教師資料查詢 | 類別: 期刊論文 | 教師: 嚴雨田 YEN RAINFIELD Y. (瀏覽個人網頁)

標題:Frequency tracking by method of least squares combined with channel estimation for OFDM over mobile wireless channels
學年100
學期2
出版(發表)日期2012/06/01
作品名稱Frequency tracking by method of least squares combined with channel estimation for OFDM over mobile wireless channels
作品名稱(其他語言)
著者Yen, Rainfield Y; Liu, Hong-Yu; Tsai, Chia-Sheng
單位淡江大學電機工程學系
出版者Heidelberg: SpringerOpen
著錄名稱、卷期、頁數EURASIP Journal on Wireless Communications and Networking 2012:192, 13pages
摘要To track frequency offset and time-varying channel in orthogonal frequency division multiplexing (OFDM) systems over mobile wireless channels, a common technique is, based on one OFDM training block sample, to apply the maximum-likelihood (ML) algorithm to perform joint frequency tracking and channel estimation employing some adaptive iteration processes. The major drawback of such joint estimation techniques is the local extrema problem arising from the highly nonlinear nature of the log-likelihood function. This makes the joint estimation process very difficult and complicated, and many a time the results are not very satisfactory if the algorithm is not well designed. In this study, rather than using the ML algorithm, we shall apply the method of least squares (LS) for frequency tracking utilizing repeated OFDM training blocks. As will be seen, by using such an LS approach, the frequency offset estimation requires no channel knowledge. The channel state can be estimated separately after the LS frequency offset correction. This not only circumvents the local extrema complication, but also obviates the need for the lengthy adaptive iteration process of joint estimation thus greatly simplifies the entire estimation process. Most importantly, our technique can achieve excellent estimation performance as compared to the usual ML algorithms.
關鍵字orthogonal frequency division multiplexing (OFDM); least squares (LS) estimation; maximum-likelihood (ML) estimation; carrier frequency synchronization; channel estimation
語言英文
ISSN1687-1472
期刊性質國際
收錄於SCI
產學合作
通訊作者嚴雨田
審稿制度
國別德國
公開徵稿
出版型式紙本
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