Open AccessAnalysis of characteristics of phase noise generated by 90/150 cellular automata
Author(s) -
Di An,
Xin Cao,
Qingwei Ji,
Wenqiang Shi,
Xinghan Gao
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0227
Subject(s) - cellular automaton , random sequence , sequence (biology) , computer science , algorithm , noise (video) , neighbourhood (mathematics) , adaptability , stochastic process , automaton , theoretical computer science , mathematics , statistics , artificial intelligence , distribution (mathematics) , mathematical analysis , ecology , biology , image (mathematics) , genetics
Pseudo‐random sequence plays an important role in the field of the phase noise simulation. This study analyses the pseudo‐random sequence generated by the method based on cellular automata (CA). Compared with the method of look‐up table and linear feedback neighbourhood registers, the simulation results show that the pseudo‐random sequence generated by the CA method has better adaptability in the process of phase noise simulation.