A Study on Space-Time Coded Multiple Antenna Transmission System
碩士 === 國立臺灣大學 === 電信工程學研究所 === 89 === This thesis presents the theory and the conceptual architecture of a new advanced modem technology with multiple antenna transmission for high data rate wireless communications over the flat Rayleigh fading and dispersive block time invariant channels...
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Format: | Others |
Language: | en_US |
Published: |
2001
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Online Access: | http://ndltd.ncl.edu.tw/handle/83106373880696502693 |
Summary: | 碩士 === 國立臺灣大學 === 電信工程學研究所 === 89 === This thesis presents the theory and the conceptual architecture of a new advanced modem technology with multiple antenna transmission for high data rate wireless communications over the flat Rayleigh fading and dispersive block time invariant channels. The new technology is based on space-time coded modulation (STCM) using multiple transmit / multiple receive (optional) antennas with the aid of orthogonal sequences. The orthogonal sequences used in the different transmit antennas are exploited as the pilot sequences for channel estimation and equalization or as spreading sequences. The receiver uses the periodically pilot sequences to estimate the flat fading channel and interpolates the accurate channel state information with a properly designed Wiener filter under some given channel parameters. When STCM is operated in the propagation environment with large delay spreads (frequency selective channel condition), the orthogonal sequences shall be used to estimate both the inter-symbol interference (ISI) and cross coupling effects or act as the spreading sequences to exploit the frequency diversity for decoding process. Moreover, we also discuss the necessity of the multi-channel equalizer or multi-channel RAKE combiner to resolve the data ambiguity due to self-coupling and cross-coupling with transmit diversity over the frequency selective channels. Throughout this thesis, we analysis and simulate the error performance of the system as a function of signal to noise ratio (SNR) based on different channel models.
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