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A Genetic Algorithm for the Optimisation of a Reconfigurable Pipelined FFT Nasri Sulaiman and Tughrul Arslan
 

Summary: 1
A Genetic Algorithm for the Optimisation of a Reconfigurable Pipelined FFT
Processor
Nasri Sulaiman and Tughrul Arslan
Department of Electronics and Electrical Engineering
The University of Edinburgh
Scotland
N.Sulaiman@ed.ac.uk, Tughrul.Arslan@ee.ed.ac.uk.
Abstract
This paper describes the optimisation of the word length
in a 16-point radix-4 reconfigurable pipelined Fast
Fourier Transform (FFT) based receiver device. Two
forms of optimisation; input data optimisation and FFT
coefficients optimisation are investigated in this paper.
The word length for input data and FFT coefficients are
initially set to 16-bits. A Genetic Algorithm (GA) is then
used to find the optimal word length for the input data
and FFT coefficients while satisfying functionality
constraints. The GA is able to determine an optimised
word length down to 10 bits for input data and 8 bits for

  

Source: Arslan, Tughrul - School of Engineering and Electronics, University of Edinburgh

 

Collections: Engineering