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A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising

Al-Dabbagh, Mohanad Dawood and Al-Dabbagh, Rawaa Dawoud and Raja Abdullah, Raja Syamsul Azmir and Hashim, Fazirulhisyam (2015) A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising. Engineering Optimization, 47 (6). pp. 771-787. ISSN 0305-215X; ESSN: 1029-0273

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Abstract

The main intention of this study was to investigate the development of a new optimization technique based on the differential evolution (DE) algorithm, for the purpose of linear frequency modulation radar signal de-noising. As the standard DE algorithm is a fixed length optimizer, it is not suitable for solving signal de-noising problems that call for variability. A modified crossover scheme called rand-length crossover was designed to fit the proposed variable-length DE, and the new DE algorithm is referred to as the random variable-length crossover differential evolution (rvlx-DE) algorithm. The measurement results demonstrate a highly efficient capability for target detection in terms of frequency response and peak forming that was isolated from noise distortion. The modified method showed significant improvements in performance over traditional de-noising techniques.

Item Type:Article
Keyword:Chirp pulse generators; Differential evolution (DE); Target detection; Radar signal de-noising
Faculty or Institute:Faculty of Engineering
Publisher:Taylor & Francis
DOI Number:10.1080/0305215X.2014.927449
Altmetrics:httphttp://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1080/0305215X.2014.927449
ID Code:43526
Deposited By: Mohd Hafiz Che Mahasan
Deposited On:29 Jun 2016 09:11
Last Modified:29 Sep 2016 12:40

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