Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity

Goldhahn, Ryan; Braca, Paolo; LePage, Kevin D.; Willett, Peter; Maranò, Stefano; Matta, Vincenzo

doi:10.1109/icassp.2014.6853839

Cited by 5 publications

(8 citation statements)

References 16 publications

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“…The source level is set to 130 dB, and the ambient noise level is set to 50 dB, which is a typical value in the frequency band of 4000-7000 Hz, as Figure 6 shows. Both the glider and the AUV are mounted with a single hydrophone, and the signal energy [24,27] is used to detect the source. Assuming the distribution of the amplitude of the noise is Gaussian and the false alarm rate is set to P Fa = 10 −2 , the detection probability P D can be calculated based on the following equation [24]:…”

Section: Performance Of Signal Receivingmentioning

confidence: 99%

The Use of Underwater Gliders as Acoustic Sensing Platforms

Jiang

2019

Applied Sciences

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Underwater gliders travel through the ocean by buoyancy control, which makes their motion silent and involves low energy consumption. Due to those advantages, numerous studies on underwater acoustics have been carried out using gliders and different acoustic payloads have been developed. This paper aims to illustrate the use of gliders in underwater acoustic observation and target detection through experimental data from two sea trials. Firstly, the self-noise of the glider is analyzed to illustrate its feasibility as an underwater acoustic sensing platform. Then, the ambient noises collected by the glider from different depths are presented. By estimating the transmission loss, the signal receiving ability of the glider is assessed, and a simulation of target detection probability is performed to show the advantages of the glider over other underwater vehicles. Moreover, an adaptive line enhancement is presented to further reduce the influence of self-noise. Meanwhile, two hydrophones are mounted at both ends of the glider to form a simple array with a large aperture and low energy consumption. Thus, the target azimuth estimation is verified using broadband signals, and a simple scheme to distinguish the true angle from the port‒starboard ambiguity is presented. The results indicate that the glider does have advantages in long-term and large-scale underwater passive sensing.

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Section: Performance Of Signal Receivingmentioning

confidence: 99%

The Use of Underwater Gliders as Acoustic Sensing Platforms

Jiang

2019

Applied Sciences

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“…Numerical and/or closed-form acoustic propagation models [32]- [34] are then used to calculate the predicted P D . We borrow from [15] an acoustic model to predict the detection probability of the target in any position in the surveillance region, taking into account the relevant environmental acoustic effects. This will be key for enhancing the performance of the tracking algorithm, as well as for the path planning optimization proposed in [20].…”

Section: A Target Presence/absencementioning

confidence: 99%

“…multipath time spread, reverberation, bathymetry, sound speed, see further details in [13], [15], [19], [20].…”

Section: B Exercise Proud Manta 2012mentioning

confidence: 99%

“…In addition, in ASW systems based employing AUVs, receiving sensors have limited on board computational capabilities and therefore linear arrays with a conventional (rather than adaptive) beamformer are usually employed. In addition, horizontal line array receivers are cylindrically symmetric; they cannot discriminate if a detected echo comes from the port or from the starboard, i.e., they suffer from Port-Starboard (PS) ambiguity [13]- [15]. Thus ambiguous tracks may be produced by the on board tracker.…”

Section: Introductionmentioning

confidence: 99%

“…The nodes can also share locally collected information. For instance, solutions for the PS ambiguity in combination with the data association problem are provided in [13]- [15] where the assumption, that the target of interest is always assumed present, is made.…”

Section: Introductionmentioning

confidence: 99%

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Distributed Information Fusion in Multistatic Sensor Networks for Underwater Surveillance

et al. 2016

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Surveillance in Anti-Submarine Warfare (ASW) has traditionally been carried out by means of submarines or frigates with towed arrays. These techniques are manpower intensive. Alternative approaches have recently been suggested using distributed stationary and mobile sensors, such as Autonomous Underwater Vehicles (AUVs). In contrast with the use of standard assets, these small, low-power and mobile devices have limited processing and wireless communication capabilities. However, when deployed in a spatially separated network, these sensors can form an intelligent network achieving high performance with significant features of scalability, robustness and reliability. The Distributed InFormation FUSION (DIFFUSION) strategy, in which the local information is shared among sensors, is one of the key aspects of this intelligent network.In this paper we propose two DIFFUSION schemes, in which the information shared among sensors consists of i) contacts, generated by the local detection stage; and ii) tracks generated by the local tracking stage. In the first DIFFUSION scheme contacts are combined at each nodes using the optimal Bayesian tracking based on the random finite set (RFS) formulation. In the second DIFFUSION scheme tracks are combined using the track-to-track association/fusion (T2T) procedure, then a sequential decision based on the association events is exploited. A full validation of the DIFFUSION schemes is conducted by the NATO Science and Technology Organization -Centre for Maritime Research and Experimentation during the sea trials Exercise Proud Manta 2012-2013 using real data. Performance metrics of DIFFUSION and of local tracking/detection strategies are also evaluated in terms of Time-on-Target (TOT) and False Alarm Rate (FAR).We demonstrate the benefit of using DIFFUSION against the local non-cooperative strategies. In particular DIFFUSION improves the level of TOT (FAR) with respect to the local tracking/detection strategies. Specifically, the TOT is increased over 90 − 95% while the FAR is reduced of two order of magnitude. The problem of communication failures, data not available from the collaborative AUV during certain periods of time, is also investigated. The robustness of DIFFUSION with respect to these communication failures is demonstrated, and the related performance results are reported here. Specifically, with 75% of communication failures the TOT is over 90 − 95% with a relatively small increase of the FAR with respect to the case of perfect communication.Index Terms-Collaborative data fusion, antisubmarine warfare, multistatic active sonar, target tracking, underwater sensor networks, autonomous underwater vehicles, real-world experimentation 1530-437X (c)

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A kind of effectiveness of searching submarine for multiple Autonomous Underwater Vehicle cooperative systems

Liang

Zhang

et al. 2020

2020 3rd International Conference on Unmanned Systems (ICUS)

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Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity

Cited by 5 publications

References 16 publications

The Use of Underwater Gliders as Acoustic Sensing Platforms

The Use of Underwater Gliders as Acoustic Sensing Platforms

Distributed Information Fusion in Multistatic Sensor Networks for Underwater Surveillance

A kind of effectiveness of searching submarine for multiple Autonomous Underwater Vehicle cooperative systems

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