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Data detection and coding for data-dependent superimposed training

Lookup NU author(s): Ping Wang

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Abstract

A new detection method for data-dependent superimposed training with equi-spaced amplitude modulation or equi-spaced square quadrature amplitude modulation is presented in this study. Symbol and bit error floor of the proposed detection method is analysed. To remove the error floor, a data coding method is also proposed. Analysis and simulation results show that the proposed detection method outperforms the existing methods, and the data detection performance can be further improved via data coding.


Publication metadata

Author(s): Wang P, Fan PZ, Yuan WN, Darnell M

Publication type: Article

Publication status: Published

Journal: IET Signal Processing

Year: 2014

Volume: 8

Issue: 2

Pages: 138-145

Print publication date: 01/04/2014

ISSN (print): 1751-9675

ISSN (electronic): 1751-9683

Publisher: IEEE

URL: http://dx.doi.org/10.1049/iet-spr.2011.0107

DOI: 10.1049/iet-spr.2011.0107


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Funding

Funder referenceFunder name
111-2-14111 Project
61032002National Science Foundation of China (NSFC)
2012CB316100National 973 project
SWJTU09CX038Fundamental Research Funds for the Central Universities

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