The Transactions of the Korean Institute of Electrical Engineers P (전기학회논문지P)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Robustness Improvement of Adjoint-LMS Algorithms for Active Noise Control

능동소음제어를 위한 Adjoint-LMS 알고리즘의 강인성 개선

  • Moon, Hak-ryong (Korea Institute of Construction Technology, SoC Research Institute) ;
  • Shon, Jin-geun (Dept. of Electrial Engineering, Gachon University)
  • Received : 2016.07.27
  • Accepted : 2016.08.10
  • Published : 2016.09.01
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Abstract

Noise problem that occurs in living environment is a big trouble in the economic, social and environmental aspects. In this paper, the filtered-X LMS algorithms, the adjoint LMS algorithms, and the robust adjoint LMS algorithms will be introduced for applications in active noise control(ANC). The filtered-X LMS algorithms is currently the most popular method for adapting a filter when the filter exits a transfer function in the error path. The adjoint LMS algorithms, that prefilter the error signals instead of divided reference signals in frequency band, is also used for adaptive filter algorithms to reduce the computational burden of multi-channel ANC systems such as the 3D space. To improve performance of the adjoint LMS ANC system, an off-line measured transfer function is connected parallel to the LMS filter. This parallel-fixed filter acts as a noise controller only when the LMS filter is abnormal condition. The superior performance of the proposed system was compared through simulation with the adjoint LMS ANC system when the adaptive filter is in normal and abnormal condition.

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References

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