ML-based iterative channel and spatial covariance estimation in asynchronous interference environment for OFDMA system

Author

Jang, Jun Hee ; Han, Jung Su ; Kim, Sung Soo ; Choi, Hyung-Jin

Author_Institution

Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon

fYear

2009

Firstpage

1

Lastpage

2

Abstract

To mitigate the asynchronous ICI (Inter-Cell Interference), the CFR (Channel Frequency Response) and SCM (Spatial Covariance Matrix) should be accurately estimated. Therefore, we propose the ML (Maximum Likelihood)-based iterative method which can effectively reduce the estimation error of both CFR and SCM, and improve the performance for OFDMA system such as LTE (3GPP Long Term Evolution).

Keywords

OFDM modulation; channel estimation; covariance matrices; frequency division multiple access; frequency response; interference suppression; iterative methods; maximum likelihood estimation; ML-based iterative channel estimation; OFDMA system; asynchronous ICI; asynchronous interference environment; channel frequency response; estimation error reduction; inter-cell interference mitigation; maximum likelihood-based iterative method; spatial covariance matrix estimation; Channel estimation; Degradation; Estimation error; Frequency estimation; Frequency response; Information technology; Interference; Iterative methods; Research and development; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, 2009. ICCE '09. Digest of Technical Papers International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4244-4701-5

Electronic_ISBN

978-1-4244-2559-4

Type

conf

DOI

10.1109/ICCE.2009.5012238

Filename

5012238