High-precision positioning system for communication module based on 5G network

Abstract

The invention discloses a high-precision positioning system for a communication module based on a 5G network, and belongs to the technical field of communication positioning. A positioning algorithm module; an antenna module; a sensor module; a data processing and storage module; a signal compensation module; a power management module; according to the high-precision positioning system for the communication module based on the 5G network, through cooperative work of all the modules, the high-precision positioning system for the communication module based on the 5G network can realize a high-precision and high-reliability positioning function in a complex environment, and meanwhile, the signal compensation module is adopted to analyze and compensate a 5G signal, so that the accuracy of the 5G signal is improved. Interference signals can be effectively filtered, and the reliability of signal transmission is improved through training of the supplementary module.

Description

Technical Field

[0001] The present invention belongs to the technical field of communication positioning, and specifically relates to a high-precision positioning system for a communication module based on a 5G network. Background Art

[0002] With the rapid development of technology, high-precision positioning technology has shown great application value in many fields, such as intelligent transportation, logistics management, industrial automation, the Internet of Things, etc. In complex application scenarios, accurately obtaining the position information of an object 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 areas such as indoors, densely populated urban high-rise areas, and underground parking lots, satellite signals are easily blocked, resulting in a significant decrease in positioning accuracy or even inability to position; at the same time, the update frequency of satellite positioning is relatively low, and there may be attenuation and interference problems in signal transmission, which may all affect the accuracy and reliability of positioning. Summary of the Invention

[0004] Problems to be Solved

[0005] In view of the problem that in the existing airport reversing scenario, in addition to identifying obstacles, it is also necessary to identify the carriage to avoid misidentifying the carriage as an obstacle and generating false alarms, the present invention provides a high-precision positioning system for a communication module based on a 5G network.

[0006] Technical Solution

[0007] To solve the above problems, the present invention adopts the following technical solutions.

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

[0009] A 5G communication module: responsible for communicating with a 5G base station, receiving and sending positioning-related data information, and at the same time realizing interconnection and interoperability between devices;

[0010] A positioning algorithm module: used for positioning and analyzing signals to improve the accuracy of positioning;

[0011] An antenna module: used to enhance the signal receiving and transmitting capabilities, and improve the overall strength and quality of the signal;

[0012] A sensor module: used to measure the motion state and attitude information of the device;

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

[0014] Signal compensation module: used to enhance the accuracy and reliability of signal compensation;

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

[0016] Wireless transmission module: used 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 operating in compensation, 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, and signal arrival angle, and simultaneously collects environment-related data, including temperature, humidity, air pressure, building distribution, terrain and landform, etc.;

[0019] S2. The data preprocessing module identifies and removes outliers in the collected data, and fills in the missing data by interpolation;

[0020] S3. The data preprocessing module further performs standardization processing on the data processed in step S2 to make the data have 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 by the model construction module, and the divided data set is input into the deep learning model;

[0022] S5. According to the loss function, the input data set is used to train the deep learning model to obtain an AI compensation model;

[0023] S6. The signal data and environment data collected in real time by the data acquisition module are input into the constructed AI compensation model. The AI compensation model calculates and analyzes according to the input model, predicts the possible interference and attenuation conditions of the signal during propagation, and gives corresponding compensation values.

[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, comprehensively utilize various positioning information, and improve the positioning accuracy;

[0026] The signal processing and analysis unit module is used to process and analyze the received 5G signals, extract the characteristic parameters of the signals, and provide data support for positioning calculations;

[0027] The optimization and correction unit module is used to optimize and correct the positioning results by using machine learning and big data technologies, and continuously adjust the parameters of the positioning algorithm according to the actual environment and signal characteristics to adapt to different scenarios and improve the positioning accuracy.

[0028] Further, the antenna module includes a high-gain antenna and an intelligent antenna;

[0029] The high-gain antenna is used to enhance the receiving and transmitting capabilities of 5G signals, improve the signal strength and quality; the intelligent antenna has functions such as 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 better focus on the target device, reduce signal interference, and improve the positioning accuracy;

[0030] The high-gain antenna and the intelligent antenna are combined in an antenna array manner to achieve multi-angle reception and processing of signals, and use the spatial characteristics of the signals for positioning, improving the positioning resolution and accuracy.

[0031] Preferably, the sensor module includes an inertial measurement unit module and a barometric pressure sensor module;

[0032] The inertial measurement unit module includes an accelerometer, a gyroscope, and a magnetic compass; 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 temporarily drops, inertial navigation is used to assist positioning to improve the continuity and stability of positioning;

[0033] The barometric pressure sensor module is used to measure the ambient barometric pressure, calculate the height information of the device through the barometric pressure change, and assist the 5G positioning system to achieve 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 to perform real-time processing and analysis on the data from the 5G communication module, the positioning algorithm module, and the sensor module, coordinate the work between various modules, and at the same time, be responsible for executing the calculation tasks of the positioning algorithm to quickly and accurately obtain the positioning results;

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

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

[0038] Further, when dividing the data into data sets in step S4, the specific division content includes: a training set, a validation set, and a test set.

[0039] Furthermore, the quantity ratio 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 invention are as follows:

[0042] (1) Through the collaborative work of each module, the communication module based on the 5G network in the present invention can achieve high-precision and high-reliability positioning functions in complex environments with the high-precision positioning system. At the same time, the signal compensation module analyzes and compensates the 5G signal, which can effectively filter out interference signals and improve the reliability of signal transmission through the training of the supplementary module. Description of the drawings

[0043] In order to more clearly illustrate the technical solutions in the embodiments or exemplifications of the present application, the following will briefly introduce the drawings required for use in the embodiments or exemplifications. Obviously, the drawings in the following description are only some embodiments of the present application, and thus should not be regarded as limiting the scope. For those of ordinary skill in the art, other drawings can be obtained according to the drawings shown without creative efforts.

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

[0045] Figure 2 It is a working flowchart of the signal compensation module in the system of the present invention. Detailed implementation manners

[0046] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. Usually, the components of the embodiments of the present application described and shown in the drawings here 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 present application to be protected, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection 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] Select a high-performance communication chip that supports the 5G network standard and integrate it into the system; this module establishes a communication connection with a 5G base station to receive and send positioning-related data information; at the same time, utilize the low latency and high bandwidth characteristics of the 5G network 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 and receive instructions from the center at the same time.

[0053] Positioning algorithm module:

[0054] Fusion positioning algorithm unit module: Integrate 5G positioning technology with satellite positioning, Wi-Fi positioning, Bluetooth positioning and other technologies; in different application scenarios, dynamically select appropriate positioning technologies or comprehensively utilize multiple technologies according to the signal quality and availability.

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

[0056] Signal processing and analysis unit module: Adopt advanced signal processing algorithms to perform filtering, noise reduction, feature extraction and other processing on the received 5G signals.

[0057] In specific implementation, such as analyzing the spectral characteristics of the signal through fast Fourier transform, extracting feature parameters such as signal strength, arrival time, arrival angle, etc., to provide accurate data support for subsequent positioning calculations.

[0058] Optimization and correction unit module: Use machine learning and big data technologies to analyze and mine historical positioning data. Establish a positioning error model and 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 areas with dense high-rise buildings in the city, by analyzing a large amount of signal data, discover the positioning error law in specific areas, correct the real-time positioning results, and improve the positioning accuracy.

[0060] Antenna module:

[0061] High-gain antenna: Select a 5G antenna with high-gain characteristics and install it in a suitable position of the system; the high-gain antenna can enhance the receiving and transmitting capabilities of 5G signals, improving the signal strength and quality.

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

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

[0064] In specific implementations, 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 the positioning accuracy.

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

[0066] In specific implementations, such as by analyzing the phase and amplitude of the signals received by multiple antennas, accurately calculate the arrival angle of the signals, improving the resolution and accuracy of positioning.

[0067] Sensor module:

[0068] Inertial measurement unit module: Select an IMU sensor that includes an accelerometer, a gyroscope, and a magnetometer. The accelerometer is used to measure the acceleration of the device, the gyroscope is used to measure the angular velocity of the device, and the magnetometer is used to measure the magnetic field direction of the device; based on 5G positioning, combine the IMU data to track and predict the position of the device.

[0069] In specific implementations, such as when the device enters a signal-blocked area, perform inertial navigation through the IMU data to predict the movement 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 the ambient barometric pressure; calculate the height information of the device according to the relationship between barometric pressure change and height; 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 implementations, during the flight of a drone, the barometric pressure sensor can provide real-time height information of the drone and cooperate with 5G positioning to achieve precise flight control.

[0072] Data processing and storage module:

[0073] Data Processor: A high-performance multi-core processor is adopted, such as a processor with an ARM architecture. The data processor is responsible for real-time processing and analysis of data from the 5G communication module, the positioning algorithm module, and the sensor module. It coordinates the work among various modules to ensure smooth data transmission and processing. At the same time, it executes the calculation tasks of the positioning algorithm to quickly and accurately obtain the positioning result.

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

[0075] Memory: A large-capacity flash memory is selected. The memory is used to store various types of 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, by analyzing the historical positioning data, the positioning error pattern in different scenarios can be discovered to further optimize the positioning algorithm.

[0076] Signal Compensation Module:

[0077] Data Acquisition Module: It collects signal feature data such as signal strength, time of arrival of the signal, and angle of arrival of the signal from the 5G communication module. At the same time, it collects environment-related data such as temperature, humidity, air pressure, building distribution, and terrain through environmental sensors. For example, signal data under different environmental parameters are collected in different seasons and weather conditions to provide rich data samples for the subsequent compensation model.

[0078] Data Preprocessing Module: First, it identifies and removes the outliers in the collected data. Using the method based on the standard deviation, the data points that deviate from the mean by a certain multiple of the standard deviation are regarded as outliers and removed. Then, the missing data is interpolated and filled, such as using the linear interpolation method. Finally, the processed data is standardized using the Z-score standardization method to make the data have the same scale and distribution, improving the training effect of the subsequent model.

[0079] Model Construction Module: According to the characteristics and requirements of signal compensation, a deep learning model is selected, such as the variable-length long short-term memory network of the recurrent neural network. The preprocessed data is divided into a training set, a validation set, and a test set according to the ratio of 8:1:1. The divided data sets are input into the LSTM model, and the model is trained using the mean squared error loss function and the stochastic gradient descent optimization algorithm to obtain the AI compensation model.

[0080] Compensation Implementation Module: Input the signal data and environmental data collected in real time by the data acquisition module into the constructed AI compensation model. The AI compensation model calculates and analyzes the input data, predicts the possible interference and attenuation of the signal during transmission, and gives the corresponding compensation value; Apply the compensation value to the signal received by the 5G communication module, and realize signal compensation by adjusting parameters such as the gain and phase of the communication module, so as to improve the quality and reliability of the signal.

[0081] Power Management Module:

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

[0083] In specific implementation, when the system is in the standby state, reduce the power output to reduce energy consumption; when the system performs a large amount of data processing and positioning calculations, ensure sufficient power support. At the same time, the power management module also has overvoltage, overcurrent, and overheat protection functions to improve the safety and stability of the system.

[0084] Wireless Transmission Module:

[0085] Select a module that supports 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 a smart home application, the positioning system can send the location information of the device to the mobile APP through the wireless transmission module to achieve remote monitoring and control. At the same time, the wireless transmission module can also perform data interaction with other Internet of Things devices to achieve a wider range of application scenarios.

[0086] Refer to Figure 1 、 Figure 2 As shown in [references], when the system is actually running, the 5G communication module establishes a communication connection with the 5G base station and starts to receive and send positioning-related data information; the antenna module enhances the signal reception and transmission capabilities to ensure the signal strength and quality; the sensor module measures the motion state, attitude information, and environmental air 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 performs positioning processing and analysis on the signal, and comprehensively uses a variety of positioning technologies and algorithms to improve the positioning accuracy.

[0088] The signal compensation module continuously collects signal feature data and environmental data, and performs real-time compensation on the signal through the AI compensation model to enhance the reliability of signal propagation; the power management module provides a stable power supply for each module and conducts power optimization management; the wireless transmission module sends the positioning results and relevant data to other devices or systems to achieve data sharing and application.

[0089] Through the collaborative work of the above modules, the high-precision positioning system for the communication module based on the 5G network can achieve high-precision and high-reliability positioning functions in complex environments. At the same time, by using the signal compensation module to analyze and compensate the 5G signal, it can effectively filter out interference signals, and through the training of the supplementary module, improve the reliability of signal transmission.

[0090] Embodiment 2

[0091] Refer to Figure 1 - Figure 2 A high-precision positioning system for a communication module based on the 5G network is basically the same as Embodiment 1. Furthermore, the signal compensation module further includes an evaluation and analysis module. The evaluation and analysis module 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 and comparison: Measure the signal strength at the receiving end with and without signal compensation respectively; use a signal strength meter to record the signal strength values before and after compensation under the same location and environmental conditions.

[0094] Calculate the improvement ratio: Evaluate the compensation effect by calculating the improvement ratio of the signal strength. The formula is: Signal strength improvement ratio = (Signal strength after compensation - Signal strength before compensation) / Signal strength before compensation × 100%.

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

[0096] Signal quality evaluation and analysis:

[0097] Bit error rate: The bit error rate is the ratio of the number of error code elements to the total number of code elements during signal transmission; conduct a large number of data transmission tests before and after compensation, count the number of bit errors, and calculate the bit error rate; the lower the bit error rate, the higher the signal quality and the better the signal compensation effect.

[0098] Signal-to-noise ratio: The signal-to-noise ratio is the ratio of the signal power to the noise power; use equipment such as a spectrum analyzer to measure the signal-to-noise ratio before and after compensation; an increase in the signal-to-noise ratio means enhanced recognition of the signal in the noise environment, indicating that the signal compensation effectively suppresses noise interference and improves the signal quality.

[0099] Evaluation and analysis of positioning performance dimension:

[0100] Comparison of true positions: At test points with known precise positions, perform positioning tests with and without signal compensation respectively; by comparing the errors between the positioning results and the true positions, evaluate the improvement of positioning accuracy using indicators such as root mean square error and mean absolute error. The formula for 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] Distribution of positioning errors: Analyze the distribution of positioning errors before and after compensation; observe the degree of concentration and dispersion of the errors. If the distribution of positioning errors after compensation is more concentrated within a smaller range, it indicates that signal compensation helps to improve the stability and accuracy of positioning.

[0104] Evaluation and analysis of positioning success rate:

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

[0106] Positioning success rate = number of successful positionings / total number of tests × 100%.

[0107] The increase in the positioning success rate indicates that signal compensation can reduce positioning failures caused by signal problems and enhance the reliability of the positioning system.

[0108] Evaluation and analysis of system reliability dimension:

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

[0110] Anti-interference ability: Conduct tests in an environment with external interference sources, and compare the anti-interference abilities of the system before and after compensation; the anti-interference ability can be evaluated by observing the degree of change in signal strength and positioning accuracy under interference; 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] Evaluation and analysis of robustness:

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

[0113] Comprehensive cost-benefit dimension evaluation and analysis:

[0114] Monitor the usage of hardware resources: Monitor the consumption of computing resources by the AI-driven signal compensation system during operation, such as CPU usage rate, memory occupancy rate, etc. Excessive consumption of computing resources may lead to slow system operation and even affect the normal operation of other functions; by optimizing the AI model and algorithm, reduce the consumption of computing resources while ensuring the compensation effect.

[0115] Measure the change in energy consumption: For some mobile devices or systems powered by batteries, measure the energy consumption before and after signal compensation; if the signal compensation causes a significant increase in energy consumption, it may affect the battery life of the device. Therefore, it is necessary to balance between the compensation effect and energy consumption, and evaluate whether the increase in energy consumption is within an acceptable range.

[0116] In summary, through the collaborative work of each module, the high-precision positioning system based on the 5G network communication module of this system can achieve high-precision and high-reliability positioning functions in complex environments. At the same time, the signal compensation module is used to analyze and compensate the 5G signal, which can effectively filter out interference signals, and through the training of the supplementary module, improve the reliability of signal transmission.

[0117] The above-described embodiments only represent the preferred embodiments of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the patent of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications, improvements and substitutions can be made, and these all belong to the protection scope of the present invention.

Claims

1. A high-precision positioning system for a communication module based on a 5G network, characterized in that, Including: 5G communication module: Responsible for communicating with 5G base stations, receiving and transmitting positioning-related data information, and enabling interconnection and interoperability between devices; Positioning algorithm module: Used to perform positioning processing and analysis on signals to improve positioning accuracy; Antenna module: Used to enhance the signal receiving and transmitting capabilities, improving the overall strength and quality of the signal; Sensor module: Used to measure the motion state and attitude information of the device; Data processing and storage module: Used to perform real-time processing and analysis on the data transmitted by each module, and store various processed signal information; Signal compensation module: Used to enhance the accuracy and reliability of signal compensation; Power management module: Provides a stable power supply for each module in the positioning system, and manages and optimizes the power supply; Wireless transmission module: Used to establish wireless connections and communications with other devices or systems.

2. The high-precision positioning system for a communication module based on a 5G network according to claim 1, characterized in that: 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 operating in compensation, the specific method is as follows: S1. The data acquisition module collects various signal feature data from the 5G communication module, including signal strength, time of arrival of the signal, and angle of arrival of the signal. At the same time, it collects environment-related data, including information such as temperature, humidity, air pressure, building distribution, and terrain; 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 performs normalization processing on the data processed in step S2 to make the data have the same scale and distribution; S4. According to the characteristics and requirements of signal compensation, select a deep learning model, and use the model construction module to divide the preprocessed data into data sets, and input the divided data sets into the deep learning model; S5. According to the loss function, use the input data set to train the deep learning model to obtain an AI compensation model; S6. Input the signal data and environment data collected in real time by the data acquisition module into the constructed AI compensation model. The AI compensation model calculates and analyzes according to the input model, predicts the possible interference and attenuation of the signal during propagation, and gives corresponding compensation values.

3. A high-precision positioning system for a communication module based on a 5G network according to claim 1, characterized in that: 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; The fusion positioning algorithm unit module is used to fuse 5G positioning technology with other positioning technologies, comprehensively utilize various positioning information, and improve positioning accuracy; The signal processing and analysis unit module is used to process and analyze the received 5G signals, extract the characteristic parameters of the signals, and provide data support for positioning calculations; The optimization and correction unit module is used to optimize and correct the positioning results using machine learning and big data technologies, and continuously adjust the parameters of the positioning algorithm according to the actual environment and signal characteristics to adapt to different scenarios and improve positioning accuracy.

4. A high-precision positioning system for a communication module based on a 5G network according to claim 1, characterized in that: The antenna module includes a high-gain antenna and an intelligent antenna; The high-gain antenna is used to enhance the receiving and transmitting capabilities of 5G signals, improving the signal strength and quality; the smart antenna has functions such as beamforming, and can automatically adjust the beam direction of the antenna according to the propagation direction and intensity of the signal, enabling the signal to better focus on the target device, reducing signal interference, and improving positioning accuracy; The high-gain antenna and the smart antenna are combined in an antenna array manner to achieve multi-angle reception and processing of signals, and use the spatial characteristics of the signals for positioning, improving the resolution and accuracy of positioning.

5. A high-precision positioning system for a communication module based on a 5G network according to claim 1, characterized in that: The sensor module includes an inertial measurement unit module and a barometric 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; based on 5G positioning, combined with IMU data to track and predict the position of the device, and when the signal is blocked or the positioning accuracy temporarily drops, assist in positioning through inertial navigation to improve the continuity and stability of positioning; The barometric pressure sensor module is used to measure the ambient barometric pressure, calculate the height information of the device through the barometric pressure change, and assist the 5G positioning system to achieve high-precision positioning in three-dimensional space.

6. A high-precision positioning system for a communication module based on a 5G network 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 perform real-time processing and analysis on the data from the 5G communication module, the positioning algorithm module, and the sensor module, coordinate the work between various modules, and at the same time, is responsible for executing the calculation tasks of the positioning algorithm to quickly and accurately obtain the positioning result; The memory is used to store the data of the positioning system.

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

8. The high-precision positioning system for a communication module based on a 5G network according to claim 2, characterized in that: In step S4, when dividing the data into data sets, the specific division content includes: training set, validation set, and test set.

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

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