Binary sequence pair based time-domain superimposed training for OFDM

Author

Jiong Shi ; Liping Jin ; Zhaoxi Fang ; Ting Jiang ; Zheng Zhou

Author_Institution

Sch. of Electron. & Inf. Eng., Zhejiang Wanli Univ., Ningbo, China

fYear

2013

fDate

7-10 April 2013

Firstpage

3910

Lastpage

3914

Abstract

This paper introduces a class of perfect binary sequence pair (PBSP), which is characterized by the impulse-equivalent periodic autocorrelation function (PACF) and the length of N=2^k. The proposed PBSP can be generated from a class of difference set pairs (DSP). Considering the desirable properties of the proposed sequence pair, orthogonal frequency division multiplexing (OFDM) transmission with time-domain superimposed training is proposed. Simulation results show that our binary sequence pair is ideal for channel estimation in terms of complexity, accuracy and efficiency.

Keywords

OFDM modulation; channel estimation; OFDM transmission; binary sequence pair; channel estimation; difference set pairs; orthogonal frequency division multiplexing; perfect binary sequence pair; periodic autocorrelation function; time-domain superimposed training; Bit error rate; Channel estimation; Complexity theory; Correlation; Digital signal processing; OFDM; Training; binary sequence pair; channel estimation; difference set pair; superimposed training;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference (WCNC), 2013 IEEE

Conference_Location

Shanghai

ISSN

1525-3511

Print_ISBN

978-1-4673-5938-2

Electronic_ISBN

1525-3511

Type

conf

DOI

10.1109/WCNC.2013.6555200

Filename

6555200