Study of Noise Canceling Performance of Feedforward Fuzzy-Based ANC System under Non-Causal Condition

Hamed Mojallali, Roozbeh Izadi-Zamanabadi, Rouzbeh Amini

Research output: Contribution to conference without publisher/journalPaper without publisher/journalResearchpeer-review

Abstract

Feed-forward active noise control (ANC) systems act as adaptive systems to control and cancel undesired signals and noises. If the delay in the noise canceling subsystems increases more than the delays in the primary path, non-causal condition will occur in these systems. In this paper, study of noise canceling performance of feed-forward fuzzy-based ANC systems for ducts under non-causal condition is presented. For this purpose, we use fuzzy filtered-x algorithm as an adaptive filter and the results are compared with classical filteredx algorithm which is employed under the same conditions. Analysis shows that ANC systems using fuzzy algorithm has better efficiency for noise cancellation in non-causal condition.
Original languageEnglish
Publication date2006
Number of pages5
Publication statusPublished - 2006
EventSix International Conference on Intelligent System Design and Applications, ISDA06 - Jinan, Shandong, China
Duration: 16 Oct 200618 Oct 2006

Conference

ConferenceSix International Conference on Intelligent System Design and Applications, ISDA06
Country/TerritoryChina
CityJinan, Shandong
Period16/10/200618/10/2006

Keywords

  • Active Noise Control
  • Fuzzy

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