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Wibowo, Sigit Basuki. Bragg peak detection using compatible mother wavelet on oceanographic HF radar signals. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2023.
Bragg peak detection using compatible mother wavelet on oceanographic HF radar signals
Name: Iswandi
Organization :
Universitas Gadjah Mada. Faculty of Engineering
Email :
iswandi@ugm.ac.id
Name: Hidayat, Risanuri
Organization :
Universitas Gadjah Mada. Faculty of Engineering
Email :
risanuri@ugm.ac.id
Name: Wibowo, Sigit Basuki
Organization :
Universitas Gadjah Mada. Faculty of Engineering
Email :
sigitbw@ugm.ac.id
keyword:
Discrete wavelet transform
;
HF radar
Abstract:
High-frequency surface wave radar (HFSWR)
has been proven as a long-range sensor for estimating the sea
state. The coupling between radar wave and dynamic sea
surface produces the Bragg components in the Doppler space
of received signals. These components contain the sea-state
information, which can be extracted by using an inversion
algorithm. However, the dense traffic and any natural
phenomena on the HF spectrum cause the received signal to
be mixed up with clutters and interference, sometimes
overlap in time, frequency, and Doppler domain. This
research considered the discrete wavelet transformation
(DWT) to decompose the radar signal and highlight the
Bragg peaks. The choice of mother wavelet highly influences
the wavelet. Thus, the scrutiny was initialized by selecting the
mother wavelet as reported in this paper. The results show
the 6-order Daubechies (db6) and 3-5 pairs of biorthogonal
(bior3.5) functions at level 3 of DWT can detect the proper
position of Bragg peaks
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2023
Modified:
2024-12-24
Issued:
2024-12-24
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computational Intelligence Society Thailand Chapter, King Mongkut's Institute of Technology Ladkrabang. School of Information Technology and Universitas Gadjah Mada. Department of Electrical Engineering and Information Technology. The 15th International Conference on Information Technology and Electrical Engineering (ICITEE 2023) (pp.327-332) Nonthaburi : IEEE Computational Intelligence Society Thailand Chapter, 2023
eng
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ใช้เวลา
0.030017 วินาที
Iswandi
| Title | Contributor | Type |
|---|---|---|
| Analysis of an edge slot waveguide antenna using a combined finite element and moment methods
จุฬาลงกรณ์มหาวิทยาลัย Iswandi | Tuptim Angkawe | วิทยานิพนธ์/Thesis |
| Bragg peak detection using compatible mother wavelet on oceanographic HF radar signals
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Iswandi;Hidayat, Risanuri;Wibowo, Sigit Basuki | บทความ/Article |
Hidayat, Risanuri
| Title | Contributor | Type |
|---|---|---|
| Bragg peak detection using compatible mother wavelet on oceanographic HF radar signals
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Iswandi;Hidayat, Risanuri;Wibowo, Sigit Basuki | บทความ/Article |
Wibowo, Sigit Basuki
| Title | Contributor | Type |
|---|---|---|
| Bragg peak detection using compatible mother wavelet on oceanographic HF radar signals
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Iswandi;Hidayat, Risanuri;Wibowo, Sigit Basuki | บทความ/Article |