Performance Investigation of Digital Lowpass IIR Filter Based on Different Platforms

Abstract

The work presented in this paper illuminates the design and simulation of a recursive or Infinite Impulse Response (IIR) filter. The proposed design algorithm employs the Genetic Algorithm to determine the filter coefficients to satisfy the required performance. The effectiveness of different platforms on filter design and performance has been studied in this paper. Three different platforms are considered to implement and verify the designed filter’s work through simulation. The first platform is the MATLAB/SIMULINK software package used to implement the Biquad form filter. This technique is the basis for the software implementation of the designed IIR filter. The HDL – Cosimulation technique is considered the second one; it inspired to take advantage of the existing tools in SIMULINK to convert the designed filter algorithm to the Very high-speed integrated circuit Hardware Description Language (VHDL) format. The System Generator is employed as the third technique, in which the designed filter is implemented as a hardware structure based on basic unit blocks provided by Xilinx System Generator. This technique facilitates the implementation of the designed filter in the FPGA target device. Simulation results show that the performance of the designed filter is remarkably reliable even with severe noise levels.

A Reconfigurable 4th Order IIR Filter For The Low Frequency Applications

“…Most of digital signal processing applications necessitate a resilient digital filter block based on low cost, less memory and low power design strategy. In the further view of digital filters, FIR and IIR architectures are presented in the previous studies [4][5][6][7][8][9][10][11]. When compared to the FIR counterparts, IIR filter structures presents more flexibility, less memory requirement and reduced design time.…”