CN102981064A - Aircraft external radio frequency electromagnetic environment prediction method and prediction system - Google Patents
Aircraft external radio frequency electromagnetic environment prediction method and prediction system Download PDFInfo
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Abstract
The invention relates to the technical field of electromagnetic environment prediction, and discloses an aircraft external radio frequency electromagnetic environment prediction method and a prediction system. The system comprises an electromagnetic environmental parameter acquisition device, a data center, a simulating calculation center and a visual output terminal device. The method is that collected electromagnetic environmental parameter information of radiation sources, atmospheric environment, ground environment and sea environment is transmitted to the data center which is connected through networks by means of the electromagnetic environmental parameter acquisition device, and is stored in a data base which corresponds to the data center. The data center is connected with the simulating calculation center through a data line, and the simulating calculation center enables comprehensively predicted data model information of aircraft external radio frequency electromagnetic environment to be transmitted to the visual output terminal device which is connected through a video bus, so that the electromagnetic environment can be displayed comprehensively. According to the aircraft external radio frequency electromagnetic environment prediction method and the prediction system, an improved signal description word method is adopted to conduct modeling of aircraft external electromagnetic signal environment, and therefore the signal processing operational amount is reduced and the prediction efficiency is enhanced.
Description
Technical field
The present invention relates to the electromagnetic environment electric powder prediction, relate in particular to a kind of aircraft external radio frequency electromagnetic environment Forecasting Methodology and prognoses system.
Background technology
Electromagnetic environment refers to be present in the summation of all electromagnet phenomenons in given place or space.Complex electromagnetic environment refers in limited space-time, multiple electromagnetic signal is intensive, overlapping on certain frequency range, hinder the normal operation of infosystem and electronic equipment, on the electromagnetic environment that infosystem and electronic equipment make a significant impact, it is the complicated form of expression on spatial domain, time domain, frequency domain and energy domain of electromagnetic environment.
From existing research situation, current electromagnetic environment predicting means can't satisfy the requirement that complicated electromagnetic environment changes, and is mainly manifested in: be difficult to scientific definition actual combat environment true to nature, typical; Be difficult to electromagnetic environment key element comprehensive, that objective description affects electronic information; Be difficult to Obtaining Accurate electronic information information; Be difficult to accurate description electromagnetic signal propagation factor to the impact of electronic information; Be difficult to accurately simulate the variation characteristic of various types of signal.The electromagnetic environment forecasting techniques becomes a key issue that needs to be resolved hurrily estimating the electronic information Electro Magnetic Compatibility and avoid electromagnetic compatibility problem.
At present, the electromagnetic environment emulation prediction mainly is based on the Numerical Calculation of Electromagnetic Fields method, and the method is based on the modeling method of Maxwell equation.The method generally is used for the low frequency electromagnetic environmental modeling because operand is larger, the transient electromagnetic field state of aerial certain point when being characterized in reflecting, but the application scale is less, and frequency range is lower, is not suitable for large-scale electromagnetic environment emulation prediction.
The formation of aircraft external electromagnetic environment not only comprises the radiation of the various radiation sources in space, also comprises the electromagnetic radiation of interplane and inner other aircrafts.Because characteristics such as the space are vast, radiation source is of a great variety, different spaces range of radiation source electromagnetic environment influence degree difference is large, existing electromagnetic environment prognoses system can not satisfy the forecast demand of aircraft external radio frequency electromagnetic environment.
Summary of the invention
In order to predict aircraft external radio frequency electromagnetic environment comprehensively, the invention provides a kind of aircraft external radio frequency electromagnetic environment Forecasting Methodology and prognoses system, by radar receiver, communication station, environmental monitoring system, measure radar and radar jamming system in the aircarrier aircraft flight range, communicate by letter and the radiation source data such as communication jamming system, and the environmental data that comprises atmospheric environment, ground environment, sea environment, and these data communication devices are crossed Internet Transmission to prognoses system, as the data basis of electromagnetic environment prognoses system.And the present invention can be used for predicting the external radio frequency electromagnetic environment of the system such as all kinds of aircraft, steamer, ground surface platform or platform.
For achieving the above object, the present invention adopts following technical scheme:
A kind of aircraft external radio frequency electromagnetic environment prognoses system, comprise: gather electromagnetic environment parameter device, data center, simulation calculation center and visual outlet terminal device, described collection electromagnetic environment parameter device to the data center that links to each other by network, and is stored in the electromagnetic environment parameter communication of the radiation source that gathers, atmospheric environment, ground environment, sea environment in the corresponding database of data center; Described data center links to each other with the simulation calculation center by data line, the data model information that predict aircraft external radio frequency electromagnetic environment comprehensively at described simulation calculation center transfers to the visual outlet terminal equipment that links to each other by video bus, carries out the electromagnetic environment synthesis display.
A kind of aircraft external radio frequency electromagnetic environment prognoses system, described data center is comprised of data processing unit and disk array, is used for all kinds of parameters that reception, processing and stored parameter measuring system record; Described data processing unit links to each other with the database of data center's disk array; Described data processing unit comprises: data receiver, data screening, Data classification and data processing function module, the database on the described disk array comprises: radiation source database and environment data base.
A kind of aircraft external radio frequency electromagnetic environment prognoses system, described simulation calculation center is comprised of aircraft external electromagnetic environmental simulation unit and interplane electromagnetic-field simulation unit; Described aircraft external electromagnetic environmental simulation unit links to each other with data center by data line; Described interplane electromagnetic-field simulation unit carries out grid to the space of interplane to be divided, and calculates electromagnetic field data in each grid, and result of calculation is processed; The electromagnetic environment emulation information of described aircraft outside and interplane links to each other with visual outlet terminal equipment by control module.
A kind of aircraft external radio frequency electromagnetic environment prognoses system, described visual outlet terminal equipment is used for showing aircraft external radio frequency electromagnetic environment emulation information, comprise demonstration: the two-dimensional electromagnetic situation of aircraft outside, electromagnetic environment statistical information, and the 3-D display information of interplane electromagnetic field.
A kind of aircraft external radio frequency electromagnetic environment Forecasting Methodology, its step is as follows:
Step 1: set up electromagnetic environment parameter data center, by the electromagnetic environment parameter that radiation source, atmospheric environment, ground environment, the sea environment of setting up gathers, set up the electromagnetic environment parameter database, and be stored on the large storage facilities of disk array; By LAN or internet with the parameters communication that gathers to data center, store in the typing central database after data are processed.
Step 2: set up spacing wave environmental model storehouse
(1) set up the signal description model, the signal description word modeling method of application enhancements is set up radar signal environment model/Radar jam signal environmental model, signal of communication environmental model/Communication Jamming signal environment model.
1), radar signal environment model, described with pulse describing word PDW by radar signal, PDW mainly comprises the following parameter of signal here: pulse front edge TOA time of arrival, pulse carrier frequency RF, pulse power density PD, phase place PH, pulse width PW, pulse angle of arrival AOA.
2), the Radar jam signal environmental model, described Radar jam signal is divided into cheating interference signal and noise interferences.
(1) cheating interference signal model, described cheating interference signal pattern is consistent with the radar signal pattern, and the environmental model of cheating interference signal is consistent with the radar signal environment model, also adopts pulse describing word PDW to describe.
(2) noise interferences model, described noise interferences is described with noise signal describing word NDW, and noise signal NDW mainly comprises the following parameter of noise signal: noise modulated type NM, noise average power density PD, noise interferences bandwidth NBW; The generted noise burst prestores to noise spectrum sequence in the bandwidth at first at random; The noise threatening environment of each point synthesizes the effective noise power spectrum that forms at this point according to each EVAC (Evacuation Network Computer Model) on the line of flight.
3), signal of communication environmental model, described signal of communication is described with signal of communication describing word SDW, and signal of communication SDW mainly comprises the following parameter of signal: frequency spectrum sequence FSS, band internal power density sequence PDSS in signal transient frequency CF, average bandwidth MBW, the wide MTW of mean time, the band.
4), Communication Jamming signal environment model, described Communication Jamming signal is mainly described with the noise describing word, specifically describes to describe with radar noise undesired signal environmental model.
(2) set up propagation model, described propagation model comprises: radar signal propagation model and signal of communication propagation model, and the radar signal propagation model comprises: launch loss model, free-space propagation loss model, tropospheric refraction model and to the flow process absorbing model; The signal of communication propagation model comprises: launch loss model, free-space propagation loss model, diffraction loss model and ionospheric reflection model.
Step 3: set up Electromagnetic Calculation model between machine, be used for the calculating to electromagnetic environment between machine, model is based on the Electromagnetic Calculation model of MoM/FDTD, and for the Electromagnetic Calculation of interplane, adopting Huygens's face is the calculating that the boundary is decomposed into inner question and exterior problem.
Wherein inner question is analyzed body Heaven line with RWG base method of moment, calculates the distribution of current of antenna, thus the field distribution of calculating antenna according to distribution of current;
The near field electromagnetic field in Huygens's face of being calculated by method of moment of exterior problem wherein, solve equivalent current source and equivalent magnetic current source on Huygens's face in conjunction with equivalence principle, then field distribution in the aircraft environment is calculated as the driving source of FDTD in equivalent current source and magnetic current source.
Step 4: set up electromagnetic environment emulation computing center, described simulation calculation center is comprised of the double-core parallel computer, and the interplane Electromagnetic Calculation model that the simulation calculation center utilizes step 2 group of planes external electromagnetic signal environment model bank and step 3 to set up calculates and adds up the signal environment feature of deployment electronic information formation in the flight range and the electromagnetic field of interplane respectively.
The simulation calculation process is:
(1) reads in the in advance operative scenario of design, correlation parameter is set;
(2) according to operative scenario setting and simulation process, calculate every electronic information given viewpoint describing word characteristic parameter on Waypoint;
(3) according to operative scenario setting and simulation process, the electromagnetic field that calculates interplane distributes;
(4) will calculate good group of planes outside and interplane electromagnetic environment characteristic parameter adds up, stores and process.
Step 5: set up the visual outlet terminal that predicts the outcome, be about to signal environment statistics and interplane electromagnetic environment result of calculation and carry out synthesis display, the mode that adopts the two-dimensional electromagnetic environment to show shows the signal environment emulation statistics that aircraft external electrical infosystem produces, and comprises the position of flight path demonstration, platform and external system of aircraft and parameter display and the system signal environmental simulation result of state demonstration, platform and external system; The mode that adopts the 3 D electromagnetic environment to show shows interplane electromagnetic environment result of calculation, and the electromagnetic environment emulation data-mapping with each discrete point of interplane becomes different colors and draws out the visual process of displaying 3 D electromagnetic environmental data exactly.
Owing to adopt aforesaid technical scheme the present invention to have following superiority:
(1) the present invention has adopted improved signal description word method that aircraft external electromagnetic signal environment is carried out modeling, has reduced signal and has processed operand, has improved forecasting efficiency;
(2) the present invention has adopted the method that signal environment and Electromagnetic Calculation combine, realized comprehensive prediction of aircraft external electromagnetic environment, can for the aircraft electromagnetic spectrum management provides more effective decision support, improve accuracy and the completeness of electromagnetic environment prediction.
(3) use native system and carry out the electromagnetic environment prediction, taken into account the prediction of regional interior macroscopical electromagnetic environment and microcosmic electromagnetic environment, accuracy that can the Effective Raise prediction.
(4) native system is except being used for prediction aircraft external radio frequency electromagnetic environment, and after model was revised on a small quantity, the external radio frequency electromagnetic environment that can also be used for the system such as all kinds of aircraft, steamer, ground surface platform or platform was predicted.
Description of drawings
Fig. 1 is the structural drawing of the prognoses system of aircraft external radio frequency electromagnetic environment.
Fig. 2 is the composition synoptic diagram of data center of the prognoses system of aircraft external radio frequency electromagnetic environment.
Fig. 3 is the composition synoptic diagram at simulation calculation center of the prognoses system of aircraft external radio frequency electromagnetic environment.
Fig. 4 is the prediction process flow diagram of the prognoses system of aircraft external radio frequency electromagnetic environment.
Fig. 5 is the model base structure figure of the prognoses system of aircraft external radio frequency electromagnetic environment.
Fig. 6 is aircraft external electromagnetic environmental forecasting process flow diagram.
Embodiment
Below in conjunction with accompanying drawing invention is described further.
Shown in Fig. 1,2,3,4,5,6: a kind of aircraft external radio frequency electromagnetic environment prognoses system, comprise: gather electromagnetic environment parameter device, data center, simulation calculation center and visual outlet terminal device, described collection electromagnetic environment parameter device to the data center that links to each other by network, and is stored in the electromagnetic environment parameter communication of the radiation source that gathers, atmospheric environment, ground environment, sea environment in the corresponding database of data center; Described data center links to each other with the simulation calculation center by data line, the data model information that predict aircraft external radio frequency electromagnetic environment comprehensively at described simulation calculation center transfers to the visual outlet terminal equipment that links to each other by video bus, carries out the electromagnetic environment synthesis display.
Fig. 1 is system construction drawing of the present invention, partly is comprised of electromagnetic environment parameter acquisition system, data center, simulation calculation center and visual outlet terminal, and described electromagnetic environment parameter acquisition system is comprised of radar receiver, communication station and environmental system.
The composition diagram of described data center as shown in Figure 2.Data center mainly is comprised of data processing unit and disk array, is used for all kinds of parameters that reception, processing and stored parameter measuring system record.These parameters to data center, store the database that is arranged in data center's disk array into by Internet Transmission after data processing unit is processed.Data processing unit comprises the functional modules such as data receiver, data screening, Data classification and data processing, and the database on the disk array comprises radiation source database and environment data base.
Described simulation calculation center main will be comprised of computing machine, aircraft external electromagnetic environmental simulation unit and interplane electromagnetic-field simulation unit; As shown in Figure 3.The simulation calculation center is used for calculating aircraft external radio frequency electromagnetic environment, and aircraft external electromagnetic environmental simulation unit extracts required radiation source data and environmental data from data center, calculates radiation source positions, carries out signal environment emulation, and simulation result is added up; Interplane electromagnetic-field simulation unit imports group of planes model, grid is carried out in the space of interplane divide, and calculates electromagnetic field data in each grid, and result of calculation is processed.Aircraft electromagnetic environment emulation result outside and interplane is transferred to visual outlet terminal by control module at last and shows.
Described visual outlet terminal equipment is used for showing aircraft external radio frequency electromagnetic environment emulation result, two-dimensional electromagnetic situation, the electromagnetic environment statistical information of the to the effect that aircraft outside of demonstration, and the 3-D display of interplane electromagnetic field.
The prediction flow process of the aircraft external radio frequency electromagnetic environment Forecasting Methodology that the present invention proposes as shown in Figure 4, the implementation step is:
Step 1: data are prepared, demand data according to the prediction of aircraft external radio frequency electromagnetic environment, by parameter information and all kinds of environmental data of the electronic information of working in the parameters measuring system collection space, comprise position distribution, working method, signal parameter, atmospheric environment, ground environment, sea environment of electromagnetic radiation source etc.; Determine crucial electromagnetic environment key element, sum up aerial electromagnetic environment characteristics, by LAN or internet, the parameter information that records is sent to data center, data center sets up the electromagnetic environment database, parameter information after all kinds of processing is stored on the disk array of data center, is divided into radiation source data and environmental data;
Step 2: set up aircraft external electromagnetic environmental model and interplane electromagnetic environment model, the model base structure figure that system sets up as shown in Figure 5.
Described aircraft external electromagnetic environmental model, be that the electromagnetic signal of setting up electronic information produces and the transmission course model, comprise signal model, transmitter correlation model (launch loss, antenna direction graph model, antenna scanning model etc.) and signal mode; Determine model applicable elements and parameter; Set up realistic model on the mathematical model basis.
Described interplane electromagnetic environment model, be based on the Electromagnetic Calculation model of MoM/FDTD, select the medium parameters such as suitable dielectric constant values, conductivity, the ground bottom section is arranged with absorbing boundary condition, set up the aircaft configuration geometric model, carry out Electromagnetic Calculation by iterative manner.And realistic model is set up on the basis in mathematical model;
Step 3: the design effort scene, according to application background, carry out the operative scenario analysis, determine composition, switching on and shutting down time, application process and the duty etc. of electronic information in the scene, design exemplary operation scene generates the operative scenario file;
Step 4: prediction aircraft external radio frequency electromagnetic environment, according to the aerial electromagnetic environment model of setting up, under the driving of the aerial operative scenario of typical case, electromagnetic environment distribution between the distribution situation of electromagnetic signal and machine in the calculating fleet of aircraft flight range, result of calculation is analyzed, added up and shows, the final prediction that realizes aircraft external radio frequency electromagnetic environment, the prediction flow process of aircraft external radio frequency electromagnetic environment as shown in Figure 6.
The prediction flow process of aircraft external radio frequency electromagnetic environment is as follows:
1), read work document scene;
2), carry out the electromagnetic environment parameter setting;
3), through electronic information position and distribution process resume module;
4), carrying out aircraft external radio frequency electromagnetic environment and interplane external radio frequency electromagnetic environment differentiates;
5), to differentiate be fleet of aircraft external radio frequency electromagnetic environment, carries out single section electronic information emulation in the space;
A), carry out intervisibility and differentiate, differentiate for no and return the electronic information emulation of single section; Differentiation is that the ingoing power computing module calculates;
B), carry out in operating distance, differentiating, differentiate for no and return the electronic information emulation of single section; Differentiation is to carry out scan-type and calculate;
C), travel direction aim to differentiate, differentiate for no and return the electronic information emulation of single section; Differentiation is to carry out aircraft external radio frequency electromagnetic environment and calculate;
D), carry out whole electronic information emulation and finish differentiation, differentiate for no and return the electronic information emulation of single section; Differentiation is to carry out data analysis and demonstration;
6), to differentiate be external radio frequency electromagnetic environment between machine, carry out between machine the external radio frequency electromagnetic environment and calculate, the line number of going forward side by side according to one's analysis with demonstration; Differentiating is no returning, and carries out external radio frequency electromagnetic environment differentiation between aircraft external radio frequency electromagnetic environment and machine again;
7), the result of data analysis and demonstration stored end.
Claims (5)
1. aircraft external radio frequency electromagnetic environment prognoses system, it is characterized in that: comprising: gather electromagnetic environment parameter device, data center, simulation calculation center and visual outlet terminal device, described collection electromagnetic environment parameter device to the data center that links to each other by network, and is stored in the electromagnetic environment parameter communication of the radiation source that gathers, atmospheric environment, ground environment, sea environment in the corresponding database of data center; Described data center links to each other with the simulation calculation center by data line, the data model information that predict aircraft external radio frequency electromagnetic environment comprehensively at described simulation calculation center transfers to the visual outlet terminal equipment that links to each other by video bus, carries out the electromagnetic environment synthesis display.
2. aircraft external radio frequency electromagnetic environment prognoses system according to claim 1, it is characterized in that: described data center is comprised of data processing unit and disk array, is used for all kinds of parameters that reception, processing and stored parameter measuring system record; Described data processing unit links to each other with the database of data center's disk array; Described data processing unit comprises: data receiver, data screening, Data classification and data processing function module, the database on the described disk array comprises: radiation source database and environment data base.
3. aircraft external radio frequency electromagnetic environment prognoses system according to claim 1, it is characterized in that: described simulation calculation center is comprised of aircraft external electromagnetic environmental simulation unit and interplane electromagnetic-field simulation unit; Described aircraft external electromagnetic environmental simulation unit links to each other with data center by data line; Described interplane electromagnetic-field simulation unit carries out grid to the space of interplane to be divided, and calculates electromagnetic field data in each grid, and result of calculation is processed; The electromagnetic environment emulation information of described aircraft outside and interplane links to each other with visual outlet terminal equipment by control module.
4. aircraft external radio frequency electromagnetic environment prognoses system according to claim 1, it is characterized in that: described visual outlet terminal equipment is used for showing aircraft external radio frequency electromagnetic environment emulation information, comprise demonstration: the two-dimensional electromagnetic situation of aircraft outside, electromagnetic environment statistical information, and the 3-D display information of interplane electromagnetic field.
5. method of aircraft external radio frequency electromagnetic environment prediction as claimed in claim 1, its step is as follows:
Step 1: set up electromagnetic environment parameter data center, by the electromagnetic environment parameter that radiation source, atmospheric environment, ground environment, the sea environment of setting up gathers, set up the electromagnetic environment parameter database, and be stored on the large storage facilities of disk array; By LAN or internet with the parameters communication that gathers to data center, store in the typing central database after data are processed;
Step 2: set up spacing wave environmental model storehouse
(1) set up the signal description model, the signal description word modeling method of application enhancements is set up radar signal environment model/Radar jam signal environmental model, signal of communication environmental model/Communication Jamming signal environment model;
1), radar signal environment model, described with pulse describing word PDW by radar signal, PDW mainly comprises the following parameter of signal here: pulse front edge TOA time of arrival, pulse carrier frequency RF, pulse power density PD, phase place PH, pulse width PW, pulse angle of arrival AOA;
2), the Radar jam signal environmental model, described Radar jam signal is divided into cheating interference signal and noise interferences;
(1) cheating interference signal model, described cheating interference signal pattern is consistent with the radar signal pattern, and the environmental model of cheating interference signal is consistent with the radar signal environment model, also adopts pulse describing word PDW to describe;
(2) noise interferences model, described noise interferences is described with noise signal describing word NDW, and noise signal NDW mainly comprises the following parameter of noise signal: noise modulated type NM, noise average power density PD, noise interferences bandwidth NBW; The generted noise burst prestores to noise spectrum sequence in the bandwidth at first at random; The noise threatening environment of each point synthesizes the effective noise power spectrum that forms at this point according to each EVAC (Evacuation Network Computer Model) on the line of flight;
3), signal of communication environmental model, described signal of communication is described with signal of communication describing word SDW, and signal of communication SDW mainly comprises the following parameter of signal: frequency spectrum sequence FSS, band internal power density sequence PDSS in signal transient frequency CF, average bandwidth MBW, the wide MTW of mean time, the band;
4), Communication Jamming signal environment model, described Communication Jamming signal is mainly described with the noise describing word, specifically describes to describe with radar noise undesired signal environmental model;
(2) set up propagation model, described propagation model comprises: radar signal propagation model and signal of communication propagation model, and the radar signal propagation model comprises: launch loss model, free-space propagation loss model, tropospheric refraction model and to the flow process absorbing model; The signal of communication propagation model comprises: launch loss model, free-space propagation loss model, diffraction loss model and ionospheric reflection model;
Step 3: set up Electromagnetic Calculation model between machine, be used for the calculating to electromagnetic environment between machine, model is based on the Electromagnetic Calculation model of MoM/FDTD, and for the Electromagnetic Calculation of interplane, adopting Huygens's face is the calculating that the boundary is decomposed into inner question and exterior problem;
Wherein inner question is analyzed body Heaven line with RWG base method of moment, calculates the distribution of current of antenna, thus the field distribution of calculating antenna according to distribution of current;
The near field electromagnetic field in Huygens's face of being calculated by method of moment of exterior problem wherein, solve equivalent current source and equivalent magnetic current source on Huygens's face in conjunction with equivalence principle, then field distribution in the aircraft environment is calculated as the driving source of FDTD in equivalent current source and magnetic current source;
Step 4: set up electromagnetic environment emulation computing center, described simulation calculation center is comprised of the double-core parallel computer, and the interplane Electromagnetic Calculation model that the simulation calculation center utilizes step 2 group of planes external electromagnetic signal environment model bank and step 3 to set up calculates and adds up the signal environment feature of deployment electronic information formation in the flight range and the electromagnetic field of interplane respectively;
The simulation calculation process is:
(1) reads in the in advance operative scenario of design, correlation parameter is set;
(2) according to operative scenario setting and simulation process, calculate every electronic information given viewpoint describing word characteristic parameter on Waypoint;
(3) according to operative scenario setting and simulation process, the electromagnetic field that calculates interplane distributes;
(4) will calculate good group of planes outside and interplane electromagnetic environment characteristic parameter adds up, stores and process;
Step 5: set up the visual outlet terminal that predicts the outcome, be about to signal environment statistics and interplane electromagnetic environment result of calculation and carry out synthesis display, the mode that adopts the two-dimensional electromagnetic environment to show shows the signal environment emulation statistics that aircraft external electrical infosystem produces, and comprises the position of flight path demonstration, platform and external system of aircraft and parameter display and the system signal environmental simulation result of state demonstration, platform and external system; The mode that adopts the 3 D electromagnetic environment to show shows interplane electromagnetic environment result of calculation, and the electromagnetic environment emulation data-mapping with each discrete point of interplane becomes different colors and draws out the visual process of displaying 3 D electromagnetic environmental data exactly.
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| CN116953356A (en) * | 2023-09-20 | 2023-10-27 | 南京纳特通信电子有限公司 | Ground-air integrated three-dimensional space radio frequency spectrum monitoring method and system |
| CN116973977A (en) * | 2022-04-24 | 2023-10-31 | 中国人民解放军海军工程大学 | Self-adaptive denoising method for high-speed mobile platform low-frequency electric field target detection |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0573527A (en) * | 1991-09-12 | 1993-03-26 | Nippon Steel Corp | Electromagnetic field analysis device |
| CN101364245A (en) * | 2007-10-17 | 2009-02-11 | 北京理工大学 | Electromagnetic environment prediction method for multipole database |
| US7643980B2 (en) * | 2005-01-31 | 2010-01-05 | Ricoh Company, Ltd. | Electromagnetic field analysis apparatus, method and computer program |
| CN102185666A (en) * | 2011-04-18 | 2011-09-14 | 西安电子科技大学 | System and method for predicting multimode combined interference in complex electromagnetic environment |
-
2012
- 2012-10-09 CN CN201210379047.4A patent/CN102981064B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0573527A (en) * | 1991-09-12 | 1993-03-26 | Nippon Steel Corp | Electromagnetic field analysis device |
| US7643980B2 (en) * | 2005-01-31 | 2010-01-05 | Ricoh Company, Ltd. | Electromagnetic field analysis apparatus, method and computer program |
| CN101364245A (en) * | 2007-10-17 | 2009-02-11 | 北京理工大学 | Electromagnetic environment prediction method for multipole database |
| CN102185666A (en) * | 2011-04-18 | 2011-09-14 | 西安电子科技大学 | System and method for predicting multimode combined interference in complex electromagnetic environment |
Non-Patent Citations (2)
| Title |
|---|
| 张建华等: "海军舰艇编队雷达系统EMC预测分析仿真研究", 《舰船电子工程》 * |
| 高斌等: "复杂电磁环境效应研究初探", 《中国电子科学研究院学报》 * |
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