CN112069713A - Near-field scattering characteristic modeling method, electronic device and storage medium - Google Patents
Near-field scattering characteristic modeling method, electronic device and storage medium Download PDFInfo
- Publication number
- CN112069713A CN112069713A CN202010947214.5A CN202010947214A CN112069713A CN 112069713 A CN112069713 A CN 112069713A CN 202010947214 A CN202010947214 A CN 202010947214A CN 112069713 A CN112069713 A CN 112069713A
- Authority
- CN
- China
- Prior art keywords
- field
- incident
- characteristic
- antenna
- receiving antenna
- 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
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Aerials With Secondary Devices (AREA)
- Variable-Direction Aerials And Aerial Arrays (AREA)
Abstract
The invention discloses a near-field scattering characteristic modeling method, electronic equipment and a storage medium, wherein the method comprises the following steps: and according to the curvature characteristic of the target geometric model, carrying out meshing on the target geometric model by adopting a non-uniform mesh generation method. And calculating an incident field incident to the surface of the target geometric model according to the radiation characteristic distribution of the transmitting antenna, wherein the field intensity of the incident field tracks each incident ray until the incident ray exits. And acquiring the near-field scattering characteristic contribution of each emergent ray at the position of the receiving antenna by combining the polarization mode of the receiving antenna according to the radiation characteristic distribution of the receiving antenna. The method considers the polarization component of the incident wave and the receiving characteristic of the receiving antenna, obtains the near field characteristic including the radial component, perfects the near field information, and is an accurate and efficient simulation technical means.
Description
Technical Field
The invention relates to the technical field of radar target characteristic simulation, in particular to a near-field scattering characteristic modeling method, electronic equipment and a storage medium.
Background
The near-field scattering characteristic simulation calculation is significant in reality and is widely applied to short-distance detection and automatic driving. In the near-field scattering characteristic simulation, the introduced antenna directional diagram is mainly used as the main simulation calculation at present, the polarization characteristic of incident waves and the receiving characteristic of receiving antennas are ignored, and the calculation accuracy needs to be improved urgently.
Disclosure of Invention
The invention aims to provide a near-field scattering characteristic modeling method, an electronic device and a storage medium, and aims to improve the calculation accuracy of near-field scattering characteristic simulation.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
a method of modeling near-field scattering properties, comprising: and step S1, carrying out mesh division on the target geometric model by adopting a non-uniform mesh division method according to the curvature characteristic of the target geometric model. And step S2, calculating an incident field incident to the surface of the target geometric model according to the radiation characteristic distribution of the transmitting antenna, wherein the field intensity of the incident field tracks each incident ray until the incident ray exits. Step S3, according to the radiation characteristic distribution of the receiving antenna, the near-field scattering characteristic contribution of each emergent ray at the position of the receiving antenna is obtained by combining the polarization mode of the receiving antenna.
Preferably, the step S2 includes: uniformly selecting incidence points on a vertical plane of a connecting line between the center of the target geometric model and the position of the transmitting antenna, and connecting the position of the transmitting antenna and the incidence points to be used as a propagation direction; and calculating the incident field by combining the far field distribution characteristic of the antenna and the propagation direction.
Preferably, an external spherical tangent plane with the target geometric model is selected as an incident plane for emitting the ray.
Preferably, the emitted radiation density interval at the incidence surface is λ 10, λ being the operating wavelength.
Preferably, according to the antenna far field characteristic distribution, the incident field incident to the target surface can be expressed as
In the formula, I and
respectively represent
Component sum
Amplitude of the component, r0Is a source point to field point vector, kiIs a wave vector, GTGain for the transmit antenna; the incident field contains two polarization components, and the gain characteristic in each direction is represented by GTAnd (4) determining.
Preferably, the receiving field in the receiving polarization mode of the receiving antenna is represented as:
wherein J (R ') and M (R') are equivalent current and equivalent magnetic current of the target surface, R is a position vector from a source point to a field point,
for electric polarization of the receiving antenna, GRGain for the receive antenna; the received field contains information of the polarization of the receiving antenna, the calculated Es(r) contains a radial component.
In another aspect, the present invention also provides an electronic device comprising a processor and a memory, the memory having stored thereon a computer program which, when executed by the processor, implements the method as described above.
In yet another aspect, the invention also relates to a readable storage medium, in which a computer program is stored which, when executed by a processor, implements the method of any one of claims 1 to 6.
Compared with the prior art, the invention has at least one of the following advantages:
the invention provides a near-field scattering characteristic modeling method, which comprises the following steps: and step S1, carrying out mesh division on the target geometric model by adopting a non-uniform mesh division method according to the curvature characteristic of the target geometric model. And step S2, calculating an incident field incident to the surface of the target geometric model according to the radiation characteristic distribution of the transmitting antenna, wherein the field intensity of the incident field tracks each incident ray until the incident ray exits. Step S3, according to the radiation characteristic distribution of the receiving antenna, the near-field scattering characteristic contribution of each emergent ray at the position of the receiving antenna is obtained by combining the polarization mode of the receiving antenna. Therefore, the near-field scattering characteristic modeling method provided by the invention considers the incident wave polarization component and the receiving characteristic of the receiving antenna, the obtained near-field characteristic comprises a radial component, the near-field information is perfected, and the method is an accurate and efficient simulation technical means.
In step S1, the non-uniform mesh generation method is used to perform mesh generation on the target geometric model, that is, the non-uniform mesh generation technique is used in the present invention, the generation size is not specified, and the minimum triangular patches approach the surface of the target entity, so that intersection between rays and triangles in the algorithm is rapidly realized, and the calculation efficiency of the high-frequency solver is accelerated.
And under the near-field condition, spherical waves are incident to the target surface, and in order to ensure that spherical wave rays are uniformly incident to the target surface, when the incident surface is selected, the target external spherical tangent plane is selected as the incident point of the spherical waves of the transmitting antenna.
The invention adopts the far-field distribution characteristic of the antenna as incident wave, and more accurately describes each component of the incident wave compared with the prior scalar directional diagram (
Component, component,
Component) to further approximate the antenna radiation characteristic.
When the receiving antenna is considered to receive emergent rays, the receiving polarization mode is introduced, so that the result of a receiving field is closer to the actual situation.
And the introduced receiving polarization mode generates the radial component of the receiving field when the receiving field is calculated, thereby perfecting the modeling of the receiving field.
Drawings
Fig. 1 is a flowchart of a near-field scattering property modeling method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an incident surface selecting a ray emission point according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of calculating a local coordinate system of a reception field according to an embodiment of the present invention;
fig. 4 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
As described in the background art, the existing near-field electromagnetic scattering characteristic simulation method ignores the polarization characteristic of the incident wave and the receiving characteristic of the receiving antenna, and the calculation accuracy is to be improved, which is specifically analyzed as follows:
in a Beijing environmental characteristic research patent 'a near-field electromagnetic scattering characteristic simulation method' (publication number: CN108445303A), electromagnetic scattering characteristic characterization parameters of a target under a near-field condition are calculated by combining a full-wave method, a multi-layer fast multipole and an antenna directivity pattern; in a patent of 'a near-field scattering simulation method for a super-electric large-size target' (publication number: CN110705058A), electronic science and technology university develops a rapid target near-field RCS simulation algorithm by combining a physical optical method and an antenna directional pattern; in the patent of 'a near-field RCS rapid measurement method based on high-resolution imaging' (publication number: CN105388473A), the northwest industrial university realizes high-resolution imaging by using a compressed sensing optimization reconstruction theory, greatly improves the measurement efficiency, and solves the problems of time consumption and large-scale test data storage of near-field RCS measurement.
Of the three patents, the first 2 patents mainly combine the antenna directional diagram with the high-frequency method or the full-wave method, respectively, to realize the simulation calculation of the near-field scattering characteristics, without considering the polarization characteristics of the incident wave and the receiving characteristics of the receiving antenna. In patent 3, the near-field RCS test is completed efficiently mainly from the test acquisition angle, and different modeling methods are used.
In the prior published literature, Hao Ling provides a method for rapidly acquiring Near-Field Scattering characteristics based on a Far-Field Scattering center in IEEE TAP (Near-Field Signature Prediction used Fan-Field Scattering center) and the method is greatly improved in calculation speed and seriously depends on a target Scattering mechanism in precision; in the application of the near-field target electromagnetic scattering property in the missile fuze published by the Shanghai radio research institute Chua Honghao on guidance and fuze, the main content and research method of the near-field target electromagnetic scattering property research to be carried out at each stage of air-defense missile development are provided. Mainly relates to a test technology, and is not mentioned in a modeling technology.
The following describes a near-field scattering property modeling method, an electronic device, and a storage medium according to embodiments of the present invention in detail with reference to fig. 1 to 4. The advantages and features of the present invention will become more apparent from the following description. It is to be noted that the drawings are in a very simplified form and are all used in a non-precise scale for the purpose of facilitating and distinctly aiding in the description of the embodiments of the present invention. To make the objects, features and advantages of the present invention comprehensible, reference is made to the accompanying drawings. It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the implementation conditions of the present invention, so that the present invention has no technical significance, and any structural modification, ratio relationship change or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention.
As shown in fig. 1, the method for modeling near-field scattering characteristics provided by this embodiment includes:
and step S1, carrying out mesh division on the target geometric model by adopting a non-uniform mesh division method according to the curvature characteristic of the target geometric model.
Specifically, on the mesh division, according to the curvature of the curved surface of the target geometric model, a non-uniform mesh division (non-uniform mesh division) is adopted, the division size is not specified, and the geometric entity of the target is approached to the maximum extent by the minimum number of meshes (the meshes are triangular meshes, but the invention is not limited to the triangular meshes). The optimization of the number of grids reduces the intersection test times of the rays and the grids to a certain extent, so that the calculation efficiency of the high-frequency solver is improved.
That is, the near-field modified bounce ray method adopted in this embodiment only needs the mesh to approach the geometric entity of the target to the maximum extent. The typical full-wave and high-frequency calculation method generally has subdivision size related to the working frequency of electromagnetic waves, and the near-field correction bounce ray method only needs subdivision grids which can approach a solid model to the maximum extent and has no requirement on the subdivision size. According to the non-uniform subdivision of the curvature, namely in the place with large curvature, the mesh subdivision is dense; and in the place with small curvature, the mesh generation is sparse. Therefore, the non-uniform mesh generation method adopted by the embodiment does not relate to generation size limitation similar to other electromagnetic calculation methods, and meets the acceleration requirement to the greatest extent.
And step S2, calculating an incident field incident to the surface of the target geometric model according to the radiation characteristic distribution of the transmitting antenna, wherein the field intensity of the incident field tracks each incident ray until the incident ray exits.
For plane wave incidence, the position of the emitting surface is not critical. As shown in fig. 2, in the near-field condition, spherical waves are incident on the target surface, and in order to ensure that spherical waves are uniformly incident on the target surface, when the incident surface is selected, the target external spherical tangent plane is selected as the incident point of the spherical waves of the transmitting antenna. That is, when the spherical wave is incident, the incident surface close to the target is selected as much as possible to ensure the uniformity of the incident ray density, thereby ensuring the maximum incident ray density.
The step S2 further includes: uniformly selecting incidence points on a vertical plane of a connecting line between the center of the target geometric model and the position of the transmitting antenna, and connecting the position of the transmitting antenna and the incidence points to be used as a propagation direction; and calculating the incident field by combining the far field distribution characteristic of the antenna and the propagation direction.
Preferably, the emitted radiation density interval at the incidence surface is λ 10, λ being the operating wavelength. To meet the calculation accuracy requirements.
Preferably, according to the antenna far field characteristic distribution, the incident field incident to the target surface can be expressed as
In the formula, I and
respectively represent
Component sum
Amplitude of the component, r0Is a source point to field point vector, kiIs a wave vector, GTGain for the transmit antenna; the incident field contains two polarization components, and the gain characteristic in each direction is represented by GTAnd (4) determining.
With reference to fig. 2 to 3, in step S3, the near-field scattering characteristic contribution of each outgoing ray at the position of the receiving antenna is obtained according to the radiation characteristic distribution of the receiving antenna and the polarization mode of the receiving antenna.
The receiving field in the receiving polarization mode of the receiving antenna is represented as:
wherein J (R ') and M (R') are equivalent current and equivalent magnetic current of the target surface, R is a position vector from a source point to a field point (secondary radiation),
for the polarization of the receiving antenna (in the local coordinate system), GRGain for the receive antenna; the received field contains information of the polarization of the receiving antenna, the calculated Es(r) contains a radial component.
In some other embodiments, a method for accurately and efficiently modeling near-field scattering properties, comprises: s1.1, according to the curvature characteristic of the target geometric model, carrying out mesh division on the target geometric model by adopting a non-uniform mesh division method.
The transmitting antenna will emit countless rays, assuming n rays are transmitted. The scatter contribution of the first ray comprises the steps of:
s2.1, uniformly selecting incident points on a vertical plane of a connecting line of the center of the target geometric model and the position of the transmitting antenna, and connecting the position of the transmitting antenna and the incident points to serve as the propagation direction of incident rays;
s3.1, calculating the incident field by combining the far field distribution characteristic and the propagation direction of the antenna, and tracking the ray to be calculated by the field intensity of the incident field until the ray to be calculated is emergent;
s4.1, synthesizing a polarization mode of the receiving antenna, and calculating the scattering contribution of the ray to be calculated at the position of the receiving antenna;
and S5.1, scanning the position of the transmitting antenna, and returning to the step S2.1 to the step S4.1 until the scattering contribution of all rays emitted by the transmitting antenna at the position of the receiving antenna.
The scattering contributions of all the rays are summed to obtain the near-field scattering property. When the position of the transmitting antenna is scanned, the calculation target does not change geometrically, and the built acceleration data structure does not need to be reconstructed, so that the calculation acceleration is further realized.
In this embodiment, the mesh generation, the incident field and the receiving field are the same as those in the above embodiment, and are not described herein again.
In still another aspect, based on the same inventive concept, the present invention further provides an electronic device, as shown in fig. 4, the electronic device includes a processor 301 and a memory 303, the memory 303 stores a computer program thereon, and the computer program, when executed by the processor 301, implements a near-field scattering property modeling method as described above.
The electronic device provided by the embodiment can achieve the purpose of improving the calculation accuracy of the near-field scattering characteristic simulation.
With continued reference to fig. 4, the electronic device further comprises a communication interface 302 and a communication bus 304, wherein the processor 301, the communication interface 302 and the memory 303 are communicated with each other through the communication bus 304. The communication bus 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface 302 is used for communication between the electronic device and other devices.
The Processor 301 in this embodiment may be a Central Processing Unit (CPU), other general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and so on. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the processor 301 is the control center of the electronic device and connects the various parts of the whole electronic device by various interfaces and lines.
The memory 303 may be used for storing the computer program, and the processor 301 implements various functions of the electronic device by running or executing the computer program stored in the memory 303 and calling data stored in the memory 303.
The memory 303 may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
In other aspects, based on the same inventive concept, the present invention further provides a readable storage medium, in which a computer program is stored, and the computer program, when executed by a processor, can implement a near-field scattering property modeling method as described above.
The readable storage medium provided by the embodiment can achieve the purpose of improving the calculation accuracy of the near-field scattering characteristic simulation.
The readable storage medium provided by this embodiment may take any combination of one or more computer-readable media. The readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this context, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
In this embodiment, computer program code for carrying out operations for embodiments may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It should be noted that the apparatuses and methods disclosed in the embodiments herein can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments herein. In this regard, each block in the flowchart or block diagrams may represent a module, a program, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments herein may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In summary, the near-field scattering characteristic modeling method provided by the invention considers the incident wave polarization component and the receiving characteristic of the receiving antenna, the obtained near-field characteristic comprises a radial component, the near-field information is perfected, and the method is an accurate and efficient simulation technical means. The invention adopts a non-uniform mesh generation method to carry out mesh generation on the target geometric model, namely, the invention adopts a non-uniform mesh generation technology, does not specify the generation size, and approaches the surface of a target entity by using a minimum triangular surface patch, thereby quickly realizing the intersection of rays and triangles in the algorithm and accelerating the calculation efficiency of a high-frequency solver. And under the near-field condition, spherical waves are incident to the target surface, and in order to ensure that spherical wave rays are uniformly incident to the target surface, when the incident surface is selected, the target external spherical tangent plane is selected as the incident point of the spherical waves of the transmitting antenna. The invention adopts the far-field distribution characteristic of the antenna as incident wave, and more accurately describes each component of the incident wave compared with the prior scalar directional diagram (
Component, component,
Component) to further approximate the antenna radiation characteristic. The invention is in consideration ofWhen the receiving antenna receives the emergent ray, a receiving polarization mode is introduced, so that the result of the receiving field is closer to the actual situation.
While the present invention has been described in detail with reference to the preferred embodiments, it should be understood that the above description should not be taken as limiting the invention. Various modifications and alterations to this invention will become apparent to those skilled in the art upon reading the foregoing description. Accordingly, the scope of the invention should be determined from the following claims.
Claims (8)
1. A method for modeling near-field scattering properties, comprising:
step S1, according to the curvature characteristic of the target geometric model, carrying out mesh division on the target geometric model by adopting a non-uniform mesh division method;
step S2, calculating an incident field incident to the surface of the target geometric model according to the radiation characteristic distribution of the transmitting antenna, wherein the field intensity of the incident field tracks each incident ray until the incident ray exits;
step S3, according to the radiation characteristic distribution of the receiving antenna, the near-field scattering characteristic contribution of each emergent ray at the position of the receiving antenna is obtained by combining the polarization mode of the receiving antenna.
2. The near-field scattering property modeling method as claimed in claim 1, wherein said step S2 includes: uniformly selecting incidence points on a vertical plane of a connecting line between the center of the target geometric model and the position of the transmitting antenna, and connecting the position of the transmitting antenna and the incidence points to be used as the propagation direction of the incidence line;
and calculating the incident field by combining the far field distribution characteristic of the antenna and the propagation direction.
3. The near field scattering property modeling method of claim 1,
and selecting an external spherical tangent plane of the target geometric model as an incident plane for emitting rays.
4. The near field scattering property modeling method of claim 1,
the emitted ray density interval at the incidence surface is lambda/10, and lambda is the working wavelength.
5. The near field scattering property modeling method of claim 1,
according to the antenna far field characteristic distribution, the incident field incident to the target surface can be expressed as
In the formula, I and
respectively represent
Component sum
Amplitude of the component, r0Is a source point to field point vector, kiIs a wave vector, GTGain for the transmit antenna; the incident field contains two polarization components, and the gain characteristic in each direction is represented by GTAnd (4) determining.
6. The near field scattering property modeling method of claim 1,
the receiving field in the receiving polarization mode of the receiving antenna is represented as:
wherein J (R ') and M (R') are equivalent current and equivalent magnetic current of the target surface, and R is the position vector from the source point to the field point
For the polarisation mode of the receiving antenna, GRGain for the receive antenna; the received field contains information of the polarization of the receiving antenna, the calculated Es(r) contains a radial component.
7. An electronic device comprising a processor and a memory, the memory having stored thereon a computer program which, when executed by the processor, implements the method of any of claims 1 to 6.
8. A readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010947214.5A CN112069713B (en) | 2020-09-10 | 2020-09-10 | Near-field scattering characteristic modeling method, electronic device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010947214.5A CN112069713B (en) | 2020-09-10 | 2020-09-10 | Near-field scattering characteristic modeling method, electronic device and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112069713A true CN112069713A (en) | 2020-12-11 |
| CN112069713B CN112069713B (en) | 2022-12-23 |
Family
ID=73663476
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010947214.5A Active CN112069713B (en) | 2020-09-10 | 2020-09-10 | Near-field scattering characteristic modeling method, electronic device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112069713B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112767550A (en) * | 2021-01-04 | 2021-05-07 | 北京环境特性研究所 | Spatial target light scattering characteristic modeling method based on grid |
| 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 |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101295813A (en) * | 2008-05-08 | 2008-10-29 | 北京邮电大学 | Spherical surface multi-layer film polarization compensating device based on crossing bipole reflection surface antenna |
| CN103777186A (en) * | 2013-11-02 | 2014-05-07 | 西安电子科技大学 | Method for calculating near-field radar echo characteristics of moving object based on beam decomposition and local irradiation |
| US20170133754A1 (en) * | 2015-07-15 | 2017-05-11 | The Government Of The United States Of America, As Represented By The Secretary Of The Navy | Near Field Scattering Antenna Casing for Arbitrary Radiation Pattern Synthesis |
| CN108051792A (en) * | 2017-12-05 | 2018-05-18 | 上海无线电设备研究所 | The distribution in target and rough surface coupling scattering source describes method |
| CN108268674A (en) * | 2016-12-30 | 2018-07-10 | 深圳光启高等理工研究院 | The electrical performance evaluation method and device of antenna house |
| CN108445303A (en) * | 2018-03-08 | 2018-08-24 | 北京环境特性研究所 | A kind of Electromagnetic scatter simulated behavior method |
| CN109765538A (en) * | 2019-01-11 | 2019-05-17 | 西安电子科技大学 | The scattered field of inhomogeneous dielectric object body determines method |
-
2020
- 2020-09-10 CN CN202010947214.5A patent/CN112069713B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101295813A (en) * | 2008-05-08 | 2008-10-29 | 北京邮电大学 | Spherical surface multi-layer film polarization compensating device based on crossing bipole reflection surface antenna |
| CN103777186A (en) * | 2013-11-02 | 2014-05-07 | 西安电子科技大学 | Method for calculating near-field radar echo characteristics of moving object based on beam decomposition and local irradiation |
| US20170133754A1 (en) * | 2015-07-15 | 2017-05-11 | The Government Of The United States Of America, As Represented By The Secretary Of The Navy | Near Field Scattering Antenna Casing for Arbitrary Radiation Pattern Synthesis |
| CN108268674A (en) * | 2016-12-30 | 2018-07-10 | 深圳光启高等理工研究院 | The electrical performance evaluation method and device of antenna house |
| CN108051792A (en) * | 2017-12-05 | 2018-05-18 | 上海无线电设备研究所 | The distribution in target and rough surface coupling scattering source describes method |
| CN108445303A (en) * | 2018-03-08 | 2018-08-24 | 北京环境特性研究所 | A kind of Electromagnetic scatter simulated behavior method |
| CN109765538A (en) * | 2019-01-11 | 2019-05-17 | 西安电子科技大学 | The scattered field of inhomogeneous dielectric object body determines method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112767550A (en) * | 2021-01-04 | 2021-05-07 | 北京环境特性研究所 | Spatial target light scattering characteristic modeling method based on grid |
| CN112767550B (en) * | 2021-01-04 | 2023-04-25 | 北京环境特性研究所 | Space target light scattering characteristic modeling method based on grid |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112069713B (en) | 2022-12-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| TWI685672B (en) | Saliency based beam-forming for object detection | |
| CN108445303B (en) | Near-field electromagnetic scattering characteristic simulation method | |
| CN112069713B (en) | Near-field scattering characteristic modeling method, electronic device and storage medium | |
| TWI751645B (en) | Rapid over-the-air production line test platform | |
| WO2018161681A1 (en) | Method and device for beam sidelobe suppression | |
| CN113158485B (en) | Electromagnetic scattering simulation method for electrically large-size target under near-field condition | |
| US10394204B1 (en) | Methods and systems for synthesis of a waveguide array antenna | |
| WO2018064917A1 (en) | Gpu-based human body microwave echo simulation method and system | |
| CN113419208B (en) | Interference source real-time direction finding method and device, storage medium and electronic equipment | |
| JP2019146161A (en) | Axisymmetric thinned digital beamforming array for reduced power consumption | |
| EP3764110B1 (en) | Method and system for near-field reconstruction in indirect far-field systems | |
| CN116087921A (en) | Detection performance testing method, detection performance testing device, computing equipment and storage medium | |
| Epstein et al. | GPU-accelerated ray tracing for electromagnetic propagation analysis | |
| Hung et al. | Parametric analysis of negative and positive refractive index lens antenna by ANSYS HFSS | |
| CN113376635A (en) | Distance fuzzy suppression method and device based on spectral decomposition and storage medium | |
| CN113917241A (en) | Method, system, equipment and terminal for quickly measuring and estimating antenna directional diagram | |
| Jin | Particle swarm optimization in engineering electromagnetics | |
| McNamara et al. | Using electromagnetic simulation code FEKO as a numerical laboratory in antenna engineering | |
| Zhang et al. | A GPU Acceleration Algorithm for Urban Electromagnetic Environments | |
| WO2023103927A1 (en) | Information transmission method, communication node, and storage medium | |
| CN115225120B (en) | Calculation method and device for evaluating electromagnetic super-surface wireless radio frequency power transmission efficiency | |
| JP7300654B2 (en) | Radio wave shielding loss calculation method, radio wave shielding loss calculation device, and radio wave shielding loss calculation program | |
| CN115242298B (en) | Method and system for simulating satellite beam coverage area based on space geometric model | |
| CN114063176B (en) | Radar imaging method, radar imaging device and computer readable storage medium | |
| Bruintjes et al. | Asymmetric Shaped‐Pattern Synthesis for Planar Antenna Arrays |
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 |