simulation method, which comprises the following steps:
constructing a radar and infrared combined semi-physical simulation system, and inputting set simulation conditions;
calling a target scene model according to the simulation conditions, loading a simulation parameter configuration file and corresponding binding data, and performing semi-physical simulation on the composite seeker;
acquiring output data of each link of the semi-physical simulation, and processing each output data to obtain each evaluation index data, wherein the output data comprises simulation track data, radar echo data, seeker working parameter data, seeker measurement result data, radar imaging data, infrared image data, image matching identification state information and guidance information data;
and checking whether each index of the composite seeker is normal or not according to each evaluation index data.
In some embodiments, before the constructing the radar and infrared combined semi-physical simulation system, the method further includes:
acquiring simulated flight path data under typical working conditions, determining an interference model and interference simulation parameters of a radar and an infrared according to the simulated flight path data, an interference pattern and an interference application strategy of a typical countermeasure environment, and writing the interference model and the interference simulation parameters into a simulation parameter configuration file;
modeling a target scene to obtain a target scene model;
and manufacturing different datum drawing data based on different test items and simulation tracks, and converting each datum drawing data into binding data.
In some embodiments, acquiring simulated track data under typical conditions specifically includes:
and respectively carrying out simulation parameter calculation and conversion on the flight path data under different typical working conditions according to a seeker open-loop semi-physical simulation protocol format to generate a simulation flight path database, wherein the simulation flight path database comprises simulation flight path data under different typical working conditions.
In some embodiments, the modeling the target scene specifically includes:
obtaining terrain and landform guarantee data of a target scene, and establishing a geometric model of the target scene according to the guarantee data;
subdividing the geometric model, and carrying out atmospheric transmission and infrared radiation modeling according to infrared radiation characteristics of different materials, atmospheric transmission environment and infrared detector characteristics to obtain an infrared scene model;
and verifying and correcting the infrared scene model by using actually measured target characteristic data obtained by an external field test to obtain the target scene model.
In some embodiments, the creating different datum map data based on different test items and simulation tracks, and converting each datum map data into binding data specifically includes:
respectively making a reference diagram corresponding to each test item;
respectively screening scene matching areas matched with each simulation track and generating corresponding scene simulation parameters;
dividing the working stages of the composite seeker according to the task planning of the simulation track, and making datum map data in a segmented manner based on corresponding datum maps and scene simulation parameters;
and carrying out format conversion on the data of each reference graph to obtain binding data.
In some embodiments, after the radar and infrared combined semi-physical simulation system is constructed, the method further includes:
and calibrating the system delay of each link of the semi-physical simulation, and performing delay compensation on the semi-physical simulation according to the system delay.
The second aspect of the present application provides a radar and infrared composite seeker open-loop semi-physical simulation system, which includes:
the comprehensive tester is used for carrying out simulation calculation to obtain simulation track data and sending out first track data and second track data, wherein the simulation track data comprise the first track data and the second track data, and the first track data and the second track data are partially overlapped;
the target tracking rotary table is used for simulating the flight of the composite seeker based on the first track data;
the target simulator is used for generating radar echo data based on the second track data, generating an infrared simulation image and projecting an infrared optical signal; the target simulator stores seeker working parameter data;
the composite seeker comprises a radar seeker and an infrared seeker, wherein the radar seeker is used for receiving the radar echo data and outputting radar imaging data and measurement result data; the infrared seeker is used for receiving the infrared optical signal, completing photoelectric conversion and outputting a real-time infrared image;
the guidance information processing subsystem is used for processing the simulation track data, the radar imaging data, the measurement result data and the real-time infrared image to obtain guidance information data; the infrared image matching and identifying device is also used for obtaining infrared image data and image matching and identifying state information according to the real-time infrared image;
the analysis equipment is used for processing the simulation flight path data, the seeker working parameter data, the radar echo data, the guidance information data, the measurement result data, the radar imaging data, the infrared image data and the image matching identification state information to obtain each evaluation index data; and the composite seeker is also used for checking whether each index of the composite seeker is normal or not according to each evaluation index data.
In some embodiments, the radar seeker is disposed on the target tracking turntable, and both are disposed in a microwave darkroom, and the target simulator includes:
the target/interference simulator is used for generating radar echo data in real time based on the second track data and generating an infrared visual image in real time;
and the infrared target simulator is used for converting the infrared visual image into infrared physical radiation and projecting the infrared physical radiation into a detector visual field of the infrared seeker through an optical system.
In some embodiments, the system further comprises a video monitor, and the video monitor is used for displaying the infrared image data and the image matching identification state information sent by the guidance information processing subsystem in real time.
In some embodiments, the system further includes a data acquisition and storage device, and the data acquisition and storage device is configured to store the radar imaging data and the measurement result data and output the radar imaging data and the measurement result data to an analysis device.
The beneficial effect that technical scheme that this application provided brought includes:
according to the radar and infrared composite seeker open-loop semi-physical simulation method and system, the target scene model is called according to set simulation conditions, after the simulation parameter configuration file and corresponding binding data are loaded, semi-physical simulation can be conducted on the composite seeker through the radar and infrared composite semi-physical simulation system, output data of each link is obtained, each output data is processed to obtain each evaluation index data, whether each index of the composite seeker is normal or not can be checked according to each evaluation index data, therefore, the integration test requirements of the multi-mode composite seeker can be met, and the function and performance indexes of the seeker can be detected.
Drawings
FIG. 1 is a first flowchart of an open-loop semi-physical simulation method for a radar and infrared composite seeker in an embodiment of the application;
FIG. 2 is a second flowchart of an open-loop semi-physical simulation method for a radar and infrared composite seeker according to an embodiment of the application;
FIG. 3 is a block diagram of an infrared projection type open loop simulation system in an embodiment of the present application;
FIG. 4 is a block diagram of a seeker integrated tester according to an embodiment of the present application;
FIG. 5 is a schematic block diagram of radar echo generation in an embodiment of the present application;
FIG. 6 is a block diagram of a target/interference simulator in an embodiment of the present application;
FIG. 7 is a diagram of radar interference types in an embodiment of the present application;
FIG. 8 is a general block diagram of an implementation of radar jamming in an embodiment of the present application;
fig. 9 is a block diagram of an infrared injection seeker open-loop simulation system in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
As shown in fig. 1, an embodiment of the present application provides a radar and infrared composite seeker open-loop semi-physical simulation method, which includes the steps of:
s1, constructing a radar and infrared combined type semi-physical simulation system, and inputting set simulation conditions.
And S2, calling a target scene model according to the simulation conditions, loading a simulation parameter configuration file and corresponding binding data, and performing semi-physical simulation on the composite seeker.
And S3, acquiring output data of each link of the semi-physical simulation, and processing each output data to obtain each evaluation index data, wherein the output data comprises simulation track data, radar echo data, seeker working parameter data, seeker measurement result data, radar imaging data, infrared image data, image matching identification state information and guidance information data.
And S4, checking whether each index of the composite seeker is normal or not according to the evaluation index data.
According to the radar and infrared composite seeker open-loop semi-physical simulation method, the target scene model is called according to the input simulation conditions, the simulation parameter configuration file and the corresponding binding data are loaded, semi-physical simulation can be conducted on the composite seeker through the radar and infrared composite semi-physical simulation system, output data of all links are obtained, all the output data are processed to obtain all the evaluation index data, whether all indexes of the composite seeker are normal or not can be checked according to all the evaluation index data, therefore, the integration test requirements of the multi-mode composite seeker can be met, and the function and performance indexes of the seeker can be detected.
In this embodiment, before the step S1 of building the radar and infrared combined semi-physical simulation system, the method further includes:
firstly, acquiring simulated flight path data under typical working conditions, determining an interference model and interference simulation parameters of a radar and an infrared according to the simulated flight path data, an interference pattern and an interference application strategy of a typical countermeasure environment, and writing the interference model and the interference simulation parameters into a simulation parameter configuration file.
And then modeling the target scene to obtain a target scene model.
And finally, based on different test items and simulation tracks, making different datum map data, and converting each datum map data into binding data required by the target simulator according to a protocol format.
Further, the acquiring of the simulated flight path data under the typical working conditions specifically includes: and respectively carrying out parameter calculation and conversion on the flight path data under different typical working conditions according to a seeker open-loop semi-physical simulation protocol format to obtain simulation flight path data under different typical working conditions, generating a simulation flight path database, and acquiring the required simulation flight path data from the simulation flight path database.
The method comprises the steps of processing input flight path data of various typical working conditions, intercepting middle and end section flight path data in the flight path data and carrying out segmentation processing according to mission planning. And converting the coordinate system parameters input by control into coordinate system parameters of the seeker to work, resolving according to a task planning result, and adding necessary parameters such as scene numbers, resolution, pixel coordinates and the like. And classifying the flight path data under various flight path deviation conditions to generate a simulation flight path database, wherein corresponding simulation flight path data can be selected according to simulation input conditions in the simulation process.
In this embodiment, determining an interference model and an interference simulation parameter of a radar and an infrared according to the simulated flight path data, the interference pattern and the interference application policy of a typical countermeasure environment, and writing a simulation parameter configuration file, specifically includes:
firstly, the typical interference pattern faced by the seeker is summarized and summarized on the basis of analyzing typical cases and related data by combining with electronic countermeasure equipment information acquired in the early stage, and the interference characteristic and the interference implementation strategy of the practical application environment are analyzed.
Secondly, according to the interference characteristic index and the interference implementation strategy requirement, the radar and infrared interference type, the action interval and the working parameter used by the real-time target simulator are determined, namely the interference simulation parameter.
Then, partial interference model data calculation is completed in advance, and a data file which can be loaded on line by an interference signal generation intermediate frequency board is generated.
And finally, converting the interference simulation parameters and the online loadable data file according to a simulation protocol format and writing the converted interference simulation parameters and the online loadable data file into a simulation parameter configuration file so as to be called conveniently during simulation configuration.
Further, the modeling of the target scene specifically includes:
firstly, obtaining terrain and landform guarantee data of a target scene, and establishing a geometric model of the target scene according to the guarantee data.
The method comprises the steps of obtaining prior information of a target scene, such as radar, optical images and terrain, integrating information of a target and a background 3D structure, information of an infrared interference geometric structure and the like, and completing geometric modeling of the scene by using a three-dimensional modeling tool.
And then, carrying out region subdivision on the geometric model, and carrying out atmosphere transmission and infrared radiation modeling according to the infrared radiation characteristics of different materials, the atmosphere transmission environment and the infrared detector characteristics to obtain an infrared scene model. The visual simulation software tool can be used for carrying out regional subdivision on the geometric model, giving characteristics such as material texture or temperature and the like, and finishing infrared scene modeling.
And finally, verifying and correcting the infrared scene model by using actually-measured target characteristic data obtained by an external field test to obtain the target scene model, namely completing the pre-construction and storage of the target scene model so as to facilitate the calling of a simulation process. In this embodiment, the outfield test is a hang-off test.
In this embodiment, according to guarantee data such as digital terrain data, an optical digital orthophoto map, infrared interference characteristic data and the like, target area guarantee data and infrared interference are converted into a three-dimensional view model, i.e., a target scene model, through multi-source data integrated modeling. The method comprises the steps of adopting universal three-dimensional modeling software Creator to carry out terrain, ground object and interference geometric modeling, and simultaneously utilizing infrared detector test reference data and SE-Workbench target characteristic software to add infrared characteristics to ensure the fidelity of a model. And (3) performing view driving by adopting mature three-dimensional view simulation software Vega, rendering a real three-dimensional scene into an accurate two-dimensional plane graph at the simulation moment according to specific environmental requirements and seeker performance setting, and ensuring the accuracy from the real scene to a simulation image so as to construct a seeker semi-physical simulation view model.
Specifically, the target characteristic acquisition is realized through two modes of internal field material characteristic acquisition and external field scene characteristic acquisition. The internal field material characteristic acquisition test is mainly used for acquiring and analyzing physical characteristics, such as material quality, heat capacity, absorptivity/emissivity, geometric characteristics and the like, of a specific material in a specific spectrum band, which are closely related to imaging. The outfield scene characteristic acquisition test mainly utilizes test forms such as static state and hanging flight to acquire the radiation characteristic and the gray characteristic of a scene under a specific weather in a specific day for analyzing and processing target characteristics and rules.
The SE-Work Bench target characteristic analysis software can predict infrared scenes in a specific environment consisting of thousands of materials, but the target characteristic analysis software has the limit in the aspect of authenticity prediction. And detecting and checking the target characteristics of the concerned target in a specific spectrum band by using actually acquired test data to form more credible target characteristic data. The optical characteristics of the target are mainly combined by theoretical simulation analysis and test verification, the modeling of the optical characteristics of the target is completed by combining the airborne and target characteristic acquisition tests with simulation analysis, and then the further examination and verification are performed by the airborne test, so that the iterative correction of the model is completed.
In this embodiment, the creating different datum map data based on different test items and simulation tracks and converting each datum map data into binding data specifically includes:
first, a reference map corresponding to each test item is created.
The method comprises the following steps that different types of reference images are required to be made for different test items, when the influence of background echoes on the radar target detection performance needs to be examined, a target + scene reference image is used, and the reference image is the superposition of a background image and a target image; when specific radar indexes such as image resolution, peak value and integral sidelobe ratio need to be tested, regular geometric dot matrix graphs are placed in scene reference image data by utilizing image editing; when the system delay needs to be calibrated, the point target reference diagram is used.
And secondly, respectively screening scene matching areas matched with each simulation track and generating corresponding scene simulation parameters.
Specifically, the acquired radar, optical image and terrain data of the scene are used for performing terrain and landform analysis and simulation verification, a region suitable for matching is selected, and then the acting distance, the beam angle and the like of a radar seeker are used as constraint conditions to screen a scene matching region of a specific simulation track and generate corresponding simulation parameters.
And then, according to the mission planning of the simulation track, dividing the working stages of the composite seeker, and making datum map data in a segmented manner based on the corresponding datum map and scene simulation parameters. Namely, the working stages of the seeker are divided according to the simulated flight path, and the datum map data is made in sections.
In the radar imaging working phase, a scene reference map which can contain all planned scene matching areas is used; in the radar single-pulse working stage, a target reference image is used, only images of a target and the environment nearby the target are in the scene of the target reference image, and the rest is a completely black scene.
Optionally, when the reference map data is created, the reference map data used for simulation may be further processed by cutting, image preprocessing, or geometric figure superposition rule at a specific position according to the planning.
And finally, performing format conversion on the processed reference diagram data by using data conversion software to obtain binding data, namely the data format required by the target simulator. In the simulation parameter setting and data loading phase, reference map data is loaded into DDR3 memories of a plurality of signal processing boards of the target/disturbance simulator.
In this embodiment, after the loading of the simulation parameter configuration file and the corresponding binding data is completed, and before the simulation process is started, a status check is also required. The state check includes whether the voltage and current values of the product are normal, whether the communication is normal, whether the data loading is normal, whether the working state of the system is normal, and the like.
In this embodiment, after the radar and infrared combined semi-physical simulation system is constructed, the method further includes:
and calibrating the system delay of each link of the semi-physical simulation, and performing delay compensation on the semi-physical simulation according to the system delay, namely adjusting a simulation clock by the semi-physical simulation system according to the system delay.
Specifically, because the echo generation and transmission of the target simulator cannot be strictly real-time, both the radar seeker and the target simulator have system delay. Therefore, before the semi-physical simulation starts, the time delay of each link needs to be measured and compensated in a calculation link, so that the accuracy of the precision evaluation of the semi-physical simulation is ensured.
Optionally, the fixed delay of the pilot head is calibrated and tested by using the radar pilot head outfield delay, and the system delay of the pilot head is calculated by using the error between the pilot head range finding value and the distance true value. And (3) a point target reference diagram is assembled in a target simulator, semi-physical simulation is started, radar echoes downloaded by the seeker are received, echo data are processed, the error between the point target measurement distance and the distance true value is calculated, and the system delay between the seeker and the target simulator is calibrated.
Optionally, after the output data of each link of the semi-physical simulation is acquired, the output data can be processed and interpreted through data processing and interpreting software, so as to check the correctness of a software and hardware system and a workflow of the composite seeker under a typical track condition, and check the function and performance indexes of the composite seeker. The evaluation index data includes precision evaluation index data, image index data, matching identification index data, tracking precision index data, initial capture time index data, re-capture time index data, anti-interference index data, and the like.
The method comprises the steps of calculating a measurement value output by a seeker and an error value obtained by a calculated reference value, and calculating an error arithmetic mean value and a root mean square as precision evaluation index data, wherein the height measurement precision, the distance measurement precision, the speed measurement precision, the azimuth measurement angle and the pitching measurement angle of a composite seeker are obtained by calculating the error arithmetic mean value and the root mean square according to the selected simulation track.
Image index data: comprehensively considering the influence of interference on image quality and image indexes concerned by subsequent matching identification, adopting a method of adding a dot matrix, calculating relevant index parameters aiming at the dot matrix and averaging to carry out image quality assessment, and mainly assessing indexes such as image geometric resolution, image geometric deformation, image signal to noise ratio, image similarity and the like. A black square block with the size of M multiplied by N is cut out by taking the mark point of the image as the center, and a dot matrix is arranged in the middle of the square block. Image resolution: and selecting point targets in all directions in the layout lattice for index evaluation, respectively designating the positions of the selected point targets along the distance direction and the azimuth direction, calculating to obtain 5-10 groups of resolution results, and finally obtaining 5-10 groups of average values of the resolution. Geometric deformation of the image: selecting 4 angular points from the dot matrix, taking the centroid of a 3x3 area around the pixel where the angular points are located as an actual coordinate, and respectively calculating the geometric deformation in the distance direction and the orientation direction according to the difference between the actual coordinate and the theoretical coordinate. Signal-to-noise ratio of the image: and respectively calculating the mean values of the target and the background, and calculating the ratio of the absolute value of the difference value of the target and the background to the background variance to obtain the signal-to-noise ratio index. Image peak and integrated sidelobe ratio: finding a point target in the image, intercepting a real-time image with the size of 64 multiplied by 64 pixels around the target, performing two-dimensional interpolation, and obtaining a point target compression result after the two-dimensional interpolation by adopting a frequency domain zero padding interpolation method. The image peak side lobe ratio and the integral side lobe ratio are calculated from the two-dimensional interpolated image, and the side lobe energy is calculated by signal energy within a range of 10 times the width of 3 dB.
Matching identification index data: and adopting the matching identification probability as an index for evaluating the matching identification performance. And finishing the acquisition of imaging matching information under different target scenes, wherein the ratio of the number of correct matching identification samples to the total number of matching identification samples is the matching identification probability.
Tracking accuracy index data: and calculating the deviation between the position coordinates of the tracked target output by the seeker and the true value of the target position to obtain the tracking precision.
Primary capture time index data: and calculating the time difference between the seeker entering the searching state and the seeker outputting the target capturing mark information to obtain the initial capturing time of the seeker.
Recapture time index data: and calculating the time difference between the moment that the seeker outputs the capture losing mark and the moment that the seeker outputs the capture mark information again to obtain the recapture time of the seeker.
Anti-interference index data: and adopting the anti-interference success probability as an index for evaluating the anti-interference performance. And finishing interference environment setting and anti-interference tests of the seeker under all track conditions according to the anti-interference index requirements, wherein the ratio of the anti-interference successful sample number of the seeker to the total test sample number is the anti-interference successful probability.
As shown in fig. 2, in this embodiment, the semi-physical simulation specifically includes:
A1. converting the flight path data under the typical working condition into simulation flight path data to generate a simulation flight path database;
A2. according to the simulation flight path data, the interference pattern and the interference application strategy of a typical countermeasure environment, an interference model and interference simulation parameters of a radar and an infrared are determined, and a simulation parameter configuration file is written;
A3. modeling a target scene to obtain a target scene model;
A4. making different datum drawing data based on different test items and simulation tracks, and converting each datum drawing data into binding data;
A5. constructing a radar and infrared combined semi-physical simulation system, calibrating system delay of each link of the semi-physical simulation, and performing delay compensation;
A6. calling a target scene model according to simulation input conditions, loading a simulation parameter configuration file and corresponding binding data, and performing semi-physical simulation on the composite seeker;
A7. acquiring output data of each link of the semi-physical simulation, and processing the output data to obtain each evaluation index data; the output data comprises test data, infrared simulation images and state information thereof;
A8. and checking whether each index of the composite seeker is normal or not according to each evaluation index data.
As shown in fig. 3, an embodiment of the present application further provides a radar and infrared composite seeker open-loop semi-physical simulation system, which includes a target tracking turntable, a target simulator, a composite seeker, a guidance information processing subsystem, a comprehensive tester, and an analysis device.
The comprehensive tester is used for carrying out simulation calculation according to simulation input conditions to obtain simulation track data and sending out first track data and second track data. The simulation track data comprises the first track data and the second track data, and the first track data and the second track data are partially overlapped.
The target tracking rotary table is used for simulating the flight of the composite seeker based on the first track data;
the target simulator is used for generating radar echo data based on the second track data, namely sending out a target echo signal and a radar interference signal, generating an infrared simulation image and projecting an infrared optical signal; the target simulator stores therein seeker working parameter data. Wherein the radar echo data comprises target and interfering radar echo data. The target echo signal is the radar target signal.
The composite seeker comprises a radar seeker and an infrared seeker, wherein the radar seeker is used for receiving the radar echo data, completing height measurement, imaging and single-pulse angle measurement, and outputting radar imaging data and measurement result data; the composite seeker may also be used to store radar echo data in a data acquisition storage device. The infrared seeker is used for receiving the infrared optical signal, completing photoelectric conversion and outputting a real-time infrared image.
The guidance information processing subsystem is used for processing the simulation flight path data, the radar imaging data, the measurement result data and the real-time infrared image to obtain guidance information data and outputting the guidance information data to the comprehensive tester; the guidance information processing subsystem is also used for obtaining infrared image data and image matching identification state information according to the real-time infrared image and displaying the infrared image data and the image matching identification state information in real time through a video monitor.
The analysis device is used for acquiring simulated flight path data and guidance information data from the comprehensive tester, acquiring seeker working parameter data from the target simulator, acquiring radar echo data from the data acquisition and storage device, acquiring measurement result data, radar imaging data, infrared image data and image matching identification state information of the seeker from the guidance information processing subsystem, processing the data information to obtain evaluation index data, and checking whether each index of the composite seeker is normal or not according to the evaluation index data. In this example. The analysis device is a data processing computer.
Therefore, the system of the present embodiment may further include a data acquisition and storage device for storing the radar imaging data and the measurement result data and outputting them to the analysis device.
As shown in fig. 4, in this embodiment, the integrated tester includes an integrated main control module and an integrated interface module, where the integrated main control module is configured for a high-performance server, and mainly completes the functions of composite seeker interface and function testing, processing and sending of simulation track data, simulation flow control, and human-computer interaction. The comprehensive interface module integrates 1553B, RS422, LVDS and a reflective memory network interface, completes communication with the composite seeker, the real-time target/interference simulator, the rotary table system and the guidance information processing subsystem, and receives test data sent by the seeker. The guidance information processing subsystem adopts a Zynq7+ multi-DSP 6678 framework, multi-core collaborative parallel computing completes real-time processing of information such as angle measurement, distance measurement, height measurement and images input by the seeker, and the guidance information processing subsystem can also output guidance information to the comprehensive tester.
In this embodiment, the comprehensive tester controls the turntable control cabinet through the RS232 serial port of the main control board according to part of the flight path data of the simulation parameter configuration file, so as to control the movement of the three-axis turntable, simulate the flight attitude change, and synchronously send part of the flight path data of the simulation parameter configuration file to the target simulator through the transmission memory network interface.
And the target simulator analyzes the flight path data sent by the comprehensive tester and can selectively enter a radar guidance or radar infrared composite guidance mode according to the set simulated flight path conditions. In the radar guidance stage, according to data such as flight paths, synchronous triggering, radar working parameters and the like sent by the composite seeker and the comprehensive tester, a target simulator calculates in real time to generate a radar target and an interference echo, and the radar target and the interference echo are fed to the radar seeker through the array horn; in the radar and infrared composite guidance stage, radar target/interference echo data are fed to the composite seeker, and the vision simulation software drives and renders in real time to generate a target interference image and projects the target interference image to the infrared detector of the composite seeker.
In this embodiment, the radar seeker is disposed on the target tracking turntable, and both the radar seeker and the target tracking turntable are disposed in the microwave darkroom.
In consideration of the fact that the infrared seeker is difficult to simulate in a darkroom environment, and the infrared characteristic simulation environment is arranged in the measurement and control room, in the embodiment, projection type simulation is adopted to participate in simulation of the composite seeker.
The target simulator completes generation of various radar interference and infrared interference signals, and comprises a target/interference simulator and an infrared target simulator.
And the target/interference simulator is used for generating radar echo data in real time based on the second track data, namely sending out a target echo signal and a radar interference signal, and generating an infrared visual image in real time. The interference simulation of the radar and the target echo simulation are not output at the same position, and the radiation direction of the target/interference simulator is controlled through an area array according to the change of an included angle between a target of a flight path and the interference.
The infrared target simulator is used for converting the infrared visual image generated by the target/interference simulator into infrared physical radiation and projecting the infrared physical radiation into a detector visual field of the infrared seeker through an optical system.
The target/interference simulator is composed of a main control module, an interface module, an intermediate frequency processing module and a radio frequency processing module, and supports 2 kinds of radar wave bands, infrared targets and interference characteristic composite simulation.
The main control module is a simulation workstation, is provided with a high-performance independent display card, mainly completes simulation configuration, simulation state control and running state monitoring of a target/interference simulator, runs a three-dimensional modeling tool to establish an infrared interference model, and performs real-time rendering on a target scene and interference according to track data and interference setting through visual simulation software so as to complete target scene and interference modeling and perform real-time rendering to generate a visual image, and simultaneously provides a human-computer interaction interface.
The interface module integrates 1553B, RS422, LVDS, reflective memory network and other communication interfaces, mainly completes data communication with each simulation device, receives simulation parameters and distributes the parameters.
The intermediate frequency processing module comprises a signal processing board and an intermediate frequency board, and is mainly used for finishing real-time radar echo calculation and generating target and interference radar echo data.
The radio frequency processing module mainly comprises a control module, an intermediate frequency analog signal conditioning module, transmitter modules of two radar wave bands, receiver modules of two radar wave bands and a frequency synthesizer module, and mainly completes signal up-conversion and down-conversion processing, frequency control and power control.
As shown in fig. 5, in the present embodiment, the target echo signal generation of the target/interference simulator is based on the principle of convolution of the system function and the radar excitation. The radar works in a monopulse mode or an imaging mode, and echo signals are convolution of system functions and radar emission signals. And aiming at different radar working modes, different types of reference graphs are used to obtain different echo signals.
When the radar works in the monopulse mode, the target reference image is used, only the images of the target and the environment nearby the target are in the scene of the target reference image, and the rest is a completely black scene. The scene reference map is used when the radar is operating in an imaging mode. When the influence of background echoes on the radar target detection performance needs to be examined, a target + scene reference image is used, and the reference image is the superposition of a background image and a target image. When specific radar indexes such as image resolution, peak value and integral sidelobe ratio need to be tested, regular geometric dot matrix graphics can be placed in the scene, and image editing software is used for achieving the placement of the geometric graphics in the scene reference image data. When the system delay needs to be calibrated, the point target reference diagram is used, and the point target diagram is placed in the scene reference diagram data by using the image editing software.
The target/interference simulator generates real-time echo signals of the synthetic aperture radar or signals of targets, background clutter and the like in a single pulse radar beam irradiation area. The basic working principle is generated by loading a reference diagram, inverting a system function in real time and convolving the system function with a radar transmitting signal in real time. The system adopts a concentric circle algorithm to divide a ground scene into discrete scattering points, the points are arranged at equal intervals, and each point has a scattering coefficient and a coordinate value. The algorithm calculates the distance between each point on the ground according to the current radar position, and the precision of the distance meets the precision requirement of phase calculation. After the distances of all points are calculated, data of all points in the same range gate (concentric circles) are coherently superposed to obtain 1 line of data (namely a system function) arranged along the distance direction, and the line of data is convolved with a radar transmitting signal to obtain an echo signal of the pulse. The convolution is performed in the frequency domain to reduce the amount of computation. The algorithm superposes points in the same range gate, the distances of the points in the same range gate are not necessarily the same, and the different points are reflected in the echo phase.
As shown in fig. 6, specifically, the target/interference simulator includes 1 main control module, 8 signal processing boards, 2 intermediate frequency boards, 2 interface boards, 1 infrared signal processing board, 1 intermediate frequency analog signal conditioning module, 2 radar band 1 transmitters, 2 radar band 2 transmitters, 1 radar band 1 receiver, 1 radar band 2 receiver, 1 frequency synthesizer module, and 1 radio frequency controller. The slot positions of the board cards of the target/interference simulator are interconnected by adopting a high-speed bus, and a plurality of slot positions are reserved in the case to facilitate function expansion.
The intermediate frequency board 1 is used for completing real-time convolution, SAR scene echo or monopulse radar background clutter echo generation, intermediate frequency signal input/output and time sequence control so as to realize playback mode echo signal output. The intermediate frequency board 2 is used for generating interference signals, inputting/outputting intermediate frequency signals and controlling time sequence.
And the RS422/1553B/LVDS interface board is used for receiving real-time simulation parameters and image data and finishing parameter distribution and image output. The reflection memory interface board is used for receiving the real-time simulation parameters and completing parameter distribution. The infrared signal processing board mainly completes data caching, infrared interference parameter calculation and interference superposition of simulation image data output by the vision software and outputs an infrared image according to the parameter control and the infrared seeker time sequence; the intermediate frequency analog signal conditioning module generates a sampling clock for an intermediate frequency system, and performs power control, frequency adjustment, power synthesis and signal switching on the intermediate frequency signal. The radar band 1 receiver is used for receiving signals transmitted by the radar band 1, down-converting the signals to an intermediate frequency and outputting a digital signal processing subsystem. The radar band 2 receiver is used for receiving signals transmitted by the radar band 2, down-converting the signals to an intermediate frequency and outputting the signals to the digital signal processing subsystem. The radar band 1 transmitter is used for receiving a target and an interference intermediate frequency echo signal respectively by two transmitters and carrying out up-conversion to a radar band 1; and the transmitter of the radar band 2 receives the target and the interference intermediate frequency echo signal respectively and carries out up-conversion to the radar band 2. The frequency synthesis module is used for generating local oscillator signals required by frequency conversion. The radio frequency controller is used for controlling the work of the radio frequency subsystem.
As shown in fig. 7 and 8, in this embodiment, radar interference is mainly divided into passive interference and active interference, and radar interference generation mainly realizes an interference signal modulation function in different working modes according to flight path data and by combining with a corresponding simulation time sequence, and is used for seeker anti-interference algorithm assessment.
The system function of the passive interference is calculated in advance and is loaded and stored in DDR3 of an intermediate frequency board responsible for interference generation on line, in the operation process of a system, each PRF reads the system function from DDR3 and then convolutes the system function with an excitation signal, and the passive interference signal is generated after time delay and up-conversion. The active suppression interference has different signal generation models respectively, each model can be decomposed into different frequency control functions and phase control functions to control DDS to generate incoherent suppression interference baseband signals, and the incoherent suppression interference baseband signals are subjected to analog-to-digital conversion and then are subjected to frequency mixing by an analog mixer to reach a radio frequency band. The active deception jamming access working principle is based on a digital frequency storage technology, radar transmitting signals are received in real time, range deception, Doppler modulation speed deception and amplitude deception or suppression are achieved through a cache delay line, typical active jamming is achieved under the combined action of the three, and three parameters are generated through real-time calculation of a simulator.
The types of infrared interference are mainly smoke screen interference and infrared decoy interference. In the outfield static test of the interference characteristic of the infrared bait, infrared measurement equipment such as a thermal infrared imager, an infrared radiometer and the like is used for measuring a target scene and the interference infrared radiation characteristic, and items such as infrared radiation intensity, temperature distribution, bait infrared radiation time characteristic and the like are measured. And establishing an infrared radiation model of the infrared bait according to characteristic data and test data provided by a manufacturer. The smoke extinction model adopts a Lambert-beer law to calculate the transmittance, and the smoke diffusion adopts a simplified uniform diffusion model to represent the time characteristics of the smoke thickness and the concentration change. Using T (T) ═ T0-Te) e-ct+ Te describes the smoke particle temperature decay process, T (T) denotes the smoke particle temperature at time T, T0 denotes the initial temperature of the smoke particles, Te denotes the ambient temperature, c denotes the control coefficient of temperature decay. Each pixel in the infrared smoke screen primitive should contain temperature radiation information, emissivity information, transmittance information and the like, and the emissivity adopts a fixed value. And (3) measuring data of the smoke screen transmittance and the temperature radiation time characteristic of the external field calibration test, and performing iterative processing on the data to form a smoke screen extinction and temperature decay time characteristic model. The model is checked and iteratively revised by manufacturer-provided characteristic data in combination with development and qualification tests. The method comprises the steps of adopting equivalent black body test of an infrared seeker, measuring infrared radiation energy reaching the infrared seeker at equal intervals according to temperature, and establishing a quantitative relation curve of the radiation energy and a detector output pixel value, so that an infrared radiation quantitative model of a detector is established. The atmosphere transmission model adopts a statistical atmosphere model. Generated plurality of model feature numbersAnd binding the image in a FLASH of the infrared signal processing board according to a table, caching the input image by the FPGA, and performing real-time table look-up processing according to the interference parameters to complete infrared interference superposition.
In this embodiment, the infrared characteristic simulation of the composite seeker may be implemented by combining a target/interference simulator and an infrared target simulator to form a projection type simulation, a main control module of the target/interference simulator performs real-time rendering according to track data sent by the comprehensive tester to generate a view image, the view image is transmitted to the infrared target simulator through a video interface to be converted into infrared physical radiation, and the infrared physical radiation is projected into a detector field of the infrared seeker through an optical system, so that the infrared radiation characteristic and the motion characteristic equivalent to the actual working environment are provided, and the characteristic index of the whole infrared seeker system is checked.
In the embodiment, the positions of the infrared target simulator and the infrared detector of the infrared seeker are adjusted to enable the exit pupil of the infrared optical coupling lens group to coincide with the entrance pupil of the infrared optical system to be detected, and the exit pupil aperture covers the aperture of the entrance pupil of the infrared optical system to be detected; high and low temperature black body radiation reflected by the micro mirror array is collimated and projected out, and is perfectly coupled with the entrance pupil of the tested equipment, so that the tested equipment can observe clear infrared images which are equivalent to infinity.
Optionally, the system further comprises a video monitor, and the video monitor is used for displaying the infrared image data and the image matching identification state information sent by the guidance information processing subsystem in real time.
Optionally, the system further comprises a hard disk video recorder. The embodiment is a radar infrared composite guidance mode. In the simulation test process, the composite seeker sends data such as angle measurement, height measurement, speed measurement and images to the guidance information processing subsystem, the guidance information processing subsystem completes processing such as scene matching and target identification tracking and sends guidance information to the comprehensive tester through the RS422 interface. The comprehensive tester simultaneously receives test data downloaded by the composite seeker through the LVDS interface, the data acquisition and storage device stores radar original echo data, the hard disk video recorder acquires and stores infrared video data, and the video monitor displays simulation images output by the last guidance information processing system in real time, and results information such as overlapped display working time, identification positions, tracking cursors and the like and part of intermediate processing state information.
The simulation system in the embodiment can complete the process simulation of radar guidance and radar infrared composite guidance according to the multimode composite guidance process, support the composite simulation of radar target characteristics, radar interference characteristics, infrared target characteristics and infrared interference characteristics in the multimode composite guidance process, qualitatively and quantitatively check the functions and performance indexes of height measurement, distance measurement, speed measurement, radar imaging, monopulse, scene matching, target identification and tracking and interference resistance of the composite seeker, and has high system integration and full test coverage capability.
Optionally, as shown in fig. 9, an embodiment of the present application further provides a radar and infrared composite seeker open-loop semi-physical simulation system, which includes a target tracking turntable, a target simulator, a radar seeker, a guidance information processing subsystem, a comprehensive tester, and an analysis device.
The comprehensive tester is used for carrying out simulation calculation according to the input simulation conditions to obtain simulation track data and sending out first track data and second track data. The simulation track data comprises the first track data and the second track data, and the first track data and the second track data are partially overlapped.
The target tracking rotary table is used for simulating the flight of the composite seeker based on the first flight path data.
The target simulator is used for generating radar echo data, sending out a target echo signal and a radar interference signal and generating an infrared simulation image based on the second track data. The target simulator is also used for projecting infrared optical signals to the infrared simulation image, completing photoelectric conversion and outputting a real-time infrared image. The target simulator stores therein seeker operating parameter data.
The radar seeker is used for receiving radar echo data, completing height measurement, imaging and monopulse angle measurement, and outputting radar imaging data and measurement result data. In the embodiment, the infrared characteristic simulation environment is arranged in the measurement and control room, and the target simulator is adopted to perform injection type simulation on the infrared seeker and participate in simulation of the composite seeker.
The guidance information processing subsystem is used for processing the simulation flight path data, the radar imaging data, the measurement result data and the real-time infrared image to obtain guidance information data and outputting the guidance information data to the comprehensive tester; the guidance information processing subsystem is also used for obtaining infrared image data and image matching identification state information according to the real-time infrared image and displaying the infrared image data and the image matching identification state information in real time.
The analysis equipment is used for acquiring the simulation flight path data, the seeker working parameter data, the radar echo data, the guidance information data, the measurement result data, the radar imaging data, the infrared image data and the image matching identification state information, and processing the data to obtain each evaluation index data; and the composite seeker is also used for checking whether each index of the composite seeker is normal or not according to each evaluation index data.
The target simulator in this embodiment is a combined simulator, which is different from the target/disturbance simulator described above in that the combined simulator further includes an infrared processing module.
The main control module of the combined simulator runs visual simulation software to render in real time to generate a target interference image, the target interference image is transmitted to the infrared processing module through a high-speed bus, the infrared processing module performs data caching, infrared interference parameter calculation and interference superposition on target interference image data, and the image is directly output to the guidance information processing subsystem according to the parameter setting and the infrared seeker time sequence, so that injection simulation is completed.
Specifically, an infrared interference model is established through an infrared characteristic theory and calibration measurement, then an external field static and dynamic test is used for obtaining an infrared interference characteristic data iteration correction model, and data tables of an infrared smoke screen extinction and temperature attenuation model, an infrared decoy radiation model, an atmospheric transmission model and an infrared radiation quantification model are respectively established. And finally, the infrared processing module calculates the pixel position of interference superposition according to the initial position and the time characteristic of the infrared interference application, and calculates the pixel value of the interference superposition by looking up a table in real time according to the time characteristic change of the infrared interference, thereby simulating the dynamic change effect of the interference.
For the injection simulation mode, when smoke screen interference occurs, an infrared signal processing board of the combined simulator calculates the characteristic dynamic change of the simulated interference diffusion process according to target parameters of a main control module by adopting the preloaded initial position, diffusion coefficient, reduction coefficient, diffusion time and reduction time, and calculates the dynamic change of the interference effect in the infrared image according to a characteristic parameter change table. The method comprises the steps that a visual simulation software inputs an infrared scene image without interference, the zero-distance infrared radiation intensity of the corresponding position of the infrared scene image is obtained through reverse parameter table lookup calculation according to the infrared pixel gray value → the infrared radiation quantization model → the atmospheric transmission model → the zero-distance infrared radiation intensity, then the infrared smoke screen interference is obtained through the zero-distance infrared radiation intensity → the infrared smoke screen extinction model → the atmospheric transmission model → the infrared radiation quantization model → the scene pixel gray value, the scene pixel gray value after the smoke screen interference is superposed is obtained through forward table lookup calculation according to the sequence, and the target scene and the infrared interference are fused to simulate the smoke screen infrared interference effect.
During the interference of the infrared decoy, the scene pixel gray value superposed with the interference of the infrared decoy is obtained by sequentially looking up a table according to the sequence through the zero-distance infrared radiation intensity + the infrared decoy radiation intensity → the atmosphere transmission model → the infrared radiation quantization model → the scene pixel gray value, and the target scene and the infrared interference are fused to simulate the interference effect of the infrared decoy.
In the simulation process, the distance parameter between the radar and the target in the flight path data can be used as a threshold judgment condition, so that the radar and infrared interference type, the action interval and the working parameter, namely the interference simulation parameter, are set, and the interference simulation parameter is written into a simulation parameter configuration file.
Interference operating interval parameters: (1) an initial action distance; (2) terminating the action distance.
Parameters of corner reflector interference: (1) corner reflector interference type: fixed type and rotary type; (2) scattering cross-sectional area of corner reflector; (3) the distance of the corner reflector from the target; (4) a rotational speed; (5) wind speed in the scene.
Parameters of foil strip interference: (1) foil strip interference type: dilute, mass center; (2) the number of foil strips; (3) the launching distance of the foil strip bullet; (4) setting the height of the foil strip cloud; (5) the included angle between the foil strip and the target; (6) the speed of descent of the foil cloud; (7) an initial radius of the foil strip cloud; (8) the radius of the foil cloud increases; (9) maximum radius of the foil cloud; (10) wind speed in the scene.
Parameters of active suppression disturbances: (1) suppression of interference type: aiming type interference, blocking type interference and frequency sweeping type interference; (2) suppressing interference-to-signal ratio; (3) a modulation index; (4) modulating the noise bandwidth; (5) frequency modulation slope; (6) an amplitude modulation factor; (7) a phase modulation coefficient; (8) frequency sweeping;
parameters of active spoofing interference: (1) type of spoofing interference: distance towing, speed towing, and distance-speed combined towing; (2) spoofing interference-to-signal ratio; (3) towing speed; (4) a towing cycle; (5) a towing distance; (6) a holding time; (7) towing time; (8) and stopping dragging time.
Parameters of infrared smoke screen interference: (1) initial position of smoke screen throwing point; (2) the maximum acting radius of the smoke screen; (3) smoke screen diffusion coefficient; (4) smoke reduction factor; (5) smoke screen diffusion time; (6) smoke reduction time.
Parameters of infrared decoy interference: (1) initial position of bait throwing point; (2) maximum radius of action of the bait; (3) (ii) bait diffusion coefficient; (4) bait attenuation coefficient; (5) bait spreading time; (6) bait reduction time.
The simulation system of the embodiment is suitable for the simulation methods, can meet the integrated test requirement of the multi-mode composite seeker, detects the function and performance indexes of the seeker, and is high in test efficiency.
The present invention is not limited to the above-described embodiments, and it will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and such modifications and improvements are also considered to be within the scope of the present invention. Those not described in detail in this specification are within the skill of the art.

Claims (10)

1. An open-loop semi-physical simulation method for a radar and infrared composite seeker is characterized by comprising the following steps:
constructing a radar and infrared combined semi-physical simulation system, and inputting set simulation conditions;
calling a target scene model according to the simulation conditions, loading a simulation parameter configuration file and corresponding binding data, and performing semi-physical simulation on the composite seeker;
acquiring output data of each link of the semi-physical simulation, and processing each output data to obtain each evaluation index data, wherein the output data comprises simulation track data, radar echo data, seeker working parameter data, seeker measurement result data, radar imaging data, infrared image data, image matching identification state information and guidance information data;
and checking whether each index of the composite seeker is normal or not according to each evaluation index data.
2. The radar and infrared composite seeker open-loop semi-physical simulation method of claim 1, wherein before the radar and infrared composite semi-physical simulation system is constructed, the method further comprises:
acquiring simulated flight path data under typical working conditions, determining an interference model and interference simulation parameters of a radar and an infrared according to the simulated flight path data, an interference pattern and an interference application strategy of a typical countermeasure environment, and writing the interference model and the interference simulation parameters into a simulation parameter configuration file;
modeling a target scene to obtain a target scene model;
and manufacturing different datum drawing data based on different test items and simulation tracks, and converting each datum drawing data into binding data.
3. The radar and infrared composite seeker open-loop semi-physical simulation method according to claim 2, wherein acquiring simulation track data under typical conditions specifically comprises:
and respectively carrying out simulation parameter calculation and conversion on the flight path data under different typical working conditions according to a seeker open-loop semi-physical simulation protocol format to generate a simulation flight path database, wherein the simulation flight path database comprises simulation flight path data under different typical working conditions.
4. The radar and infrared composite seeker open-loop semi-physical simulation method of claim 2, wherein the modeling of the target scene specifically comprises:
obtaining terrain and landform guarantee data of a target scene, and establishing a geometric model of the target scene according to the guarantee data;
subdividing the geometric model, and carrying out atmospheric transmission and infrared radiation modeling according to infrared radiation characteristics of different materials, atmospheric transmission environment and infrared detector characteristics to obtain an infrared scene model;
and verifying and correcting the infrared scene model by using actually-measured target characteristic data obtained by an external field test to obtain the target scene model.
5. The radar and infrared composite seeker open-loop semi-physical simulation method according to claim 2, wherein the method for creating different datum map data based on different test items and simulation tracks and converting each datum map data into binding data specifically comprises:
respectively making a reference diagram corresponding to each test item;
respectively screening scene matching areas matched with each simulation track and generating corresponding scene simulation parameters;
dividing the working stages of the composite seeker according to the task planning of the simulation track, and making datum map data in a segmented manner based on corresponding datum maps and scene simulation parameters;
and carrying out format conversion on the data of each reference graph to obtain binding data.
6. The radar and infrared composite seeker open-loop semi-physical simulation method of claim 1, wherein after the radar and infrared composite semi-physical simulation system is constructed, the method further comprises:
and calibrating the system delay of each link of the semi-physical simulation, and performing delay compensation on the semi-physical simulation according to the system delay.
7. An open-loop semi-physical simulation system for a radar and infrared composite seeker is characterized by comprising:
the comprehensive tester is used for carrying out simulation calculation to obtain simulation track data and sending out first track data and second track data, wherein the simulation track data comprises the first track data and the second track data, and the first track data and the second track data are partially overlapped;
the target tracking rotary table is used for simulating the flight of the composite seeker based on the first track data;
the target simulator is used for generating radar echo data based on the second track data, generating an infrared simulation image and projecting an infrared optical signal; the target simulator is internally stored with seeker working parameter data;
the composite seeker comprises a radar seeker and an infrared seeker, wherein the radar seeker is used for receiving the radar echo data and outputting radar imaging data and measurement result data; the infrared seeker is used for receiving the infrared optical signal, completing photoelectric conversion and outputting a real-time infrared image;
the guidance information processing subsystem is used for processing the simulation track data, the radar imaging data, the measurement result data and the real-time infrared image to obtain guidance information data; the infrared image matching and identifying device is also used for obtaining infrared image data and image matching and identifying state information according to the real-time infrared image;
the analysis equipment is used for processing the simulation flight path data, the seeker working parameter data, the radar echo data, the guidance information data, the measurement result data, the radar imaging data, the infrared image data and the image matching identification state information to obtain each evaluation index data; and the composite seeker is also used for checking whether each index of the composite seeker is normal or not according to each evaluation index data.
8. The radar and infrared composite seeker open-loop semi-physical simulation system of claim 7, wherein the radar seeker is disposed on the target tracking turntable and both are disposed within a microwave darkroom, the target simulator comprising:
the target/interference simulator is used for generating radar echo data in real time based on the second track data and generating an infrared visual image in real time;
and the infrared target simulator is used for converting the infrared visual image into infrared physical radiation and projecting the infrared physical radiation into a detector visual field of the infrared seeker through an optical system.
9. The radar and infrared composite seeker open-loop semi-physical simulation system of claim 7, wherein: the system also comprises a video monitor, wherein the video monitor is used for displaying the infrared image data and the image matching identification state information sent by the guidance information processing subsystem in real time.
10. The radar and infrared composite seeker open-loop semi-physical simulation system of claim 7, wherein:
the system also comprises data acquisition and storage equipment, wherein the data acquisition and storage equipment is used for storing the radar imaging data and the measurement result data and outputting the radar imaging data and the measurement result data to analysis equipment.
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