The realization of low order FSM method and its application

DOI

10.2991/icmmita-15.2015.342How to use a DOI?

Keywords

stable distribution; FLOS; low order FSM algorithm

Abstract

Cyclostationary statistical characteristic is the main theory of studying non-stationary periodic signal. Signal and noise are always assumed that obey Gaussian distribution model in traditional signal’s processing. As the environment of non-Gaussian pulse is increasing complex, degradation problems of system performance can be solved by building stable distribution theory model. Firstly, this paper introduces the stable distribution to estimate FSM cyclic spectrum and proposes cycle spectrum analysis under discrete signal. Then, the verification is given by taking AM communication signal on Matlab platform. The results show that in a complex environment, the low-level FSM algorithm which is based on stable distribution has better performances on robustness and noise immunity. Finally, the algorithm proposed in this paper is applied to construct characteristic parameter, which is important for blind signal separation and identification.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiai He
AU  - Xiangyang Liu
AU  - Chengquan Pei
PY  - 2015/11
DA  - 2015/11
TI  - The realization of low order FSM method and its application
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1830
EP  - 1835
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.342
DO  - 10.2991/icmmita-15.2015.342
ID  - He2015/11
ER  -