Date: April 29, 2009 (Wednesday)
Time: 11:00am-12:00pm
Place: 202 ECEC, NJIT

Abstract:

A vector sensor is capable of measuring important non-scalar components of the acoustic field such as the particle velocity, which cannot be obtained by a single scalar pressure sensor. In the past few decades, extensive research has been conducted on the theory and design of vector sensors. On the other hand, underwater acoustic communication systems have been relying on scalar sensors only, which measure the pressure of the acoustic field. By taking advantage of the vector components of the acoustic field, such as the particle velocity, the vector sensor can be used for detecting the transmitted data. In this dissertation, we develop the concept of data detection and equalization in underwater particle velocity channels using acoustic vector sensors. System equations for such a receiver are derived and channel equalization using these sensors is formulated. A multiuser system using vector sensors and space time block codes is also developed, which does not use spreading codes and bandwidth expansion.This is particularly important in bandlimited underwater channels.

With regard to channel models for particle velocity channels, it is notable that a vector sensor receives the signal through multiple paths. This introduces different levels of correlation in an array of vector sensors. Therefore, in this dissertation, we also develop a statistical framework for mathematical characterization of different types of correlations in acoustic vector sensor arrays. Exact and Closedform correlation expressions are derived which relate signal correlations to some key channel parameters such as mean angle of arrivals and angle spreads. Using these expressions one can calculate the correlations between the pressure and velocity channels of the sensors, in terms of element spacing and frequency separation. The derived closed-form parametric expressions for the signal correlations serve as useful tools to estimate some important physical parameters of the as well.

Committee Members:

Dr. Ali Abdi, Dissertation Advisor, Associate Professor, ECE Dept., NJIT
Dr. Alexander M. Haimovich, Professor, ECE Dept., NJIT
Dr. Hongya Ge, Associate Professor, ECE Dept., NJIT
Dr. Osvaldo Simeone, Assistant Professor, ECE Dept., NJIT
Dr. Aijun Song, Assistant Professor, Physical Ocean Science and Engineering, University of Delaware.

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Note: All MS thesis and PhD dissertation (proposal) defense are counted towards ECE791.