Active Noise Control using IIR Adaptive Filter
Rintu S. Abraham1, Veena S.2
1Rintu S Abraham, M.Tech (DSP & VLSI) Student, Global Campus Jain University, Ramanagar District, Karnataka, India.
2Veena S, Scientist E, ALD, National Aerospace Laboratory (CSIRNAL), Bangalore, India.
Manuscript received on July 17, 2012. | Revised Manuscript received on August 25, 2012. | Manuscript published on August 30, 2012. | PP: 55-58 | Volume-1 Issue-6, August 2012. | Retrieval Number: F0604071612/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Noise control is essential from the point of view of health, conversation and communication. Traditionally reduced noise levels are achieved by means of passive absorbers like foam, perforated boards etc. But due to their size and weight, the passive absorbers are not suitable for mobile vehicles like aircrafts, helicopters and cars at low frequencies (50-500 Hz). This calls for an alternative technology, ACTIVE NOISE CONTROL (ANC). Generally, algorithms based on adaptive FIR structure with number of coefficients ranging up to hundreds are used in active noise control and this increases the computational burden on the processor. Compared to FIR filters, in this project IIR filters are used that can model a physical system efficiently with less number of coefficients due to its inherent pole-zero structure. The poles of an IIR filter make it possible to obtain well-matched characteristics with a lower-order structure, thus requiring fewer arithmetic operations.
Keywords: ANC, FIR, IIR