Work

Data detection and coding for data‐dependent superimposed training

Year: 2013

Type: article

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.

Source: IET Signal Processing

DOI: 10.1049/iet-spr.2011.0107

Authors: Ping Wang, Pingzhi Fan, Weina Yuan, Michael Darnell

Institutions: Southwest Jiaotong University, East China University of Science and Technology, Newcastle University

Language: English

Topic: Advanced Wireless Communication Techniques

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Awards: G867694005, G88538262