Guangdong University of Technology

Russian Academy of Engineering

Kan Xie

Shengli Xie

Victor Fedorovich Kuzin

Haochuan Zhang

Zhenni Li

Kungan Zeng

Yanzhou Zhou

Xiaobo Gu

Guoxu Zhou

Jia Chen

Xin Li

Mingwei Wang

Hailun Tan

Qiming Chen

Junjie Yang

Zuyuan Yang

Wenfang Bai

Qianming Wang

Qingsong Yu

Jianhao Tang

Rong Yuan

Ci Chen

Bo Li

The present disclosure provides a satellite multipath signal identification method based on temporality and spatial interaction. The method includes: acquiring satellite data, and dividing the satellite data into a time series dataset and a multi-satellite input dataset; building a multipath signal identification model, and inputting the time series dataset and the multi-satellite input dataset into the multipath signal identification model, where the multipath signal identification model includes a long short-term memory (LSTM) network, a transformer block, and a fully connected network; performing, by the LSTM network, feature extraction on the time series dataset to acquire a time series feature; performing, by the transformer block, feature extraction on the multi-satellite input dataset to acquire an environmental characterization; and fusing, by the fully connected network, the time series feature and the environmental characterization to acquire a multipath signal identification result.

Satellite multipath signal identification method based on temporality and spatial interaction

Disclosed is a BeiDou satellite ephemeris prediction method and system based on a water-wave parallel network. The method includes: receiving broadcast ephemeris data; calculating according to the broadcast ephemeris data to obtain a sequence of extrapolation errors and historical extrapolated states; and inputting the sequence of extrapolation errors and the historical extrapolated states into a pre-trained prediction model to output an error prediction result. The system includes: a data receiving module, a dynamical calculation module, an error prediction module and a correction module. The present disclosure allows for accurate ephemeris prediction at a lower computational cost, and can be widely applied in the field of trajectory prediction.

Beidou satellite ephemeris prediction method and system based on water-wave parallel network

The present application provides a method for determining the validity of an electromyographic (EMG) signal, an apparatus, a device and a storage medium. The method includes: collecting video data including squatting and foot-padding by dynamic muscle stimulation of a leg, and collecting an EMG signal on a surface of the leg while squatting and foot-padding; performing human body recognition on each frame of images of the video data, and acquiring normalized coordinates of human body key points in each frame of images; converting the normalized coordinates of the human body key points in each frame of images into pixel coordinates to obtain the pixel coordinates of the human body key points in each frame of images; and correcting the pixel coordinates of the human body key points in each frame of images according to shooting angles.

Method for determining validity of EMG signal, apparatus, device and storage medium

Disclosed is a high-precision BeiDou satellite positioning method and system for a complex urban environment. The method includes the following steps: acquiring measurement data; solving the measurement data based on Kalman filtering before predicting to obtain an initial positioning result; performing graph-based data modeling based on the measurement data to obtain a sky satellite graph; and performing feature extraction on the sky satellite graph based on a Transformer model with a graph-structure perception module, and outputting a position correction value. By using the present disclosure, the positioning accuracy and generalization performance of a positioning model in complex scenarios can be improved. The present disclosure is widely applicable in the field of satellite positioning.

High-precision beidou satellite positioning method and system for complex urban environment

Disclosed is a suppression method for a multipath signal of an image mode based on correlation peaks of a satellite baseband signal, including the steps of: constructing a real-world direct-multipath two-dimensional color image mode data set; and building a multipath suppression model of a deep learning network based on a long-short term memory (LSTM) and a self-attention mechanism module, and training the model. In the present disclosure, a satellite signal can be quickly captured without losing the sensitivity of the captured signal, and a Beidou satellite baseband signal can be captured from a signal recorded in the real world, which enables the model to learn complex signal patterns, improving the accuracy and robustness of multipath signal suppression in urban complex scenes.

Suppression method for multipath signal of image mode based on correlation peaks of satellite baseband signal

The present disclosure discloses a Beidou signal tracking system with a nonlinear phase-locked loop. A nonlinear element and a low-pass filter are added behind a loop filter to adapt to an output from control of the loop filter, and then to control a phase of an output signal. An in-phase branch pre-filtering link is added before the loop filter to smoothly processing an input signal, and a loop filter of a third-order phase-locked loop assisted by a second-order frequency-locked loop is selected to ensure basic performance index of an algorithm. The in-phase branch pre-filtering link controls signal change of an in-phase branch signal within a reasonable range. The nonlinear element and the low-pass filter behind the loop filter, after proper selection of parameters, can make the phase-locked loop quickly lock within the range where the phase-locked loop could not be locked originally.

Beidou signal tracking system with nonlinear phase-locked loop

Provided is a BeiDou navigation satellite B1C signal capturing method, including: mixing a digital intermediate frequency signal with a local intermediate frequency carrier signal to obtain a baseband signal; obtaining a local BOC-like signal on a data channel and a local BOC-like signal on a pilot channel; processing the local BOC-like signal on the data channel and the local BOC-like signal on the pilot channel to obtain a cross-correlation result of the data channel and a cross-correlation result of the pilot channel; performing a linear operation on the cross-correlation result of each of the two channels through a pseudo-correlation function generator to eliminate a secondary peak in the cross-correlation result of each of the two channels, and obtain an optimized cross-correlation result of each of the two channels; and capturing a satellite signal based on the optimized cross-correlation result of each of the two channels.

BeiDou navigation satellite B1C signal capturing method, and related apparatus

Provided is an optical interference light source device of a current-temperature controlled semiconductor laser, including a heat dissipation plate, a ring-shaped semiconductor refrigerating sheet, a semiconductor laser, a PCB board, a thermal sensor and a fixed plate. The first circular window copper area of the PCB is in contact with the second circular copper area through a via. A lower end of a housing of the semiconductor laser is connected to the first circular windowed copper area through a thermally conductive silicone grease. The ring-shaped semiconductor refrigerating sheet is connected to the first circular window copper area through a thermally conductive silicone grease connected to the heat dissipation plate. The thermal sensor is configured to detect a temperature of the first circular windowed copper area. The present disclosure has beneficial effects of simple structures, good thermal conductivities, high temperature control precisions, and stable output wavelengths of the laser.

Optical interference light source device of current-temperature controlled semiconductor laser and measurement system including the same

Provided is a device for measuring a lens three-dimensional profile based on laser wavenumber scanning, including: a semiconductor laser for emitting coherent light; a beam splitter for dividing the coherent light into two parts; an optical wedge; a CCD camera for capturing an interference image; a computer for processing image information; a laser controller for adjusting an operating temperature and an operating current of the semiconductor laser; and a bilateral telecentric lens. The coherent light is reflected by the optical wedge and then reaches the bilateral telecentric lens through the beam splitter, to form a first reflected light path. The coherent light is reflected by the measured lens, and then reaches the bilateral telecentric lens through the beam splitter, to form a second reflected light path. The first reflected light path and the second reflected light path form an interference image after passing through the bilateral telecentric lens.

Device and method for measuring lens contour based on laser wave number scanning

The present disclosure discloses a dual-channel optical three-dimensional interference method based on underdetermined blind source separation, which blindly separates out, through interference data collected by a CCD camera, interference signals between surfaces of a slide under test, to solve interference signal parameters, including an interference signal amplitude-frequency and an interference signal phase-frequency. Based on a dual-channel optical three-dimensional Michelson-type interference experiment, estimation of a mixed matrix is obtained by a K-means clustering algorithm, and recovery of a source signal is achieved by a L1 norm shortest path method. It is finally achieved that laser wavenumber scanning can accurately and blindly separate out the interference signals of the four surfaces based on light intensity values collected by the CCD camera, to achieve the blind separation of the interference signals of the four surfaces.

Growing community of inventors

Guangzhou, China

Kan Xie