Training sequences design for channel estimation in FTN system using discrete Fourier transform techniques | Zendy

Cai Biao | Zendy; Liu Aijun | Zendy; Tong Xinhai | Zendy; Cheng Fengyi | Zendy

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Training 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) - discrete fourier transform (general) , computer science , channel (broadcasting) , fourier transform , estimation , algorithm , speech recognition , fractional fourier transform , mathematics , fourier analysis , telecommunications , engineering , mathematical analysis , systems engineering

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.

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