Open AccessTraining sequences design for channel estimation in FTN system using discrete Fourier transform techniques
Author(s) -
Cai Biao,
Liu Aijun,
Tong Xinhai,
Cheng Fengyi
Publication year - 2017
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.0752
Subject(s) - computer science , sequence (biology) , nyquist–shannon sampling theorem , discrete fourier transform (general) , channel (broadcasting) , frequency domain , algorithm , monte carlo method , function (biology) , multipath propagation , fourier transform , mathematics , telecommunications , statistics , fractional fourier transform , fourier analysis , evolutionary biology , computer vision , biology , mathematical analysis , genetics
This study addresses the training sequence design problem for multipath channel estimation in faster‐than‐Nyquist (FTN) system. The authors process the estimation in the frequency domain and give the search criterion which is only the function of the power spectrum of the training sequence. The optimal sequence according to this criterion is found by using search strategy described in detail in this study and the performance of it is tested by Monte Carlo simulation.