CN111400866B - 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 PDFInfo
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Abstract
The application provides a target RCS characteristic modeling method and a system suitable for system simulation, wherein the method comprises the following steps: step 1: constructing a base class model according to the RCS characteristics of the abstract target; step 2: constructing each target RCS characteristic subclass according to the base class model; step 3: realizing data storage of each target RCS characteristic subclass; step 4: and realizing the calling interface class of each target RCS characteristic subclass. The application is used for modeling the target RCS characteristic data obtained by actual measurement, a target range test, an internal field test, theoretical calculation and the like; the application solves the requirement of the same-type multi-instance target on the access of the complete target RCS characteristic data in the system simulation; the application provides convenience for the expansion of the system simulation target.
Description
Technical Field
The application relates to the technical field of system simulation modeling, in particular to a target RCS characteristic modeling method and system suitable for system simulation.
Background
The target RCS characteristic modeling technology is a key technology in system simulation, and utilizes target RCS characteristic data to construct a target RCS characteristic model to provide target RCS characteristics for a detector in the system simulation.
The number and the variety of targets involved in the system simulation are various, different equipment models are added continuously in order to adapt to different scenes, and the targets are required to be configured with corresponding target RCS characteristic models; and along with the development and demonstration requirements of equipment, new targets are added into different simulation scenes continuously, and the new equipment is also necessary to construct a corresponding target characteristic model. Therefore, the scalability requirement of the target characteristic model is rigid, and the scalability and reusability of the simulation model need to be fully considered in design. Although the model needs to be expanded in many ways, the target characteristic model has basically consistent working modes such as reading, inquiring and the like except for the original data. The strategy mode of the design mode is that each algorithm is packaged by defining a group of algorithms, and the algorithms can be exchanged, when the target RCS characteristic simulation modeling is carried out, the algorithms are changed into a group of data definition classes, the characteristic data of each target are packaged, when the target is read and queried, the switching is carried out according to the target, when the target is expanded, only a class is defined for packaging own data, and a selection item is added to the interface class of the target RCS call without modifying other parts of the target RCS characteristic model.
The number and the variety of radars in the system simulation are numerous, and the working frequency range is covered P, L, S, X, K; electromagnetic wave polarization modes include HH, VV, etc.; taking the example of extracting 9 typical frequency point values including two polarization modes of HH and VV in the coverage range of the radar working frequency band, each target includes 9 x2=18 RCS data files. In the system simulation thinking scene, each type of target needs to be instantiated into a plurality of instances, each instance comprises a target characteristic component, and each target characteristic component can access the complete RCS data of the type of target. Since RCS data files generally store target RCS values at azimuth 0-180 degrees and pitch-90 degrees 1 degree intervals, each data file contains up to 181X181 = 32761 pieces of RCS data, and if each target feature component reads and stores 18 pieces of RCS data files of the target, the reading time and storage space for the target feature component will be considerable. Considering that the RCS data files of the same type of object are consistent, a single instance mode in the design mode is implemented by ensuring that a class has only one instance, and instantiating itself and providing this instance to the entire system. When the RCS characteristics of the targets are modeled, the class of the RCS data files of the same type of targets is stored once by instantiation, and an access interface is provided for all instantiated target characteristic components of the same type, so that the reading time of the RCS data files is greatly shortened, and the RCS data storage space is greatly saved.
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. Firstly, establishing an electromagnetic simulation model of an aerial target micro-motion component; secondly, given waveform parameters needed for electromagnetic scattering modeling, calculating a target micro-motion component RCS model under a corresponding frequency band and a pitching angle according to the waveform and the target parameters; and finally simulating the rotation of the target through the change of the radar sight irradiation angle 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 application aims to provide a target RCS characteristic modeling method and system suitable for system simulation.
The target RCS characteristic modeling method suitable for system simulation provided by the application comprises the following steps:
step 1: constructing a base class model according to the RCS characteristics of the abstract target;
step 2: constructing each target RCS characteristic subclass according to the base class model;
step 3: realizing data storage of each target RCS characteristic subclass;
step 4: and realizing the calling interface class of each target RCS characteristic subclass.
Preferably, the step 1 includes: and (5) carrying out reading, inquiring and interpolation algorithm on the abstracted target RCS characteristics and constructing a base class model.
Preferably, the step 2 includes: and applying a policy schema inheritance base class model to construct each target RCS characteristic subclass.
Preferably, the step 3 includes: and storing RCS data by utilizing the single-case mode to realize the RCS characteristic subclasses of each target.
The target RCS characteristic modeling system suitable for system simulation provided by the application comprises the following components:
module M1: constructing a base class model according to the RCS characteristics of the abstract target;
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 each target RCS characteristic subclass.
Preferably, the module M1 comprises: and (5) carrying out reading, inquiring and interpolation algorithm on the abstracted target RCS characteristics and constructing a base class model.
Preferably, the module M2 comprises: and applying a policy schema inheritance base class model to construct each target RCS characteristic subclass.
Preferably, the module M3 comprises: and storing RCS data by utilizing the single-case mode to realize the RCS characteristic subclasses of each target.
Compared with the prior art, the application has the following beneficial effects:
1. the application is used for modeling the target RCS characteristic data obtained by actual measurement, a target range test, an internal field test, theoretical calculation and the like;
2. the scheme solves the requirement of the same type multi-instance target on the access of the complete target RCS characteristic data in the system simulation by using a single-read and single-storage mode and higher efficiency and moderate resource occupation;
3. the scheme of the application applies the strategy mode to provide convenience for the expansion of the system simulation target.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 is a flow chart of a modeling simulation of the characteristics of a target RCS according to an embodiment of the application;
FIG. 2 is a graph of simulation results of the RCS characteristic modeling of the E2 aircraft;
FIG. 3 is a graph showing the variation rule of the E2 target RCS characteristic with azimuth angle, wherein the pitch angle is 0 DEG;
FIG. 4 is a graph showing the variation law of the characteristic of the E2 target RCS with the pitch angle, wherein the azimuth angle of the embodiment is 0 degrees;
FIG. 5 is a diagram of a target RCS characteristic reading, querying and interpolating algorithm base class representation method;
FIG. 6 is a diagram of a method for representing the subclass of characteristics of each target RCS;
FIG. 7 is a diagram of a method for implementing storage representation of RCS data for each target RCS property subclass in a single instance mode;
FIG. 8 is a diagram of a call interface class representation method for each target RCS property subclass.
Detailed Description
The present application will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present application, but are not intended to limit the application in any way. It should be noted that variations and modifications could be made by those skilled in the art without departing from the inventive concept. These are all within the scope of the present application.
The target RCS characteristic modeling method suitable for system simulation provided by the application comprises the following steps:
abstracting a target RCS characteristic reading, inquiring and interpolating algorithm and constructing a base class model;
step two, the policy mode is applied to inherit the base class realized in the step one so as to construct the characteristic subclasses of each target RCS;
step three, the storage of RCS data by each target RCS characteristic subclass is realized by using a single-case mode;
and step four, developing calling interface classes for the characteristic subclasses of each target RCS.
In step 1, as in fig. 1, target RCS feature reading, querying and interpolation algorithms are abstracted. The method for reading the characteristic data of each subclass by using the RCS of the base class reads the target RCS data according to the frequency and the polarization mode according to the corresponding relation shown in the following table.
The RCS characteristic inquiry 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 above; searching four RCS values adjacent to the input azimuth angle A and the input pitch angle E by adopting a dichotomy, wherein adjacent points are selected as shown in the following table;
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 an RCS value corresponding to the azimuth angle A1 and the pitch angle E in the formula 1; calculating an RCS value corresponding to the azimuth angle A2 and the pitch angle E in the formula 2; and calculating an RCS value corresponding to the azimuth angle A and the pitch angle E in the formula 3.
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), see an E2 class diagram.
Step three, the storage of RCS data by each target RCS characteristic subclass is realized by using a single-case mode, two-section initialization is adopted, the E2 subclass is instantiated by using the single-case mode in the first step, and the RCS data of E2 is read in the second step, so that the steps are realized as follows:
developing a calling interface class of each target RCS characteristic subclass, accessing subclass data through a base class interface, and realizing the following by taking E2 as an example:
fig. 2 is a schematic diagram of an embodiment implemented in the above steps. FIG. 3 shows the variation law of the characteristic of the RCS of the E2 target with the azimuth angle, wherein the pitch angle is 0 degrees. FIG. 4 shows the variation law of the E2 target RCS characteristic with the pitch angle, with the azimuth angle of 0 degrees in the example. FIG. 5 is a diagram of a method for representing the base class of a target RCS characteristic reading, querying and interpolating algorithm; FIG. 6 is a diagram showing a method for representing each target RCS property subclass in the second step; FIG. 7 is a diagram showing a method for implementing storage representation of RCS data for each target RCS property subclass in three single-instance modes; FIG. 8 is a diagram of a method for calling interface class representations for each target RCS property subclass in step four.
Those skilled in the art will appreciate that the systems, apparatus, and their respective modules provided herein may be implemented entirely by logic programming of method steps such that the systems, apparatus, and their respective modules are implemented as logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc., in addition to the systems, apparatus, and their respective modules being implemented as pure computer readable program code. Therefore, the system, the apparatus, and the respective modules thereof provided by the present application may be regarded as one hardware component, and the modules included therein for implementing various programs may also be regarded as structures within the hardware component; modules for implementing various functions may also be regarded as being either software programs for implementing the methods or structures within hardware components.
The foregoing describes specific embodiments of the present application. It is to be understood that the application is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the application. The embodiments of the application and the features of the embodiments may be combined with each other arbitrarily without conflict.
Claims (3)
1. The 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 RCS characteristics of the abstract target;
step 2: constructing each target RCS characteristic subclass according to the base class model;
step 3: realizing data storage of each target RCS characteristic subclass;
step 4: realizing calling interface classes for each target RCS characteristic subclass;
the step 1 comprises the following steps: reading, inquiring and interpolating algorithm is carried out on the abstracted target RCS characteristics, and a base class model is constructed;
the RCS characteristic query firstly selects corresponding target RCS data according to the working frequency and the polarization mode of the sensor, then adopts a dichotomy to find four RCS values adjacent to the input azimuth angle A and the input pitch angle E, and finally adopts a two-dimensional interpolation method to calculate a target RCS value matched with the input angle;
the step 2 comprises the following steps: applying a policy mode inheritance base class model to construct each target RCS characteristic subclass;
the step 3 comprises the following steps: and storing RCS data by utilizing the single-case mode to realize the RCS characteristic subclasses of each target.
2. A target RCS characteristic modeling system adapted for system simulation, comprising:
module M1: constructing a base class model according to the RCS characteristics of the abstract target;
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: realizing calling interface classes for each target RCS characteristic subclass;
the module M1 includes: reading, inquiring and interpolating algorithm is carried out on the abstracted target RCS characteristics, and a base class model is constructed;
the RCS characteristic query firstly selects corresponding target RCS data according to the working frequency and the polarization mode of the sensor, then adopts a dichotomy to find four RCS values adjacent to the input azimuth angle A and the input pitch angle E, and finally adopts a two-dimensional interpolation method to calculate a target RCS value matched with the input angle;
the module M2 includes: applying a policy mode inheritance base class model to construct each target RCS characteristic subclass;
the module M3 includes: and storing RCS data by utilizing the single-case mode to realize the RCS characteristic subclasses of each target.
3. A computer readable storage medium storing a computer program, which when executed by a processor implements the steps of the method of claim 1.
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| 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 |
| 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 | 北京宇航系统工程研究所 | A kind of modularization Architecture simulation system and method towards Space Equipment |
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|---|---|---|---|---|
| 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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