Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Al-Dabbagh, Mohanad Dawood Hasan, Raja Abdullah, Raja Syamsul Azmir, Al-Dabbagh, Rawaa Dawoud Hassan, Hashim, Fazirulhisyam
Format: Conference or Workshop Item
Language:English
Published: IEEE 2013
Online Access:http://psasir.upm.edu.my/id/eprint/69237/1/Differential%20evolution%20algorithm%20for%20linear%20frequency%20modulation%20radar%20signal%20denoising.pdf
http://psasir.upm.edu.my/id/eprint/69237/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.69237
record_format eprints
spelling my.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
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
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.
format Conference or Workshop Item
author Al-Dabbagh, Mohanad Dawood Hasan
Raja Abdullah, Raja Syamsul Azmir
Al-Dabbagh, Rawaa Dawoud Hassan
Hashim, Fazirulhisyam
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
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
title Differential evolution algorithm for linear frequency modulation radar signal denoising
title_short 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_sort differential evolution algorithm for linear frequency modulation radar signal denoising
publisher IEEE
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/69237/1/Differential%20evolution%20algorithm%20for%20linear%20frequency%20modulation%20radar%20signal%20denoising.pdf
http://psasir.upm.edu.my/id/eprint/69237/
_version_ 1643839435440128000
score 13.211869

Similar Items