Time-frequency represetation of radar signals using Doppler-lag block searching Wigner-Ville distribution

Radar signals are time-varying signals where the signal parameters change over time. For these signals, Quadratic Time-Frequency Distribution (QTFD) offers advantages over classical spectrum estimation in terms of frequency and time resolution but it suffers heavily from cross-terms. In generating a...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Hamdi, M. N. M., Sha'Ameri, A. Z.
التنسيق: مقال
اللغة:English
منشور في: VSB-Technical University of Ostrava 2018
الموضوعات:
الوصول للمادة أونلاين:http://eprints.utm.my/id/eprint/79881/1/MuhammadNoorHamdi2018_TimeFrequencyRepresetationofRadarSignals.pdf
http://eprints.utm.my/id/eprint/79881/
http://dx.doi.org/10.15598/aeee.v16i3.2633
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id my.utm.79881
record_format eprints
spelling my.utm.798812019-01-28T06:58:40Z http://eprints.utm.my/id/eprint/79881/ Time-frequency represetation of radar signals using Doppler-lag block searching Wigner-Ville distribution Hamdi, M. N. M. Sha'Ameri, A. Z. TK Electrical engineering. Electronics Nuclear engineering Radar signals are time-varying signals where the signal parameters change over time. For these signals, Quadratic Time-Frequency Distribution (QTFD) offers advantages over classical spectrum estimation in terms of frequency and time resolution but it suffers heavily from cross-terms. In generating accurate Time-Frequency Representation (TFR), a kernel function must be able to suppress crossterms while maintaining auto-terms energy especially in a non-cooperative environment where the parameters of the actual signal are unknown. Thus, a new signaldependent QTFD is proposed that adaptively estimates the kernel parameters for a wide class of radar signals. The adaptive procedure, Doppler-Lag Block Searching (DLBS) kernel estimation was developed to serve this purpose. Accurate TFRs produced for all simulated radar signals with Instantaneous Frequency (IF) estimation performance are verified using Monte Carlo simulation meeting the requirements of the Cramer-Rao Lower Bound (CRLB) at SNR > 6 dB. VSB-Technical University of Ostrava 2018 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/79881/1/MuhammadNoorHamdi2018_TimeFrequencyRepresetationofRadarSignals.pdf Hamdi, M. N. M. and Sha'Ameri, A. Z. (2018) Time-frequency represetation of radar signals using Doppler-lag block searching Wigner-Ville distribution. Advances in Electrical and Electronic Engineering, 6 (3). pp. 318-313. ISSN 1336-1376 http://dx.doi.org/10.15598/aeee.v16i3.2633 DOI:10.15598/aeee.v16i3.2633
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Hamdi, M. N. M.
Sha'Ameri, A. Z.
Time-frequency represetation of radar signals using Doppler-lag block searching Wigner-Ville distribution
description Radar signals are time-varying signals where the signal parameters change over time. For these signals, Quadratic Time-Frequency Distribution (QTFD) offers advantages over classical spectrum estimation in terms of frequency and time resolution but it suffers heavily from cross-terms. In generating accurate Time-Frequency Representation (TFR), a kernel function must be able to suppress crossterms while maintaining auto-terms energy especially in a non-cooperative environment where the parameters of the actual signal are unknown. Thus, a new signaldependent QTFD is proposed that adaptively estimates the kernel parameters for a wide class of radar signals. The adaptive procedure, Doppler-Lag Block Searching (DLBS) kernel estimation was developed to serve this purpose. Accurate TFRs produced for all simulated radar signals with Instantaneous Frequency (IF) estimation performance are verified using Monte Carlo simulation meeting the requirements of the Cramer-Rao Lower Bound (CRLB) at SNR > 6 dB.
format Article
author Hamdi, M. N. M.
Sha'Ameri, A. Z.
author_facet Hamdi, M. N. M.
Sha'Ameri, A. Z.
author_sort Hamdi, M. N. M.
title Time-frequency represetation of radar signals using Doppler-lag block searching Wigner-Ville distribution
title_short Time-frequency represetation of radar signals using Doppler-lag block searching Wigner-Ville distribution
title_full Time-frequency represetation of radar signals using Doppler-lag block searching Wigner-Ville distribution
title_fullStr Time-frequency represetation of radar signals using Doppler-lag block searching Wigner-Ville distribution
title_full_unstemmed Time-frequency represetation of radar signals using Doppler-lag block searching Wigner-Ville distribution
title_sort time-frequency represetation of radar signals using doppler-lag block searching wigner-ville distribution
publisher VSB-Technical University of Ostrava
publishDate 2018
url http://eprints.utm.my/id/eprint/79881/1/MuhammadNoorHamdi2018_TimeFrequencyRepresetationofRadarSignals.pdf
http://eprints.utm.my/id/eprint/79881/
http://dx.doi.org/10.15598/aeee.v16i3.2633
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