Antenna broadband method, system, device and medium

Abstract

The technical solution conceived by the present invention uses electromagnetic simulation software to construct an antenna model to realize the analysis of the "field"; uses circuit simulation software to design a matching circuit to realize the calculation of the "path"; then uses the optimization algorithm program in the numerical calculation software to call the electromagnetic simulation software and the circuit simulation software to iteratively calculate the optimal values ​​of the electronic components, thereby realizing the integrated simulation and automatic optimization of the "field and path". Compared with traditional methods, the present invention can explore a wider design space and automatically calculate the optimal electronic component parameter values ​​that meet the conditions without relying on prior information and a large amount of manual intervention, thereby maintaining a high antenna parameter debugging efficiency and flexibility when solving large-scale complex problems.

Description

Technical Field

[0001] The present invention relates to the technical field of broadband antennas, and in particular to a broadband antenna method, system, device and medium. Background Art

[0002] With the development of modern communication technology and the increase in communication capacity, higher requirements are also placed on the bandwidth of the antenna for effectively sending and receiving signals. An antenna with a wider bandwidth is called a broadband antenna. The performance of a broadband antenna will not change significantly within one or more octaves. It has the characteristics of high transmission rate and high processing gain, and can effectively improve the utilization rate of existing spectrum resources. However, due to the limitation of antenna size, such as short-wave whip antennas, its inherent frequency band is narrow, and the input impedance is sensitive to frequency. Therefore, in order to make the antenna broadband so that it can meet the requirements of communication, RLC loading network and matching network are two commonly used important technical means. By adding impedance elements or networks at the appropriate position of the antenna, the RLC loading network can change the current distribution on the antenna radiator, effectively reduce the resonant frequency of the antenna, and produce an almost flat input impedance within a wider bandwidth. However, the RLC loading network usually increases the input impedance of the antenna, so a matching network should be added at the feeding point to achieve impedance matching between the antenna and the transmission line. By inserting a passive matching network between the antenna and the signal source, the given input impedance value can be converted into a suitable impedance value, further improving the radiation efficiency and maximizing power transmission.

[0003] In order to obtain the best values ​​for electronic components, the traditional approach often requires relying on personal experience and manually modifying the relevant parameter configurations that affect the antenna performance based on the electromagnetic characteristics of the antenna obtained through simulation or measurement until the desired antenna radiation performance is met. Undoubtedly, this is a very time-consuming and laborious process. When the scale of the problem to be solved is small, the optimal solution can be easily obtained through enumeration, but for more complex problems, it is often impossible to exhaust all possible combinations and test which combination is the best, and the calculation cannot be completed in a short time. Summary of the invention

[0004] In response to at least one defect or improvement need of the prior art mentioned in the background technology, the present invention provides an antenna broadband method, system, device and medium to solve the technical problems of low efficiency and poor flexibility of antenna parameter debugging caused by manually measuring the electromagnetic characteristics of the antenna and manually modifying the parameters related to the antenna performance when dealing with large-scale complex problems.

[0005] In a first aspect, the present invention provides a method for broadbanding an antenna, comprising the following steps:

[0006] S1. Use electromagnetic simulation software to model the antenna and initialize the loading network;

[0007] S2. Write an optimization algorithm program, set optimization variables and optimization targets, and call the preprocessor and solver of the electromagnetic simulation software to calculate the loading element value of this iteration and further obtain the impedance S parameter of this iteration;

[0008] S3. Continue to perform iterative calculation based on the impedance S parameters obtained in the previous iteration, compare and save the optimal result, until the iteration termination condition is met, obtain the impedance S parameters of the final loaded antenna, and import the impedance S parameters of the final loaded antenna into the matching circuit designed by the circuit simulation software;

[0009] S4. Using the optimization algorithm program, calling the circuit simulation software that imports the impedance S parameters of the final loaded antenna, calculating the matching element values ​​of this iteration and further deriving the port S parameters of this iteration;

[0010] S5. Continue to perform iterative calculation based on the port S parameters obtained in the previous iteration, compare and save the optimal results, until the iteration termination condition is met, and obtain the port S parameters of the final matching network;

[0011] S6. In the electromagnetic simulation software, the final matching network is cascaded with the final loaded antenna to obtain the electrical characteristic results of the antenna after broadbandization and the electronic component parameter values ​​of the loading network and the matching network.

[0012] According to the antenna broadbandization method provided by the present invention, the electromagnetic simulation software is FEKO.

[0013] According to the antenna broadbandization method provided by the present invention, the circuit simulation software is ADS.

[0014] According to the antenna broadbandization method provided by the present invention, the optimization algorithm program is written using numerical calculation software MATLAB.

[0015] According to the antenna broadbandization method provided by the present invention, the optimization variables are electronic component parameter values ​​of the loading network and matching network of the antenna.

[0016] According to the antenna broadbandization method provided by the present invention, the optimization target is the radiation performance requirement preset for the antenna.

[0017] According to the antenna broadbandization method provided by the present invention, the electrical characteristic results include one or more of input impedance, standing wave ratio, gain and radiation pattern.

[0018] In a second aspect, the present invention provides a broadband antenna system, the system comprising:

[0019] Modeling and initialization module: used to use electromagnetic simulation software to realize antenna modeling and load network initialization;

[0020] Impedance S parameter module: used to write an optimization algorithm program, set optimization variables and optimization targets, and call the preprocessor and solver of the electromagnetic simulation software to calculate the loading element value of this iteration and further obtain the impedance S parameter of this iteration; continue to perform iterative calculation based on the impedance S parameter obtained in the previous iteration, compare and save the optimal result until the iteration termination condition is met, obtain the impedance S parameter of the final loading antenna, and import the impedance S parameter of the final loading antenna into the matching circuit designed by the circuit simulation software;

[0021] Port S parameter module: used to use the optimization algorithm program to call the circuit simulation software that imports the impedance S parameters of the final loaded antenna, calculate the matching component values ​​of this iteration and further obtain the port S parameters of this iteration; continue to iterate based on the port S parameters obtained in the previous iteration, compare and save the optimal results, until the iteration termination condition is met, and obtain the port S parameters of the final matching network;

[0022] Electronic component parameter value module: used to cascade the final matching network and the final loaded antenna in the electromagnetic simulation software to obtain the electrical characteristic results of the antenna after broadbandization and the electronic component parameter values ​​of the loading network and the matching network.

[0023] In a third aspect, the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor can implement any of the steps of the antenna broadbandization method described above when executing the computer program.

[0024] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, can implement the steps of any of the above-mentioned methods for broadbandizing an antenna.

[0025] The technical solution conceived by the present invention uses electromagnetic simulation software to construct an antenna model to realize the analysis of the "field"; and uses circuit simulation software to design a matching circuit to realize the calculation of the "path". Then, the optimization algorithm program in the numerical calculation software is used to call the electromagnetic simulation software and the circuit simulation software respectively to iteratively calculate the optimal values ​​of the electronic components, thereby realizing the integrated simulation and automatic optimization of the "field and path". Compared with traditional methods, the present invention can explore a broader design space and automatically calculate the optimal electronic component parameter values ​​that meet the conditions without relying on prior information and a large amount of manual intervention, thereby maintaining a high antenna parameter debugging efficiency and flexibility when dealing with large-scale complex problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the following drawings are drawings of some preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 This is one of the flow charts of a method for broadbanding an antenna provided by an embodiment of the present invention;

[0028] Figure 2 This is a second flow chart of a method for broadbanding an antenna provided by an embodiment of the present invention;

[0029] Figure 3 It is a schematic diagram of the block structure of an electronic device provided by an embodiment of the present invention and suitable for implementing the antenna broadbandization method described above. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely in conjunction with some drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] refer to Figure 1 and Figure 2 In a first aspect, in one embodiment, the present invention provides a method for broadbanding an antenna, comprising the following steps S1-S6:

[0032] S1. Use electromagnetic simulation software to model the antenna and initialize the RLC loading network.

[0033] The antenna modeling and the initialization of the RLC loading network can be implemented using a variety of electromagnetic simulation software. The electromagnetic simulation software of this embodiment uses FEKO, and the command script (.pre file) editor EDITFEKO of the electromagnetic simulation software FEKO is used to implement the antenna modeling and the initialization of the RLC loading network.

[0034] S2. Write an optimization algorithm program, set optimization variables and optimization targets, and call the preprocessor and solver of the electromagnetic simulation software to calculate the loading element value of this iteration and further obtain the impedance S parameter of this iteration.

[0035] Writing the optimization algorithm program can be implemented through a variety of software. In this embodiment, the numerical calculation software MATLAB is used to write the optimization algorithm program, and the optimization variables and objective functions are set according to the design requirements. The preprocessor PREFEKO (generating .fek files) and the solver FEKO Solver (generating .bot and .out files) of the electromagnetic simulation software FEKO are called to calculate the loading element value of this iteration and further obtain the impedance S parameters of this iteration.

[0036] The optimization variables are the electronic component parameter values ​​of the RLC loading network and matching network of the antenna; and the optimization target is the radiation performance requirement preset for the antenna.

[0037] S3. Continue to perform iterative calculation based on the impedance S parameters obtained in the previous iteration, compare and save the optimal results, until the iteration termination condition (or the maximum number of iterations) is met, obtain the impedance S parameters of the final loaded antenna (impedance s1p file), and import the impedance S parameters of the final loaded antenna into the matching circuit designed by the circuit simulation software.

[0038] The design of the impedance matching circuit can be realized by using a variety of circuit simulation software. The circuit simulation software of this embodiment adopts ADS.

[0039] S4. Similarly, using the aforementioned optimization algorithm program, call the circuit simulation software that imports the impedance S parameters of the final loaded antenna, calculate the matching component values ​​of this iteration and further obtain the port S parameters of this iteration.

[0040] S5. Continue to perform iterative calculation based on the port S parameters obtained in the previous iteration, compare and save the optimal results, until the iteration termination condition (or the maximum number of iterations) is met, and obtain the port S parameters of the final matching network (matching s2p file).

[0041] S6. In the electromagnetic simulation software, the final matching network is cascaded with the final loaded antenna to obtain the electrical characteristic results after the antenna is broadbanded, wherein the electrical characteristic results include one or more of input impedance, standing wave ratio, gain and directional pattern, and then the electronic component parameter values ​​of the RLC loading network and the matching network that meet the antenna broadband requirements are obtained.

[0042] In a second aspect, in one embodiment, the present invention provides an antenna broadband system, which includes a modeling and initialization module, an impedance S parameter module, a port S parameter module and an electronic component parameter value module, and the specific functions of each module are described as follows.

[0043] Modeling and initialization module: used to use electromagnetic simulation software to realize antenna modeling and load network initialization.

[0044] Impedance S parameter module: used to write an optimization algorithm program, set optimization variables and optimization targets, and call the preprocessor and solver of the electromagnetic simulation software to calculate the loading element value of this iteration and further obtain the impedance S parameters of this iteration; continue to perform iterative calculation based on the impedance S parameters obtained in the previous iteration, compare and save the optimal results until the iteration termination condition is met, obtain the impedance S parameters of the final loaded antenna, and import the impedance S parameters of the final loaded antenna into the matching circuit designed by the circuit simulation software.

[0045] Port S parameter module: used to use the optimization algorithm program to call the circuit simulation software that imports the impedance S parameters of the final loaded antenna, calculate the matching component values ​​of this iteration and further obtain the port S parameters of this iteration; continue to iterate based on the port S parameters obtained in the previous iteration, compare and save the optimal results until the iteration termination condition is met, and obtain the port S parameters of the final matching network.

[0046] Electronic component parameter value module: used to cascade the final matching network and the final loaded antenna in the electromagnetic simulation software to obtain the electrical characteristic results of the antenna after broadbandization and the electronic component parameter values ​​of the loading network and the matching network.

[0047] In a third aspect, in one embodiment, the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor can implement any of the steps of the antenna broadbandization method described above when executing the computer program.

[0048] Figure 3 A block diagram of an electronic device suitable for implementing the method described above according to an embodiment of the present disclosure is schematically shown. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0049] like Figure 3 As shown, the electronic device 1000 described in this embodiment includes: a processor 1001, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage part 1008 to a random access memory (RAM) 1003. The processor 1001 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 1001 may also include an onboard memory for caching purposes. The processor 1001 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0050] In RAM 1003, various programs and data required for the operation of system 1000 are stored. Processor 1001, ROM 1002 and RAM 1003 are connected to each other through bus 1004. Processor 1001 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 1002 and / or RAM 1003. It should be noted that the program can also be stored in one or more memories other than ROM 1002 and RAM 1003. Processor 1001 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0051] According to an embodiment of the present disclosure, the electronic device 1000 may further include an input / output (I / O) interface 1005, which is also connected to the bus 1004. The system 1000 may further include one or more of the following components connected to the I / O interface 1005: an input section 1006 including a keyboard, a mouse, etc.; an output section 1007 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 1008 including a hard disk, etc.; and a communication section 1009 including a network interface card such as a LAN card, a modem, etc. The communication section 1009 performs communication processing via a network such as the Internet. A drive 1010 is also connected to the I / O interface 1005 as needed. A removable medium 1011, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 1010 as needed, so that a computer program read therefrom is installed into the storage section 1008 as needed.

[0052] According to the method flow of the embodiment of the present disclosure, it can be implemented as a computer software program. For example, the embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 1009, and / or installed from the removable medium 1011. When the computer program is executed by the processor 1001, the above-mentioned functions defined in the system of the embodiment of the present disclosure are executed. According to the embodiment of the present disclosure, the system, device, module, etc. described above can be implemented by a computer program module.

[0053] In a fourth aspect, in one embodiment, the present invention provides a computer-readable storage medium, which may be included in the device / system described in the above embodiment; or may exist independently without being assembled into the device / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0054] According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In an embodiment of the present disclosure, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present disclosure, the computer-readable storage medium may include one or more memories other than the ROM 1002 and / or RAM 1003 described above.

[0055] It should be noted that the functional modules in the various embodiments of the present invention can be integrated into a processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product.

[0056] The flowchart or block diagram in the accompanying drawings illustrates the possible implementation architecture, functions and operations of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each box or step in the flowchart or block diagram may represent a module, a program segment or a part of a code, and the above-mentioned module, a program segment or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0057] Those skilled in the art will appreciate that the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations or combinations are not explicitly described in the present disclosure. In particular, without departing from the spirit and teachings of the present disclosure, the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways, and all of these combinations and / or combinations fall within the scope of the present disclosure.

[0058] Although the present disclosure has been shown and described with reference to specific exemplary embodiments of the present disclosure, it should be understood by those skilled in the art that various changes in form and details may be made to the present disclosure without departing from the spirit and scope of the present disclosure as defined by the appended claims and their equivalents. Therefore, the scope of the present disclosure should not be limited to the above-mentioned embodiments, but should be determined not only by the appended claims, but also by the equivalents of the appended claims.

Claims

1. A method for broadbanding an antenna, characterized in that: The steps include: S1. Use electromagnetic simulation software to model the antenna and initialize the loading network; S2. Write an optimization algorithm program, set optimization variables and optimization targets, and call the preprocessor and solver of the electromagnetic simulation software to calculate the loading element value of this iteration and further obtain the impedance S parameter of this iteration; S3. Continue to perform iterative calculation based on the impedance S parameters obtained in the previous iteration, compare and save the optimal result, until the iteration termination condition is met, obtain the impedance S parameters of the final loaded antenna, and import the impedance S parameters of the final loaded antenna into the matching circuit designed by the circuit simulation software; S4. Using the optimization algorithm program, calling the circuit simulation software that imports the impedance S parameters of the final loaded antenna, calculating the matching element values ​​of this iteration and further deriving the port S parameters of this iteration; S5. Continue to perform iterative calculation based on the port S parameters obtained in the previous iteration, compare and save the optimal results, until the iteration termination condition is met, and obtain the port S parameters of the final matching network; S6. In the electromagnetic simulation software, the final matching network is cascaded with the final loaded antenna to obtain the electrical characteristic results of the antenna after broadbandization and the electronic component parameter values ​​of the loading network and the matching network.

2. The antenna broadbandization method according to claim 1, characterized in that: The electromagnetic simulation software is FEKO.

3. The antenna broadbandization method according to claim 1, characterized in that: The circuit simulation software is ADS.

4. The antenna broadbandization method according to claim 1, characterized in that: The optimization algorithm program is written using the numerical computing software MATLAB.

5. The antenna broadbandization method according to claim 1, characterized in that: The optimization variables are electronic component parameter values ​​of the loading network and matching network of the antenna.

6. The method for broadbanding an antenna according to claim 1, characterized in that: The optimization target is the preset radiation performance requirement of the antenna.

7. The antenna broadbandization method according to claim 1, characterized in that: The electrical characteristic results include one or more of input impedance, standing wave ratio, gain and directivity pattern.

8. An antenna broadband system, characterized in that: The system includes: Modeling and initialization module: used to use electromagnetic simulation software to realize antenna modeling and load network initialization; Impedance S parameter module: used to write an optimization algorithm program, set optimization variables and optimization targets, and call the preprocessor and solver of the electromagnetic simulation software to calculate the loading element value of this iteration and further obtain the impedance S parameter of this iteration; continue to perform iterative calculation based on the impedance S parameter obtained in the previous iteration, compare and save the optimal result until the iteration termination condition is met, obtain the impedance S parameter of the final loading antenna, and import the impedance S parameter of the final loading antenna into the matching circuit designed by the circuit simulation software; Port S parameter module: used to use the optimization algorithm program to call the circuit simulation software that imports the impedance S parameters of the final loaded antenna, calculate the matching component values ​​of this iteration and further obtain the port S parameters of this iteration; continue to iterate based on the port S parameters obtained in the previous iteration, compare and save the optimal results, until the iteration termination condition is met, and obtain the port S parameters of the final matching network; Electronic component parameter value module: used to cascade the final matching network and the final loaded antenna in the electromagnetic simulation software to obtain the electrical characteristic results of the antenna after broadbandization and the electronic component parameter values ​​of the loading network and the matching network.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the antenna broadbandization method according to any one of claims 1 to 7 can be implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the antenna broadbandization method according to any one of claims 1 to 7 can be implemented.

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