A computationally efficient feedforward time–frequency-domain hybrid active sound profiling algorithm for vehicle interior noise. (1st July 2023)

• Record Type: Journal Article
• Authors: Chen, Wan; Xie, Liping; Guo, Jingjing; Liu, Zhien; Li, Xiaolong; Lu, Chihua
• Is Part Of: Mechanical systems and signal processing. Volume 194(2023)
• Publication Date: 2023-07-01
• Subjects: Hybrid active sound profiling -- Spectrum reshaping -- Computational complexity -- Local secondary path estimation -- Delayless frequency-domain internal model FXLMS; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2023.110279
• Languages: English
• ISSNs: 0888-3270

Abstract

Abstract: Active sound profiling (ASP) is gaining ever-increasing attention owing to its powerful ability to balance the sound pressure levels of certain frequency points or frequency bands of target noise for sound quality enhancement. Most of the current ASP algorithms, however, only focus on narrowband or broadband noise alone and the computational efficiency is very low. To alleviate this problem, a feedforward time–frequency-domain hybrid active sound profiling (TFD-HASP) algorithm is proposed in this paper. The algorithm consists of three subsystems, in which the narrowband ASP (NASP) subsystem utilizes the time-domain internal model FXLMS algorithm along with the local secondary path estimation approach, the broadband ASP (BASP) subsystem is based on the delayless frequency-domain internal model FXLMS algorithm, and the sinusoidal noise canceller (SNC) subsystem is designed to eliminate narrowband interference to the BASP subsystem. In this way, the presented TFD-HASP algorithm not only has good spectral reshaping capability for both narrowband and broadband noise components, but also requires notably low computational effort. A series of simulations are performed to evaluate the performance of the TFD-HASP algorithm. In addition, the comfortable sound quality of a real vehicle interior noise at high speed is designed and realized. Experimental results demonstrate that the proposed algorithm achieves satisfactory active sound profiling for noise with both narrowband and broadband characteristics.