Analysis of higher-order statistics for modulated signals

DOI

https://doi.org/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.

Open Access

This is an open access article distributed under the CC BY-NC license.

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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  - 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  - https://doi.org/10.2991/aest-16.2016.27
ID  - Na2016/11
ER  -