Experimental Demonstration of Underwater Acoustic Communication by Vector Sensors

Song, Aijun; Abdi, A.; Badiey, Mohsen; Hursky, Paul

doi:10.1109/joe.2011.2133050

Cited by 78 publications

(31 citation statements)

References 25 publications

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“…The AVS manifold is independent of source signal's frequency, which enhances its utility in wideband acoustic signal processing applications [1], including acoustic source detection [2], localization [1] and tracking [3], [4] in underwater, battlefield, and room acoustic environments [5], [6]. More recent AVS applications include speech enhancement for hands free communication, sound source localization in air, and detection of seismic activities.…”

Section: Introductionmentioning

confidence: 99%

A distributed particle filter for acoustic source tracking using an acoustic vector sensor network

Zhong

Mohammadi

Premkumar

et al. 2014

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

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Abstract-This letter presents a distributed particle filtering (PF) approach for wideband acoustic source tracking using an acoustic vector sensor (AVS) network. At each distributed AVS node of the AVS network, the unscented information PF (UIPF) provides local estimates of the source location. A distributed consensus algorithm, based on the first and second order statistics of the localized UIPF estimated states, then obtains the global position estimate for the overall AVS network. Since the UIPF inverts smaller order matrices, its computational complexity is significantly less as compared to its centralized counterpart. The performance of the proposed tracking algorithm is studied under both single source and multiple source tracking scenarios.Index Terms-Acoustic vector sensor, sensor network, particle filtering, multiple source tracking, unscented information filter.

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Section: Introductionmentioning

confidence: 99%

A distributed particle filter for acoustic source tracking using an acoustic vector sensor network

Zhong

Mohammadi

Premkumar

et al. 2014

2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

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“…Multi-path effect brings serious inter-symbol interferences to underwater acoustic communications [1,2] which is generally compensated by blind equalization algorithm [3,4] with no training sequences [5][6][7]. However because of the complex time-space variability and dynamic properties [8,9] inherent in underwater acoustic channels, a blind equalizer which can be successfully used in an underwater acoustic channel may be inefficient or even invalid in another channel, just as shown in [11,12].…”

Section: Introductionmentioning

confidence: 99%

Self-adjusting decision feedback equalizer for variational underwater acoustic channel environments

Luo

Liu

et al. 2014

J. of Syst. Eng. Electron.

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Aimed at the abominable influences to blind equalization algorithms caused by complex time-space variability existing in underwater acoustic channels, a new self-adjusting decision feedback equalization (DFE) algorithm adapting to different underwater acoustic channel environments is proposed by changing its central tap position. Besides, this new algorithm behaves faster convergence speed based on the analysis of equalizers' working rules, which is more suitable to implement communications in different unknown channels. Corresponding results and conclusions are validated by simulations and spot experiments.

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“…Researchers have extensively studied accelerometers in the fields of underwater communication [1] , target discrimination [2] , oil well logging [3−5] , and permanent reservoir monitoring [6−8] . An optical fiber accelerometer is very suitable for hostile environments because of its distinguished advantages, such as its immunity to electromagnetic interference, electrically passive sensing, capability to withstand high temperature and pressure, compared with a conventional electrical accelerometer.…”

mentioning

confidence: 99%

Robust 3-component optical fiber accelerometer for seismic monitoring

Jiang¹,

Zhang²,

Zhang³

et al. 2013

中国光学快报

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A robust cantilever-based push-pull 3-component (3-C) optical fiber accelerometer is proposed and experimentally demonstrated. Sensitivity and resonance frequency can be enhanced simultaneously by increasing the number of turns of an optical fiber without increasing the accelerometer size at the mass of a certain value. The calibration results show that axis sensitivity is 45 dB (re: 0 dB = 1 rad/g), with a fluctuation less than 0.9 dB in a frequency bandwidth of 10-450 Hz. The cross sensitivity is approximately 15 dB, with a fluctuation less than 1.2 dB in a frequency bandwidth of 10-450 Hz. The crosstalk reaches up to 30 dB. Fluctuation of the responses of the acceleration sensitivity of different components is less than 0.7 dB over a frequency bandwidth of 10 -450 Hz, which proves the good consistency of the 3-C optical fiber accelerometer. By usingan all-metal structure is expected to improve the reliability of the designed accelerometer for long-term use in harsh environments. These desirable features show that the proposed 3-C optical fiber accelerometer is satisfactory for seismic wave monitoringin oil and gas exploration.

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Experimental Demonstration of Underwater Acoustic Communication by Vector Sensors

Cited by 78 publications

References 25 publications

A distributed particle filter for acoustic source tracking using an acoustic vector sensor network

A distributed particle filter for acoustic source tracking using an acoustic vector sensor network

Self-adjusting decision feedback equalizer for variational underwater acoustic channel environments

Robust 3-component optical fiber accelerometer for seismic monitoring

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