SYSTEM, METHOD, AND STORAGE MEDIUM FOR DISTRIBUTED JOINT MANIFOLD LEARNING BASED HETEROGENEOUS SENSOR DATA FUSION

    公开(公告)号:US20220172122A1

    公开(公告)日:2022-06-02

    申请号:US17563014

    申请日:2021-12-27

    Abstract: The present disclosure provide a system, a method, and a storage medium for distributed joint manifold learning (DJML) based heterogeneous sensor data fusion. The system includes a plurality of nodes; and each node includes at least one camera; one or more sensors; at least one memory configured to store program instructions; and at least one processor, when executing the program instructions, configured to obtain heterogeneous sensor data from the one or more sensors to form a joint manifold; determine one or more optimum manifold learning algorithms by evaluating a plurality of manifold learning algorithms based on the joint manifold; compute a contribution of the node based on the one or more optimum manifold learning algorithms; update a contribution table based on the contribution of the node and contributions received from one or more neighboring nodes; and broadcast the updated contribution table to the one or more neighboring nodes.

    METHOD AND SYSTEM FOR FREE SPACE OPTICAL COMMUNICATION PERFORMANCE PREDICTION

    公开(公告)号:US20220085878A1

    公开(公告)日:2022-03-17

    申请号:US17021289

    申请日:2020-09-15

    Abstract: Various embodiments provide a method for free space optical communication performance prediction method. The method includes: in a training stage, collecting a large number of data representing FSOC performance from external data sources and through simulation in five feature categories; dividing the collected data into training datasets and testing datasets to train a prediction model based on a deep neural network (DNN); evaluating a prediction error by a loss function and adjusting weights and biases of hidden layers of the DNN to minimize the prediction error; repeating training the prediction model until the prediction error is smaller than or equal to a pre-set threshold; in an application stage, receiving parameters entered by a user for an application scenario; retrieving and preparing real-time data from the external data sources for the application scenario; and generating near real-time FSOC performance prediction results based on the trained prediction model.

    METHODS AND SYSTEMS FOR TIME SYNCHRONIZATION AMONG UNMANNED AERIAL SYSTEMS

    公开(公告)号:US20230232350A1

    公开(公告)日:2023-07-20

    申请号:US17579348

    申请日:2022-01-19

    CPC classification number: H04W56/0015 B64C39/024 H04B7/026

    Abstract: A system includes at least one slave node and one master node that are for a method of time synchronization between the at least one slave node and the master node. The method includes: sending, by one slave node, a first message to the master node to launch a time synchronization between the slave node and the master node; upon receiving the first message, adding, by the master node, a receiving time on a master clock to the first message to form a second message; sending, by the master node, the second message back to the slave node; adding, by the slave node, a receiving time on the slave clock to the second message to form an updated message; and performing, by the slave node, a time adjustment to the slave clock based on the updated message, thereby synchronizing time between the slave node and the master node.

    METHOD AND SYSTEM FOR WAVE PROPAGATION PREDICTION

    公开(公告)号:US20210134046A1

    公开(公告)日:2021-05-06

    申请号:US16674929

    申请日:2019-11-05

    Abstract: The present disclosure provides a method for wave propagation prediction based on a 3D ray tracing engine and machine-learning based dominant ray selection. The method includes receiving, integrating, and processing input data. Integrating and processing the input data includes dividing a cone of the original millimeter wave (mmWave) into a plurality of sub cones; determining a contribution weight of rays coming from each sub cone to the received signal strength (RSS) at a receiving end of interest; and determining rays coming from one or more sub cones that have a total contribution weight to the RSS larger than a preset threshold value as dominant rays using a neural network obtained through a machine learning approach. The method further includes performing ray tracing based on the input data and the dominant rays to predict wave propagation.

    METHODS AND SYSTEMS FOR TESTING SATELLITE SIGNAL RECEIVER ANTENNA

    公开(公告)号:US20190219706A1

    公开(公告)日:2019-07-18

    申请号:US15874526

    申请日:2018-01-18

    Abstract: A method for testing satellite signal receiver antenna is provided. The method includes: determining a satellite constellation state indicating status of a plurality of satellites in a satellite constellation; calculating, based on the determined satellite constellation state, initial positions of a plurality of satellite antennas that are used for emulating the satellite constellation; moving the plurality of satellite antennas to the initial positions of the plurality of satellite antennas; calibrating a phase delay of each of the plurality of satellite antennas; broadcasting, by the plurality of satellite antennas, satellite signals to test a satellite signal receiver antenna; determining a movement plan for the plurality of satellite antennas based on the satellite constellation state; and moving the plurality of satellite antennas based on the movement plan to emulate a propagation of the satellite constellation.

    SYSTEM, METHOD, AND STORAGE MEDIUM FOR DESIGN AND USE REFERENCE EMITTERS TO ENHANCE PASSIVE SINGLE SATELLITE GEOLOCATION OF EMI SOURCES

    公开(公告)号:US20240255604A1

    公开(公告)日:2024-08-01

    申请号:US18161014

    申请日:2023-01-27

    CPC classification number: G01S5/0246 G01S5/0294

    Abstract: The present disclosure provides a cross-correlation based method, a system and a storage medium for blind electromagnetic interference Doppler estimation from a single satellite geolocation system. The method includes at a first time, calculating a power spectral density (PSD) of a received signal; smoothing the PSD of the received signal using moving window average, and saving the smoothed PSD of the received signal as PSD0; at a next time, calculating a PSD of another received signal; smoothing the PSD of the another received signal using moving window average, and saving the smoothed PSD of the another received signal as PSD1; performing cross correlation between PSD0 and PSD1 to obtain a cross-correlation result; determining a peak position from the cross-correlation result; and obtaining a Doppler estimation based on a peak position shift between the peak position and a reference position.

    METHOD, DEVICE, AND STORAGE MEDIUM FOR HYBRID AUTOMATIC GAIN CONTROL IN COMMUNICATION SYSTEM

    公开(公告)号:US20220029594A1

    公开(公告)日:2022-01-27

    申请号:US17382838

    申请日:2021-07-22

    Abstract: Embodiments of the present disclosure provide a method, a device, and a storage medium for hybrid automatic gain control in a communication system. The method includes amplifying an input signal to generate an amplified signal which is converted into a plurality of output signals; obtaining a moving average amplitude of a plurality of output signals of a current input signal; and calculating a signal amplitude difference according to the moving average amplitude and a desired output signal amplitude level; calculating a signal amplitude ratio according to a plurality of output signals of two previous output signal blocks and AGC gains corresponding to the plurality of output signals of the two previous output signal blocks; obtaining a step size according to the signal amplitude difference and the signal amplitude ratio; and calculating an AGC gain of the current input signal according to the step size and a corresponding previous AGC gain.

    METHOD, DEVICE, AND STORAGE MEDIUM FOR DECENTRALIZED OPTIMAL CONTROL FOR LARGE-SCALE MULTIAGENT SYSTEMS

    公开(公告)号:US20240273341A1

    公开(公告)日:2024-08-15

    申请号:US18163860

    申请日:2023-02-02

    CPC classification number: G06N3/045 G06N3/08

    Abstract: The present disclosure provides a method, a device, and a storage medium for decentralized optimal control for a large-scale multi-agent system. The method includes initializing errors to obtain an initialized error of each of an actor NN, a critic NN and a mass NN; initializing error thresholds to obtain an initialized error threshold of each of the actor NN, the critic NN and the mass NN; and if the initialized error of each of the actor NN, the critic NN and the mass NN is greater than or equal to a corresponding initialized error threshold, calculating weights of each of the actor NN, the critic NN and the mass NN, and updating the actor NN, the critic NN, and the mass NN; and calculating errors of each of the actor NN, the critic NN and the mass NN, and updating the actor NN, the critic NN, and the mass NN.

    METHOD, DEVICE, AND STORAGE MEDIUM FOR PASSIVE SINGLE SATELLITE GEOLOCATION OF GROUND-BASED ELECTROMAGNETIC INTERFERENCE SOURCES

    公开(公告)号:US20240256734A1

    公开(公告)日:2024-08-01

    申请号:US18160717

    申请日:2023-01-27

    CPC classification number: G06F30/20 G06F2111/10

    Abstract: The present disclosure provides a method for decentralized optimal control for passive SSG of ground-based EMI sources. The method includes simulating a scenario based on an EMI source and a satellite specified by a TLE file; and calculating positions, velocities and accelerations of the satellite at different time indexes of the simulated scenario; calculating Doppler shifts and Doppler rates according to the positions, the velocities and the accelerations of the satellite at the different time indexes; and implementing a constrained unscented Kalman filter (cUKF) based on the Doppler shifts and the Doppler rates to obtain an updated state; and calculating a recursive constrained posterior Cramér-Rao bound (rcPCRB); and fine tuning the cUKF using the calculated rcPCRB to obtain an updated cUKF.

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