CN118232990A - 5G NTN satellite communication test system based on data analysis - Google Patents
5G NTN satellite communication test system based on data analysis Download PDFInfo
- Publication number
- CN118232990A CN118232990A CN202410642920.7A CN202410642920A CN118232990A CN 118232990 A CN118232990 A CN 118232990A CN 202410642920 A CN202410642920 A CN 202410642920A CN 118232990 A CN118232990 A CN 118232990A
- Authority
- CN
- China
- Prior art keywords
- domain fusion
- fusion feature
- frequency domain
- time domain
- feature vector
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000006854 communication Effects 0.000 title claims abstract description 96
- 238000004891 communication Methods 0.000 title claims abstract description 94
- 238000012360 testing method Methods 0.000 title claims abstract description 21
- 238000007405 data analysis Methods 0.000 title claims abstract description 17
- 230000004927 fusion Effects 0.000 claims abstract description 193
- 239000013598 vector Substances 0.000 claims abstract description 138
- 230000008859 change Effects 0.000 claims abstract description 46
- 238000000605 extraction Methods 0.000 claims description 33
- 238000004364 calculation method Methods 0.000 claims description 28
- 238000010276 construction Methods 0.000 claims description 24
- 230000011218 segmentation Effects 0.000 claims description 14
- 239000000284 extract Substances 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 description 5
- 238000000034 method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000005484 gravity Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000005562 fading Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1851—Systems using a satellite or space-based relay
- H04B7/18519—Operations control, administration or maintenance
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/04—Large scale networks; Deep hierarchical networks
- H04W84/06—Airborne or Satellite Networks
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Astronomy & Astrophysics (AREA)
- General Physics & Mathematics (AREA)
- Aviation & Aerospace Engineering (AREA)
- Radio Relay Systems (AREA)
Abstract
The invention discloses a 5G NTN satellite communication test system based on data analysis, which belongs to the technical field of communication, adopts TE waves and TM waves to irradiate a 5G NTN satellite antenna, collects feeder voltage signals, constructs a first voltage change sequence and a second voltage change sequence according to the voltage signals on a feeder, respectively extracts a time domain fusion feature vector and a frequency domain fusion feature vector for the first voltage change sequence and the second voltage change sequence, and reflects signal features through the time domain fusion feature vector and the frequency domain fusion feature vector to calculate a stable value of the 5G NTN satellite communication.
Description
Technical Field
The invention relates to the technical field of communication test, in particular to a 5G NTN satellite communication test system based on data analysis.
Background
The 5G NTN technology combines the technical advantages of the traditional satellite communication and the ground mobile communication, not only expands the scale of the satellite communication industry, but also lays an important technical foundation for constructing the next-generation space-earth integrated communication system. The 5G NTN satellite communication terminal comprises: the 5G NTN satellite antenna and the radio frequency ADC module are key components for realizing the expansion of 5G technology to the non-ground communication field. In the 5G NTN satellite communication process, the performance stability of the 5G NTN satellite antenna determines the communication quality in the communication process.
The existing 5G NTN satellite antenna is assembled in an actual satellite communication environment for testing whether the error rate exists between a received signal and a transmitted signal, and the interference resistance and the multipath fading condition exist. However, the manufactured 5G NTN satellite antenna is placed in an actual satellite communication environment, and the 5G NTN satellite antenna needs to be assembled, so that the problem of high labor cost and time cost in the testing process exists.
Disclosure of Invention
Aiming at the defects in the prior art, the 5G NTN satellite communication testing system based on data analysis solves the problems of high labor cost and time cost in the existing scheme of assembling a 5G NTN satellite antenna in an actual satellite communication environment for testing.
In order to achieve the aim of the invention, the invention adopts the following technical scheme: a 5G NTN satellite communications testing system based on data analysis, comprising: the device comprises a 5G NTN satellite antenna, a first voltage acquisition unit, a second voltage acquisition unit, a characteristic extraction unit and a communication stable value calculation unit;
The first voltage acquisition unit is used for measuring feeder voltage signals of the 5G NTN satellite antenna when TE waves irradiate the 5G NTN satellite antenna to obtain a first voltage change sequence;
The second voltage acquisition unit is used for measuring feeder voltage signals of the 5G NTN satellite antenna when the 5G NTN satellite antenna is irradiated by TM waves to obtain a second voltage change sequence;
The feature extraction unit is used for extracting a first time domain fusion feature vector and a first frequency domain fusion feature vector from the first voltage change sequence, and extracting a second time domain fusion feature vector and a second frequency domain fusion feature vector from the second voltage change sequence;
The communication stable value calculation unit is used for calculating a 5G NTN satellite communication stable value according to the first time domain fusion feature vector, the first frequency domain fusion feature vector, the second time domain fusion feature vector and the second frequency domain fusion feature vector.
The beneficial effects of the invention are as follows: the invention adopts TE wave and TM wave to irradiate the 5G NTN satellite antenna, collects feeder voltage signals, constructs a first voltage change sequence and a second voltage change sequence according to the voltage signals on the feeder, respectively extracts a time domain fusion characteristic vector and a frequency domain fusion characteristic vector for the first voltage change sequence and the second voltage change sequence, reflects signal characteristics through the time domain fusion characteristic vector and the frequency domain fusion characteristic vector, and calculates a stable value of 5G NTN satellite communication.
Further, the feature extraction unit includes: the device comprises a first segmentation subunit, a second segmentation subunit, a time domain fusion feature extraction subunit, a frequency domain fusion feature extraction subunit, a first time domain fusion feature vector construction subunit, a first frequency domain fusion feature vector construction subunit, a second time domain fusion feature vector construction subunit and a second frequency domain fusion feature vector construction subunit;
the first molecular cutting unit is used for cutting the first voltage change sequence to obtain a plurality of first voltage change subsequences;
The second segmentation subunit is configured to segment the second voltage variation sequence to obtain a plurality of second voltage variation subsequences;
the time domain fusion characteristic extraction subunit is used for respectively extracting time domain fusion characteristic values of each first voltage variation subsequence and each second voltage variation subsequence;
the frequency domain fusion characteristic extraction subunit is used for respectively extracting frequency domain fusion characteristic values of each first voltage variation subsequence and each second voltage variation subsequence;
the first time domain fusion feature vector construction subunit is configured to construct time domain fusion feature values corresponding to all the first voltage variation subsequences into first time domain fusion feature vectors;
The first frequency domain fusion feature vector construction subunit is configured to construct frequency domain fusion feature values corresponding to all the first voltage variation subsequences into first frequency domain fusion feature vectors;
the second time domain fusion feature vector construction subunit is configured to construct time domain fusion feature values corresponding to all the second voltage variation subsequences into second time domain fusion feature vectors;
The second frequency domain fusion feature vector construction subunit is configured to construct frequency domain fusion feature values corresponding to all the second voltage variation subsequences into a second frequency domain fusion feature vector.
The beneficial effects of the above further scheme are: according to the invention, the first voltage change sequence and the second voltage change sequence are segmented, so that the segmentation of the voltage change sequence is realized, the segmentation is convenient for extracting the time domain fusion characteristic value and the frequency domain fusion characteristic value, the signal characteristic of the time domain fusion characteristic vector representation voltage change sequence on the time domain is constructed, and the signal characteristic of the frequency domain fusion characteristic vector representation voltage change sequence on the frequency domain is constructed.
Further, the expression of the time-domain fusion eigenvalue is:
，
Wherein X is a time domain fusion characteristic value, v t is the amplitude of the t-th time point in the first voltage change subsequence or the second voltage change subsequence, N is the number of the amplitude, and t is the number of the time point.
The beneficial effects of the above further scheme are: according to the time domain fusion characteristic value, the mean value of the amplitude values and the fluctuation condition of the amplitude values in the time domain are fused, so that the time domain fusion characteristic value can reflect more detail characteristics of signals in the time domain.
Further, the expression of the frequency domain fusion eigenvalue is:
，
wherein, F is a frequency domain fusion eigenvalue, F k is a frequency value corresponding to the kth frequency component, v k is an amplitude corresponding to the kth frequency component, K is the number of frequency components, and K is the number of frequency components.
The beneficial effects of the above further scheme are: according to the frequency domain fusion characteristic value, the center of gravity of the spectrum frequency and the fluctuation condition of the amplitude in the frequency domain are fused, so that the frequency domain fusion characteristic value can reflect the detail characteristics of the signals in the frequency domain more.
Further, the communication stability value calculation unit includes: the device comprises a first communication stability coefficient calculating subunit, a second communication stability coefficient calculating subunit and a stability value calculating subunit;
the first communication stability coefficient calculation subunit is configured to calculate a first communication stability coefficient according to the first time domain fusion feature vector and the first frequency domain fusion feature vector;
The second communication stability coefficient calculating subunit is configured to calculate a second communication stability coefficient according to the second time domain fusion feature vector and the second frequency domain fusion feature vector;
The stable value calculation subunit is used for adding the first communication stable coefficient and the second communication stable coefficient to obtain a 5G NTN satellite communication stable value.
Further, the first communication stability coefficient calculation subunit and the second communication stability coefficient calculation subunit each include: the device comprises a time domain gap extraction module, a frequency domain gap extraction module and a stability coefficient calculation module;
The time domain difference extraction module is used for calculating a time domain difference coefficient according to the time domain fusion feature vector and the stored time domain fusion feature standard vector;
the frequency domain gap extraction module is used for calculating a frequency domain gap coefficient according to the frequency domain fusion feature vector and the stored frequency domain fusion feature standard vector;
the stability coefficient calculation module is used for calculating a communication stability coefficient according to the time domain difference coefficient and the frequency domain difference coefficient.
Further, the formula for calculating the time domain gap coefficient is as follows:
，
Wherein θ is a time domain gap coefficient, X n is an nth element in the time domain fusion feature vector, The n-th element in the time-domain fusion feature standard vector is M, the number of the elements in the time-domain fusion feature vector is M, and n is a positive integer.
Further, the formula for calculating the frequency domain gap coefficient is as follows:
，
Wherein mu is a frequency domain gap coefficient, F n is an nth element in the frequency domain fusion feature vector, The n-th element in the frequency domain fusion feature standard vector is L, the number of the elements in the frequency domain fusion feature vector is n, and n is a positive integer.
Further, the formula for calculating the communication stability coefficient is as follows:
，
Where h is a communication stability coefficient, θ is a time domain gap coefficient, μ is a frequency domain gap coefficient, α 1 is a first weighting coefficient, and α 2 is a second weighting coefficient.
The beneficial effects of the above further scheme are: the method comprises the steps of comparing a time domain fusion feature vector with a stored time domain fusion feature standard vector, calculating a time domain difference coefficient, comparing a frequency domain fusion feature vector with a stored frequency domain fusion feature standard vector, calculating a frequency domain difference coefficient, and integrating the time domain difference coefficient and the frequency domain difference coefficient to obtain a communication stability coefficient, wherein the larger the time domain difference coefficient and the frequency domain difference coefficient, the smaller the communication stability coefficient, and the worse the communication stability of the 5G NTN satellite antenna.
Drawings
Fig. 1 is a system block diagram of a 5G NTN satellite communication testing system based on data analysis.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and all the inventions which make use of the inventive concept are protected by the spirit and scope of the present invention as defined and defined in the appended claims to those skilled in the art.
As shown in fig. 1, a 5G NTN satellite communication testing system based on data analysis includes: the device comprises a 5G NTN satellite antenna, a first voltage acquisition unit, a second voltage acquisition unit, a characteristic extraction unit and a communication stable value calculation unit;
The first voltage acquisition unit is used for measuring feeder voltage signals of the 5G NTN satellite antenna when TE waves irradiate the 5G NTN satellite antenna to obtain a first voltage change sequence;
The second voltage acquisition unit is used for measuring feeder voltage signals of the 5G NTN satellite antenna when the 5G NTN satellite antenna is irradiated by TM waves to obtain a second voltage change sequence;
The feature extraction unit is used for extracting a first time domain fusion feature vector and a first frequency domain fusion feature vector from the first voltage change sequence, and extracting a second time domain fusion feature vector and a second frequency domain fusion feature vector from the second voltage change sequence;
The communication stable value calculation unit is used for calculating a 5G NTN satellite communication stable value according to the first time domain fusion feature vector, the first frequency domain fusion feature vector, the second time domain fusion feature vector and the second frequency domain fusion feature vector.
In the present invention, TE waves and TM waves are electromagnetic waves.
The feature extraction unit includes: the device comprises a first segmentation subunit, a second segmentation subunit, a time domain fusion feature extraction subunit, a frequency domain fusion feature extraction subunit, a first time domain fusion feature vector construction subunit, a first frequency domain fusion feature vector construction subunit, a second time domain fusion feature vector construction subunit and a second frequency domain fusion feature vector construction subunit;
the first molecular cutting unit is used for cutting the first voltage change sequence to obtain a plurality of first voltage change subsequences;
The second segmentation subunit is configured to segment the second voltage variation sequence to obtain a plurality of second voltage variation subsequences;
the time domain fusion characteristic extraction subunit is used for respectively extracting time domain fusion characteristic values of each first voltage variation subsequence and each second voltage variation subsequence;
the frequency domain fusion characteristic extraction subunit is used for respectively extracting frequency domain fusion characteristic values of each first voltage variation subsequence and each second voltage variation subsequence;
the first time domain fusion feature vector construction subunit is configured to construct time domain fusion feature values corresponding to all the first voltage variation subsequences into first time domain fusion feature vectors;
The first frequency domain fusion feature vector construction subunit is configured to construct frequency domain fusion feature values corresponding to all the first voltage variation subsequences into first frequency domain fusion feature vectors;
the second time domain fusion feature vector construction subunit is configured to construct time domain fusion feature values corresponding to all the second voltage variation subsequences into second time domain fusion feature vectors;
The second frequency domain fusion feature vector construction subunit is configured to construct frequency domain fusion feature values corresponding to all the second voltage variation subsequences into a second frequency domain fusion feature vector.
In this embodiment, the segmentation of the voltage variation sequence is used to segment the voltage variation sequence.
According to the invention, the first voltage change sequence and the second voltage change sequence are segmented, so that the segmentation of the voltage change sequence is realized, the segmentation is convenient for extracting the time domain fusion characteristic value and the frequency domain fusion characteristic value, the signal characteristic of the time domain fusion characteristic vector representation voltage change sequence on the time domain is constructed, and the signal characteristic of the frequency domain fusion characteristic vector representation voltage change sequence on the frequency domain is constructed.
The expression of the time domain fusion eigenvalue is:
，
Wherein X is a time domain fusion characteristic value, v t is the amplitude of the t-th time point in the first voltage change subsequence or the second voltage change subsequence, N is the number of the amplitude, and t is the number of the time point.
According to the time domain fusion characteristic value, the mean value of the amplitude values and the fluctuation condition of the amplitude values in the time domain are fused, so that the time domain fusion characteristic value can reflect more detail characteristics of signals in the time domain.
The expression of the frequency domain fusion eigenvalue is as follows:
，
wherein, F is a frequency domain fusion eigenvalue, F k is a frequency value corresponding to the kth frequency component, v k is an amplitude corresponding to the kth frequency component, K is the number of frequency components, and K is the number of frequency components.
In the invention, when calculating the frequency domain fusion characteristic value, the first voltage variation subsequence and the second voltage variation subsequence need to be subjected to time-frequency conversion.
According to the frequency domain fusion characteristic value, the center of gravity of the spectrum frequency and the fluctuation condition of the amplitude in the frequency domain are fused, so that the frequency domain fusion characteristic value can reflect the detail characteristics of the signals in the frequency domain more.
The communication stability value calculation unit includes: the device comprises a first communication stability coefficient calculating subunit, a second communication stability coefficient calculating subunit and a stability value calculating subunit;
the first communication stability coefficient calculation subunit is configured to calculate a first communication stability coefficient according to the first time domain fusion feature vector and the first frequency domain fusion feature vector;
The second communication stability coefficient calculating subunit is configured to calculate a second communication stability coefficient according to the second time domain fusion feature vector and the second frequency domain fusion feature vector;
The stable value calculation subunit is used for adding the first communication stable coefficient and the second communication stable coefficient to obtain a 5G NTN satellite communication stable value.
The first communication stability coefficient is obtained under TE wave irradiation, the second communication stability coefficient is obtained under TM wave irradiation, and the TE wave and the TM wave are in two electromagnetic wave modes.
The first communication stability coefficient calculation subunit and the second communication stability coefficient calculation subunit each include: the device comprises a time domain gap extraction module, a frequency domain gap extraction module and a stability coefficient calculation module;
The time domain difference extraction module is used for calculating a time domain difference coefficient according to the time domain fusion feature vector and the stored time domain fusion feature standard vector;
the frequency domain gap extraction module is used for calculating a frequency domain gap coefficient according to the frequency domain fusion feature vector and the stored frequency domain fusion feature standard vector;
the stability coefficient calculation module is used for calculating a communication stability coefficient according to the time domain difference coefficient and the frequency domain difference coefficient.
In the first communication stability coefficient calculation subunit of this embodiment, a time domain gap coefficient is calculated according to the first time domain fusion feature vector and the stored first time domain fusion feature standard vector, and a frequency domain gap coefficient is calculated according to the first frequency domain fusion feature vector and the stored first frequency domain fusion feature standard vector.
In the second communication stability coefficient calculation subunit of this embodiment, a time domain gap coefficient is calculated according to the second time domain fusion feature vector and the stored second time domain fusion feature standard vector, and a frequency domain gap coefficient is calculated according to the second frequency domain fusion feature vector and the stored second frequency domain fusion feature standard vector.
In the invention, the first time domain fusion feature standard vector, the first frequency domain fusion feature standard vector, the second time domain fusion feature standard vector and the second frequency domain fusion feature standard vector are set reference data.
The formula for calculating the time domain difference coefficient is as follows:
，
Wherein θ is a time domain gap coefficient, X n is an nth element in the time domain fusion feature vector, The n-th element in the time-domain fusion feature standard vector is M, the number of the elements in the time-domain fusion feature vector is M, and n is a positive integer.
The formula for calculating the frequency domain gap coefficient is as follows:
，
Wherein mu is a frequency domain gap coefficient, F n is an nth element in the frequency domain fusion feature vector, The n-th element in the frequency domain fusion feature standard vector is L, the number of the elements in the frequency domain fusion feature vector is n, and n is a positive integer.
The formula for calculating the communication stability coefficient is as follows:
，
Where h is a communication stability coefficient, θ is a time domain gap coefficient, μ is a frequency domain gap coefficient, α 1 is a first weighting coefficient, and α 2 is a second weighting coefficient.
In this embodiment, the first weighting coefficient and the second weighting coefficient are set according to the requirements and experiments.
The method comprises the steps of comparing a time domain fusion feature vector with a stored time domain fusion feature standard vector, calculating a time domain difference coefficient, comparing a frequency domain fusion feature vector with a stored frequency domain fusion feature standard vector, calculating a frequency domain difference coefficient, and integrating the time domain difference coefficient and the frequency domain difference coefficient to obtain a communication stability coefficient, wherein the larger the time domain difference coefficient and the frequency domain difference coefficient, the smaller the communication stability coefficient, and the worse the communication stability of the 5G NTN satellite antenna.
The invention adopts TE wave and TM wave to irradiate the 5G NTN satellite antenna, collects feeder voltage signals, constructs a first voltage change sequence and a second voltage change sequence according to the voltage signals on the feeder, respectively extracts a time domain fusion characteristic vector and a frequency domain fusion characteristic vector for the first voltage change sequence and the second voltage change sequence, reflects signal characteristics through the time domain fusion characteristic vector and the frequency domain fusion characteristic vector, and calculates a stable value of 5G NTN satellite communication.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A 5G NTN satellite communications testing system based on data analysis, comprising: the device comprises a 5G NTN satellite antenna, a first voltage acquisition unit, a second voltage acquisition unit, a characteristic extraction unit and a communication stable value calculation unit;
The first voltage acquisition unit is used for measuring feeder voltage signals of the 5G NTN satellite antenna when TE waves irradiate the 5G NTN satellite antenna to obtain a first voltage change sequence;
The second voltage acquisition unit is used for measuring feeder voltage signals of the 5G NTN satellite antenna when the 5G NTN satellite antenna is irradiated by TM waves to obtain a second voltage change sequence;
The feature extraction unit is used for extracting a first time domain fusion feature vector and a first frequency domain fusion feature vector from the first voltage change sequence, and extracting a second time domain fusion feature vector and a second frequency domain fusion feature vector from the second voltage change sequence;
The communication stable value calculation unit is used for calculating a 5G NTN satellite communication stable value according to the first time domain fusion feature vector, the first frequency domain fusion feature vector, the second time domain fusion feature vector and the second frequency domain fusion feature vector.
2. The data analysis-based 5G NTN satellite communication testing system according to claim 1, wherein the feature extraction unit comprises: the device comprises a first segmentation subunit, a second segmentation subunit, a time domain fusion feature extraction subunit, a frequency domain fusion feature extraction subunit, a first time domain fusion feature vector construction subunit, a first frequency domain fusion feature vector construction subunit, a second time domain fusion feature vector construction subunit and a second frequency domain fusion feature vector construction subunit;
the first molecular cutting unit is used for cutting the first voltage change sequence to obtain a plurality of first voltage change subsequences;
The second segmentation subunit is configured to segment the second voltage variation sequence to obtain a plurality of second voltage variation subsequences;
the time domain fusion characteristic extraction subunit is used for respectively extracting time domain fusion characteristic values of each first voltage variation subsequence and each second voltage variation subsequence;
the frequency domain fusion characteristic extraction subunit is used for respectively extracting frequency domain fusion characteristic values of each first voltage variation subsequence and each second voltage variation subsequence;
the first time domain fusion feature vector construction subunit is configured to construct time domain fusion feature values corresponding to all the first voltage variation subsequences into first time domain fusion feature vectors;
The first frequency domain fusion feature vector construction subunit is configured to construct frequency domain fusion feature values corresponding to all the first voltage variation subsequences into first frequency domain fusion feature vectors;
the second time domain fusion feature vector construction subunit is configured to construct time domain fusion feature values corresponding to all the second voltage variation subsequences into second time domain fusion feature vectors;
The second frequency domain fusion feature vector construction subunit is configured to construct frequency domain fusion feature values corresponding to all the second voltage variation subsequences into a second frequency domain fusion feature vector.
3. The data analysis-based 5G NTN satellite communication testing system according to claim 2, wherein the expression of the time-domain fusion eigenvalue is:
，
Wherein X is a time domain fusion characteristic value, v t is the amplitude of the t-th time point in the first voltage change subsequence or the second voltage change subsequence, N is the number of the amplitude, and t is the number of the time point.
4. The data analysis-based 5G NTN satellite communication testing system according to claim 2, wherein the expression of the frequency domain fusion eigenvalue is:
，
wherein, F is a frequency domain fusion eigenvalue, F k is a frequency value corresponding to the kth frequency component, v k is an amplitude corresponding to the kth frequency component, K is the number of frequency components, and K is the number of frequency components.
5. The data analysis-based 5G NTN satellite communication testing system according to claim 2, characterized in that the communication stability value calculation unit comprises: the device comprises a first communication stability coefficient calculating subunit, a second communication stability coefficient calculating subunit and a stability value calculating subunit;
the first communication stability coefficient calculation subunit is configured to calculate a first communication stability coefficient according to the first time domain fusion feature vector and the first frequency domain fusion feature vector;
The second communication stability coefficient calculating subunit is configured to calculate a second communication stability coefficient according to the second time domain fusion feature vector and the second frequency domain fusion feature vector;
The stable value calculation subunit is used for adding the first communication stable coefficient and the second communication stable coefficient to obtain a 5G NTN satellite communication stable value.
6. The data analysis-based 5G NTN satellite communication testing system of claim 5 wherein the first and second communication stability factor calculation subunits each comprise: the device comprises a time domain gap extraction module, a frequency domain gap extraction module and a stability coefficient calculation module;
The time domain difference extraction module is used for calculating a time domain difference coefficient according to the time domain fusion feature vector and the stored time domain fusion feature standard vector;
the frequency domain gap extraction module is used for calculating a frequency domain gap coefficient according to the frequency domain fusion feature vector and the stored frequency domain fusion feature standard vector;
the stability coefficient calculation module is used for calculating a communication stability coefficient according to the time domain difference coefficient and the frequency domain difference coefficient.
7. The data analysis based 5G NTN satellite communication testing system according to claim 6 wherein the formula for calculating the time domain gap coefficient is:
，
Wherein θ is a time domain gap coefficient, X n is an nth element in the time domain fusion feature vector, The n-th element in the time-domain fusion feature standard vector is M, the number of the elements in the time-domain fusion feature vector is M, and n is a positive integer.
8. The data analysis-based 5G NTN satellite communication testing system according to claim 6 wherein the formula for calculating the frequency domain gap coefficient is:
，
Wherein mu is a frequency domain gap coefficient, F n is an nth element in the frequency domain fusion feature vector, The n-th element in the frequency domain fusion feature standard vector is L, the number of the elements in the frequency domain fusion feature vector is n, and n is a positive integer.
9. The data analysis-based 5G NTN satellite communication testing system according to claim 6 wherein the formula for calculating the communication stability factor is:
，
Where h is a communication stability coefficient, θ is a time domain gap coefficient, μ is a frequency domain gap coefficient, α 1 is a first weighting coefficient, and α 2 is a second weighting coefficient.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410642920.7A CN118232990B (en) | 2024-05-23 | 2024-05-23 | 5G NTN satellite communication test system based on data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410642920.7A CN118232990B (en) | 2024-05-23 | 2024-05-23 | 5G NTN satellite communication test system based on data analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118232990A true CN118232990A (en) | 2024-06-21 |
| CN118232990B CN118232990B (en) | 2024-07-23 |
Family
ID=91507788
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410642920.7A Active CN118232990B (en) | 2024-05-23 | 2024-05-23 | 5G NTN satellite communication test system based on data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118232990B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118501606A (en) * | 2024-07-19 | 2024-08-16 | 青岛悠进电装有限公司 | Wire quality detection method based on wire shielding performance |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1300485A (en) * | 1998-03-13 | 2001-06-20 | 艾利森电话股份有限公司 | Testing device and method |
| CN101656971A (en) * | 2009-08-14 | 2010-02-24 | 同济大学 | High-precision wireless channel test bench based on virtual antenna array and method thereof |
| US11012163B1 (en) * | 2019-03-08 | 2021-05-18 | The Governors Of The University Of Alberta | Apparatus and methods for fast and accurate near-field measurement |
| CN115081475A (en) * | 2022-06-08 | 2022-09-20 | 西安电子科技大学 | Interference signal identification method based on Transformer network |
| CN116419286A (en) * | 2022-01-10 | 2023-07-11 | 联发科技股份有限公司 | Method and device for satellite access network measurement |
| CN117574202A (en) * | 2023-11-03 | 2024-02-20 | 西安电子科技大学 | Radar antenna scanning mode identification method based on multi-time sequence feature fusion |
| CN117792538A (en) * | 2024-02-27 | 2024-03-29 | 青岛未来网络创新技术有限公司 | Signal receiving performance test method of vehicle-mounted antenna |
-
2024
- 2024-05-23 CN CN202410642920.7A patent/CN118232990B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1300485A (en) * | 1998-03-13 | 2001-06-20 | 艾利森电话股份有限公司 | Testing device and method |
| CN101656971A (en) * | 2009-08-14 | 2010-02-24 | 同济大学 | High-precision wireless channel test bench based on virtual antenna array and method thereof |
| US11012163B1 (en) * | 2019-03-08 | 2021-05-18 | The Governors Of The University Of Alberta | Apparatus and methods for fast and accurate near-field measurement |
| CN116419286A (en) * | 2022-01-10 | 2023-07-11 | 联发科技股份有限公司 | Method and device for satellite access network measurement |
| CN115081475A (en) * | 2022-06-08 | 2022-09-20 | 西安电子科技大学 | Interference signal identification method based on Transformer network |
| CN117574202A (en) * | 2023-11-03 | 2024-02-20 | 西安电子科技大学 | Radar antenna scanning mode identification method based on multi-time sequence feature fusion |
| CN117792538A (en) * | 2024-02-27 | 2024-03-29 | 青岛未来网络创新技术有限公司 | Signal receiving performance test method of vehicle-mounted antenna |
Non-Patent Citations (1)
| Title |
|---|
| 高嵩: "基于FPGA的相控阵天线波束控制算法优化研究", 《电子技术应用》, 30 September 2021 (2021-09-30) * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118501606A (en) * | 2024-07-19 | 2024-08-16 | 青岛悠进电装有限公司 | Wire quality detection method based on wire shielding performance |
Also Published As
| Publication number | Publication date |
|---|---|
| CN118232990B (en) | 2024-07-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN118232990B (en) | 5G NTN satellite communication test system based on data analysis | |
| CN101442355B (en) | Wireless personal area network communication systems, apparatus and methods with fast adaptive beamforming | |
| CN105891771B (en) | It is a kind of improve estimated accuracy based on continuously distributed angle estimating method and equipment | |
| CN102857310A (en) | Test method and device for wireless indexes of active antenna system | |
| Cornelius et al. | Calculating the envelope correlation coefficient directly from spherical modes spectrum | |
| CN113315560B (en) | Beam forming method of compact planar array Massive MIMO system | |
| CN114584237A (en) | Method for calculating capacity of non-stationary wireless channel in airspace in large-scale antenna array communication | |
| CN109768816A (en) | A kind of non-Gaussian noise 3D-MIMO system data detection method | |
| CN113030847B (en) | Deep learning data set generation method for dual-channel direction finding system | |
| CN111505566B (en) | Ultrahigh frequency radio frequency signal DOA estimation method | |
| CN117559103A (en) | Yagi antenna for collecting very high frequency signals of unmanned aerial vehicle | |
| Jamaly et al. | Effects of coupling and overspeeding on performance of predictor antenna systems in wireless moving relays | |
| Zhang et al. | Multipath suppression with an absorber for UWB wind turbine blade deflection sensing systems | |
| Li et al. | DeFe: Indoor localization based on channel state information feature using deep learning | |
| CN109752633A (en) | The method and system that a kind of pair of transformer station partial discharge signals are positioned | |
| CN101771197B (en) | Method for determining order of cables and device therefor | |
| CN112752339B (en) | Fingerprint database updating method based on large-scale MIMO single-station system | |
| Hu et al. | Method of noise reduction based on SVD and its application in digital receiver front-end | |
| CN109462559B (en) | Sparse millimeter wave channel estimation method in presence of mutual coupling | |
| Zhang et al. | Antenna gain impact on UWB wind turbine blade deflection sensing | |
| Dong et al. | A Weak Signal Detection Method Based on Spatial Spectrum-LSTM Neural Network | |
| CN105553585A (en) | Method and apparatus for constructing large-scale fading model of multi-antenna system | |
| Yin et al. | A Novel Positioning Method based on Leaky Coaxial Cable using TC-OFDM Signal | |
| Jin et al. | Fast and accurate near-field calibration method for phased array antennas | |
| CN116545808B (en) | Hybrid channel estimation method for ultra-large-scale antenna communication system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |