Partial Marginalization Soft MIMO Detection with Higher Order Constellations
2011 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 59, no 1, 453-458 p.Article in journal (Refereed) Published
A new method for multiple-input multiple-output (MIMO) detection with soft-output, the partial marginalization (PM) algorithm, was recently proposed. Advantages of the method are that it is straightforward to parallelize, and that it offers a fully predictable runtime. PM trades performance for computational complexity via a user-defined parameter. In the limit of high computational complexity, the algorithm becomes the MAP demodulator. The PM algorithm also works with soft-input, but until now it has been unclear how to apply it for other modulation formats than binary phase-shift keying (BPSK) per real dimension. In this paper, we explain how to extend PM with soft-input to general signaling constellations, while maintaining the low complexity advantage of the original algorithm.
Place, publisher, year, edition, pages
IEEE , 2011. Vol. 59, no 1, 453-458 p.
detection, soft-input, soft-output, map, zero-forcing with decision feedback
National CategoryEngineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-58524DOI: 10.1109/TSP.2010.2068293ISI: 000285519200040OAI: oai:DiVA.org:liu-58524DiVA: diva2:343404
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Daniel Persson and Erik G. Larsson, Partial Marginalization Soft MIMO Detection with Higher Order Constellations, 2010, IEEE Transactions on Signal Processing.