A theoretical and experimental investigation of low-frequency acoustic vector sensors

Silvia, Manuel T.; Richards, Roger T.

doi:10.1109/oceans.2002.1191918

Cited by 44 publications

(35 citation statements)

References 6 publications

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“…Two typical approaches widely used for acceleration-based DF in an AVS system are; acoustic intensity based and beamforming based techniques [2], [9]. In the following two sections, details of these two approaches are briefly presented.…”

Section: Df Techniquesmentioning

confidence: 99%

“…The vectors for acceleration and velocity are related through a = ∂v ∂t , and acceleration-based DF methods are widely used [2]. Since the AVS system in our simulations uses acceleration data, equations need to be modified by introducing J as a new parameter [2]:…”

Section: A Intensity-based (Ib) Techniquementioning

confidence: 99%

“…If beamforming is accomplished using the measurements of the three accelerometers used as sub-sensors and the pressure measurement of the hydrophone used as a phase reference, then this process is known as DIFAR (Directional Low-Frequency Analysis and Recording) [2]. The signal constructed upon beamforming is given by…”

Section: B Beamforming Techniquesmentioning

confidence: 99%

“…The measurement vector may possibly include acceleration or velocity information, depending on the type of the sensor. Scalar pressure data is used as the phase reference in almost all AVS devices, since direction estimation with these sensors lead to sign ambiguity [2]. Direction of arrival (DOA) information for the target can be estimated from this measurement vector.…”

Section: Introductionmentioning

confidence: 99%

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A comparative study on the performances of the DF techniques using a single acoustic vector sensor

Güneş

Güldoǧan

Bereketli

2014

2014 Oceans - St. John's

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Underwater acoustic vector sensors (AVS) are devices which can measure scalar pressure and three dimensional acceleration or particle velocity with only one sensor. Direction of an acoustic target can be estimated by these four measured scalar values. Techniques based on either closed-form expressions or beamforming can be carried out for direction finding by using the axial projections of the gradient vector of the pressure from the target. In this work, the performances of direction of arrival (DOA) estimation techniques for a single underwater AVS are analyzed in detail under the effects of various error sources such as imperfect projections and ambient noise.

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Section: Df Techniquesmentioning

confidence: 99%

Section: A Intensity-based (Ib) Techniquementioning

confidence: 99%

Section: B Beamforming Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A comparative study on the performances of the DF techniques using a single acoustic vector sensor

Güneş

Güldoǧan

Bereketli

2014

2014 Oceans - St. John's

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“…A vector sensor is a directional sensor that combines both a conventional pressure sensor (that can measure the scalar pressure field) as well as a particle velocity sensor capable of measuring the vectorial particle acceleration [1] or alternatively the particle velocity fields [2]. Combining the particle acceleration or velocity measurements with pressure, it is possible to estimate the intensity of the acoustic field, which in turn is related to the direction of the net acoustic energy propagation.…”

Section: Introductionmentioning

confidence: 99%

Modal beamforming for small circular arrays of particle velocity sensors

Gur

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-Vector sensors are directional receivers that measure the vectorial particle velocity associated with an acoustic wave rather than the scalar pressure. Therefore, arrays of vector sensors possess some desirable directional properties compared to conventional arrays of pressure sensors. In this paper, a modal beamformer for circular arrays of 1-D acoustic vectors sensors are presented. Arrays of both radially and circumferentially oriented vector sensors are considered. It is shown that the highly directional modes of the acoustic velocity field can be extracted from the sensor measurements using the spatial Fourier transform. These modes are weighted and combined to form narrow steerable beams. The highest order of mode that can be extracted is limited by the number of vector sensors utilized in the array. Theoretical analysis and numerical simulations indicate that the proposed modal beamformer attains the same directivity performance as that of circular pressure sensor array beamformers but outperforms them in terms of white noise gain. In addition, it uses half the number of sensors to achieve the same directivity performance of a circular vector sensor array modal beamformer reported previously in the literature. The proposed method is suitable for in-air and underwater low frequencies array processing applications.

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Using Aero-Acoustic Vector Sensor for Acoustic Measurement and Target Direction Finding

Cai

Dong

2013

Lecture Notes in Electrical Engineering

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A theoretical and experimental investigation of low-frequency acoustic vector sensors

Cited by 44 publications

References 6 publications

A comparative study on the performances of the DF techniques using a single acoustic vector sensor

A comparative study on the performances of the DF techniques using a single acoustic vector sensor

Modal beamforming for small circular arrays of particle velocity sensors

Using Aero-Acoustic Vector Sensor for Acoustic Measurement and Target Direction Finding

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