Sea state determination using normalized experimental one – Dimensional radar signatures at X – Band and fractal techniques

G. Pouraimis; A. Kotopoulis; N. Ampilova; I. Soloviev; E. Kallitsis; P. Frangos

Sea state determination using normalized experimental one – Dimensional radar signatures at X – Band and fractal techniques

G. Pouraimis, A. Kotopoulis, N. Ampilova, I. Soloviev, E. Kallitsis, P. Frangos

Кафедра информатики

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

Аннотация

This paper presents a novel method of sea state characterization using the ‘Variance σ 2 ’ and ‘Fractal Dimension - FD’ criteria which
are applied to experimental Synthetic Aperture Radar (SAR) one – dimensional signatures (range profiles) in frequency domain. The
above approaches are applicable to normalized mean of backscattered signal from sea surface. This analysis is performed by using
real recorded sea clutter radar data which provided to our research group by SET 215 Working Group on ‘SAR radar techniques’.
The Fractal Dimension criterion uses the ‘blanket’ technique providing sea state characterization from SAR radar range profiles. This
method is based on the calculation of the area of a ‘blanket’, of normalized mean of range profile spectrum. The main idea concern-
ing both ‘Variance’ and ‘Fractal Dimension’ proposed techniques is the fact that SAR radar range profiles corresponding to different
sea states yield different values of variance and fractal dimension, namely ‘turbulent sea’ yields range profiles with larger variance in
time and frequency domain and larger fractal dimension of signal spectrum because of the more ‘anomalous behavior’ of the range
profiles in those cases. As a result, two sea state characterization techniques for two different sea states (turbulent and calm sea)
are presented in this paper.

Язык оригинала	английский
Название основной публикации	Proceedings of 14th International Conference on Communications, Electromagnetic and Medical Applications (CEMA ...)
Редакторы	Dimiter Tz. Dimitrov
Место публикации	Sofia
Издатель	Софийский технический университет
Страницы	27-31
Число страниц	5
Том	2019-October
Состояние	Опубликовано - 17 окт 2019
Событие	14TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, ELECTROMAGNETICS AND MEDICAL APPLICATIONS - София, Болгария Продолжительность: 17 окт 2019 → 19 окт 2019

Серия публикаций

Название	Communication, Electromagnetics and Medical Application
ISSN (печатное издание)	1314-2100

конференция

конференция	14TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, ELECTROMAGNETICS AND MEDICAL APPLICATIONS
Сокращенный заголовок	CEMA’19
Страна	Болгария
Город	София
Период	17/10/19 → 19/10/19

Предметные области Scopus

Компьютерные науки (все)
Математика (все)
Физика и астрономия (все)

Ключевые слова

fractal dimension
‘blanket’ technique
backscattered signal
dimensional signature
sea state characterization

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Цитировать

Pouraimis, G., Kotopoulis, A., Ampilova, N., Soloviev, I., Kallitsis, E., & Frangos, P. (2019). Sea state determination using normalized experimental one – Dimensional radar signatures at X – Band and fractal techniques. В D. T. Dimitrov (Ред.), Proceedings of 14th International Conference on Communications, Electromagnetic and Medical Applications (CEMA ...) (Том 2019-October, стр. 27-31). (Communication, Electromagnetics and Medical Application). Софийский технический университет.

Pouraimis, G. ; Kotopoulis, A. ; Ampilova, N. ; Soloviev, I. ; Kallitsis, E. ; Frangos, P. / Sea state determination using normalized experimental one – Dimensional radar signatures at X – Band and fractal techniques. Proceedings of 14th International Conference on Communications, Electromagnetic and Medical Applications (CEMA ...). редактор / Dimiter Tz. Dimitrov. Том 2019-October Sofia : Софийский технический университет, 2019. стр. 27-31 (Communication, Electromagnetics and Medical Application).

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abstract = "This paper presents a novel method of sea state characterization using the {\textquoteleft}Variance σ2{\textquoteright} and {\textquoteleft}Fractal Dimension - FD{\textquoteright} criteria which are applied to experimental Synthetic Aperture Radar (SAR) one – dimensional signatures (range profiles) in frequency domain. The above approaches are applicable to normalized mean of backscattered signal from sea surface. This analysis is performed by using real recorded sea clutter radar data which provided to our research group by SET 215 Working Group on {\textquoteleft}SAR radar techniques{\textquoteright}. The Fractal Dimension criterion uses the {\textquoteleft}blanket{\textquoteright} technique providing sea state characterization from SAR radar range profiles. This method is based on the calculation of the area of a {\textquoteleft}blanket{\textquoteright}, of normalized mean of range profile spectrum. The main idea concerning both {\textquoteleft}Variance{\textquoteright} and {\textquoteleft}Fractal Dimension{\textquoteright} proposed techniques is the fact that SAR radar range profiles corresponding to different sea states yield different values of variance and fractal dimension, namely {\textquoteleft}turbulent sea{\textquoteright} yields range profiles with larger variance in time and frequency domain and larger fractal dimension of signal spectrum because of the more {\textquoteleft}anomalous behavior{\textquoteright} of the range profiles in those cases. As a result, two sea state characterization techniques for two different sea states (turbulent and calm sea) are presented in this paper.",

keywords = "fractal dimension, {\textquoteleft}blanket{\textquoteright} technique, backscattered signal, dimensional signature, sea state characterization",

author = "G. Pouraimis and A. Kotopoulis and N. Ampilova and I. Soloviev and E. Kallitsis and P. Frangos",

note = "Funding Information: Furthermore, the authors acknowledge the support by the {\textquoteleft}International Mobility Program{\textquoteright}, National Technical University of Athens (NTUA), Greece, which facilitated the scientific collaboration between the authors of this paper in the area of {\textquoteleft}fractal techniques{\textquoteright}.; 14TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, ELECTROMAGNETICS AND MEDICAL APPLICATIONS , CEMA{\textquoteright}19 ; Conference date: 17-10-2019 Through 19-10-2019",

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Pouraimis, G, Kotopoulis, A, Ampilova, N , Soloviev, I, Kallitsis, E & Frangos, P 2019, Sea state determination using normalized experimental one – Dimensional radar signatures at X – Band and fractal techniques. в DT Dimitrov (ред.), Proceedings of 14th International Conference on Communications, Electromagnetic and Medical Applications (CEMA ...). том. 2019-October, Communication, Electromagnetics and Medical Application, Софийский технический университет, Sofia, стр. 27-31, 14TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, ELECTROMAGNETICS AND MEDICAL APPLICATIONS , София, Болгария, 17/10/19.

Sea state determination using normalized experimental one – Dimensional radar signatures at X – Band and fractal techniques. / Pouraimis, G.; Kotopoulis, A.; Ampilova, N.; Soloviev, I.; Kallitsis, E.; Frangos, P.

Proceedings of 14th International Conference on Communications, Electromagnetic and Medical Applications (CEMA ...). ред. / Dimiter Tz. Dimitrov. Том 2019-October Sofia : Софийский технический университет, 2019. стр. 27-31 (Communication, Electromagnetics and Medical Application).

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

TY - GEN

T1 - Sea state determination using normalized experimental one – Dimensional radar signatures at X – Band and fractal techniques

AU - Pouraimis, G.

AU - Kotopoulis, A.

AU - Ampilova, N.

AU - Soloviev, I.

AU - Kallitsis, E.

AU - Frangos, P.

N1 - Funding Information: Furthermore, the authors acknowledge the support by the ‘International Mobility Program’, National Technical University of Athens (NTUA), Greece, which facilitated the scientific collaboration between the authors of this paper in the area of ‘fractal techniques’.

PY - 2019/10/17

Y1 - 2019/10/17

N2 - This paper presents a novel method of sea state characterization using the ‘Variance σ2’ and ‘Fractal Dimension - FD’ criteria which are applied to experimental Synthetic Aperture Radar (SAR) one – dimensional signatures (range profiles) in frequency domain. The above approaches are applicable to normalized mean of backscattered signal from sea surface. This analysis is performed by using real recorded sea clutter radar data which provided to our research group by SET 215 Working Group on ‘SAR radar techniques’. The Fractal Dimension criterion uses the ‘blanket’ technique providing sea state characterization from SAR radar range profiles. This method is based on the calculation of the area of a ‘blanket’, of normalized mean of range profile spectrum. The main idea concerning both ‘Variance’ and ‘Fractal Dimension’ proposed techniques is the fact that SAR radar range profiles corresponding to different sea states yield different values of variance and fractal dimension, namely ‘turbulent sea’ yields range profiles with larger variance in time and frequency domain and larger fractal dimension of signal spectrum because of the more ‘anomalous behavior’ of the range profiles in those cases. As a result, two sea state characterization techniques for two different sea states (turbulent and calm sea) are presented in this paper.

AB - This paper presents a novel method of sea state characterization using the ‘Variance σ2’ and ‘Fractal Dimension - FD’ criteria which are applied to experimental Synthetic Aperture Radar (SAR) one – dimensional signatures (range profiles) in frequency domain. The above approaches are applicable to normalized mean of backscattered signal from sea surface. This analysis is performed by using real recorded sea clutter radar data which provided to our research group by SET 215 Working Group on ‘SAR radar techniques’. The Fractal Dimension criterion uses the ‘blanket’ technique providing sea state characterization from SAR radar range profiles. This method is based on the calculation of the area of a ‘blanket’, of normalized mean of range profile spectrum. The main idea concerning both ‘Variance’ and ‘Fractal Dimension’ proposed techniques is the fact that SAR radar range profiles corresponding to different sea states yield different values of variance and fractal dimension, namely ‘turbulent sea’ yields range profiles with larger variance in time and frequency domain and larger fractal dimension of signal spectrum because of the more ‘anomalous behavior’ of the range profiles in those cases. As a result, two sea state characterization techniques for two different sea states (turbulent and calm sea) are presented in this paper.

KW - fractal dimension

KW - ‘blanket’ technique

KW - backscattered signal

KW - dimensional signature

KW - sea state characterization

UR - http://rcvt.tu-sofia.bg/CEMA/proceedings/CEMA_2019_proc.pdf

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M3 - Conference contribution

VL - 2019-October

T3 - Communication, Electromagnetics and Medical Application

SP - 27

EP - 31

BT - Proceedings of 14th International Conference on Communications, Electromagnetic and Medical Applications (CEMA ...)

A2 - Dimitrov, Dimiter Tz.

PB - Софийский технический университет

CY - Sofia

T2 - 14TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, ELECTROMAGNETICS AND MEDICAL APPLICATIONS

Y2 - 17 October 2019 through 19 October 2019

ER -

Pouraimis G, Kotopoulis A, Ampilova N , Soloviev I, Kallitsis E, Frangos P. Sea state determination using normalized experimental one – Dimensional radar signatures at X – Band and fractal techniques. В Dimitrov DT, редактор, Proceedings of 14th International Conference on Communications, Electromagnetic and Medical Applications (CEMA ...). Том 2019-October. Sofia: Софийский технический университет. 2019. стр. 27-31. (Communication, Electromagnetics and Medical Application).