An improved LMS algorithm for active sound-quality control of vehicle interior noise based on auditory masking effect

2018 ◽  
Vol 108 ◽  
pp. 292-303 ◽  
Author(s):  
Y.S. Wang ◽  
T.P. Feng ◽  
X.L. Wang ◽  
H. Guo ◽  
H.Z. Qi
Keyword(s):  
Quality Control ◽  
Sound Quality ◽  
Interior Noise ◽  
Lms Algorithm ◽  
Masking Effect ◽  
Auditory Masking ◽  
Vehicle Interior ◽  
Vehicle Interior Noise

Active control for vehicle interior noise using the improved iterative variable step-size and variable tap-length LMS algorithms

2019 ◽  
Vol 67 (6) ◽  
pp. 405-414 ◽  
Author(s):  
Ningning Liu ◽  
Yuedong Sun ◽  
Yansong Wang ◽  
Hui Guo ◽  
Bin Gao ◽  
...  
Keyword(s):  
Steady State ◽  
Noise Control ◽  
Convergence Speed ◽  
Interior Noise ◽  
Lms Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Vehicle Interior ◽  
Vehicle Interior Noise ◽  
Variable Step

Active noise control (ANC) is used to reduce undesirable noise, particularly at low frequencies. There are many algorithms based on the least mean square (LMS) algorithm, such as the filtered-x LMS (FxLMS) algorithm, which have been widely used for ANC systems. However, the LMS algorithm cannot balance convergence speed and steady-state error due to the fixed step size and tap length. Accordingly, in this article, two improved LMS algorithms, namely, the iterative variable step-size LMS (IVS-LMS) and the variable tap-length LMS (VT-LMS), are proposed for active vehicle interior noise control. The interior noises of a sample vehicle are measured and thereby their frequency characteristics. Results show that the sound energy of noise is concentrated within a low-frequency range below 1000 Hz. The classical LMS, IVS-LMS and VT-LMS algorithms are applied to the measured noise signals. Results further suggest that the IVS-LMS and VT-LMS algorithms can better improve algorithmic performance for convergence speed and steady-state error compared with the classical LMS. The proposed algorithms could potentially be incorporated into other LMS-based algorithms (like the FxLMS) used in ANC systems for improving the ride comfort of a vehicle.

A New Method of Sound Quality Analysis Based on Design of Experiment

2016 ◽  
Vol 30 (05) ◽  
pp. 1658001
Author(s):  
Gangping Tan ◽  
Gang Jie ◽  
Ming Cao
Keyword(s):  
Active Noise Control ◽  
Objective Evaluation ◽  
Sound Quality ◽  
Interior Noise ◽  
Quality Analysis ◽  
Optimum Level ◽  
Optimization Strategy ◽  
Vehicle Interior ◽  
Band Noise ◽  
Vehicle Interior Noise

An optimization strategy of sound quality was proposed to improve sound quality inside a vehicle. The frequency of vehicle interior noise was divided into sub-bands by equivalent rectangular bandwidth (ERB) in the frequency domain, and the intensity of sub-band noise located in the mid-low frequency can be modified by using the measure of active noise control (ANC) in order to analyze its influence on the sound quality of original noise. Orthogonal experiments of vehicle interior noise were conducted according to experimental design. A model of sound quality objective evaluation (SQOE) was proposed as an experimental index. The role of sub-band on the model of SQOE was analyzed at different speeds so as to achieve the optimum level, optimum combination of sound quality and main factors. The results, obtained by implementing the optimization strategy of sound quality, were verified by means of tests. By validation, it showed that optimum sound quality can be achieved by changing the intensity of sub-band noise.

Sign in / Sign up

Export Citation Format

Share Document