CN102156761A - Quick simulation and optimization method for microwave radio frequency device - Google Patents
Quick simulation and optimization method for microwave radio frequency device Download PDFInfo
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- CN102156761A CN102156761A CN2010105679877A CN201010567987A CN102156761A CN 102156761 A CN102156761 A CN 102156761A CN 2010105679877 A CN2010105679877 A CN 2010105679877A CN 201010567987 A CN201010567987 A CN 201010567987A CN 102156761 A CN102156761 A CN 102156761A
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Abstract
The invention provides a quick simulation and optimization method for a microwave radio frequency device by taking a quick simulation and optimization method for a tag antenna as an example. An antenna satisfying conditions can be searched as required from a database through a user by establishing a nonlinear model and the database of the designed tag antenna, the structural size of the antenna can be changed for simulation as required, or the antenna is optimized in a mode of combining an optimization algorithm and the nonlinear model to meet the key size parameter of the required read-write distance, and finally the simulation and optimization result is displayed. The method quickens simulation and optimization of the tag antenna, can be used for antenna design of a tag manufacturer and quick type selection of the tag antenna under the condition that the impedance of a chip is changed in a large range, and greatly shortens the design period of the antenna.
Description
Technical field
The invention belongs to microwave radio and computer-aided design (CAD) crossing domain, relate generally to high-speed simulation of a kind of microwave radio device and optimization method.
Background technology
The rfid system electronic tag comprises label antenna and chip two parts.The target of label antenna is to transmit maximum energy turnover label chip, and the connected chip of this antenna that need design is complementary, and when frequency of operation reached microwave region, it is severe more that the matching problem between antenna and the chip becomes.All the time, the exploitation of label antenna based on be 50 or 75 ohm of input impedance, and in RFID used, the input impedance of chip may be arbitrary value, and was difficult in accurately test under the duty, it is best that the design of antenna is difficult to reach.In addition because environment is very big to the influence of label antenna, can cause script to mate good antenna encapsulation mates relatively poor with chip afterwards, if can record the impedance that antenna port is presented after the Chip Packaging, analyze the influence of encapsulation process, just can design the label antenna of better performances by optimizing antenna structure to chip.So, how under the situation of chip impedance wide variation, antenna is carried out quick type selecting and design is a key issue.
Generally, the design of label antenna belongs to the professional skill field of microwave antenna, need be with simulation software to its modeling and simulating, obtain return loss performance, with the match condition of this performance judgement antenna and chip, specialized threshold has limited to understanding and the understanding of people to the design of RFID label antenna.The material and the application background of RFID label are multifarious, in theory, all need phantom antenna performance again for every kind of different situation, and present commercial simulation software one costs an arm and a leg, the 2nd, simulation time is longer, and the 3rd, the time of crossing the threshold is longer, and this has limited the industrialization of RFID label and has produced.
Present chip production manufacturer also provides tag antenna structure when chip is provided, still, for the user, when changing the medium of this label antenna, object that label adheres to, change has taken place the performance of label antenna.In addition, the encapsulation of label is owing to the coupling that has influenced label antenna and chip also can exert an influence to the reading performance of label.If will consider the influence of these extraneous factors, must redesign and emulation to antenna.
This method is by the broadband RFID label antenna of the RFID standard that some moneys are provided are applicable to country variant.By regulating one or two critical sizes of antenna, can make antenna to different input resistance (real part is at 10～40 Ω, imaginary part-50～-j300 Ω between) label chip in the 840MHz-930MHz frequency band range, satisfy standing-wave ratio (SWR) less than 2.
Design a label antenna by regulating its critical size parameter, mate mutually with impedance chip within the specific limits.A given chip, in order to select to satisfy the antenna structure that coupling requires, at first need the critical size of antenna is optimized according to optimization aim (bandwidth the wideest or gain maximum etc.), make antenna and chip coupling after the optimization, and then the optimization result is carried out emulation; In the process of label antenna type selecting, need a large amount of emulation and optimize number of times, utilize commercialization Electromagnetic Simulation software consuming time long, prolonged the design cycle of antenna.
Along with the development of REID, the application of label antenna is more and more general, and market also will increase greatly to the demand of label antenna.For the label antenna user, if want to be met fast the antenna of different application background or the optimum structure of the antenna under the specific background, existing way is to utilize Electromagnetic Simulation software to design or optimize type selecting, and this will greatly reduce user's work efficiency.
Summary of the invention
The problem to be solved in the present invention provides a kind of high-speed simulation and optimization method of label antenna, under the different condition of chip impedance, reduces the antenna simulation and optimization time, has guaranteed the quick type selecting of antenna in the label design process.
For solving the problems of the technologies described above, the invention discloses following technical scheme:
A kind of rapid simulation optimization method of label antenna comprises:
Set up the nonlinear model of tag design antenna;
Set up database; Database comprises antenna assumption diagram, fixed measure value, critical size scope, antenna gain and antenna medium parameter by the information data of label antenna, the information data of label chip comprises the cut-in voltage of chip impedance and chip, and the information data of read write line comprises maximum transmission power, the RFID applying frequency scope composition of the country variant and the read write line of the radio-frequency recognition system standard code in area;
Antenna, chip and read write line that search meets the demands; Physical size, impedance bandwidth and antenna gain etc. with antenna are search condition, extract the antenna that satisfies condition from database, and select to want the antenna of simulation and optimization; Model and country name with label chip is called index respectively, extracts chip and read write line related data from database;
The parameter of selected antenna, the parameter of chip and the parameter of read write line are carried out the return loss (S that emulation draws antenna as the input of antenna nonlinear model
11) reading/writing distance of performance and selected radio-frequency recognition system;
Chip parameter, read write line parameter and the desired reading/writing distance of radio-frequency recognition system are input, and the mode of utilizing optimized Algorithm to combine with nonlinear model is optimized the antenna critical size and is obtained the optimum dimension parameter;
Show the simulation and optimization result.
Described method also comprises: can adopt multiple modeling method that antenna is carried out modeling, the critical size parameter that is input as antenna, chip impedance parameter and the read write line parameter of antenna nonlinear model are output as the return loss (S of antenna
11) reading/writing distance of performance and system.
Described method also comprises: the structure of label antenna designs in advance according to the different application background, can work in 840-960MHz, has good coupling bandwidth characteristic and gain characteristic.This antenna structure can reach the purpose that satisfies chip impedance in the coupling certain limit by changing several critical sizes.
Described method also comprises: method each several part function is integrated with the form realization of software platform except the foundation of antenna nonlinear model.
For above technical scheme, the nonlinear model of label antenna has identical simulation accuracy with commonly used Electromagnetic Simulation software (as HFSS, ADS), and emulation and optimization time were reduced to second-time in required tens minutes by electromagnetism software.
Description of drawings
Fig. 1 is the process flow diagram of the embodiment of the invention;
Fig. 2 is the figure as a result to the test of neural network model accuracy;
Fig. 3 .1 is the interface of search antenna.
Fig. 3 .2 is the Search Results that presents.
Fig. 3 .3 is an antenna database, the demonstration of chip database and read write line database information.
Fig. 4 is a kind of label antenna rapid simulation optimization of embodiment software master interface;
Fig. 5 is the figure as a result of direct emulation;
Fig. 6 .1 is for optimizing figure as a result;
Fig. 6 .2 is the simulation result figure after optimizing;
Fig. 7 .1,7.2 is the antenna performance parameters displayed map
Embodiment
Below in conjunction with the accompanying drawing of embodiment of the invention antenna rapid simulation optimization software and concrete embodiment, the present invention is further illustrated.
Fig. 4 is the main interface of embodiment antenna rapid simulation optimization software; Fig. 1 is the process flow diagram of a kind of label antenna rapid simulation optimization method embodiment, comprising:
With the critical size of antenna, the real part of chip impedance and imaginary part, read write line equivalence transmit power parameter is as the input of nonlinear model, and antenna reading/writing distance and S11 performance parameter are as the output of nonlinear model; In order to guarantee that nonlinear model can correctly reflect the actual relationship between the parameter, also needs the correctness of test model.
Database comprises antenna assumption diagram, fixed measure value, critical size scope, antenna gain and antenna medium parameter by the information data of label antenna, the information data of label chip comprises the cut-in voltage of chip impedance and chip, and the information data of read write line comprises maximum transmission power, the RFID applying frequency scope composition of the country variant and the read write line of the radio-frequency recognition system standard code in area;
Physical size with antenna is a search condition, extracts the antenna that satisfies condition from database, and selects to want the antenna of simulation and optimization; Model and country name with label chip is called index respectively, extracts chip and read write line related data from database, and presents with interface, foreground form.As Fig. 3 .1,3.2,3, shown in 3.
The parameter of selected antenna, the parameter of chip and the parameter of read write line are carried out the return loss (S that emulation draws antenna as the input of antenna neural network model
11) reading/writing distance of performance and selected radio-frequency recognition system.The antenna critical size, chip impedance and read write line equivalence emissive power are editable.The simulation time of neural network model is about 1s.
Present embodiment is chosen genetic algorithm as optimized Algorithm, and the critical size of antenna is optimized.Genetic algorithm is a kind of method by simulating nature evolutionary process search optimum solution, comprises selection, intersects, and three processes make a variation.It can rapidly converge to optimum solution when solution space is bigger.
The 1st step produced initial population at random, and to the chromosome employing binary coding of individuality, each bit of chromosome is selected in 0 or 1 by equiprobability; Two critical sizes of antenna are as two chromosomes, and their real number value is carried out binary coding.Initialization genetic algorithm operational factor, population size (60), chromosome length (15), crossing-over rate (0.7), aberration rate (0.05), the maximum algebraically (100) of evolving;
In the 2nd step, selection-10dB bandwidth and radio-frequency recognition system reading/writing distance are fitness, and fitness function is deduced by neural network model and obtained, and optimizing criterion is that generation number is smaller or equal to preset value; Calculate the ideal adaptation degree, judge whether to satisfy and optimize criterion, then proceed next step as not satisfying.
In the 3rd step, select regeneration individual by the roulette selection algorithm.
The 4th goes on foot, and is 0.6 the new individuality of scale-of-two intersection generation with probability.
The 5th goes on foot, and is 0.05 the new individuality of scale-of-two variation generation with probability.
In the 6th step,, returned for the 2nd step, till satisfying the principle of optimality by intersecting and variation generation population of new generation.Its operation result is shown in Fig. 6 .1,6.2.
Can see that the result (as Fig. 6 .2) after the optimization compares the preceding result (as Fig. 5) of optimization, is greatly improved on bandwidth.And the reading/writing distance of radio-frequency recognition system is than far away 1 meter before optimizing.
Show S11, the reading/writing distance of textual form demonstration-10dB bandwidth and system with curve form.As Fig. 7 .1 and Fig. 7 .2.
Claims (8)
1. microwave radio device high-speed simulation and optimization method is characterized in that, comprising:
Pre-design RFID label antenna database;
Behind the training data, set up the nonlinear model of tag design antenna in conjunction with methods such as neural networks;
Set up database; Database comprises antenna assumption diagram, fixed measure value, critical size scope, antenna gain and antenna medium parameter by the information data of label antenna, the information data of label chip comprises the cut-in voltage of chip impedance and chip, and the information data of read write line comprises maximum transmission power, the RFID applying frequency scope composition of the country variant and the read write line of the radio-frequency recognition system standard code in area;
Antenna, chip and the read write line of basic demand satisfied in user search; With the physical size of antenna, antenna gain etc. is search condition, extracts the antenna that satisfies condition from database, and selects to want the antenna of simulation and optimization; Model and country name with label chip is called index respectively, extracts chip and read write line related data from database
Dimensional parameters, chip parameter and the read write line parameter of selected antenna are carried out the return loss (S that emulation draws antenna as the input of antenna nonlinear model
11) reading/writing distance of performance and selected radio-frequency recognition system;
Chip parameter, read write line parameter and the desired reading/writing distance of radio-frequency recognition system are input, and the mode of utilizing optimized Algorithm to combine with nonlinear model is optimized antenna with the have a full house critical size parameter of the reading/writing distance that required of acquisition;
Show the simulation and optimization result.
2. a kind of microwave radio device according to claim 1 high-speed simulation and optimization method, it is characterized in that, can adopt multiple modeling methods such as neural network that antenna is carried out modeling, the critical size parameter that is input as antenna, chip impedance parameter and the read write line parameter of antenna nonlinear model are output as the return loss (S of antenna
11) reading/writing distance of performance and system.
3. a kind of microwave radio device according to claim 1 high-speed simulation and optimization method, it is characterized in that, the structure of label antenna designs in advance according to the different application background, can work in 840-960MHz, has good coupling bandwidth characteristic and gain characteristic.This antenna structure can reach the purpose that satisfies chip impedance in the coupling certain limit by changing several critical sizes.
4. a kind of microwave radio device according to claim 1 high-speed simulation and optimization method, it is characterized in that, the information data of label antenna comprises structural drawing, fixed measure value, critical size scope, gain and the medium parameter of some money antennas, the information data of label chip comprises the cut-in voltage of chip impedance and chip, the information data of read write line comprises that the maximum transmission power, RFID applying frequency scope of read write line of radio-frequency recognition system standard code in country variant and area with the storage of database form, is kept in the database.
5. a kind of microwave radio device according to claim 1 high-speed simulation and optimization method, it is characterized in that, the user can be according to concrete application demand respectively with antenna physical size, antenna gain etc., the chip model, country name is called index, search satisfies condition from database antenna, chip and read write line.
6. a kind of microwave radio device according to claim 1 high-speed simulation and optimization method, it is characterized in that, process of simulation is imported certain critical size parameter, antenna medium parameter and chip impedance parameter and read write line parameter to nonlinear model exactly, draws the process of antenna return loss performance and system read-write distance.
7. a kind of microwave radio device according to claim 1 high-speed simulation and optimization method, it is characterized in that, reading/writing distance with system is an optimization aim, and the mode of utilizing optimized Algorithm to combine with nonlinear model is optimized, and is met the best critical size of target.Can be to optimum parameters emulation again, reading/writing distance behind the display optimization and antenna return loss performance.
8. a kind of microwave radio device according to claim 1 high-speed simulation and optimization method, it is characterized in that, described method each several part function is except the foundation of antenna nonlinear model, can software or the form of platform integrated offer high-speed simulation and the optimization that the user carries out label antenna.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102831314A (en) * | 2012-08-23 | 2012-12-19 | 福建鸿博印刷股份有限公司 | Optimized design method for meander-line dipole RFID (radiofrequency identification) tag antenna |
| CN103020328A (en) * | 2011-09-20 | 2013-04-03 | 深圳光启高等理工研究院 | Optimum design method for small antenna |
| CN105139065A (en) * | 2015-08-06 | 2015-12-09 | 广东工商职业学院 | Sequential quadratic programming algorithm based antenna structure designing method |
| CN105426921A (en) * | 2015-12-02 | 2016-03-23 | 青岛科技大学 | Optimization method for RFID (Radio Frequency Identification Devices) tag antenna |
| CN105574588A (en) * | 2015-12-14 | 2016-05-11 | 广东工商职业学院 | Genetic algorithm based antenna structure design method |
| CN106650171A (en) * | 2017-01-05 | 2017-05-10 | 重庆大学 | Transformer partial discharge ultrahigh frequency detection Hilbert fractal antenna optimization method |
| CN110717262A (en) * | 2019-09-27 | 2020-01-21 | 深圳市华讯方舟微电子科技有限公司 | Simulation method and simulation device for C-band waveguide filter and terminal |
| WO2020125079A1 (en) * | 2018-12-19 | 2020-06-25 | 清华大学 | High-throughput material simulation calculation optimisation method based on time prediction |
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2010
- 2010-12-01 CN CN2010105679877A patent/CN102156761A/en active Pending
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103020328A (en) * | 2011-09-20 | 2013-04-03 | 深圳光启高等理工研究院 | Optimum design method for small antenna |
| CN103020328B (en) * | 2011-09-20 | 2015-02-25 | 深圳光启创新技术有限公司 | Optimum design method for small antenna |
| CN102831314B (en) * | 2012-08-23 | 2015-05-27 | 鸿博股份有限公司 | Optimized design method for meander-line dipole RFID (radiofrequency identification) tag antenna |
| CN102831314A (en) * | 2012-08-23 | 2012-12-19 | 福建鸿博印刷股份有限公司 | Optimized design method for meander-line dipole RFID (radiofrequency identification) tag antenna |
| CN105139065B (en) * | 2015-08-06 | 2019-03-22 | 广东工商职业学院 | A kind of antenna structure design method based on sequential quadratic programming algorithm |
| CN105139065A (en) * | 2015-08-06 | 2015-12-09 | 广东工商职业学院 | Sequential quadratic programming algorithm based antenna structure designing method |
| CN105426921B (en) * | 2015-12-02 | 2019-08-13 | 青岛科技大学 | A kind of RFID label antenna optimization method |
| CN105426921A (en) * | 2015-12-02 | 2016-03-23 | 青岛科技大学 | Optimization method for RFID (Radio Frequency Identification Devices) tag antenna |
| CN105574588A (en) * | 2015-12-14 | 2016-05-11 | 广东工商职业学院 | Genetic algorithm based antenna structure design method |
| CN106650171A (en) * | 2017-01-05 | 2017-05-10 | 重庆大学 | Transformer partial discharge ultrahigh frequency detection Hilbert fractal antenna optimization method |
| WO2020125079A1 (en) * | 2018-12-19 | 2020-06-25 | 清华大学 | High-throughput material simulation calculation optimisation method based on time prediction |
| CN110717262A (en) * | 2019-09-27 | 2020-01-21 | 深圳市华讯方舟微电子科技有限公司 | Simulation method and simulation device for C-band waveguide filter and terminal |
| CN110717262B (en) * | 2019-09-27 | 2023-04-07 | 深圳市华讯方舟微电子科技有限公司 | Simulation method and simulation device for C-band waveguide filter and terminal |
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Application publication date: 20110817 |