CN109489485A - A kind of adaptive super surface electromagnetism stealth clothing system and its working method - Google Patents
A kind of adaptive super surface electromagnetism stealth clothing system and its working method Download PDFInfo
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- CN109489485A CN109489485A CN201811436158.8A CN201811436158A CN109489485A CN 109489485 A CN109489485 A CN 109489485A CN 201811436158 A CN201811436158 A CN 201811436158A CN 109489485 A CN109489485 A CN 109489485A
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F41—WEAPONS
- F41H—ARMOUR; ARMOURED TURRETS; ARMOURED OR ARMED VEHICLES; MEANS OF ATTACK OR DEFENCE, e.g. CAMOUFLAGE, IN GENERAL
- F41H3/00—Camouflage, i.e. means or methods for concealment or disguise
- F41H3/02—Flexible, e.g. fabric covers, e.g. screens, nets characterised by their material or structure
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Abstract
The invention discloses a kind of adaptive super surface electromagnetism stealth clothing systems and its working method, which includes resonance modules, detecting module, deep learning module, voltage control module；Resonance modules, for seamless spliced at invisible clothes；Voltage chips module, for providing DC offset voltage for resonance modules；Detecting module, for detect electromagnetic wave incidence wave information and invisible clothes locating for environmental background information；Deep learning module for receiving the information of detecting module detection, and calculates bias voltage value required for resonant element, and control voltage chips module provides corresponding DC offset voltage.It is stealthy in real time that the present invention can initiatively adjust inner parameter realization according to different incidence wave information and environmental background information, it does not need artificially to interfere the all-wave numerical simulation with a large amount of time and effort consumings, it is high-efficient, reaction speed is sensitive, can be widely applied to microwave frequency band and the scene high to requirement of real-time.
Description
Technical field
The invention belongs to the stealthy fields of electromagnetic wave, and in particular to a kind of adaptive super surface electromagnetism stealth clothing system and its
Working method.
Background technique
In biological evolution, stealthy is a kind of advanced self-protection mode.For example, the siphonopods such as chameleon, octopus are dynamic
Object keeps it consistent with background color is inhabited by the color of change body；The anti-of light can be greatly reduced in the wing of clearwing butterfly
It penetrates, predator is allowed to be difficult to find.Importantly, these animal pests can initiatively adjust body according to different external environments
Body internal microstructure achievees the purpose that real-time ' stealthy '.
The mankind also thirst for always possessing stealth capabilities.The therefrom Harry Potter of state's masterpiece Journey to the West till now, people for
Stealthy fine illusion never rests.Traditional stealth technology is by applying various functional materials in body surface, to reach
To loss or diffusing scattering radar wave and the purpose of inhibition target surface infrared intensity.But these stealthy coating materials are
Based on wave principle construction is inhaled, it can only evade the radar detection of single base station, and cannot be stealthy simultaneously to more base station radars, it is not
It is really stealthy.In recent years, scientists have been successfully realized microwave section with the development of transform optics and material science
To the stealthy of optical band, potential physical principle mainly has transform optics, scattering cancellation and super surface.
Formal fixity of the transform optics based on Maxwell equation, regulation light are bypassed by hidden substance, theoretically not
Generate any electromagnetic scattering.Experimentally, the effective electromagnetic parameter for meeting transform optics requirement can be constructed using anisotropic media,
These anisotropic medias are arranged around by hidden substance according still further to certain rule space.Scattering cancellation is to wrap up plasma
It will be offseted each other by the dipole on hidden substance surface, excitation, so that scattered field is substantially reduced, to realize internal object
Body is stealthy.Super surface is to be covered on sub-wavelength resonant element by hidden substance surface, by adjusting the anti-of each resonant element
Phase is penetrated, the scattered field for generating the barrier for being covered with invisible clothes is as the scattered field without generating when barrier.This three
The instantly popular invisible method of kind has respective advantage and disadvantage, applied to different scenes.For example, transform optics is to electromagnetic parameter
It is required that it is very harsh, implement difficulty；Anisotropic media can only operate in very narrow since big in optical band loss and dispersion is violent
Microwave frequency band.
Scientists often rely on all-wave numerical simulation when designing invisible clothes to probe into the complexity of artificial micro-structure and light
Interactively, this method time and effort consuming, be mainly reflected in it is following three aspect: first, all-wave numerical simulation be one repeatedly
The process of iteration Maxwell equation is solved, itself elapsed time is long, working efficiency is low；Second, scientists generally require
Exhaustion simultaneously emulates every kind of possible micro-structure, and the micro-structure finally used, this working method are finally determined according to simulation result
Dull, task amount is very big and generally requires to do many idle works；The interactively of third, material structure and light has strong
Strong non-linear, small structural adjustment may bring completely different result, it means that the micro-structure finally used is not
It must be global optimum.In addition to this, these invisible clothes once design and produce completion, can only operate in set environmental pattern
Under.When being changed by outside stimulus or locating environmental background, Stealth Fighter can be lost, that is, lack as chameleon in nature
The same adaptivity.
Summary of the invention
The purpose of the present invention is what is be achieved through the following technical solutions.
A kind of adaptive super surface electromagnetism stealth clothing system, including resonance modules, detecting module, deep learning module,
Voltage control module；
Resonance modules, for seamless spliced at invisible clothes；
The voltage chips module, for providing DC offset voltage for the resonance modules；
The detecting module, for detect electromagnetic wave incidence wave information and invisible clothes locating for environmental background information；
The deep learning module for receiving the information of the detecting module detection, and calculates the resonant element
Required bias voltage value controls the voltage chips module and provides corresponding DC offset voltage.
Further, the resonance modules include the active resonant element of sub-wavelength, multiple active resonance lists of sub-wavelength
Member is seamless spliced, and the active resonant element of sub-wavelength includes three layers: upper layer is resonance structure, and middle layer is low-loss medium,
Lower layer is metal.
Further, it is welded with varactor on resonance structure, by load DC offset voltage in the transfiguration two
Pole pipe is to regulate and control reflectance spectrum.
Further, the active resonant cell dimension of sub-wavelength is less than working electromagnet wave wavelength.
Further, resonance structure is the metal of various shapes.
Further, varactor regulates and controls reflectance spectrum, changes the active resonant element of each sub-wavelength anti-
Ejected wave phase meets following condition:
Δ φ=180 ° -2kbhcos(θ)
Wherein, Δ φ indicates that the reflection wave phase of the change needed, θ indicate that the working electromagnet wave of invisible clothes and horizontal plane press from both sides
The complementary angle at angle, h indicate the height of the geometrical center to center of the active resonant element of sub-wavelength from the ground, kbIndicate the work electricity of invisible clothes
Magnetic wave wave number.
Further, the reflection wave phase modification scope of the active resonant element of sub-wavelength is -180 ° to 180 °.
Further, deep learning module is using stochastic gradient algorithm or variable learning rate arithmetic to deep learning module
It is trained.
A kind of working method of adaptive super surface electromagnetism stealth clothing system, this method comprises:
It first collects under different incidence wave information and environmental background information, all varactors need straight in invisible clothes
Flow bias voltage value；
By incidence wave information and environmental background information input into deep learning model, back-propagating and stochastic gradient are utilized
Algorithm algorithm or variable learning rate arithmetic are trained each neuron intensity, obtain trained deep learning model；
The trained deep learning model can be arbitrary incidence wave information and environmental background information to input, calculate all changes
Hold the DC offset voltage value that diode needs, control voltage chips provide corresponding direct current biasing electricity to the varactor
Pressure.
The present invention has the advantages that a kind of adaptive super surface electromagnetism stealth clothing system and method provided by the invention,
Simple light, it is economical and practical, it can be with the object of stealthy arbitrary shape and size；Resonant cell dimension is less than working electromagnet wave wave
Long, flexible design, reflectance spectrum can freely regulate and control.On the other hand, adaptive super surface invisible clothes can enter according to different
Ejected wave information and environmental background information initiatively adjust inner parameter and realize stealthy in real time, do not need artificially to interfere and a large amount of time-consuming
Laborious all-wave numerical simulation, high-efficient, reaction speed is sensitive, can be widely applied to microwave frequency band and high to requirement of real-time
Scene.
Detailed description of the invention
By reading the detailed description of following detailed description, various other advantages and benefits are common for this field
Technical staff will become clear.Attached drawing is only used for showing the purpose of specific embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Attached drawing 1 shows the invisible clothes system diagram of embodiment according to the present invention；
Attached drawing 2 shows the structural schematic diagram of the resonant element of embodiment according to the present invention；
Attached drawing 3 shows the structure top view of the resonant element of embodiment according to the present invention；
Attached drawing 4 shows the adaptive super surface invisible clothes schematic diagram of embodiment according to the present invention；
Stealth effect when attached drawing 5 shows the electromagnetic wave incident of embodiment according to the present invention to super surface invisible clothes shows
It is intended to；
Attached drawing 6 shows the electromagnetic wave incident of embodiment according to the present invention to the obstacle for being not covered with super surface invisible clothes
Scattering schematic diagram when object；
Attached drawing 7 shows the invisible clothes method flow diagram of embodiment according to the present invention.
Specific embodiment
The illustrative embodiments of the disclosure are more fully described below with reference to accompanying drawings.Although showing this public affairs in attached drawing
The illustrative embodiments opened, it being understood, however, that may be realized in various forms the disclosure without the reality that should be illustrated here
The mode of applying is limited.It is to be able to thoroughly understand the disclosure on the contrary, providing these embodiments, and can be by this public affairs
The range opened is fully disclosed to those skilled in the art.
Electromagnetic wave refer to by in-phase oscillation and mutually perpendicular electric field and magnetic field in space in the form of cyclic swing into
A kind of wave of row energy and momentum transmitting.Electromagnetic wave frequency range from low to high be respectively radio wave, microwave, infrared ray, visible light,
Ultraviolet light, X-ray and gamma ray.When electromagnetic wave encounters barrier, back wave can disorder.If by provided by the invention one
The adaptive super surface invisible clothes of kind are covered on barrier, when electromagnetic wave incident, dissipating when scattered field is with without barrier
It penetrates as field, always realizes stealthy.Importantly, adaptive super surface invisible clothes can be according to different incidence wave information and ring
Border background, it is actively stealthy in real time, it does not need artificially to interfere the all-wave numerical simulation with a large amount of time and effort consumings.
Embodiment according to the present invention proposes a kind of adaptive super surface electromagnetism stealth clothing system, as shown in Figure 1,
Including resonance modules, detecting module, deep learning module, voltage control module；The resonance modules, for seamless spliced at hidden
Body clothing；The voltage chips module, for providing DC offset voltage for the resonance modules；The detecting module, for visiting
Survey environmental background information locating for incidence wave information and invisible clothes；The deep learning module, for receiving the detecting module
The information of detection, and bias voltage value required for the resonant element is calculated, it controls the voltage chips module and phase is provided
The DC offset voltage answered.
As shown in Fig. 2, resonance modules include the active resonant element of sub-wavelength, multiple active resonant elements of sub-wavelength without
Seam splicing, the active resonant element of sub-wavelength include three layers: upper layer is resonance structure 3, and middle layer is low-loss medium 2, under
Layer is metal 1.
As shown in figure 3, varactor 4 is welded on resonance structure 3, by load DC offset voltage in the transfiguration
Diode 4, and then regulate and control the reflectance spectrum (including reflection amplitudes and phase) of the entire active resonant element of sub-wavelength.Resonant element
Size is less than working electromagnet wave wavelength.Resonance structure is the metal of various shapes, is not limited to Fig. 2 and Fig. 3, can also use and divide
The H-type split, the metal patterns such as annulus.
The side of the signified seamless spliced side for referring to the active resonant element of sub-wavelength and adjacent resonant element of the invention
Between be stitched together by the modes such as bonding or fitting closely, always form a seamless entirety.Therefore, for arbitrary shape
Shape size by hidden substance, can all be formed by the active resonant element arrangement splicing of many sub-wavelengths by hidden substance surface
The super surface invisible clothes of sealing.
" the reflection wave phase of change " and working electromagnet wave that each phase shift resonance unit in super surface invisible clothes needs
Wave number, polarization, incident angle it is related with locating environmental background.
Can be by applying certain DC offset voltage in two pole of transfiguration, 4 pipe both ends, varactor regulates and controls reflectance spectrum,
The reflection wave phase of the change of each resonant element is set to meet condition shown in formula (1):
Δ φ=180 ° -2kbhcos(θ) (1)
In formula (1), Δ φ indicates that the reflection wave phase of the change needed, θ indicate the working electromagnet wave and level of invisible clothes
The complementary angle of face angle, h indicate the height of the geometrical center to center of resonant element from the ground, kbIndicate the working electromagnet wave wave of invisible clothes
Number.
The reflected phase modification scope of resonant element is -180 ° to 180 °.
Traditionally, first with the reflectance spectrum of resonant element under the exhaustive every kind of DC offset voltage of electromagnetic simulation software, then needle
To specific incidence wave form and environmental background, from magnanimity reflectance spectrum data, changing for each resonant element theory needs is found
The corresponding DC offset voltage value of reflected phase Δ φ of change.This method time and effort consuming, dull, low efficiency does not have
Practicability.
Neural network is a kind of imitation animal nerve unit behavioural characteristic, carries out the algorithm mathematics of distributed parallel information processing
Model.It is a kind of multilayer perceptron structure, is made of several layers neuron, includes one or more other than input and output layer
A intermediate hidden layer.Neural network can be used to analyze and excavate potential complex relationship between mass data, extensively at present
It applies in image classification, the every field such as speech recognition and problem decision.The present invention realizes one kind using the method for deep learning
Adaptive super surface invisible clothes, export as incidence wave information (different incoming electromagnetic wave numbers, incident angle and polarization of ele)
With environmental background information (rough landform, electromagnetic parameter of local environment etc.), exporting is needed for all varactors 4
The DC offset voltage value wanted.As shown in figure 3, implementation steps are as follows: it first collects under different incidence wave information and environmental background, it is hidden
The DC offset voltage value that all varactors 4 need in body clothing；The data being collected into are brought into the depth of building again
It practises in module 9, each neuron intensity is trained using stochastic gradient algorithm or variable learning rate arithmetic；Finally train
Good neural network can rapidly and accurately calculate all need to when input is arbitrary incidence wave information and environmental background information
The DC offset voltage value wanted, calculating speed can satisfy applied field mostly high to requirement of real-time in millisecond rank
Scape.
One embodiment of deep learning module is as follows:
There is d input neuron, l output neuron, the multilayer feedforword net that q hidden layer neuron is constituted with one
For network structure, the implementation steps of deep learning are specifically shown.Assuming that the input variable of kth time isOutput isWhereinTreated for expression nondimensionalization outside
Portion's stimulation and environmental background information,Indicate bias voltage value.H-th of nerve in i-th of neuron and hidden layer in input layer
Synaptic strength between member is denoted as vih, synaptic strength in hidden layer in h-th of neuron and output layer between j-th of neuron
It is denoted as whj.Therefore, the input of h-th of neuron is represented by hidden layerJ-th of nerve in output layer
The input of member is represented by The two inputs are first individually subtractedWithIt is non-linear sharp using one
Function processing living.Indicate the threshold values of h-th of neuron in hidden layer,Indicate the threshold values of j-th of neuron in output layer, it is non-
Linear activation primitive includes Sigmoid, Tanh and ReLu etc., here using classical Sigmoid functionFor
Example.
In propagated forward, the output being calculated is Indicate that neural computing obtains
The bias voltage value arrived meetsInside neural network, the output of h-th of neuron in hidden layer
ForThe purpose of deep learning is minimized to minimize global errorIts
Middle m is total number of training, and E is global error, EkIt is the mean square error in kth time circulation
In back-propagating, stochastic gradient algorithm or variable learning rate arithmetic are the algorithms of widely used trained neural network.
Here by taking stochastic gradient algorithm as an example, in each round circulation, parameter whj, vih, γh, θjAll along the negative gradient direction of target
It is updated.For example, the error E obtained in kth time circulationk, learning rate η is given, there is more new formula:
Wherein, whjIndicate the synaptic strength in hidden layer in h-th of neuron and output layer between j-th of neuron, vih
Indicate the synaptic strength in input layer in i-th of neuron and hidden layer between h-th of neuron,Indicate h in hidden layer
The threshold values of a neuron,Indicate the threshold values of j-th of neuron in output layer, expression formulaWithMeet:
As shown in figure 4, detecting module 5 detects environmental background information locating for incidence wave information and invisible clothes, and it is transferred to
Neural network model, neural network quick and precisely calculate the DC offset voltage that each varactor 4 needs in invisible clothes
Corresponding voltage is supplied to varactor 4 again by value, voltage control module 6.This stealthy working method can be to different
Environmental stimuli and environmental background progress are active stealthy, and the reaction time is short (millisecond rank), high sensitivity, have height adaptive
Property.Wherein, 7. transmitting antenna is indicated；8. indicating receiving antenna.
As shown in figure 5, when plane electromagnetic wave impinges perpendicularly on the irregular metal barrier for being covered with super surface invisible clothes
On, reflection electromagnetic wave beam 11a-11e is parallel to each other and reflects back according to former road, illustrates that the amplitude-phase of its back wave keeps one
It causes, as reflection configuration when with without barrier metallization.More importantly, when change incidence wave type (incoming electromagnetic wave number,
Wave number and polarization of ele) or locating environmental background (rough landform, electromagnetic parameter of local environment etc.), it is deep
Degree study module will be updated out one group of new bias voltage value, and be provided by voltage control module 6, that is, realize to metal obstacle
Object it is real-time stealthy.
On the contrary, back wave can disorder when electromagnetic wave is directly incident on the barrier for being not covered with invisible clothes.Such as Fig. 6
Shown, in electromagnetic wave vertical incidence to barrier metallization 14,13a-13e indicates anti-on electromagnetic wave incident to barrier metallization 14
Ejected wave.The direction of the propagation characteristic of electromagnetic beam at these ray representation present positions, ray indicates ray present position
The direction of propagation of energy of electromagnetic beam.Can be clearly seen that by Fig. 6, back wave is disorderly and unsystematic, therefore barrier be easy to by
It detects.
A kind of working method of adaptive super surface electromagnetism stealth clothing system, as shown in fig. 7, this method comprises:
It first collects under different incidence wave information and environmental background information, all varactors need straight in invisible clothes
Flow bias voltage value；By incidence wave information and environmental background information input into deep learning model, using back-propagating and with
Machine gradient algorithm or variable learning rate arithmetic are trained each neuron intensity, obtain trained deep learning mould
Type；The trained deep learning model can be arbitrary incidence wave information and environmental background information to input, calculate institute
The DC offset voltage value for having varactor to need, it is inclined that control voltage chips provide corresponding direct current to the varactor
Set voltage.
A kind of adaptive super surface electromagnetism stealth clothing system and its working method, the invisible clothes provided by the invention are simple
It is light, it is economical and practical, it can be with the object of stealthy arbitrary shape and size；Resonant cell dimension is less than working electromagnet wave wavelength, if
Flexibly, reflectance spectrum can freely regulate and control meter.On the other hand, adaptive super surface invisible clothes can be believed according to different incidence waves
Breath and environmental background information initiatively adjust inner parameter and realize stealthy in real time, do not need artificially to interfere and a large amount of time and effort consumings
All-wave numerical simulation, high-efficient, reaction speed is sensitive, can be widely applied to microwave frequency band and the scene high to requirement of real-time.
More than, illustrative specific embodiment only of the invention, but scope of protection of the present invention is not limited thereto, appoints
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of, all by what those familiar with the art
It is covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (9)
1. a kind of adaptive super surface electromagnetism stealth clothing system, which is characterized in that including resonance modules, detecting module, depth
Study module, voltage control module；
The resonance modules, for seamless spliced at invisible clothes；
The voltage chips module, for providing DC offset voltage for the resonance modules；
The detecting module, for detect electromagnetic wave incidence wave information and invisible clothes locating for environmental background information；
The deep learning module calculates required for the resonant element for receiving the information of the detecting module detection
Bias voltage value, and control the voltage chips module and corresponding DC offset voltage be provided.
2. invisible clothes system as described in claim 1, which is characterized in that the resonance modules include the active resonance list of sub-wavelength
Member, multiple active resonant elements of sub-wavelength are seamless spliced, and the active resonant element of sub-wavelength includes three layers: upper layer is humorous
Vibration structure, middle layer are low-loss medium, and lower layer is metal.
3. invisible clothes system as claimed in claim 2, which is characterized in that it is welded with varactor on the resonance structure,
By load DC offset voltage in the varactor to regulate and control reflectance spectrum.
4. invisible clothes system as claimed in claim 2, which is characterized in that the active resonant cell dimension of sub-wavelength is less than work
Make electromagnetic wavelength.
5. invisible clothes system as claimed in claim 3, which is characterized in that the resonance structure is the metal of various shapes.
6. invisible clothes system as claimed in claim 3, which is characterized in that the varactor regulates and controls reflectance spectrum, makes every
The reflection wave phase that a active resonant element of the sub-wavelength changes meets following condition:
Δ φ=180 ° -2kbhcos(θ)
Wherein, Δ φ indicates that the reflection wave phase of the change needed, θ indicate the working electromagnet wave angle with horizontal plane of invisible clothes
Complementary angle, h indicate the height of the geometrical center to center of the active resonant element of sub-wavelength from the ground, kbIndicate the working electromagnet wave of invisible clothes
Wave number.
7. invisible clothes system as claimed in claim 6, which is characterized in that the back wave phase of the active resonant element of sub-wavelength
Position modification scope is -180 ° to 180 °.
8. invisible clothes system as described in claim 1, which is characterized in that the deep learning module utilizes stochastic gradient algorithm
Or variable learning rate arithmetic is trained deep learning module.
9. a kind of working method of the adaptive super surface electromagnetism stealth clothing system of any one of claim 1-8, feature
It is, this method comprises:
It first collects under different incidence wave information and environmental background information, the direct current that all varactors need in invisible clothes is inclined
Set voltage value；
By incidence wave information and environmental background information input into deep learning model, back-propagating and stochastic gradient algorithm are utilized
Or variable learning rate arithmetic is trained each neuron intensity, obtains trained deep learning model；The training
Good deep learning model can be arbitrary incidence wave information and environmental background information to input, calculate all varactors
The DC offset voltage value needed, control voltage chips provide corresponding DC offset voltage to the varactor.
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| CN110110398A (en) * | 2019-04-19 | 2019-08-09 | 西安工程大学 | A kind of super surface automatic design method based on convolution self-encoding encoder |
| CN110457864A (en) * | 2019-08-27 | 2019-11-15 | 西安电子科技大学 | It is a kind of to consider that interactive core wire boxing interconnects mechanical-electric coupling parameter identification method |
| CN111142081A (en) * | 2020-04-07 | 2020-05-12 | 湖南赛博诺格电子科技有限公司 | Radar self-adaptive camouflage method based on digital coding super surface |
| CN111428407A (en) * | 2020-03-23 | 2020-07-17 | 杭州电子科技大学 | Electromagnetic scattering calculation method based on deep learning |
| CN112928484A (en) * | 2021-01-26 | 2021-06-08 | 南京航空航天大学 | Low-RCS (Radar Cross section) coding super-surface antenna capable of dynamically regulating and controlling scattering performance and design method thereof |
| CN113506992A (en) * | 2021-05-31 | 2021-10-15 | 中国人民解放军空军工程大学 | Concave-convex curved carpet stealth coat and design method thereof |
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| CN113670130A (en) * | 2021-09-01 | 2021-11-19 | 东南大学 | Intelligent Doppler stealth coat working in broadband full polarization |
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