Maximum-likelihood detection in the presence of interference Conference Paper

abstract

• We study maximum-likelihood (ML) sequence estimation in interference through a direct derivation of the likelihood function, and using the expectation-maximization (EM) algorithm. It is seen that, irrespective of the interference statistics, the likelihood function is composed of two parts: the first, which has the same form as for a purely additive white Gaussian noise (AWGN) channel, operates only on the signal component in the null-space of the interference; the second part depends on the statistics of the interference and operates on the signal part which is in the space of interference. 1998 IEEE.

name of conference

• Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252)

authors

• Georghiades, Costas

published proceedings

• 1998 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS

author list (cited authors)

• Georghiades, C. N.

citation count

• 3

complete list of authors

• Georghiades, CN

publication date

• January 1998

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE International Symposium on Information Theory - Proceedings  Journal

keywords

• 40 Engineering
• 4006 Communications Engineering
• 46 Information And Computing Sciences
• Biotechnology

Digital Object Identifier (DOI)

• 10.1109/ISIT.1998.708949

International Standard Book Number (ISBN) 10

• 0-7803-5000-6

International Standard Book Number (ISBN) 13

• 9780780350007

start page

• 344

end page

• 344

URL

• http://dx.doi.org/10.1109/isit.1998.708949