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Browse Journal: IST Transactions of Computer Systems-Theory and Applications


Year: Issue Number:

Paper No Title Abstract
03-10-002 Affine Projection Adaptive Filter is a Better Noise Canceller Show Abstract PDF
  M Yasin, Pervez Akhtar, M Junaid Khan
Rapid growth in Wireless Network infrastructures creates a lot of noise/interference within limited available bandwidth. By using adaptive filtering technology to remove noise from a signal, the overall efficiency of the wireless communication system can be enhanced. In this paper, we present the performance analysis of two novel algorithms i.e. Affine Projection (AP) and Affine Projection Recursive Updating (APRU) with Sign-Data Least Mean Square (SDLMS), using Welch and Periodogram estimation techniques. The comparison is made on their noise cancellation performance. The power is measured employing subspace methods via Multiple Signal Classification (MUSIC) algorithm for each algorithm being implemented. Simulation results reveal that AP and APRU obtain best result for noise cancellation performance, estimation of power spectral density (PSD) and for power measurement as compared to SDLMS.
 
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