Generalized Reduced-State Vector Sequence Detection

Bharadwaj Satchidanandan

doi:10.1109/LCOMM.2014.2345699

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Generalized Reduced-State Vector Sequence Detection

2014-10-01

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Bharadwaj Satchidanandan *

Kiran Kuchi

R. David Koilpillai

DOI：10.1109/LCOMM.2014.2345699

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Abstract

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A multi-dimensional set-partitioning scheme is proposed for joint reduced-state sequence detection (JRSSD) of vector sequences corrupted by intersymbol interference (ISI) and additive white Gaussian noise (AWGN). The existing multidimensional set-partitioning schemes result in complexity exponential in the dimensionality of the vectors in the vector sequence. The proposed set-partitioning scheme allows the construction of reduced-state trellises with very few states even when the vectors are of high dimensionality. One of the key requirements of the JRSSD algorithm is an efficient algorithm for spatial multi-symbol detection, for which we propose the reduced-state tree (RST) detection algorithm. In addition to performance improvement, the inclusion of RST algorithm for spatial multi-symbol detection provides a common framework for designing receivers for both flat-fading and frequency-selective fading MIMO channels.

Keywords:

Multiple-input-multiple-output (MIMO)

intersymbol interference (ISI)

joint reduced-state sequence detection (JRSSD)

multi-dimensional set-partitioning

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