Thesis (M. App. Sc.)--University of Adelaide, Dept. of Applied Mathematics, 1993? / Includes bibliographical references (leaves 92-93).

Thesis (M.S. in electrical engineering)--Washington State University, May 2010. / Title from PDF title page (viewed on July 23, 2010). "School of Electrical Engineering and Computer Science." Includes bibliographical references (p. 55-57).

<p>The design and analyses of Space-Time Block Codes (STBC) for both single antenna and two-antenna distributed relay channels are considered in this thesis. Due to the fact that the equivalent channel gains for two-phase relay channels are the product of two channel coefficients, many current STBC designs for Multiple Input Multiple Output (MIMO) channels cannot be implemented to distributed relay channels efficiently. The direct application of Orthogonal Space-Time Block Coding (OSTBC) for MIMO systems to distributed cooperative relay networks makes the equivalent channel matrix for maximum likelihood (ML) detection lose its orthogonality. Hence, a new design that makes the channel matrix be \textit{orthogonally distributed} (OD) for a suboptimal symbol-by-symbol detector (SBSD) is proposed in this thesis. With ODSTBC, an asymptotic symbol error probability (SEP) formula with SBSD is derived, showing the optimal diversity gain function for single antenna distributed relay channels $\frac{\ln^N\rho}{\rho^N}$ is achieved. In addition, two ODSTBC designs for the distributed relay networks are presented, which interestingly renders that SBSD is equivalent to the ML detector. The ODSTBC enjoys both optimal diversity function and low detection complexity. However, the symbol rate of ODSTBC is relatively low in order to maintain the orthogonal conditions. To address this problem, another Alamouti Based Toeplitz Space-Time Block Code (ABTSTBC) for two-antenna distributed relay channels is proposed. Both the code structure and the equivalent channel matrix has a block Toeplitz structure, whose blocks are the addition and product of two Alamouti matrices, respectively. With the linear SBSD, the optimal diversity function $\frac{\ln^N\rho}{\rho^{2N}}$ is achieved. At the same time, the advantages of low computational complexity and high symbol rate are maintained. Numerical results verify the diversity analyses and indicate competitive error performance to currently available distributed STBC designs with much lower complexity.</p> / Master of Applied Science (MASc)

The objective of this thesis is to formulate and solve the sensor placement problem for damage localization in a sensor network. A Bayesian estimation problem is formulated with the time-of-flight (ToF) measurements. In this model, ToF of lamb waves, which are generated and received by piezoelectric sensors, is the total time for each wave to be transmitted, reflected by the target, and received by the sensor. The ToF of the scattered lamb wave has characteristic information about the target location. By using the measurement model and prior information, the target location is estimated in a centralized sensor network with a Monte Carlo approach. Then we derive the Bayesian Fisher information matrix (B-FIM) and based on that posterior Cramer-Rao lower bound (PCRLB), which sets a limit on the mean squared error (MSE) of any Bayesian estimator. In addition, we develop an optimal sensor placement approach to achieve more accurate damage localization, which is based on minimizing the PCRLB. Simulation results show that the optimal sensor placement solutions lead to much lower estimation errors than some sub-optimal sensor placement solutions.

Thesis (Ph.D.)--University of Texas at Arlington, 2008.

Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, March 2003. / Thesis advisor(s): Monique P. Fargues. Includes bibliographical references (p. 105-106). Also available online.

Thesis (Ph. D.) -- California Institute of Technology, 2010. / Title from home page (viewed 03/03/2010). Advisor and committee chair names found in the thesis' metadata record in the digital repository. Includes bibliographical references.

Thesis (M.S. in Electrical Engineering)--Washington State University. / Includes bibliographical references.

Thesis (Ph. D.)--University of Texas at Austin, 1999. / Vita. Includes bibliographical references (leaves 158-161). Available also in a digital version from Dissertation Abstracts.

Thesis (M. Phil.)--University of Hong Kong, 1989.