Patents by Inventor Valeri Kontorovich Mazover

Valeri Kontorovich Mazover 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).

  • Publication number: 20240080050
    Abstract: Effective radio frequency interference (RFI) mitigation techniques are disclosed for use in wireless communication devices, among others. An RFI mitigation circuit may include a selector circuit to select between a cleaned signal and a clipped signal, and provide the selected signal as an output signal. The RFI mitigation circuit may also include a classifier circuit to generate a control input indication to the selector circuit to have the cleaned signal selected as the output signal based at least on a front-end circuit signal indicating that the front-end circuit is operating linearly and also indicating that the front-end circuit signal includes an interference signal. The classifier circuit may also generate the control input indication to have the clipped signal selected as the output signal based at least on the front-end circuit signal indicating that the front-end circuit is not operating linearly.
    Type: Application
    Filed: November 8, 2023
    Publication date: March 7, 2024
    Inventors: David Arditti Ilitzky, Harry Skinner, Fernando Ramos Alarcon Barroso, Valeri Kontorovich Mazover, Rocio Hernandez Fabian
  • Patent number: 11848692
    Abstract: A signal processing device includes a prediction and correction engine configured to receive a signal including a target signal, and to execute a single-moment filter, based on a current measurement sample of the signal and a model of the target signal, to obtain a single-moment state estimate and a single-moment state estimate error covariance for the target signal, a covariance renormalizer configured to determine a multi-moment state estimate error covariance for the target signal based on a prior single-moment state estimate error covariance, corresponding to a sample prior to the current measurement sample, and the single-moment state estimate error covariance, and a multi-moment prediction and correction engine configured to execute a multi-moment filtering extension based on the current measurement sample and the multi-moment state estimate error covariance to obtain a multi-moment state estimate, and further configured to determine an estimate for the target signal based on the multi-moment state esti
    Type: Grant
    Filed: September 28, 2017
    Date of Patent: December 19, 2023
    Assignee: Apple Inc.
    Inventors: David Arditti Ilitzky, Harry Skinner, Fernando Ramos Alarcon Barroso, Valeri Kontorovich Mazover, Rocio Hernandez Fabian
  • Publication number: 20220271782
    Abstract: A signal processing device includes a prediction and correction engine configured to receive a signal including a target signal, and to execute a single-moment filter, based on a current measurement sample of the signal and a model of the target signal, to obtain a single-moment state estimate and a single-moment state estimate error covariance for the target signal, a covariance renormalizer configured to determine a multi-moment state estimate error covariance for the target signal based on a prior single-moment state estimate error covariance, corresponding to a sample prior to the current measurement sample, and the single-moment state estimate error covariance, and a multi-moment prediction and correction engine configured to execute a multi-moment filtering extension based on the current measurement sample and the multi-moment state estimate error covariance to obtain a multi-moment state estimate, and further configured to determine an estimate for the target signal based on the multi-moment state esti
    Type: Application
    Filed: September 28, 2017
    Publication date: August 25, 2022
    Inventors: David Arditti Ilitzky, Harry Skinner, Fernando Ramos Alarcon Barroso, Valeri Kontorovich Mazover, Rocio Hernandez Fabian
  • Patent number: 11121760
    Abstract: The invention described herein presents a system and method to overcome the distortions and affectations introduced by the highly variant channels of one or several antennas both in the transmitter and in the receiver. Unlike any existing invention that operates under the same conditions, this device uses a completely new reception technique based on the concept of virtual trajectories in which iterative calculations or solution of linear systems in operating time are not required, thus saving a considerable amount of operations. The receiver of this device manages to convert the fast variations of the channel into virtual antennas, thus achieving a considerable increase in the signal to noise-interference ratio. The resulting performance in terms of noise immunity is much better than any technique found so far and also requires a much smaller amount of calculations in the receiver.
    Type: Grant
    Filed: April 6, 2017
    Date of Patent: September 14, 2021
    Assignee: CENTRO DE INVESTIGACION Y DE ESTUDIOS AVANZADOS DEL INSTITUTO POLITECNICO NACIONAL
    Inventors: Fernando Peña Campos, Ramón Parra Michel, Valeri Kontorovich Mazover
  • Patent number: 11044121
    Abstract: A modified orthogonal frequency-division multiplexing (OFDM) communication system based on virtual decomposition of the channel is proposed. The system is fully compatible with standard OFDM transmitters and maintains several blocks of standard OFDM receivers. The proposed approach achieves also incoherent reception of multicarrier signals even with a simple autocovariance DPSK detector. This novel system substantially surpasses the performance of current approaches while requiring low computational complexity. Two preferred embodiments are described; one with coherent reception using pilot signals, and the second with incoherent receiver of differentially encoded signals.
    Type: Grant
    Filed: August 31, 2016
    Date of Patent: June 22, 2021
    Assignee: Centro de Investigation y de Estudios Avanzados del Instituto Politecnico Nacional
    Inventors: Fernando Pena Campos, Valeri Kontorovich Mazover, Ramon Parra Michel
  • Publication number: 20180309598
    Abstract: A modified orthogonal frequency-division multiplexing (OFDM) communication system based on virtual decomposition of the channel is proposed. The system is fully compatible with standard OFDM transmitters and maintains several blocks of standard OFDM receivers. The proposed approach achieves also incoherent reception of multicarrier signals even with a simple autocovariance DPSK detector. This novel system substantially surpasses the performance of current approaches while requiring low computational complexity. Two preferred embodiments are described; one with coherent reception using pilot signals, and the second with incoherent receiver of differentially encoded signals.
    Type: Application
    Filed: August 31, 2016
    Publication date: October 25, 2018
    Applicant: Centro De Investigation Y De Estudios Avanzados Del Instituto Politecnico Nacional
    Inventors: Fernando PENA CAMPOS, Valeri KONTOROVICH MAZOVER, Ramon PARRA MICHEL
  • Publication number: 20150051880
    Abstract: Described are methods and systems for mitigating radio-frequency interference (RFI) generated by a receiving platform. After downconverting a received RF signal to baseband, the RFI component in the baseband signal may be estimated using a model-based estimator (e.g., a nonlinear filter such as an extended Kalman filter) that is tuned to a statistical model of the RFI source. The estimated RFI component may then be subtracted from the baseband signal to yield a compensated baseband signal from which may be extracted the baseband information signal. This filtering technique enables a highly accurate mitigation of the RFI even when the RFI power is much smaller compared to the Gaussian channel noise.
    Type: Application
    Filed: August 13, 2013
    Publication date: February 19, 2015
    Inventors: David Arditti Ilitzky, Alberto Alcocer Ochoa, Valeri Kontorovich Mazover, Fernando Ramos Alarcon Barroso