IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.1, January 2009
41
Manuscript received January 5, 2009
Manuscript revised January 20, 2009
EHW Architecture for Design of FIR Filters for Adaptive
Noise Cancellation
Uma Rajaram†, Raja Paul Perinbam†, Bharghava††
† Anna University, Chennai, India
††CVEST, International Institute of Information Technology, Hyderabad, India
Summary
This paper describes a new technique for the design of Finite
Impulse Response (FIR) Filter within an Evolvable hardware
framework, using genetic algorithm (GA), aimed at noise
cancellation. This implementation aims at reducing the number of
generations required to provide time bound optimal filter
configuration and to improve the quality of the filter designed. The
filter is designed to reconfigure itself and provide real-time noise
cancellation. The filter logic is implemented on a novel
reconfigurable fabric. The GA processing and the reconfigurable
framework is synthesized on Xilinx XCV1000 hardware chip. The
results obtained show the validity of the approach to adaptive
noise cancellation using Evolvable Digital Filters.
Key words:
Evolvable Hardware, Noise Cancellation, Adaptive Filter,
Reconfigurable Hardware
1. Introduction
Reconfigurable hardware devices make it possible to
change the topology of electronic circuits at runtime. Using
reconfigurable devices as a platform for Evolvable
hardware (EHW) is well suited for real-time adaptive
systems. EHW is a scheme inspired by natural evolution,
for automatic design of hardware systems. It refers to
hardware that can change its architecture and behavior
dynamically and autonomously by interacting with its
environment. It is built on top of reconfigurable logic
devices, whose architecture can be reconfigured by using
Evolutionary Algorithms (EA). The reconfigurable device
acts as the design space for the EA, which then determines
the optimum hardware configuration required for a
particular desi