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Wireless channel characterization at 2.4 GHz for multiple antenna systems

Leslie C. Wood-2008-01-01-eScholarship (California Digital Library)

TL;DRAbstract

The use of multiple antennas at one or both ends of a communication link can improve both the capacity and reliability of the system in a fading environment. However, the performance of the system depends heavily on the inherent structure of the channel itself. In this dissertation we focus our attention on the characterization of the wireless channel, modeling the channel, and the practical implications of the channel knowledge on the transmission strategy. The first part of this dissertation considers single-input multiple-output (SIMO) transmission systems. For these systems, receiver diversity is available to improve the reliability of the communication link. The improvement available is governed by spatial correlation. This portion outlines the construction of a dual channel measurement system and channel measurements. Modeling is used to further understand the environment and the received power patterns. The second part of this dissertation focuses on multiple-input multiple-outp

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The use of multiple antennas at one or both ends of a communication link can improve both the capacity and reliability of the system in a fading environment. However, the performance of the system depends heavily on the inherent structure of the channel itself. In this dissertation we focus our attention on the characterization of the wireless channel, modeling the channel, and the practical implications of the channel knowledge on the transmission strategy. The first part of this dissertation considers single-input multiple-output (SIMO) transmission systems. For these systems, receiver diversity is available to improve the reliability of the communication link. The improvement available is governed by spatial correlation. This portion outlines the construction of a dual channel measurement system and channel measurements. Modeling is used to further understand the environment and the received power patterns. The second part of this dissertation focuses on multiple-input multiple-outp

Keywords

Channel (broadcasting)MIMOFadingTransmission (telecommunications)Computer scienceElectronic engineeringReliability (semiconductor)Wireless

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