Analysis of higher-order statistics for modulated signals

DOI

10.2991/aest-16.2016.27How to use a DOI?

Keywords

higher-order statistics; cumulants; moments; polyspectrum.

Abstract

The higher-order statistics method can process non-Gaussian (that needs to consider non-Gaussian, colour noise, non-liner, non-minimum phase or cycling stability message) effectively. Furthermore these methods can provide more useful message than second-order statistics based methods. In this paper, the properties of higher-order statistics are analyzed which have been widely used in communications. And the estimation of higher-order statistics of communications (amplitude modulation, frequency modulation signal, signal phase modulation signals, pulse modulation) is studied. Simulation results indicate that the methods summarized in this paper are effective.

Copyright

© 2016, 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  - Shun Na
AU  - Nan Wu
AU  - Yinghui Zhang
AU  - Yang Liu
PY  - 2016/11
DA  - 2016/11
TI  - Analysis of higher-order statistics for modulated signals
BT  - Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 211
EP  - 217
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.27
DO  - 10.2991/aest-16.2016.27
ID  - Na2016/11
ER  -