Clutter map detector for active diver detection sonar

Delyon, Guillaume

doi:10.1049/iet-rsn.2019.0147

Cited by 7 publications

(4 citation statements)

References 30 publications

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“…From the perspective of underwater operational applications, acoustic technology support needs to be provided covering rapid scanning of large and complex underwater scenes, screening out the ROI, determining whether the target is false or real, and further whether the target is static or dynamic. In particular, the dynamic target is usually the diver, whose movement trajectory needs to be tracked to ensure safety [13]. This means that fast automatic detection, multi-target continuous tracking, target identification, and target classification should be integrated into one system.…”

Section: Introductionmentioning

confidence: 99%

Experimental study of underwater operation scene with target perception framework

Gao

Ding

Yang

2023

Preprint

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This paper proposes a target perception framework to explore information on underwater operation scene, for assisting the operation and ensuring the safety of the diver. The framework adopts a layered processing mechanism including water column imaging, constant false alarm rate detection (CFAR) detection and local feature analysis. To simulate the underwater operation scene of the diver, experiments under three fields of view are designed: fixed view of the down-looking, fixed view of the front-looking, and mobile view of the side-looking. The experimental results show that the target perception framework can accurately distinguish false targets, static targets, and dynamic targets in the underwater operation scene, and obtain the motion trajectory of dynamic targets. Moreover, the approximate stereoscopic contour of the diver and bubble groups can be drawn by 3D reconstruction of underwater scene data.

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Section: Introductionmentioning

confidence: 99%

Experimental study of underwater operation scene with target perception framework

Gao

Ding

Yang

2023

Preprint

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“…Law enforcement agencies also use diver detection sonars to prevent illegal activities, such as smuggling and espionage. In the commercial sector, diver detection sonars are used to support underwater construction, oil and gas exploration, and scientific research [9].…”

Section: Introductionmentioning

confidence: 99%

Diver detection and tracking with different beamforming algorithms

Sevimli

2023

Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII

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Diver Detection Sonars (DDS) aim to detect the diver and tracking at the specific distance. At the side of signal processing case, there are bunch of beamforming algorithms to localize the target or diver in our case in the literature. In this paper, some beamforming algorithms are combined and compared via PSNR, time each other. Some algorithms show that the effect of sidelobes and reverberation are clearly decreased. Moreover, detection and tracking algorithms are applied to artificial sonar data created with a specific scenario for this purpose.

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“…The noise distribution [1,2] plays an important role in developing underwater signal processors. Traditional signal processors such as underwater localization [3][4][5][6][7][8][9][10][11][12][13], underwater tracking [9,14,15], sonar imaging [16][17][18][19][20][21][22][23][24][25][26][27], direction of arrival (DOA) estimation [28][29][30][31][32], and underwater acoustic communication (UAC) are mostly based on Gaussian noise, which can be supported by a central limit theorem. Besides, the Gaussian model is just determined by the first-order and second-order statistics [33].…”

Section: Introductionmentioning

confidence: 99%

A Viterbi Decoder under Class A Modeled Noise in Shallow Water

Wang

Fan

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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A traditional Viterbi decoder is primarily optimized for additive white Gaussian noise (AWGN). With the AWGN channel, it offers good decoding performance. However, the underwater acoustic communication (UAC) channel is extremely complicated. In addition to white noise, there are a variety of artificial and natural impulse noise that occur suddenly. The traditional Viterbi decoder cannot obtain the optimum performance under this case. In order to solve this problem, this paper introduces a novel Viterbi decoder with the impulsive noise, which is considered to be subjected to Middleton Class A distribution in shallow ocean. Since Middleton Class A noise is very complicated, a simplified model is first introduced. Then, the error analysis of simplified model under various parameters is discussed in detail. The analysis shows that the simplified one just leads to slight error. Hereafter, a novel Veterbi decoder using the simplified model is discussed. Compared to a traditional decoder, a preprocessing is just required. The performance of soft decision-based decoder in the Middleton Class A noise channel (MAIN) and AWGN are further compared. Based on our simulations, the new decoder can significantly improve the performance in comparison with conventional one, which further validates our presented method.

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Clutter map detector for active diver detection sonar

Cited by 7 publications

References 30 publications

Experimental study of underwater operation scene with target perception framework

Experimental study of underwater operation scene with target perception framework

Diver detection and tracking with different beamforming algorithms

A Viterbi Decoder under Class A Modeled Noise in Shallow Water

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