Active acoustic noise cancellation with audio signal enhancement based on an almost‐symmetrical time‐varying autoregressive‐moving average model

The basic idea of active noise cancellation (ANC) is to generate a controllable secondary source which compensates a noise in a certain spatial region. In headset applications, it is desirable to generate a secondary source which cancels the acoustic noise field, while preserving the useful audio field. This requires that the cancellation algorithm possess an ability to differentiate between the useful audio signal and the cancellation residual at the secondary‐sensor output. This is a formidable task for the conventional linear time‐invariant filtering approach, since the Fourier spectra of acoustic noise and the audio signal occupy the same frequency bandwidth. In this paper, a two‐sensor ANC scheme is presented with application to a noise‐reduction headset. The active noise cancellation carried out is based on the concept of the separation of superimposed signals with complete overlapping spectra by using an almost‐symmetrical time‐varying autoregressive‐moving average model (ASTV‐ARMA). The significan...