Title :
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
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;
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
DOI :
10.1109/ICCE.2009.5012238
