期刊論文
| 學年 | 98 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2010-05-01 |
| 作品名稱 | Effective Adaptive Iteration Algorithm for Frequency Tracking and Channel Estimation in OFDM Systems |
| 作品名稱（其他語言） | |
| 著者 | Liu, Hong-Yu; Yen, R.Y. |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | Piscataway: Institute of Electrical and Electronics Engineers |
| 著錄名稱、卷期、頁數 | IEEE Transactions on Vehicular Technology 59(4), pp.2093-2097 |
| 摘要 | For joint maximum-likelihood (ML) frequency tracking and channel estimation using orthogonal frequency-division multiplexing (OFDM) training blocks in OFDM communications over mobile wireless channels, a major difficulty is the local extrema or multiple-solution complication arising from the multidimensional log-likelihood function. To overcome this, we first obtain crude ML frequency-offset estimators using single-time-slot samples from the received time-domain OFDM block. These crude frequency estimators are shown to have unique closed-form solutions. We then optimally combine these crude frequency estimators in the linear-minimum-mean-square-error (LMMSE) sense for a more accurate solution. Finally, by alternatively updating the LMMSE frequency estimator and the ML channel estimator through adaptive iterations, we successfully avoid the use of a multidimensional log-likelihood function, hence obviating the complex task of global solution search and, meanwhile, achieve good estimation performance. Our estimators have mean square errors (MSEs) tightly close to Cramer-Rao bounds (CRBs) with a wide tracking range. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 0018-9545 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | Yen, R.Y. |
| 審稿制度 | |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | 紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/61008 ) |