Patents by Inventor Erik Blasch

Erik Blasch has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12283932
    Abstract: The present disclosure provides a method, a system and a storage medium of PID-based automatic gain control for a satellite transponder system. The method includes receiving a sequence of sample signals; determining two different block sizes where a block size of a first block is greater than a block size of a second block; using the block size of the first block to compute a first signal-amplitude-ratio (SAR)-based gain value and using the block size of the second block to compute a second signal-amplitude-ratio (SAR)-based gain value by the AGC processor through the sequence of sample signals; calculating a to-be-applied gain control value of an m-th transmitted symbol at a n-th time step; and calculating a new AGC gain at the n-th time step according to the to-be-applied gain control value at the n-th time step and a corresponding AGC gain at the (n?1)-th time step.
    Type: Grant
    Filed: September 15, 2023
    Date of Patent: April 22, 2025
    Assignee: Intelligent Fusion Technology, Inc.
    Inventors: Yajie Bao, Peng Cheng, Khanh Pham, Erik Blasch, Dan Shen, Xin Tian, Genshe Chen
  • Publication number: 20250096761
    Abstract: The present disclosure provides a method, a system and a storage medium of PID-based automatic gain control for a satellite transponder system. The method includes receiving a sequence of sample signals; determining two different block sizes where a block size of a first block is greater than a block size of a second block; using the block size of the first block to compute a first signal-amplitude-ratio (SAR)-based gain value and using the block size of the second block to compute a second signal-amplitude-ratio (SAR)-based gain value by the AGC processor through the sequence of sample signals; calculating a to-be-applied gain control value of an m-th transmitted symbol at a n-th time step; and calculating a new AGC gain at the n-th time step according to the to-be-applied gain control value at the n-th time step and a corresponding AGC gain at the (n?1)-th time step.
    Type: Application
    Filed: September 15, 2023
    Publication date: March 20, 2025
    Inventors: Yajie BAO, Peng CHENG, Khanh PHAM, Erik BLASCH, Dan SHEN, Xin TIAN, Genshe CHEN
  • Publication number: 20250093462
    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.
    Type: Application
    Filed: September 15, 2023
    Publication date: March 20, 2025
    Inventors: Yajie BAO, Peng CHENG, Khanh PHAM, Erik BLASCH, Dan SHEN, Xin TIAN, Genshe CHEN
  • Publication number: 20250076460
    Abstract: A radar system includes a signal generator for generating an LFMCW signal, an intermediate frequency (IF) signal generator for generating an IF signal, an upper converter for increasing the frequency of the LFMCW signal by the IF to generate a radar signal, a mixer for decreasing the frequency of a received radar signal to generate an output signal, an IQ demodulator for decreasing the frequency of the output signal to generate a baseband signal, an analog-to-digital converter for transforming the baseband signal into a digital signal, and a micro controller for processing the digital signal.
    Type: Application
    Filed: September 6, 2023
    Publication date: March 6, 2025
    Inventors: Genshe CHEN, Xing Ping LIN, Bora SUL, Erik BLASCH, Khanh PHAM, Ping ZHUANG, Yunqi ZHANG, Hua-Mei CHEN
  • Publication number: 20250028337
    Abstract: The present disclosure provides a method, a system and a storage medium of resilient human-on-the-loop range-only cooperative positioning of a plurality of unmanned aerial vehicles (UAVs). The method includes computing an initial exploitability using an initial distribution and an initial policy; performing a forward updating of a distribution of a portion of the plurality of UAVs, and performing a backward updating of a Q function of each UAV of the plurality of UAVs; for each time step, calculating a dual variable at an (i+1)-th iteration and calculating a policy at an (i+1)-th iteration; computing a ratio of an exploitability at the (i+1)-th iteration over the initial exploitability; and if the ratio is less than or equal to a pre-defined tolerance value, maintaining a policy at the i-th iteration; and if the ratio is greater than the pre-defined tolerance value, using the policy at the (i+1)-th iteration.
    Type: Application
    Filed: October 25, 2023
    Publication date: January 23, 2025
    Inventors: Dan SHEN, Genshe CHEN, Khanh PHAM, Erik BLASCH, Yajie BAO
  • Publication number: 20250020597
    Abstract: A system and method for prior and post-image analysis for damage level assessments are provided. An Image-based Prior and Posterior Conditional Probability Learning (IP2CL) system and method is provided for Human Assistance and Disaster Response (HADR) and damage assessments (DA) situational assessment and awareness (SAA). Equipped with the IP2CL, matching prior and posterior disaster/action images are effectively encoded into one image which is then ingested into deep learning (DL) approaches to determine the damage levels. Two scenarios for practical uses are provided: pixel-wise semantic segmentation and patch-based global damage classification.
    Type: Application
    Filed: July 10, 2024
    Publication date: January 16, 2025
    Inventors: Jie Wei, Weicong FENG, Alexander AVED, Erik BLASCH, Erika G. ARDILES CRUZ, Paul Thomas Schrader
  • Patent number: 12199851
    Abstract: Embodiments of the present disclosure provide a method of a burst-based route discovery process. The method includes sending a probing interest packet to an NDN network; when one NDN forwarder receives the probing interest packet from a corresponding face, sending the probing interest packet to neighboring NDN forwarders; after anyone NDN forwarder receives the probing interest packet, sending back a burst of K probing data packets; as the burst of K probing data packets being received by an NDN forwarder, evaluating gaps between arrival times of the burst of K probing data packets; determining an available network throughput level of a face of the NDN forwarder; and if determined available network throughput level indicates a predefined increase in network throughput, setting the face of the NDN forwarder as a face for forwarding interest packets; and sending the burst of K probing data packets to neighboring NDN forwarders.
    Type: Grant
    Filed: May 15, 2023
    Date of Patent: January 14, 2025
    Assignee: Intelligent Fusion Technology, Inc.
    Inventors: Xin Tian, Genshe Chen, Khanh Pham, Erik Blasch
  • Publication number: 20240402298
    Abstract: A method for recognizing a low-probability-of-interception (LPI) radar signal waveform includes: obtaining, by a radar signal receiver, an LPI radar signal s(t), s(t) varying with time t; extracting, by a radar signal processor, an adaptive feature and a pre-defined analytical feature from the LPI radar signal s(t); combining, by the radar signal processor, the adaptive feature with the pre-defined analytical feature to generate a constructed adaptive feature; and applying, by the radar signal processor, a convolutional neural network (CNN) model to classify the constructed adaptive feature to recognize the LPI radar signal waveform.
    Type: Application
    Filed: July 22, 2021
    Publication date: December 5, 2024
    Inventors: Hui HUANG, Yi LI, Erik BLASCH, Khanh PHAM, Jiaoyue LIU, Nichole SULLIVAN, Dan SHEN, Genshe CHEN
  • Publication number: 20240406269
    Abstract: The present disclosure provides a system of distributed edge computing for cooperative augmented reality with mobile sensing capability. The system includes a plurality of nodes configured to generate a plurality of data streams; and a plurality of distributed edge servers configured to process one or more tasks using the plurality of data streams. An Apache Storm distributed stream processing platform is installed and properly configured on each distributed edge server; the plurality of distributed edge servers includes one or more service modules installed on each distributed edge server and configured to process the one or more tasks; and the plurality of distributed edge servers includes a master distributed edge server and a plurality of slave distributed edge servers; and a scheduler is installed on the master distributed edge server and configured to distribute the one or more tasks to the plurality of distributed edge servers.
    Type: Application
    Filed: August 15, 2024
    Publication date: December 5, 2024
    Inventors: Qi ZHAO, Genshe CHEN, Khanh PHAM, Erik BLASCH
  • Publication number: 20240403117
    Abstract: The present disclosure provides a machine-learning-based real-time task scheduling method. The method includes, for a worker node, executing a training task distributed by a master node; collecting latency time lengths of each machine learning model under different CPU utilization and memory usage; calculating a mean squared error of the latency time lengths of each machine learning model; comparing machine learning models according to mean squared errors of latency time lengths to select a desirable machine learning model installing on the worker node; providing an API for the worker node; when receiving a task by the master node, requesting the worker node to predict a latency time length; and returning the predicted latency time length to the master node; and after the master node collects predicted latency time lengths of worker nodes, assigning the task to a corresponding worker node with a lowest predicted latency time length.
    Type: Application
    Filed: August 15, 2024
    Publication date: December 5, 2024
    Inventors: Qi ZHAO, Genshe CHEN, Khanh PHAM, Erik BLASCH
  • Patent number: 12148194
    Abstract: Embodiments of the present disclosure provide a method, a device, and a storage medium for targeted adversarial discriminative domain adaptation (T-ADDA). The method includes pre-training a source model including a source feature encoder and a source classifier, adapting a target feature encoder, and generating a target model by concatenating the adapted target feature encoder with the pre-trained source classifier.
    Type: Grant
    Filed: September 14, 2021
    Date of Patent: November 19, 2024
    Assignee: Intelligent Fusion Technology, Inc.
    Inventors: Hua-mei Chen, Ashley Diehl, Erik Blasch, Genshe Chen
  • Publication number: 20240305551
    Abstract: Embodiments of the present disclosure provide a method of a burst-based route discovery process. The method includes sending a probing interest packet to an NDN network; when one NDN forwarder receives the probing interest packet from a corresponding face, sending the probing interest packet to neighboring NDN forwarders; after anyone NDN forwarder receives the probing interest packet, sending back a burst of K probing data packets; as the burst of K probing data packets being received by an NDN forwarder, evaluating gaps between arrival times of the burst of K probing data packets; determining an available network throughput level of a face of the NDN forwarder; and if determined available network throughput level indicates a predefined increase in network throughput, setting the face of the NDN forwarder as a face for forwarding interest packets; and sending the burst of K probing data packets to neighboring NDN forwarders.
    Type: Application
    Filed: May 15, 2023
    Publication date: September 12, 2024
    Inventors: Xin TIAN, Genshe CHEN, Khanh PHAM, Erik BLASCH
  • Publication number: 20240273341
    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.
    Type: Application
    Filed: February 2, 2023
    Publication date: August 15, 2024
    Inventors: Shawon DEY, Dan SHEN, Zola DONOVAN, Genshe CHEN, Hao XU, Erik BLASCH
  • Publication number: 20240256734
    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.
    Type: Application
    Filed: January 27, 2023
    Publication date: August 1, 2024
    Inventors: Dan SHEN, Genshe CHEN, Khanh PHAM, Erik BLASCH
  • Publication number: 20240185555
    Abstract: Embodiments of the present disclosure provide a method, a device, and a storage medium for targeted adversarial discriminative domain adaptation (T-ADDA). The method includes pre-training a source model including a source feature encoder and a source classifier, adapting a target feature encoder, and generating a target model by concatenating the adapted target feature encoder with the pre-trained source classifier.
    Type: Application
    Filed: September 14, 2021
    Publication date: June 6, 2024
    Inventors: Hua-mei CHEN, Ashley DIEHL, Erik BLASCH, Genshe CHEN
  • Patent number: 11864140
    Abstract: A system and method are provided for enhanced multi-way time transfer for time synchronization between at least one slave node and one master node. A slave node sends 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, the master node adds a receiving time on a master clock to the first message to form a second message. The master node sends the second message back to the slave node and the slave node adds a receiving time on the slave clock to the second message to form an updated message. The slave node performs a time adjustment to the slave clock based on the updated message, thereby synchronizing time between the slave node and the master node.
    Type: Grant
    Filed: January 19, 2022
    Date of Patent: January 2, 2024
    Assignee: INTELLIGENT FUSION TECHNOLOGY, INC.
    Inventors: Dan Shen, Genshe Chen, Khanh Pham, Erik Blasch
  • Publication number: 20230412472
    Abstract: A method of generating a deep neural network (DNN) may comprise receiving one or more application-level requirements associated with network communications, translating the one or more application-level requirements into one or more technical constraints, and providing the one or more technical constraints to a control loop that generates a certified DNN architecture based on the technical constraints. The control loop may further comprise a DNN search engine and a hardware synthesis engine. The method may comprise selecting, using the DNN search engine, a candidate DNN architecture based on the technical constraints, and generating, using the hardware synthesis engine, a hardware architecture corresponding to the selected candidate DNN architecture.
    Type: Application
    Filed: June 21, 2023
    Publication date: December 21, 2023
    Applicant: Northestern University
    Inventors: Francesco Restuccia, Erik Blasch, Jonathan Ashdown, Kurt Turck
  • Patent number: 11770160
    Abstract: A hidden chamber detector includes a linear frequency modulated continuous wave (LFMCW) radar, a synthetic aperture radar (SAR) imaging processor, and a time division multiple access (TDMA) multiple input multiple output (MIMO) antenna array, including a plurality of transmitting and receiving (Tx-Rx) antenna pairs. A Tx-Rx antenna pair is selected, in a time division manner, as a Tx antenna and an Rx antenna for the LFMCW radar. The LFMCW radar is configured to transmit an illumination signal, receive an echo signal, convert the echo signal to a baseband signal, collect baseband samples, and send the collected samples to the SAR imaging processor. The SAR imaging processor is configured to receive the collected samples, collect structure/configuration of the antenna array and scanning information, and form an SAR image based on the collected samples, the structure/configuration of the antenna array, and the scanning information.
    Type: Grant
    Filed: March 9, 2020
    Date of Patent: September 26, 2023
    Assignee: INTELLIGENT FUSION TECHNOLOGY, INC.
    Inventors: Xingping Lin, Genshe Chen, Khanh Pham, Erik Blasch, Zhonghai Wang
  • Patent number: 11758272
    Abstract: An apparatus includes a camera for capturing an image at a first moment; a range finder for measuring a distance to an object at a center of the image; a rotatable mounting platform, fixedly hosting the camera and the range finder; and a controller. The controller is configured to receive the captured image and the measured distance; determine whether a target of interest (TOI) appears in the image; in response to determining a TOI appearing in the image, determine whether the TOI appears at the center of the image; calculate position parameters of the rotatable mounting platform for centering the TOI in an image to be captured at a second moment, separated from the first moment by a pre-determined time interval; control the rotatable mounting platform to rotate according to the calculated position parameters; and calculate and store the position parameters of the TOI with respect to the apparatus.
    Type: Grant
    Filed: June 2, 2020
    Date of Patent: September 12, 2023
    Assignee: INTELLIGENT FUSION TECHNOLOGY, INC.
    Inventors: Xingping Lin, Genshe Chen, Khanh Pham, Erik Blasch, Zhonghai Wang
  • Publication number: 20230232350
    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.
    Type: Application
    Filed: January 19, 2022
    Publication date: July 20, 2023
    Inventors: Dan SHEN, Genshe CHEN, Khanh PHAM, Erik BLASCH