Joint blind maximum likelihood MIMO channel tracking and detection

Author

Karami, Ebrahim ; Shiva, Mohsen

Author_Institution

Iran Telecommun. Res. Center, Tehran, Iran

fYear

2004

fDate

18-21 Dec. 2004

Firstpage

441

Lastpage

444

Abstract

In this paper, different schemes of joint blind channel tracking and data detection algorithms based on maximum likelihood (ML) algorithm for time-varying flat fading multiple-input multiple-output (MIMO) channels are introduced. If the channel model is known in the receiver, ML can present the best performance. The performance and tracking behavior of the proposed algorithms is justified via various simulations for first order time-varying MIMO channels and it is shown that in all cases, the decision-directed ML (DDML) algorithm with separate ML detection and tracking has the best performance.

Keywords

Markov processes; blind source separation; fading channels; maximum likelihood detection; maximum likelihood estimation; time-varying channels; tracking; DDML; Doppler frequency; MIMO channel tracking; ML; Markov model; data detection algorithm; decision-directed ML algorithm; joint blind channel tracking; maximum likelihood algorithm; multiple-input multiple-output channels; Data engineering; Fading; Frequency; MIMO; Maximum likelihood detection; Receiving antennas; Training data; Transmitters; Transmitting antennas; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on

Print_ISBN

0-7803-8689-2

Type

conf

DOI

10.1109/ISSPIT.2004.1433813

Filename

1433813