5G communication module capable of accurately positioning and control method thereof

Abstract

The invention relates to the technical field of 5G communication modules, in particular to a 5G communication module capable of accurately positioning and a control method thereof, and the method comprises the steps: data acquisition: sampling from more than three 5G base stations or satellites at the frequency per second of 10-20 Hz, and comparing the time delay characteristics of different paths through employing a multipath signal separation algorithm according to the sampled data, a direct signal with the minimum time delay is reserved, signals of other paths are discarded, the time delay threshold value of multi-path separation is 10-20 ns, and signals with the delay larger than the threshold value are eliminated; according to the invention, the 5G antenna array module intelligently adjusts the antenna direction according to the receiving angle and the signal phase difference through the minimum mean square beam forming algorithm, and dynamically adjusts the beam width in combination with the environment density, thereby achieving the precise focusing and enhancement of signals, enabling the module to adaptively adjust the signal coverage in different complex environments, and achieving the adaptive adjustment of the signal coverage. The positioning stability is enhanced, the high-quality positioning effect is achieved, and the method is particularly suitable for a multi-path scene with many interferences.

Description

Technical Field

[0001] The present invention relates to the technical field of 5G communication modules, and specifically to a 5G communication module capable of precise positioning and a control method thereof. Background Art

[0002] A 5G communication module that can accurately locate refers to a 5G communication module that integrates high-precision positioning technology. It can provide accurate location information and support various application scenarios that require positioning services. This module uses the characteristics of 5G networks, such as high bandwidth, multiple antennas, and large-scale MIMO technology, to achieve positioning by measuring the time difference and angle parameters of the signal.

[0003] With the rapid development of 5G communication technology, the demand for precise positioning has become increasingly important in many fields, especially in complex urban environments or scenarios with dense signal interference;

[0004] However, the current 5G communication modules have great limitations when facing multipath interference, environmental noise, and positioning accuracy requirements. For example, in areas with severe multipath effects, signal reflection will lead to increased positioning errors, and high-density buildings and complex terrain further weaken the positioning performance of traditional modules. In addition, due to hardware and algorithm limitations, existing modules also have deficiencies in positioning signal filtering, signal coverage, and beam control. It is difficult to automatically adjust the positioning accuracy according to environmental changes, resulting in delayed response and inaccurate positioning in rapidly changing scenarios. Therefore, a 5G communication module with precise positioning and a control method thereof are proposed to address the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a 5G communication module that can accurately locate and a control method thereof, so as to solve the problems that the existing modules also have deficiencies in positioning signal filtering, signal coverage, and beam control, and are difficult to automatically adjust the positioning accuracy according to environmental changes, resulting in delayed response and inaccurate positioning in rapidly changing scenarios.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A 5G communication module capable of accurate positioning and a control method thereof, comprising: data acquisition: sampling from more than three 5G base stations or satellites at a frequency of 10-20 Hz per second, using a multi-path signal separation algorithm to compare the delay characteristics of different paths, retaining the direct signal with the smallest delay, and discarding other path signals, wherein the delay threshold of multi-path separation is 10-20ns, and signals with delays greater than this threshold are excluded;

[0008] Signal filtering correction: Use the Kalman filter algorithm to perform noise processing and signal optimization on the retained direct signal, adjust the covariance of process noise and measurement noise, filter out interference, and generate high-precision positioning data;

[0009] Angle optimization and beam concentration: The positioning data after signal correction is input into the 5G antenna array module. In combination with environmental dynamic factors, the antenna direction is adjusted according to the receiving angle and phase difference through the minimum mean square beamforming algorithm, and the beam width is dynamically adjusted according to the environmental density to ensure the coverage stability of the target signal.

[0010] Wherein, the beamforming algorithm is:

[0011] w n+1 =w n +2·μ·e n

[0012] In the formula, w n is the beam direction weight, μ is the step size parameter, e n is the error signal, x n is the received signal;

[0013] Real-time accuracy monitoring and adjustment: The communication control module automatically adjusts the Kalman filter parameters by analyzing the deviation of positioning data in real time to adapt to the slight dynamic changes of the environment. It uses the intelligent data cache unit to store positioning data in a short period of time, compares and analyzes the data changes at different time points, and adjusts the filter parameters in time to cope with the instantaneous changes of the signal.

[0014] Positioning completion and data output: When the positioning accuracy meets the predetermined standards, the communication control module outputs the positioning data to the user terminal. If signal fluctuations caused by environmental changes are detected, it automatically switches to an adaptive positioning mode or re-optimizes the beam to maintain positioning accuracy.

[0015] As further optimized content of the present invention, among them: in the process of real-time accuracy monitoring and adjustment, the positioning data within the last 5 seconds is cached in real time, sampled 20 times per second, a total of 100 positioning data points, and the autoregressive moving average model is used to analyze data fluctuations to detect the accuracy change trend of the positioning data. When the autoregressive moving average model predicts that the positioning deviation exceeds 1 meter, the noise covariance of the Kalman filter is automatically increased to ensure that the positioning accuracy is restored to within 1 meter, so as to ensure that the accuracy fluctuation is controlled within ±0.5 meters, and ensure the accuracy stability of the positioning data when the environment changes in a small range;

[0016] The model formula is:

[0017]

[0018] The model parameters are: set the model order p and q to 1-3, the error term εt The covariance of is 0.05;

[0019] In the formula, X t is the predicted value or time series value at the current time t, c is a constant term, φ i Represents the value X at the past i moments t-i For the current value X t The degree of influence, X t-i represents the value of the past i moments, θ j represents the random error ε in the past j moments t-j For the current value X t The degree of influence, ε t-j is the random error term at the past j moments, ε t is the random error term at the current time t, and P indicates how many times in the past the value X is used t-i To predict the current value X t , q represents the number of past moments of random error term ε used t-j To predict the current value X t .

[0020] As further optimized content of the present invention, it includes: a positioning data processing module, which is used to collect data from multiple signal sources and process the positioning data based on multi-path analysis and data filtering algorithm to obtain high-precision positioning coordinates;

[0021] Signal correction module, used to eliminate the influence of environmental noise and multipath effect on positioning accuracy, and dynamically optimize the signal based on Kalman filter algorithm;

[0022] The positioning control module is used to receive the output data of the positioning data processing module and the signal correction module, and adjust the positioning strategy of the communication module in combination with environmental dynamic factors;

[0023] 5G antenna array module, used to receive multi-source signals and enhance the signal coverage of the communication module;

[0024] The communication control module is used to receive and process positioning data, control the signal transmission and reception mode of the 5G antenna array module, and realize dynamic data processing and positioning update.

[0025] As a further optimized content of the present invention, wherein: the positioning data processing module includes a multi-path data analysis unit and a particle filter processing unit, which are used to perform path analysis and particle filter processing on the received signal.

[0026] As a further optimization content of the present invention, the positioning control module can adjust the receiving angle and signal strength of the 5G antenna array module according to the received positioning accuracy, so as to improve the signal coverage in complex environments.

[0027] As a further optimized content of the present invention, the communication control module includes a dynamic data management unit, which is used to receive positioning data and perform real-time analysis and processing on the data to adjust the parameters of the positioning algorithm to achieve efficient data management.

[0028] As a further optimization content of the present invention, the 5G antenna array module is provided with multiple phased array antenna units for receiving multi-angle signals and improving the stability of the positioning signal through adaptive beamforming technology.

[0029] As a further optimized content of the present invention, wherein: the communication control module includes an intelligent data cache unit, which can store and analyze historical positioning data and predict the current positioning deviation through time series analysis.

[0030] As a further optimized content of the present invention, the signal correction module also includes a noise filtering unit, which processes the noise signal based on a weighted average filtering algorithm.

[0031] As a further optimization of the present invention, the communication control module adjusts the power consumption and data transmission mode of the module by analyzing real-time data to achieve a balance between positioning accuracy and energy consumption.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] 1. In the present invention, the 5G antenna array module uses the minimum mean square beamforming algorithm to intelligently adjust the antenna direction according to the receiving angle and signal phase difference, and dynamically adjusts the beam width in combination with the environmental density, thereby achieving precise focusing and enhancement of the signal. In different complex environments, the module can adaptively adjust the signal coverage, enhance the stability of positioning, and achieve high-quality positioning effects, which is particularly suitable for scenes with more multipath interference;

[0034] 2. In the present invention, the direct signal is effectively screened out through the multipath signal separation algorithm, and the reflected signal whose delay exceeds the threshold is excluded, thereby significantly reducing the interference of the multipath effect, so that the clarity and accuracy of the positioning signal are greatly improved. At the same time, the Kalman filter algorithm is used to process and optimize the direct signal, dynamically adapt to different noise environments, make the signal more robust, and ensure that the positioning data can remain stable and accurate under complex noise conditions;

[0035] 3. In the present invention, through intelligent real-time precision monitoring and adaptive adjustment functions, the communication control module can effectively track the fluctuation of positioning data, and predict and adjust the positioning accuracy according to the autoregressive moving average model. The system can not only quickly adapt to environmental changes, but also automatically adjust power consumption on the premise that the accuracy meets the requirements, thereby achieving energy-saving effects. Combined with the analysis and trend prediction of historical positioning data by the intelligent data cache unit, the system realizes efficient positioning adjustment and energy consumption management, providing a guarantee for high-precision positioning and long-term stable operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a flow chart of a 5G communication module capable of precise positioning and a control method thereof of the present invention. DETAILED DESCRIPTION

[0037] See also Figure 1 , the present invention provides a technical solution:

[0038] A 5G communication module capable of accurate positioning and a control method thereof, comprising: data acquisition: sampling from more than three 5G base stations or satellites at a frequency of 10-20 Hz per second, using a multi-path signal separation algorithm to compare the delay characteristics of different paths, retaining the direct signal with the smallest delay, and discarding other path signals, wherein the delay threshold of multi-path separation is 10-20ns, and signals with delays greater than this threshold are excluded;

[0039] Signal filtering correction: Use the Kalman filter algorithm to perform noise processing and signal optimization on the retained direct signal, adjust the covariance of process noise and measurement noise, filter out interference, and generate high-precision positioning data;

[0040] Angle optimization and beam concentration: The positioning data after signal correction is input into the 5G antenna array module. In combination with environmental dynamic factors, the antenna direction is adjusted according to the receiving angle and phase difference through the minimum mean square beamforming algorithm, and the beam width is dynamically adjusted according to the environmental density to ensure the coverage stability of the target signal.

[0041] Wherein, the beamforming algorithm is:

[0042] w n+1 =w n +2·μ·e n ·x n

[0043] In the formula, w n is the beam direction weight, μ is the step size parameter, e n is the error signal, x n is the received signal;

[0044] Real-time accuracy monitoring and adjustment: The communication control module automatically adjusts the Kalman filter parameters by analyzing the deviation of positioning data in real time to adapt to the slight dynamic changes of the environment. It uses the intelligent data cache unit to store positioning data in a short period of time, compares and analyzes the data changes at different time points, and adjusts the filter parameters in time to cope with the instantaneous changes of the signal.

[0045] Positioning completion and data output: When the positioning accuracy meets the predetermined standards, the communication control module outputs the positioning data to the user terminal. If signal fluctuations caused by environmental changes are detected, it automatically switches to an adaptive positioning mode or re-optimizes the beam to maintain positioning accuracy.

[0046] As a technical solution for further implementation of this solution, in the process of real-time accuracy monitoring and adjustment, the positioning data within the last 5 seconds is cached in real time, sampled 20 times per second, with a total of 100 positioning data points, and the autoregressive moving average model is used to analyze data fluctuations to detect the accuracy change trend of the positioning data. When the autoregressive moving average model predicts that the positioning deviation exceeds 1 meter, the noise covariance of the Kalman filter is automatically increased to ensure that the positioning accuracy is restored to within 1 meter, so as to ensure that the accuracy fluctuation is controlled within ±0.5 meters, and ensure the accuracy stability of the positioning data when the environment changes in a small range;

[0047] The model formula is:

[0048]

[0049] The model parameters are: set the model order p and q to 1-3, the error term ε t The covariance of is 0.05;

[0050] In the formula, X t is the predicted value or time series value at the current time t, c is a constant term, φ i Represents the value X at the past i moments t-i For the current value X t The degree of influence, X t-i represents the value of the past i moments, θ j represents the random error ε in the past j moments t-j For the current value X t The degree of influence, ε t-j is the random error term at the past j moments, ε t is the random error term at the current time t, and P indicates how many times in the past the value X is used t-i To predict the current value X t , q represents the number of past moments of random error term ε used t-j To predict the current value X t, can accurately predict the trend of positioning deviation, realize intelligent dynamic adjustment, and improve the system's adaptability and data stability;

[0051] As a technical solution for further implementation of this solution, it includes: a positioning data processing module, which is used to collect data from multiple signal sources, and process the positioning data based on multi-path analysis and data filtering algorithms to obtain high-precision positioning coordinates. Through efficient data collection and processing mechanisms, the response speed and accuracy of positioning are improved, and the validity of positioning data is ensured;

[0052] Signal correction module, used to eliminate the influence of environmental noise and multipath effect on positioning accuracy, dynamically optimizes the signal based on Kalman filter algorithm. The use of signal correction module significantly reduces positioning error, optimizes the quality and consistency of positioning data, and makes positioning results more reliable;

[0053] The positioning control module is used to receive the output data of the positioning data processing module and the signal correction module, and adjust the positioning strategy of the communication module in combination with the dynamic factors of the environment. The positioning control module can adjust the positioning strategy in real time according to the environment to ensure the positioning effect in complex scenes and improve the adaptability and accuracy of the system;

[0054] 5G antenna array module, used to receive multi-source signals and enhance the signal coverage of the communication module. The 5G antenna array module improves the coverage and strength of signal reception and enhances the positioning performance of the communication module in different scenarios;

[0055] The communication control module is used to receive and process positioning data, control the signal receiving and sending mode of the 5G antenna array module, and realize dynamic data processing and positioning update. This module realizes the automation of data processing and real-time update of positioning information, improving the operating efficiency and adaptability of the system;

[0056] As a technical solution for further implementation of this solution, the positioning data processing module includes a multipath data analysis unit and a particle filter processing unit, which is used to perform path analysis and particle filter processing on the received signal. This structure enhances the accuracy of signal processing, effectively eliminates multipath interference, and improves the robustness and accuracy of the positioning system;

[0057] As a technical solution for further implementation of this solution, the positioning control module can adjust the receiving angle and signal strength of the 5G antenna array module according to the received positioning accuracy, improve the signal coverage in complex environments, adjust the antenna receiving parameters according to the real-time positioning accuracy, optimize the signal coverage effect, make the positioning more stable and reliable, and be suitable for diverse environmental conditions;

[0058] As a technical solution for further implementation of this solution, the communication control module includes a dynamic data management unit, which is used to receive positioning data and analyze and process the data in real time to adjust the parameters of the positioning algorithm and achieve efficient data management. The dynamic data management unit effectively improves the intelligent level of data processing, and can optimize the positioning algorithm in real time according to actual needs to ensure the continuous stability of positioning accuracy;

[0059] As a technical solution for further implementation of this solution, the 5G antenna array module is provided with multiple phased array antenna units for receiving multi-angle signals and improving the stability of positioning signals through adaptive beamforming technology. The configuration of multiple phased array antenna units enhances the system's ability to capture signals in different directions and improves the stability of the positioning system in complex environments.

[0060] As a technical solution for further implementation of this solution, the communication control module includes an intelligent data cache unit, which can store and analyze historical positioning data and predict the current positioning deviation through time series analysis. Intelligent data cache and time series analysis improve the dynamic management level of positioning accuracy, and can adjust the positioning strategy in time to cope with real-time changes, thereby ensuring the reliability of positioning accuracy.

[0061] As a technical solution for further implementation of this solution, the signal correction module also includes a noise filtering unit, which processes the noise signal based on a weighted average filtering algorithm. The noise filtering unit further reduces the noise interference of the signal, thereby improving the accuracy of the positioning data and the anti-interference ability of the system;

[0062] As a technical solution for further implementation of this scheme, the communication control module adjusts the power consumption and data transmission mode of the module by analyzing real-time data to achieve a balance between positioning accuracy and energy consumption. Under the premise of ensuring positioning accuracy, intelligent power consumption control achieves the energy-saving effect of the system, extends the working time of the module, and improves the overall performance and durability of the system.

[0063] This article uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the method and core ideas of the present invention. The above is only a preferred implementation of the present invention. It should be pointed out that due to the limitations of textual expression and the objective existence of infinite specific structures, ordinary technicians in this technical field can make several improvements, modifications or changes without departing from the principles of the present invention, and can also combine the above technical features in an appropriate manner; these improvements, modifications, changes or combinations, or the direct application of the inventive concept and technical solution to other occasions without improvement, should be regarded as the protection scope of the present invention.

Claims

1. A control method for a 5G communication module capable of accurate positioning, characterized in that: include: Data acquisition: Sampling is performed from more than three 5G base stations or satellites at a frequency of 10-20 Hz per second. The sampled data uses a multipath signal separation algorithm to compare the delay characteristics of different paths, retain the direct signal with the smallest delay, and discard the signals of other paths. The delay threshold of multipath separation is 10-20ns, and signals with delays greater than this threshold are excluded; Signal filtering correction: Use the Kalman filter algorithm to perform noise processing and signal optimization on the retained direct signal, adjust the covariance of process noise and measurement noise, filter out interference, and generate high-precision positioning data; Angle optimization and beam concentration: The positioning data after signal correction is input into the 5G antenna array module. In combination with environmental dynamic factors, the antenna direction is adjusted according to the receiving angle and phase difference through the minimum mean square beamforming algorithm, and the beam width is dynamically adjusted according to the environmental density to ensure the coverage stability of the target signal. Wherein, the beamforming algorithm is: w n+1 =w n +2 m e n ·x n In the formula, w n is the beam direction weight, μ is the step size parameter, e n is the error signal, x n is the received signal; Real-time accuracy monitoring and adjustment: The communication control module automatically adjusts the Kalman filter parameters by analyzing the deviation of positioning data in real time to adapt to the slight dynamic changes of the environment. It uses the intelligent data cache unit to store positioning data in a short period of time, compares and analyzes the data changes at different time points, and adjusts the filter parameters in time to cope with the instantaneous changes of the signal. Positioning completion and data output: When the positioning accuracy meets the predetermined standards, the communication control module outputs the positioning data to the user terminal. If signal fluctuations caused by environmental changes are detected, it automatically switches to an adaptive positioning mode or re-optimizes the beam to maintain positioning accuracy.

2. The control method of a 5G communication module capable of accurate positioning according to claim 1, characterized in that: During the real-time accuracy monitoring and adjustment process, the positioning data within the last 5 seconds is cached in real time, sampled 20 times per second, with a total of 100 positioning data points, and the autoregressive moving average model is used to analyze data fluctuations to detect the accuracy change trend of the positioning data. When the autoregressive moving average model predicts that the positioning deviation exceeds 1 meter, the noise covariance of the Kalman filter is automatically increased to ensure that the positioning accuracy is restored to within 1 meter, so as to ensure that the accuracy fluctuation is controlled within ±0.5 meters, and ensure the accuracy stability of the positioning data when the environment changes in a small range; The model formula is: The model parameters are: set the model order p and q to 1-3, the error term ε t The covariance of is 0.05; Where, X t is the predicted value or time series value at the current time t, c is a constant term, φ i Represents the value X at the past i moments t-i For the current value X t The degree of influence, X t-i represents the value of the past i moments, θ j represents the random error ε in the past j moments t-j For the current value X t The degree of influence, ε t-j is the random error term at the past j moments, ε t is the random error term at the current time t, and P represents the value X at how many past time points are used t-i To predict the current value X t , q represents the number of past moments of random error term ε used t-j To predict the current value X t .

3. A 5G communication module capable of accurate positioning according to any one of claims 1-2, characterized in that: include: The positioning data processing module is used to collect data from multiple signal sources and process the positioning data based on multi-path analysis and data filtering algorithms to obtain high-precision positioning coordinates; Signal correction module, used to eliminate the influence of environmental noise and multipath effect on positioning accuracy, and dynamically optimize the signal based on Kalman filter algorithm; The positioning control module is used to receive the output data of the positioning data processing module and the signal correction module, and adjust the positioning strategy of the communication module in combination with environmental dynamic factors; 5G antenna array module, used to receive multi-source signals and enhance the signal coverage of the communication module; The communication control module is used to receive and process positioning data, control the signal transmission and reception mode of the 5G antenna array module, and realize dynamic data processing and positioning update.

4. A 5G communication module capable of accurate positioning according to claim 3, characterized in that: The positioning data processing module includes a multi-path data analysis unit and a particle filter processing unit, which are used to perform path analysis and particle filter processing on the received signal.

5. The 5G communication module capable of accurate positioning according to claim 3, characterized in that: The positioning control module can adjust the receiving angle and signal strength of the 5G antenna array module according to the received positioning accuracy, thereby improving signal coverage in complex environments.

6. A 5G communication module capable of accurate positioning according to claim 3, characterized in that: The communication control module includes a dynamic data management unit, which is used to receive positioning data and perform real-time analysis and processing on the data to adjust the parameters of the positioning algorithm and achieve efficient data management.

7. The 5G communication module capable of accurate positioning according to claim 3, characterized in that: The 5G antenna array module is equipped with multiple phased array antenna units for receiving multi-angle signals and improving the stability of positioning signals through adaptive beamforming technology.

8. The 5G communication module capable of accurate positioning according to claim 3, characterized in that: The communication control module includes an intelligent data cache unit that can store and analyze historical positioning data and predict current positioning deviation through time series analysis.

9. The 5G communication module capable of accurate positioning according to claim 3, characterized in that: The signal correction module also includes a noise filtering unit, which processes the noise signal based on a weighted average filtering algorithm.

10. The 5G communication module capable of accurate positioning according to claim 3, characterized in that: The communication control module adjusts the power consumption and data transmission mode of the module by analyzing real-time data to achieve a balance between positioning accuracy and energy consumption.

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