声强控制的智能座舱自适应声场分区算法OA

To address the issue that the sound field zoning control system in vehicles cannot effectively control the phase information of the sound field,leading to sub-optimal control performance,an adaptive sound field zoning algorithm based on sound intensity control was proposed.Through the measurement of the acoustic transfer function(ATF)and the sound intensity information in the initial and variable acoustic environment of the vehicle,the target function that minimizes the sound intensity in the dark zone was established.Setting the constraints condition of the phase information of the sound intensity in the bright zone,the control filter coefficients were derived by simulation.When the acoustic environment changed,the control filter coefficients were updated using an adaptive algorithm,and the zoning performances of different methods were compared.Experimental validation shows that using the sound intensity control method,the average sound contrast degree can be improved by 3.6 dB across the full frequency band while maintaining the same accuracy of sound field reproduction.The results indicate that the adaptive sound field zoning algorithm based on sound intensity control,with the initial sound intensity parameter input only,can maintain good zoning performance through adaptive iteration when the acoustic environment in the vehicle changes.