Title :
On Sphere Detection and Minimum-Phase Prefiltered Reduced-State Sequence Estimation
Author :
Hansen, Morten ; Winther, Ole ; Christensen, Lars P B
Author_Institution :
Tech. Univ. of Denmark, Lyngby
Abstract :
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.
Keywords :
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; AWGN; Decision feedback equalizers; Decision making; Detectors; Frequency estimation; Informatics; MIMO; Mathematical model; Maximum likelihood detection; Nonlinear filters;
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
DOI :
10.1109/GLOCOM.2007.806