TITLE:
Xilinx System Generator® Based Implementation of a Novel Method of Extraction of Nonstationary Sinusoids
AUTHORS:
Muhammad Abubakar, Arshad Aziz, Pervez Akhtar
KEYWORDS:
Xilinx; System Generator; FPGA; Adaptive; Filter; Estimation; Sinusoid; Spatan6; Sta
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.4 No.3B,
October
16,
2013
ABSTRACT: Model based implementation of a novel
nonlinear adaptive filter for extraction of time varying sinusoids using Xilinx
system generator has been presented in this work. The practicality of this
filter model along with its performance makes it one of the foremost candidates
to be applied on nonlinear systems for the purpose of estimation and extraction
using reconfigurable hardware like FPGA. A design implementation and
verification approach has been discussed for more efficient implementation.
Timing and power analysis has been performed and the architecture has been
optimized for speed and power to perform at higher frequency when integrated on
a Xilinx FPGA. The proposed hardware oriented architecture has been
successfully implemented and simulated. The simulation results to track a noisy
input have also been shown to demonstrate the exceptional performance of the
hardware based architecture developed.