CN111400866A - Target RCS characteristic modeling method and system suitable for system simulation - Google Patents

Target RCS characteristic modeling method and system suitable for system simulation Download PDF

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CN111400866A
CN111400866A CN202010099787.7A CN202010099787A CN111400866A CN 111400866 A CN111400866 A CN 111400866A CN 202010099787 A CN202010099787 A CN 202010099787A CN 111400866 A CN111400866 A CN 111400866A
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target rcs
rcs
characteristic
modeling
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CN111400866B (en
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余海鸣
刘博�
陈伟
张明恩
赵会娟
何舒
陆志沣
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Shanghai Institute of Electromechanical Engineering
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Abstract

The invention provides a target RCS characteristic modeling method and a target RCS characteristic modeling system suitable for system simulation, which comprise the following steps: step 1: constructing a base class model according to the characteristics of the abstract target RCS; step 2: constructing each target RCS characteristic subclass according to the base class model; and step 3: realizing data storage of each target RCS characteristic subclass; and 4, step 4: and realizing the calling interface class of the characteristic subclasses of each target RCS. The method is used for modeling target RCS characteristic data obtained by utilizing actual measurement, a target range test, an internal field test, theoretical calculation and the like; the method solves the problem that the same-type multi-instance target needs to access the RCS characteristic data of the complete target in system simulation; the invention provides convenience for system simulation target expansion.

Description

Target RCS characteristic modeling method and system suitable for system simulation
Technical Field
The invention relates to the technical field of system simulation modeling, in particular to a target RCS characteristic modeling method and a target RCS characteristic modeling system suitable for system simulation.
Background
The target RCS characteristic modeling technology is a key technology in system simulation, and a target RCS characteristic model is constructed by using target RCS characteristic data to provide target RCS characteristics for a detector in the system simulation.
The system simulation has various targets, different equipment models are continuously added to adapt to different scenes, and the targets need to be configured with corresponding target RCS characteristic models; and with the needs of equipment development and demonstration, new targets are continuously added into different simulation scenes, and the new equipment also needs to construct corresponding target characteristic models. Therefore, the extensibility requirement of the target property model is rigid, and the extensibility and reusability of the simulation model need to be fully considered in the design. Although a plurality of models need to be expanded, the target characteristic models are different from the original data, and the working modes of reading, querying and the like are basically consistent. The strategy mode of the design mode is characterized in that a group of algorithms are defined, each algorithm is packaged and can be exchanged, the algorithms are changed into a data definition group during simulation modeling of the target RCS characteristics, characteristic data of each target are packaged, switching is performed according to the targets during reading and querying, only one class needs to be defined for a new target during expansion to package own data, and a selection item is added to a calling interface class of the target RCS without modifying other parts of the target RCS characteristic model.
The method comprises the steps of simulating a system by using a plurality of radar systems, wherein the radar systems are large in quantity and variety, working frequency bands cover P, L, S, X, K and the like, electromagnetic wave polarization modes comprise HH and VV and the like, 9X2 is equal to 18 RCS data files when 9 typical frequency point values are extracted in the coverage range of the radar working frequency bands, each target comprises a target characteristic component, and each target characteristic component can access the complete RCS data of the target.
Patent document CN109061586A (application number: 201810876295.7) discloses a target micro-motion feature modeling method based on a dynamic RCS model, and belongs to the technical field of radar target identification. The method mainly comprises the steps of firstly establishing an electromagnetic simulation model of the aerial target micro-motion component; secondly, giving waveform parameters required for electromagnetic scattering modeling, and calculating an RCS model of the target micro-motion component under a corresponding frequency band and a pitch angle according to the waveform and the target parameters; and finally, simulating the rotation of the target through the change of the irradiation angle of the radar sight line to obtain a real-time echo signal of the target, and extracting the micro-motion characteristic of the target according to the real-time echo signal.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a target RCS characteristic modeling method and a target RCS characteristic modeling system suitable for system simulation.
The target RCS characteristic modeling method suitable for system simulation provided by the invention comprises the following steps:
step 1: constructing a base class model according to the characteristics of the abstract target RCS;
step 2: constructing each target RCS characteristic subclass according to the base class model;
and step 3: realizing data storage of each target RCS characteristic subclass;
and 4, step 4: and realizing the calling interface class of the characteristic subclasses of each target RCS.
Preferably, the step 1 comprises: and reading, inquiring and interpolating the abstracted target RCS characteristics and constructing a base class model.
Preferably, the step 2 includes: and applying the strategy mode to inherit the base class model so as to construct each target RCS characteristic subclass.
Preferably, the step 3 comprises: and (4) realizing the storage of RCS data by each target RCS characteristic subclass by using a singleton mode.
The target RCS characteristic modeling system suitable for system simulation provided by the invention comprises:
module M1: constructing a base class model according to the characteristics of the abstract target RCS;
module M2: constructing each target RCS characteristic subclass according to the base class model;
module M3: realizing data storage of each target RCS characteristic subclass;
module M4: and realizing the calling interface class of the characteristic subclasses of each target RCS.
Preferably, said module M1 comprises: and reading, inquiring and interpolating the abstracted target RCS characteristics and constructing a base class model.
Preferably, said module M2 comprises: and applying the strategy mode to inherit the base class model so as to construct each target RCS characteristic subclass.
Preferably, said module M3 comprises: and (4) realizing the storage of RCS data by each target RCS characteristic subclass by using a singleton mode.
Compared with the prior art, the invention has the following beneficial effects:
1. the method is used for modeling target RCS characteristic data obtained by utilizing actual measurement, a target range test, an internal field test, theoretical calculation and the like;
2. the scheme of the invention solves the requirement of accessing the RCS characteristic data of the complete target by the same type multi-instance target in system simulation through a single reading and single copy storage mode with higher efficiency and moderate resource occupation;
3. the scheme of the invention provides convenience for system simulation target expansion by applying the strategy mode.
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Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a flow chart of a target RCS characteristic modeling simulation according to an embodiment of the present invention;
FIG. 2 is a diagram of results of RCS characteristic modeling simulation of an E2 aircraft;
FIG. 3 is a diagram of the change rule of the RCS characteristics of the E2 target with the change of the azimuth angle of 0 degree in the embodiment;
FIG. 4 is a diagram of the change of the RCS characteristics of the target E2 along with the pitch angle at the azimuth angle of 0 degree in the embodiment;
FIG. 5 is a diagram of a base class representation of target RCS feature reading, querying and interpolation algorithms;
FIG. 6 is a diagram of a method for representing characteristics subclasses of RCS of each target;
FIG. 7 is a diagram illustrating a method for storing RCS data by implementing each target RCS property subclass in a singleton mode;
FIG. 8 is a method diagram illustrating the calling interface class representation of each target RCS property subclass.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
The target RCS characteristic modeling method suitable for system simulation provided by the invention comprises the following steps:
step one, abstracting target RCS characteristic reading, inquiring and interpolation algorithms and constructing a base class model;
step two, inheriting the base class realized in the step one by applying a strategy mode so as to construct each target RCS characteristic subclass;
step three, realizing the storage of RCS data by each target RCS characteristic subclass by using a singleton mode;
and step four, developing a calling interface class for each target RCS characteristic subclass.
Referring to fig. 1, in step 1, target RCS feature reading, querying and interpolation algorithms are abstracted. And reading target RCS data by each subclass according to the corresponding relation shown in the following table according to the frequency and the polarization mode by using the base class RCS characteristic data reading method.
Figure BDA0002386487060000041
RCS characteristic query firstly selects corresponding target RCS data according to the working frequency and the polarization mode of the sensor, and the corresponding relation is shown in the table; then, four RCS values close to the input azimuth angle A and the input pitch angle E are searched by adopting a dichotomy, and the close points are selected as shown in the following table;
Figure BDA0002386487060000042
Figure BDA0002386487060000051
and finally, calculating a target RCS value matched with the input angle by adopting a two-dimensional interpolation method, wherein a calculation formula is shown as follows. Calculating RCS values corresponding to the azimuth angle A1 and the pitch angle E by the formula 1; calculating RCS values corresponding to the azimuth angle A2 and the pitch angle E by the formula 2; and (3) calculating the RCS value corresponding to the azimuth angle A and the pitch angle E.
Figure BDA0002386487060000052
And step two, applying the strategy mode to inherit the base class realized in the step one so as to construct each target RCS characteristic subclass (taking E2 as an example), which is shown in an E2 class diagram.
Step three, the RCS data are stored by each target RCS characteristic subclass by using a singleton mode, two-section initialization is adopted, the E2 subclass is instantiated by using the singleton mode in the first step, and the RCS data of E2 are read in the second step, so that the following steps are realized:
Figure BDA0002386487060000053
step four, developing a calling interface class for each target RCS characteristic subclass, and accessing the subclass data through a base class interface, wherein E2 is realized as follows for example:
Figure BDA0002386487060000054
fig. 2 is a schematic diagram of an embodiment implemented by the above steps. Fig. 3 shows the change rule of the RCS characteristics of the target E2 with azimuth angle of 0 degree of pitch angle of the embodiment. Fig. 4 shows the change rule of the target RCS characteristic of the E2 with the change of the pitch angle at the azimuth angle of 0 degrees of the embodiment. FIG. 5 is a diagram of a method for representing base classes of target RCS feature reading, querying and interpolation algorithms; FIG. 6 is a diagram illustrating the method for representing the RCS feature subclasses of each target in step two; FIG. 7 is a diagram of a storage representation method of RCS data by the implementation of each target RCS property subclass in three singleton modes of the step; FIG. 8 is a method diagram illustrating the call interface class representation of the RCS feature subclass of each target in step four.
Those skilled in the art will appreciate that, in addition to implementing the systems, apparatus, and various modules thereof provided by the present invention in purely computer readable program code, the same procedures can be implemented entirely by logically programming method steps such that the systems, apparatus, and various modules thereof are provided in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system, the device and the modules thereof provided by the present invention can be considered as a hardware component, and the modules included in the system, the device and the modules thereof for implementing various programs can also be considered as structures in the hardware component; modules for performing various functions may also be considered to be both software programs for performing the methods and structures within hardware components.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.

Claims (9)

1. A target RCS characteristic modeling method suitable for system simulation is characterized by comprising the following steps:
step 1: constructing a base class model according to the characteristics of the abstract target RCS;
step 2: constructing each target RCS characteristic subclass according to the base class model;
and step 3: realizing data storage of each target RCS characteristic subclass;
and 4, step 4: and realizing the calling interface class of the characteristic subclasses of each target RCS.
2. The method for modeling the characteristics of the target RCS suitable for system simulation according to claim 1, wherein the step 1 comprises: and reading, inquiring and interpolating the abstracted target RCS characteristics and constructing a base class model.
3. The method for modeling target RCS characteristics suitable for system simulation according to claim 1, wherein said step 2 comprises: and applying the strategy mode to inherit the base class model so as to construct each target RCS characteristic subclass.
4. The method for modeling target RCS characteristics suitable for system simulation according to claim 1, wherein said step 3 comprises: and (4) realizing the storage of RCS data by each target RCS characteristic subclass by using a singleton mode.
5. A target RCS signature modeling system adapted for architecture simulation, comprising:
module M1: constructing a base class model according to the characteristics of the abstract target RCS;
module M2: constructing each target RCS characteristic subclass according to the base class model;
module M3: realizing data storage of each target RCS characteristic subclass;
module M4: and realizing the calling interface class of the characteristic subclasses of each target RCS.
6. The system for modeling target RCS characteristics suitable for plant simulation of claim 5, wherein said module M1 comprises: and reading, inquiring and interpolating the abstracted target RCS characteristics and constructing a base class model.
7. The system for modeling target RCS characteristics suitable for plant simulation of claim 5, wherein said module M2 comprises: and applying the strategy mode to inherit the base class model so as to construct each target RCS characteristic subclass.
8. The system for modeling target RCS characteristics suitable for plant simulation of claim 5, wherein said module M3 comprises: and (4) realizing the storage of RCS data by each target RCS characteristic subclass by using a singleton mode.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 4.
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Cited By (1)

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CN112364538A (en) * 2020-11-09 2021-02-12 中国电子科技集团公司第二十九研究所 Multi-professional heterogeneous model unified packaging method based on data model

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CN105488838A (en) * 2015-11-30 2016-04-13 中国人民解放军海军航空工程学院 Radar image simulation-oriented terrain environment data representing method
CN107832551A (en) * 2017-11-24 2018-03-23 北京宇航***工程研究所 A kind of modularization Architecture simulation system and method towards Space Equipment
CN109164428A (en) * 2018-10-15 2019-01-08 华清瑞达(天津)科技有限公司 Digital radar analogue system and method

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Publication number Priority date Publication date Assignee Title
CN102521470A (en) * 2011-12-31 2012-06-27 中国人民解放军92232部队 Radar simulation system based on XML schema
CN102841966A (en) * 2012-08-28 2012-12-26 曾安里 Vpp-STK satellite simulation development and operation platform system
CN103530083A (en) * 2013-10-31 2014-01-22 广东粤铁瀚阳科技有限公司 Cloud computing based super display platform for mass information
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