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dc.contributor.authorZhang, Zhan.en_US
dc.date.accessioned2014-10-21T12:38:42Z
dc.date.available2004
dc.date.issued2004en_US
dc.identifier.otherAAINQ89102en_US
dc.identifier.urihttp://hdl.handle.net/10222/54598
dc.descriptionThis dissertation is concerned with the use of multiple antennas in advanced wireless communication systems. In particular, investigations are focused on the equalization approaches for the multiple-input and multiple-output (MIMO) finite impulse response (FIR) fading channels. New transceiver strategies are derived and compared to existing ones using theoretical derivations and simulation results.en_US
dc.descriptionTwo major challenges in developing wireless networks are bandwidth efficiency and the system resilience to channel distortions. By transmitting multiple signal streams simultaneously in the same frequency band via the multiple spatial subchannels, a MIMO transceiver can significantly increase bandwidth utilization over that of the conventional single-input single-output (SISO) transceiver. In general, multi-antenna techniques (i) will enable high data rate services in band-limited systems; or (ii) will provide increased fading resistance in power-limited systems. In this dissertation, we deal with both kinds of MIMO systems which are referred to as spatial multiplexing and space-time coded systems, respectively.en_US
dc.descriptionThe dissertation introduces three equalization schemes which operate in one of the two modes: the training-aided and the blind. The first frequency domain scheme with the single carrier signaling achieves MIMO spatial multiplexing. It offers the advantage of reduced constraints on the power amplifier linearity over MIMO orthogonal frequency division multiplexing (OFDM) while offering a comparable performance. The second scheme is applicable to unitary differential space-time modulations. It can operate blindly with quasi-static time-varying channels where channel estimation is costly. The third scheme combats intersymbol-interference (ISI) with a new space-time modulation. It has the feature that, by delegating the signal processing to the transmitter, the ISI mitigation at the receiver is simplified dramatically. Therefore, the receiver algorithm is computationally efficient, which is favorable for forward-link communications.en_US
dc.descriptionThe simulation results demonstrate the robust performance of the developed schemes. In particular, the influence of different system parameters, such as the number of transmit and receive antennas, frame length, as well as the different maximum channel lengths, on the BER performance are documented. With the contribution of the three new MIMO equalization schemes, this dissertation demonstrates how the space dimension, in addition to time and frequency, can be taken into account when exploring the MIMO signal structure for channel equalization using algebraic methods of signal processing. (Abstract shortened by UMI.)en_US
dc.descriptionThesis (Ph.D.)--Dalhousie University (Canada), 2004.en_US
dc.languageengen_US
dc.publisherDalhousie Universityen_US
dc.publisheren_US
dc.subjectEngineering, Electronics and Electrical.en_US
dc.titleDeterministic channel equalization for spatial multiplexing and space-time coded transmissions.en_US
dc.typetexten_US
dc.contributor.degreePh.D.en_US
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