Multiuser Detection With an Unknown Number of Users
2005 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 53, no 2, 724-728 p.Article in journal (Refereed) Published
This correspondence studies the problem of separating a signal of interest from co-channel interference for the situation when the number of co-channel users and their channels are unknown. We devise a novel approach to this problem based on a trained statistical mixture model. Numerical results illustrate that the new method can outperform conventional training-based multiuser detection.
Place, publisher, year, edition, pages
2005. Vol. 53, no 2, 724-728 p.
Bayesian information criterion, maximum a posteriori detection, maximum likelihood detection, model order estimation, multiuser detection, soft information
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-77019DOI: 10.1109/TSP.2004.840728OAI: oai:DiVA.org:liu-77019DiVA: diva2:524430