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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Performance of Full-rate Full-diversity Space-time Codes Under Quantization and Channel Estimation Error

Jiang, Zhengwei 01 January 2011 (has links)
In this work, we investigate the performance of full-rate full-diversity space-time codes (FRFD-STCs) under practical conditions. In this thesis, we first discuss the performance of FRFD-STCs in the moderate SNR region. We also compare FRFD-STCs with spatial multiplexing, using the same transmission rate, for both un-coded and coded systems. The results show that spatial multiplexing is as good as FRFD-STCs with channel coding. Secondly, we investigate the issue of quantization, i.e. the effect of the quantization error in the space-time encoding matrix. Our analysis and results show that the performance loss is negligible. Finally, we propose two receiver structures in the presence of imperfect channel state information (CSI). The two receivers use the VEM module as the channel estimator and MIMO detector respectively. Both receivers are of low complexity, and have better performance than the methods proposed previously.
2

Performance of Full-rate Full-diversity Space-time Codes Under Quantization and Channel Estimation Error

Jiang, Zhengwei 01 January 2011 (has links)
In this work, we investigate the performance of full-rate full-diversity space-time codes (FRFD-STCs) under practical conditions. In this thesis, we first discuss the performance of FRFD-STCs in the moderate SNR region. We also compare FRFD-STCs with spatial multiplexing, using the same transmission rate, for both un-coded and coded systems. The results show that spatial multiplexing is as good as FRFD-STCs with channel coding. Secondly, we investigate the issue of quantization, i.e. the effect of the quantization error in the space-time encoding matrix. Our analysis and results show that the performance loss is negligible. Finally, we propose two receiver structures in the presence of imperfect channel state information (CSI). The two receivers use the VEM module as the channel estimator and MIMO detector respectively. Both receivers are of low complexity, and have better performance than the methods proposed previously.

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