Systems and methods for implementing a multi-sensor receiver in a DSM3 environment

A method for improving a signal-to-noise ratio (SNR) of a far end transmitted signal on a victim line in a system, comprising:

• receiving, by the victim line, at least one of:
• self-induced far-end crosstalk (self-FEXT) of the vectored system, external noise, and the far end transmitted signal;
• receiving, by a second sensor, a noise signal comprising at least one of:
• self-FEXT of the vectored system, external noise, and the far end transmitted signal, wherein the second sensor is configured to receive the noise signal exclusive of any useful signals in the system;
• learning, at the victim line, coefficients relating to self-FEXT coupling into the victim line, wherein learning is performed based on known training mode sequences transmitted in the system;
• learning, at the second sensor, coefficients relating to self-FEXT coupling into the second sensor, wherein learning is performed based on known training mode sequences transmitted in the system;
• removing, at the victim line, self-FEXT from the main line based on the learned coefficients;
• removing, at the second sensor, self-FEXT from the second sensor based on the learned coefficients;
• learning a linear combiner upon removing self-FEXT from both the main line and the second sensor, the linear combiner configured to combine information relating to the victim line and the second sensor;
• applying the learned linear combiner;
• and
• learning the self FEXT mitigation coefficients and performing noise mitigation on the victim line to remove self-FEXT on the victim line.

A vectored system configured to improve a signal-to-noise ratio (SNR) of a far end transmitted signal on a victim line, comprising:

• a far end crosstalk (FEXT) mitigator configured to mitigate self-induced far-end crosstalk (self-FEXT) on the victim line based on self-FEXT mitigation coefficients;
• a first sensor coupled to the victim line;
• a second sensor, the second sensor configured to receive information relating to a noise source comprising at least to one of:
• the vectored system, external noise, and the far end transmitted signal on the victim line, wherein the second sensor is configured to receive the information relating to the noise source exclusive of any useful signals in the system;
• the second sensor further configured to learn coefficients relating to self-FEXT coupling into the second sensor and remove self-FEXT based on the learned coefficients;
• and
• a linear combiner configured to undergo learning upon removal of self-FEXT from the second sensor, wherein the linear combiner is configured to combine information relating to the victim line and the noise source;
• wherein the FEXT mitigator is further configured to readjust the self-FEXT mitigation coefficients to remove any residual self-FEXT on the victim line after application of the learned linear combiner.

A method implemented in customer premises equipment (CPE) for improving a signal-to-noise ratio (SNR) of a far end transmitted signal on a victim line, comprising:

• receiving, by the victim line, one or more of:
• the far end transmitted signal, self-induced far-end crosstalk (self-FEXT) of a vectored system, and external noise;
• receiving, by a second sensor, information relating to a noise source comprising one or more of:
• the far end transmitted signal, self-induced far-end crosstalk (self-FEXT) of a vectored system, and external noise, wherein the second sensor is configured to receive the information relating to the noise source exclusive of any useful signals in the system;
• based on the presence of self-FEXT, learning, at the victim line, coefficients relating to self-FEXT coupling into the victim line;
• learning, at the second sensor, coefficients relating to self-FEXT coupling into the second sensor;
• responsive to the presence of self-FEXT, removing self-FEXT from the victim line based on the learned coefficients;
• removing self-FEXT from the second sensor based on the learned coefficients;
• upon removal of self-FEXT from the second sensor, learning a linear combiner configured to combine information relating to the victim line and the noise source;
• and
• applying the learned linear combiner.

A customer premises equipment (CPE) unit in a vectored system for improving a signal-to-noise ratio (SNR) of a far end transmitted signal on a victim line, comprising:

• a first sensor coupled to the victim line, the first sensor configured to learn coefficients relating to self-induced far-end crosstalk (self-FEXT) coupling into the first sensor and remove self-FEXT based on the learned coefficients;
• a second sensor configured to receive information relating to a noise source comprising at least one of:
• the vectored system, external noise, and the far end transmitted signal on the victim line, the second sensor further configured to learn coefficients relating to self-FEXT coupling into the second sensor and remove self-FEXT based on the learned coefficients, and wherein the second sensor is configured to receive the information relating to the noise source exclusive of any useful signals in the system;
• and
• a linear combiner configured to undergo learning upon removal of self-FEXT from the first and the second sensor, wherein the linear combiner is configured to combine information relating to the victim line and the noise source.