A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising
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...
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| Format: | Article |
| Language: | English |
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Taylor & Francis
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43526/ http://psasir.upm.edu.my/id/eprint/43526/1/A%20new%20modified%20differential%20evolution%20algorithm%20scheme.pdf |
| _version_ | 1848850252114690048 |
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| author | Al-Dabbagh, Mohanad Dawood Al-Dabbagh, Rawaa Dawoud Raja Abdullah, Raja Syamsul Azmir Hashim, Fazirulhisyam |
| author_facet | Al-Dabbagh, Mohanad Dawood Al-Dabbagh, Rawaa Dawoud Raja Abdullah, Raja Syamsul Azmir Hashim, Fazirulhisyam |
| author_sort | Al-Dabbagh, Mohanad Dawood |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T10:03:20Z |
| format | Article |
| id | upm-43526 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:03:20Z |
| publishDate | 2015 |
| publisher | Taylor & Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-435262016-09-29T04:40:46Z http://psasir.upm.edu.my/id/eprint/43526/ A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising Al-Dabbagh, Mohanad Dawood Al-Dabbagh, Rawaa Dawoud Raja Abdullah, Raja Syamsul Azmir Hashim, Fazirulhisyam 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. Taylor & Francis 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43526/1/A%20new%20modified%20differential%20evolution%20algorithm%20scheme.pdf 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 10.1080/0305215X.2014.927449 |
| spellingShingle | Al-Dabbagh, Mohanad Dawood Al-Dabbagh, Rawaa Dawoud Raja Abdullah, Raja Syamsul Azmir Hashim, Fazirulhisyam A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising |
| title | A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising |
| title_full | A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising |
| title_fullStr | A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising |
| title_full_unstemmed | A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising |
| title_short | A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising |
| title_sort | new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising |
| url | http://psasir.upm.edu.my/id/eprint/43526/ http://psasir.upm.edu.my/id/eprint/43526/ http://psasir.upm.edu.my/id/eprint/43526/1/A%20new%20modified%20differential%20evolution%20algorithm%20scheme.pdf |