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Title: Filtered-X Affine Projection Algorithm in Active Noise Control Using Volterra Filter
Authors: Kumar, Mani Kant
Supervisor: Kohli, Amit Kumar
Issue Date: 16-Aug-2010
Abstract: The affine projection algorithms are a family of adaptive filters that can produce a good tradeoff between convergence speed and computational complexity. Their properties have been exploited for many years in the field of acoustic echo cancellation, and recently it was recognized that the filtered- AP algorithms can be very helpful also in the field of active noise control both for singlechannel and multichannel solutions. Active noise controllers are based on the destructive interference in a given location of the noise produced by some primary sources with an interfering signal generated by some secondary sources driven by an adaptive controller. A commonly used strategy is based on the feedforward and feedback methods, where some reference signals measured in the proximity of the noise source are available. These signals are used together with the error signals captured in the proximity of the zone to be silenced in order to adapt the controller. Single-channel and multichannel schemes have been proposed in the literature according to the number of reference sensors, error sensors, and secondary sources used. These systems work on the principle of destructive interference between an original primary signal and secondary signal. From the simulation results, Feedforward system has given better performance than feedback methods for LMS Algorithm, Filtered-X LMS Algorithm and filtered-AP Algorithm. In thesis, we analyzed LMS Algorithm, Filtered-X LMS Algorithm and filtered-AP Algorithm for active noise control. In Filtered-X AP Algorithm, we used volterra filter. From the simulations results, AP Algorithm has given better performance and less complexity than LMS Algorithm and Filtered-XLMS algorithm. Filtered-X AP Algorithm used for high frequency and multichannel, decreased sensitivity to errors in the error-path model. Filtered-X AP Algorithm has taken less number of iterations for mean square error and mean attenuation for single and multichannel.
Description: M.E. (ECED)
Appears in Collections:Masters Theses@ECED

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