Breadth-first signal decoder: A novel maximum-likelihood scheme for multi-input multi-output systems

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A number of decoding schemes have recently been proposed to perform maximum-likelihood (ML) detection for multi-input-multi-output (MIMO) systems. In this paper, employing a "breadth-first" search algorithm for closet points in a lattice, we propose a novel ML decoding scheme called the breadth-first signal decoder (BSIDE). Through analysis and computer simulations, it is shown that the BSIDE has the same bit-error-rate performance as the conventional ML decoders while allowing significantly lower computational complexity. In addition, we introduce a simple tuning scheme that allows the BSIDE to have a performance - complexity tradeoff capability as necessary.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2008-05
Language
English
Article Type
Article
Citation

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.57, no.3, pp.1576 - 1584

ISSN
0018-9545
URI
http://hdl.handle.net/10203/5554
Appears in Collection
EE-Journal Papers(저널논문)
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