113 results about "Synchronization algorithm" patented technology

The invention discloses a ring main unit monitoring method and system based on the Internet of Things, and the method comprises the steps: building a multi-source data collection network of a ring main unit, extracting the multi-dimensional time-frequency domain features of a signal through an edge computing device, generating a multi-source feature data set, and constructing a dynamic digital twinborn model, real-time mapping of the running state of the ring main unit is achieved through a physical-virtual synchronization algorithm, and twin data volumes are output; according to the node influence coefficient of the twin data volume, analyzing a topological structure of a ring network system by adopting a graph neural network, identifying a key fault propagation path and generating a priority monitoring node list; based on the priority monitoring node list and the twin data volume, dynamically generating an adaptive monitoring strategy through a reinforcement learning algorithm, executing the adaptive monitoring strategy and collecting feedback data in real time, and completing closed-loop iteration of the monitoring strategy through an online learning algorithm; through closed-loop control of multi-source perception-digital twinning-intelligent decision, high efficiency, intelligence and reliability of ring main unit monitoring are realized.

The invention discloses a multi-modal data driven power distribution network equipment state evaluation and optimization method, and relates to the technical field of power distribution network equipment, multi-modal data is collected, the data is from multiple equipment and operating environments in a power distribution network, and sensor data comprises real-time monitoring data of the equipment; and performing time sequence correction and synchronization processing on the acquired multi-modal data, and ensuring time alignment between different data sources through an advanced time sequence synchronization algorithm. According to the method, the dynamic time warping algorithm and deep learning are combined, the problem of multi-modal data synchronization is solved, the state of the power distribution network equipment is evaluated in real time, faults are recognized in advance, and early warning is provided. The reinforcement learning algorithm optimizes load distribution and self-healing scheduling, and improves the operation efficiency and fault recovery capability of the power distribution network. The system also generates intelligent early warning and maintenance decisions through the combination of deep learning and reinforcement learning, predicts faults, provides maintenance suggestions, optimizes operation and maintenance, prolongs the service life of equipment, and improves the overall stability of the power distribution network.

The invention relates to the technical field of flow anomaly identification, and discloses a flow anomaly identification method for a numerical control machine tool protocol, which comprises the following steps of: 1, multi-source data acquisition: acquiring various types of data from a numerical control machine tool and a control system thereof by arranging a data acquisition module, the data sources include network protocol flow data, machine tool sensor data, operation log data and equipment environment data, and the data formats of the data sources are kept uniform; the collected original data is subjected to standardization processing, the problems of data dimension inconsistency, noise interference and missing values are solved, and alignment of the data on a time axis is guaranteed through a synchronization algorithm; through a multi-source data acquisition and high-precision sensor system, the real-time monitoring of the flow of each key fluid system of the numerical control machine tool is realized. And by combining a plurality of feature extraction methods, the traffic anomaly can be effectively identified.

The present application relates to the field of behavior recognition technology, and discloses a behavior recognition method, device, equipment, storage medium and computer program product, including: obtaining multi-source heterogeneous data collected by a multimodal sensor network, and performing spatiotemporal synchronization and fusion processing on the multi-source heterogeneous data based on a spatiotemporal synchronization algorithm to obtain target comprehensive data; extracting low-dimensional feature vectors from the target comprehensive data, and combining the attention mechanism to perform time series modeling on the low-dimensional feature vectors to construct a behavior dynamic model; performing behavior recognition on the real-time collected operation process information according to the behavior dynamic model, and outputting the personnel behavior category. By integrating multi-source heterogeneous data in the complex environment of the power plant, and accurately extracting key features, and capturing the dynamic change laws of behavior and state, the model can accurately distinguish various types of personnel behaviors under normal operating procedures or complex and changeable working conditions, and realizes real-time and accurate recognition of violations and abnormal behaviors in power plant operations.

The invention discloses a power operation behavior intelligent identification and evaluation method in a multi-machine cooperation mode. The method is realized through multiple steps: multi-source data collaborative acquisition and time-space consistency calibration are realized by combining Beidou / GPS dual-mode positioning with an inertial measurement unit to acquire data, and a unified time-space coordinate system is constructed through an improved synchronization algorithm and time-space calibration; edge end adaptive feature enhancement and fusion are carried out, image details are enhanced by means of a generative adversarial network and the like, and multiple types of features are extracted; the multi-machine collaborative decision and risk judgment realize accurate risk assessment through a three-level fusion mechanism and a dynamic weight distribution strategy; performing dynamic evaluation and closed-loop management and control, establishing a multi-dimensional index system, generating a real-time report in combination with an improved fuzzy analytic hierarchy process, and triggering intervention; and carrying out data security storage and model optimization, and ensuring security and optimizing the model by adopting hierarchical encryption and federal learning.

The invention discloses a digital human real-time interaction system and an AI voice dialogue chip circuit system thereof, and the system employs a modular design, and comprises the following modules: a BaseReal module which is responsible for audio frame management, TTS service initialization, video recording and customized audio and video cycle management; the media stream management module has an audio stream processing function and is responsible for real-time transmission of audio and video streams; the speech recognition module is responsible for speech feature extraction and text conversion; the text-to-voice module is used for converting the collected audio data into a text; the lip shape synchronization module is used for realizing real-time lip shape synchronization animation generation through lip shape synchronization algorithm optimization and inheritance of a basic class; and the large model module comprises an LLM large model based on mass data fine tuning, an api interface or a workflow agent. The method has the effects of voice recognition, text-to-voice conversion, lip shape synchronization, real-time audio and video interaction, real-time translation and the like.

A method of audio processing combining WiFi and BLE technologies includes: obtaining target audio data including multi-channel information; establishing connections among audio devices corresponding to multiple rooms through WiFi and BLE Auracast™ protocols; dynamically configuring distribution paths according to intelligent distance detection results, and obtaining a configured audio distribution network; adjusting, using a synchronization algorithm in the BLE Auracast™ protocol, a timing sequence of the target audio data, and obtaining synchronized audio data; and transmitting, according to the configured audio distribution network, the synchronized audio data via WiFi or the BLE Auracast™ protocol to each audio device for playback.

The invention provides a novel magnesium alloy refining control system which comprises the steps that according to melt velocity field and concentration field data, a real-time data set is combined, melt state feature vectors are extracted, and an initial state feature set is generated and used for follow-up prediction and optimization processing; aiming at different sensor sampling frequencies and data formats, applying a timestamp aligned multi-source data synchronization algorithm, fusing the real-time data sets, and generating a fused data set with a unified format; according to the fusion data set and the initial state feature set, applying a long short-term memory network time sequence prediction algorithm to generate future change trend data of melt component distribution and flow state; and according to the change trend data and the initial state feature set, a refining parameter optimization model based on gradient descent is constructed, an optimized refining process parameter set is generated, and the melt state is adjusted.

The invention discloses a cooperative autonomous synchronous networking method for a multi-networking type energy storage converter without communication interconnection. The method comprises the following steps: S1, state perception and estimation based on local measurement: acquiring local electrical parameters in real time by using a sensor, and performing state estimation through an improved Kalman filtering algorithm and a local dynamic model; s2, a cooperation mechanism of the virtual synchronous machine and droop control: combining the virtual synchronous machine with the droop control mechanism, and realizing automatic power adjustment and cooperation work by setting a virtual inertia, a damping coefficient and a droop coefficient; s3, self-adaptive synchronization algorithm: based on the local state estimation and the output of the virtual synchronous machine, adjusting the phase and frequency of the output voltage, and dynamically adjusting synchronization parameters according to the state of the power grid; and S4, detecting a fault by monitoring local electrical parameters and a self state in real time, and automatically adjusting a control strategy and realizing system fault tolerance when the fault occurs.

The invention discloses a machine tool running state collection and evaluation method and system, and relates to the field of intelligent machine tools, and the method comprises the steps: collecting machine tool multi-dimensional data through a multi-channel collection device; performing time alignment on different sampling frequency signals by adopting a dynamic synchronization algorithm of clock drift compensation; executing noise suppression, feature extraction and compressed encoding at the edge computing node to generate local state abstract data; sending the abstract data to a central server through a distributed message queue, and realizing multi-application concurrent access based on load dynamic scheduling; and the central server performs fusion analysis on the abstract data by using a multi-modal fusion deep network model, and outputs a health degree index and an overall operation score of the key parts of the machine tool, thereby realizing intelligent evaluation and health prediction of the operation state of the machine tool. The method realizes global perception and intelligent evaluation of the machine tool operation state, and can be widely applied to operation monitoring and health management of high-end numerical control machine tools, complex machining centers and unmanned production lines.

The invention relates to the technical field of Internet of Things gateways, and discloses an Internet of Things gateway device and system based on edge computing, and the device comprises a hardware heterogeneous computing module and a multi-interface protocol adaptation module. The edge calculation local processing module is used for performing preprocessing, feature extraction and local decision on the acquired terminal data; the network redundancy and self-healing module is used for realizing accurate network disconnection detection, seamless switching of a main network and a standby network and equipment fault self-recovery through a multi-dimensional network health degree evaluation algorithm; the local autonomous storage module is used for realizing hierarchical storage of high-frequency data and network disconnection emergency data and seamless synchronization after network recovery through network disconnection data hierarchical caching and an incremental synchronization algorithm; and the cloud collaborative management module is used for realizing remote configuration, OTA upgrading and state monitoring. The method is high in integration, low in delay and fast in response, adapts to real-time scenes, saves bandwidth cost, improves cloud efficiency, is high in reliability, and realizes network disconnection and continuous operation.

The invention belongs to the technical field of product production cycle management, and particularly relates to an electronic image-text file remote multi-bin collaborative storage method based on a PLM. Comprising the steps that a 1 + N hybrid storage architecture is constructed, one center bin is deployed in an enterprise headquarter data center and stores full document metadata and latest version files, and N area bins are deployed according to geographic areas and store cache copies and incremental update data of local high-frequency access documents; the remote multi-warehouse document increment synchronization is realized through an intelligent synchronization engine, and the intelligent synchronization engine adopts a content awareness increment synchronization algorithm and a dynamic synchronization strategy based on network quality; version management is realized through a version cooperative control module, and the version cooperative control module is used for establishing a global version number mapping mechanism and a conflict resolution decision tree; cross-warehouse process automation is realized through a cross-warehouse workflow engine, and the cross-warehouse workflow engine integrates a BPM process engine and a message queue; the method can adapt to a remote network environment, and the large file synchronization efficiency is improved.

The invention provides an intelligent sorting terminal and cloud data synchronization method and system. The method comprises the following steps: receiving state updating information of the intelligent sorting terminal, performing analysis processing, and generating a terminal state snapshot; on the basis of the terminal state snapshot, the difference between the cloud storage task template and the current task progress is finely analyzed by applying an increment synchronization algorithm, and a real-time difference detection technology is adopted to perform precise processing to generate the latest working state of the terminal; based on the latest working state of the terminal, performing encryption processing by applying a secure transmission algorithm under a zero-trust architecture, and finishing updating processing through a preset secure channel by adopting a multi-path transmission technology to generate an updated local data state; and based on the updated local data state, feeding back confirmation information to the cloud, evaluating and adjusting task allocation and resource configuration of the intelligent sorting terminal, and generating a data synchronization strategy. According to the technical scheme provided by the invention, efficient and safe data synchronization is realized, and the terminal is ensured to be always in the optimal working state.

The invention belongs to the technical field of communication and information systems, and particularly relates to a synchronous access system and method based on an MF-TDMA system. Comprising a signal processing device, a synchronous access device and a control device, the signal processing device receives, processes, demodulates and decodes forward downlink signals of a VSAT master station and reverse uplink signals of a VSAT small station, and analyzes and restores signaling and service data information of system master station and small station communication; the synchronous access device comprises a system synchronization module, a time difference calculation module, a time delay test module and an excitation generation module. The VSAT satellite communication network space link signal synchronous access method has the advantages that a satellite system synchronization technology, a position data-based time synchronization algorithm, a space time delay measurement technology and an MF-TDMA channel real-time tracking technology are used for carrying out space link signal synchronous access on a VSAT satellite communication network; synchronous access of a space signal link of the VSAT satellite network is realized by using methods based on VSAT satellite system synchronization mechanism analysis processing, system reverse channel resource monitoring, idle time slot signal measurement, MF-TDMA system emission time calculation and the like, and the method can provide technical support for further signaling and service data access and information management and control. And smart and efficient management and control of the VSAT satellite communication network are realized.

The invention discloses a cross-platform seamless data synchronization method, a cross-platform seamless data synchronization system and electronic equipment for development of an App (Application Program) in the gap of Mongolia. The method comprises the following steps: defining a unified data model and an API (Application Program Interface); implementing a specific adapter for the platform; acquiring data from the API interface; updating database data according to the data obtained from the API interface by using an incremental synchronization algorithm based on a timestamp; if the offline condition occurs, using an offline queue to assist in updating database data; setting a final modification timestamp for the modification data record; processing the modified data by using a difference comparison algorithm to obtain data which is different from the last synchronization; processing platform specific data type conversion and storage modes; transmitting data different from the last synchronization; and carrying out conflict resolution on concurrent modification. Compared with the prior art, the method and the system have the advantages that data interaction between the swan mongolian system and other mainstream systems can be realized, the consistency of cross-platform data is ensured, the network bandwidth occupation is reduced, and the user experience and the system performance are improved.

The invention discloses a network time synchronization method, device and equipment and a computer program product, the network time synchronization method is executed by a network time synchronization system, the network time synchronization system comprises a plurality of network nodes, and each network node is equipped with an independent clock source. The network time synchronization method comprises the following steps: receiving a time signal generated by a clock source on each network node; screening the received time signals generated by each clock source to obtain screened time signals; based on the screened time signals, determining an optimal time reference by using a preset multi-clock combination synchronization algorithm; and correcting a local clock of the network node according to the optimal time reference. Through multi-clock combination and a collaborative synchronization mechanism, high-precision time synchronization can be realized without depending on expensive high-precision hardware, the deployment cost is remarkably reduced, the high performance of the system is ensured, and the system adapts to a complex network environment.

The present invention relates to the technical field of data communication, and relates to a precise time synchronization clock parameter estimation method based on optimal invariant estimation. In the present invention, in a communication scene where unknown random time delay distribution information is present, on the basis of a precise time protocol, timestamp interaction is achieved by means of bidirectional data packet transfer between a master node and a slave node, and a clock relation model between the master node and the slave node is established; considering that a plurality of intermediate devices exist in the data packet interaction process, resulting that random time delay distribution information cannot be accurately obtained, a Gaussian mixture model is used to model a random time delay distribution, a competitive expectation maximization algorithm is used to learn mixture model parameters; and finally, on the basis of the parameters obtained by learning, an optimal invariant estimation method is used to estimate a clock frequency offset and a clock phase offset simultaneously, so as to realize time synchronization between the master node and the slave node. The present invention improves the accuracy of clock frequency offset estimation and clock phase offset estimation, is suitable for a communication scene where unknown random time delay distribution information is present, and enhances the robustness of the synchronization algorithm to a communication time delay.

The invention relates to a method and system for assisting clinical psychotherapy through traditional Chinese medicine music therapy. The method comprises the following steps: extracting five-tone frequency, rhythm and timbre characteristics of music, dynamically converting audio data into a dynamic image frame sequence in combination with a color mapping rule, and realizing multi-sensory real-time matching of the music and visual elements by utilizing a time synchronization algorithm and collaborative intensity calculation. And finally, dynamic collaborative stimulation is output through a streaming media transmission technology. Therefore, on the basis of retaining the kernel of the five-tone regulation theory in the traditional Chinese medicine, the problems of audio-visual splitting and difficulty in quantitative implementation of the theory in the traditional method are solved, and the multi-modal synergistic effect and clinical suitability of the music therapy in emotion and cognitive regulation are remarkably improved.

The invention belongs to the field of unmanned aerial vehicle data transmission, and relates to an MIMO-OFDM time-frequency synchronization method suitable for a strong multipath channel of an unmanned aerial vehicle. Comprising the following steps: (1) determining the number of transmitting antennas, the length of a lead code and a pseudo-random sequence; (2) generating a multi-antenna sending lead code sequence by using the pseudo-random sequence; (3) generating a sending data frame by using the multi-antenna lead code; (4) correlation is carried out before and after the lead code sequence to carry out coarse time synchronization; (5) performing decimal frequency offset estimation, and compensating the received data; (6) calculating a two-dimensional metric function of integer frequency offset estimation and fine time synchronization; (7) jointly performing strongest path search and integer frequency offset estimation; and (8) searching on the basis of the strongest path to obtain a fine synchronization result. According to the method, the orthogonal preamble sequence independent of the number of antennas is designed at the sending end of the MIMO-OFDM communication system of the unmanned aerial vehicle, the coarse synchronization algorithm and the fine synchronization algorithm of the receiving end adapt to a multipath channel and are not affected by frequency offset, the frequency offset estimation range is large, and good synchronization performance can be achieved.

The present invention belongs to the field of unmanned aerial vehicle data transmission, and is a MIMO-OFDM time-frequency synchronization method suitable for unmanned aerial vehicle strong multipath channels. It includes: (1) determining the number of transmitting antennas, the length of the preamble code and the pseudo-random sequence; (2) using the pseudo-random sequence to generate a multi-antenna transmission preamble code sequence; (3) using the multi-antenna preamble code to generate a transmission data frame; (4) correlating the preamble code sequence before and after for coarse time synchronization; (5) performing fractional frequency offset estimation and compensating the received data; (6) calculating the two-dimensional metric function of integer frequency offset estimation and fine time synchronization; (7) jointly performing the strongest path search and integer frequency offset estimation; (8) searching based on the strongest path to obtain a fine synchronization result. The present invention designs an orthogonal preamble sequence independent of the number of antennas at the transmitting end of the unmanned aerial vehicle MIMO-OFDM communication system. The coarse synchronization and fine synchronization algorithms at the receiving end are adapted to multipath channels, are not affected by frequency offset, have a large frequency offset estimation range, and can achieve good synchronization performance.

The invention relates to a low earth orbit satellite-oriented frequency offset estimation and compensation method, and belongs to the technical field of satellite communication. Aiming at the problems of failure of a traditional synchronization algorithm, complex calculation of a dual-state model, difficulty in parameter setting and the like caused by ultra-large frequency offset due to high-speed movement of a low-orbit satellite, the method comprises the following steps of: firstly, detecting integer frequency offset through cross-correlation of a received signal and a local PSS sequence and compensating the integer frequency offset; secondly, estimating decimal frequency offset by adopting a segmented correlation method; and finally, inputting the total frequency offset observation value into a single-state Kalman filter, and carrying out iterative correction by taking the known Doppler frequency offset change rate as a control quantity. The method has the technical effects that the synchronization stability in a low signal-to-noise ratio environment is remarkably improved, the system complexity is greatly reduced, the multi-parameter coupling problem is eliminated, the dynamic scene adaptability is enhanced, and a high-precision synchronization solution is provided for space-ground integrated communication.

The invention provides a reverse time offset compensation method, device and equipment and a medium, and the method comprises the steps: determining a superframe header position through employing a superframe synchronization algorithm when a digital video broadcasting DVB terminal searches a satellite; performing frame format analysis processing based on the superframe header position to obtain a corresponding frame type format; when the superframe header position is in an available state, obtaining a theoretical frame header position corresponding to the frame type format according to the frame type format; and according to the theoretical frame header position and the superframe header position, determining a time offset error value and sending the time offset error value to a signaling processing unit, so that the signaling processing unit performs time offset compensation correction according to the time offset error value and determines a target time offset value. According to the scheme, the access stability and the data transmission reliability of the DVB communication system are improved.

The application provides a network distribution DTU data synchronization method supporting multiple synchronization algorithms, comprising: setting multiple synchronization algorithm calculation modules, a synchronization algorithm self-switching module and a sampling synchronization calculation module for a DTU device; the multiple synchronization algorithm calculation modules configure multiple synchronization algorithms and calculate synchronization parameters based on each synchronization algorithm, including synchronization quality Q; the synchronization algorithm self-switching module selects a synchronization algorithm with optimal synchronization quality according to the network type used for communication between each DTU device, the synchronization quality Q and the accuracy of each synchronization algorithm, and obtains the synchronization parameters corresponding to the synchronization algorithm with optimal synchronization quality; the sampling synchronization calculation module uses the synchronization parameters provided by the synchronization algorithm self-switching module and the opposite side sampling data sent by the opposite side DTU device to perform calculation, and converts the opposite side sampling data into synchronization data synchronized with the local side sampling data. The application can realize sampling synchronization of the DTU device under multiple synchronization algorithms in the scene of multiple opposite side devices interconnected.

The invention provides a time synchronization method for space laser communication, which relates to the technical field of laser communication, and comprises the following steps: encoding a time signal, modulating a frequency signal, compounding into an original communication signal, transmitting the original communication signal from a ground end to a space end, and receiving the signal by the space end after the signal is transmitted in the space; the space end demodulates the received communication signal, and performs synchronization processing on the obtained received time signal through a time synchronization algorithm; and the space end demodulates the received communication signal, performs phase error compensation on the obtained frequency signal, and composites the synchronized time signal and the frequency signal after phase error compensation through a multiplexing module to complete frequency time synchronization of the communication signal.

The invention discloses a method and a device for testing embedded software of airborne equipment. The method comprises the following steps: calculating a current clock skew drift rate according to time information in a synchronization message sent by target equipment; calculating a predicted clock skew with the target device according to the current clock skew drift rate; dynamically adjusting the clock frequency according to the preset clock skew, and synchronizing with the target equipment; and executing the test case to test the to-be-tested software on the target equipment. According to the high-precision time synchronization method based on the drift adaptive synchronization algorithm, the problems of real-time verification and time synchronization in embedded software testing are solved, the requirement for high time precision of civil aircraft airborne equipment is met, and the precision and robustness of test cases are improved.

The application discloses a kind of security systems of identity fragment cross dynamic verification, it is related to network security verification technical field.System includes verification request module, fragment extraction module, dynamic combination module, session security module, verification feedback module, salted hash preprocessing module, equipment environment detection module and dynamic rule synchronization algorithm module.By extracting mobile phone number and identity card fragment and carrying out irreversible de-identification processing, cross combination is generated according to dynamic rule Verification password, combined with unique session identifier and end-side encryption realizes one-time security verification.The application does not store complete identity information, can dynamically switch verification rule, has the advantages such as anti-fraud, anti-cracking, data compliance, full-scene application, etc., and is suitable for financial transfer, e-commerce, government affairs, online car-hailing, points mall and other high-security demand scenes.

The invention discloses a file manager of an electronic whiteboard, which can access and manage files on other electronic whiteboard equipment in a cross-equipment manner and improve the file management efficiency. The file manager of the electronic whiteboard comprises an access protocol module, an interface display module, an authority management module and a data management module; the access protocol module adopts a self-defined cross-device file access protocol, and the protocol is based on a network communication principle, realizes identification and is connected to other electronic whiteboards in the same network; the interface display module is used for displaying a user interface, providing a file list and icons and supporting operations of dragging, copying and moving files; the authority management module provides an authority management function and supports users to set different access authorities for different electronic whiteboards or users; the data management module adopts a real-time synchronization algorithm and provides a file backup function; the real-time synchronization algorithm realizes real-time synchronous updating of the file between different electronic whiteboards, and the file backup function backs up the file selected by the user to a specified position.

The application provides a 10GBase-T physical layer synchronization and equalization method and device, which realizes fast capture of a PN training sequence in PN synchronization by using iteration interaction of a multi-state equalizer and a PN synchronization algorithm; meanwhile, the multi-state equalization method in the equalizer has a high multiplexing degree and an inheritance characteristic of equalization training results on hardware, which can greatly reduce hardware overhead of a synchronization and equalization module in 10GBase-T and significantly improve convergence speed of equalization training; further, with training convergence of filter coefficients in the equalizer, the quality of equalization output signals is continuously improved, and input of the equalization output results to the PN synchronization module will further improve stability of PN synchronization tracking and reduce step-out probability.

The invention relates to the technical field of data analysis, in particular to a fault signal phase synchronization method and device based on a data fusion algorithm. The method comprises the following steps: preprocessing a collected bearing operation data signal; the preprocessed data signals are fused, and reliable phase offset estimation of each operation period and position is calculated; the fused data signals are processed through waveform matching and a phase correction algorithm, phase deviation caused by driving speed and load changes is eliminated, and data signals after phase synchronization are obtained; and based on the data signals after phase synchronization, bearing fault features are extracted, and a phase consistency coefficient is calculated. According to the technical scheme, the identifiability of fault signal characteristics is improved through multi-sensor data fusion and an advanced phase synchronization algorithm, and an important technical means is provided for fault diagnosis of rotating machinery.

The application discloses a kind of time and frequency synchronization method and system of one bit quantization cell-free massive MIMO system based on positioning speed measurement, method as follows: step 1, the symbol timing offset STO and carrier frequency offset CFO are estimated using Schmidl-Cox synchronization algorithm;Step 2, according to the estimated value of STO and CFO, the distance between user UE and access point AP and the movement speed of user UE are estimated;Step 3, the distance and movement speed of step 2 are used to estimate STO and CFO again.The technical scheme of the present application has good realizability, and can obtain lower system synchronization error through test.