Research On Adaptive Noise Cancellation Based On Neural Network And Simultaneous Equations Method

With modern industrial development, the subject of noise control has attracted people's growing attention and concern. Adaptive active noise cancellation based on the adaptive control strategy has become one of important researches in the field of active noise control. Control algorithm is an important factor of directly affecting the adaptive control quality. So far, a lot of great achievements have been reached in the study of control algorithm all over the world. However, there are obvious deficiency and specificity in many of these algorithms. Therefore, it is a very potential and meaningful work to improve the performance of control algorithm by means of new information analytical tools.Aimed at this point, the control algorithm is chosen to be studied in this paper. Two kinds of adapative active noise cancellation algorithms which are based on neural network and simultaneous equations are discussed in this paper.To control nonlinear noise effectively, FXBPNN algorithm is studied. This algorithm using BP (back propagation) neural network as a controller of an adapative active noise cancellation system can cancel nonlinear noise. But it is has large amount of computation. Therefore, on the basis of this algorithm, FEBPNN algorithm with lower computational load is proposed in this paper.Then, Computer simulations are carry out to compare the FEBPNN algorithm with FXBPNN algorithm and FXLMS algorithm.In addition, an adaptive active noise cancellation algorithm based on the simultaneous equations method is introduced in this paper. This algorithm can avoid secondary path modeling by system identification of an auxiliary filter. As a result, the amount of computation is increased. In this paper, an improved adaptive active noise cancellation algorithm based on the simultaneous equations method is proposed. By storing a small number of an input signal and an error signal, it can avoid this identification. Therefore, the amount of computation can be reduced greatly. Computer simulations are carry out to compare the two algorithms with FXLMS algorithm.At last, the performance of several adaptive active noise cancellation algorithm studied in the paper is proved through analysis and trealing with the sea trial data.