Maximum-likelihood detection in the presence of interference

被引：1
|
作者：
Georghiades, CN [1 ]
机构：
[1] Texas A&M Univ, Dept Elect Engn, College Stn, TX 77843 USA
来源：
1998 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS | 1998年
关键词：
D O I：
10.1109/ISIT.1998.708949
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：344 / 344
页数：1
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