The Aerospace Corporation

Phillip Brian Hess

Philip A Dafesh

Alexander Clifton Utter

Andres I Vila Casado

Gourav K Khadge

Aidan Wilson

Provided herein are circuits and methods for processing samples of a received in-phase and quadrature (I/Q) domain signal that includes a desired signal and an interference signal that spectrally overlaps the desired signal. In the I/Q domain, a first contribution to the interference signal is removed from the samples using a first algorithm to generate first processed signal samples. Amplitudes and phases of the first processed signal samples are obtained. In an amplitude domain, a second contribution to the interference signal is removed from the amplitudes of the first processed signal samples using a second algorithm to generate second processed signal samples. A signal quality metric of the second processed signal samples is obtained. Based on the signal quality metric of the second processed signal samples, one or more parameters of the first or second algorithm are adjusted to improve the signal quality metric of the second processed signal samples.

Circuits and methods for reducing an interference signal that spectrally overlaps a desired signal

Under one aspect, a method is provided for processing a received signal, the received signal including a desired signal and an interference signal that spectrally overlaps the desired signal. The method can include obtaining an amplitude of the received signal. The method also can include obtaining an average amplitude of the received signal based on at least one prior amplitude of the received signal. The method also can include subtracting the amplitude from the average amplitude to obtain an amplitude residual. The method also can include, based upon an absolute value of the amplitude residual being less than or equal to a first threshold, inputting the received signal into an interference suppression algorithm so as to generate a first output including the desired signal with reduced contribution from the interference signal.

Methods, systems, and computer program products are described for automatically reducing interference within received signals. A first radio frequency (RF) signal having (i) a desired component and (ii) an interference component with a noise component and a jammed component is received. A trained machine learning (ML) model extracts, from the RF signal, the jammed component and a portion of the noise component. The trained ML model generates and outputs a second RF signal comprising the desired component and a reduced noise component. The reduced noise component has the portion of the noise component removed. The jammed component is removed from the second RF signal.

Interference suppression using machine learning

Circuits and methods are described herein for suppressing interference in binary offset carrier (BOC) modulated signals The BOC signal includes an upper sideband (USB) and a lower sideband (LSB). The LSB or the USB of the BOC signal is rotated from a first frequency to a second frequency. Interference in the rotated LSB or USB is reduced. An output BOC signal with reduced interference is generated based on the rotated LSB or USB from which interference has been reduced.

Suppressing interference in binary offset carrier modulated signals

Under one aspect, a method for reducing interference in a received signal can include splitting a received signal into a first portion and a second portion, the received signal comprising a desired signal and an interference signal that spectrally overlaps the desired signal. The method also can include estimating an amplitude A(t) of the first portion as a function of time. The method also can include suppressing at least a portion of the interference signal in the estimated amplitude A(t) to generate an interference suppressed amplitude A'(t). The method also can include delaying the second portion by an amount of time corresponding to the estimation and suppression. The method also can include multiplying the interference suppressed amplitude A&#x2032;(t) by the delayed second portion to obtain an output having reduced contribution from the interference signal.

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Venice, CA, United States of America

Phillip Brian Hess