Data Detection with Imperfect CSI using Averaged Likelihood Function

Author

Choi, Jinho

Author_Institution

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

Volume

7

Issue

11

fYear

2008

fDate

11/1/2008 12:00:00 AM

Firstpage

4117

Lastpage

4121

Abstract

For the coherent detection, the detection performance depends on the channel estimation error. To improve the detection performance, we consider the use of the averaged likelihood function to take into account the reliability of the channel estimate. The resulting detection approach, which is called the maximum averaged likelihood (MAL) detection, can be seen as an extension of the generalized likelihood ratio test (GLRT) detection. In this letter, we show the relationship between the MAL detection and other existing detection methods.

Keywords

channel estimation; maximum likelihood detection; averaged likelihood function; channel estimate reliability; channel estimation error; channel state information; data detection; generalized likelihood ratio test detection; maximum averaged likelihood detection; Blind equalizers; Channel estimation; Maximum likelihood detection; Maximum likelihood estimation; Microwave integrated circuits; Object detection; Probability density function; Signal processing; Testing; Uncertainty; Detection; channel estimation error;

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/T-WC.2008.070627

Filename

4684587