능동소음제어를 위한 Adjoint-LMS 알고리즘의 강인성 개선

다국어 초록 (Multilingual 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.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 다중채널 구조의 ANC
• 3. ANC를 위한 적응필터 알고리즘
• 4. 제안된 ANC 알고리즘의 모의실험
• 5. 결론
• References

참고문헌 (Reference)

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6 B. Widrow, "Adaptive Signal Processing" Prentice Hall 1985

7 Sen M. Kuo, "Active Noise Control System Algorithms and DSP Implementations" John Wiley & Sons 1996

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