The Experts below are selected from a list of 1170 Experts worldwide ranked by ideXlab platform
Huseyin Hacihabiboğlu - One of the best experts on this subject based on the ideXlab platform.
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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), 2016Co-Authors: Huseyin HacihabiboğluAbstract: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.
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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), 2016Co-Authors: Huseyin HacihabiboğluAbstract: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 - One of the best experts on this subject based on the ideXlab platform.
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capacity and statistics of measured underwater Acoustic Particle Velocity channels
Journal of the Acoustical Society of America, 2011Co-Authors: Chen Chen, A Abdi, Aijun Song, Mohsen Badiey, Paul HurskyAbstract: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.
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delay and doppler spreads in underwater Acoustic Particle Velocity channels
Journal of the Acoustical Society of America, 2011Co-Authors: A Abdi, Aijun Song, Mohsen BadieyAbstract: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.
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an overview of underwater Acoustic communication via Particle Velocity channels channel modeling and transceiver design
Journal of the Acoustical Society of America, 2010Co-Authors: A Abdi, Aijun Song, Mohsen BadieyAbstract: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).
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Digital transmission via underwater Acoustic Particle Velocity channels
2010 44th Annual Conference on Information Sciences and Systems (CISS), 2010Co-Authors: Chen Chen, A Abdi, Aijun Song, Mohsen BadieyAbstract:Recent studies have shown that a compact underwater vector sensor receiver can perform as an array of scalar sensors. Here we propose a scheme to transmit data via underwater Particle Velocity channels using a dipole vector sensor. System equations are derived and simulations are presented. This demonstrates the possibility of digital transmission using a vector sensor.
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Characterization of delay and Doppler spreads of underwater Particle Velocity channels using zero crossing rates
2010 44th Annual Conference on Information Sciences and Systems (CISS), 2010Co-Authors: A Abdi, Aijun Song, Mohsen BadieyAbstract:Communication in Acoustic Particle Velocity channel using vector sensors is recently proposed for the underwater medium. Due to the presence of multiple propagation paths, a mobile receiver collects the transmitted signal with different delays and Doppler shifts. This introduces certain delay and Doppler spreads in Particle Velocity communication 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 arrivals and angle spreads. Closed-form expressions for the temporal correlations of underwater Acoustic Particle Velocity channels are presented as well. These results are needed for design and performance predication of communication systems in time-varying and frequency-selective underwater Particle Velocity channels.
A Abdi - One of the best experts on this subject based on the ideXlab platform.
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a study of characteristics of underwater Acoustic Particle Velocity channels measured by Acoustic vector sensors
Journal of the Acoustical Society of America, 2017Co-Authors: Erjian Zhang, A AbdiAbstract: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...
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On the capacity of underwater Acoustic Particle Velocity communication channels
2012 Oceans, 2012Co-Authors: A AbdiAbstract: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.
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capacity and statistics of measured underwater Acoustic Particle Velocity channels
Journal of the Acoustical Society of America, 2011Co-Authors: Chen Chen, A Abdi, Aijun Song, Mohsen Badiey, Paul HurskyAbstract: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.
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delay and doppler spreads in underwater Acoustic Particle Velocity channels
Journal of the Acoustical Society of America, 2011Co-Authors: A Abdi, Aijun Song, Mohsen BadieyAbstract: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.
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an overview of underwater Acoustic communication via Particle Velocity channels channel modeling and transceiver design
Journal of the Acoustical Society of America, 2010Co-Authors: A Abdi, Aijun Song, Mohsen BadieyAbstract: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).
Aijun Song - One of the best experts on this subject based on the ideXlab platform.
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capacity and statistics of measured underwater Acoustic Particle Velocity channels
Journal of the Acoustical Society of America, 2011Co-Authors: Chen Chen, A Abdi, Aijun Song, Mohsen Badiey, Paul HurskyAbstract: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.
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delay and doppler spreads in underwater Acoustic Particle Velocity channels
Journal of the Acoustical Society of America, 2011Co-Authors: A Abdi, Aijun Song, Mohsen BadieyAbstract: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.
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an overview of underwater Acoustic communication via Particle Velocity channels channel modeling and transceiver design
Journal of the Acoustical Society of America, 2010Co-Authors: A Abdi, Aijun Song, Mohsen BadieyAbstract: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).
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Digital transmission via underwater Acoustic Particle Velocity channels
2010 44th Annual Conference on Information Sciences and Systems (CISS), 2010Co-Authors: Chen Chen, A Abdi, Aijun Song, Mohsen BadieyAbstract:Recent studies have shown that a compact underwater vector sensor receiver can perform as an array of scalar sensors. Here we propose a scheme to transmit data via underwater Particle Velocity channels using a dipole vector sensor. System equations are derived and simulations are presented. This demonstrates the possibility of digital transmission using a vector sensor.
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Characterization of delay and Doppler spreads of underwater Particle Velocity channels using zero crossing rates
2010 44th Annual Conference on Information Sciences and Systems (CISS), 2010Co-Authors: A Abdi, Aijun Song, Mohsen BadieyAbstract:Communication in Acoustic Particle Velocity channel using vector sensors is recently proposed for the underwater medium. Due to the presence of multiple propagation paths, a mobile receiver collects the transmitted signal with different delays and Doppler shifts. This introduces certain delay and Doppler spreads in Particle Velocity communication 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 arrivals and angle spreads. Closed-form expressions for the temporal correlations of underwater Acoustic Particle Velocity channels are presented as well. These results are needed for design and performance predication of communication systems in time-varying and frequency-selective underwater Particle Velocity channels.
Kevin B Smith - One of the best experts on this subject based on the ideXlab platform.
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on the use of Acoustic Particle Velocity fields in adjoint based inversion
Journal of the Acoustical Society of America, 2006Co-Authors: Matthias Meyer, Jeanpierre Hermand, Kevin B SmithAbstract:Following the recent interest in the use of combined pressure and Particle motion sensors in underwater Acoustics and signal processing, some general aspects regarding the modeling and multipath phenomenology of Acoustic Particle Velocity fields in shallow water environments have been studied. In this paper we will address a number of issues associated with the incorporation of vector sensor data (pressure and Particle Velocity) into adjoint‐based inversion schemes. Specifically, we will discuss the ability of a semi‐automatic adjoint approach to compute the necessary gradient information without the need for an analytic model of the adjoint Particle Velocity field. Solutions to the forward propagation of Acoustic pressure are computed using an implicit finite‐difference parabolic equation solver while the Particle Velocity is calculated locally at each grid point. Some numerical examples of vector sensor inversion results are provided. [Work supported by Royal Netherlands Navy.]
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On the use of Acoustic Particle Velocity fields in adjoint‐based inversion
Journal of the Acoustical Society of America, 2006Co-Authors: Matthias Meyer, Jeanpierre Hermand, Kevin B SmithAbstract:Following the recent interest in the use of combined pressure and Particle motion sensors in underwater Acoustics and signal processing, some general aspects regarding the modeling and multipath phenomenology of Acoustic Particle Velocity fields in shallow water environments have been studied. In this paper we will address a number of issues associated with the incorporation of vector sensor data (pressure and Particle Velocity) into adjoint‐based inversion schemes. Specifically, we will discuss the ability of a semi‐automatic adjoint approach to compute the necessary gradient information without the need for an analytic model of the adjoint Particle Velocity field. Solutions to the forward propagation of Acoustic pressure are computed using an implicit finite‐difference parabolic equation solver while the Particle Velocity is calculated locally at each grid point. Some numerical examples of vector sensor inversion results are provided. [Work supported by Royal Netherlands Navy.]
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numerical studies of Acoustic Particle Velocity and Acoustic variability with a ssf pe model
2006Co-Authors: Kevin B SmithAbstract:Abstract : The calculation of underwater Acoustic pressure fields using numerical models has been at the core of numerous projects related to both sonar and environmental applications. This varies from simple sonar range-of-the-day predictions to the inversion of Acoustic data for determination of bottom ocean properties. Although great progress has been made with existing models that compute the Acoustic pressure field, much of the previous work has ignored other aspects of the propagation, such as the additional information available in the associated Acoustic Particle Velocity fields, and the impact of environmental uncertainty on sonar predictions. The goal of this 2-year project was to examine these issues and determine how they may be utilized to improve performance for a variety of applications.
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Numerical Studies of Acoustic Particle Velocity and Acoustic Variability with a SSF/PE Model
2006Co-Authors: Kevin B SmithAbstract:Abstract : The calculation of underwater Acoustic pressure fields using numerical models has been at the core of numerous projects related to both sonar and environmental applications. This varies from simple sonar range-of-the-day predictions to the inversion of Acoustic data for determination of bottom ocean properties. Although great progress has been made with existing models that compute the Acoustic pressure field, much of the previous work has ignored other aspects of the propagation, such as the additional information available in the associated Acoustic Particle Velocity fields, and the impact of environmental uncertainty on sonar predictions. The goal of this 2-year project was to examine these issues and determine how they may be utilized to improve performance for a variety of applications.
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numerical studies of Acoustic Particle Velocity Acoustic variability with a ssf pe model and 3 d effects of an improved 2 d Acoustic ray algorithm
2005Co-Authors: Kevin B SmithAbstract:Abstract : The calculation of underwater Acoustic pressure fields using numerical models has been at the core of numerous projects related to both sonar and environmental applications. This varies from simple sonar range-of-the-day predictions to the inversion of Acoustic data for determination of bottom ocean properties. Although great progress has been made with existing models that compute the Acoustic pressure field, much of the previous work has ignored other aspects of the propagation, such as the additional information available in the associated Acoustic Particle Velocity fields, the impact of environmental uncertainty on sonar predictions, and the effects of 3-D environmental variability. The goal of this 2-year project is to examine these issues and determine how they may be utilized to improve performance for a variety of applications.
