2009
DOI: 10.1109/tsp.2009.2019174
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Circular Acoustic Vector-Sensor Array for Mode Beamforming

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Cited by 55 publications
(7 citation statements)
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“…In Torres et al (2012), the CH framework is employed in combination with time-frequency processing for robust source localisation in noisy and reverberant environments. The potential of CH beamforming for underwater acoustic systems has also been explored in Liu (2012), McIntyre et al (2015, and Zou and Nehorai (2009).…”
Section: A Underwater Sound-field Visualisation Techniquesmentioning
confidence: 99%
“…In Torres et al (2012), the CH framework is employed in combination with time-frequency processing for robust source localisation in noisy and reverberant environments. The potential of CH beamforming for underwater acoustic systems has also been explored in Liu (2012), McIntyre et al (2015, and Zou and Nehorai (2009).…”
Section: A Underwater Sound-field Visualisation Techniquesmentioning
confidence: 99%
“…Hence, when 1 þ 2r 2 g is negligible when compared with all other terms inside of the square bracket, sin 2 ð2/ L Þ sin 2 ð/ L Þ would dominate the periodic behavior of variance in Eq. (10). (viii) In Eq.…”
Section: The Actual Look Direction For Each Stochastic Realizatiomentioning
confidence: 99%
“…(9) and (16), as well as the corresponding variances analytically derived in Eqs. (10) and (17)-Monte Carlo simulations are performed using the following procedure: In each Monte Carlo trial (a) Realize the three statistically independent but identically distributed random scalars of g x , g y , g z , each…”
Section: B the Approximate Statistics Of Peak Polar Direction H Pmentioning
confidence: 99%
“…The simulation results show that DOA performance and array gain are independent of frequency, and mainly depend on the highest mode of sound field that can be excited by circular array. The array aperture of 26cm can accurately estimate the narrow-band sound source of 600Hz [9]. Professor Yang Desen of China developed two kinds of 8-element vector circular arrays for barrier conditions and free field environment, derived the preprocessing matrix of sound pressure and particle vibration velocity based on the sound field decomposition theory, and then constructed the covariance matrix of sound pressure and vibration velocity, and realized Angle estimation by applying various beamforming methods [10].…”
Section: Introductionmentioning
confidence: 99%