AdaptiveACC

Acoustic contrast control is a key methodology for generating personal sound zones, and its application in stable acoustic environments has been extensively studied. However, in real-world scenarios, changes in the acoustic environment are inevitable. To address this challenge, this paper proposes an adaptive control method capable of online modeling of the acous- tic transfer functions in non-stationary environments. A data- block-based frequency domain adaptive algorithm is employed for acoustic transfer functions modeling, while a power-based eigenvector tracking algorithm is used for updating the control filters. Simulations were conducted using publicly available im- pulse response data to evaluate the performance of a six-speaker array across two sound zones. The results demonstrate that the proposed method effectively tracks environmental changes and adapts the control filters, ensuring stable acoustic contrast performance