Identifiability of data-aided carrier-frequency offset estimation over frequency selective channels

被引：13

作者：

Gao, Feifei ^{[1
]}

Nallanathan, A. ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 119260, Singapore

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2006年 / 54卷 / 09期

关键词：

carrier-frequency offset (CFO); channel estimation; identifiability; orthogonal frequency-division multiplexing (OFDM); preamble;

D O I：

10.1109/TSP.2006.879277

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Carrier-frequency offset (CFO) must be compensated before channel estimation and coherent detection. Several data-aided CFO estimation algorithms have been proposed recently. However, an improper selection of training sequences may cause the identifiability problem which results in failure of CFO estimation. In this correspondence, we present a detailed study on identifiability issue and derive two new theorems for data-aided CFO estimation. The first theorem is suitable for all training sequences. The second one mainly deals with a popular set of training sequences that is deemed as optimal for channel estimation. Simulation results are provided to validate the proposed study.

引用

页码：3653 / 3657

页数：5

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