CN108446471A - Mountain area electromagnetic field prediction technique based on three-dimensional moment method and two-dimentional Fast Multiple Method - Google Patents

Mountain area electromagnetic field prediction technique based on three-dimensional moment method and two-dimentional Fast Multiple Method Download PDF

Info

Publication number
CN108446471A
CN108446471A CN201810193564.XA CN201810193564A CN108446471A CN 108446471 A CN108446471 A CN 108446471A CN 201810193564 A CN201810193564 A CN 201810193564A CN 108446471 A CN108446471 A CN 108446471A
Authority
CN
China
Prior art keywords
massif
field
simulation model
dimensional
magnetic
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201810193564.XA
Other languages
Chinese (zh)
Other versions
CN108446471B (en
Inventor
张玉
袁峰
左胜
赵勋旺
林中朝
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xidian University
Original Assignee
Xidian University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xidian University filed Critical Xidian University
Priority to CN201810193564.XA priority Critical patent/CN108446471B/en
Publication of CN108446471A publication Critical patent/CN108446471A/en
Application granted granted Critical
Publication of CN108446471B publication Critical patent/CN108446471B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Computer Graphics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention proposes a kind of mountain area electromagnetic field prediction technique based on three-dimensional moment method and two-dimentional Fast Multiple Method, under the premise of being meant to ensure that computational accuracy, computing resource consumption, and efficiently near field electromagnetic field distribution of the emulation mountain area under electromagnet source radiation event are reduced, realizes that step is:Establish mountain model;Obtain Gauss integration sample point coordinate;Build fritter massif three-dimensional simulation model;Calculate the scattering electric field and fringe magnetic field of the scattering electric field and fringe magnetic field and magnetic distribution region to be predicted site at massif D difference simulation model incidence field excitation;Obtain in-field of the massif D difference simulation model in TE waves and when TM waves;Calculate the scattering electric field and fringe magnetic field of massif D difference simulation model region site to be predicted in TE waves;Calculate the scattering electric field and fringe magnetic field of massif D difference simulation model region site to be predicted in TM waves;Mountain three-dimensional model is obtained in site field distribution in region to be predicted and Distribution of Magnetic Field.

Description

Mountain area electromagnetic field prediction technique based on three-dimensional moment method and two-dimentional Fast Multiple Method
Technical field
The invention belongs to Electromagnetic Field and Microwave Technology fields, are related to a kind of mountain area near field electromagnetic field prediction method, specifically relate to And a kind of mountain area near field electromagnetic field prediction method of the three-dimensional two-dimentional Fast Multiple Method algorithm of moment method mixing, it can be used for for shortwave day The erection of line and base station provides reasonable proposal.
Background technology
China is the country on mountain more than one, and mountain area area accounts for national territory total area 69.1%.Mountain area is more subject to various Disaster, disaster often lead to interruption of communication, and the commander of transmission and the rescue and relief work of information can only rely on communication system, grind Study carefully distribution the preventing and reducing natural disasters with especially important meaning to mountain area of mountain area electromagnetic field.
The main method of existing detection mountain area near field electromagnetic field has a field survey and numerical simulation, field survey refer to Short-wave antenna or base station predict the magnetic distribution situation in mountain area by way of measurement in the case of radiating, first this Kind method cannot exclude the interference of survey crew and test probe to electromagnetic field, and secondly, this method needs to spend a large amount of Manpower, material resources, financial resources cannot be satisfied growing demand.Numerical simulation refers to using Computer Simulation according to concrete model Simulate mountain area electromagnetic field distribution, such as use full wave method --- three-dimensional moment method (MoM) combine High Performance Computing into Row Digital calculation modelling, moment method are a kind of by the discrete method for turning to Algebraic Equation set of continuity equation, are a kind of electricity of classics Field value simulation algorithm.It is by first establishing mountain three-dimensional model, then setting when in the prior art to mountain area electromagnetism field prediction Simulation parameter is set, dense matrix equation is generated using three-dimensional moment method, it is thick then to solve this using dense matrix equation solver Then close matrix equation solves electric field and the magnetic field of required point, needs to consume a large amount of time, memory and meter in this process Resource is calculated, and when mountain three-dimensional model electric size becomes larger, emulation required time, memory and computing resource rapidly increase, So that also cannot be satisfied growing demand using computer cluster.
Invention content
It is an object of the invention to overcome above-mentioned the shortcomings of the prior art, provide it is a kind of based on three-dimensional moment method and The mountain area electromagnetic field prediction technique of two-dimentional Fast Multiple Method, it is intended under the premise of ensureing computational accuracy, computing resource consumption is reduced, And efficiently near field electromagnetic field distribution of the emulation mountain area under electromagnet source radiation event.
The technical thought of the present invention is to obtain specific mountain model by field survey or GIS-Geographic Information System, radiation Source with a certain range of fritter massif is integrally as new radiation source using centered on radiation source, using three-dimensional modeling and to new Radiation source carry out simulation calculation using three-dimensional moment method, be more than this new radiation source massif used according to selected face it is two-dimentional Model and two-dimentional Fast Multiple Method used to solve, in conjunction with key be to provide two-dimentional Fast Multiple Method emulation by three-dimensional moment method Required in-field finally provides the scattered field that the scattered field on selected face is provided with two-dimentional Fast Multiple Method by three-dimensional moment method The resultant field for being overlapped to the end.
According to above-mentioned technical thought, the technical solution that the present invention takes includes the following steps:
(1) mountain model is established:
(1a) obtains massif three-dimensional information and dielectric information using field survey or GIS-Geographic Information System, builds massif three Dimension module, while building the fritter mountain three-dimensional model centered on radiation source for including in massif;
(1b) subtracts fritter mountain three-dimensional model from mountain three-dimensional model, obtains massif three-dimensional differential mode type, and by pre- Plane where the electromagnetic field to be predicted first set cuts the massif three-dimensional differential mode type, obtains the massif two dimension differential mode for including height Type;
(2) the Gauss integration sample point coordinate needed for massif D difference simulation model incidence field excitation is obtained:
The frequency of the radiation source of massif D difference model is arranged in (2a), and the radiation source is added to massif D difference model In, then dielectric constant, conductivity and the magnetic conductivity for the massif D difference model for having added radiation source are set, obtain massif D difference Simulation model;
(2b) emulates massif D difference simulation model in advance, obtains massif D difference simulation model incidence field excitation institute The Gauss integration sample point coordinate needed;
(3) fritter massif three-dimensional simulation model is built:
The frequency of the radiation source of fritter mountain three-dimensional model is set, and the radiation source is added to fritter mountain three-dimensional model In, then dielectric constant, conductivity and the magnetic conductivity for the fritter mountain three-dimensional model for having added radiation source are set, obtain fritter massif Three-dimensional simulation model, wherein the frequency of the frequency of the radiation source of fritter mountain three-dimensional model and the radiation source of massif D difference model Rate is identical, dielectric constant, the electricity of dielectric constant, conductivity and the magnetic conductivity and massif D difference model of fritter mountain three-dimensional model Conductance is identical with magnetic conductivity;
(4) the scattering electric field E at massif D difference simulation model incidence field excitation is calculated using three-dimensional moment methodS-GWith dissipate Penetrate magnetic field HS-GAnd the scattering electric field E of magnetic distribution region to be predicted siteS-IWith fringe magnetic field HS-I
(4a) calculates electromagnetic current basic function coefficient vector X:
Using three-dimensional moment method, the impedance matrix A and voltage matrix B of fritter massif three-dimensional simulation model are calculated, and is utilized Impedance matrix A and voltage matrix B build dense matrix equation AX=B, then solve the dense matrix equation, obtain electromagnetic current base letter Number system number vector X, whereinInFor electric current basic function coefficient vector, MnFor magnetic current basic function coefficient vector;
(4b) calculates electric current J and magnetic current M on each curved surface of fritter massif three-dimensional simulation model:
According to electromagnetic current basic function coefficient vectorIt calculates on each curved surface of fritter massif three-dimensional simulation model Electric current J and magnetic current M;
(4c) calculates the scattering electric field E in Gauss integration sample point coordinateS-GWith fringe magnetic field HS-GAnd fritter massif three Tie up the scattering electric field E of magnetic distribution region to be predicted site in simulation modelS-IWith fringe magnetic field HS-I
It is calculated high by the electric current J and magnetic current M on each curved surface in fritter massif three-dimensional simulation model using integral equation Scattering electric field E on this integration sampling point coordinatesS-GWith fringe magnetic field HS-GAnd fritter massif three-dimensional simulation model is to be predicted The scattering electric field E of magnetic distribution region siteS-IWith fringe magnetic field HS-I
(5) in-field when obtaining massif D difference simulation model TE waves and in-field when TM waves:
(5a) using the faces xoy as the plane of reference, from scattering electric field ES-GExtract x durection components ExWith y durection components Ey, while from dissipate Penetrate magnetic field HS-GExtract z durection components Hz, and by Ex、EyAnd HzCombination settings be massif D difference simulation model TE waves when enter Penetrate field;
(5b) using the faces xoy as the plane of reference, from scattering electric field ES-GExtract z durection components Ez, while from fringe magnetic field HS-GIt carries Take x durection components HxWith y durection components Hy, and by Ez、HxAnd HyCombination settings be massif D difference simulation model TM waves when In-field;
(6) using two-dimentional Fast Multiple Method algorithm, massif D difference simulation model is calculated in region site to be predicted Scattering electric field ES-TEWith fringe magnetic field HS-TE
(6a) calculates electromagnetic current basis function vector when massif D difference simulation model in-field excitation types are TE waves XFTE
In-field when by TE waves that step (5a) obtains is input in two-dimentional Fast Multiple Method algorithm routine as at this time The in-field of massif D difference simulation model, and using two-dimentional Fast Multiple Method algorithm, calculate massif D difference simulation model Impedance matrix [AnearTE+AfarTE] and voltage matrix BFTE, recycle impedance matrix [AnearTE+AfarTE] and voltage matrix BFTEStructure Build matrix equation [AnearTE+AfarTE]XFTE=BFTE, the matrix equation is then solved, electromagnetic current basic function coefficient vector is obtained XFTE, wherein For electric current basic function coefficient vector,For magnetic current basic function coefficient vector;
(6b) calculates the electric current J on each line segment grid in massif D difference simulation modelFTEWith magnetic current MFTE
According to electromagnetic current basic function coefficient vectorCalculate each line segment net in massif D difference simulation model Electric current J on latticeFTEWith magnetic current MFTE
Scattering electric field E of (6c) the calculating massif D difference simulation model in region site to be predictedS-TEAnd fringe magnetic field HS-TE
Using integral equation, pass through the electric current J on each line segment grid in massif D difference simulation modelFTEWith magnetic current MFTE, Scattering electric field E of the calculating massif D difference simulation model in region site to be predictedS-TEWith fringe magnetic field HS-TE
(7) using two-dimentional Fast Multiple Method algorithm, massif D difference simulation model is calculated in region site to be predicted Scattering electric field ES-TMWith fringe magnetic field HS-TM
(7a) calculates electromagnetic current basis function vector when massif D difference simulation model in-field excitation types are TM waves XFTM
In-field when by TM waves that step (5b) obtains is input in two-dimentional Fast Multiple Method algorithm routine as at this time The in-field of massif D difference simulation model, and using two-dimentional Fast Multiple Method algorithm, calculate massif D difference simulation model Impedance matrix [AnearTM+AfarTM] and voltage matrix BFTM, recycle impedance matrix [AnearTM+AfarTM] and voltage matrix BFTMStructure Build matrix equation [AnearTM+AfarTM]XFTM=BFTM, the matrix equation is then solved, electromagnetic current basic function coefficient vector is obtained XFTM, wherein For electric current basic function coefficient vector,For magnetic current basic function coefficient vector;
(7b) calculates the electric current J on each line segment grid in massif D difference simulation modelFTMWith magnetic current MFTM
According to electric field basic function coefficient vectorCalculate each line segment grid in massif D difference simulation model On electric current JFTMWith magnetic current MFTM
Scattering electric field E of (7c) the calculating massif D difference simulation model in region site to be predictedS-TMAnd fringe magnetic field HS-TM
Using integral equation, pass through the electric current J on each line segment grid in massif D difference simulation modelFTMWith magnetic current MFTM, Scattering electric field E of the calculating massif D difference simulation model in region site to be predictedS-TMWith fringe magnetic field HS-TM
(8) mountain three-dimensional model is obtained in region site field distribution E to be predictedTOTWith Distribution of Magnetic Field HTOT
By ES-I、ES-TEAnd ES-TMIt is overlapped, obtains mountain three-dimensional model in site field distribution in region to be predicted ETOT:ETOT=ES-I+ES-TE+ES-TM, by HS-I、HS-TEAnd HS-TMIt is overlapped, obtains mountain three-dimensional model in regional field to be predicted Distribution of Magnetic Field H at pointTOT:HTOT=HS-I+HS-TE+HS-TM
Compared with prior art, the present invention having the following advantages that:
The present invention takes full advantage of three-dimensional moment method and is handled with two-dimentional Fast Multiple Method in the accuracy of processing complex target The ability of super TV university target or environment;Compared with the prior art, the present invention is under the premise of ensureing computational accuracy, consumption calculations money Source is less, more efficient.
Description of the drawings
Fig. 1 is the implementation process block diagram of the present invention;
Fig. 2 is the mountain three-dimensional model of the present invention;
Fig. 3 is the fritter mountain three-dimensional model of the present invention;
Fig. 4 is the geometry site of the mountain three-dimensional model and hill block threedimensional model of the present invention;
Fig. 5 is the massif D difference model comprising height of the present invention;
Fig. 6 is the electric field Comparative result of the mountain three-dimensional model global solution and combined method that are acquired using the prior art, Middle Fig. 6 (a) is EyReal component Comparative result, Fig. 6 (b) is EyImaginary Comparative result;
Fig. 7 is the electric field Comparative result of the mountain three-dimensional model global solution and the present invention that are acquired using the prior art, wherein Fig. 7 (a) is EzReal component Comparative result, Fig. 7 (b) is EzImaginary Comparative result.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, below in conjunction with attached drawing and specific implementation Example, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only used to explain this hair It is bright, it is not intended to limit the present invention.
With reference to figure 1, a kind of mountain area electromagnetic field prediction technique based on three-dimensional moment method and two-dimentional Fast Multiple Method, including such as Lower step:
Step 1) establishes mountain model:
Step 1a) using field survey or GIS-Geographic Information System massif three-dimensional information and dielectric information are obtained, use is soft Part GID builds mountain three-dimensional model, as shown in Fig. 2, its position in reference axis is x-axis:1420m-2020m, y-axis: 1350m-1950m, z-axis:45m-200m, while using include in software GID structure massif being with (1720,1820,150) The fritter mountain three-dimensional model of the heart, as shown in figure 3, its position in reference axis is x-axis:1570m-1870m, y-axis:1500m- 1800m, z-axis:The relationship of 71m-200m, mountain model and fritter mountain model is as shown in figure 4, fritter mountain model is in massif In model;
Step 1b) using the Boolean calculation of software GID fritter mountain three-dimensional model, boolean are subtracted from mountain three-dimensional model Operation is the logical deduction by reasoning method of numerical chracter, including joint, intersects and subtract each other, and is usually used in the place of figure in 3 d modeling software Reason, obtains massif three-dimensional differential mode type, and selected x=1720m be electromagnetic field to be predicted where plane to cut the massif three-dimensional poor Model obtains massif three-dimensional differential mode type in the sections yz of x=1720m, as shown in figure 5, being the massif D difference for including height Model, it is magnetic distribution to be predicted to select and arrive point (1720,1820,270) from point (1720,1820,150) on the faces x=1720m Region site, it is as shown in Figure 5 in the position of massif D difference model;
Step 2) obtains the Gauss integration sample point coordinate needed for massif D difference simulation model incidence field excitation:
Step 2a) radiation source type of massif D difference model is set for point source, coordinate is (1650,210), frequency For 10MHz, and the radiation source is added in massif D difference model, then the massif D difference model for having added radiation source is set Relative dielectric constant be 4, conductivity is 0.001 and relative permeability is 1, obtain massif D difference simulation model;
Step 2b) massif D difference simulation model is emulated in advance, it obtains massif D difference simulation model in-field and swashs Encourage required Gauss integration sample point coordinate (yk,zk), k indicates k-th of sampled point;
Pre- emulation refers to running an existing simulation model, exports the value of needs, is referred here to the quick multipole of two dimension Son runs a massif D difference simulation model;
Step 3) builds fritter massif three-dimensional simulation model:
Be arranged the radiation source of fritter mountain three-dimensional model type be half-wave doublet, centre coordinate be (1720, 1650,210), frequency 10MHz, and the radiation source is added in fritter mountain three-dimensional model, then be arranged and added radiation The relative dielectric constant of the fritter mountain three-dimensional model in source is 4, conductivity is 0.001 and relative permeability is 1, obtains fritter mountain Body three-dimensional simulation model;
Step 4) calculates the scattering electric field E at massif D difference simulation model incidence field excitation using three-dimensional moment methodS-GWith Fringe magnetic field HS-GAnd the scattering electric field E of magnetic distribution region to be predicted siteS-IWith fringe magnetic field HS-I
Step 4a) calculate electromagnetic current basic function coefficient vector X:
Using three-dimensional moment method, the impedance matrix A and voltage matrix B of fritter massif three-dimensional simulation model are calculated, and is utilized Impedance matrix A and voltage matrix B build dense matrix equation AX=B, then solve the dense matrix equation, obtain electromagnetic current base letter Number system number vector X;
Step 4b) calculate each curved surface of fritter massif three-dimensional simulation model on electric current J and magnetic current M:
According to electromagnetic current basic function coefficient vector
Use formula
Calculate the electric current J and magnetic current M on each curved surface, wherein fn(r) it is basic function, η0For the wave impedance in free space;
Step 4c) Gauss integration sample point coordinate that step 2) is obtained according to section completion is three-dimensional coordinate, because of step The rapid Gauss integration sample point coordinate 2) obtained is two-dimensional coordinate, and it is three-dimensional sit that three-dimensional moment method, which calculates required coordinate type, Mark, therefore need according to the face cut the three-dimensional coordinate that the two-dimensional coordinate completion is three-dimensional moment method needs, it is herein handle Coordinate (yk,zk) completion be (1720, yk,zk),
Using integral equation
Wherein, J is the electric current on each curved surface, and M is the magnetic current on each curved surface, and j is imaginary unit, and k is medium space wave number, η0For free space wave impedance, r ' is source point coordinate, and R is distance of the site to source point, and G (R) is free space Green's function;
By the electric current J and magnetic current M on each curved surface in fritter massif three-dimensional simulation model, calculates Gauss integration sampled point and sit Mark (1720, yk,zk) on scattering electric field ES-GWith fringe magnetic field HS-GAnd fritter massif three-dimensional simulation model point (1720, 1820,150) the scattering electric field E at point (1720,1820,270) is arrivedS-IWith fringe magnetic field HS-I
In-field when step 5) obtains massif D difference simulation model TE waves and in-field when TM waves:
Step 5a) using the faces xoy as the plane of reference, from scattering electric field ES-GExtract x durection components ExWith y durection components Ey, simultaneously From fringe magnetic field HS-GExtract z durection components Hz, and by Ex、EyAnd HzCombination settings be massif D difference simulation model TE waves when In-field;
Step 5b) using the faces xoy as the plane of reference, from scattering electric field ES-GExtract z durection components Ez, while from fringe magnetic field HS-G Extract x durection components HxWith y durection components Hy, and by Ez、HxAnd HyCombination settings be massif D difference simulation model TM waves when In-field;
Step 6) is calculated massif D difference simulation model and is arrived point in point (1820,150) using two-dimentional Fast Multiple Method algorithm (1820,270) the scattering electric field E atS-TEWith fringe magnetic field HS-TE
Step 6a) calculate electric field basis function vector when massif D difference simulation model in-field excitation types are TE waves XFTE
By step 5a) obtained TE waves when in-field be input in two-dimentional Fast Multiple Method algorithm routine as mountain at this time The in-field of body D difference simulation model, and using two-dimentional Fast Multiple Method algorithm, calculate the resistance of massif D difference simulation model Anti- matrix [AnearTE+AfarTE] and voltage matrix BFTE, recycle impedance matrix [AnearTE+AfarTE] and voltage matrix BFTEStructure Matrix equation [AnearTE+AfarTE]XFTE=BFTE, the matrix equation is then solved, electromagnetic current basic function coefficient vector X is obtainedFTE
Step 6b) calculate the electric current J on each line segment grid in massif D difference simulation modelFTEWith magnetic current MFTE
According to electromagnetic current basic function coefficient vector
Use formula
Calculate the electric current J on each line segment gridFTEWith magnetic current MFTE,For basic function, η0For the wave in free space Impedance;
Step 6c) calculate massif D difference simulation model region site to be predicted scattering electric field ES-TEWith scattering magnetic Field HS-TE
Using integral equation
Wherein,JFTEFor the electric current on each line segment grid, MFTEFor the magnetic on each line segment grid Stream, j are imaginary unit, and k is free space wave number, η0For free space wave impedance, ρ ' is source point coordinate, and ρ is site coordinate,For the second class zeroth order Hankel function;
Pass through the electric current J on each line segment grid in massif D difference simulation modelFTEWith magnetic current MFTE, calculate massif D difference Scattering electric field E of the simulation model at point (1820,150) to point (1820,270)S-TEWith fringe magnetic field HS-TE
Step 7) is calculated massif D difference simulation model and is arrived point in point (1820,150) using two-dimentional Fast Multiple Method algorithm (1820,270) the scattering electric field E atS-TMWith fringe magnetic field HS-TM
Step 7a) calculate electromagnetic current basis function vector when massif D difference simulation model in-field excitation types are TM waves XFTM
In-field when by TM waves that step (5b) obtains is input in two-dimentional Fast Multiple Method algorithm routine as at this time The in-field of massif D difference simulation model, and using two-dimentional Fast Multiple Method algorithm, calculate massif D difference simulation model Impedance matrix [AnearTM+AfarTM] and voltage matrix BFTM, recycle impedance matrix [AnearTM+AfarTM] and voltage matrix BFTMStructure Build matrix equation [AnearTM+AfarTM]XFTM=BFTM, the matrix equation is then solved, electromagnetic current basic function coefficient vector is obtained XFTM
Step 7b) calculate the electric current J on each line segment grid in massif D difference simulation modelFTMWith magnetic current MFTM
According to electric field basic function coefficient vector
Use formula
Calculate the electric current J on each line segment gridFTMWith magnetic current MFTM, wherein For basic function, η0For the wave impedance in free space;
Step 7c) calculate scattering electric field of the massif D difference simulation model at point (1820,150) to point (1820,270) ES-TMWith fringe magnetic field HS-TM
Using integral equation
Wherein,JFTMFor the electric current on each line segment grid, MFTMFor the magnetic on each line segment grid Stream, j are imaginary unit, and k is free space wave number, η0For free space wave impedance, ρ ' is source point coordinate, and ρ is site coordinate,For the second class zeroth order Hankel function;
Pass through the electric current J on each line segment grid in massif D difference simulation modelFTMWith magnetic current MFTM, calculate massif D difference Scattering electric field E of the simulation model at point (1820,150) to point (1820,270)S-TMWith fringe magnetic field HS-TM
Step 8) obtains mountain three-dimensional model electric field minute at point (1720,1820,150) to point (1720,1820,270) Cloth ETOTWith Distribution of Magnetic Field HTOT
Script ES-TE、ES-TM、HS-TEAnd HS-TMMassif D difference simulation model point (1820,150) to point (1820, 270) scattering electric field and fringe magnetic field at place, because the plane cut is the faces yz of x=1720m, so scattered field is also to correspond to Mountain three-dimensional model in point (1720,1820,150) to the scattered field at point (1720,1820,270);By ES-I、ES-TEWith ES-TMIt is overlapped, obtains mountain three-dimensional model field distribution at point (1720,1820,150) to point (1720,1820,270) ETOT:ETOT=ES-I+ES-TE+ES-TM, by HS-I、HS-TEAnd HS-TMBe overlapped, obtain mountain three-dimensional model point (1720, 1820,150) Distribution of Magnetic Field H at point (1720,1820,270) is arrivedTOT:HTOT=HS-I+HS-TE+HS-TM
Below in conjunction with emulation experiment, the technique effect of the present invention is further described:
1. simulated conditions and content
The prior art using computer cluster using three-dimensional moment method calculate massif three-dimensional simulation model point (1720, 1820,150) arrive point (1720,1820,270) electric field and Distribution of Magnetic Field, wherein mountain three-dimensional model simulation parameter setting and The simulation parameter of fritter mountain three-dimensional model is consistent, as the contrast verification to combined method result;The present invention uses computer Cluster using three-dimensional moment method calculate fritter massif three-dimensional simulation model point (1720,1820,150) to point (1720,1820, 270) electric field at Gauss integration sampled point needed for electric field and Distribution of Magnetic Field and D difference simulation model incidence field excitation The magnetic field and;And D difference simulation model is calculated using two-dimentional Fast Multiple Method using computer and arrive point in point (1820,150) (1820,270) electric field and Distribution of Magnetic Field;Each node configures the central processing unit of two 12 cores of Xeon E5-2692 64GB DDR3 memories, hard disk are several.
2. analysis of simulation result:
Following table is in specific embodiment, is that the prior art and the present invention use memory and CPU core calculation and calculating respectively The comparison of time:
As can be seen from the above table data, this invention greatly reduces computing resources, and greatly improve emulation Efficiency;
With reference to figure 6, Fig. 6 (a), Fig. 6 (b) are that the present invention and the prior art arrive point in point (1720,1820,150) respectively (1720,1820,270) the electric field E onyReal and imaginary parts component;
With reference to figure 7, Fig. 7 (a), Fig. 7 (b) are that the present invention and the prior art arrive point in point (1720,1820,150) respectively (1720,1820,270) the electric field E onzReal and imaginary parts component;
As can be seen from Figures 6 and 7, the present invention and prior art result coincide good, so this hair of the simulating, verifying Bright accuracy.

Claims (8)

1. a kind of mountain area electromagnetic field prediction technique based on three-dimensional moment method and two-dimentional Fast Multiple Method, it is characterised in that including such as Lower step:
(1) mountain model is established:
(1a) obtains massif three-dimensional information and dielectric information using field survey or GIS-Geographic Information System, builds massif three-dimensional mould Type, while building the fritter mountain three-dimensional model centered on radiation source for including in massif;
(1b) subtracts fritter mountain three-dimensional model from mountain three-dimensional model, obtains massif three-dimensional differential mode type, and by setting in advance Plane where fixed electromagnetic field to be predicted cuts the massif three-dimensional differential mode type, obtains the massif D difference model for including height;
(2) the Gauss integration sample point coordinate needed for massif D difference simulation model incidence field excitation is obtained:
The frequency of the radiation source of massif D difference model is arranged in (2a), and the radiation source is added in massif D difference model, Dielectric constant, conductivity and the magnetic conductivity of the massif D difference model for having added radiation source are set again, it is imitative to obtain massif D difference True mode;
(2b) emulates massif D difference simulation model in advance, obtains needed for massif D difference simulation model incidence field excitation Gauss integration sample point coordinate;
(3) fritter massif three-dimensional simulation model is built:
The frequency of the radiation source of fritter mountain three-dimensional model is set, and the radiation source is added in fritter mountain three-dimensional model, Dielectric constant, conductivity and the magnetic conductivity of the fritter mountain three-dimensional model for having added radiation source are set again, obtain fritter massif three Tie up simulation model, wherein the frequency of the frequency of the radiation source of fritter mountain three-dimensional model and the radiation source of massif D difference model It is identical, dielectric constant, conductivity and the magnetic conductivity of fritter mountain three-dimensional model and the dielectric constant of massif D difference model, conductance Rate is identical with magnetic conductivity;
(4) the scattering electric field E at massif D difference simulation model incidence field excitation is calculated using three-dimensional moment methodS-GWith scattering magnetic Field HS-GAnd the scattering electric field E of magnetic distribution region to be predicted siteS-IWith fringe magnetic field HS-I
(4a) calculates electromagnetic current basic function coefficient vector X:
Using three-dimensional moment method, the impedance matrix A and voltage matrix B of fritter massif three-dimensional simulation model are calculated, and utilize impedance Matrix A and voltage matrix B build dense matrix equation AX=B, then solve the dense matrix equation, obtain electromagnetic current basic function system Number vector X, whereinInFor electric current basic function coefficient vector, MnFor magnetic current basic function coefficient vector;
(4b) calculates electric current J and magnetic current M on each curved surface of fritter massif three-dimensional simulation model:
According to electromagnetic current basic function coefficient vectorCalculate the electric current J on each curved surface of fritter massif three-dimensional simulation model With magnetic current M;
(4c) calculates the scattering electric field E in Gauss integration sample point coordinateS-GWith fringe magnetic field HS-GAnd fritter massif three-dimensional is imitative The scattering electric field E of magnetic distribution region to be predicted site in true modeS-IWith fringe magnetic field HS-I
Gauss product is calculated by the electric current J and magnetic current M on each curved surface in fritter massif three-dimensional simulation model using integral equation Divide the scattering electric field E in sample point coordinateS-GWith fringe magnetic field HS-GAnd fritter massif three-dimensional simulation model is in electromagnetism to be predicted The scattering electric field E of field distribution region siteS-IWith fringe magnetic field HS-I
(5) in-field when obtaining massif D difference simulation model TE waves and in-field when TM waves:
(5a) using the faces xoy as the plane of reference, from scattering electric field ES-GExtract x durection components ExWith y durection components Ey, while from scattering magnetic Field HS-GExtract z durection components Hz, and by Ex、EyAnd HzCombination settings be massif D difference simulation model TE waves when incidence ;
(5b) using the faces xoy as the plane of reference, from scattering electric field ES-GExtract z durection components Ez, while from fringe magnetic field HS-GExtract the side x To component HxWith y durection components Hy, and by Ez、HxAnd HyCombination settings be massif D difference simulation model TM waves when incidence ;
(6) using two-dimentional Fast Multiple Method algorithm, scattering of the massif D difference simulation model in region site to be predicted is calculated Electric field ES-TEWith fringe magnetic field HS-TE
(6a) calculates electromagnetic current basis function vector X when massif D difference simulation model in-field excitation types are TE wavesFTE
In-field when by TE waves that step (5a) obtains is input in two-dimentional Fast Multiple Method algorithm routine as massif at this time The in-field of D difference simulation model, and using two-dimentional Fast Multiple Method algorithm, calculate the impedance of massif D difference simulation model Matrix [AnearTE+AfarTE] and voltage matrix BFTE, recycle impedance matrix [AnearTE+AfarTE] and voltage matrix BFTEBuild square Battle array equation [AnearTE+AfarTE]·XFTE=BFTE, the matrix equation is then solved, electromagnetic current basic function coefficient vector X is obtainedFTE, Wherein For electric current basic function coefficient vector,For magnetic current basic function coefficient vector;
(6b) calculates the electric current J on each line segment grid in massif D difference simulation modelFTEWith magnetic current MFTE
According to electromagnetic current basic function coefficient vectorIt calculates in massif D difference simulation model on each line segment grid Electric current JFTEWith magnetic current MFTE
Scattering electric field E of (6c) the calculating massif D difference simulation model in region site to be predictedS-TEWith fringe magnetic field HS-TE
Using integral equation, pass through the electric current J on each line segment grid in massif D difference simulation modelFTEWith magnetic current MFTE, calculate Scattering electric field E of the massif D difference simulation model in region site to be predictedS-TEWith fringe magnetic field HS-TE
(7) using two-dimentional Fast Multiple Method algorithm, scattering of the massif D difference simulation model in region site to be predicted is calculated Electric field ES-TMWith fringe magnetic field HS-TM
(7a) calculates electromagnetic current basis function vector X when massif D difference simulation model in-field excitation types are TM wavesFTM
In-field when by TM waves that step (5b) obtains is input in two-dimentional Fast Multiple Method algorithm routine as massif at this time The in-field of D difference simulation model, and using two-dimentional Fast Multiple Method algorithm, calculate the impedance of massif D difference simulation model Matrix [AnearTM+AfarTM] and voltage matrix BFTM, recycle impedance matrix [AnearTM+AfarTM] and voltage matrix BFTMBuild square Battle array equation [AnearTM+AfarTM]·XFTM=BFTM, the matrix equation is then solved, electromagnetic current basic function coefficient vector X is obtainedFTM, Wherein For electric current basic function coefficient vector,For magnetic current basic function coefficient vector;
(7b) calculates the electric current J on each line segment grid in massif D difference simulation modelFTMWith magnetic current MFTM
According to electric field basic function coefficient vectorIt calculates in massif D difference simulation model on each line segment grid Electric current JFTMWith magnetic current MFTM
Scattering electric field E of (7c) the calculating massif D difference simulation model in region site to be predictedS-TMWith fringe magnetic field HS-TM
Using integral equation, pass through the electric current J on each line segment grid in massif D difference simulation modelFTMWith magnetic current MFTM, calculate Scattering electric field E of the massif D difference simulation model in region site to be predictedS-TMWith fringe magnetic field HS-TM
(8) mountain three-dimensional model is obtained in region site field distribution E to be predictedTOTWith Distribution of Magnetic Field HTOT
By ES-I、ES-TEAnd ES-TMIt is overlapped, obtains mountain three-dimensional model in region site field distribution E to be predictedTOT:ETOT =ES-I+ES-TE+ES-TM, by HS-I、HS-TEAnd HS-TMIt is overlapped, obtains mountain three-dimensional model in site magnetic in region to be predicted Field distribution HTOT:HTOT=HS-I+HS-TE+HS-TM
2. the mountain area electromagnetic field prediction technique according to claim 1 based on three-dimensional moment method and two-dimentional Fast Multiple Method, It is characterized in that, the solution dense matrix equation described in step (4a), using dense matrix solver.
3. the mountain area electromagnetic field prediction technique according to claim 1 based on three-dimensional moment method and two-dimentional Fast Multiple Method, It is characterized in that, calculating the electric current J and magnetic current M on each curved surface of fritter massif three-dimensional simulation model described in step (4b), calculate Formula is respectively:
Wherein fn(r) it is basic function, η0For the wave impedance in free space, InFor electric current basic function coefficient vector, MnFor magnetic current base Function coefficients vector.
4. the mountain area electromagnetic field prediction technique according to claim 1 based on three-dimensional moment method and two-dimentional Fast Multiple Method, It is characterized in that, the scattering electric field E calculated in Gauss integration sample point coordinate described in step (4c)S-GWith fringe magnetic field HS-G And the scattering electric field E of magnetic distribution region to be predicted siteS-IWith fringe magnetic field HS-I, calculation formula is respectively:
Wherein, J is the electric current on each curved surface, and M is the magnetic current on each curved surface, and j is imaginary unit, and k is medium space wave number, η0For Free space wave impedance, r ' are source point coordinate, and R is distance of the site to source point, and G (R) is free space Green's function.
5. the mountain area electromagnetic field prediction technique according to claim 1 based on three-dimensional moment method and two-dimentional Fast Multiple Method, It is characterized in that, the electric current J calculated in massif D difference simulation model on each line segment grid described in step (6b)FTEAnd magnetic Flow MFTE, calculation formula is respectively:
Wherein,For basic function, η0For the wave impedance in free space,For electric current basic function coefficient vector,For Magnetic current basic function coefficient vector.
6. the mountain area electromagnetic field prediction technique according to claim 1 based on three-dimensional moment method and two-dimentional Fast Multiple Method, It is characterized in that, described in step (6c) calculate massif D difference simulation model region site to be predicted scattering electric field ES-TEWith fringe magnetic field HS-TE, calculation formula is respectively:
Wherein,JFTEFor the electric current on each line segment grid, MFTEFor the magnetic current on each line segment grid, j is Imaginary unit, k are free space wave number, η0For free space wave impedance, ρ ' is source point coordinate, and ρ is site coordinate,It is Two class zeroth order Hankel functions.
7. the mountain area electromagnetic field prediction technique according to claim 1 based on three-dimensional moment method and two-dimentional Fast Multiple Method, It is characterized in that, the electric current J calculated in massif D difference simulation model on each line segment grid described in step (7b)FTMAnd magnetic Flow MFTM, calculation formula is respectively:
Wherein,For basic function, η0For the wave impedance in free space,For electric current basic function coefficient vector,For Magnetic current basic function coefficient vector.
8. the mountain area electromagnetic field prediction technique according to claim 1 based on three-dimensional moment method and two-dimentional Fast Multiple Method, It is characterized in that, described in step (7c) calculate massif D difference simulation model region site to be predicted scattering electric field ES-TMWith fringe magnetic field HS-TM, calculation formula is respectively:
Wherein,JFTMFor the electric current on each line segment grid, MFTMFor the magnetic current on each line segment grid, j is Imaginary unit, k are free space wave number, η0For free space wave impedance, ρ ' is source point coordinate, and ρ is site coordinate,It is Two class zeroth order Hankel functions.
CN201810193564.XA 2018-03-09 2018-03-09 Mountain area electromagnetic field prediction technique based on three-dimensional moment method and two-dimentional Fast Multiple Method Active CN108446471B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810193564.XA CN108446471B (en) 2018-03-09 2018-03-09 Mountain area electromagnetic field prediction technique based on three-dimensional moment method and two-dimentional Fast Multiple Method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810193564.XA CN108446471B (en) 2018-03-09 2018-03-09 Mountain area electromagnetic field prediction technique based on three-dimensional moment method and two-dimentional Fast Multiple Method

Publications (2)

Publication Number Publication Date
CN108446471A true CN108446471A (en) 2018-08-24
CN108446471B CN108446471B (en) 2019-10-25

Family

ID=63193865

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810193564.XA Active CN108446471B (en) 2018-03-09 2018-03-09 Mountain area electromagnetic field prediction technique based on three-dimensional moment method and two-dimentional Fast Multiple Method

Country Status (1)

Country Link
CN (1) CN108446471B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109740265A (en) * 2019-01-07 2019-05-10 西安电子科技大学 Electromagnetic environment Tendency Prediction method outside city room based on MoM-UTD
CN110929375A (en) * 2019-10-17 2020-03-27 中国科学院电子学研究所 Efficient lens simulation and optimization method based on two-dimensional moment method and ray tracing method
CN113297763A (en) * 2021-05-24 2021-08-24 北京航空航天大学 Near-field data rapid lossless compression storage method suitable for moment method
CN113989440A (en) * 2021-11-09 2022-01-28 北京航空航天大学 Point fast matching method suitable for moment method

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6714008B1 (en) * 2002-07-29 2004-03-30 The United States Of America As Represented By The Secretary Of The Navy Gradiometric measurement methodology for determining magnetic fields of large objects
CN1858937A (en) * 2006-04-30 2006-11-08 西安电子科技大学 Automatic lattice dividing method for analyzing multiple antenna and scatterer structure by method of moment
CN102156764A (en) * 2010-12-27 2011-08-17 南京理工大学 Multi-resolution precondition method for analyzing aerial radiation and electromagnetic scattering
US20140040836A1 (en) * 2012-07-31 2014-02-06 Taiwan Semiconductor Manufacturing Company Limited Graded dummy insertion
CN105045033A (en) * 2015-02-10 2015-11-11 北京理工大学 Quick three-dimensional mask diffraction near-field calculation method based on sample library and data fitting
CN105354421A (en) * 2015-11-06 2016-02-24 吉林大学 Magnetotelluric meshless numerical simulation method for random conductive medium model
CN105354368A (en) * 2015-10-12 2016-02-24 中国舰船研究设计中心 Method for quickly predicting directional diagram of microwave antenna under occlusion of near-field complex barrier
CN106294284A (en) * 2016-08-26 2017-01-04 河海大学 Rainfall KPT Scatter computing accelerated method based on frequency angle two-dimensional mixing interpolation
CN107121624A (en) * 2017-04-27 2017-09-01 国网电力科学研究院武汉南瑞有限责任公司 Partial discharge detection multi-drop arrangement and localization method based on moment method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6714008B1 (en) * 2002-07-29 2004-03-30 The United States Of America As Represented By The Secretary Of The Navy Gradiometric measurement methodology for determining magnetic fields of large objects
CN1858937A (en) * 2006-04-30 2006-11-08 西安电子科技大学 Automatic lattice dividing method for analyzing multiple antenna and scatterer structure by method of moment
CN102156764A (en) * 2010-12-27 2011-08-17 南京理工大学 Multi-resolution precondition method for analyzing aerial radiation and electromagnetic scattering
US20140040836A1 (en) * 2012-07-31 2014-02-06 Taiwan Semiconductor Manufacturing Company Limited Graded dummy insertion
CN105045033A (en) * 2015-02-10 2015-11-11 北京理工大学 Quick three-dimensional mask diffraction near-field calculation method based on sample library and data fitting
CN105354368A (en) * 2015-10-12 2016-02-24 中国舰船研究设计中心 Method for quickly predicting directional diagram of microwave antenna under occlusion of near-field complex barrier
CN105354421A (en) * 2015-11-06 2016-02-24 吉林大学 Magnetotelluric meshless numerical simulation method for random conductive medium model
CN106294284A (en) * 2016-08-26 2017-01-04 河海大学 Rainfall KPT Scatter computing accelerated method based on frequency angle two-dimensional mixing interpolation
CN107121624A (en) * 2017-04-27 2017-09-01 国网电力科学研究院武汉南瑞有限责任公司 Partial discharge detection multi-drop arrangement and localization method based on moment method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
ANDREW J. HESFORD ETC.: "《On Preconditioning and the Eigensystems of Electromagnetic Radiation Problems》", 《IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION》 *
朱湘琴等: "《垂直极化平行板有界波电磁脉冲模拟器辐射近场的快速估算方法》", 《强激光与粒子束》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109740265A (en) * 2019-01-07 2019-05-10 西安电子科技大学 Electromagnetic environment Tendency Prediction method outside city room based on MoM-UTD
CN109740265B (en) * 2019-01-07 2023-01-06 西安电子科技大学 Urban outdoor electromagnetic environment situation prediction method based on MoM-UTD
CN110929375A (en) * 2019-10-17 2020-03-27 中国科学院电子学研究所 Efficient lens simulation and optimization method based on two-dimensional moment method and ray tracing method
CN113297763A (en) * 2021-05-24 2021-08-24 北京航空航天大学 Near-field data rapid lossless compression storage method suitable for moment method
CN113297763B (en) * 2021-05-24 2021-12-10 北京航空航天大学 Near-field data rapid lossless compression storage method suitable for moment method
CN113989440A (en) * 2021-11-09 2022-01-28 北京航空航天大学 Point fast matching method suitable for moment method
CN113989440B (en) * 2021-11-09 2022-05-13 北京航空航天大学 Point fast matching method suitable for moment method

Also Published As

Publication number Publication date
CN108446471B (en) 2019-10-25

Similar Documents

Publication Publication Date Title
CN108446471B (en) Mountain area electromagnetic field prediction technique based on three-dimensional moment method and two-dimentional Fast Multiple Method
Wang et al. Multisolver domain decomposition method for modeling EMC effects of multiple antennas on a large air platform
Botha et al. On the variational formulation of hybrid finite element-boundary integral techniques for electromagnetic analysis
Yang et al. Novel extension of SBR–PO method for solving electrically large and complex electromagnetic scattering problem in half-space
CN103278848B (en) The seismic imaging forward modeling method of the fore condition iteration that walks abreast based on MPI
Nakano et al. Single precision in the dynamical core of a nonhydrostatic global atmospheric model: Evaluation using a baroclinic wave test case
Li et al. Dosimetry of infant exposure to power‐frequency magnetic fields: Variation of 99th percentile induced electric field value by posture and skin‐to‐skin contact
Perrin et al. Using a design-of-experiment technique to consider the wire harness load impedances in the FDTD model of an aircraft struck by lightning
Liu et al. Three-dimensional magnetotellurics modeling using edgebased finite-element unstructured meshes
US10302684B2 (en) Method for determining electric field and related applications
CN109783829B (en) Electromagnetic field prediction method for three-dimensional FEM (field emission modeling) and two-dimensional FMM (frequency modulation modeling)
CN113033052B (en) Electromagnetic rapid numerical modeling method for honeycomb wave-absorbing structure
CN104778286B (en) Sea skimming device Electromagnetic Scattering Characteristics rapid simulation method
Torres et al. Effects of the smoothness of partitions of unity on the quality of representation of singular enrichments for GFEM/XFEM stress approximations around brittle cracks
CN105205299B (en) The quick Dimension Reduction Analysis method of TV university electromagnetic characteristic of scattering
Zhao et al. Numerical approach for the sensitivity of a high-frequency magnetic induction tomography system based on boundary elements and perturbation method
CN109212498B (en) Rapid algorithm for radar scattering cross section of airplane formation
Yang et al. An enriched edge-based smoothed FEM for linear elastic fracture problems
Sabariego et al. Fast multipole acceleration of the hybrid finite-element/boundary-element analysis of 3-D eddy-current problems
Alotto et al. A boundary integral formulation on unstructured dual grids for eddy-current analysis in thin shields
CN104091023B (en) A kind of method for applying specification in electromagnetic field seamed edge elements method
Chen et al. Parallel DGTD method for transient electromagnetic problems
Wang et al. Edge diffraction in NURBS-UTD method
JP3703812B2 (en) Electromagnetic field analysis method using FDTD method, medium expression method in electromagnetic field analysis, simulation apparatus, and program
Gómez-Sousa et al. Junction modeling for piecewise non-homogeneous geometries involving arbitrary materials

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant