학술논문

Generalized Reduced-State Vector Sequence Detection
Document Type
Periodical
Source
IEEE Communications Letters IEEE Commun. Lett. Communications Letters, IEEE. 18(10):1691-1694 Oct, 2014
Subject
Communication, Networking and Broadcast Technologies
Complexity theory
Vectors
MIMO
Algorithm design and analysis
Markov processes
Receivers
Silicon carbide
Language
ISSN
1089-7798
1558-2558
2373-7891
Abstract
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 multi-dimensional 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.