Systems and methods for dynamic reference signal selection and gain adjustment in adaptive noise cancellation systems

A noise cancellation system for a vehicle, comprising:

• a plurality of reference sensors configured to acquire a plurality of reference signals correlated to noise sources within a vehicle cabin, wherein the noise sources comprise at least one of an acoustic vehicle alerting system (AVAS) speaker, a light detection and ranging (LiDAR) sensor, a seat motor, and a heating, ventilation, and air conditioning (HVAC) blower motor;
• an adaptive weight filter in electronic communication with the plurality of reference sensors, configured to apply an adaptive filtering process to the plurality of reference signals to produce a noise cancellation signal;
• a plurality of speakers positioned within the vehicle cabin and in electronic communication with the adaptive weight filter, configured to emit the noise cancellation signal into the vehicle cabin;
• a plurality of error microphones positioned within the vehicle cabin and configured to record a residual signal resulting from interaction of the emitted noise cancellation signal and the noise sources within the vehicle cabin;
• and
• a signal processing unit in electronic communication with the plurality of reference sensors and the plurality of error microphones, wherein the signal processing unit comprises:
• a non-transitory memory storing a plurality of gain lookup tables and instructions;
• and
• a processor, wherein, when executing the instructions, the processor is configured to:
• estimate one or more vehicle operating parameters;
• retrieve, from the plurality of gain lookup tables, a plurality of dynamic gain values for the plurality of reference signals based on the estimated one or more vehicle operating parameters and a type of each reference signal;
• apply the plurality of dynamic gain values to the plurality of reference signals to produce a plurality of gain-adjusted reference signals;
• combine the plurality of gain-adjusted reference signals into a reduced set of combined reference signals using a reference signal mixer;
• and
• provide the reduced set of combined reference signals to the adaptive weight filter to adjust the noise cancellation signal based on the combined reference signals.

A method for adjusting reference signals in an active noise cancellation (ANC) system for a vehicle, the method comprising:

• acquiring a first noise reference signal from an accelerometer and a second noise reference signal from an additional noise source within the vehicle;
• estimating one or more vehicle operating parameters based on data from one or more vehicle system sensors;
• retrieving, from a first gain lookup table, a first dynamic gain value for the first noise reference signal based on the estimated one or more vehicle operating parameters;
• retrieving, from a second gain lookup table, a second dynamic gain value for the second noise reference signal based on the estimated one or more vehicle operating parameters and a type of the additional noise source;
• applying the first dynamic gain value to the first noise reference signal and applying the second dynamic gain value to the second noise reference signal to generate a first gain-adjusted noise reference signal and a second gain-adjusted noise reference signal, respectively;
• applying a first mixing gain to the first gain-adjusted noise reference signal and a second mixing gain to the second gain-adjusted noise reference signal to produce a first mixing gain-adjusted noise reference signal and a second mixing gain-adjusted noise reference signal;
• summing the first mixing gain-adjusted noise reference signal and the second mixing gain-adjusted noise reference signal to generate a combined reference signal;
• providing the combined reference signal to an adaptive weight filter of the ANC system;
• and
• adjusting filter coefficients of the adaptive weight filter based on the combined reference signal and a residual signal from a plurality of error microphones within a cabin of the vehicle.