DocumentCode :
464725
Title :
High Speed Sphere Decoding Based on Vertically Incremental Computation
Author :
Kang, Se-Hyeon ; Park, In-Cheol
Author_Institution :
Syst. LSI Div., Samsung Electron.
fYear :
2007
fDate :
27-30 May 2007
Firstpage :
665
Lastpage :
668
Abstract :
Sphere decoding enables maximum likelihood (ML) detection with lower complexity than other decoding algorithms, but it still suffers from large computational delay. This paper proposes a vertical partial Euclidean distance (PED) computation method to reduce the critical path delay and computational resources. Since the proposed method computes ahead the PED of lower levels using upper level symbols, a high speed PED computation unit can be implemented with less hardware resources
Keywords :
maximum likelihood decoding; maximum likelihood detection; critical path delay; decoding algorithms; high speed sphere decoding; maximum likelihood detection; partial Euclidean distance computation; vertically incremental computation; Delay; Equations; Euclidean distance; Hardware; Lattices; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Performance loss; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/ISCAS.2007.377896
Filename :
4252722
Link To Document :
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