DocumentCode :
2086403
Title :
Implementation and complexity analysis of list sphere detector for MIMO-OFDM systems
Author :
Myllylä, Markus ; Juntti, Markku ; Cavallaro, Joseph R.
Author_Institution :
Centre for Wireless Commun., Univ. of Oulu, Oulu
fYear :
2008
fDate :
26-29 Oct. 2008
Firstpage :
1852
Lastpage :
1856
Abstract :
A list sphere detector (LSD) is an enhancement of a sphere detector (SD) that can be used to approximate the soft output maximum a posteriori probability (MAP) detector used in the detection of the multiple-input multiple-output (MIMO) signals. The LSD consists of three different parts: the preprocessing unit, the LSD algorithm unit and the log-likelihood ratio (LLR) calculation unit. Architecture design is the key point to enable an efficient implementation of the LSD. In this paper, we design the architecture for the whole detector structure and exploit the parallelism and pipelining possibilities of the presented architecture units. The designed architecture is implemented in a field programmable gate array (FPGA) using Mentor Graphics Catapult C tool. We show that a scalable architecture can be designed for the LSD. The LSD is also shown to be feasible for practical implementation, and the implementation complexity and latency results are presented.
Keywords :
MIMO communication; OFDM modulation; field programmable gate arrays; maximum likelihood detection; maximum likelihood estimation; parallel processing; pipeline processing; radio receivers; FPGA; MIMO-OFDM systems; Mentor Graphics Catapult C tool; field programmable gate array; list sphere detector; log-likelihood ratio; maximum a posteriori probability; multiple-input multiple-output signals; parallelism; pipelining; Computer architecture; Detectors; Field programmable gate arrays; Iterative decoding; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Quadrature amplitude modulation; Transmitting antennas; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-2940-0
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2008.5074749
Filename :
5074749
Link To Document :
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