Title :
Parallel Architecture of List Sphere Decoders
Author :
Zhang, Yuping ; Parhi, Keshab K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ.
Abstract :
Sphere decoding has been used for maximum likelihood (ML) detection of multiple-input-multiple-output (MIMO) communication systems. In order to combine the sphere decoder with the outer channel code decoder, researchers have proposed to include a candidate list in the sphere decoder to provide soft information to the channel code decoder. This algorithm is called list sphere decoder (LSD). With LSD, it takes many cycles to decode a vector. In this paper, the architecture of applying parallel processing technique in LSD is presented, with detailed discussions on the individual building blocks.
Keywords :
MIMO communication; decoding; maximum likelihood detection; parallel architectures; building blocks; channel code decoder; list sphere decoders; maximum likelihood detection; multiple-input-multiple-output communication systems; parallel architecture; soft information; sphere decoding; Computer architecture; Concurrent computing; Detectors; Iterative decoding; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Parallel architectures; Polynomials; Signal to noise ratio;
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
DOI :
10.1109/ISCAS.2007.378512