Active Impulse Noise Control Algorithm Based on Minimum Error Entropy
Li Zhaoxia;Yu Ning;Department of Instrumentation Science and Opto-Electronics Engineering, Beihang University;
Active noise control(ANC) based on the principle of destructive interference can effectively reduce the influence of low frequency noise. The Filtered-x least mean square(FxLMS) algorithm is commonly used because of its simplicity. It is usually assumed that the noise in the environment is Gaussian noise, but the noise in many real environments exhibits impulse characteristics. The traditional FxLMS algorithm is based on second moment. Because the variance of the error does not exist in the impulse noise environment, the FxLMS based ANC system shows degraded noise reduction performance and even be unstable. The Minimum Error Entropy(MEE) adaptive filtering algorithm is robust to the impulse noise, so it is applied to the ANC system(FxMEE). Simulation results show that the proposed method can improve the noise reduction performance in different impulse noise environments.
【CateGory Index】： TB535