Development of diver detection and sensor integration for wharf surveillance software

Maeda, Fumitaka; Asada, Akira; Kuramoto, Kazuoki; Kurashige, Yoshinori; Nanri, Mitsuhiko; Kawashima, Yasumasa; Imai, R.; Hantani, Kazuhiro

doi:10.1109/ut.2007.370842

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…Coastal protection and in particular port security is a subject of growing interest in the active sonar system [1–6]. Recently, numerous papers have been published on the processing for divers detection in shallow water: the Doppler sensitive pulses design for diver detection [7, 8], tracking of divers [9, 10], analysis of diver signatures [11–13] and clutter suppression [14].…”

Section: Introductionmentioning

confidence: 99%

Clutter map detector for active diver detection sonar

Delyon

2020

IET Radar, Sonar & Navigation

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Section: Introductionmentioning

confidence: 99%

Clutter map detector for active diver detection sonar

Delyon

2020

IET Radar, Sonar & Navigation

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“…However, the following three problems need to be addressed in order to develop such a system: (1) the target has small target strength (TS); (2) there are many static objects in the surveillance area that have a large TS and many of Paper these are incorrectly detected as targets because of time fluctuations in their echoes; and (3) there are many noises and reverberations in the surveillance area, including ship noises and wake bubbles [1][2][3][4] .…”

Section: Introductionmentioning

confidence: 99%

Development of Underwater Low-speed Moving Target Detection Using Spatiotemporal Variance of Phase Difference for Port Surveillance Sonar

Maeda

Asada

Kuramoto

et al. 2010

J. Marine Acoust. Soc. Jpn.

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Abstract:For underwater port surveillance, it is important to develop a technique that can automatically detect slow-moving targets such as divers. It is difficult to detect such targets since their echoes are masked by undesirable signals such as random noises, reverberations, wake bubbles, echoes of static objects, and crosstalk noises generated by multibeam processing. To detect moving targets effectively, a signal processing method that can eliminate only these undesirable signals is required. However, conventional methods that deal with only signal amplitude cannot remove these undesirable signals easily since random temporal fluctuations of amplitudes are incorrectly identified as moving targets, leading to many false detections. We propose a new signal detection method that uses an interferometric technique that can effectively eliminate only the undesirable signals, and detect moving targets.The proposed method deals with temporal fluctuations of phase difference measured by the split-beam method independently from amplitude-based methods. The spatiotemporal fluctuation of phase difference is closely related to the movement of a target, and it is possible to detect moving targets effectively by evaluating the spatiotemporal variance of the phase difference. In this study, the authors developed an algorithm for the proposed target detection method. By applying the proposed method to experimental data, we have confirmed that it has high detection performance compared to conventional methods.Classification: Signal Processing and Miscellaneous (Observations, Measurements, etc.)

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Detecting small moving underwater objects using scanning sonar in waterside surveillance and complex security solutions

Wawrzyniak

Zaniewicz

2016

2016 17th International Radar Symposium (IRS)

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Development of diver detection and sensor integration for wharf surveillance software

Cited by 5 publications

References 3 publications

Clutter map detector for active diver detection sonar

Clutter map detector for active diver detection sonar

Development of Underwater Low-speed Moving Target Detection Using Spatiotemporal Variance of Phase Difference for Port Surveillance Sonar

Detecting small moving underwater objects using scanning sonar in waterside surveillance and complex security solutions

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