公开(公告)号：US20220172122A1

公开(公告)日：2022-06-02

申请号：US17563014

申请日：2021-12-27

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Dan SHEN ,  Peter ZULCH ,  Marcello DISASIO ,  Erik BLASCH ,  Genshe CHEN

IPC: G06N20/00 ,  H04N5/33 ,  G06K9/62

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.

公开(公告)号：US20220092420A1

公开(公告)日：2022-03-24

申请号：US17480999

申请日：2021-09-21

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Jingyang LU ,  Erik BLASCH ,  Roman ILIN ,  Hua-mei CHEN ,  Dan SHEN ,  Nichole SULLIVAN ,  Genshe CHEN

IPC: G06N3/08 ,  G06K9/62 ,  G06K9/00

Abstract: Embodiments of the present disclosure provide a method, a device, and a storage medium for domain adaptation for efficient learning fusion (DAELF). The method includes acquiring data from a plurality of data sources of a plurality of sensors; for each of the plurality of sensors, training an auxiliary classifier generative adversarial network (AC-GAN) by a hardware processor with data from each data source of the plurality of data sources, thereby obtaining a trained feature extraction network and a trained label prediction network for each data source; forming a decision-level fusion network or a feature-level fusion network; and training the decision-level fusion network or the feature-level fusion network with a source-only mode or a generate to adapt (GTA) mode; and applying the trained decision-level fusion network or the trained feature-level fusion network to detect a target of interest.

公开(公告)号：US20220085878A1

公开(公告)日：2022-03-17

申请号：US17021289

申请日：2020-09-15

Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.

Inventor： Lun LI ,  Yi LI ,  Sixiao WEI ,  Dan SHEN ,  Genshe CHEN

IPC: H04B10/077 ,  G06N3/04 ,  H04B10/11 ,  G06K9/62 ,  G06N3/08

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.

公开(公告)号：US20230232350A1

公开(公告)日：2023-07-20

申请号：US17579348

申请日：2022-01-19

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Dan SHEN ,  Genshe CHEN ,  Khanh PHAM ,  Erik BLASCH

IPC: H04W56/00 ,  H04B7/026 ,  B64C39/02

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.

公开(公告)号：US20210134046A1

公开(公告)日：2021-05-06

申请号：US16674929

申请日：2019-11-05

Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.

Inventor： Jingyang LU ,  Yiran XU ,  Dan SHEN ,  Nichole SULLIVAN ,  Genshe CHEN ,  Khanh PHAM ,  Erik BLASCH

IPC: G06T15/06 ,  G06N20/00 ,  G06N5/04

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.

公开(公告)号：US20190219706A1

公开(公告)日：2019-07-18

申请号：US15874526

申请日：2018-01-18

Applicant: Intelligent Fusion Technology, Inc

Inventor： Zhonghai WANG ,  Bin JIA ,  Xingping LIN ,  Tao WANG ,  Xingyu XIANG ,  Genshe CHEN ,  Dan SHEN ,  Khanh PHAM ,  Erik BLASCH

IPC: G01S19/23

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.

公开(公告)号：US20240273341A1

公开(公告)日：2024-08-15

申请号：US18163860

申请日：2023-02-02

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Shawon DEY ,  Dan SHEN ,  Zola DONOVAN ,  Genshe CHEN ,  Hao XU ,  Erik BLASCH

IPC: G06N3/045 ,  G06N3/08

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.

公开(公告)号：US20240256734A1

公开(公告)日：2024-08-01

申请号：US18160717

申请日：2023-01-27

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Dan SHEN ,  Genshe CHEN ,  Khanh PHAM ,  Erik BLASCH

IPC: G06F30/20

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.

公开(公告)号：US20210175962A1

公开(公告)日：2021-06-10

申请号：US16707927

申请日：2019-12-09

Applicant: INTELLIGENT FUSION TECHNOLOGY, INC.

Inventor： Lun LI ,  Jingyang LU ,  John NGUYEN ,  Dan SHEN ,  Khanh PHAM ,  Genshe CHEN

IPC: H04B7/185 ,  G06N20/00 ,  H03F3/189

Abstract: The present disclosure provides a high power amplifier (HPA) linearization method, applied to a ground hub which includes a predistorter and a PD controller. The ground hub is arranged in a satellite communication system together with a transmitter and a satellite transponder, and the satellite transponder includes an HPA. The HPA linearization method includes determining an initial correction signal based on a physical model with a plurality of PD parameters to compensate AM-AM and AM-PM characteristics of the HPA; receiving a signal from the satellite transponder; determining a reward function for an action taken by the PD controller; examining an action-value function for actions taken in a preset past period; taking an action to adjust the plurality of PD parameters for the PD to generate an updated correction signal; sending the update correction signal to the transmitter to compensate the AM-AM and AM-PM characteristics of the HPA.

公开(公告)号：US20250093462A1

公开(公告)日：2025-03-20

申请号：US18467794

申请日：2023-09-15

Applicant: Intelligent Fusion Technology, Inc.

Inventor： Yajie BAO ,  Peng CHENG ,  Khanh PHAM ,  Erik BLASCH ,  Dan SHEN ,  Xin TIAN ,  Genshe CHEN

IPC: G01S7/34 ,  G01S7/36

Abstract: The present disclosure provides a method for model predictive automatic gain control under additive white Gaussian noise jamming. The method includes predicting a plurality of consecutive signal values by an autoregressive integrated moving average model; calculating a signal average value of the plurality of consecutive signal values; calculating a gain control value using the signal average value of the plurality of consecutive signal values; if the gain control value is greater than a maximum control capability of a AGC processor, using the gain control value as a desired gain control value; or if the gain control value is equal to or less than the maximum control capability, using a minimum difference between an estimated amplitude and each of reference amplitudes in the LUT as the desired gain control value; and calculating a new AGC gain for a current time step according to the desired gain control value.