An Efficient Iterative Algorithm for Joint Frequency Synchronization and Channel Estimation in OFDM Systems
We propose an efficient joint frequency synchronization and channel estimation algorithm based on maximum-likelihood criterion for orthogonal frequency division multiplexing systems. By incorporating a linear minimum mean square error combiner into the algorithm, an iterative process will smoothly lead us to the solutions for both the ML frequency offset and channel estimator without any exhaustive search or simplified approximation as required in most existing algorithms. Moreover, unlike many existing algorithms for which the ML estimator mean square errors will move above and away from Cramer-Rao bounds as signal-to-noise ratio value becomes large, our ML estimator MSEs continue to be tightly close to CRBs at large SNRs with a good tracking range.
orthogonal frequency division multiplezing (OFDM) linear minimum mean square error (LMMSE) Cramer-Rao bound(CRB) channel estimation
Chaoqun Jiao Yi Sun Rainfield Y.Yen Hong-Yu Liu Ta-Chou Lin T.T.Cheng
School of Electrical Engineering, Beijing Jiaotong University Beijing, China Department of Electrical Engineering Tamkang University Tamsui, Taipei Department of Computer and Communication Engineering Dahan Institute of Technology Hualien, Taiwan
国际会议
北京
英文
440-445
2009-10-27(万方平台首次上网日期,不代表论文的发表时间)