A high-precision positioning system for a communication module based on a 5G network

Abstract

The application discloses a high-precision positioning system for a communication module based on a 5G network, and belongs to the technical field of communication positioning, which comprises a 5G communication module, a positioning algorithm module, an antenna module, a sensor module, a data processing and storage module, a signal compensation module, a power management module and a wireless transmission module. The high-precision positioning system for the communication module based on the 5G network can realize high-precision and high-reliability positioning functions in a complex environment through the cooperative work of the modules, and can effectively filter interference signals by analyzing and compensating 5G signals through the signal compensation module, and improve the reliability of signal transmission through the training of the compensation module.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of communication positioning, and particularly relates to a high-precision positioning system for a communication module based on a 5G network. BACKGROUND

[0002] With the rapid development of science and technology, high-precision positioning technology has shown great application value in many fields, such as intelligent transportation, logistics management, industrial automation, and the Internet of Things. In complex application scenarios, accurately obtaining the position information of objects is the key to realizing intelligent control and efficient operation.

[0003] Existing positioning technologies mainly rely on satellite positioning systems, such as the Global Positioning System (GPS); however, satellite positioning has obvious limitations in some special environments, for example, in indoor, urban high-rise dense areas, underground parking lots, and other areas, satellite signals are easily blocked, resulting in a significant decrease in positioning accuracy or even the inability to position; at the same time, the update frequency of satellite positioning is relatively low, and there may be problems of attenuation and interference in signal transmission, which can affect the accuracy and reliability of positioning. SUMMARY

[0004] Problems to be solved

[0005] In view of the problem that in the existing airport reversing scene, in addition to identifying obstacles, the vehicle compartment also needs to be identified to avoid false alarms caused by regarding the vehicle compartment as an obstacle, the application provides a high-precision positioning system for a communication module based on a 5G network.

[0006] Technical scheme

[0007] To solve the above problems, the application adopts the following technical scheme.

[0008] A high-precision positioning system for a communication module based on a 5G network, comprising:

[0009] 5G communication module: responsible for communicating with a 5G base station, receiving and sending data information related to positioning, and realizing interconnection and intercommunication between devices;

[0010] Positioning algorithm module: used for positioning processing and analysis of signals to improve the accuracy of positioning;

[0011] Antenna module: used for enhancing the receiving and transmitting capabilities of signals to improve the overall strength and quality of signals;

[0012] Sensor module: used for measuring the motion state and attitude information of the device;

[0013] Data processing and storage module: used for real-time processing and analysis of data transmitted by each module, and storing processed signal information of various types;

[0014] signal compensation module: for enhancing the accuracy and reliability of signal compensation;

[0015] power management module: provides stable power supply for various modules in the positioning system, and manages and optimizes the power supply;

[0016] wireless transmission module: for wireless connection and communication with other devices or systems.

[0017] Preferably, the signal compensation module includes a data acquisition module, a data preprocessing module, a model construction module and a compensation implementation module; when the signal compensation module is running, the specific method is as follows:

[0018] S1, the data acquisition module collects various signal feature data from the 5G communication module, including signal strength, signal arrival time, signal arrival angle, and collects environmental related data, including temperature, humidity, air pressure, building distribution, topography and other information;

[0019] S2, the data preprocessing module identifies and removes outliers in the collected data, and interpolates and fills in the missing data;

[0020] S3, the data preprocessing module further standardizes the data processed in step S2, so that the data has the same scale and distribution;

[0021] S4, according to the characteristics and requirements of signal compensation, a deep learning model is selected, and the preprocessed data is divided into a data set through the model construction module, and the divided data set is input into the deep learning model;

[0022] S5, according to the loss function, the deep learning model is trained using the input data set to obtain an AI compensation model;

[0023] S6, input the signal data and environmental data collected by the data acquisition module in real time into the constructed AI compensation model, and the AI compensation model calculates and analyzes according to the input model, predicts the interference and attenuation that the signal may suffer in the propagation process, and gives the corresponding compensation value.

[0024] Preferably, the positioning algorithm module includes a fusion positioning algorithm unit module, a signal processing and analysis unit module, and an optimization and correction unit module;

[0025] The fusion positioning algorithm unit module is used to fuse 5G positioning technology with other positioning technologies, and comprehensively utilize multiple positioning information to improve positioning accuracy;

[0026] The signal processing and analysis unit module is used for processing and analyzing the received 5G signal, extracting the characteristic parameters of the signal, and providing data support for positioning calculation;

[0027] The optimization and correction unit module is used for optimizing and correcting the positioning results by using machine learning and big data technology, adjusting the parameters of the positioning algorithm according to the actual environment and signal characteristics, so as to adapt to different scenes and improve the accuracy of positioning.

[0028] Further, the antenna module includes a high-gain antenna and a smart antenna.

[0029] The high-gain antenna is used to enhance the receiving and transmitting capability of the 5G signal, and improve the strength and quality of the signal. The smart antenna has the function of beamforming, and can automatically adjust the beam direction of the antenna according to the propagation direction and strength of the signal, so that the signal can be better focused on the target device, reducing signal interference and improving positioning accuracy.

[0030] The high-gain antenna and the smart antenna are combined in an antenna array manner to realize multi-angle receiving and processing of the signal, and use the spatial characteristics of the signal for positioning, improving the resolution and accuracy of positioning.

[0031] Preferably, the sensor module includes an inertial measurement unit module and an air pressure sensor module.

[0032] The inertial measurement unit module includes an accelerometer, a gyroscope and a magnetic needle. The inertial measurement unit is used to measure the motion state and attitude information of the device. On the basis of 5G positioning, the position of the device is tracked and predicted by combining IMU data, and when the signal is blocked or the positioning accuracy is temporarily reduced, the inertial navigation is used to assist positioning, improving the continuity and stability of positioning.

[0033] The air pressure sensor module is used to measure the environmental air pressure, and calculate the height information of the device through the change of air pressure, to assist the 5G positioning system to realize high-precision positioning in three-dimensional space.

[0034] Further, the data processing and storage module includes a data processor and a memory.

[0035] The data processor is used for real-time processing and analysis of data from the 5G communication module, the positioning algorithm module and the sensor module, and coordinates the work between the modules. At the same time, it is responsible for the calculation task of the positioning algorithm, and quickly and accurately obtains the positioning result.

[0036] The memory is used to store the data of the positioning system.

[0037] Further, the data stored in the memory includes historical positioning data, signal characteristic data, map information and algorithm parameters.

[0038] Further, in the S4, when the data is divided into data sets, the specific division includes a training set, a validation set and a test set.

[0039] Further, the number of the training set, the validation set and the test set is 8:1:1.

[0040] Beneficial effects

[0041] Compared with the prior art, the beneficial effects of the present application are:

[0042] (1) The present application can realize high-precision and high-reliability positioning function in complex environment through the cooperative work of each module and the high-precision positioning system based on the communication module of 5G network, and can effectively filter interference signals through the analysis and compensation of the signal compensation module, and improve the reliability of signal transmission through the training of the compensation module. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments or examples of the present application, the drawings needed to be used in the embodiments or example descriptions will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and should not be considered as a limitation to the scope. For those skilled in the art, other drawings can also be obtained without creative labor.

[0044] Figure 1 It is a system structure diagram of the present application;

[0045] Figure 2 It is a work flow diagram of the signal compensation module in the system of the present application. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be described clearly and completely in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all the embodiments. The components of the embodiments of the present application described and shown in the drawings can be arranged and designed in various different configurations.

[0047] Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of the present application.

[0048] Embodiment 1

[0049] As Figure 1 shown, a high-precision positioning system for a communication module based on a 5G network includes:

[0050] 5G communication module:

[0051] A high-performance communication chip supporting the 5G network standard is selected and integrated into the system. The module establishes a communication connection with the 5G base station to achieve the reception and transmission of positioning-related data information. At the same time, the low latency and high bandwidth characteristics of the 5G network are utilized to ensure fast and stable interconnection between devices.

[0052] In specific implementation, such as in the positioning application of logistics vehicles, the 5G communication module can upload the vehicle's position information to the monitoring center in real time, while receiving instructions from the center.

[0053] Positioning algorithm module:

[0054] Fusion positioning algorithm unit module: fuse 5G positioning technology with satellite positioning, Wi-Fi positioning, Bluetooth positioning, etc. In different application scenarios, according to the quality and availability of signals, dynamically select appropriate positioning technology or comprehensively utilize multiple technologies.

[0055] In specific implementation, such as in open outdoor areas, 5G positioning and satellite positioning are mainly used; in indoor areas, Wi-Fi positioning and Bluetooth positioning are combined to improve positioning accuracy.

[0056] Signal processing and analysis unit module: adopt advanced signal processing algorithms to filter, denoise, feature extraction, etc. for the received 5G signals.

[0057] In specific implementation, such as through fast Fourier transform to analyze the frequency spectrum characteristics of the signal, extract signal strength, time of arrival, angle of arrival, etc. Feature parameters provide accurate data support for subsequent positioning calculation.

[0058] Optimization and correction unit module: use machine learning and big data technology to analyze and mine historical positioning data. Establish a positioning error model, adjust the parameters of the positioning algorithm in real time according to the actual environment and signal characteristics.

[0059] In specific implementation, such as in urban high-rise dense areas, by analyzing a large amount of signal data, the positioning error law of a specific area is found, and the real-time positioning result is corrected to improve the accuracy of positioning.

[0060] Antenna module:

[0061] High-gain antenna: Select a 5G antenna with high gain characteristics and install it in the appropriate location of the system. High-gain antennas can enhance the reception and transmission capabilities of 5G signals, improving signal strength and quality.

[0062] In specific implementation, such as in mountainous or remote areas, high-gain antennas can effectively expand the signal coverage range, ensuring the normal operation of the positioning system.

[0063] Smart antenna: Use a smart antenna with beamforming function, and the smart antenna can automatically adjust the beam direction of the antenna through the built-in algorithm, real-time monitoring the propagation direction and strength of the signal.

[0064] In specific implementation, such as in urban environments, when the signal is blocked by buildings, the smart antenna can focus the beam on the signal reflection path, reducing signal interference and improving positioning accuracy.

[0065] Antenna array: Combine high-gain antennas and smart antennas in the form of an antenna array. Antenna arrays can achieve multi-angle reception and processing of signals, and use the spatial characteristics of signals for positioning.

[0066] In specific implementation, such as through phase and amplitude analysis of signals received by multiple antennas, accurately calculating the angle of arrival of signals, improving the resolution and accuracy of positioning.

[0067] Sensor module:

[0068] Inertial Measurement Unit (IMU) module: Select an IMU sensor containing an accelerometer, gyroscope, and magnetometer. The accelerometer measures the acceleration of the device, the gyroscope measures the angular velocity of the device, and the magnetometer measures the magnetic field direction of the device. On the basis of 5G positioning, combine IMU data to track and predict the position of the device.

[0069] In specific implementation, such as when the device enters a signal-shielded area, use IMU data for inertial navigation to predict the motion trajectory of the device, ensuring the continuity and stability of positioning.

[0070] Barometric pressure sensor module: Install a high-precision barometric pressure sensor to measure environmental air pressure. According to the relationship between air pressure changes and altitude, calculate the height information of the device. In three-dimensional space positioning applications, the barometric pressure sensor can assist the 5G positioning system to accurately determine the altitude of the device, achieving high-precision three-dimensional positioning.

[0071] In specific implementation, during the flight of the unmanned aerial vehicle, the barometric pressure sensor can provide real-time height information of the unmanned aerial vehicle, cooperating with 5G positioning to achieve precise flight control.

[0072] Data processing and storage module:

[0073] Data processor: high-performance multi-core processors such as ARM architecture processors are used; the data processor is responsible for real-time processing and analysis of data from the 5G communication module, positioning algorithm module, and sensor module; it coordinates the work between various modules to ensure smooth transmission and processing of data; at the same time, it performs the calculation task of the positioning algorithm and quickly and accurately obtains the positioning result.

[0074] In specific implementation, such as in the scenario of automatic driving of vehicles, the data processor needs to process a large amount of sensor data and positioning information in a short time to realize real-time path planning and decision-making.

[0075] Memory: large-capacity flash memory is selected; the memory is used to store various data of the positioning system, including historical positioning data, signal feature data, map information, algorithm parameters, etc.; these data can be used for subsequent data analysis, algorithm optimization, and system upgrade; for example, through analysis of historical positioning data, the positioning error law in different scenarios can be found to further optimize the positioning algorithm.

[0076] Signal compensation module:

[0077] Data acquisition module: signal strength, signal arrival time, signal arrival angle, and other signal feature data are collected from the 5G communication module, and temperature, humidity, air pressure, building distribution, and topography related environmental data are collected through environmental sensors. For example, in different seasons and weather conditions, signal data under different environmental parameters are collected to provide rich data samples for subsequent compensation models.

[0078] Data preprocessing module: first, identify and remove outliers in the collected data, use the standard deviation-based method, and consider data points deviating from the mean by a certain multiple of standard deviation as outliers and remove them; then, interpolate and fill in missing data, such as using linear interpolation; finally, standardize the processed data, use Z-score standardization method to make the data have the same scale and distribution, and improve the training effect of the subsequent model.

[0079] Model construction module: according to the characteristics and requirements of signal compensation, select a deep learning model such as the long short-term memory network variant of recurrent neural network; divide the preprocessed data into training set, validation set, and test set according to the ratio of 8:1:1. Input the divided data set into the LSTM model, use the random gradient descent optimization algorithm to train the model according to the mean square error loss function, and obtain the AI compensation model.

[0080] Compensation implementation module: input the signal data and environmental data collected by the data acquisition module in real time into the constructed AI compensation model. The AI compensation model calculates and analyzes the input data, predicts the interference and attenuation that the signal may suffer during transmission, and gives the corresponding compensation value; apply the compensation value to the signal received by the 5G communication module, adjust the gain, phase and other parameters of the communication module to realize signal compensation and improve the quality and reliability of the signal.

[0081] Power management module:

[0082] An efficient power management chip is used to provide stable power supply for each module in the positioning system. The power management module has intelligent charging and discharging control function, which can dynamically adjust the power according to the working state of each module.

[0083] In specific implementation, such as when the system is in standby state, reduce the power output, reduce energy consumption; when the system carries out a large amount of data processing and positioning calculation, ensure to provide enough power support. At the same time, the power management module also has overvoltage, overcurrent and overheat protection function, improves the safety and stability of the system.

[0084] Wireless transmission module:

[0085] Select modules that support multiple wireless communication protocols, such as Wi-Fi, Bluetooth, etc. The wireless transmission module is used for wireless connection and communication with other devices or systems. For example, in smart home applications, the positioning system can send the location information of the device to the mobile phone APP through the wireless transmission module, realizing remote monitoring and control. At the same time, the wireless transmission module can also interact with other Internet of Things devices to realize more extensive application scenarios.

[0086] Referring to Figure 1 、 Figure 2 , when the system is running, the 5G communication module establishes communication connection with the 5G base station, starts to receive and send positioning related data information; the antenna module enhances the receiving and transmitting ability of the signal, ensures the strength and quality of the signal; the sensor module measures the motion state, attitude information and environmental pressure of the device in real time.

[0087] The data processing and storage module processes and analyzes the data transmitted by each module in real time, and stores the processed signal information; the positioning algorithm module processes and analyzes the signal, and comprehensively utilizes multiple positioning technologies and algorithms to improve the accuracy of positioning.

[0088] The signal compensation module continuously collects signal feature data and environmental data, compensates the signal in real time through an AI compensation model, and enhances the reliability of signal transmission. The power management module provides stable power supply for each module and optimizes power management. The wireless transmission module sends the positioning results and related data to other devices or systems to realize data sharing and application.

[0089] Through the cooperative work of the above modules, the high-precision positioning system based on the 5G network communication module can realize high-precision and high-reliability positioning function in complex environment. At the same time, the signal compensation module can effectively filter interference signals and improve the reliability of signal transmission through the training of the compensation module.

[0090] Embodiment 2

[0091] Reference Figures 1-2 A high-precision positioning system based on a 5G network communication module, which is basically the same as embodiment 1, and further, the signal compensation module further includes an evaluation and analysis module, which can evaluate and analyze the compensation effect of the signal. In the actual analysis process, it specifically includes the following contents:

[0092] Signal strength evaluation and analysis:

[0093] Measurement comparison: In the case of signal compensation and no signal compensation, the signal strength of the receiving end is measured respectively; using a signal strength meter, record the signal strength values before and after compensation under the same position and environmental conditions.

[0094] Calculate the improvement ratio: evaluate the compensation effect by calculating the improvement ratio of signal strength, the formula is: signal strength improvement ratio = (compensation after signal strength-compensation before signal strength) / compensation before signal strength x 100%.

[0095] At this time, the higher the signal strength improvement ratio, the better the effect of signal compensation in enhancing signal strength.

[0096] Signal quality evaluation and analysis:

[0097] Bit error rate: bit error rate is the proportion of error code elements in the total code elements in the signal transmission process; a large number of data transmission tests are carried out before and after compensation, the number of error codes is counted, and the bit error rate is calculated; the lower the bit error rate, the higher the signal quality, the better the signal compensation effect.

[0098] Signal-to-noise ratio: signal-to-noise ratio is the ratio of signal power to noise power; use spectrum analyzer and other equipment to measure the signal-to-noise ratio before and after compensation; the improvement of signal-to-noise ratio means that the recognition degree of signal in noise environment is enhanced, which shows that the signal compensation effectively suppresses the noise interference and improves the signal quality.

[0099] Positioning Performance Dimension Evaluation Analysis:

[0100] True Position Comparison: Conduct positioning tests with and without signal compensation respectively on test points with known accurate positions; compare the positioning results with the true positions, such as using root mean square error, mean absolute error, etc. to evaluate the improvement of positioning accuracy. The formula for calculating root mean square error is as follows:

[0101]

[0102] Where P is the positioning result, Q is the true position, and n is the number of tests; the smaller the RMSE, the higher the positioning accuracy.

[0103] Positioning Error Distribution: Analyze the distribution of positioning errors before and after compensation; observe the concentration and dispersion of errors. If the distribution of positioning errors after compensation is more concentrated in a smaller range, it indicates that signal compensation helps to improve the stability and accuracy of positioning.

[0104] Positioning Success Rate Evaluation Analysis:

[0105] Multiple Test Statistics: Conduct a large number of positioning tests under different environmental conditions, record the number of successful positioning times with and without signal compensation;

[0106] Positioning Success Rate = Successful Positioning Times / Total Test Times x 100%.

[0107] The improvement of positioning success rate indicates that signal compensation can reduce the positioning failure caused by signal problems, enhancing the reliability of the positioning system.

[0108] System Reliability Dimension Evaluation Analysis:

[0109] Long-term Monitoring: Conduct long-term continuous operation monitoring of the system, observe the stability of the system after signal compensation; record the changes of signal strength, positioning results, etc. over time, analyze whether there are large fluctuations or abnormalities; if the parameters remain relatively stable over a long period of time, it indicates that signal compensation helps to improve the stability of the system.

[0110] Anti-interference ability: Test in an environment with external interference sources, compare the anti-interference ability of the system before and after compensation; observe the degree of change in signal strength and positioning accuracy under interference to evaluate the anti-interference ability; if the performance of the system after compensation decreases less in the interference environment, it indicates that signal compensation enhances the anti-interference ability of the system.

[0111] Robustness Evaluation Analysis:

[0112] Different environmental adaptability: Test under various environmental conditions to evaluate the effect of signal compensation in different environments. If signal compensation can significantly improve signal quality and positioning performance in various environments, it indicates that the system has strong robustness.

[0113] Comprehensive cost-benefit dimension evaluation analysis:

[0114] Monitoring hardware resource usage: Monitor the consumption of computing resources such as CPU usage and memory occupancy during the operation of the AI-driven signal compensation system. Excessive consumption of computing resources may cause the system to run slowly, even affecting the normal operation of other functions; by optimizing AI models and algorithms, the consumption of computing resources is reduced while ensuring compensation effect.

[0115] Measure energy consumption changes: For some mobile devices or systems that need to be powered by batteries, measure the energy consumption before and after signal compensation; if signal compensation leads to a significant increase in energy consumption, it may affect the device's endurance. Therefore, a balance needs to be struck between compensation effect and energy consumption to assess whether the increase in energy consumption is within an acceptable range.

[0116] In summary, through the coordinated work of various modules, the communication module based on 5G network can achieve high-precision and high-reliability positioning function in complex environment with high-precision positioning system, and the signal compensation module can effectively filter out interference signals and improve the reliability of signal transmission through the training of the compensation module.

[0117] The above-described embodiments only express the preferred embodiments of the present application, which are described in detail and specifically, but should not be construed as limiting the scope of the present patent. It should be noted that for ordinary skilled persons in the art, without departing from the concept of the present application, a number of modifications, improvements and substitutions can be made, which are within the scope of protection of the present application.

Claims

1. A high-precision positioning system for a 5G network-based communication module, characterized by, Comprise: 5G communication module: responsible for communication with 5G base station, receive and send positioning related data information, at the same time realize the interconnection between devices; Positioning algorithm module: used for positioning processing and analysis of signal, improve the accuracy of positioning; Antenna module: used to enhance the receiving and transmitting ability of signal, improve the overall strength and quality of signal; Sensor module: used to measure the motion state and attitude information of the device; Data processing and storage module: used for real-time processing and analysis of data transmitted by each module, and storing various signal information after processing; Signal compensation module: used to enhance the accuracy and reliability of signal compensation; Power management module: provides stable power supply for each module in the positioning system, and manages and optimizes the power supply; Wireless transmission module: used for wireless connection and communication with other devices or systems; The signal compensation module comprises a data acquisition module, a data preprocessing module, a model construction module and a compensation implementation module; when the signal compensation module is running, the specific method is as follows: S1, the data acquisition module collects various signal characteristic data from the 5G communication module, including signal strength, signal arrival time, signal arrival angle, and collects environmental related data, including temperature, humidity, air pressure, building distribution, topography and other information; S2, the data preprocessing module identifies and removes outliers in the collected data, and fills in the missing data by interpolation; S3, the data preprocessing module further standardizes the data processed in step S2, so that the data has the same scale and distribution; S4, according to the characteristics and requirements of signal compensation, select deep learning model, and divide the preprocessed data into data set through model construction module, and input the divided data set into deep learning model; S5, according to the loss function, use the input data set to train the deep learning model, get the AI compensation model; S6, input the signal data and environmental data collected by the data acquisition module into the constructed AI compensation model, and the AI compensation model calculates and analyzes according to the input model, predicts the interference and attenuation of the signal in the propagation process, and gives the corresponding compensation value.

2. The high-precision positioning system for communication modules based on a 5G network according to claim 1, characterized in that: The positioning algorithm module comprises a fusion positioning algorithm unit module, a signal processing and analysis unit module and an optimization and correction unit module; The fusion positioning algorithm unit module is used for fusing 5G positioning technology with other positioning technologies, comprehensively utilizing various positioning information to improve positioning accuracy; The signal processing and analysis unit module is used for processing and analyzing the received 5G signal, extracting the characteristic parameters of the signal, and providing data support for positioning calculation; The optimization and correction unit module is used for optimizing and correcting the positioning results by using machine learning and big data technology, adjusting the parameters of the positioning algorithm according to the actual environment and signal characteristics, so as to adapt to different scenes and improve the accuracy of positioning.

3. The high-precision positioning system for communication modules based on 5G networks according to claim 1, characterized in that: The antenna module comprises a high gain antenna and an intelligent antenna; The high-gain antenna is used to enhance the receiving and transmitting capability of 5G signals, improve the strength and quality of signals; the smart antenna has the function of beamforming, etc., can automatically adjust the beam direction of the antenna according to the propagation direction and strength of the signal, so that the signal can be better focused on the target device, reduce signal interference, and improve positioning accuracy. The high-gain antenna and the smart antenna are combined in an antenna array mode to realize multi-angle receiving and processing of signals, and use the spatial characteristics of signals for positioning to improve the resolution and accuracy of positioning.

4. The high-precision positioning system for communication modules based on 5G networks according to claim 1, characterized in that: The sensor module includes an inertial measurement unit module and an air pressure sensor module. The inertial measurement unit module includes an accelerometer, a gyroscope and a magnetic needle; the inertial measurement unit is used to measure the motion state and attitude information of the device; on the basis of 5G positioning, the position of the device is tracked and predicted in combination with IMU data, and when the signal is blocked or the positioning accuracy is temporarily reduced, the inertial navigation is used to assist positioning, thereby improving the continuity and stability of positioning. The air pressure sensor module is used to measure the ambient air pressure, and the height information of the device is calculated through the air pressure change to assist the 5G positioning system to realize high-precision positioning in three-dimensional space.

5. The high-precision positioning system for communication modules based on 5G networks according to claim 1, characterized in that: The data processing and storage module includes a data processor and a memory. The data processor is used to process and analyze the data from the 5G communication module, the positioning algorithm module and the sensor module in real time, coordinate the work between the modules, and at the same time, is responsible for the calculation task of the positioning algorithm to quickly and accurately obtain the positioning result. The memory is used to store the data of the positioning system.

6. The high-precision positioning system for a communication module based on a 5G network according to claim 5, characterized in that: The data stored in the memory includes historical positioning data, signal feature data, map information and algorithm parameters.

7. The high-precision positioning system for communication modules based on 5G networks according to claim 1, characterized in that: In the S4, when the data is divided into data sets, the specific division content includes: training set, validation set and test set.

8. The high-precision positioning system for a communication module based on a 5G network according to claim 7, characterized in that: The number ratio of the training set, the validation set and the test set is 8:1:1.

Images