171 results about "Noise compensation" patented technology

The invention relates to the technical field of audio transmission systems, and provides a noise interference compensation method applied to an audio transmission system, and the method comprises the steps: firstly obtaining a noise-containing audio signal set of a target audio transmission channel, the noise-containing audio signal set comprises a plurality of noise-containing audio segments and pure audio segments corresponding to the noise-containing audio segments; then noise interference feature extraction is carried out on the noise frequency signal set to obtain a time domain noise feature and a frequency domain noise feature of each noise frequency segment, and then dynamic feature fusion is carried out on the time domain noise feature and the frequency domain noise feature based on a preset noise compensation model to generate a noise interference feature set; the method comprises the following steps: acquiring a noise interference feature set, training a noise compensation model according to a mapping relation between the noise interference feature set and a corresponding pure audio clip, generating a noise compensation parameter set, finally loading the noise compensation parameter set to a real-time processing module, and performing noise interference compensation operation on a noise-containing audio signal transmitted in real time. Therefore, the influence of noise on audio signals is effectively reduced, and the audio transmission quality is improved.

The invention relates to the technical field of medical diagnosis, in particular to a dysphagia detection and automatic scoring system based on a high-resolution acoustic sensor. Comprising a three-dimensional curved surface type acoustic sensing array module, a self-adaptive environment noise compensation module, a swallowing stage dynamic segmentation module, a multi-dimensional feature extraction engine, a swallowing abnormal mode classifier and a dynamic weight scoring model. A self-adaptive environment noise compensation module, a time-frequency domain feature extraction module and a dynamic weight scoring model are combined, the swallowing process is monitored and scored in real time, the system automatically identifies and analyzes acoustic features of an oral cavity preparation period, a pharyngeal period and an esophageal period, and through multi-dimensional feature fusion, dynamic weighting and neural network optimization, the swallowing process is monitored and scored in real time. The method has the advantages of being non-invasive, easy and convenient to operate, high in real-time performance and the like, and can be widely applied to early screening, evaluation and follow-up visit of clinical dysphagia.

The invention provides an unmanned aerial vehicle navigation positioning method and system based on a visual inertial odometer, and relates to the technical field of unmanned aerial vehicle navigation, and the method comprises the steps: synchronously obtaining image data collected by an airborne visual sensor, inertial data output by an inertial measurement unit, and a motor control instruction signal generated by a flight control system; synchronously executing noise compensation on the inertial data by combining a preset thrust-rotating speed mapping relation according to the motor control instruction signal to obtain compensated inertial data; in a preset sliding window optimization framework, solving an optimal state estimation value based on the image data, the motor control instruction signal and the compensated inertial data; according to the method, through synchronous acquisition, noise compensation, state estimation optimization and navigation control strategies, the navigation positioning precision and the anti-interference capability of the unmanned aerial vehicle in a complex environment are remarkably improved.

The invention discloses a vehicle-mounted voice identification and positioning intelligent early warning system and method, and relates to the technical field of vehicle-mounted intelligent early warning. The system comprises a sound detector module which collects an audio signal of a surrounding environment in real time, and a sound recognition module which analyzes the audio signal through a deep learning model and recognizes a sound source type. And the calibration module performs space-time calibration to ensure data synchronization and alignment of the sensors. The positioning module combines time difference of arrival (TDOA) and a sound intensity attenuation model, and optimizes sound source positioning through particle swarm optimization (PSO) and extended Kalman filter (EKF) technologies. The risk assessment module assesses the collision risk based on the sound source position, the shielding state and the object type, gives an alarm to a driver in time through the early warning module, and automatically triggers a deceleration instruction. And the self-learning module dynamically adjusts the early warning sensitivity and the noise compensation coefficient through a federated learning framework updating model. The environmental adaptability of the vehicle-mounted early warning system is improved, and the vehicle-mounted early warning system has remarkable safety improvement and wide application prospects.

The invention discloses a microwave cold noise source fusing TEC temperature control and noise temperature compensation technologies, and belongs to the technical field of microwave radiometer calibration. The device comprises a cold source module, a noise compensation module and a constant-temperature control module, wherein the cold source module generates a low-temperature noise signal through a field-effect tube and a terminal resistor; the noise compensation module detects environment temperature change in real time based on a thermistor and a Wheatstone bridge, drives a noise diode to generate a compensation signal, couples the compensation signal with a cold source noise signal after attenuation, and counteracts noise temperature deviation caused by the environment temperature. The constant temperature control module adopts a platinum resistance sensor and a PID algorithm to control a Peltier element in a closed-loop mode, and accurate adjustment (+ / -0.1 DEG C) is achieved. According to the invention, noise compensation and TEC negative feedback temperature control technologies are combined, so that the noise temperature of the system is stabilized in a range of + / -0.1 K for a long time, the measurement precision and reliability of the microwave radiometer in an outdoor complex environment are remarkably improved, and the method is suitable for scenes of remote sensing detection, unmanned aerial vehicle monitoring and the like.

The invention discloses an encryption communication method for a vehicle-mounted controller, which relates to the technical field of encryption communication, and comprises the following steps: remarkably improving the synchronization efficiency, dynamically screening relay nodes by weight, greatly reducing the key distribution flow, avoiding broadcast storm under large-scale formation, and ensuring the real-time performance of vehicle cooperative control. Attack resistance is enhanced, a chaotic timestamp is fused with multi-source noise and clock disturbance, a non-replicable dynamic identifier is generated, and replay attacks and signal tampering are effectively defended; through triple weight adjustment of hop count attenuation, signal-to-noise compensation and time delay deduction, vehicle position change and link fluctuation are automatically adapted, and the synchronization failure risk in scenes such as a tunnel is eliminated; a safety degradation mechanism is introduced, control instruction transmission is prohibited when abnormity occurs, basic communication is maintained in combination with a pre-stored key, and vehicle misoperation caused by key synchronization failure is prevented.

Some noise compensation methods involve receiving microphone signals corresponding to ambient noise from a noise source location in or near an audio environment, determining or estimating a listener position in the audio environment and estimating at least one critical distance, which is a distance from the noise source location at which directly propagated sound pressure is equal to diffuse field sound pressure. Some examples involve estimating whether the listener position is within the at least one critical distance and implementing a noise compensation method for the ambient noise based, at least in part, on an estimate of whether the listener position is within the critical distance.

The invention relates to the technical field of deep and far sea structure monitoring, and discloses an intelligent monitoring system and method for a deep and far sea floating structure based on an optical fiber sensing technology, and the system comprises a data collection and processing module which employs an optical fiber sensor to collect and align a strain signal, a vibration signal and a temperature signal of the deep and far sea floating structure, obtaining a strain distribution curve, vibration spectrum characteristics and temperature field mapping; the intelligent monitoring module is used for generating an abnormal positioning result, a damage trend model and noise compensation data; the health diagnosis module outputs a diagnosis report; and the remote communication module is used for starting real-time total transmission of the low-orbit satellite communication terminal when the risk level reaches the target level, otherwise, maintaining incremental compression transmission of the ad hoc network buoy relay unit. The problems that a traditional monitoring mode is low in efficiency and poor in real-time performance in a deep and far sea environment, conventional electronic monitoring equipment is prone to faults, and data transmission is unstable can be solved, the intelligent level and reliability of monitoring are improved, and the safety monitoring requirement is met.

The invention relates to the technical field of navigation positioning, and discloses a satellite positioning method and device based on deep learning and filter coupling driving, and a medium. Determining a coarse positioning result of the receiver based on a least square method by using an observation pseudo-range between the receiver and each satellite and a model pseudo-range between the receiver and each satellite obtained by modeling; extracting observation quality features based on a coarse positioning result; inputting the observation quality features into a noise estimation model obtained based on deep learning to obtain a measurement noise covariance matrix and a noise compensation value; determining a state vector of a filter at an initial moment based on the coarse positioning result, and updating the state vector of the filter step by step based on the measurement noise covariance matrix and the noise compensation value to obtain a state vector at a to-be-estimated moment, the state vector at the to-be-estimated moment comprising a positioning result of the receiver at the to-be-estimated moment; noise and errors in the environment can be effectively compensated, so that the influence of the noise and the errors is effectively reduced, and the accuracy of satellite positioning is improved.

The invention relates to the technical field of optical communication, and discloses a multi-dimensional and multi-phase-based 50G PON signal noise compensation method, which comprises the following steps: S1, generating a mixed signal, including superposing a multi-phase orthogonal pilot signal into a data signal time domain at a transmitting end according to a preset proportion lower than the power of a data signal; and S2, transmitting the mixed signal in a polarization multiplexing mode, wherein the polarization multiplexing adopts double-channel parallel transmission of an X polarization state and a Y polarization state. Multi-phase orthogonal pilot signals are superposed to a data signal time domain in a low-power proportion at a transmitting end, polarization multiplexing dual-channel transmission is adopted, a narrow-band filter is utilized at a receiving end to separate pilots and calculate channel damage parameters, and a finite impulse response filter is configured to perform linear equalization compensation. And the simplified Kalman filtering algorithm is combined to estimate the phase noise and correct the phase, so that collaborative suppression of the linear channel damage and the phase noise in the 50G PON signal is facilitated.

The invention discloses a moire fringe signal compensation method and system based on an MSPSO optimization VMD algorithm. The method comprises the following steps: establishing a mathematical model of moire fringe signals; parameters of a multi-target particle swarm optimization algorithm MSPSO are set and initialized; obtaining a mathematical model of the optimized moire fringe signal; mapping the position of each particle into a parameter combination of a VMD algorithm; decomposing by using a VMD algorithm to obtain a plurality of intrinsic mode function IMF components; envelope entropy corresponding to the IMF component is calculated, and the minimum envelope entropy is used as a fitness function value; the optimal position corresponding to the minimum envelope entropy is recorded, and population extreme value updating is carried out to update the individual optimal position Pbest and the population optimal position Gbest; judging whether an iteration termination condition is met or not; and outputting a calculation result, performing error compensation on the grating moire fringe signal according to actual parameters obtained by calculation, namely decomposing and reconstructing the moire fringe signal, and outputting the compensated signal. According to the invention, noise compensation is realized; and resource occupation and hardware realization difficulty are reduced.

The invention discloses a non-linear compensation circuit for a signal acquisition probe, which comprises a sampling resistor, and is characterized in that the sampling resistor and an equipotential input end arranged at one end of the sampling resistor are utilized, a secondary amplification method is utilized, and a sampling resistor R2 network is matched with differential input during primary amplification, so that a signal / noise path is separated; a dynamic ground potential compensation system is constructed before amplification input, noise is dynamically monitored and shielded, post-filtering is conducted on the noise, and meanwhile phase compensation is achieved through a filtering network; and finally, noise cancellation and main signal amplification are completed by using a next-stage amplifier. The circuit overcomes grounding noise interference caused by multiple distributed grounding points in the prior art, and meanwhile, due to the fact that dynamic potential compensation is added, high-sensitivity detection and noise compensation are achieved. The invention further provides a method based on the nonlinear compensation circuit.

The invention relates to a method and circuit for analyzing and reconstructing current type digital active EMI filtering based on a switching frequency spectrum, and the method comprises the steps: obtaining initial common-mode noise data and initial differential-mode noise data of a Buck circuit at a switching frequency point; constructing a common-mode equivalent circuit and a differential-mode equivalent circuit comprising a noise source, a compensation voltage source, a compensation capacitor, a parasitic capacitor and LISN impedance, and calculating initial compensation voltage common-mode data and initial compensation voltage differential-mode data of each frequency point to obtain initial compensation voltage data; synchronously outputting the initial compensation voltage data through a DAC (Digital-to-Analog Converter), and performing initial noise compensation; and measuring noise voltage on the LISN as noise source voltage, calculating to obtain secondary compensation voltage data, and carrying out superposition iteration on the compensation voltage data. The method is suitable for a scene with common-mode noise as a main part, can realize common-mode and differential-mode composite suppression without detection and size reduction, and continuously optimizes an EMI suppression effect through iterative updating.

The invention discloses a frequency modulated continuous wave laser radar phase noise compensation method. The frequency modulation continuous optical signal is divided into two paths: a measurement path and an auxiliary path; the frequency modulation continuous optical signal of the measurement path is divided into two paths, one path is used as a reference optical signal, the other path is used as a detection optical signal to be emitted to a target, and beat frequency is carried out on the received target reflection optical signal and the reference optical signal to obtain a beat frequency signal of the measurement path; the frequency modulation continuous optical signal of the auxiliary path passes through a Mach-Zehnder interferometer with a fixed time delay difference and then is subjected to beat frequency to obtain an auxiliary path beat frequency signal; searching and determining the frequency of the beat frequency signal of the measurement path, and extracting the phase noise in the beat frequency signal of the auxiliary path; estimating the phase noise of the measurement path; and finally compensating the phase noise. The invention also discloses a frequency modulated continuous wave laser radar phase noise compensation device. Compared with the prior art, the calculation amount of digital processing can be greatly reduced.

A quantum processor is discussed. the quantum processor having a flux compensation circuit communicatively coupled to a first qubit. The flux compensation circuit includes a quantum flux parametron (QFP) flux pump circuit with a first QFP in communication with the first qubit and a storage circuit with a second Josephson junction and a storage loop coupled in series with the QFP flux pump circuit. The communication between the QFP flux pump circuit and the storage loop is mediated by the second Josephson junction. A first control line is in communication with the first Josephson junction and a second control line is in communication with the second Josephson junction. In use. flux stored in the storage loop back acts on the first qubit.

The invention discloses a large language model training-oriented FP8 quantization noise compensation method and system, and relates to the technical field of computer large language model data noise compensation. The method comprises the following steps that: a processor quantizes original data input into a memory according to a designed FP8 format to obtain quantized data representation; and obtaining quantization noise according to the original data and quantization data representation stored in the memory, and constructing a quantization noise training model by taking the quantization noise as a random variable. And designing a noise compensation mechanism by taking the parameters of the quantization noise training model and the compensation model stored in the memory as compensation units. And the processor determines an embedding point of the noise compensation mechanism embedded large language model in a compensation unit training process according to the compensation granularity demand, so that the original data is input into the large language model embedded with the noise compensation mechanism through the processor for iterative learning, and FP8 compensation data is output. By adopting the method, the hardware calculation speed can be increased and the memory access frequency can be reduced in the big language model data processing process.

The invention discloses a maneuvering spacecraft orbit determination method for adaptive state noise compensation, and belongs to the technical field of aerospace. The implementation method comprises the following steps: establishing a general dynamical model and an angle-only observation model for unknown mutation of the random nonlinear dynamical system; predicting a system state and a covariance matrix based on the dynamic model; calculating a system measurement residual error and a covariance matrix at the tk + 1 moment, and representing the matching degree of a prediction result of the system based on the kinetic model and the maneuver-free model through an index function lambda k + 1; comparing the index function at the tk + 1 moment with a mean value of the index functions from t1 to tk, when the difference between an evaluation index and the mean value is greater than a threshold value, judging that the state of the system is abruptly changed, and performing state noise compensation on a system prediction result; and calculating orbit determination algorithm gain based on a system state noise compensation result, weighting and outputting a tk + 1 system state and a covariance estimation value based on a system prediction result # imgabs0 # noise compensation result # imgabs1 # and a measurement result zk + 1, and iteratively solving a state estimation value at each moment so as to realize high-precision orbit determination of the maneuvering spacecraft.

The invention relates to a self-adaptive CKF phase noise compensation method in a coherent light OFDM system. The method comprises the following steps of: estimating a phase noise value of each OFDM symbol at a signal receiving end through known pilot frequency information, performing first phase noise fitting by using a second-order Hermite interpolation function, performing pre-judgment and secondary symbol partitioning on a compensated signal, performing second phase noise fitting by using an updated second-order Hermite interpolation function, and performing phase noise fitting on the compensated signal. And finally, the residual phase noise is suppressed by using the characteristics that the adaptive CKF can adaptively update the process noise and reduce the estimation error. Simulation results show that the method can effectively compensate CPE and ICI phase noise, meanwhile, the tolerance of the CO-OFDM system to the laser line width is also improved, and the performance of the system is improved.

A device, system, and method for microphonic noise compensation is provided. The device comprises: a speaker; a receiver; an audio processor configured to: process audio received via the receiver; and output processed audio to the speaker; a microphonic detection engine; and a microphonic compensation engine. The microphonic detection engine configured to: search for microphonic noise in the processed audio according to one or more predetermined microphonic parameters; and when the microphonic noise is detected: output a microphonic indicator to the microphonic compensation engine to cause the microphonic compensation engine to compensate for the microphonic noise in the audio. The microphonic compensation engine configured to: receive the microphonic indicator; and responsively compensate for the microphonic noise in the audio received via the receiver, prior to processing of the audio by the audio processor.

The invention discloses a multi-frame fusion fixed image noise dynamic compensation system and method, particularly relates to the technical field of image processing, and is used for solving the problem that fusion boundary noise has artifacts due to existing independent noise compensation. The method comprises the following steps of: establishing a mapping relation between pixel-level imaging parameter difference degree and fusion weight by acquiring a multi-frame image sequence of different imaging parameters and identifying a transition region of brightness gradient dramatic change; extracting a frequency domain energy skewness feature and a chroma phase change boundary feature of the transition region, and generating a noise visibility correction factor through nonlinear fusion; dynamically constraining the compensation intensity range to realize multi-frame noise compensation collaboration; and finally, performing cooperative compensation and fusion output within the constraint range. Fusion boundary noise discontinuity is effectively eliminated, and the visual quality of high-dynamic-range imaging is remarkably improved.

The invention discloses a single-carrier frequency domain equalization CV-QKD system and method. The single-carrier frequency domain equalization CV-QKD system comprises an Alice laser, an IQ modulator, a quantum key generation module, an optical attenuator, an optical fiber channel, a Bob laser, an optical coupler, a balance detector, a quantum key demodulation module, an Alice post-processing module and a Bob post-processing module. At the Alice end, the Alice laser, the IQ modulator, the optical attenuator and the optical fiber channel are in optical fiber connection, the quantum key generation module is electrically connected with the IQ modulator, and the quantum key generation module is in data connection with the Alice post-processing module; at the Bob end, the Bob laser, the optical coupler, the balance detector and the optical fiber channel are in optical fiber connection, the quantum key demodulation module is electrically connected with the balance detector, and the quantum key demodulation module is in data connection with the Bob post-processing module. The secure transmission performance of the high-speed CV-QKD system is remarkably improved, and the multi-effect noise compensation cost of the high-speed CV-QKD system is effectively reduced.

The invention relates to an automobile engine noise active noise reduction method and system based on dynamic partition, and belongs to the field of noise control. The method comprises the steps that engine noise characteristic parameters are collected, a crankshaft inertia compensation item is obtained based on the engine noise characteristic parameters, and noise compensation frequency is obtained; generating an active cancellation sound wave based on the noise compensation frequency; generating a dynamic partition driving signal according to the active offset sound wave and executing a dynamic partition noise reduction instruction; and introducing a regulation and control mechanism, and regulating and controlling a dynamic partition driving signal based on the regulation and control mechanism. According to the method, frequency tracking under the variable rotating speed working condition is achieved, the sound field space heterogeneity is comprehensively considered, and the noise reduction performance under the complex working condition can be remarkably improved.

A power converter can include a switching bridge having two input terminals that receive an input voltage and a switch node coupled to a primary winding of a transformer; at least one rectifier device coupled between a secondary winding of the transformer and an output of the power converter; and a common mode noise compensation capacitor. A first terminal of the common mode noise compensation capacitor can be coupled to a connection between the secondary winding of the transformer and the at least one rectifier device, and a second terminal of the common mode noise compensation capacitor can be coupled to one of the two input terminals. The common mode noise compensation capacitor can be coupled to an energized or a grounded input terminal. The common mode noise compensation capacitance can be selected to be equal to the turns ratio of the transformer times the parasitic capacitance of the transformer.

Provided are a method for estimating and compensating for phase noise using a phase tracking reference signal in a wireless communication system, and an apparatus using the method.

The invention discloses an optical sensing system based on double Fabry-Perot cavities. The optical sensing system comprises a laser module, a main light path module and a reference light path module, wherein the laser module is used for generating two laser beams which respectively enter a main light path and a reference light path; the reference light path module is used for providing a light source fluctuation reference signal for noise compensation; the main light path module comprises a double Fabry-Perot cavity sensing unit, a total reflection mirror, a focusing lens, a grating spectrometer, an optical detector and a signal processing unit. A double-Fabry-Perot cavity sensing unit in the main light path module adopts a novel micro-hemisphere double-cavity interference structure, and temperature and pressure changes are tested in combination with a synchronous resolving method. According to the technical scheme provided by the invention, the synchronous high-precision measurement of the temperature and the pressure can be realized by optimizing the structural design of the cavity, deepening the coupling effect of the gas medium and the physical quantity and introducing a high-precision decoupling algorithm and a noise suppression mechanism, and the application requirements of complex and harsh scenes are met.

The invention discloses a real-time translation interaction method, system and device based on a double-sided screen device, and the method comprises the steps: translating source language content displayed on a main screen into a target language in real time through a translation server, and then displaying the target language on the main screen, an auxiliary screen or a projection screen; monitoring a control instruction based on the main screen and the auxiliary screen in real time, and synchronously displaying the control content displayed on one screen for the control object in a corresponding area of the same control object on the other screen; according to a trigger request of the voice translation touch button, a voice signal is obtained and translated in real time to obtain target language content, and the target language content is converted into voice through a TTS voice engine and played; a signal source direction is determined by using a time delay estimation algorithm, and environmental noise compensation is carried out by using an adaptive noise compensation algorithm. According to the technical scheme, flexible and convenient multi-mode translation interaction display is realized, the translation communication efficiency is remarkably improved, and the translation interaction experience in a complex scene is improved.

The invention relates to the technical field of underwater vehicle control, in particular to an underwater vehicle trajectory tracking method and system based on polynomial noise compensation. The method comprises the following steps: acquiring a theoretical trajectory, an actual trajectory and a velocity vector of an underwater vehicle; constructing a tracking constraint condition and a quadratic programming objective function; obtaining a time-varying linear equation through a Lagrange function and a KKT condition; introducing a logarithmic mapping activation function and a polynomial anti-noise compensation item to construct a continuous time DRZNN model; discretizing the model to obtain an iterative formula; solving a velocity vector sequence according to an iterative formula, and tracking the trajectory of the underwater vehicle according to the velocity vector sequence; the high-order time-varying noise is structurally counteracted through the polynomial anti-noise compensation item, the convergence direction is stabilized through the logarithm mapping activation function, the trajectory tracking error is converged to the preset precision in the complex disturbance environment, and the tracking precision and robustness of the underwater vehicle in the deep sea scene are remarkably improved.

The invention relates to the technical field of precision measurement, and discloses an environment noise compensation method and system for high-precision measurement equipment, and the method comprises the steps: obtaining environment noise output signals under the same environment noise condition through a first sensor and a second sensor, calibrating a noise transfer function under the environment noise condition according to the environment noise output signal; acquiring a target signal and a first environmental noise signal by using a first sensor, and acquiring a second environmental noise signal under the same environmental noise condition by using a second sensor; obtaining an environment noise compensation value according to the second environment noise signal and the noise transfer function, and correcting the first environment noise signal by using the environment noise compensation value; and calculating a target signal according to the corrected first environment noise signal. According to the method, the environment noise compensation value is obtained by obtaining the signals collected by the first sensor and the second sensor in real time, the noise interference is eliminated, the real-time target signal is obtained, and the measurement error is reduced to 11.77% from 15.54% of a traditional method.

A noise decibel testing method and device based on a smart wearable device, comprising: obtaining a PCM value of an audio signal of the smart wearable device and converting the PCM value into an RMS value; converting the RMS value into a voltage value, and then converting the voltage value into a sound pressure value; calculating a noise decibel of the audio signal according to the sound pressure value to obtain a first noise decibel value; obtaining a noise decibel compensation value by fitting a noise compensation curve; and compensating the first noise decibel value based on the noise decibel compensation value to obtain an actual noise decibel value tested by the smart wearable device. According to the audio signal of the smart wearable device, the first noise decibel value is obtained, the noise decibel compensation value is obtained by fitting the noise compensation curve, the first noise decibel value is compensated, and the actual noise decibel value measured by the smart wearable device is obtained, thereby solving the problem that the existing special instrument for testing noise decibel cannot be integrated into a smart watch and thus cannot directly test an external noise decibel value.

The application provides a dynamic motion trajectory extraction method based on Kalman filtering and repeated data screening, which comprises the following steps: installing IMU on a plurality of key motion joints of a dynamic living body, generating an initial trajectory data set through data collected by the IMU; setting a state space model based on the measurement data in the initial trajectory data set and Euler angles, and performing noise compensation on the initial trajectory data set through a Kalman filter; optimizing the initial trajectory data set after Kalman filtering through a repeated data screening (RDS) algorithm to obtain an optimized trajectory data set; and calculating the joint axis direction through the optimized trajectory data set, and constructing the dynamic motion trajectory of the dynamic living body according to the calculated joint axis direction and the angular velocity data after Kalman filtering. The method combines the Kalman filtering algorithm and the repeated data screening algorithm to extract the trajectory, and significantly improves the robustness and accuracy of the dynamic motion trajectory extraction of the living body.