An Efficient Statistical Pruning Algorithm for Fixed-Complexity Sphere Decoder
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概要
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We create an efficient statistical pruning (SP) algorithm for fixed-complexity sphere decoder (FSD) by utilizing partial decision feedback detection (i.e., SP-FSD). Simulation results show that SP-FSD not only attains the near-optimal performance, but also achieves much lower complexity than the original FSD and its two lately-developed variants: the simplified FSD (SFSD) and the statistical threshold-based FSD (ST-FSD).
- 2011-03-01
著者
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Yang Dacheng
Wireless Theories And Technologies Lab (wt&t) Beijing University Of Posts And Telecommunications
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Yang Dacheng
Wireless Communication Center Beijing University
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ZHANG Xin
Wireless Theories and Technologies Lab, Beijing University of Posts and Telecommunications (BUPT)
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Xiong Cong
Wireless Theories And Technologies Lab (wt&t) Beijing University Of Posts And Telecommunications
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LEI Sheng
Wireless Theories and Technologies Lab (WT&T), Beijing University of Posts and Telecommunications (B
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Lei Sheng
Wireless Theories And Technologies Lab (wt&t) Beijing University Of Posts And Telecommunications
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Zhang Xin
Wireless Theories And Technologies Lab (wt&t) Beijing University Of Posts And Telecommunications
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