Analysis of higher-order statistics for modulated signals
Shun Na, Nan Wu, Yinghui Zhang, Yang Liu
Available Online November 2016.
- https://doi.org/10.2991/aest-16.2016.27How to use a DOI?
- higher-order statistics; cumulants; moments; polyspectrum.
- 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.
Cite this article
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 -