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Approximating the L...
Approximating the LLR Distribution for a Class of Soft-Output MIMO Detectors
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- Cirkic, Mirsad (författare)
- Linköpings universitet,Kommunikationssystem,Tekniska högskolan
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- Persson, Daniel (författare)
- Linköpings universitet,Kommunikationssystem,Tekniska högskolan
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- Larsson, Jan-Åke (författare)
- Linköpings universitet,Informationskodning,Tekniska högskolan
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- Larsson, Erik G. (författare)
- Linköpings universitet,Kommunikationssystem,Tekniska högskolan
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2012
- 2012
- Engelska.
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Ingår i: IEEE Transactions on Signal Processing. - : Institute of Electrical and Electronics Engineers (IEEE). - 1053-587X .- 1941-0476. ; 60:12, s. 6421-6434
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- We present approximations of the LLR distribution for a class of fixed-complexity soft-output MIMO detectors, such as the optimal soft detector and the soft-output via partial marginalization detector. More specifically, in a MIMO AWGN setting, we approximate the LLR distribution conditioned on the transmitted signal and the channel matrix with a Gaussian mixture model (GMM). Our main results consist of an analytical expression of the GMM model (including the number of modes and their corresponding parameters) and a proof that, in the limit of high SNR, this LLR distribution converges in probability towards a unique Gaussian distribution.
Nyckelord
- Fixed-complexity sphere-decoder; Gaussian mixture model; LLR distribution; MIMO detection; partial marginalization
- TECHNOLOGY
- TEKNIKVETENSKAP
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