Loran-C Skywave Delay Detection using the ARMA Algorithm

Document type: Journal Articles
Article type: Original article
Peer reviewed: Yes
Full text:
Author(s): Abbas Mohammed, David Last
Title: Loran-C Skywave Delay Detection using the ARMA Algorithm
Journal: Electronics Letters
Year: 1998
Volume: 34
Issue: 17
Pagination: 1654-5
ISSN: 0013-5194
Publisher: IEEE
City: London
ISI number: 000075817400024
Organization: Blekinge Institute of Technology
Department: Dept. of Signal Processing (Institutionen för signalbehandling)
Dept. of Signal Processing S-372 25 Ronneby
+46 455 780 00
http://www.hk-r.se/isb/isb_en.html
Authors e-mail: abbas.mohammed@its.hk-r.se
Language: English
Abstract: The autoregressive moving average technique (ARMA) is applied to the problem of estimating the delay of Loran-C skywaves.
The performance of this technique is evaluated and compared with Fourier-based methods.
The simulation results show thatthe ARMA algorithm yields significantly greater estimation accuracy and that it can also operate successfully with very noisy signals.
Subject: Signal Processing\Active Noise and Vibration Control
Keywords: Loran-C Skywave, Delay Detection, ARMA Algorithm
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