An EM based Joint Data Detection and Channel Estimation Incorporating with Initial Channel Estimate

Author

Choi, Jinho

Author_Institution

Inst. of Adv. Telecommun., Univ. of Wales Swansea, Swansea

Volume

12

Issue

9

fYear

2008

fDate

9/1/2008 12:00:00 AM

Firstpage

654

Lastpage

656

Abstract

In this letter, we derive an expectation-maximization (EM) algorithm to solve the maximum-likelihood (ML) detection problem over multiple input multiple output (MIMO) channels. The difference from the existing EM algorithms for the ML detection problem is that the proposed EM algorithm does not require the probability density function (pdf) of channel parameters. Thus, the proposed EM algorithm is applicable for any type of MIMO channels (e.g., Rician or Rayleigh) without any modification.

Keywords

MIMO communication; channel estimation; expectation-maximisation algorithm; maximum likelihood detection; MIMO channels; channel estimation; expectation-maximization algorithm; initial channel estimate; joint data detection; maximum-likelihood detection problem; Channel estimation; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Parameter estimation; Partial transmit sequences; Probability density function; Receiving antennas; Signal detection; Transmitting antennas; EM algorithm; MIMO channels; estimation and detection;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2008.080731

Filename

4623769