CN116384148A - Meta universe modeling system of radar countermeasure system - Google Patents
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Abstract
The invention belongs to the technical field of meta space modeling, and discloses a meta space modeling system of a radar countermeasure system, which comprises: the system comprises a radar parameter acquisition module, a main control module, a parameter introduction module, a radar scene model construction module, a model rendering module, a model calibration module, a meta space matching module and a display module. According to the method, the radar countermeasure scene three-dimensional model can be accurately constructed through the radar scene model construction module; meanwhile, acquiring each radar user attribute of a target radar user of the opposite meta universe of the radar to be used through a meta universe matching module, and labeling an attribute value corresponding to each radar user attribute; and selecting the radar antigen universe with the highest adaptation degree to match with the target radar user. By applying the method provided by the invention, the radar countermeasure element universe suitable for the radar user can be matched according to the radar user attribute, and the requirements of the radar user can be met to a greater extent.
Description
Technical Field
The invention belongs to the technical field of meta space modeling, and particularly relates to a meta space modeling system of a radar countermeasure system.
Background
Radar countermeasure adopts special electronic equipment and equipment to detect and interfere with enemy radar. Radar countermeasure includes radar reconnaissance and radar interference. The method aims at acquiring tactics and technical information of the enemy radar, adopting corresponding measures to obstruct normal work of the radar and reduce the working efficiency of the radar; the radar is countered by reconnaissance. The radar anti-reconnaissance equipment is utilized, and the technical parameters of radar signals and the information of radar positions, types, deployment and the like are obtained through interception, measurement, analysis, identification and positioning of radar radiation signals of enemy radars. According to the application, radar warning, radar countermeasure information reconnaissance and radar countermeasure support reconnaissance are classified. (2) Radar interference. Namely, the active radar interference equipment and the passive interference equipment are utilized, and the normal operation of the enemy radar is destroyed or the use efficiency of the enemy radar is reduced by the methods of radiating, reflecting, scattering and absorbing electromagnetic energy. Tactically, it is classified into supporting interference and self-defense interference; according to the interference generation mechanism, the method is divided into active radar interference and passive radar interference; according to the interference action property, the method is divided into suppression radar interference and deceptive radar interference; however, the three-dimensional model of the radar countermeasure scene constructed by the meta space modeling system of the existing radar countermeasure system is inaccurate; meanwhile, the current construction scene of the radar countermeasure universe is not complete, and the radar countermeasure universe access of different kinds of people is the same interface and use scene for different devices. However, there are individual differences among radar users, so that in the prior art, individual adaptation cannot be performed for different radar users, and the requirements of different radar users cannot be met.
Through the above analysis, the problems and defects existing in the prior art are as follows:
(1) The three-dimensional model of the radar countermeasure scene constructed by the meta space modeling system of the existing radar countermeasure system is inaccurate.
(2) The current construction scene of the radar against the meta-universe is not complete, and the radar against the meta-universe access of different kinds of people is the same interface and use scene for different devices. However, there are individual differences among radar users, so that in the prior art, individual adaptation cannot be performed for different radar users, and the requirements of different radar users cannot be met.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides a meta-universe modeling system of a radar countermeasure system.
The invention is realized in that a meta space modeling system of a radar countermeasure system comprises:
the system comprises a radar parameter acquisition module, a main control module, a parameter introduction module, a radar scene model construction module, a model rendering module, a model calibration module, a meta space matching module and a display module;
the radar parameter acquisition module is connected with the main control module and used for acquiring radar countermeasure parameters;
the radar parameter acquisition module is used for acquiring the following steps:
screening radar countermeasure related test parameters by adopting a test design method;
performing test design based on important test parameters and obtaining a test design table;
developing a radar countermeasure test corresponding to the test design, analyzing test data by adopting a regression analysis method, and establishing a radar countermeasure performance prediction model;
determining parameters affecting radar countermeasure performance through a radar countermeasure performance prediction model;
the main control module is connected with the radar parameter acquisition module, the parameter import module, the meta space matching module and the display module and used for controlling the normal operation of each module;
the parameter importing module is connected with the main control module and used for importing radar countermeasure parameters into the modeling program;
the parameter importing module importing method comprises the following steps:
parameters affecting radar countermeasure performance are counted through a counting program; importing the statistical parameters affecting the radar countermeasure performance into a modeling program;
the radar scene model construction module is connected with the parameter importing module, the model rendering module and the model calibration module 6 and is used for constructing a radar countermeasure scene model through a modeling program;
the radar scene model construction module construction method comprises the following steps:
acquiring image data of a radar to be built for a plurality of angles of a countermeasure scene;
forming at least one triangular surface of the to-be-built radar countermeasure scene intersecting with the three-dimensional subspace in the three-dimensional model space based on the directed distance value corresponding to each angular point coordinate;
constructing a three-dimensional model of the radar countermeasure scene to be built based on the formed triangular surface;
the model rendering module is connected with the radar scene model construction module and is used for rendering the radar countermeasure scene model;
the model calibration module is connected with the radar scene model construction module and is used for calibrating the radar countermeasure scene model;
the meta space matching module is connected with the main control module and is used for matching the radar against the meta space;
the display module is connected with the main control module and used for displaying radar pair meta universe.
Further, the construction method of the radar scene model construction module comprises the following steps:
(1) Acquiring image data of a radar to be built for a plurality of angles of a countermeasure scene; denoising the image data; based on the image data, determining a three-dimensional model space corresponding to the radar countermeasure scene to be built; dividing the three-dimensional model space according to preset model building precision to obtain a plurality of three-dimensional subspaces; calculating a directed distance value corresponding to the angular point coordinates of the three-dimensional subspace;
(2) Forming at least one triangular surface of the to-be-built radar countermeasure scene intersecting with the three-dimensional subspace in the three-dimensional model space based on the directed distance value corresponding to each angular point coordinate; constructing a three-dimensional model of the radar countermeasure scene to be built based on the formed triangular surface;
the calculating the directional distance value corresponding to the angular point coordinates of the three-dimensional subspace comprises the following steps:
acquiring three-dimensional coordinates of the radar countermeasure scene to be built under a preset camera;
determining a focal length and a principal point of a preset camera;
calculating two-dimensional coordinates of corner points of the three-dimensional subspace in a preset camera plane according to the three-dimensional coordinates, the focal length of the preset camera and the principal point;
and determining the directional distance value of the angular point coordinates of the three-dimensional subspace in the preset camera plane according to the two-dimensional coordinates and the directional distance values of all pixels of the preset camera plane.
Further, the determining, according to the two-dimensional coordinates and the directional distance values of all pixels of the preset camera plane, the directional distance value corresponding to the corner coordinates of the three-dimensional subspace includes:
obtaining plane directional distance values of corner coordinates of the three-dimensional subspace in each preset camera plane according to the two-dimensional coordinates and the directional distance values of all pixels of the preset camera plane;
and determining the directional distance value corresponding to the angular point coordinate of the three-dimensional subspace based on the plane directional distance value.
Further, the obtaining the three-dimensional coordinates of the to-be-built radar countermeasure scene under a preset camera includes:
determining a reference three-dimensional coordinate corresponding to the corner point of the three-dimensional subspace;
and transposing the reference three-dimensional coordinates to obtain the three-dimensional coordinates of the corner points of the three-dimensional subspace under a preset camera.
Further, the dividing the three-dimensional model space according to the preset model building precision to obtain a plurality of three-dimensional subspaces includes:
acquiring preset model building precision;
and dividing the three-dimensional model space to obtain a number of three-dimensional subspaces corresponding to the model building accuracy.
Further, the forming at least one triangular surface of the to-be-built radar countermeasure scene intersecting with the three-dimensional subspace in the three-dimensional model space based on the directional distance values corresponding to the angular point coordinates includes:
based on the directed distance value corresponding to each angular point coordinate, determining the intersecting condition of each three-dimensional subspace and the to-be-built radar countermeasure scene;
and forming at least one triangular surface where the to-be-built radar countermeasure scene is intersected with the three-dimensional subspace in the three-dimensional model space according to the condition that each three-dimensional subspace is intersected with the to-be-built radar countermeasure scene.
Further, the meta space matching module matching method is as follows:
1) Acquiring each radar user attribute of a target radar user of a target radar opposite meta-universe to be used; labeling attribute values corresponding to the radar user attributes; constructing an attribute matrix corresponding to the target radar user based on each radar user attribute of the target radar user and an attribute value corresponding to each radar user attribute;
2) Inputting an attribute matrix corresponding to the target radar user into a preset qualitative mapping model, and analyzing the adaptation degree between the target radar user and each preset radar countermeasure element universe by applying a preset conversion degree function in the qualitative mapping model based on the attribute matrix; and selecting the radar antigen universe with the highest adaptation degree to match with the target radar user.
Further, the labeling the attribute value corresponding to each radar user attribute includes:
acquiring a preset attribute list and attribute categories to which each radar user attribute of the target radar user belongs;
searching a labeling rule sub-list corresponding to each attribute category in the attribute list;
and labeling the attribute value corresponding to each radar user attribute based on the attribute category corresponding to each radar user attribute and the labeling rule sub-list.
Further, the constructing an attribute matrix corresponding to the target radar user based on each radar user attribute of the target radar user and an attribute value corresponding to each radar user attribute includes:
establishing an initial attribute matrix;
constructing a matrix dimension between each radar user attribute and the attribute value corresponding to the radar user attribute based on the attribute value corresponding to each radar user attribute;
and inputting the matrix dimension between each radar user attribute and the attribute value corresponding to the radar user attribute into the initial attribute matrix to obtain the attribute matrix corresponding to the target radar user.
Further, the analyzing, by using a transformation degree function preset in the qualitative mapping model, the fitness between the target radar user and each preset radar pair meta-universe based on the attribute matrix includes:
acquiring dimension values of all radar user attributes of the target radar user in the attribute matrix and reference values required by each radar opposite meta universe when the standards are matched with an object;
determining an initial fitness between the target radar user and each of the radar pair meta-universe based on each of the dimension values and each of the reference values;
optimizing each initial adaptation degree by applying a transformation degree function preset in the qualitative mapping model to obtain a final adaptation degree between the target radar user and each preset radar antigen universe;
screening radar countermeasure universe with the adaptation degree reaching a preset adaptation threshold as target radar countermeasure universe;
matching the target radar user with each of the target radar pair meta-universe.
In combination with the technical scheme and the technical problems to be solved, the technical scheme to be protected has the following advantages and positive effects:
firstly, the three-dimensional model of the radar countermeasure scene can be accurately constructed through the radar scene model construction module; meanwhile, acquiring each radar user attribute of a target radar user of the opposite meta universe of the radar to be used through a meta universe matching module, and labeling an attribute value corresponding to each radar user attribute; constructing an attribute matrix corresponding to the target radar user based on each radar user attribute of the target radar user and an attribute value corresponding to each radar user attribute; inputting an attribute matrix corresponding to the target radar user into a preset qualitative mapping model, and analyzing the adaptation degree between the target radar user and each preset radar countermeasure element universe by applying a preset conversion degree function in the qualitative mapping model based on the attribute matrix; and selecting the radar antigen universe with the highest adaptation degree to match with the target radar user. By applying the method provided by the invention, the radar countermeasure element universe suitable for the radar user can be matched according to the radar user attribute, and the requirements of the radar user can be met to a greater extent.
Secondly, the radar countermeasure scene three-dimensional model can be accurately constructed through the radar scene model construction module; meanwhile, acquiring each radar user attribute of a target radar user of the opposite meta universe of the radar to be used through a meta universe matching module, and labeling an attribute value corresponding to each radar user attribute; constructing an attribute matrix corresponding to the target radar user based on each radar user attribute of the target radar user and an attribute value corresponding to each radar user attribute; inputting an attribute matrix corresponding to the target radar user into a preset qualitative mapping model, and analyzing the adaptation degree between the target radar user and each preset radar countermeasure element universe by applying a preset conversion degree function in the qualitative mapping model based on the attribute matrix; and selecting the radar antigen universe with the highest adaptation degree to match with the target radar user. By applying the method provided by the invention, the radar countermeasure element universe suitable for the radar user can be matched according to the radar user attribute, and the requirements of the radar user can be met to a greater extent.
Drawings
Fig. 1 is a block diagram of a meta-universe modeling system of a radar countermeasure system provided by an embodiment of the present invention.
Fig. 2 is a flowchart of a method for constructing a radar scene model constructing module according to an embodiment of the present invention.
Fig. 3 is a flowchart of a meta space matching module matching method provided by an embodiment of the present invention.
In the figure: 1. a radar parameter acquisition module; 2. a main control module; 3. a parameter importing module; 4. the radar scene model building module; 5. a model rendering module; 6. a model calibration module; 7. a meta space matching module; 8. and a display module.
Detailed Description
The present invention will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, a meta space modeling system of a radar countermeasure system provided by an embodiment of the present invention includes: the system comprises a radar parameter acquisition module 1, a main control module 2, a parameter introduction module 3, a radar scene model construction module 4, a model rendering module 5, a model calibration module 6, a meta space matching module 7 and a display module 8.
The radar parameter acquisition module 1 is connected with the main control module 2 and is used for acquiring radar countermeasure parameters;
the radar parameter acquisition module is used for acquiring the following steps:
screening radar countermeasure related test parameters by adopting a test design method;
performing test design based on important test parameters and obtaining a test design table;
developing a radar countermeasure test corresponding to the test design, analyzing test data by adopting a regression analysis method, and establishing a radar countermeasure performance prediction model;
determining parameters affecting radar countermeasure performance through a radar countermeasure performance prediction model;
the main control module 2 is connected with the radar parameter acquisition module 1, the parameter import module 3, the meta space matching module 7 and the display module 8 and is used for controlling the normal operation of each module;
the parameter importing module 3 is connected with the main control module 2 and is used for importing radar countermeasure parameters into a modeling program;
the parameter importing module importing method comprises the following steps:
parameters affecting radar countermeasure performance are counted through a counting program; importing the statistical parameters affecting the radar countermeasure performance into a modeling program;
the radar scene model construction module 4 is connected with the parameter importing module 3, the model rendering module 5 and the model calibration module 6 and is used for constructing a radar countermeasure scene model through a modeling program;
the radar scene model construction module construction method comprises the following steps:
acquiring image data of a radar to be built for a plurality of angles of a countermeasure scene;
forming at least one triangular surface of the to-be-built radar countermeasure scene intersecting with the three-dimensional subspace in the three-dimensional model space based on the directed distance value corresponding to each angular point coordinate;
constructing a three-dimensional model of the radar countermeasure scene to be built based on the formed triangular surface;
the model rendering module 5 is connected with the radar scene model construction module 4 and is used for rendering the radar countermeasure scene model;
the model calibration module 6 is connected with the radar scene model construction module 4 and is used for calibrating the radar countermeasure scene model;
the meta space matching module 7 is connected with the main control module 2 and is used for matching the radar against the meta space;
and the display module 8 is connected with the main control module 2 and is used for displaying radar anti-meta universe.
As shown in fig. 2, the method for constructing the radar scene model provided by the invention comprises the following steps:
s101, acquiring image data of a plurality of angles of a to-be-built radar countermeasure scene; denoising the image data; based on the image data, determining a three-dimensional model space corresponding to the radar countermeasure scene to be built; dividing the three-dimensional model space according to preset model building precision to obtain a plurality of three-dimensional subspaces; calculating a directed distance value corresponding to the angular point coordinates of the three-dimensional subspace;
s102, forming at least one triangular surface of the to-be-built radar countermeasure scene intersecting with the three-dimensional subspace in the three-dimensional model space based on the directed distance value corresponding to each angular point coordinate; constructing a three-dimensional model of the radar countermeasure scene to be built based on the formed triangular surface;
the calculating the directional distance value corresponding to the angular point coordinates of the three-dimensional subspace comprises the following steps:
acquiring three-dimensional coordinates of the radar countermeasure scene to be built under a preset camera;
determining a focal length and a principal point of a preset camera;
calculating two-dimensional coordinates of corner points of the three-dimensional subspace in a preset camera plane according to the three-dimensional coordinates, the focal length of the preset camera and the principal point;
and determining the directional distance value of the angular point coordinates of the three-dimensional subspace in the preset camera plane according to the two-dimensional coordinates and the directional distance values of all pixels of the preset camera plane.
The method for determining the directed distance value corresponding to the angular point coordinate of the three-dimensional subspace according to the two-dimensional coordinate and the directed distance value of all pixels of the preset camera plane comprises the following steps:
obtaining plane directional distance values of corner coordinates of the three-dimensional subspace in each preset camera plane according to the two-dimensional coordinates and the directional distance values of all pixels of the preset camera plane;
and determining the directional distance value corresponding to the angular point coordinate of the three-dimensional subspace based on the plane directional distance value.
The method for acquiring the three-dimensional coordinates of the radar countermeasure scene to be built under the preset camera comprises the following steps:
determining a reference three-dimensional coordinate corresponding to the corner point of the three-dimensional subspace;
and transposing the reference three-dimensional coordinates to obtain the three-dimensional coordinates of the corner points of the three-dimensional subspace under a preset camera.
The invention provides a method for dividing the three-dimensional model space according to the preset model building precision to obtain a plurality of three-dimensional subspaces, comprising the following steps:
acquiring preset model building precision;
and dividing the three-dimensional model space to obtain a number of three-dimensional subspaces corresponding to the model building accuracy.
The invention provides a method for forming at least one triangular surface of the to-be-built radar countermeasure scene intersecting with the three-dimensional subspace in the three-dimensional model space based on the directed distance value corresponding to each angular point coordinate, which comprises the following steps:
based on the directed distance value corresponding to each angular point coordinate, determining the intersecting condition of each three-dimensional subspace and the to-be-built radar countermeasure scene;
and forming at least one triangular surface where the to-be-built radar countermeasure scene is intersected with the three-dimensional subspace in the three-dimensional model space according to the condition that each three-dimensional subspace is intersected with the to-be-built radar countermeasure scene.
As shown in fig. 3, the meta space matching module matching method provided by the invention is as follows:
s201, acquiring each radar user attribute of a target radar user of a target radar opposite universe to be used; labeling attribute values corresponding to the radar user attributes; constructing an attribute matrix corresponding to the target radar user based on each radar user attribute of the target radar user and an attribute value corresponding to each radar user attribute;
s202, inputting an attribute matrix corresponding to the target radar user into a preset qualitative mapping model, and analyzing the adaptation degree between the target radar user and each preset radar countermeasure element universe by applying a preset conversion degree function in the qualitative mapping model based on the attribute matrix; and selecting the radar antigen universe with the highest adaptation degree to match with the target radar user.
The labeling of the attribute value corresponding to each radar user attribute provided by the invention comprises the following steps:
acquiring a preset attribute list and attribute categories to which each radar user attribute of the target radar user belongs;
searching a labeling rule sub-list corresponding to each attribute category in the attribute list;
and labeling the attribute value corresponding to each radar user attribute based on the attribute category corresponding to each radar user attribute and the labeling rule sub-list.
The invention provides a method for constructing an attribute matrix corresponding to a target radar user based on each radar user attribute of the target radar user and an attribute value corresponding to each radar user attribute, comprising the following steps:
establishing an initial attribute matrix;
constructing a matrix dimension between each radar user attribute and the attribute value corresponding to the radar user attribute based on the attribute value corresponding to each radar user attribute;
and inputting the matrix dimension between each radar user attribute and the attribute value corresponding to the radar user attribute into the initial attribute matrix to obtain the attribute matrix corresponding to the target radar user.
The method for analyzing the fitness between the target radar user and each preset radar pair meta-universe by applying the preset conversion degree function in the qualitative mapping model based on the attribute matrix comprises the following steps:
acquiring dimension values of all radar user attributes of the target radar user in the attribute matrix and reference values required by each radar opposite meta universe when the standards are matched with an object;
determining an initial fitness between the target radar user and each of the radar pair meta-universe based on each of the dimension values and each of the reference values;
optimizing each initial adaptation degree by applying a transformation degree function preset in the qualitative mapping model to obtain a final adaptation degree between the target radar user and each preset radar antigen universe;
screening radar countermeasure universe with the adaptation degree reaching a preset adaptation threshold as target radar countermeasure universe;
matching the target radar user with each of the target radar pair meta-universe.
When the invention works, firstly, radar countermeasure parameters are collected through a radar parameter collecting module 1; secondly, the main control module 2 leads radar countermeasure parameters into a modeling program through the parameter leading-in module 3; constructing a radar countermeasure scene model by using a modeling program through a radar scene model construction module 4; rendering the radar countermeasure scene model through a model rendering module 5; calibrating the radar countermeasure scene model through a model calibration module 6; then, matching the radar against the meta universe through a meta universe matching module 7; finally, the radar countermeasure universe is displayed by the display module 8.
It should be noted that the embodiments of the present invention can be realized in hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or special purpose design hardware. Those of ordinary skill in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such as provided on a carrier medium such as a magnetic disk, CD or DVD-ROM, a programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The device of the present invention and its modules may be implemented by hardware circuitry, such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., as well as software executed by various types of processors, or by a combination of the above hardware circuitry and software, such as firmware.
According to the method, the radar countermeasure scene three-dimensional model can be accurately constructed through the radar scene model construction module; meanwhile, acquiring each radar user attribute of a target radar user of the opposite meta universe of the radar to be used through a meta universe matching module, and labeling an attribute value corresponding to each radar user attribute; constructing an attribute matrix corresponding to the target radar user based on each radar user attribute of the target radar user and an attribute value corresponding to each radar user attribute; inputting an attribute matrix corresponding to the target radar user into a preset qualitative mapping model, and analyzing the adaptation degree between the target radar user and each preset radar countermeasure element universe by applying a preset conversion degree function in the qualitative mapping model based on the attribute matrix; and selecting the radar antigen universe with the highest adaptation degree to match with the target radar user. By applying the method provided by the invention, the radar countermeasure element universe suitable for the radar user can be matched according to the radar user attribute, and the requirements of the radar user can be met to a greater extent.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the invention is not limited thereto, but any modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present invention will be apparent to those skilled in the art within the scope of the present invention.
Claims (10)
1. A meta space modeling system of a radar countermeasure system, the meta space modeling system of the radar countermeasure system comprising:
the system comprises a radar parameter acquisition module, a main control module, a parameter introduction module, a radar scene model construction module, a model rendering module, a model calibration module, a meta space matching module and a display module;
the radar parameter acquisition module is connected with the main control module and used for acquiring radar countermeasure parameters;
the radar parameter acquisition module is used for acquiring the following steps:
screening radar countermeasure related test parameters by adopting a test design method;
performing test design based on important test parameters and obtaining a test design table;
developing a radar countermeasure test corresponding to the test design, analyzing test data by adopting a regression analysis method, and establishing a radar countermeasure performance prediction model;
determining parameters affecting radar countermeasure performance through a radar countermeasure performance prediction model;
the main control module is connected with the radar parameter acquisition module, the parameter import module, the meta space matching module and the display module and used for controlling the normal operation of each module;
the parameter importing module is connected with the main control module and used for importing radar countermeasure parameters into the modeling program;
the parameter importing module importing method comprises the following steps:
parameters affecting radar countermeasure performance are counted through a counting program; importing the statistical parameters affecting the radar countermeasure performance into a modeling program;
the radar scene model construction module is connected with the parameter importing module, the model rendering module and the model calibration module 6 and is used for constructing a radar countermeasure scene model through a modeling program;
the radar scene model construction module construction method comprises the following steps:
acquiring image data of a radar to be built for a plurality of angles of a countermeasure scene;
forming at least one triangular surface of the to-be-built radar countermeasure scene intersecting with the three-dimensional subspace in the three-dimensional model space based on the directed distance value corresponding to each angular point coordinate;
constructing a three-dimensional model of the radar countermeasure scene to be built based on the formed triangular surface;
the model rendering module is connected with the radar scene model construction module and is used for rendering the radar countermeasure scene model;
the model calibration module is connected with the radar scene model construction module and is used for calibrating the radar countermeasure scene model;
the meta space matching module is connected with the main control module and is used for matching the radar against the meta space;
the display module is connected with the main control module and used for displaying radar pair meta universe.
2. The meta space modeling system of a radar countermeasure system of claim 1, wherein the radar scene model construction module construction method is as follows:
(1) Acquiring image data of a radar to be built for a plurality of angles of a countermeasure scene; denoising the image data; based on the image data, determining a three-dimensional model space corresponding to the radar countermeasure scene to be built; dividing the three-dimensional model space according to preset model building precision to obtain a plurality of three-dimensional subspaces; calculating a directed distance value corresponding to the angular point coordinates of the three-dimensional subspace;
(2) Forming at least one triangular surface of the to-be-built radar countermeasure scene intersecting with the three-dimensional subspace in the three-dimensional model space based on the directed distance value corresponding to each angular point coordinate; constructing a three-dimensional model of the radar countermeasure scene to be built based on the formed triangular surface;
the calculating the directional distance value corresponding to the angular point coordinates of the three-dimensional subspace comprises the following steps:
acquiring three-dimensional coordinates of the radar countermeasure scene to be built under a preset camera;
determining a focal length and a principal point of a preset camera;
calculating two-dimensional coordinates of corner points of the three-dimensional subspace in a preset camera plane according to the three-dimensional coordinates, the focal length of the preset camera and the principal point;
and determining the directional distance value of the angular point coordinates of the three-dimensional subspace in the preset camera plane according to the two-dimensional coordinates and the directional distance values of all pixels of the preset camera plane.
3. The meta space modeling system of the radar countermeasure system of claim 2, wherein the determining the directional distance value corresponding to the corner coordinates of the three-dimensional subspace according to the two-dimensional coordinates and the directional distance values of all pixels of the preset camera plane includes:
obtaining plane directional distance values of corner coordinates of the three-dimensional subspace in each preset camera plane according to the two-dimensional coordinates and the directional distance values of all pixels of the preset camera plane;
and determining the directional distance value corresponding to the angular point coordinate of the three-dimensional subspace based on the plane directional distance value.
4. The meta space modeling system of a radar countermeasure system of claim 2, wherein the acquiring three-dimensional coordinates of the radar countermeasure scene under a preset camera includes:
determining a reference three-dimensional coordinate corresponding to the corner point of the three-dimensional subspace;
and transposing the reference three-dimensional coordinates to obtain the three-dimensional coordinates of the corner points of the three-dimensional subspace under a preset camera.
5. The meta space modeling system of the radar countermeasure system according to claim 2, wherein the dividing the three-dimensional model space according to a preset model construction accuracy to obtain a plurality of three-dimensional subspaces includes:
acquiring preset model building precision;
and dividing the three-dimensional model space to obtain a number of three-dimensional subspaces corresponding to the model building accuracy.
6. The meta space modeling system of a radar countermeasure system as claimed in claim 2, wherein the forming at least one triangular surface of the to-be-built radar countermeasure scene intersecting the three-dimensional subspace in the three-dimensional model space based on the directional distance values corresponding to the respective corner coordinates includes:
based on the directed distance value corresponding to each angular point coordinate, determining the intersecting condition of each three-dimensional subspace and the to-be-built radar countermeasure scene;
and forming at least one triangular surface where the to-be-built radar countermeasure scene is intersected with the three-dimensional subspace in the three-dimensional model space according to the condition that each three-dimensional subspace is intersected with the to-be-built radar countermeasure scene.
7. The meta-universe modeling system of a radar countermeasure system of claim 1, wherein the meta-universe matching module matching method is as follows:
1) Acquiring each radar user attribute of a target radar user of a target radar opposite meta-universe to be used; labeling attribute values corresponding to the radar user attributes; constructing an attribute matrix corresponding to the target radar user based on each radar user attribute of the target radar user and an attribute value corresponding to each radar user attribute;
2) Inputting an attribute matrix corresponding to the target radar user into a preset qualitative mapping model, and analyzing the adaptation degree between the target radar user and each preset radar countermeasure element universe by applying a preset conversion degree function in the qualitative mapping model based on the attribute matrix; and selecting the radar antigen universe with the highest adaptation degree to match with the target radar user.
8. The meta-universe modeling system of a radar countermeasure system of claim 7, wherein the labeling attribute values corresponding to each of the radar user attributes includes:
acquiring a preset attribute list and attribute categories to which each radar user attribute of the target radar user belongs;
searching a labeling rule sub-list corresponding to each attribute category in the attribute list;
and labeling the attribute value corresponding to each radar user attribute based on the attribute category corresponding to each radar user attribute and the labeling rule sub-list.
9. The meta-universe modeling system of a radar countermeasure system of claim 7, wherein the constructing the attribute matrix corresponding to the target radar user based on the respective radar user attributes of the target radar user and the attribute values corresponding to each of the radar user attributes includes:
establishing an initial attribute matrix;
constructing a matrix dimension between each radar user attribute and the attribute value corresponding to the radar user attribute based on the attribute value corresponding to each radar user attribute;
and inputting the matrix dimension between each radar user attribute and the attribute value corresponding to the radar user attribute into the initial attribute matrix to obtain the attribute matrix corresponding to the target radar user.
10. The meta-universe modeling system of a radar countermeasure system of claim 7, wherein the applying a pre-set conversion degree function in the qualitative mapping model to analyze a degree of fit between the target radar user and a pre-set respective radar countermeasure meta-universe based on the attribute matrix includes:
acquiring dimension values of all radar user attributes of the target radar user in the attribute matrix and reference values required by each radar opposite meta universe when the standards are matched with an object;
determining an initial fitness between the target radar user and each of the radar pair meta-universe based on each of the dimension values and each of the reference values;
optimizing each initial adaptation degree by applying a transformation degree function preset in the qualitative mapping model to obtain a final adaptation degree between the target radar user and each preset radar antigen universe;
screening radar countermeasure universe with the adaptation degree reaching a preset adaptation threshold as target radar countermeasure universe;
matching the target radar user with each of the target radar pair meta-universe.
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| CN117141046B (en) * | 2023-10-30 | 2023-12-26 | 江苏爱箔乐铝箔制品有限公司 | Safety monitoring method and system of aluminum foil cutlery box punch forming machine |
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