CN113285778A - Adaptive propagation model method based on complex electromagnetic environment - Google Patents
Adaptive propagation model method based on complex electromagnetic environment Download PDFInfo
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- CN113285778A CN113285778A CN202110844860.3A CN202110844860A CN113285778A CN 113285778 A CN113285778 A CN 113285778A CN 202110844860 A CN202110844860 A CN 202110844860A CN 113285778 A CN113285778 A CN 113285778A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
Abstract
The invention discloses a self-adaptive propagation model method based on a complex electromagnetic environment, which comprises the following steps: s1: acquiring electromagnetic data in the current environment, and analyzing the acquired environmental electromagnetic data to acquire environmental electromagnetic frequency and deployment height data; s2: judging the electromagnetic environment and the deployment altitude data, and if the frequency range is between 125MHz and 15.5GHz and the deployment altitude data is between 3000m and 20000m, selecting to use an aviation mobile and radio navigation service propagation model for calculation; if the frequency range is between 2MHz and 30MHz, the deployment height data is higher than 3000m, and a short wave sky wave propagation model is selected for calculation; if the frequency range is between 10KHz and 30MHz, the deployment height data is less than 3000m, and a short-wave ground wave propagation model is selected for calculation; s3: when the frequency range is not within the frequency range selected at S2 and the deployment height is higher than 3000m, the free space propagation prediction is selected for calculation.
Description
Technical Field
The invention relates to a propagation model method, in particular to a self-adaptive propagation model method based on a complex electromagnetic environment.
Background
The wireless propagation model plays an important supporting role in accurately predicting the path loss of radio waves and estimating indexes such as communication speed, coverage range and the like, and is widely applied to civil and military communication system design. In recent years, with the development of artificial intelligence technology, the development direction of a wireless propagation model is also developed from a traditional empirical model to an intelligent wireless propagation model based on data driving, and the method can effectively expand the application range of the wireless propagation model and reduce prediction errors. However, since the applicable characteristics of the wireless propagation model may not be the same in different environments, how to optimally design and select the input characteristics for the wireless propagation model for different scenarios is an important research issue. Based on the above requirements, a self-adaptive propagation model method is provided.
Disclosure of Invention
The invention aims to solve the technical problem that the existing propagation model algorithm is divided into a free space propagation prediction algorithm; an aeronautical mobile and radio navigation business propagation model algorithm; short wave sky wave propagation model algorithm; short wave ground wave propagation model algorithm and the like. At present, a plurality of achievements are obtained in research on a propagation model algorithm of a complex electromagnetic environment, but the problems that the frequency range of the electromagnetic environment is limited, the electromagnetic environment is not suitable for all terrain deployment heights and the like exist, and the purpose is to provide a self-adaptive propagation model method based on the complex electromagnetic environment and solve the problems.
The invention is realized by the following technical scheme:
an adaptive propagation model method based on a complex electromagnetic environment, the method comprising the steps of: s1: acquiring electromagnetic data in the current environment, and analyzing the acquired environmental electromagnetic data to acquire environmental electromagnetic frequency and deployment height data; s2: judging the electromagnetic environment and the deployment altitude data, and if the frequency range is between 125MHz and 15.5GHz and the deployment altitude data is between 3000m and 20000m, selecting to use an aviation mobile and radio navigation service propagation model for calculation; if the frequency range is between 2MHz and 30MHz, the deployment height data is higher than 3000m, and a short wave sky wave propagation model is selected for calculation; if the frequency range is between 10KHz and 30MHz, the deployment height data is less than 3000m, and a short-wave ground wave propagation model is selected for calculation; s3: when the frequency range is not within the frequency range selected at S2 and the deployment height is higher than 3000m, the free space propagation prediction is selected for calculation.
In a propagation model algorithm of a conventional electromagnetic environment, an electromagnetic environment to which each propagation model is applicable has a frequency range and a deployment height to which the propagation model belongs, but for a complex electromagnetic environment, the frequency range and the deployment height are complex and changeable, and a certain propagation model cannot be used for calculation. The propagation model can be seriously distorted due to the existence of the complex electromagnetic environment, and the calculation precision of the propagation model is greatly influenced, so that the calculation result is influenced. Aiming at the problem, the self-adaptive propagation model algorithm based on the complex electromagnetic environment can automatically adjust the propagation model according to the change of the electromagnetic environment, so that the accuracy of the calculation result in the complex electromagnetic environment is maximized.
Further, the model of the aviation mobile and radio navigation service propagation in step S2 adopts ITU-R P528 standard, and uses VHF, UHF and SHF bands for propagation.
Further, the short wave sky wave propagation model in the step S2 propagates through reflection of the ionosphere, and the short wave sky wave propagation model propagates by using the ITU-R p.533 standard.
Further, the frequency curves in the short wave ground wave propagation model in step S2 in the sea water, fresh water, wet ground, medium dry ground and dry ground are set according to ITU-R p.368 standard, and propagation is performed according to the standard.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. according to the self-adaptive propagation model method based on the complex electromagnetic environment, the propagation model algorithm has better robustness in the complex electromagnetic environment through the self-adaptive algorithm, and the influence of the complex electromagnetic environment on the calculation precision of the propagation model due to the distortion of the propagation model is avoided. According to the frequency and the deployment height in the current electromagnetic environment, the most appropriate propagation model algorithm is selected, so that the algorithm has certain self-applicability to different electromagnetic environments.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not used as limitations of the present invention.
Examples
The invention discloses a self-adaptive propagation model method based on a complex electromagnetic environment, which comprises the following steps:
s1: acquiring electromagnetic data in the current environment, and analyzing the acquired environmental electromagnetic data to acquire environmental electromagnetic frequency and deployment height data; s2: judging the electromagnetic environment and the deployment altitude data, and if the frequency range is between 125MHz and 15.5GHz and the deployment altitude data is between 3000m and 20000m, selecting to use an aviation mobile and radio navigation service propagation model for calculation; if the frequency range is between 2MHz and 30MHz, the deployment height data is higher than 3000m, and a short wave sky wave propagation model is selected for calculation; if the frequency range is between 10KHz and 30MHz, the deployment height data is less than 3000m, and a short-wave ground wave propagation model is selected for calculation; s3: when the frequency range is not within the frequency range selected at S2 and the deployment height is higher than 3000m, the free space propagation prediction is selected for calculation.
The implementation mode is as follows: 1) and judging the frequency and the deployment height in the current electromagnetic environment. 2) If the frequency range is between 125MHz-15.5GHz and the terminal is between 3000m-20000m, the calculation is carried out by using the model of the aviation mobile and radio navigation service propagation. 3) If the frequency range is between 2MHz and 30MHz and the terminal is higher than 3000m, the short wave sky wave propagation model is selected for calculation. 4) If the frequency range is between 10KHz and 30MHz and the terminal is less than 3000m, the short-wave ground wave propagation model is selected for calculation. 5) For other frequency ranges, and deployment heights above 3000m, the free-space propagation prediction is chosen for calculation.
The model for the propagation of the aviation mobile and radio navigation services in step S2 uses the ITU-R P528 standard for propagation using VHF, UHF and SHF bands. The short wave sky wave propagation model in the step S2 propagates through reflection of the ionosphere, and the short wave sky wave propagation model propagates by adopting the ITU-R p.533 standard. The frequency curves in the short wave ground wave propagation model in the step S2 in the sea water, fresh water, wet ground, medium dry ground and dry ground are set according to the ITU-R p.368 standard, and the propagation is performed according to the standard.
The above several models are shown by table 1:
| feature(s) | Frequency range | Height of deployment | |
| ITU525 free space propagation prediction | Other frequencies | Higher than 3000m | |
| ITU528 model for aviation mobile and radio navigation service propagation | 125MHz-15.5GHz | The terminal is 3000m-20000m | |
| ITU533 short wave sky wave propagation model | 2MHz-30MHz | The terminal is higher than 3000m | |
| ITU617 | |||
| LR | Taking into account only the topography | 20GHz-40GHz; | <3000m |
| ITU368 short wave ground wave propagation model | 10KHz-30MHz | The terminal is less than 3000m |
TABLE 1 propagation model application scope
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (4)
1. An adaptive propagation model method based on a complex electromagnetic environment is characterized by comprising the following steps:
s1: acquiring electromagnetic data in the current environment, and analyzing the acquired environmental electromagnetic data to acquire environmental electromagnetic frequency and deployment height data;
s2: judging the electromagnetic environment and the deployment altitude data, and if the frequency range is between 125MHz and 15.5GHz and the deployment altitude data is between 3000m and 20000m, selecting to use an aviation mobile and radio navigation service propagation model for calculation; if the frequency range is between 2MHz and 30MHz, the deployment height data is higher than 3000m, and a short wave sky wave propagation model is selected for calculation; if the frequency range is between 10KHz and 30MHz, the deployment height data is less than 3000m, and a short-wave ground wave propagation model is selected for calculation;
s3: when the frequency range is not within the frequency range selected in step S2 and the deployment height is higher than 3000m, the free space propagation prediction is selected for calculation.
2. The adaptive propagation model method based on complex electromagnetic environment as claimed in claim 1, wherein the model of aviation mobile and radio navigation services propagation in step S2 adopts ITU-R P528 standard, and uses VHF, UHF and SHF bands for propagation.
3. The adaptive propagation model method based on complex electromagnetic environment as claimed in claim 1, wherein the short wave sky wave propagation model in step S2 propagates through ionospheric reflection, and the short wave sky wave propagation model propagates by using ITU-R p.533 standard.
4. The adaptive propagation model method based on complex electromagnetic environment as claimed in claim 1, wherein the frequency curves in the short wave ground wave propagation model in step S2 in sea water, fresh water, wet ground, medium dry ground and dry ground are set according to ITU-R p.368 standard and propagated according to the standard.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106134525B (en) * | 2010-10-25 | 2014-02-26 | 中国电子科技集团公司第二十二研究所 | Propagation model engineering application automatic identifying method |
| CN103869293A (en) * | 2014-03-31 | 2014-06-18 | 武汉大学 | Method for simultaneously receiving sky wave and ground wave BVR radar signals |
| CN111434053A (en) * | 2017-10-04 | 2020-07-17 | 天波网络有限责任公司 | Techniques for selecting an optimal transmission frequency based on changing atmospheric conditions |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106134525B (en) * | 2010-10-25 | 2014-02-26 | 中国电子科技集团公司第二十二研究所 | Propagation model engineering application automatic identifying method |
| CN103869293A (en) * | 2014-03-31 | 2014-06-18 | 武汉大学 | Method for simultaneously receiving sky wave and ground wave BVR radar signals |
| CN111434053A (en) * | 2017-10-04 | 2020-07-17 | 天波网络有限责任公司 | Techniques for selecting an optimal transmission frequency based on changing atmospheric conditions |
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Application publication date: 20210820 |