Stealthy Information Transmission in the Terrestrial GMDSS Radiotelephone Communication

• Autorzy: Shishkin A. V. , Koshevoy V. M.

Identyfikatory

DOI

10.12716/1001.07.04.09

• Języki publikacji: EN

Abstrakty

EN

Audio watermarking (AW) technology is considered for stealthy information embedding directly into audio signal. Inherent in analog radiotelephone channel interferences against watermarks are analyzed. Robust encoding/decoding algorithms are presented and appropriate project of AW system named as Automatic Radio Telephone Identification System (ARTIS) is proposed. Experimental results for the practical VHF radio channel are presented. Relating on processing complexity the designed system enables imperceptibly transmit data on a rate up to 260 bit/sec in the standard VHF radio channel. ARTIS provides the full compatibility with the existing radio installation, and doesn’t require replacement of standard VHF transceivers and operational procedures. Besides, automatic identification the system may be used in the special applications, for example, under the threat of terrorist attack; generally contributes to navigation safety and information security.

Słowa kluczowe

EN

Global Maritime Distress and Safety System (GMDSS) Audio Watermarking (AW); Automatic Radio Telephone Identification System (ARTIS) Very High Frequency (VHF); Terrestrial GMDSS Radiotelephone Communication Radiocommunication; Intersymbol Interference (ISI); orthogonal frequency division multiplexing; OFDM

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2013
• Tom: Vol. 7, no. 4
• Strony: 541--548
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Shishkin A. V.

• Odessa National Maritime Academy, Ukraine

autor

Koshevoy V. M.

• Odessa National Maritime Academy, Ukraine

Bibliografia

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• [9] Hofbauer, K. et al. “Speech watermarking for analog flatfading bandpass channels”, IEEE Transactions on Audio, Speech, and Language Processing, 2009, Vol.17, No. 8, pp. 1624 – 1637.
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