Application of Least Squares Lattice Filter to Active Noise Control for Automobile.

概要

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The purpose of this paper is to propose an algorithm for the active noise control (ANC) using the least squares lattice algorithm (the LSL algorithm). In the case of the random noise application of ANC such as road noise in a car during driving on rough roads, the adaptive algorithm is necessary because the transfer function of the system varies with the speed and by deterioration. As an adaptive algorithm for ANC, the LMS algorithm whose structure is simple has been used for real time operation of sound. However, when the LMS algorithm is applied to road noise in a car, the LMS algorithm has problems of both estimation accuracy and convergence speed because the order of the FIR model is high for the control of wide band frequency and the suspension vibration acceleration used as the input signal is the colored signal. In order to solve these problems, the LSL algorithm for ANC is considered and the filtered-x LSL algorithm is proposed. By computer simulations, the LSL algorithm turns out to be more effective than the LMS algorithm in both estimation accuracy and convergence speed especially for the colored input signal used in ANC of road noise.
公益社団法人計測自動制御学会の論文