Approximating the LLR Distribution for a Class of Soft-Output MIMO Detectors
2012 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 60, no 12, 6421-6434 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2012. Vol. 60, no 12, 6421-6434 p.
Fixed-complexity sphere-decoder; Gaussian mixture model; LLR distribution; MIMO detection; partial marginalization
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-87205DOI: 10.1109/TSP.2012.2217336ISI: 000311805000024OAI: oai:DiVA.org:liu-87205DiVA: diva2:587456
On the defence date of the Licentiate Thesis the status of this article was Manuscript and the title was Approximating the LLR Distribution for the Optimal and Partial Marginalization MIMO Detectors.2013-01-142013-01-142016-08-31Bibliographically approved