On Sphere Detection and Minimum-Phase Prefiltered Reduced-State Sequence Estimation

Washington, DC(2007)

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摘要
In this paper, prefiltering techniques for sphere detection (SD) in frequency-selective channels are examined. It is shown that a link between QL-factorization of the channel matrix and minimum-phase prefiltering exists. As a result, it is possible to regard SD as a generalization of traditional reduced- state sequence estimation, providing a unifying framework for the two detection methods. It is illustrated how minimum-phase prefiltering or the linear minimum mean-square error decision feedback equalization (LMMSE-DFE) forward filter is capable of reducing the complexity of sphere detectors significantly, while still obtaining near-optimal performance. The significant reduction in complexity is obtained as prefiltering enables earlier decision making in SD. Simulations carried out in an EDGE system confirm that prefiltering leads to a considerable complexity reduction for sphere detectors.
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关键词
channel estimation,communication complexity,decision making,filtering theory,matrix decomposition,mean square error methods,wireless channels,EDGE system,QL-factorization,channel matrix,decision making,frequency-selective channels,linear minimum mean-square error decision feedback equalization forward filter,minimum-phase prefiltered reduced-state sequence estimation,minimum-phase prefiltering,reduced- state sequence estimation,sphere detection complexity
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