CN115664972A - Self-adaptive power line dual-mode communication system design based on neural network - Google Patents
Self-adaptive power line dual-mode communication system design based on neural network Download PDFInfo
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Abstract
The invention discloses a self-adaptive power line dual-mode communication system based on a neural network, and relates to the technical field of information transmission. The invention is based on the channel environment analysis training model of the neural network and takes various channel parameters as the input of the training model for training. The channel environment analysis module based on the neural network can quickly decide the optimal communication mode. The scene mode recognition training model based on the neural network trains the dual-mode communication scene as the input of the training model. The scene pattern recognition module based on the neural network can quickly complete complex scene recognition work and provides optimal communication strategy selection for the system. The invention can carry out real-time detection and scene mode detection on the parameters of the dual-mode channel, realizes the real-time monitoring on the parameter change of the wired channel and the wireless channel and the self-adaptive adjustment of the system communication strategy, and quickly maintains the dual-mode high-quality communication of the power line.
Description
Technical Field
The invention relates to the technical field of information transmission, in particular to a design of a self-adaptive power line dual-mode communication system based on a neural network.
Background
With the continuous development of the field of industrial internet, the single mode of the traditional power line coupling signal for carrying out wired carrier communication cannot completely meet the requirement of the current communication performance, and when a line fails, emergency maintenance personnel are often required to go to the site, and communication cannot be recovered in time. And the power line dual-mode communication mode which integrates high-speed power line carrier communication (HPLC) and high-speed wireless communication (HRF) solves the problem that the power line carrier communication mode depends on the stability of a power line channel: when the line is damaged or the quality of the wired channel is poor, the wired interruption information and the line fault information can be forwarded in a wireless communication mode, the fault problem can be located in time, and the normal communication of the system is guaranteed.
In the dual-mode communication process, the system detects the signal-to-noise ratio and the signal intensity of a wired channel in real time, sets a threshold value according to channel parameters in a normal working state, judges the reliability of power line carrier communication in real time, converts the mode into a wireless communication mode after reaching an HPLC channel lower limit threshold value, and switches back to the wired communication mode when the wired channel is restored to the normal state.
When an existing power line dual-mode communication system based on a self-adaptive module works, the signal-to-noise ratio and the signal strength of a received signal are mainly used as judgment bases of channel quality, and when the channel quality reaches a certain threshold, the system switches a communication mode. A dual-mode communication module design and implementation based on RSSI self-adaptation (Kongying, lijian super, chengzhing. Science and technology and engineering, 2016, 16 (23): 203-207.DOI 10.3969/j. Issn.1671-1815.2016.23.039) uses Received Signal Strength (RSSI) to evaluate channel quality, adaptively selects a wired channel or a wireless channel according to whether the signal strength accords with a set threshold interval, only uses the received signal strength to evaluate the channel quality, does not fully utilize output signals of each module in the whole receiver system to further analyze the channel quality, and switches the communication mode in two modes of wired communication and wireless communication according to whether the signal strength accords with the threshold interval. A dual-mode adaptive heterogeneous field area network technology is provided in a power distribution and utilization heterogeneous field area network (Huangrui, liu super, liu Lianhai, and the like, an electric power system and an automatic chemical report thereof, 2022,34 (1): 76-83. DOI. But the parameters which can more intuitively reflect the channel quality such as the bit error rate and the bit error rate are not utilized, and the channel coding mode is single.
In summary, the defects of imperfect channel quality evaluation and single adaptive adjustment strategy of the dual-mode system in the conventional dual-mode communication adaptive technology are urgently to be solved. In the aspect of detecting the channel quality, detailed analysis and early warning are not carried out on various channel parameters, and the method is low in timeliness and poor in robustness. If the application scene of the dual-mode communication system changes, the wired and wireless channel parameters of a new scene need to be collected again, a brand-new system communication strategy is set, and the transportability is not high and the practicability is low.
The invention designs a self-adaptive dual-mode communication system aiming at the two defects, calculates and represents the channel environment by acquiring the data of a receiving end through modules such as synchronization, decoding and the like, draws the data acquired by an FFT (fast Fourier transform) and channel estimation module into a constellation diagram, and evaluates the channel quality of the constellation diagram by applying a neural network. The system comprehensively considers the analysis results of the two, and quickly adjusts the coding/modulation mode and the signal intensity of the current communication mode and the baseband data according to a channel analysis model trained by the neural network in advance. In different application environments, the adaptive module can quickly match the currently best scene application mode by training the channel characteristics of a plurality of typical scenes in advance.
Disclosure of Invention
To overcome the above technical problems, the present invention aims to provide a design of an adaptive power line dual-mode communication system based on a neural network.
The purpose of the invention can be realized by the following technical scheme:
the self-adaptive power line dual-mode communication system based on the neural network comprises a power line carrier communication module, a wireless communication module and a dual-mode self-adaptive module; the power line carrier communication module comprises a wired sending end and a wired receiving end; the wireless communication module comprises a wireless sending end and a wireless receiving end; the wired communication module and the wireless communication module respectively comprise the following three data communication modes: a normal receiving and sending mode, a response receiving and sending mode and a scene detection mode; the dual-mode self-adaptive module comprises a channel environment analysis module based on a neural network and a scene application module.
The main modules of the wired transmitting end are as follows: the method comprises the following modules of channel coding, channel interleaving, hierarchical copying, constellation point mapping, IFFT, cyclic prefix adding, windowing, preamble adding and the like. The main modules of the wired receiving end are as follows: and the modules comprise a synchronization module, an FFT module, a demodulation module, a hierarchical combination module, a channel de-interleaving module, a decoding module and the like.
The main modules of the wireless transmitting end are as follows: the system comprises modules of channel coding, channel interleaving, hierarchical copying, constellation point mapping, IFFT, cyclic prefix adding, windowing, preamble adding, up-conversion and the like. The main modules of the wireless receiving end are as follows: down-conversion, synchronization, FFT, channel estimation, demodulation, hierarchical combination, channel de-interleaving, decoding and other modules.
As a further scheme of the invention: the power line carrier communication module and the wireless communication module both use an orthogonal frequency division multiplexing modulation mode, namely OFDM modulation.
As a further scheme of the invention: the normal receiving and sending mode of the wired sending end is that the upper computer sends an effective data frame to a wired data input interface of a physical layer from a data link layer, coded and modulated OFDM data signals are coupled to a low-voltage power line through the sending end for transmission, and after the OFDM data signals are transmitted to a receiving end, the signals are demodulated and decoded and then transmitted back to the upper computer.
As a further scheme of the invention: the wired transmitting end responds to the receiving mode specifically, the upper computer of the transmitting end sends a reference signal for testing channel parameters in the gap of the normal receiving mode, at the moment, the upper computer of the transmitting end starts to switch to a response receiving state, and the upper computer of the receiving end starts to switch to a response transmitting state; the reference signal is coupled to the power line after passing through the sending end, the receiving end sends the data output by the synchronization module, the FFT module and the final decoding module to the self-adaptive module for calculation processing, the processing result of the self-adaptive module is used as response sending data and sent back to the sending end through the receiving end, the response receiving and sending mode is ended, and the upper computer is converted into a normal receiving and sending mode from the response receiving and sending mode.
As a further scheme of the invention: the scene detection mode of the wired communication module is basically consistent with the response receiving and sending mode, but the wired communication module is started when the self-adaptive module works in the scene mode recognition function, so that different application scenes are initialized, and a test signal does not need to be received and sent when a normal working gap of the dual-mode communication system exists.
The specific process of the wireless communication module for normally receiving and transmitting the effective data is as follows: the upper computer sends the effective data frame from the data link layer to a wireless data input interface of a physical layer, the OFDM data signal which is coded and modulated is subjected to up-conversion after passing through a sending end and then is sent out by an antenna radio frequency, and after being received by a receiving end antenna, the signal is subjected to down-conversion and then is sent back to the upper computer in a synchronous, demodulation and decoding mode.
The specific flow of the wireless communication module for answering and receiving test data is approximately the same as that of a wire, and the differences are that a receiving end respectively sends data acquired and output by a synchronization module, an FFT module, a channel estimation module and a final decoding module into a self-adaptive module for calculation processing, the processing result of the self-adaptive module is used as answering and sending data to a sending end, the answering and receiving mode is ended, and an upper computer is converted into a normal receiving and sending mode from the answering and receiving mode.
The wireless communication module scene detection mode is consistent with the wired communication module scene detection mode, and the wireless communication module scene detection mode and the wired communication module scene detection mode are started when the self-adaptive module works in a scene mode recognition function.
As a further scheme of the invention: the channel environment analysis module works in a dual-mode communication response mode, the self-adaptive module collects and processes test signals transmitted to each module of the receiving end, then channel analysis results obtained through processing are fed back to the sending end upper computer, and the sending end upper computer control system makes corresponding changes, so that the dual-mode communication system adapts to the current channel environment.
As a further scheme of the invention: the preprocessing of the channel environment analysis module comprises the following components:
(1) Calculating the signal intensity and the signal-to-noise ratio of the test signal;
(2) Calculating the bit error rate and bit error rate of the test signal;
(3) And drawing a constellation diagram according to the frequency domain data.
As a further scheme of the invention: the scene application module tests a plurality of classical power line dual-mode communication scenes in a scene detection mode, trains channel parameters acquired in a set scene by using a neural network to obtain an optimal communication mode, a coding/modulation mode and signal intensity communication system parameters of each scene, starts the scene application mode to acquire a current channel environment when the power line dual-mode communication system is transplanted, compares the current channel environment with a pre-established scene model to obtain a scene environment which is most matched with the current channel environment, and transmits an analysis result to an upper computer and controls the communication mode of the scene.
The invention has the beneficial effects that:
the invention discloses a self-adaptive power line dual-mode communication system based on a neural network, wherein three different data communication modes of the power line dual-mode system are as follows: the normal receiving and sending mode, the response receiving and sending mode and the scene detection mode ensure the reliability of the dual-mode self-adaptive module during data acquisition and the stability of the dual-mode self-adaptive module during different functions. The channel environment analysis training model of the neural network is based on various channel parameters such as signal-to-noise ratio, signal intensity, bit error rate and the like which are pre-calculated in the self-adaptive module, and innovatively converts frequency domain data in a receiving end into a constellation diagram which is used as input of the training model for training.
The channel environment analysis module of the neural network can detect the change of the channel environment in real time during the working period of the dual-mode system, and quickly decide the communication system parameters such as the optimal communication mode (wired/wireless communication mode), the channel coding mode (Turbo coding/LDPC coding), the modulation mode (BPSK/QPSK/16 QAM), the signal intensity and the like. A scene mode recognition training model of a neural network is expanded on the basis of a training model of a channel environment analysis module based on the neural network, and is added into a typical power line dual-mode communication scene of a street lamp, a tunnel, a factory and the like to be used as the input of the training model for training. The scene mode identification module of the neural network can perform initialization detection on the current environment when the dual-mode system is transplanted, quickly complete complex scene identification work and provide optimal communication strategy selection for the system.
The invention can carry out real-time detection and scene mode detection on the parameters of the dual-mode channel, realize the real-time monitoring on the parameter change of the wired channel and the wireless channel and the self-adaptive adjustment of the system communication strategy, quickly maintain the dual-mode high-quality communication of the power line and ensure the stability of the communication process. The self-adaptive module acquires enough channel parameters of a receiving end through a plurality of channels to carry out neural network-based channel environment analysis model training, analyzes the channel environment in real time, and quickly feeds back the optimal communication strategy under the current channel quality, so that the dual-mode communication system has good communication quality, high stability and strong robustness. In addition, the self-adaptive module trains the channel characteristics of a plurality of typical scenes in advance based on a neural network algorithm, and can quickly complete the initialization configuration of the system communication strategy according to different scenes in the transplanting stage of the dual-mode communication system, so that the self-adaptive module has higher transportability and practicability.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a neural network adaptation-based power line dual-mode communication system of the present invention;
FIG. 2 is a diagram of the overall architecture of the wired communication system of the present invention;
fig. 3 is an overall architecture diagram of the wireless communication system of the present invention;
FIG. 4 is a block diagram of a detailed flow of a channel analysis module of the present invention;
FIG. 5 is a block diagram of a detailed flow of a scene recognition module of the present invention;
fig. 6 is a schematic diagram of a classic power line dual mode application scenario and its channel characteristics.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-6, the neural network adaptive-based power line dual-mode communication system includes a power line carrier communication module, a wireless communication module, and a dual-mode adaptive module, where the power line carrier communication module and the wireless communication module both use an orthogonal frequency division multiplexing modulation method, i.e., OFDM modulation.
The power line carrier communication module is composed of a wired transmitting end and a wired receiving end, and is shown in fig. 2. The main modules of the wired transmitting end are as follows: the method comprises the following modules of channel coding, channel interleaving, hierarchical copying, constellation point mapping, IFFT, cyclic prefix adding, windowing, preamble adding and the like. The main modules of the wired receiving end are as follows: and the modules comprise a synchronization module, an FFT module, a demodulation module, a hierarchical combination module, a channel de-interleaving module, a decoding module and the like.
The wired transmitting end has three data communication modes: a normal receiving and sending mode, a response receiving and sending mode and a scene detection mode.
The specific process of the wired sending end for normally receiving and sending the effective data is as follows: the upper computer sends the effective data frame from the data link layer to a wired data input interface of the physical layer, the coded and modulated OFDM data signal is coupled to a low-voltage power line through a sending end for transmission, and after the coded and modulated OFDM data signal is transmitted to a receiving end, the signal is demodulated and decoded and then transmitted to the upper computer.
The specific flow of the wired sending end for answering and receiving test data is as follows: the upper computer of the sending end sends a reference signal for testing channel parameters in the gap of the normal receiving and sending mode, and at the moment, the upper computer of the sending end starts to switch to a response receiving state, and the upper computer of the receiving end starts to switch to a response sending state. The reference signal is coupled to the power line after passing through the sending terminal, the receiving terminal sends the data output by the synchronization module, the FFT module and the final decoding module to the self-adaptive module for calculation, the processing result of the self-adaptive module is used as response sending data and is sent back to the sending terminal through the receiving terminal, the response receiving and sending mode is ended, and the upper computer is converted into a normal receiving and sending mode from the response receiving and sending mode.
The scene detection mode of the wired transmitting end is basically consistent with the response receiving and sending mode, but the wireless transmitting end is started when the self-adaptive module works in the scene mode recognition function, so that different application scenes are initialized, and a test signal does not need to be received and sent when a normal working gap of the dual-mode communication system exists.
(2) Wireless communication module
The wireless communication module is composed of a wireless transmitting end and a wireless receiving end respectively, and the structure of the wireless communication module is shown in fig. 3. The main modules of the wireless transmitting end are as follows: the system comprises modules of channel coding, channel interleaving, hierarchical copying, constellation point mapping, IFFT, cyclic prefix adding, windowing, preamble adding, up-conversion and the like. The main modules of the wireless receiving end are as follows: down-conversion, synchronization, FFT, channel estimation, demodulation, hierarchical combination, channel de-interleaving, decoding and other modules.
The wireless communication module has three data communication modes: a normal receiving and sending mode, a response receiving and sending mode and a scene detection mode.
The specific process of the wireless communication module for normally receiving and transmitting the effective data is as follows: the upper computer sends the effective data frame from the data link layer to a wireless data input interface of a physical layer, the OFDM data signal which is coded and modulated is subjected to up-conversion after passing through a sending end and then is sent out by an antenna radio frequency, and after being received by a receiving end antenna, the signal is subjected to down-conversion and then is sent back to the upper computer in a synchronous, demodulation and decoding mode.
The specific flow of the wireless communication module for answering the transceiving test data is the same as that of the wired communication module for answering the transceiving test data, and the difference is that the receiving end respectively sends the data acquired from the synchronization module, the FFT module, the channel estimation module and the final decoding module to the self-adaptive module for calculation processing, and sends back the processing result of the self-adaptive module as the answering sending data to the sending end, so that the answering transceiving mode is finished, and the upper computer is converted into the normal transceiving mode from the answering transceiving mode.
The wireless communication module scene detection mode is consistent with the wired communication module scene detection mode, and the wireless communication module scene detection mode and the wired communication module scene detection mode are started when the self-adaptive module works in a scene mode recognition function.
(3) Dual-mode self-adaptive module based on neural network
The dual-mode self-adaptive module consists of a channel environment analysis module based on a neural network and a scene application module.
The channel environment analysis module based on the neural network works in a dual-mode communication response mode, the self-adaptive module collects and processes test signals transmitted to each module of the receiving end, then channel analysis results obtained through processing are fed back to the sending end upper computer, and finally the sending end upper computer control system makes corresponding changes, so that the dual-mode communication system is optimally adapted to the current channel environment.
The preprocessing process of the channel environment analysis module consists of three parts:
1) Calculating the signal intensity and the signal-to-noise ratio of the test signal;
2) Calculating the bit error rate and bit error rate of the test signal;
3) And drawing a constellation diagram according to the frequency domain data.
The specific analysis flow of the channel analysis module is shown in fig. 4: 1. when the receiving and sending mode is responded, the test signal transmitted to the dual-mode receiving end synchronization module is collected to serve as one of the inputs of the self-adaptive module, and the signal intensity and the signal-to-noise ratio are calculated according to the leading symbol; 2. the channel analysis module draws a constellation diagram according to the test data acquired by the synchronization and FFT modules in the power line carrier communication module and the test data acquired by the synchronization, FFT and channel estimation module in the wireless communication mode, and discriminates the constellation diagram by using a channel analysis model established in advance by a neural network to evaluate the current channel environment; 3. acquiring test data demodulated and decoded by a final dual-mode receiving end, and calculating the bit error rate and the bit error rate of a test signal in a channel environment analysis module; 4. an analysis model pre-established by the neural network infers a communication mode, a coding/modulation mode and signal intensity which are most suitable for the current communication state according to parameters such as signal intensity, signal-to-noise ratio, channel environment, bit error rate and bit error rate which are obtained by calculation in the previous three steps, then feeds back the output result of the channel analysis module to an upper computer, and finally the upper computer controls the dual-mode communication system to make corresponding changes.
The working flow of the scene application module based on the neural network is shown in fig. 5, when in a scene detection mode, a plurality of classical power line dual-mode communication scenes are tested, channel parameters acquired in a set scene are trained by using the neural network, and communication system parameters such as an optimal communication mode, an encoding/modulation mode, signal intensity and the like of each scene are obtained. When the power line dual-mode communication system is transplanted, a scene application mode is started to collect the current channel environment, and the current channel environment is compared with a pre-established scene model to obtain a scene environment which is the best matched with the scene environment. The scene application module transmits the analysis result to the upper computer, and an operator controls whether to apply the communication mode of the scene.
(4) Channel environment analysis and scene mode recognition based on neural network
Aiming at the dual-mode self-adaptive module based on the neural network, the model building process based on the channel environment analysis and the scene mode recognition of the neural network comprises a training stage and a recognition stage.
The training stage of the channel environment analysis is to perform combined setting according to parameters of a channel model of power line carrier communication and wireless communication, a channel coding mode (Turbo coding/LDPC coding), a modulation mode (BPSK/QPSK/16 QAM), signal strength and the like, collect data among modules at a receiving end, calculate corresponding parameters (signal strength, signal to noise ratio, bit error rate and bit error rate of a received test signal), draw a constellation diagram, obtain a sufficient data set and establish the channel environment analysis model by applying a neural network related algorithm.
The identification stage of the channel environment analysis is to input the communication mode, channel coding mode, modulation mode and signal strength determined by the test signal in advance, then input the parameters calculated by the real-time signal collected by the receiving end and the drawn constellation diagram into the trained channel environment analysis model for identification, and match the channel environment of the most suitable model, thereby obtaining the optimal communication mode, channel coding mode, modulation mode and signal strength when the system is in a normal receiving and transmitting mode.
In the training stage of scene mode recognition, the classical application scene of power line dual-mode communication in the industrial internet and the channel condition when an emergency occurs are added into the input parameters in the training stage of channel environment analysis, a sufficient data set is obtained in the same way of a channel environment analysis module, and a neural network is applied to establish a model of scene mode recognition, so that the system has higher transportability. The classic power line application scenes added by the training model for scene pattern recognition are as follows: street lamp, tunnel and factory based on power line dual mode communication, as shown in fig. 6. On the characteristic of a dual-mode channel, a power line carrier communication environment of a street lamp is general, line faults easily occur due to rainwater and weather, a wireless transmission environment is stable, a transmission path is empty, but the street lamp is far away in interval and less in obstruction; the tunnel power line carrier communication environment is good, the length of a power line is shorter than that of a street lamp scene, the probability of line faults is lower, but the wireless communication environment is poor, the space is narrow, and traffic jam is easy to occur; the factory dual-mode communication environment is relatively complex, power lines are distributed densely, the quality of a power line carrier communication environment is poor, a factory is generally assembly line operation, the power utilization time of a specific machine is relatively fixed, the wireless communication environment is different, a workshop is internally provided with a plurality of large machine tools, the positions of the machine tools are relatively fixed, the channel environment is relatively stable during wireless transmission, the workshop and the workshop are blocked by a wall, the signal strength received by a receiving end during wireless transmission is not high, and the signal noise ratio is poor.
In the scene mode identification stage, when the dual-mode communication system is installed, the system starts a scene detection mode, the communication mode, the channel coding mode, the modulation mode and the signal intensity of a test signal are predetermined, then a real-time signal acquired by a receiving end is input into a trained scene mode identification model for identification, and the channel environment and the application scene which are most suitable for the model are matched, so that the communication mode, the channel coding mode, the modulation mode and the signal intensity which are optimal for the signal when the normal receiving and sending mode of the system is initialized are obtained.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (7)
1. The self-adaptive power line dual-mode communication system based on the neural network is characterized by comprising a power line carrier communication module, a wireless communication module and a dual-mode self-adaptive module; the power line carrier communication module comprises a wired sending end and a wired receiving end; the wireless communication module comprises a wireless sending end and a wireless receiving end; the wired communication module and the wireless communication module respectively comprise the following three data communication modes: a normal receiving and sending mode, a response receiving and sending mode and a scene detection mode; the dual-mode self-adaptive module comprises a channel environment analysis module based on a neural network and a scene application module.
2. The adaptive power line dual-mode communication system based on the neural network as claimed in claim 1, wherein the power line carrier communication module and the wireless communication module both use an orthogonal frequency division multiplexing modulation scheme.
3. The dual-mode communication system of the adaptive power line based on the neural network as claimed in claim 1, wherein the normal transceiving mode of the wired transmitting end is specifically that the upper computer transmits the valid data frame from the data link layer to the wired data input interface of the physical layer, the OFDM data signal which is coded and modulated is coupled to the low-voltage power line through the transmitting end for transmission, and after the OFDM data signal is transmitted to the receiving end, the signal is demodulated and decoded and then transmitted back to the upper computer.
4. The self-adaptive power line dual-mode communication system based on the neural network as claimed in claim 3, wherein the answering transceiving mode of the wired transmitting end is characterized in that the upper computer of the transmitting end transmits a reference signal for testing channel parameters in a gap of a normal transceiving mode, at this time, the upper computer of the transmitting end starts to switch to an answering receiving state, and the upper computer of the receiving end starts to switch to an answering transmitting state; the reference signal is coupled to the power line after passing through the sending terminal, the receiving terminal sends the data output by the synchronization module, the FFT module and the final decoding module to the self-adaptive module for calculation, the processing result of the self-adaptive module is used as response sending data and is sent back to the sending terminal through the receiving terminal, the response receiving and sending mode is ended, and the upper computer is converted into a normal receiving and sending mode from the response receiving and sending mode.
5. The adaptive power line dual-mode communication system based on the neural network as claimed in claim 1, wherein the channel environment analysis module works in a dual-mode communication response mode, the adaptive module collects and processes test signals transmitted to each module of the receiving end, then feeds back a channel analysis result obtained by processing to the sending end upper computer, and the sending end upper computer control system makes a corresponding change so that the dual-mode communication system adapts to a current channel environment.
6. The neural network-based adaptive power line dual-mode communication system according to claim 5, wherein the preprocessing of the channel environment analysis module comprises the following components:
(1) Calculating the signal intensity and the signal-to-noise ratio of the test signal;
(2) Calculating the bit error rate and bit error rate of the test signal;
(3) And drawing a constellation diagram according to the frequency domain data.
7. The adaptive power line dual-mode communication system based on the neural network as claimed in claim 1, wherein the scene application module tests a plurality of classical power line dual-mode communication scenes in a scene detection mode, trains channel parameters acquired in a given scene by using the neural network to obtain communication system parameters such as a communication mode, a coding/modulation mode, signal intensity and the like which are optimal for each scene, starts the scene application mode to acquire a current channel environment when the power line dual-mode communication system is transplanted, compares the current channel environment with a pre-established scene model to obtain a scene environment which is the most matched with the current channel environment, and transmits an analysis result to an upper computer and controls the communication mode of the scene.
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| CN117241297A (en) * | 2023-10-13 | 2023-12-15 | 山东华信通讯科技有限公司 | Method and device for evaluating transmission channel of dual-mode communication |
| CN117241297B (en) * | 2023-10-13 | 2024-04-26 | 山东华信通讯科技有限公司 | Method and device for evaluating transmission channel of dual-mode communication |
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