A robust secondary path modeling technique for narrowband active noise control systems

When the maximal length sequence correlation (MLC) technique is applied to the secondary path modeling (SPM) for narrowband active noise control (ANC) systems, the system performance is easily affected by narrowband signals. In order to overcome this shortcoming, the paper proposes a modified MLC (M...

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Published inInternational Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Vol. 1; pp. 818 - 821 Vol.1
Main Authors Ai-qun Hu, Xiao Hu, Shi Cheng
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Active noise reduction
Adaptive filters
Computer errors
Control system synthesis
Distortion
Narrowband
Noise robustness
Robust control
Scanning probe microscopy
System performance
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Summary:When the maximal length sequence correlation (MLC) technique is applied to the secondary path modeling (SPM) for narrowband active noise control (ANC) systems, the system performance is easily affected by narrowband signals. In order to overcome this shortcoming, the paper proposes a modified MLC (MMLC) SPM technique. This technique can be implemented by using an adaptive prediction filter (APF) to remove the narrowband components in the error signal and a compensation filter (CPF) to modify the distortion of the training signal component due to the APF. The computer simulations confirm that the novel SPM technique can overcome effectively the impact of the narrowband signals on the secondary path modeling of ANC systems and has higher modeling accuracy.
ISBN:9780780377028
0780377028
DOI:10.1109/ICNNSP.2003.1279401