Title
A Novel Optimization Framework for Classic Windows Using Bio-Inspired Methodology.
Abstract
This paper presents a novel optimization framework for classic windows using a bio-inspired methodology, the firefly algorithm. Classic windows are widely used as sidelobe control for signals undergoing discrete Fourier transform processing. In general, the lower sidelobes of nonrectangular windows have been achieved at the cost of broadening of the mainlobe width (MW). Here, the novel optimized windows allow a better peak sidelobe ratio without MW broadening. The simulation results show the effectiveness of the proposal for sidelobe reduction for the purpose of radar range imaging while preserving resolution.
Year
DOI
Venue
2016
10.1007/s00034-015-0079-4
Circuits Systems and Signal Processing
Keywords
Field
DocType
Window optimization, Peak sidelobe ratio (PSLR), Mainlobe width (MW), Firefly algorithm (FA)
Radar,Mathematical optimization,Firefly algorithm,Electronic engineering,Discrete Fourier transform,Mathematics
Journal
Volume
Issue
ISSN
35
2
1531-5878
Citations 
PageRank 
References 
1
0.36
7
Authors
3
Name
Order
Citations
PageRank
Zhihuo Xu162.21
Yunkai Deng229254.84
Yu Wang3368.93