Open AccessFeed‐forward timing estimation for burst signals in non‐cooperative communication
Author(s) -
Li Youyang,
Qin Fei,
Wang Xue,
Lu Xiaochun,
Chu Ziyue
Publication year - 2020
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.2019.0825
Subject(s) - demodulation , computer science , piecewise , modulation (music) , algorithm , code (set theory) , signal (programming language) , estimation , signal to noise ratio (imaging) , upper and lower bounds , noise (video) , mathematical optimization , telecommunications , mathematics , artificial intelligence , channel (broadcasting) , mathematical analysis , philosophy , management , set (abstract data type) , economics , image (mathematics) , programming language , aesthetics
Timing estimation is the most crucial part of the modulation classification and demodulation of burst signals. The traditional methods in classical cooperative communication fail to provide satisfying accuracy in non‐cooperative communication. A novel timing estimation method was proposed in this study, which involves a carefully designed optimisation function constituted by piecewise over code period. Moreover, a closed‐form analytical solution of the proposed optimisation problem has been provided, which significantly increases the estimation performance with affordable complexity. In detail, the proposed method demonstrates almost five times higher accuracy than the traditional methods in the low signal‐to‐noise ratio (SNR) scenario, while approaches the modified Cramer–Rao bound in the high SNR scenario.