Fast ML Detection for Quasi-Orthogonal STBCs of Rate 2 in Under-Determined Systems.

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Bibliographic Details
Title: Fast ML Detection for Quasi-Orthogonal STBCs of Rate 2 in Under-Determined Systems.
Authors: Il-Min Kim, Youn Ok Park, Young-Jo Bang
Source: IEEE Transactions on Communications; Aug2008, Vol. 56 Issue 8, p1249-1257, 9p, 3 Black and White Photographs, 2 Graphs
Subject Terms: ANTENNAS (Electronics), ELECTRONIC equipment, ANTENNA feeds, SIGNAL-to-noise ratio, NOISE, INFORMATION measurement
Abstract: A fast maximum-likelihood (ML) detection scheme is proposed for the important quasi-orthogonal Space-Time Block Codes (STBCs) of symbol rate 2 for three and four transmission antennas. In particular, the proposed scheme is applicable even to the under-determined system where the number of transmission antennas is larger than that of the receive antennas. The half of the symbols of the transmission matrix are detected by two dependent double-layer sphere decoders, which are referred to as dual double-layer sphere decoding in this paper. The remaining half of the symbols are detected by single-symbol detection, of which complexity is extremely low. Numerical results demonstrate that the proposed new detection method improves the detection speed up to ten times depending on the Signal-to-Noise Ratio (SNR) compared to the state-of-the-art scheme. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:A fast maximum-likelihood (ML) detection scheme is proposed for the important quasi-orthogonal Space-Time Block Codes (STBCs) of symbol rate 2 for three and four transmission antennas. In particular, the proposed scheme is applicable even to the under-determined system where the number of transmission antennas is larger than that of the receive antennas. The half of the symbols of the transmission matrix are detected by two dependent double-layer sphere decoders, which are referred to as dual double-layer sphere decoding in this paper. The remaining half of the symbols are detected by single-symbol detection, of which complexity is extremely low. Numerical results demonstrate that the proposed new detection method improves the detection speed up to ten times depending on the Signal-to-Noise Ratio (SNR) compared to the state-of-the-art scheme. [ABSTRACT FROM AUTHOR]
ISSN:00906778
DOI:10.1109/TCOMM.2008.070019