Title :
Comparison of performance and implementation complexity of soft-output sphere detectors for MIMO-OFDM systems
Author_Institution :
Renesas Mobile Eur. Ltd., Oulu, Finland
Abstract :
A list sphere detector (LSD) is a soft-output enhancement of a sphere detector (SD) that can be used to approximate the optimal MAP detector in the detection of the multiple-input multiple-output (MIMO) signals. The LSDs are based on tree search algorithms and they can be divided into three categories: the breadth-first (BF) search, the depth-first search (DF), and the metric-first (MF) search algorithms. A fair comparison of the feasibility of different search algorithms for MIMO detection requires efficient architecture designs and hardware implementations of the algorithms. In this paper, we compare and analyze the error rate performance, ASIC implementation complexity and detection rate of LSDs based on all three types of search strategies for 4 × 4 MIMO-OFDM systems with 16- and 64-QAM.
Keywords :
MIMO communication; OFDM modulation; application specific integrated circuits; maximum likelihood detection; quadrature amplitude modulation; tree searching; 16-QAM; 64-QAM; ASIC implementation; MIMO detection; MIMO-OFDM systems; breadth-first search; depth-first search; error rate performance; implementation complexity; list sphere detector; metric-first search algorithm; multiple-input multiple-output signal; optimal MAP detector; performance comparison; soft output sphere detector; tree search algorithms; Algorithm design and analysis; Approximation algorithms; Complexity theory; Detectors; MIMO; Signal to noise ratio; Vectors;
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4673-0321-7
DOI :
10.1109/ACSSC.2011.6190141
