Carrier frequency offset estimation using data-dependent superimposed training

被引：0

作者：

Moosvi, S. M. A. ^{[1
]}

McLernon, D. C. ^{[1
]}

Orozco-Lugo, A. G. ^{[2
]}

Lara, M. M. ^{[2
]}

Ghoaho, M. ^{[1
]}

机构：

[1] Univ Leeds, Sch Elect & Elect Engn, Leeds LS2 9JT, W Yorkshire, England

[2] CINVESTAV IPN, Secc Comunicaciones, Mexico City, DF 07360, Mexico

来源：

PROCEEDINGS OF THE 2007 15TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING | 2007年

关键词：

frequency estimation; superimposcd training; frequency selective fading;

D O I：

10.1109/ICDSP.2007.4288594

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper we propose, for the first time, a solution to the problem of carrier frequency offset, (CFO) estimation within the Data Dependent Superimposed Training (DDST) frame-work for channel estimation. While time division multiplexed (TDM) trained systems can use the TDM sequence to determine the CFO. the original attraction of DDST for channel estimation was that it avoided any TDM training. So in this paper we show how CFO estimation can still be very effectively performed with the DDST algorithm, while continuing to Preclude the need for any additional bandwidth-consuming TDM training. Finally, Simulations are presented that verify the theoretical developments.

引用

页码：363 / +

页数：2

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