CN112736486A - Broadband RCS (radar cross section) reduced diffuse reflection structure and design method thereof - Google Patents

Broadband RCS (radar cross section) reduced diffuse reflection structure and design method thereof Download PDF

Info

Publication number
CN112736486A
CN112736486A CN202011404826.6A CN202011404826A CN112736486A CN 112736486 A CN112736486 A CN 112736486A CN 202011404826 A CN202011404826 A CN 202011404826A CN 112736486 A CN112736486 A CN 112736486A
Authority
CN
China
Prior art keywords
diffuse reflection
reflection structure
rcs
sub
broadband
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.)
Pending
Application number
CN202011404826.6A
Other languages
Chinese (zh)
Inventor
丁大志
吕宇康
陈如山
樊振宏
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.)
Nanjing University of Science and Technology
Original Assignee
Nanjing University of Science and Technology
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 Nanjing University of Science and Technology filed Critical Nanjing University of Science and Technology
Priority to CN202011404826.6A priority Critical patent/CN112736486A/en
Publication of CN112736486A publication Critical patent/CN112736486A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01QANTENNAS, i.e. RADIO AERIALS
    • H01Q15/00Devices for reflection, refraction, diffraction or polarisation of waves radiated from an antenna, e.g. quasi-optical devices
    • H01Q15/14Reflecting surfaces; Equivalent structures
    • H01Q15/141Apparatus or processes specially adapted for manufacturing reflecting surfaces
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/27Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/12Computing arrangements based on biological models using genetic models
    • G06N3/126Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01QANTENNAS, i.e. RADIO AERIALS
    • H01Q15/00Devices for reflection, refraction, diffraction or polarisation of waves radiated from an antenna, e.g. quasi-optical devices
    • H01Q15/14Reflecting surfaces; Equivalent structures
    • H01Q15/145Reflecting surfaces; Equivalent structures comprising a plurality of reflecting particles, e.g. radar chaff

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Electromagnetism (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Biology (AREA)
  • Medical Informatics (AREA)
  • Computational Linguistics (AREA)
  • Computer Hardware Design (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Physiology (AREA)
  • Genetics & Genomics (AREA)
  • Biomedical Technology (AREA)
  • Geometry (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Manufacturing & Machinery (AREA)
  • Aerials With Secondary Devices (AREA)

Abstract

The invention discloses a broadband RCS (radar cross section) reduction diffuse reflection structure and a design method thereof, wherein the structure consists of 16 diffuse reflection units with different heights H and metal ring side lengths L, each parameter is obtained by optimizing a genetic algorithm and is verified by CST (computer simulation technology) software simulation, the RCS reduction of-10 dB can be realized at 2-12GHz, meanwhile, the diffuse reflection structure can still normally work under the condition of oblique incidence within +/-40 degrees, the-10 dB reduction is realized, and compared with the RCS reduction diffuse reflection structure of the same type, the broadband RCS reduction diffuse reflection structure not only has wider bandwidth, but also realizes good wave absorbing effect under wide-angle incidence.

Description

Broadband RCS (radar cross section) reduced diffuse reflection structure and design method thereof
Technical Field
The invention relates to the technical field of RCS reduction, in particular to a broadband RCS reduction diffuse reflection structure and a design method thereof.
Background
The radar scattering cross section is a physical quantity which quantitatively represents the scattering characteristics of a target, and the target presents an equivalent scattering area when irradiated by incident radar waves. In modern war, stealth and reverse stealth technologies become the techniques of disputed development of various military strong countries.
The traditional diffuse reflection structure design has few variable units and few superposable phases, so that the design flexibility is low, the broadband RCS reduction is not realized all the time, and the frequency multiplication which can be realized by the super surface based on the traditional diffuse reflection structure design is concentrated on 2-3 octaves. Actual battlefield radars have ultra wide band detection capability, and stealth metamaterials designed by the traditional method cannot meet the increasingly mature radar detection technology.
Disclosure of Invention
The invention aims to provide a broadband RCS (radar cross section) reduced diffuse reflection structure and a design method thereof.
The technical solution for realizing the purpose of the invention is as follows: a broadband RCS (radar cross section) reduced diffuse reflection structure comprises 16 sub-arrays, each sub-array comprises N × N same square ring-shaped units, and a patch of one unit in the middle of each sub-array is removed; the broadband RCS reduction diffuse reflection structure is a three-layer composite structure and is divided into an upper metal patch, a middle medium substrate and a bottom metal layer from top to bottom.
A design method of a broadband RCS (radar cross section) reduced diffuse reflection structure comprises the following steps:
step 1, simulating a diffuse reflection structure unit, respectively obtaining phase data of the diffuse reflection structure unit under 3 different heights H and 9 different metal ring side lengths L, and taking 27 groups of phase information as input data;
step 2, taking the sum of RCS reduction values at each frequency point as an evaluation standard, and optimizing a group of optimal combinations by using a genetic algorithm to obtain the height H and the side length L of the metal ring of P units;
step 3, generating a random array by taking each subarray as a unit, and reducing the double-station RCS under the condition of oblique incidence by optimizing the arrangement of the subarrays; arranging the sub-arrays with the same thickness together, randomly distributing for 100-500 times, and then selecting the layout with the minimum bistable scattering property to construct an RCS (radar cross section) reduced diffuse reflection structure;
and 4, simulating and optimizing the result obtained by the algorithm by using CST software, and finally processing to obtain the needed diffuse reflection structure.
Compared with the prior art, the invention has the following remarkable advantages: (1) the bandwidth which can be achieved by using a diffuse reflection structure to realize RCS reduction is greatly expanded, and RCS reduction of-10 dB can be realized under six octaves of 2-12 GHz; (2) the absorption capacity of the double-station RCS under the oblique incidence condition is fully considered, and incident waves can be well absorbed under the oblique incidence of 40 degrees; (3) compared with the common wave-absorbing material, the wave-absorbing material can realize the section height H of 0.11 lambda under the low frequency of 2 GHz; (4) the diffuse reflection RCS reduction structure based on the genetic algorithm is used, and the units have different heights H and square ring side lengths L, so that a total of 27 variable phases are provided, and rich regulation and control capacity is realized in a wide frequency band; the design convenience and the finally realized ultra-wide octave RCS reduction capability of the ultra-wide octave RCS have huge development potential and important research value in the stealth field.
Drawings
FIG. 1 is a flow chart of the genetic algorithm of the present invention.
Fig. 2(a) -2 (b) are schematic diagrams of the elements of the RCS reduction structure with diffuse reflection according to the present invention, wherein fig. 2(a) is a top view and fig. 2(b) is an oblique view.
Fig. 3(a) -3 (c) are three thickness structural views of the phase cancellation structure of the present invention, wherein fig. 3(a) is a structure with a thickness of 16.5mm, fig. 3(b) is a structure with a thickness of 5.5mm, and fig. 3(c) is a structure with a thickness of 11 mm.
Fig. 4(a) -4 (b) are schematic diagrams of an array model of a phase cancellation structure in the present invention, wherein fig. 4(a) is a top view and fig. 4(b) is an oblique view.
Fig. 5(a) -5 (c) are results of RCS reduction in the present invention, wherein fig. 5(a) is a comparison of single-station normal incidence simulation and test results, fig. 5(b) is a comparison of dual-station 20 ° oblique incidence simulation and test results, and fig. 5(c) is a comparison of dual-station 40 ° oblique incidence simulation and test results.
Detailed Description
A broadband RCS (radar cross section) reduced diffuse reflection structure comprises 16 sub-arrays, each sub-array comprises N × N same square ring-shaped units, and a patch of one unit in the middle of each sub-array is removed; the broadband RCS reduction diffuse reflection structure is a three-layer composite structure and is divided into an upper metal patch, a middle medium substrate and a bottom metal layer from top to bottom.
Preferably, each sub-array is composed of 7 × 7 identical square ring type cells, and a patch of one cell in the middle of each sub-array is removed.
Preferably, the period and the width of the metal ring are fixed values for different units of different subarrays: the unit period is 22mm, and the width of the metal ring is 1.1mm, as shown in fig. 2(a) and 2 (b).
Preferably, 16 sub-arrays are fixed on the same metal floor by 16 medium screws, and each medium screw passes through a screw hole in the center of each sub-array.
Preferably, the upper metal patch is an aluminum foil coated with a silver thin layer, the dielectric substrate has a relative dielectric constant of 2.65 and a relative magnetic permeability of 1, and the metal layer is an aluminum block with a length of 616mm, a width of 616mm and a height of 1.5 mm.
The invention also provides a design method of the broadband RCS (radar cross section) reduced diffuse reflection structure based on genetic algorithm optimization, which comprises the following steps of:
step 1, simulating a diffuse reflection structure unit, respectively obtaining phase data of the diffuse reflection structure unit under 3 different heights H and 9 different metal ring side lengths L, and taking 27 groups of phase information as input data;
step 2, taking the sum of RCS reduction values at each frequency point as an evaluation standard, and optimizing a group of optimal combinations by using a genetic algorithm to obtain the height H and the side length L of the metal ring of P units;
step 3, generating a random array by taking each subarray as a unit, and reducing the double-station RCS under the condition of oblique incidence by optimizing the arrangement of the subarrays; in order to facilitate the processing of the diffuse reflection structure, the sub-arrays with the same thickness are arranged together and randomly distributed for 100-500 times, and then the layout with the minimum bistable scattering property is selected to construct the RCS reduced diffuse reflection structure;
and 4, simulating and optimizing the result obtained by the algorithm by using CST software, and finally processing to obtain the needed diffuse reflection structure.
In the optimized parameters, 27 combinations are formed by 9 side lengths L and 3 heights H, and each subarray can be arbitrarily taken as one of the combinations, and 16^27 conditions are total.
Table 1 shows the parameters of the thickness H and the length L of the metal ring side of 16 units obtained by the final optimization of the present invention. The L in the table is optimized to select only these six types.
TABLE 1
Cell parameter 1 2 3 4 5 6 7 8
Lmm) 20.9 3.3 12.1 18.7 16.5 12.1 20.9 20.9
H(mm) 11 16.5 11 11 5.5 5.5 11 5.5
Cell parameter 9 10 11 12 13 14 15 16
L(mm) 12.1 18.7 12.1 18.7 7.7 20.9 18.7 16.5
H(mm) 5.5 16.5 16.5 11 16.5 5.5 5.5 16.5
16The seed unit has different height H and metal ring side length L, 16 sub-arrays are divided into three modules according to the difference of the height, and the arrangement sequence of the sub-arrays is as follows:
Figure BDA0002818262040000031
the matrix corresponds to the cell parameters in table 1.
The present invention will be described in detail with reference to examples.
Examples
Based on an optimization algorithm, the invention designs a broadband RCS reduction diffuse reflection structure working at S, C and X wave band, the maximum working oblique incidence angle is +/-40 degrees, and RCS reduction of-10 dB can be realized within 2-12 GHz.
As shown in the flow chart of fig. 1, the genetic algorithm first generates parameters of multiple groups of units as an initial population, and calculates RCS reduction values at different frequency points of each individual in the initial population by using phases corresponding to different unit parameters read out from a prestored phase table, and obtains fitness values corresponding to the RCS reduction values of each group by using the formulas (2) and (3), and stores the best individual in a result array. And then comparing the fitness values, if the requirements are met, terminating the cycle, if the requirements are not met, updating the population and entering the next cycle, and iterating for multiple times until the set fitness values are met.
Update examples phase data of diffuse reflection structural units having a height H of 5.5mm, 11mm, 16.5mm, and a metal ring side length L of 3.3mm, 5.5mm, 7.7mm, 9.9mm, 12.1mm, 14.3mm, 16.5mm, 18.7mm, 20.9mm were calculated, respectively, with a total of 27 sets of phase information as a starting database. Generating data of 16 random units, wherein the data comprises different height H and metal ring side length L information, and substituting the data into a database to obtain phase information corresponding to the 16 units
Figure BDA0002818262040000044
The RCS reduction value sigma of each unit under normal incidence can be obtained by using the formula 1.1RAnd estimating the fitness value fitness under each frequency by using the formulas 1.2 and 1.3, updating the best fitness value and the corresponding individual, generating a new population through cross inheritance and variation, and iterating again.In the formula, P is 16 to represent the number of units, Q represents the number of selected frequencies, the structure takes 0.5GHz as an interval, 21 frequency points are selected from 2-12GHz, and AiRepresenting the magnitude of the reflection coefficient, it can be considered as an ideal case: a. the1≈A2≈…AP≈1。
Figure BDA0002818262040000041
Figure BDA0002818262040000042
Figure BDA0002818262040000043
For convenience of processing, the array is divided into three arrays with the same thickness, wherein an array composed of 5 sub-arrays with the thickness of 16.5mm is shown in fig. 3(a), an array composed of 6 sub-arrays with the thickness of 5.5mm is shown in fig. 3(b), an array composed of 5 sub-arrays with the thickness of 11mm is shown in fig. 3(c), and finally the three arrays are fixed on the metal floor by screws to form a complete 16-unit array. FIGS. 4(a) and 4(b) are schematic diagrams of an array model of a phase cancellation structure according to the present invention
As can be seen from FIGS. 5(a) to 5(c), under normal incidence, the power in 2-12GHz is below-10 dB; under the condition of oblique incidence of 20 degrees, RCS reduction of full frequency band-10 dB can be still realized, under the condition of oblique incidence of 40 degrees, low frequency 2GHz and 2.1GHz are-7 dB, and the rest frequency bands are below-10 dB.

Claims (8)

1. A broadband RCS reduced diffuse reflection structure is characterized in that the broadband RCS reduced diffuse reflection structure consists of 16 sub-arrays, each sub-array consists of N × N same square ring type units, and a patch of the middle unit is removed from each sub-array; the broadband RCS reduction diffuse reflection structure is a three-layer composite structure and is divided into an upper metal patch, a middle medium substrate and a bottom metal layer from top to bottom.
2. The broadband RCS reduced diffuse reflection structure of claim 1, wherein each subarray is comprised of 7 x 7 identical square ring shaped elements, with a patch of one element in the middle of each subarray removed.
3. A broadband RCS reduced diffuse reflection architecture according to claim 1 or 2, wherein the period and the width of the metal ring are fixed values for different elements of different subarrays.
4. A broadband RCS reduced diffuse reflectance structure according to claim 3, wherein the unit period is 22mm and the metal ring width is 1.1 mm.
5. The broadband RCS reduced diffuse reflection structure of claim 1 or 2, wherein 16 sub-arrays are fixed on the same metal floor by 16 dielectric screws, and each dielectric screw passes through a screw hole at the center of each sub-array.
6. The broadband RCS reduced diffuse reflection structure of claim 1, wherein the upper metal patch is aluminum foil coated with a thin layer of silver, the dielectric substrate has a relative permittivity of 2.65 and a relative permeability of 1, and the metal layer is an aluminum block with a length of 616mm, a width of 616mm, and a height of 1.5 mm.
7. A method of designing a broadband RCS reduced diffuse reflectance structure according to claim 1, comprising the steps of:
step 1, simulating a diffuse reflection structure unit, respectively obtaining phase data of the diffuse reflection structure unit under 3 different heights H and 9 different metal ring side lengths L, and taking 27 groups of phase information as input data;
step 2, taking the sum of RCS reduction values at each frequency point as an evaluation standard, and optimizing a group of optimal combinations by using a genetic algorithm to obtain the height H and the side length L of the metal ring of P units;
step 3, generating a random array by taking each subarray as a unit, and reducing the double-station RCS under the condition of oblique incidence by optimizing the arrangement of the subarrays; arranging the sub-arrays with the same thickness together, randomly distributing for 100-500 times, and then selecting the layout with the minimum bistable scattering property to construct an RCS (radar cross section) reduced diffuse reflection structure;
and 4, simulating and optimizing the result obtained by the algorithm by using CST software, and finally processing to obtain the needed diffuse reflection structure.
8. The design method of broadband RCS (radar cross section) reduced diffuse reflection structure of claim 7, wherein 16 units have different heights H and metal ring side lengths L, and the combination relationship of H and L is shown in Table 1:
TABLE 1
Cell parameter 1 2 3 4 5 6 7 8 L(mm) 20.9 3.3 12.1 18.7 16.5 12.1 20.9 20.9 H(mm) 11 16.5 11 11 5.5 5.5 11 5.5 Cell parameter 9 10 11 12 13 14 15 16 L(mm) 12.1 18.7 12.1 18.7 7.7 20.9 18.7 16.5 H(mm) 5.5 16.5 16.5 11 16.5 5.5 5.5 16.5
The 16 sub-arrays are divided into three modules according to different heights, and the arrangement sequence of the sub-arrays is as follows:
Figure FDA0002818262030000021
the matrix elements correspond to the cell parameters in table 1.
CN202011404826.6A 2020-12-05 2020-12-05 Broadband RCS (radar cross section) reduced diffuse reflection structure and design method thereof Pending CN112736486A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011404826.6A CN112736486A (en) 2020-12-05 2020-12-05 Broadband RCS (radar cross section) reduced diffuse reflection structure and design method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011404826.6A CN112736486A (en) 2020-12-05 2020-12-05 Broadband RCS (radar cross section) reduced diffuse reflection structure and design method thereof

Publications (1)

Publication Number Publication Date
CN112736486A true CN112736486A (en) 2021-04-30

Family

ID=75598913

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011404826.6A Pending CN112736486A (en) 2020-12-05 2020-12-05 Broadband RCS (radar cross section) reduced diffuse reflection structure and design method thereof

Country Status (1)

Country Link
CN (1) CN112736486A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113625375A (en) * 2021-08-02 2021-11-09 福州大学 Quasi-periodic superlens based on genetic algorithm optimization
CN114417557A (en) * 2021-12-15 2022-04-29 南京理工大学 Method, system and medium for optimizing ultra-wideband RCS (radar cross section) reduced super-surface array

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108957429A (en) * 2018-06-05 2018-12-07 中国传媒大学 One kind is based on ULTRA-WIDEBAND RADAR scattering section decrement checkerboard configuration and ULTRA-WIDEBAND RADAR
CN108987934A (en) * 2018-06-05 2018-12-11 中国传媒大学 A kind of ULTRA-WIDEBAND RADAR scattering section decrement Meta Materials and ULTRA-WIDEBAND RADAR

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108957429A (en) * 2018-06-05 2018-12-07 中国传媒大学 One kind is based on ULTRA-WIDEBAND RADAR scattering section decrement checkerboard configuration and ULTRA-WIDEBAND RADAR
CN108987934A (en) * 2018-06-05 2018-12-11 中国传媒大学 A kind of ULTRA-WIDEBAND RADAR scattering section decrement Meta Materials and ULTRA-WIDEBAND RADAR

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
JIANXUN SU等: "A Novel Checkerboard Metasurface Based on Optimized Multielement Phase Cancellation for Superwideband RCS Reduction", 《IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113625375A (en) * 2021-08-02 2021-11-09 福州大学 Quasi-periodic superlens based on genetic algorithm optimization
CN113625375B (en) * 2021-08-02 2022-07-12 福州大学 Quasi-periodic superlens based on genetic algorithm optimization
CN114417557A (en) * 2021-12-15 2022-04-29 南京理工大学 Method, system and medium for optimizing ultra-wideband RCS (radar cross section) reduced super-surface array
CN114417557B (en) * 2021-12-15 2024-03-22 南京理工大学 Optimization method, system and medium for ultra-wideband RCS (radar cross section) reduced ultra-surface array

Similar Documents

Publication Publication Date Title
Haupt Interleaved thinned linear arrays
CN106654601B (en) Grating lobe-free wide-angle scanning hybrid array ultra-sparse layout method
CN109818157B (en) Construction method of tightly-coupled ultra-wideband antenna array based on irregular subarrays
CN112736486A (en) Broadband RCS (radar cross section) reduced diffuse reflection structure and design method thereof
Cui et al. Novel planar electromagnetic absorber designs using genetic algorithms
CN203644950U (en) Compact field antenna based on flat reflective array
CN106785485B (en) A kind of one-dimensional dual redundant aerial array and building method
CN112151969B (en) Strong coupling broadband phased array in-band RCS control method based on generalized scattering matrix
Kerby et al. Sidelobe level and wideband behavior of arrays of random subarrays
CN103326132A (en) Sixteen-unit micro-strip array antenna capable of carrying out power equal-division rotating feed
Xu et al. Grating lobe suppression of non-uniform arrays based on position gradient and sigmoid function
CN105842666B (en) Radar Subarray partition optimization method based on difference algorithm
CN111276822B (en) Antenna pattern main lobe controllable antenna array design method
CN112926271B (en) Linear array subarray division method based on hybrid genetic algorithm
Suárez et al. Experimental validation of linear aperiodic array for grating lobe suppression
CN112421242B (en) Array arrangement method of ultra-wideband comprehensive caliber array antenna
CN112615158B (en) Comprehensive method and device for ultra-wideband scanning sparse array antenna
Kovaleva et al. Cross-entropy method for design and optimization of pixelated metasurfaces
CN102629707A (en) Antenna housing for reducing minor lobe level by using artificial structure material
CN116093616A (en) Amplitude-phase weighting series-fed microstrip antenna array
Zhang et al. Research on grating lobe suppression of aperiodic array with large spacing
CN106934102B (en) Method for designing broadband random surface based on iterative Fourier algorithm
CN115133291A (en) Irregular antenna subarray, phased array antenna and design method of phased array antenna
CN111914427B (en) Multi-constraint rectangular array sparse optimization method based on area normalization strategy
CN110728021B (en) Microstrip filter antenna design method based on improved binary whale optimization algorithm

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20210430