Time synchronization method and related equipment based on Beidou satellite signal

Abstract

The present application discloses a time synchronization method based on Beidou satellite signals and related equipment, which relates to the field of communication technology, and discloses a time synchronization method based on Beidou satellite signals, including: obtaining Beidou satellite signals; identifying spoof signals on the Beidou satellite signals through a preset anti-spoofing model to obtain a target recognition result, wherein the anti-spoofing model is obtained by training a preset model to be trained with satellite signal samples and recognition result labels; if the target recognition result is true, then based on the Beidou satellite signal, time synchronization is performed on a preset base station. The present application uses satellite signal samples and recognition result labels to train a preset model to be trained. When obtaining satellite signals, spoof signals are identified on the satellite signals through an anti-spoofing model, and the base station is time synchronized using a real satellite signal, ultimately achieving a significant improvement in the success rate of base station time synchronization.

Description

Technical Field

[0001] The present application relates to the field of satellite communication technology, and in particular to a time synchronization method and related equipment based on Beidou satellite signals. Background Art

[0002] With the rapid growth of mobile communication services, the speed of wireless network upgrade and evolution has gradually accelerated. When wireless networks are upgraded to the 5G stage, not only the network structure changes, but also the requirements for the time synchronization accuracy between base stations are further improved. The high-precision time synchronization of 5G base stations is of great significance to the full utilization of 5G network performance.

[0003] The current time synchronization technology is to locate 5G base stations through satellites and then transmit synchronization information to the 5G base stations. The 5G base stations perform high-precision time synchronization through synchronization protocols. However, when the satellite's transmission signals are interfered with and deceptively attacked, the errors of the satellite synchronization information received by the base station increase and its reliability decreases, which leads to a significant increase in the time synchronization failure rate.

[0004] Therefore, how to improve the success rate of 5G base station time synchronization is a problem that needs to be solved urgently.

[0005] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0006] The main purpose of this application is to provide a time synchronization method and related equipment based on Beidou satellite signals, aiming to solve the technical problem of low success rate of 5G base station time synchronization.

[0007] To achieve the above purpose, the present application proposes a time synchronization method based on Beidou satellite signals, the method comprising:

[0008] Get Beidou satellite signals;

[0009] Performing spoofing signal recognition on the Beidou satellite signal through a preset anti-spoofing model to obtain a target recognition result, wherein the anti-spoofing model is obtained by training a preset to-be-trained model with satellite signal samples and recognition result labels;

[0010] If the target recognition result is true, the preset base station is time synchronized based on the Beidou satellite signal.

[0011] In one embodiment, the step of acquiring Beidou satellite signals includes:

[0012] Obtain satellite signal samples and identification result labels;

[0013] Obtaining the signal-to-noise ratio of the satellite signal samples and the corresponding total noise power of the receiver;

[0014] Inputting the signal-to-noise ratio of the satellite signal sample and the total noise power into a preset model to be trained;

[0015] Detecting the total noise power and the signal-to-noise ratio by using the model to be trained;

[0016] Determining a recognition training result according to whether the signal-to-noise ratio decreases proportionally with an increase in the total noise power;

[0017] Determine the difference between the recognition training result and the recognition result label to obtain a recognition loss value;

[0018] If the recognition loss value does not meet the preset loss standard, return to the step of analyzing the satellite signal sample through the model to be trained to obtain the recognition training result, and stop training until the recognition loss value meets the loss standard to obtain an anti-spoofing model that meets the loss standard.

[0019] In one embodiment, the step of determining the recognition training result according to whether the signal-to-noise ratio decreases proportionally when the total noise power increases comprises:

[0020] Obtain historical satellite signal characteristics;

[0021] Performing carrier feature analysis on the satellite signal sample to obtain a first satellite signal feature;

[0022] Determine the difference between the first satellite signal feature and the historical satellite signal feature to obtain a historical feature difference value;

[0023] If the historical feature difference value does not meet the preset first difference value standard, the satellite signal sample is determined to be a spoofing signal, and the output is a recognition training result.

[0024] In one embodiment, the step of determining the recognition training result according to whether the signal-to-noise ratio decreases proportionally when the total noise power increases comprises:

[0025] Obtain historical meteorological disturbance characteristics;

[0026] Performing meteorological interference feature analysis on the satellite signal sample to obtain a second satellite signal feature;

[0027] Determine the difference between the second satellite signal characteristic and the historical meteorological interference characteristic to obtain a historical meteorological characteristic difference value;

[0028] If the historical meteorological feature difference value does not meet the preset second difference value standard, the satellite signal sample is determined to be a deception signal, and the output is the recognition training result.

[0029] In one embodiment, the step of acquiring Beidou satellite signals includes:

[0030] Analyze the Beidou satellite signal to obtain a target noise interference frequency;

[0031] According to the target noise interference frequency, configure the parameters of the preset noise reducer;

[0032] The Beidou satellite signal is input into the noise reducer to obtain a Beidou satellite signal after noise reduction.

[0033] In one embodiment, the step of performing time synchronization on a preset base station based on the Beidou satellite signal includes:

[0034] If the target identification result is false, a fraud warning message is sent to a preset receiving device;

[0035] Get the highest priority local clock synchronization signal;

[0036] The base station is time synchronized by using the local clock synchronization signal.

[0037] In addition, to achieve the above purpose, the present application also proposes a time synchronization device based on Beidou satellite signals, and the time synchronization device based on Beidou satellite signals includes:

[0038] Acquisition module, used to acquire Beidou satellite signals;

[0039] An identification module is used to identify spoofed signals on the Beidou satellite signal through a preset anti-spoofing model to obtain a target identification result, wherein the anti-spoofing model is obtained by training a preset model to be trained by using satellite signal samples and identification result labels;

[0040] A synchronization module is used to perform time synchronization on a preset base station based on the Beidou satellite signal if the target recognition result is true.

[0041] In addition, to achieve the above-mentioned purpose, the present application also proposes a time synchronization device based on Beidou satellite signals, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the time synchronization method based on Beidou satellite signals as described above.

[0042] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the time synchronization method based on Beidou satellite signals as described above are implemented.

[0043] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the time synchronization method based on Beidou satellite signals as described above.

[0044] One or more technical solutions proposed in this application have at least the following technical effects:

[0045] Compared with the related art, after locating the 5G base station by satellite, the synchronization information is transmitted to the 5G base station, and the 5G base station performs high-precision time synchronization through the synchronization protocol. However, when the satellite transmission signal is interfered with and deceptively attacked, the error of the satellite synchronization information received by the base station increases and the reliability decreases, which leads to a significant increase in the failure rate of time synchronization. In this application, the satellite signal is obtained; the deceptive signal is identified on the satellite signal through a preset anti-deception model to obtain a target recognition result, wherein the anti-deception model is obtained by training the preset model to be trained by satellite signal samples and recognition result labels; if the target recognition result is true, the preset base station is synchronized in time based on the satellite signal. It can be understood that the present application uses satellite signal samples and recognition result labels to train the preset model to be trained. When the Beidou satellite signal is obtained, the Beidou satellite signal is identified by the anti-deception model to determine the authenticity of the Beidou satellite signal, and then the real Beidou satellite signal is used to synchronize the base station, and finally the base station time synchronization success rate is significantly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0047] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0048] Figure 1 A flowchart of a method for time synchronization based on Beidou satellite signals provided in Example 1 of the present application;

[0049] Figure 2 This is a schematic diagram of the module structure of a time synchronization device based on Beidou satellite signals in an embodiment of the present application;

[0050] Figure 3 This is a schematic diagram of the device structure of the hardware operating environment involved in the time synchronization method based on Beidou satellite signals in an embodiment of the present application.

[0051] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0052] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0053] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0054] The main solution of the embodiment of the present application is: obtaining Beidou satellite signals;

[0055] Performing spoofing signal recognition on the Beidou satellite signal through a preset anti-spoofing model to obtain a target recognition result, wherein the anti-spoofing model is obtained by training a preset to-be-trained model with satellite signal samples and recognition result labels;

[0056] If the target recognition result is true, the preset base station is time synchronized based on the Beidou satellite signal.

[0057] In this embodiment, the present application uses a time synchronization device based on Beidou satellite signals as the execution subject. For the convenience of description, it is specifically described below as "device".

[0058] Because the existing technology locates 5G base stations through satellites and then transmits synchronization information to the 5G base stations, the 5G base stations perform high-precision time synchronization through synchronization protocols. However, when the satellite's transmission signals are interfered with and deceptively attacked, the errors of the satellite synchronization information received by the base station increase and the reliability decreases, which leads to a significant increase in the time synchronization failure rate.

[0059] The present application provides a solution, which uses satellite signal samples and recognition result labels to train a preset model to be trained to obtain an anti-spoofing model. When a Beidou satellite signal is obtained, the Beidou satellite signal is identified as a spoofed signal through the anti-spoofing model to determine the authenticity of the satellite signal, and then the base station is time synchronized using the real satellite signal, ultimately achieving a significant improvement in the success rate of base station time synchronization.

[0060] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a time synchronization device based on Beidou satellite signals, etc. The following takes a time synchronization device based on Beidou satellite signals as an example to illustrate this embodiment and the following embodiments.

[0061] Based on this, the embodiment of the present application provides a method for a time synchronization device based on Beidou satellite signals, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the time synchronization device method based on Beidou satellite signals of the present application.

[0062] In this embodiment, the time synchronization method based on Beidou satellite signals includes steps S10 to S30:

[0063] Step S10, obtaining Beidou satellite signals;

[0064] It should be noted that the Beidou satellite signal refers to the radio signal received from the Beidou satellite, which is used for positioning, timing and other applications.

[0065] For example, in the scenario where Beidou satellites provide high-precision time synchronization for base stations, it is first necessary to obtain Beidou satellite signals. This step involves receiving radio signals from Beidou satellites, which usually contain information such as positioning and time synchronization. Acquiring Beidou satellite signals is done through equipment such as antennas and receivers, which can capture the weak signals emitted by Beidou satellites and convert them into electrical signals for further processing.

[0066] Step S20, performing spoofing signal recognition on the Beidou satellite signal through a preset anti-spoofing model to obtain a target recognition result, wherein the anti-spoofing model is obtained by training a preset to-be-trained model with satellite signal samples and recognition result labels;

[0067] It should be noted that the anti-spoofing model is a specially designed algorithm or machine learning model, the purpose of which is to learn and identify the characteristics of spoofing signals. It is trained using a large number of satellite signal samples and corresponding recognition result labels to identify whether the satellite signal is a malicious spoofing signal. The target recognition result refers to the judgment result of the device on whether the received signal is a real signal during the spoofing signal recognition process.

[0068] Exemplarily, in order to ensure that the received signal is authentic and reliable, it is necessary to identify the spoofed signal of the Beidou satellite signal through a preset anti-spoofing model. Spoofed signal identification can distinguish between real Beidou satellite signals and possible forged or jammed signals. The anti-spoofing model is trained by machine learning or signal processing technology based on a large number of satellite signal samples and corresponding recognition result labels. This model can learn the difference between real signals and spoofed signals, and classify and identify new signals in practical applications.

[0069] Step S30: If the target recognition result is true, time synchronization is performed on a preset base station based on the Beidou satellite signal.

[0070] It is understandable that after obtaining the target recognition result, if the result is true, that is, confirming that the received Beidou satellite signal is authentic and valid, the device will synchronize the time of the preset base station based on this signal. Time synchronization refers to calibrating the clock of the base station with the time information carried in the Beidou satellite signal to ensure that the time accuracy of the base station meets the requirements.

[0071] This embodiment provides a time synchronization method, which uses satellite signal samples and recognition result labels to train a preset model to be trained to obtain an anti-spoofing model. When a satellite signal is acquired, the anti-spoofing model is used to identify the spoofing signal of the Beidou satellite signal to determine the authenticity of the Beidou satellite signal, and then the real Beidou satellite signal is used to synchronize the base station time, ultimately completing a significant improvement in the success rate of base station time synchronization.

[0072] In a feasible implementation manner, before step S10, the following may be included:

[0073] Obtain satellite signal samples and identification result labels;

[0074] Obtaining the signal-to-noise ratio of the satellite signal samples and the corresponding total noise power of the receiver;

[0075] Inputting the signal-to-noise ratio of the satellite signal sample and the total noise power into a preset model to be trained;

[0076] Detecting the total noise power and the signal-to-noise ratio by using the model to be trained;

[0077] Determining a recognition training result according to whether the signal-to-noise ratio decreases proportionally with an increase in the total noise power;

[0078] Determine the difference between the recognition training result and the recognition result label to obtain a recognition loss value;

[0079] If the recognition loss value does not meet the preset loss standard, return to the step of analyzing the satellite signal sample through the model to be trained to obtain the recognition training result, and stop training until the recognition loss value meets the loss standard to obtain an anti-spoofing model that meets the loss standard.

[0080] It should be noted that the recognition result label is a label corresponding to each satellite signal sample, indicating whether the sample is a real Beidou satellite signal. These labels are usually determined by expert annotation or known signal features, and are used to train the model to identify real Beidou satellite signals. The model to be trained refers to a model that has not been fully trained, and needs to be trained by inputting satellite signal samples and corresponding recognition result labels to improve its ability to identify real Beidou satellite signals. The recognition training result is the result obtained after the model analyzes and identifies the input satellite signal samples during the training process. This result reflects the current recognition ability and accuracy of the model. The recognition loss value is a numerical indicator that measures the difference between the recognition training result and the recognition result label. The smaller the loss value, the closer the recognition result of the model is to the real label, and the better the performance of the model. The loss standard is a threshold set to determine whether the training of the model has achieved the expected goal. If the recognition loss value does not meet this standard, it means that the performance of the model is not ideal enough and needs to be further trained. The anti-spoofing model is a model that can effectively identify and resist spoofing signals after training. An anti-spoofing model that meets the loss standard means that it has high accuracy and reliability in identifying real Beidou satellite signals.

[0081] For example, in the scenario where Beidou satellites perform high-precision time synchronization for base stations, obtaining satellite signal samples and recognition result labels is a key step in training anti-spoofing models. First, it is necessary to capture radio signals from Beidou satellites through devices such as antennas and receivers, and convert them into digital signals to form satellite signal samples. These samples contain a variety of signal features, such as frequency, phase, power, etc., which can be used to train the model to identify real Beidou satellite signals. At the same time, in order to train the model, corresponding recognition result labels need to be prepared. These labels indicate whether each sample is a real Beidou satellite signal, which is usually determined by expert annotation or known signal features. With these labels, the satellite signal samples can be input into the preset model to be trained to start the training process. During the training process, the model to be trained will analyze the input satellite signal samples and try to identify which are real signals and which are spoofing signals. Each analysis will produce a recognition training result, which is compared with the preset recognition result label to calculate the recognition loss value. The recognition loss value is a quantitative indicator used to measure the difference between the recognition result of the model and the real label. If the recognition loss value does not meet the preset loss standard, it means that the recognition effect of the model is not ideal enough and further training is needed. The training process will be repeated, and the parameters of the model will be adjusted continuously until the recognition loss value meets the preset loss standard. At this point, the training process ends and an anti-spoofing model that meets the loss standard is obtained. This model can effectively identify and filter out spoofing signals in practical applications, ensuring that base stations achieve high-precision time synchronization through Beidou satellite signals.

[0082] In a feasible implementation manner, the step of determining the recognition training result according to whether the signal-to-noise ratio decreases proportionally when the total noise power increases includes:

[0083] Obtain historical satellite signal characteristics;

[0084] Performing carrier feature analysis on the satellite signal sample to obtain a first satellite signal feature;

[0085] Determine the difference between the first satellite signal feature and the historical satellite signal feature to obtain a historical feature difference value;

[0086] If the historical feature difference value does not meet the preset first difference value standard, the satellite signal sample is determined to be a spoofing signal, and the output is a recognition training result.

[0087] It should be noted that the historical satellite signal feature refers to the feature data of the Beidou satellite signal received in the past, which is used to compare with the Beidou satellite signal feature currently received to identify the authenticity of the signal. The model to be trained refers to a model that has not been fully trained, and needs to be trained by inputting satellite signal samples and corresponding historical satellite signal features to improve its ability to identify real Beidou satellite signals. The first satellite signal feature is the feature data obtained after the model analyzes the input satellite signal sample during the training process. This feature data reflects the current recognition ability and accuracy of the model. The historical feature difference value is a numerical indicator that measures the difference between the first satellite signal feature and the historical satellite signal feature. The smaller the difference value, the closer the current satellite signal sample is to the historical data, and the better the performance of the model. The first difference value standard is a threshold value set to determine whether the training of the model has achieved the expected goal. If the historical feature difference value does not meet this standard, it means that the performance of the model is not ideal enough and needs to be further trained. The spoofing signal refers to a false satellite signal artificially created for the purpose of interfering with or deceiving the receiving device so that it cannot perform time synchronization or other applications normally. The recognition training result is the result obtained after the model recognizes the input satellite signal sample during the training process.

[0088] For example, in the scenario where Beidou satellites perform high-precision time synchronization for base stations, obtaining historical satellite signal features is an important part of training anti-spoofing models. First, it is necessary to capture radio signals from Beidou satellites through devices such as antennas and receivers, and convert them into digital signals to form satellite signal samples. These samples contain a variety of signal features, such as frequency, phase, power, etc., which can be used to train models to identify real satellite signals. At the same time, in order to train the model, corresponding recognition result labels need to be prepared. These labels indicate whether each sample is a real Beidou satellite signal, which is usually determined by expert annotation or known signal features. With these labels, the satellite signal samples can be input into the preset model to be trained to start the training process. During the training process, the model to be trained will parse the input satellite signal samples and extract the first satellite signal feature. This feature combines the signal characteristics that the model considers to be the most important and is used to distinguish between real signals and spoofing signals. Each analysis will generate a first satellite signal feature, which is compared with the pre-acquired historical satellite signal features to calculate the historical feature difference value. The historical satellite signal features are accumulated through previous training and practical applications, and represent the features of known real satellite signals. If the historical feature difference value does not meet the preset first difference value standard, it means that the first satellite signal feature extracted by the model is significantly different from the historical satellite signal feature, and it is possible that a new spoofing signal has been encountered. In this case, the current satellite signal sample can be determined to be a spoofing signal, and this result can be output as the recognition training result. Through such training and verification, the model can continuously improve its ability to identify spoofing signals and ensure that the base station can achieve high-precision time synchronization through Beidou satellite signals.

[0089] In a feasible implementation manner, the step of determining the recognition training result according to whether the signal-to-noise ratio decreases proportionally when the total noise power increases includes:

[0090] Obtain historical meteorological disturbance characteristics;

[0091] Performing meteorological interference feature analysis on the satellite signal sample to obtain a second satellite signal feature;

[0092] Determine the difference between the second satellite signal characteristic and the historical meteorological interference characteristic to obtain a historical meteorological characteristic difference value;

[0093] If the historical meteorological feature difference value does not meet the preset second difference value standard, the satellite signal sample is determined to be a deception signal, and the output is the recognition training result.

[0094] It should be noted that the historical weather signal feature refers to the feature data of the weather-related Beidou satellite signal received in the past, which is used to compare with the Beidou satellite signal feature currently received to identify the authenticity of the signal. The model to be trained refers to a model that has not been fully trained, and needs to be trained by inputting satellite signal samples and corresponding historical weather signal features to improve its ability to identify real Beidou satellite signals. The second satellite signal feature is the feature data obtained after the model analyzes the input satellite signal sample during the training process. This feature data reflects the current recognition ability and accuracy of the model. The historical weather feature difference value is a numerical indicator that measures the difference between the second satellite signal feature and the historical weather signal feature. The second difference value standard: This is a threshold set to determine whether the model training has achieved the expected goal. If the historical weather feature difference value does not meet this standard, it means that the performance of the model is not ideal enough and needs to be further trained. The spoofing signal refers to a false satellite signal artificially created to interfere with or deceive the receiving device so that it cannot perform time synchronization or other applications normally. The recognition training result: This is the result obtained after the model recognizes the input satellite signal sample during the training process.

[0095] For example, in the scenario where Beidou satellites perform high-precision time synchronization for base stations, obtaining historical weather signal features is an important part of training anti-spoofing models. First, it is necessary to capture radio signals from Beidou satellites through devices such as antennas and receivers, and convert them into digital signals to form satellite signal samples. These samples contain a variety of signal features, such as frequency, phase, power, etc., which can be used to train the model to identify real Beidou satellite signals. At the same time, in order to train the model, corresponding recognition result labels need to be prepared. These labels indicate whether each sample is a real Beidou satellite signal, which is usually determined by expert annotation or known signal features. With these labels, the satellite signal samples can be input into the preset model to be trained to start the training process. During the training process, the model to be trained will parse the input satellite signal samples and extract the second satellite signal feature. This feature combines the signal characteristics that the model considers to be the most important and is used to distinguish between real signals and spoofing signals. Each analysis will generate a second satellite signal feature, which is compared with the pre-acquired historical weather signal feature to calculate the difference value of the historical weather feature. The historical weather satellite signal features are accumulated through previous training and practical applications, and represent the known characteristics of real Beidou satellite signals under different weather conditions. If the historical weather feature difference value does not meet the preset second difference value standard, it means that the second satellite signal feature extracted by the model is significantly different from the historical weather signal feature, and it is possible that a new spoofing signal has been encountered. In this case, it can be determined that the current satellite signal sample is a spoofing signal, and this result is output as the recognition training result. Through such training and verification, the model can continuously improve its ability to identify spoofing signals and ensure that the base station achieves high-precision time synchronization through Beidou satellite signals.

[0096] In a feasible implementation manner, before step S10, the following may be included:

[0097] Analyze the Beidou satellite signal to obtain a target noise interference frequency;

[0098] According to the target noise interference frequency, configure the parameters of the preset noise reducer;

[0099] The Beidou satellite signal is input into the noise reducer to obtain a Beidou satellite signal after noise reduction.

[0100] It should be noted that the target noise interference frequency refers to the main noise interference frequency determined when analyzing the Beidou satellite signal. By analyzing and processing this frequency, the impact of noise on the signal can be effectively reduced. The noise reducer is a device or algorithm for reducing noise interference in the signal. By adjusting the parameters of the noise reducer, filtering and processing can be performed for a specific noise interference frequency, thereby improving the quality of the signal. The parameter configuration refers to adjusting the relevant parameters of the noise reducer, such as the cutoff frequency and gain of the filter, according to the target noise interference frequency, to achieve the best noise reduction effect. The Beidou satellite signal after noise reduction refers to the Beidou satellite signal whose noise interference is effectively reduced after being processed by the noise reducer. The quality of this signal is higher than the original signal and is more suitable for subsequent signal analysis and application.

[0101] For example, in the scenario where Beidou satellites perform high-precision time synchronization for base stations, obtaining the receiving signal-to-noise ratio corresponding to Beidou satellite signals is an important step to ensure signal quality. First, it is necessary to capture the radio signal from the Beidou satellite through devices such as antennas and receivers and convert it into a digital signal. In this process, the receiving signal-to-noise ratio is a key parameter, which reflects the ratio of signal strength to noise strength, and directly affects the quality of the signal and the accuracy of subsequent processing. The acquisition of the receiving signal-to-noise ratio is usually completed by the signal processing unit inside the receiver. These units can perform preliminary filtering and amplification on the received signal and calculate the signal-to-noise ratio through a specific algorithm. The level of the signal-to-noise ratio can reflect the degree of interference during signal transmission and whether the signal is clear enough for further processing. Next, the Beidou satellite signal is analyzed to obtain the target noise interference frequency. This step involves spectrum analysis, the purpose of which is to find the main frequency components of noise interference. By analyzing the signal-to-noise ratio and spectrum information, it can be determined which frequency components are the main sources of noise interference. According to the target noise interference frequency, the parameters of the preset noise reducer are configured. A noise reducer is a signal processing device that filters out or suppresses noise interference of a specific frequency, thereby improving the quality of the signal. The parameter configuration of the noise reducer is based on the analysis results of the noise interference frequency, which ensures that the noise reducer has the best filtering effect on the target noise interference frequency. Finally, the Beidou satellite signal is input into the noise reducer to obtain a Beidou satellite signal with noise reduction. After the noise reduction processing, the signal-to-noise ratio of the Beidou satellite signal is improved, and the noise interference is effectively suppressed, so that time synchronization and other applications can be performed more accurately. This series of operations ensures that the base station can obtain high-precision time synchronization through high-quality Beidou satellite signals, improving the reliability and performance of the system.

[0102] In a feasible implementation manner, step S30 may include:

[0103] If the target identification result is false, a fraud warning message is sent to a preset receiving device;

[0104] Get the highest priority local clock synchronization signal;

[0105] The base station is time synchronized by using the local clock synchronization signal.

[0106] It should be noted that the target identification result refers to the result obtained after identifying a specific target through target identification technology or model. If the result is false, it means that the identified target is false or deceived. The deception warning information refers to a warning message generated when the target identification result is false, which is used to notify relevant personnel or systems that there is a risk of deception signals. The receiving device refers to a pre-set device or system for receiving deception warning information. This device usually has the ability to process and respond to warning information. The local clock synchronization signal refers to a signal generated by the local clock for time synchronization with other devices. The local clock synchronization signal usually has a higher priority to ensure the accuracy and reliability of time synchronization.

[0107] For example, in the scenario where Beidou satellites provide high-precision time synchronization to base stations, it is crucial to ensure the authenticity of the signal. First, the radio signals from Beidou satellites are captured by devices such as antennas and receivers, and converted into digital signals to form satellite signal samples. These samples contain a variety of signal features, such as frequency, phase, power, etc., which can be used to identify the authenticity of the signal. During the signal processing process, there will be an identification result label indicating whether each sample is a real Beidou satellite signal. This label is usually determined by expert annotation or known signal features. If the target identification result obtained by the model is false through analysis and comparison, that is, the current satellite signal sample is determined to be a spoofing signal, the system will send a spoofing warning message to the preset receiving device. These receiving devices may be the operating interface, monitoring center or related management system of the base station, with the purpose of notifying the operator or system in time and taking corresponding measures to avoid incorrect time synchronization. At the same time, in order to ensure that the time synchronization of the base station is not affected by spoofing signals, the system will obtain the highest priority local clock synchronization signal. The local clock synchronization signal is usually based on other reliable clock sources, such as atomic clocks, network time protocol servers, etc., which can provide high-precision time information. By synchronizing the base station with the local clock synchronization signal, it can be ensured that even if the Beidou satellite signal is interfered with or deceived, the base station can still maintain accurate time synchronization, thereby maintaining the stability and reliability of the system. By identifying and processing the authenticity of the Beidou satellite signal, combined with the local clock synchronization signal, the threat of deceptive signals can be effectively dealt with, ensuring that the base station obtains high-precision time synchronization.

[0108] For example, in modern communication systems, high-precision time synchronization is essential for the normal operation of 5G base stations. As a global navigation satellite system (GNSS), the Beidou satellite navigation system can provide high-precision time synchronization signals, providing a reliable source for the time synchronization of 5G base stations. Through historical data records, the signal characteristics sent by Beidou satellites in the past time period are obtained. These historical data will be used to train anti-spoofing models to identify and process future satellite signals. The Beidou satellite signal samples received in real time are parsed by the trained anti-spoofing model to obtain satellite signal characteristics. The satellite signal characteristics are compared with the historical satellite signal characteristics to calculate the historical characteristic difference value. If the historical characteristic difference value does not meet the preset difference value standard, the currently received satellite signal sample is considered to be a spoofing signal. According to the recognition result of the satellite signal sample by the model, the output is the recognition training result.

[0109] When receiving Beidou satellite signals, measure and record the received signal-to-noise ratio. The signal-to-noise ratio directly affects the quality and reliability of the signal. Analyze the received satellite signals to determine the main noise interference frequency. Configure the parameters of the preset noise reducer according to the target noise interference frequency. By adjusting the parameters of the noise reducer, the noise interference of a specific frequency can be effectively filtered out to improve the signal quality. Input the received Beidou satellite signal into the noise reducer for noise reduction processing. After noise reduction processing, the satellite signal has higher quality and is more suitable for time synchronization.

[0110] If the identified satellite signal is false, that is, there is a risk of spoofing the signal, a spoofing warning message is sent to the preset receiving device. This warning message is used to notify relevant personnel or systems to take appropriate measures to ensure the safety and stability of the system. Get the highest priority clock synchronization signal from the local clock. The local clock synchronization signal usually has high accuracy and reliability and can be used to synchronize the time of 5G base stations. The 5G base station is synchronized with the local clock synchronization signal obtained. This process is to ensure that the time of the base station is consistent with the reference time source, thereby improving the accuracy and reliability of the system. During the time synchronization process, the quality and reception of the satellite signal are continuously monitored, and the model parameters and noise reducer configuration are adjusted and optimized in a timely manner to ensure the accuracy and reliability of time synchronization.

[0111] It is understandable that through the above process, Beidou satellites can provide high-precision time synchronization signals for 5G base stations to ensure that the time synchronization requirements of base stations are met. This not only improves the stability and reliability of 5G networks, but also provides a solid time foundation for various 5G-based applications.

[0112] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the time synchronization method based on Beidou satellite signals of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0113] This application also provides a time synchronization device based on Beidou satellite signals, please refer to Figure 2 , the time synchronization device based on Beidou satellite signal includes:

[0114] An acquisition module 10 is used to acquire Beidou satellite signals;

[0115] The identification module 20 is used to identify the spoofed signal of the Beidou satellite signal through a preset anti-spoofing model to obtain a target identification result, wherein the anti-spoofing model is obtained by training a preset to-be-trained model with satellite signal samples and identification result labels;

[0116] The synchronization module 30 is used to perform time synchronization on a preset base station based on the Beidou satellite signal if the target recognition result is true.

[0117] And / or, the time synchronization device based on Beidou satellite signals includes:

[0118] The first acquisition module is used to acquire satellite signal samples and recognition result labels;

[0119] A second acquisition module is used to obtain the signal-to-noise ratio of the satellite signal sample and the corresponding total noise power of the receiver;

[0120] A first input module, used for inputting the signal-to-noise ratio and the total noise power of the satellite signal sample into a preset model to be trained;

[0121] A first detection module, used for detecting the total noise power and the signal-to-noise ratio through the model to be trained;

[0122] A first determination module, configured to determine a recognition training result according to whether the signal-to-noise ratio decreases proportionally with an increase in the total noise power;

[0123] A first judgment module is used to judge the difference between the recognition training result and the recognition result label to obtain a recognition loss value;

[0124] The first loop module is used to return to the step of analyzing the satellite signal sample through the model to be trained to obtain the identification training result if the identification loss value does not meet the preset loss standard, and stop training after the identification loss value meets the loss standard to obtain an anti-spoofing model that meets the loss standard.

[0125] And / or, the first determining module includes:

[0126] The third acquisition module is used to obtain historical satellite signal characteristics;

[0127] A first analysis module, configured to perform carrier feature analysis on the satellite signal sample to obtain a first satellite signal feature;

[0128] A second judgment module is used to judge the difference between the first satellite signal feature and the historical satellite signal feature to obtain a historical feature difference value;

[0129] The second determination module is used to determine that the satellite signal sample is a spoofing signal if the historical feature difference value does not meet a preset first difference value standard, and output it as a recognition training result.

[0130] And / or, the first determining module includes:

[0131] The fourth acquisition module is used to obtain historical meteorological interference characteristics;

[0132] A second analysis module is used to analyze the satellite signal sample for meteorological interference characteristics to obtain a second satellite signal characteristic;

[0133] A third judgment module is used to judge the difference between the second satellite signal characteristic and the historical meteorological interference characteristic to obtain a historical meteorological characteristic difference value;

[0134] The third determination module is used to determine that the satellite signal sample is a deception signal if the historical meteorological feature difference value does not meet the preset second difference value standard, and output it as the recognition training result.

[0135] And / or, the time synchronization device based on Beidou satellite signals includes:

[0136] A first analysis module is used to analyze the Beidou satellite signal to obtain a target noise interference frequency;

[0137] A first configuration module, configured to configure parameters of a preset noise reducer according to the target noise interference frequency;

[0138] The second input module is used to input the Beidou satellite signal into the noise reducer to obtain the Beidou satellite signal after noise reduction.

[0139] And / or, the time synchronization device based on Beidou satellite signals includes:

[0140] A first sending module, configured to send a fraud warning message to a preset receiving device if the target recognition result is false;

[0141] A fifth acquisition module, used to acquire a local clock synchronization signal with the highest priority;

[0142] The first synchronization module is used to perform time synchronization on the base station through the local clock synchronization signal.

[0143] The time synchronization device based on Beidou satellite signals provided by the present application adopts the time synchronization method based on Beidou satellite signals in the above-mentioned embodiment, which can solve the technical problem of low success rate of 5G base station time synchronization. Compared with the prior art, the beneficial effects of the time synchronization device based on Beidou satellite signals provided by the present application are the same as the beneficial effects of the time synchronization method based on Beidou satellite signals provided by the above-mentioned embodiment, and the other technical features of the time synchronization device based on Beidou satellite signals are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0144] The present application provides a time synchronization device based on Beidou satellite signals, the time synchronization device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the time synchronization method based on Beidou satellite signals in the above-mentioned embodiment 1.

[0145] Reference below Figure 3 , which shows a schematic diagram of the structure of a time synchronization device based on Beidou satellite signals suitable for implementing the embodiment of the present application. The time synchronization device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, tablet computers, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The Beidou satellite signal-based time synchronization device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0146] like Figure 3As shown, the time synchronization device based on Beidou satellite signals may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. Various programs and data required for the operation of the time synchronization device based on Beidou satellite signals are also stored in RAM1004. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the time synchronization device based on the Beidou satellite signal to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a time synchronization device based on the Beidou satellite signal with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0147] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0148] The time synchronization device based on Beidou satellite signals provided by this application adopts the time synchronization method based on Beidou satellite signals in the above embodiment, which can solve the technical problem of low success rate of 5G base station time synchronization. Compared with the prior art, the beneficial effects of the time synchronization device based on Beidou satellite signals provided by this application are the same as the beneficial effects of the time synchronization method based on Beidou satellite signals provided in the above embodiment, and the other technical features of the time synchronization device based on Beidou satellite signals are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0149] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0150] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0151] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the time synchronization method based on Beidou satellite signals in the above-mentioned embodiment.

[0152] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0153] The above-mentioned computer-readable storage medium may be included in a time synchronization device based on Beidou satellite signals; or it may exist independently without being assembled into a time synchronization device based on Beidou satellite signals.

[0154] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by a time synchronization device based on Beidou satellite signals, the time synchronization device based on Beidou satellite signals: acquires satellite signals;

[0155] Performing spoofing signal recognition on the satellite signal through a preset anti-spoofing model to obtain a target recognition result, wherein the anti-spoofing model is obtained by training a preset to-be-trained model with satellite signal samples and recognition result labels;

[0156] If the target identification result is true, time synchronization is performed on a preset base station based on the satellite signal.

[0157] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0158] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0159] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0160] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned time synchronization method based on Beidou satellite signals, and can solve the technical problem of low success rate of 5G base station time synchronization. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the time synchronization method based on Beidou satellite signals provided in the above-mentioned embodiment, and will not be repeated here.

[0161] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned time synchronization method based on Beidou satellite signals.

[0162] The computer program product provided in this application can solve the technical problem of low success rate of 5G base station time synchronization. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the time synchronization method based on Beidou satellite signals provided in the above embodiment, which will not be repeated here.

[0163] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A time synchronization method based on Beidou satellite signals, characterized in that: The method includes: Obtain satellite signal samples and identification result labels; Obtaining the signal-to-noise ratio of the satellite signal samples and the corresponding total noise power of the receiver; Inputting the signal-to-noise ratio of the satellite signal sample and the total noise power into a preset model to be trained; Detecting the total noise power and the signal-to-noise ratio by using the model to be trained; Obtain historical satellite signal characteristics; Performing carrier feature analysis on the satellite signal sample to obtain a first satellite signal feature; Determine the difference between the first satellite signal feature and the historical satellite signal feature to obtain a historical feature difference value; If the historical feature difference value does not meet the preset first difference value standard, the satellite signal sample is determined to be a spoofing signal, and the output is a recognition training result; Determine the difference between the recognition training result and the recognition result label to obtain a recognition loss value; If the recognition loss value does not meet the preset loss standard, returning to the step of analyzing the satellite signal sample through the model to be trained to obtain the recognition training result, and stopping the training until the recognition loss value meets the loss standard to obtain the anti-spoofing model that meets the loss standard; Get Beidou satellite signals; Performing spoofing signal recognition on the Beidou satellite signal through a preset anti-spoofing model to obtain a target recognition result, wherein the anti-spoofing model is obtained by training a preset to-be-trained model with satellite signal samples and recognition result labels; If the target recognition result is true, the preset base station is time synchronized based on the Beidou satellite signal.

2. The method according to claim 1, characterized in that After the step of performing carrier feature analysis on the satellite signal sample to obtain the first satellite signal feature, the following steps are included: Obtain historical meteorological disturbance characteristics; Performing meteorological interference feature analysis on the satellite signal sample to obtain a second satellite signal feature; Determine the difference between the second satellite signal characteristic and the historical meteorological interference characteristic to obtain a historical meteorological characteristic difference value; If the historical meteorological feature difference value does not meet the preset second difference value standard, the satellite signal sample is determined to be a spoofing signal, and the output is the recognition training result.

3. The method according to claim 1, characterized in that The step of acquiring Beidou satellite signals then includes: Analyze the Beidou satellite signal to obtain a target noise interference frequency; According to the target noise interference frequency, configure the parameters of the preset noise reducer; The Beidou satellite signal is input into the noise reducer to obtain a Beidou satellite signal after noise reduction.

4. The method according to claim 1, characterized in that The step of performing time synchronization on a preset base station based on the Beidou satellite signal includes: If the target identification result is false, a fraud warning message is sent to a preset receiving device; Get the highest priority local clock synchronization signal; The base station is time synchronized by using the local clock synchronization signal.

5. A time synchronization device, characterized in that: The device comprises: The first acquisition module is used to acquire satellite signal samples and recognition result labels; A second acquisition module is used to obtain the signal-to-noise ratio of the satellite signal sample and the corresponding total noise power of the receiver; A first input module, used for inputting the signal-to-noise ratio and the total noise power of the satellite signal sample into a preset model to be trained; A first detection module, used for detecting the total noise power and the signal-to-noise ratio through the model to be trained; The third acquisition module is used to obtain historical satellite signal characteristics; A first analysis module, configured to perform carrier feature analysis on the satellite signal sample to obtain a first satellite signal feature; A second judgment module is used to judge the difference between the first satellite signal feature and the historical satellite signal feature to obtain a historical feature difference value; A second determination module is used to determine that the satellite signal sample is a spoofing signal if the historical feature difference value does not meet a preset first difference value standard, and output it as a recognition training result; A first judgment module is used to judge the difference between the recognition training result and the recognition result label to obtain a recognition loss value; A first loop module is used for returning to the step of analyzing the satellite signal sample through the model to be trained to obtain the recognition training result if the recognition loss value does not meet the preset loss standard, and stopping the training until the recognition loss value meets the loss standard to obtain the anti-spoofing model that meets the loss standard; Acquisition module, used to acquire Beidou satellite signals; An identification module is used to identify spoofed signals on the Beidou satellite signal through a preset anti-spoofing model to obtain a target identification result, wherein the anti-spoofing model is obtained by training a preset model to be trained by using satellite signal samples and identification result labels; A synchronization module is used to perform time synchronization on a preset base station based on the Beidou satellite signal if the target recognition result is true.

6. A time synchronization device based on Beidou satellite signals, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the Beidou satellite signal-based time synchronization method according to any one of claims 1 to 4.

7. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the time synchronization method based on Beidou satellite signals as described in any one of claims 1 to 4 are implemented.

8. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the Beidou satellite signal-based time synchronization method according to any one of claims 1 to 4 are implemented.

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