Low complexity maximum-likelihood detector for DSTTD architecture based on the QRD-M algorithm

Joaquín Cortez (), Miguel Bazdresch (), Julio Ramírez (), Ramón Palacio () and Erica Ruiz ()
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Joaquín Cortez: Instituto Tecnológico de Sonora
Miguel Bazdresch: Rochester Institute of Technology
Julio Ramírez: Universidad del Caribe
Ramón Palacio: Instituto Tecnológico de Sonora
Erica Ruiz: Instituto Tecnológico de Sonora

Telecommunication Systems: Modelling, Analysis, Design and Management, 2019, vol. 70, issue 1, No 6, 55-66

Abstract: Abstract This paper presents a new decoder algorithm for the double space–time transmit diversity (DSTTD) system. The decoder is based on the QRD-M algorithm, which performs a breadth-first search of possible solutions tree. The search is simplified by skipping unlikely candidates, and it is stopped when no promising candidates are left. Furthermore, the search is divided into three concurrent iterations, making possible a fast, parallel implementation either in hardware or software. After presenting an analysis of the capacity and diversity of DSTTD, we present performance results showing that the proposed decoder is capable of achieving near maximum likelihood performance. We also show that the proposed algorithm exhibits lower computational complexity than other existing maximum likelihood detectors.

Keywords: Space–time codes; Double space–time transmit diversity; Maximum-likelihood detection; QRD-M algorithm (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11235-018-0467-8

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