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Cell ID Detection and SNR Estimation Algorithms Robust to Noise  

Lee, Chong-Hyun (제주대학교 해양시스템공학과)
Bae, Jin-Ho (제주대학교 해양시스템공학과)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.10, no.5, 2010 , pp. 139-145 More about this Journal
Abstract
In this paper, we propose robust cell ID detection algorithm and SNR estimation algorithm applicable to mobile base station, which can be operated independently. The proposed cell ID estimation uses signal subspace to estimate cell IDs used in cell. The proposed SNR estimation algorithm uses number of noise subspace vectors and the corresponding eigen-vectors. Through the computer simulations, we showed that performance of the proposed cell ID detection and SNR estimation algorithms are superior to existing correlation based algorithms. Also we showed that the proposed algorithm is suitable to fast moving channel in high background noise and strong interference signal.
Keywords
Cell ID; SNR Detection and Etimation; Subspace; WiBro-Evolution;
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