2004 · 26 citations · 6 references
EngineeringComputer EngineeringComputer ScienceComputer ArchitectureInformation TheoryParallel ComputingChannel EstimationCoding TheoryData ParallelismDigital Signal ProcessingParallel ArchitecturesSignal Detection TheoryAsic ImplementationConfidence MeasuresDetectorsMimoMimo SystemsMultiuser DetectionNp-hardnessSoft Information
Finding the nearest point in a lattice is an NP-hard problem for which we desire a simplified architecture. Furthermore, output of confidence measures or soft information is desirable for decoding/detection problems, yet generating such information further complicates the task. This paper presents an efficient and highly parallelisable architecture for a list sphere detector that is particularly suited to ASIC implementation. Various degrees of parallelism are explored and compared. This architecture finds application in multiuser and MIMO detectors, providing soft estimates of the transmitted symbols.
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Closest point search in lattices
Erik Agrell, Thomas Eriksson, Alexander Vardy et al. · IEEE Transactions on Information Theory · 2002 · 1.4K citations · Full text
A VLSI architecture of a K-best lattice decoding algorithm for MIMO channels
Kwan-wai Wong, Chi-Ying Tsui, R.S. Cheng et al. · 2003 · 376 citations
Engineering, Computer Engineering, Electrical Engineering +11