Type of Document Dissertation Author Tsai, Jiann-An Author's Email Address firstname.lastname@example.org URN etd-05032002-000335 Title Combined Space-Time Diversity and Interference Cancellation for MIMO Wireless Systems Degree PhD Department Electrical and Computer Engineering Advisory Committee
Advisor Name Title Woerner, Brian D. Committee Chair Buehrer, Richard Michael Committee Co-Chair Reed, Jeffrey Hugh Committee Member Shaw, John Kenneth Committee Member Stutzman, Warren L. Committee Member Keywords
- Space-Time Diversity
- Adaptive Antenna Arrays
- Interference Cancellation
- Wireless Communications
Date of Defense 2002-05-02 Availability unrestricted AbstractThere is increasing interest in the exploitation of multiple-input and multiple-output (MIMO) channels to enhance the capacity of wireless systems.
In this study, we develop and evaluate a channel model, evaluate the corresponding channel capacity, and design and analyze a simple orthogonal transmit waveform for MIMO channels in mobile radio environments.
We also evaluate the system performance of various interference cancellation techniques when employing multiple-receive antenna in interference-limited systems.
The first part of this dissertation presents two major contributions to MIMO systems.
The analytical expression for space-time MIMO channel correlation is derived for a Rayleigh fading channel. The information-theoretic channel capacity based on this correlation is also evaluated for a wide variety of mobile radio channels.
The second part of this dissertation presents two major contributions to the area of orthogonal waveform design. We analyze the bit-error-rate (BER) performance of a proposed space-time orthogonal waveform for MIMO mobile radio communications.
The application of the proposed space-time orthogonal waveform to a conventional cellular system is also evaluated and briefly discussed.
Finally, this dissertation investigates a number of interference cancellation techniques for multiple-receive antenna systems. Both adaptive beamforming and multiuser detection are evaluated for various signal waveforms over a variety of mobile radio channels.
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