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Acoustic Particle Velocity

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Huseyin Hacihabiboğlu – 1st expert on this subject based on the ideXlab platform

  • Acoustic source separation using the short-time quaternion fourier transforms of Particle Velocity signals
    2016 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2016
    Co-Authors: Huseyin Hacihabiboğlu

    Abstract:

    Quaternion Fourier transforms (QFT) provide a powerful tool for the analysis of signals obtained from vector probes. Acoustic Particle Velocity is one such signal which can be measured with specially designed microphone arrays. This paper presents a time-frequency source separation method based on the short-time quaternion Fourier transform of Acoustic Particle Velocity signals and the k-plane clustering of the vector part of the resulting representation. Two example cases, one with a single and one with two interfering sources are presented.

  • ICASSP – Acoustic source separation using the short-time quaternion fourier transforms of Particle Velocity signals
    2016 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2016
    Co-Authors: Huseyin Hacihabiboğlu

    Abstract:

    Quaternion Fourier transforms (QFT) provide a powerful tool for the analysis of signals obtained from vector probes. Acoustic Particle Velocity is one such signal which can be measured with specially designed microphone arrays. This paper presents a time-frequency source separation method based on the short-time quaternion Fourier transform of Acoustic Particle Velocity signals and the k-plane clustering of the vector part of the resulting representation. Two example cases, one with a single and one with two interfering sources are presented.

Mohsen Badiey – 2nd expert on this subject based on the ideXlab platform

  • capacity and statistics of measured underwater Acoustic Particle Velocity channels
    Journal of the Acoustical Society of America, 2011
    Co-Authors: Chen Chen, A Abdi, Mohsen Badiey, Aijun Song, Paul Hursky

    Abstract:

    Acoustic Particle Velocity channels can be used for communication in underwater systems [A. Abdi and H. Guo, IEEE Trans. Wireless Communi. 8, 3326-3329, (2009)]. In this paper, the information (Shannon) capacity of underwater Acoustic Particle Velocity channels is studied using measured data. More specifically, the maximum achievable data rates of a compact vector sensor communication receiver and another communication receiver with spatially separated scalar sensors are compared. Some statistics of Particle Velocity channels such as amplitude distribution and power delay profile are investigated using measured data and proper models are suggested as well. The results are useful for design and simulation of vector sensor underwater communication systems in Particle Velocity channels.The work is supported in part by the National Science Foundation (NSF), Grant CCF-0830190.

  • delay and doppler spreads in underwater Acoustic Particle Velocity channels
    Journal of the Acoustical Society of America, 2011
    Co-Authors: A Abdi, Aijun Song, Mohsen Badiey

    Abstract:

    Signal processing and communication in Acoustic Particle Velocity channels using vector sensors are of interest in the underwater medium. Due to the presence of multiple propagation paths, a mobile receiver collects the signal with different delays and Doppler shifts. This introduces certain delay and Doppler spreads in Particle Velocity channels. In this paper, these channel spreads are characterized using the zero-crossing rates of channel responses in frequency and time domain. Useful expressions for delay and Doppler spreads are derived in terms of the key channel parameters mean angle of arrival and angle spread. These results are needed for design and performance prediction of systems that utilize underwater Acoustic Particle Velocity and pressure channels.

  • an overview of underwater Acoustic communication via Particle Velocity channels channel modeling and transceiver design
    Journal of the Acoustical Society of America, 2010
    Co-Authors: A Abdi, Aijun Song, Mohsen Badiey

    Abstract:

    Over the past few decades, the scalar component of the Acoustic field, i.e., the pressure channel, has been extensively used for underwater Acoustic communication. In recent years, vector components of the Acoustic field, such as the three components of Acoustic Particle Velocity, are suggested for underwater communication. Consequently, one can use vector sensors for underwater communication. The small size of vector sensor arrays is an advantage, compared to pressure sensor arrays commonly used in underwater Acoustic communication. This is because Velocity channels can be measured at a single point in space. So, each vector sensor serves as a multichannel device. This is particularly useful for compact underwater platforms, such as autonomous underwater vehicles (AUVs). Funded by the National Science Foundation, our research efforts focus on the research problems in two closely-related categories: channel modeling and transceiver design. Channel modeling research aims at characterization of those aspects of Acoustic Particle Velocity channels such as delay and Doppler spread, transmission loss, etc., which determine the communication system performance. Transceiver design addresses optimal use of vector sensors and Particle Velocity for data modulation and demodulation, equalization, synchronization, coding, etc. (work supported by NSF).

A Abdi – 3rd expert on this subject based on the ideXlab platform

  • a study of characteristics of underwater Acoustic Particle Velocity channels measured by Acoustic vector sensors
    Journal of the Acoustical Society of America, 2017
    Co-Authors: Erjian Zhang, A Abdi

    Abstract:

    Acoustic vector sensors measure orthogonal components of Acoustic Particle Velocity. When used in underwater communication systems, they act as multichannel receivers. One advantage of a vector receiver, compared to an array of spatially-separated scalar receivers such as hydrophones, is its compact size. Some characteristics of Particle Velocity channels are studied theoretically or via simulations (A. Abdi and H. Guo, “Signal correlation modeling in Acoustic vector sensor arrays,” IEEE Transactions on Signal Processing, vol. 57, pp. 892-903, 2009; H. Guo, et al., “Delay and Doppler spreads in underwater Acoustic Particle Velocity channels,” J. Acoust. Soc. Am., vol. 129, pp. 2015-2025, 2011). In this paper, we use data measured by a vector sensor to study various key characteristics of underwater Particle Velocity channels, including delay spreads, signal-to-noise ratios, and possible correlations among different channels. By inspecting the eigen structure of channel matrices, we also investigate how va…

  • On the capacity of underwater Acoustic Particle Velocity communication channels
    2012 Oceans, 2012
    Co-Authors: A Abdi

    Abstract:

    In this paper, the capacity of Acoustic Particle Velocity channels is investigated. Closed form expressions are derived that determine maximum data rates in Particle Velocity channels, in terms of mean angle of arrival and angle spread. These expressions are useful for designing communication systems that operate in Particle Velocity channels.

  • capacity and statistics of measured underwater Acoustic Particle Velocity channels
    Journal of the Acoustical Society of America, 2011
    Co-Authors: Chen Chen, A Abdi, Mohsen Badiey, Aijun Song, Paul Hursky

    Abstract:

    Acoustic Particle Velocity channels can be used for communication in underwater systems [A. Abdi and H. Guo, IEEE Trans. Wireless Communi. 8, 3326-3329, (2009)]. In this paper, the information (Shannon) capacity of underwater Acoustic Particle Velocity channels is studied using measured data. More specifically, the maximum achievable data rates of a compact vector sensor communication receiver and another communication receiver with spatially separated scalar sensors are compared. Some statistics of Particle Velocity channels such as amplitude distribution and power delay profile are investigated using measured data and proper models are suggested as well. The results are useful for design and simulation of vector sensor underwater communication systems in Particle Velocity channels.The work is supported in part by the National Science Foundation (NSF), Grant CCF-0830190.