Beam patterns of an underwater acoustic vector hydrophone located away from any reflecting boundary

Wong, Kainam Thomas; Chu, Hoiming

doi:10.1109/joe.2002.1040945

Cited by 72 publications

(29 citation statements)

References 28 publications

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“…As described in [28] the presence of the pressure hydrophone is important in the setup due to the ambiguity that exists in which hemispherical side of the array that the signal arrives in (i.e. the top hemisphere or bottom).…”

Section: Geometrymentioning

confidence: 99%

“…As discussed in the section on geometry this thesis deals specifically with a vector sensor that has three orthogonally oriented accelerometers plus an omnidirectional hydrophone collocated in the sensor housing. As discussed in [28] there are four common constructions of a vector sensors as in its most general sense a vector sensor is composed of two or three spatially collocated but orthogonally oriented velocity sensors plus an optional collocated omni-directional hydrophone. This leads to three different configurations that we have not already discussed: three orthogonally oriented velocity sensors, two orthogonally and horizontally oriented velocity sensors and finally two orthogonally and horizontally oriented velocity sensors with a omnidirectional pressure hydrophone.…”

Section: Types Of Vector Sensorsmentioning

confidence: 99%

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Evaluation of vector sensors for adaptive equalization in underwater acoustic communication

Lewis¹

2014

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Underwater acoustic communication is an extremely complex field that faces many challenges due to the time-varying nature of the ocean environment. Vector sensors are a proven technology that when utilizing their directional sensing capabilities allows us to minimize the effect of interfering noise sources. A traditional pressure sensor array has been the standard for years but suffers at degraded signal to noise ratios (SNR) and requires maneuvers or a lengthly array aperture to direction find. This thesis explores the effect of utilizing a vector sensor array to steer to the direction of signal arrival and the effect it has on equalization of the signal at degraded SNRs. It was demonstrated that utilizing a single vector sensor we were able steer to the direction of arrival and improve the ability of an equalizer to determine the transmitted signal. This improvement was most prominent when the SNR was degraded to levels of 0 and 10 dB where the performance of the vector sensor outperformed that of the pressure sensor in nearly 100% of cases. Finally, this performance improvement occured with a savings in computational expense.

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Section: Geometrymentioning

confidence: 99%

Section: Types Of Vector Sensorsmentioning

confidence: 99%

Evaluation of vector sensors for adaptive equalization in underwater acoustic communication

Lewis¹

2014

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“…These methods are simple and easy, but their spatial resolution is limited by the array's physical aperture. To increase the resolution, the aperture of the array needs to be increased, which consequently increases the cost and difficulty of engineering applications [1][2][3] . To obtain high spatial resolution without increasing the physical size of the sonar array, the array aperture can be expanded by adopting a virtual array.…”

Section: Introductionmentioning

confidence: 99%

Underwater target detection based on fourth-order cumulant beamforming

Jia

Yang

2017

Proceedings of Meetings on Acoustics

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Underwater target detection based on fourth-order cumulant beamforming Xiukun Li, Hongjian Jia and Mei YangHarbin Engineering University, Harbin, Heilongjiang, 150001, CHINA; lixiukun@hrbeu.edu.cn; jiahongjian hrbeu@outlook.com; yhrbeu@163.com Due to the complicated influences of the sea environment, how to obtain target echo data with high SRR (Signal-to-Reverberation Ratio) (SNR: Signal-to-Noise Ratio) is the key issue for improving the capacity of underwater targets detection. Based on the array signal processing, this paper presents a robust and highresolution fourth-order cumulant beamforming method based on the characteristics of array aperture expansion of fourth order cumulant, and DOA (Direction of Arrival) estimation of target is achieved by forming a narrow spatial beam. For a wideband acoustic system, the fourth-order cumulant beamforming method is extended to the DOA estimation of wideband LFM signals, combined with fractional Fourier transform (FRFT). Reverberation and noise are filtered out in the FRFT domain to further improve the SRR and SNR of the target echo. Simulation and data processing results of active sonar target detection verify the effectiveness of the research methods.

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“…2,3 The acoustic particle-velocity sensor's various hardware implementations are discussed in Ref. 4.…”

Section: Introduction a The Acoustic Particle-velocity Sensormentioning

confidence: 99%

Azimuth-elevation direction finding using a microphone and three orthogonal velocity sensors as a non-collocated subarray

Song

Wong

2013

The Journal of the Acoustical Society of America

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An acoustic vector-sensor consists of three identical but orthogonally oriented acoustic particle-velocity sensors, plus a pressure sensor-all spatially collocated in a point-like geometry. At any point in space, this tri-axial acoustic vector-sensor can sample an acoustic wavefield as a 3 Â 1 vector, instead of simply as a scalar of pressure. This vector, after proper self-normalization, would indicate the incident wave-field's propagation direction, and thus the incident emitter's azimuth-elevation direction-of-arrival. This "self-normalization" direction-of-arrival estimator is predicated on the spatial-collocation among the three particle-velocity sensors and the pressure-sensor. This collocation constriction is relaxed here by this presently proposed idea, to realize a spatially distributed acoustic vector-sensor, allowing its four component-sensors to be separately located. This proposed scheme not only retains the algorithmic advantages of the aforementioned "self-normalization" direction-ofarrival estimator, but also will significantly extend the spatial aperture to improve the direction-finding accuracy by orders of magnitude.

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Beam patterns of an underwater acoustic vector hydrophone located away from any reflecting boundary

Cited by 72 publications

References 28 publications

Evaluation of vector sensors for adaptive equalization in underwater acoustic communication

Evaluation of vector sensors for adaptive equalization in underwater acoustic communication

Underwater target detection based on fourth-order cumulant beamforming

Azimuth-elevation direction finding using a microphone and three orthogonal velocity sensors as a non-collocated subarray

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