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Steganographic sonar.

Park, Joonho Daniel.

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Steganographic sonar.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Steganographic sonar./
作者:	Park, Joonho Daniel.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	115 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Contained By:	Dissertation Abstracts International78-08B(E).
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10583750
ISBN:	9781369625929

Steganographic sonar.
Park, Joonho Daniel.

Steganographic sonar. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 115 p.

Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.

Thesis (Ph.D.)--The Pennsylvania State University, 2016.

Steganographic transmission waveforms are desirable for many underwater applications such as underwater acoustic communications, surveillance, detection, and tracking. In the context of active sonar tracking, an overall approach is presented that covers many topics including background sound modeling, steganographic security assessment of transmission waveform, target motion modeling, and batch track detection. Under shallow water environment background sound dominated by snapping shrimps, the presented approach shows feasibility of steganographic sonar for target track detection.

ISBN: 9781369625929Subjects--Topical Terms:

649834
Electrical engineering.

Steganographic sonar.
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520 $a Steganographic transmission waveforms are desirable for many underwater applications such as underwater acoustic communications, surveillance, detection, and tracking. In the context of active sonar tracking, an overall approach is presented that covers many topics including background sound modeling, steganographic security assessment of transmission waveform, target motion modeling, and batch track detection. Under shallow water environment background sound dominated by snapping shrimps, the presented approach shows feasibility of steganographic sonar for target track detection.
520 $a A background sound modeling approach is presented that utilizes symbolic time series analysis with phase space representation and clustering of time series segments. The time evolving characteristics are captured with the hidden Markov model (HMM). The steganographic security of the transmission waveform can be assessed by measuring the Kullback-Leibler divergence (KLD) between the cover model and the stego model.
520 $a Conventional tracking approaches fail to perform reliably, and existing track-before-detect approaches also fail due to overwhelming search computation when they use simplistic short timescale motion models. A long timescale target motion model with considerations for plausibility is presented and utilized in a batch track detection approach. A Monte Carlo-based simulation was performed to find the scenarios that demonstrate feasibility of steganographic sonar in a shallow water environment with snapping shrimp sound.
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