Preamble Based Channel and CFO Estimation for MIMO-OFDM Systems with Null Subcarriers
Author(s) -
Emmanuel Manasseh,
Shûichi Ohno,
Masayoshi Nakamoto
Publication year - 2011
Publication title -
ieice transactions on fundamentals of electronics communications and computer sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.188
H-Index - 52
eISSN - 1745-1337
pISSN - 0916-8508
DOI - 10.1587/transfun.e94.a.2271
Subject(s) - orthogonal frequency division multiplexing , estimator , channel state information , channel (broadcasting) , carrier frequency offset , preamble , mimo ofdm , computer science , algorithm , mimo , control theory (sociology) , statistics , mathematics , telecommunications , wireless , frequency offset , artificial intelligence , control (management)
SUMMARY In this paper, challenges regarding the provision of channel state information (CSI) and carrier frequency synchronization for orthogonal frequency division multiplexing (OFDM) systems with null subcarriers are addressed. We propose novel maximum likelihood (ML) based schemes that estimate the aggregate effects of the CFO and channel by using two successive OFDM preambles. In the presented scheme, CFO is estimated by considering the phase rotation between two consecutive received OFDM preambles. Both single input single output (SISO) as well as multiple input multiple output (MIMO) OFDM systems are considered. The mean squared errors (MSE) of the channel and CFO are used to evaluate the performance of our proposed scheme. By using two successive OFDM preambles, the estimation of channel and the estimation of CFO are decoupled, which leads to a simple estimation method. Simulation results show that the BER performance of the proposed estimators is comparable to that of known channel state information and the CFO MSE performance achieves the Cramer-Rao bound (CRB) of the fully loaded OFDM system.
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