Maximum-likelihood detection in the presence of interference

Author

Georghiades, Costas N.

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

fYear

1998

fDate

16-21 Aug 1998

Firstpage

344

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

Keywords

AWGN channels; interference (signal); maximum likelihood detection; maximum likelihood sequence estimation; statistical analysis; AWGN channel; EM algorithm; additive white Gaussian noise channel; expectation-maximization algorithm; interference; likelihood function; maximum-likelihood detection; maximum-likelihood sequence estimation; null-space; statistics; AWGN channels; Additive white noise; Gaussian noise; Instruments; Interference; Maximum likelihood detection; Maximum likelihood estimation; Spread spectrum communication; Statistics; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on

Conference_Location

Cambridge, MA

Print_ISBN

0-7803-5000-6

Type

conf

DOI

10.1109/ISIT.1998.708949

Filename

708949