Title :
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
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;
Conference_Titel :
Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-5000-6
DOI :
10.1109/ISIT.1998.708949
