Acoustic vector sensor beamforming reduces masking from underwater industrial noise during passive monitoring

Thode, Aaron; Kim, Katherine H.; Norman, Robert G.; Blackwell, Susanna B.; Greene, Charles R.

doi:10.1121/1.4946011

Cited by 12 publications

(14 citation statements)

References 17 publications

(19 reference statements)

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“…Using the directional component in sound inherent in particle motion vectors or the use of a hydrophone array to determine source direction are potential methods of separating transient signals from one another and also to separate them from noise (e.g. [ 182 , 183 ]). Given the lower probability of detecting rare and transient sounds [ 154 , 155 , 184 ], repeated surveys, multiple methods and longer-term observations are also key methods to improve species detections and quality of richness estimations…”

Section: Considerations For Using Acoustic Methods To Estimate Marinementioning

confidence: 99%

“…In addition, the instrumentation used to measure particle motion offers an alternative method to sound source localization that requires fewer individual sensors (compared with a hydrophone array) and may improve signal detection in noise (e.g. [ 182 , 183 ]). Understanding variations in particle motion, as detected by receptors, facilitates a better understanding of why changes occur.…”

Section: How To Listen Forward: Needs and Recommendations For Acoustimentioning

confidence: 99%

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Listening forward: approaching marine biodiversity assessments using acoustic methods

Mooney

Iorio

Lammers³

et al. 2020

R. Soc. open sci.

101

108

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Ecosystems and the communities they support are changing at alarmingly rapid rates. Tracking species diversity is vital to managing these stressed habitats. Yet, quantifying and monitoring biodiversity is often challenging, especially in ocean habitats. Given that many animals make sounds, these cues travel efficiently under water, and emerging technologies are increasingly cost-effective, passive acoustics (a long-standing ocean observation method) is now a potential means of quantifying and monitoring marine biodiversity. Properly applying acoustics for biodiversity assessments is vital. Our goal here is to provide a timely consideration of emerging methods using passive acoustics to measure marine biodiversity. We provide a summary of the brief history of using passive acoustics to assess marine biodiversity and community structure, a critical assessment of the challenges faced, and outline recommended practices and considerations for acoustic biodiversity measurements. We focused on temperate and tropical seas, where much of the acoustic biodiversity work has been conducted. Overall, we suggest a cautious approach to applying current acoustic indices to assess marine biodiversity. Key needs are preliminary data and sampling sufficiently to capture the patterns and variability of a habitat. Yet with new analytical tools including source separation and supervised machine learning, there is substantial promise in marine acoustic diversity assessment methods.

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Section: Considerations For Using Acoustic Methods To Estimate Marinementioning

confidence: 99%

Section: How To Listen Forward: Needs and Recommendations For Acoustimentioning

confidence: 99%

Listening forward: approaching marine biodiversity assessments using acoustic methods

Mooney

Iorio

Lammers³

et al. 2020

R. Soc. open sci.

101

108

View full text Add to dashboard Cite

show abstract

“…where W is the statistic weighted value of cross-spectrum. The only difference between CAIM and WCAIM is the statistic weighted value, that is, (10) and (11). The corresponding maximum value on the result curve is the source azimuth angle estimated value.…”

Section: Journal Of Sensorsmentioning

confidence: 99%

“…For several decades, AVSs have been ubiquitously applied in source direction of arrival (DOA) estimation and localization [6,7]. In recent years, AVSs have been increasingly extended to multiple research fields, such as feature extraction of underwater target signal [8], underwater target tracking [1], underwater acoustic communication [9,10], acoustic focusing and shielding [3,11], and geoacoustic inversion problem [12]. Therefore, experimental investigation of the AVS signal processing methods is very important in practical engineering applications.…”

Section: Introductionmentioning

confidence: 99%

Open-Lake Experimental Investigation of Azimuth Angle Estimation Using a Single Acoustic Vector Sensor

Zhao

Jiang

et al. 2018

Journal of Sensors

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Five well-known azimuth angle estimation methods using a single acoustic vector sensor (AVS) are investigated in open-lake experiments. A single AVS can measure both the acoustic pressure and acoustic particle velocity at a signal point in space and output multichannel signals. The azimuth angle of one source can be estimated by using a single AVS in a passive sonar system. Open-lake experiments are carried out to evaluate how these different techniques perform in estimating azimuth angle of a source. The AVS that was applied in these open-lake experiments is a two-dimensional accelerometer structure sensor. It consists of two identical uniaxial velocity sensors in orthogonal orientations, plus a pressure sensor—all in spatial collocation. These experimental results indicate that all these methods can effectively realize the azimuth angle estimation using only one AVS. The results presented in this paper reveal that AVS can be applied in a wider range of application in distributed underwater acoustic systems for passive detection, localization, classification, and so on.

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“…Therefore, only a single vector hydrophone can generate a directional beam pattern. A Directional Autonomous Seafloor Acoustic Recorder (DASAR) system consisting of several vector hydrophones has been reported [3]. By using a vector hydrophone, directional industrial noise is effectively suppressed, and weak marine mammal sounds can be successfully detected.…”

Section: Introductionmentioning

confidence: 99%

In-Depth Exploration of Signal Self-Cancellation Phenomenon to Achieve DOA Estimation of Underwater Acoustic Sources

2019

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In the ocean environment, the minimum variance distortionless response beamformer usually has the problem of signal self-cancellation, that is, the acoustic signal of interest is erroneously suppressed as interference. By exploring the useful information behind the signal self-cancellation phenomenon, a high-precision direction estimation method for underwater acoustic sources is proposed. First, a pseudo spatial power spectrum is obtained by performing unit circle mapping on the beam response in the direction interval. Second, the online calculation process is given for reducing the computational complexity. The computer simulation results show that the proposed algorithm can obtain satisfactory direction estimation accuracy under the conditions of low intensity of acoustic source, strong interference and noise, and less array snapshot data.

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Acoustic vector sensor beamforming reduces masking from underwater industrial noise during passive monitoring

Cited by 12 publications

References 17 publications

Listening forward: approaching marine biodiversity assessments using acoustic methods

Listening forward: approaching marine biodiversity assessments using acoustic methods

Open-Lake Experimental Investigation of Azimuth Angle Estimation Using a Single Acoustic Vector Sensor

In-Depth Exploration of Signal Self-Cancellation Phenomenon to Achieve DOA Estimation of Underwater Acoustic Sources

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