An Alternating Mode Strategy for Adaptive Sound Field Control and Acoustic Path Tracking

Sound field control (SFC) aims to accurately reproduce a desired sound field within a specified region, which requires both adaptation to input signal characteristics and precise estimation of acoustic paths between loudspeakers and microphones. To meet these demands, two adaptive algorithms are proposed. The first is a signal-adaptive multichannel filteredx least-mean-square (MCFxLMS) filter designed to handle nonstationary input signals such as speech and music. The second is an acoustic path tracking algorithm that incorporates an input signal decorrelation strategy, enabling robust tracking of multichannel room impulse responses (RIRs) even under highly correlated excitation. Additionally, an alternating modeswitching mechanism is introduced to dynamically activate each algorithm based on predefined criteria. This approach can reduce computational complexity in large-scale multichannel systems while preserving sound field fidelity within the control region.