Differential evolution algorithm for linear frequency modulation radar signal denoising
Signal denoising is directly related to sample estimation of received signals, either by estimating the equation parameters for the target reflections or the surrounding noise and clutter accompanying the data of interest. Radar signals recorded using analogue or digital devices are not immune to no...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/69237/1/Differential%20evolution%20algorithm%20for%20linear%20frequency%20modulation%20radar%20signal%20denoising.pdf |
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| author | Al-Dabbagh, Mohanad Dawood Hasan Raja Abdullah, Raja Syamsul Azmir Al-Dabbagh, Rawaa Dawoud Hassan Hashim, Fazirulhisyam |
| author_facet | Al-Dabbagh, Mohanad Dawood Hasan Raja Abdullah, Raja Syamsul Azmir Al-Dabbagh, Rawaa Dawoud Hassan Hashim, Fazirulhisyam |
| author_sort | Al-Dabbagh, Mohanad Dawood Hasan |
| collection | UPM |
| description | Signal denoising is directly related to sample estimation of received signals, either by estimating the equation parameters for the target reflections or the surrounding noise and clutter accompanying the data of interest. Radar signals recorded using analogue or digital devices are not immune to noise. Random or white noise with no coherency is mainly produced in the form of random electrons, and caused by heat, environment, and stray circuitry loses. These factors influence the output signal voltage, thus creating detectable noise. Differential Evolution (DE) is an effectual, competent, and robust optimisation method used to solve different problems in the engineering and scientific domains, such as in signal processing. This paper looks at the feasibility of using the differential evolution algorithm to estimate the linear frequency modulation received signal parameters for radar signal denoising. The results gave high target recognition and showed feasibility to denoise received signals. |
| first_indexed | 2024-03-06T10:01:05Z |
| format | Conference or Workshop Item |
| id | upm.eprints-69237 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:01:05Z |
| publishDate | 2013 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-692372019-06-12T07:38:18Z http://psasir.upm.edu.my/id/eprint/69237/ Differential evolution algorithm for linear frequency modulation radar signal denoising Al-Dabbagh, Mohanad Dawood Hasan Raja Abdullah, Raja Syamsul Azmir Al-Dabbagh, Rawaa Dawoud Hassan Hashim, Fazirulhisyam Signal denoising is directly related to sample estimation of received signals, either by estimating the equation parameters for the target reflections or the surrounding noise and clutter accompanying the data of interest. Radar signals recorded using analogue or digital devices are not immune to noise. Random or white noise with no coherency is mainly produced in the form of random electrons, and caused by heat, environment, and stray circuitry loses. These factors influence the output signal voltage, thus creating detectable noise. Differential Evolution (DE) is an effectual, competent, and robust optimisation method used to solve different problems in the engineering and scientific domains, such as in signal processing. This paper looks at the feasibility of using the differential evolution algorithm to estimate the linear frequency modulation received signal parameters for radar signal denoising. The results gave high target recognition and showed feasibility to denoise received signals. IEEE 2013 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69237/1/Differential%20evolution%20algorithm%20for%20linear%20frequency%20modulation%20radar%20signal%20denoising.pdf Al-Dabbagh, Mohanad Dawood Hasan and Raja Abdullah, Raja Syamsul Azmir and Al-Dabbagh, Rawaa Dawoud Hassan and Hashim, Fazirulhisyam (2013) Differential evolution algorithm for linear frequency modulation radar signal denoising. In: 2013 IEEE International RF and Microwave Conference (RFM2013), 9-11 Dec. 2013, Bayview Beach Resort Penang, Malaysia. (pp. 234-237). 10.1109/RFM.2013.6757256 |
| spellingShingle | Al-Dabbagh, Mohanad Dawood Hasan Raja Abdullah, Raja Syamsul Azmir Al-Dabbagh, Rawaa Dawoud Hassan Hashim, Fazirulhisyam Differential evolution algorithm for linear frequency modulation radar signal denoising |
| title | Differential evolution algorithm for linear frequency modulation radar signal denoising |
| title_full | Differential evolution algorithm for linear frequency modulation radar signal denoising |
| title_fullStr | Differential evolution algorithm for linear frequency modulation radar signal denoising |
| title_full_unstemmed | Differential evolution algorithm for linear frequency modulation radar signal denoising |
| title_short | Differential evolution algorithm for linear frequency modulation radar signal denoising |
| title_sort | differential evolution algorithm for linear frequency modulation radar signal denoising |
| url | http://psasir.upm.edu.my/id/eprint/69237/1/Differential%20evolution%20algorithm%20for%20linear%20frequency%20modulation%20radar%20signal%20denoising.pdf |
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