Joint MIMO channel and DC-offset estimation based on Data-Dependent Superimposed ZCZ training

被引：0

作者：

Yuan, Wei-Na ^{[1
]}

Wang, Ping ^{[2
]}

机构：

[1] East China University of Science and Technology, School of Information Science and Engineering

[2] Sichuan Provincial Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University

来源：

Tiedao Xuebao/Journal of the China Railway Society | 2012年 / 34卷 / 08期

关键词：

Channel estimation; DC-offset; MIMO; ZCZ training sequences;

D O I：

10.3969/j.issn.1001-8360.2012.08.009

中图分类号：

O212 [数理统计];

学科分类号：

摘要：

In communication systems, data detection performance depends on channel estimation, especially for MIMO systems. In this paper, the channel estimation method based on implicit training sequences was first introduced, together with its disadvantages including negative effect of data symbols and unknown DC-offset on channel estimation performance. Then, the Data-Dependent Superimposed Training (DDST) method based on the ZCZ(Zero Correlation Zone)training sequences was researched in detail, in which the problems of MIMO multipath channel and DC-offset estimation were resolved. At last, analytical and simulation results were given. It is shown that balanced ZCZ training sequences can not only make DC-offset and multiple channel estimates decoupled, but also minimizes the mean square error performance of channel and DC-offset estimation simultaneously.

引用

页码：52 / 56

页数：4

共 11 条

[1]

Orozco-Lugo A.G., Lara M.M., McLernon D.C., Channel estimation using implicit training, IEEE Trans. Signal Processing, 52, 1, pp. 240-254, (2004)

[2]

Ghogho M., McLernon D., Et al., Channel estimation and symbol detection for block transmission using data-dependent superimposed training, IEEE Signal Processing Letters, 12, 3, pp. 226-229, (2005)

[3]

Ghogho M., Mclernon D., Et al., SISO and MIMO channel estimation and symbol detection using data-dependent superimposed training, ICASSP, pp. 461-464, (2005)

[4]

Yuan W.-N., Fan P.-Z., Implicit MIMO channel estimation without DC-offset based on ZCZ training sequences, IEEE Signal Processing Letters, 13, 9, pp. 521-525, (2006)

[5]

Ghogho M., Channel and DC-offset estimation using data-dependent superimposed training, Electronics Letters, 41, 22, pp. 1250-1252, (2005)

[6]

Tugnait, Meng, On superimposed training for channel estimation: performance analysis, training power allocation and frame synchronization, IEEE Trans. Signal Processing, pp. 752-765, (2006)

[7]

Alameda-Hernandez E., McLernon D.C., Orozco-Lugo A.G., Et al., Frame/training sequence synchronization and DC-offset removal for (data-dependent) superimposed training based channel estimation, IEEE Trans. on Signal Processing, 55, 6, pp. 2557-2569, (2007)

[8]

Tugnait J.K., He S., Multiuser/MIMO doubly selective fading channel estimation using superimposed training and slepian sequences, IEEE Transactions on Vehicular Technology, 59, 3, pp. 1341-1354, (2010)

[9]

He S., Tugnait J.K., On doubly selective channel estimation using superimposed training and discrete prolate spheroidal sequences, IEEE Transactions on Signal Processing, 56, 7, pp. 3214-3228, (2008)

[10]

Fan P.Z., Suehiro N., Kuroyanagi N., Et al., Class of binary sequences with zero correlation zone, Elect. Lett., 35, 10, pp. 777-779, (1999)

← 1 2 →