System and method for interference signal reduction

A method of interference signal reduction comprising:

• receiving an input signal comprising a plurality of signal segments;
• providing the input signal to a machine learning model configured to output an estimate of a target signal from the input signal;
• wherein the method further comprises:
• classifying each input signal segment of the plurality of signal segments as one of a target-only signal segment, an interference-only signal segment and, optionally, an undefined signal segment;
• and
• adapting the machine learning model based on the target-only signal segments and the interference-only signal segments.

An interference signal reduction system comprising:

• a signal input configured to receive an input signal comprising a plurality of signal segments;
• an interference signal reduction system output;
• a target signal estimator configured to output an estimate the target signal from the input signal, the target signal estimator comprising a machine learning model and having a target signal estimator input coupled to the signal input, a target signal estimator output coupled to the interference signal reduction system output, and an adaptor input;
• a signal classifier having a signal classifier input coupled to the signal input, a target signal output, and interference signal output;
• an adaptor having a target signal input coupled to the target signal output, an interference signal input coupled to the interference signal output, and a model adaptor output coupled to the adaptor input;
• wherein the signal classifier is configured to classify each input signal segment of the plurality of signal segments as one of a target-only signal segment, an interference-only signal segment and, optionally, an undefined signal segment;
• and
• the adaptor is configured to adapt the machine learning model based on the target-only signal segments and the interference-only signal segments.