Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Active Noise Cancellation using a Teacher Forced BSS Learning Algorithm

  • Sohn, Jun-Il (Department of Sensor Engineering, Kyungpook National University) ;
  • Lee, Min-Ho (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Lee, Wang-Ha (Research Institute of Industrial Science & Technology)
  • Published : 2004.05.31
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Abstract

In this paper, we propose a new Active Noise Control (ANC) system using a teacher forced Blind Source Separation (BSS) algorithm. The Blind Source Separation based on the Independent Component Analysis (ICA) separates the desired sound signal from the unwanted noise signal. In the proposed system, the BSS algorithm is used as a preprocessor of ANC system. Also, we develop a teacher forced BSS learning algorithm to enhance the performance of BSS. The teacher signal is obtained from the output signal of the ANC system. Computer experimental results show that the proposed ANC system in conjunction with the BSS algorithm effectively cancels only the ship engine noise signal from the linear and convolved mixtures with human voice.

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References

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