Title :
Signal attenuation time series prediction method based on the chaos algorithm
Author :
Shu-Lan Ma ; Bao-Ke Ma ; Miao Song
Author_Institution :
Ningxia Teachers Univ., Guyuan, China
Abstract :
Signal distortion will appear and a series of attenuation time series will also be produced due to the interaction between the radio wave signal and the ionospheric irregularities when radio wave propagates through it. In this article, based on the traditional chaotic time series prediction and the characteristic of the attenuation time series of the ionosphere, the traditional method for prediction the chaotic time series is modified, analyzed, and a more suitable method is given. Final, by using the modified prediction method, a set of attenuate amplitude time series of radio wave signals which propagates through the ionosphere were predicted, and the prediction accuracy is also analyzed. The research shows that the modified prediction method is suitable to predict the short-term time series.
Keywords :
chaos; distortion; ionosphere; radiowave propagation; time series; chaos algorithm; chaotic time series prediction; ionosphere; ionospheric irregularity; radio wave propagation; radio wave signal; signal attenuation time series prediction method; signal distortion; Attenuation; Chaos; Educational institutions; Ionosphere; Prediction methods; Time series analysis; Vectors;
Conference_Titel :
Antennas, Propagation & EM Theory (ISAPE), 2012 10th International Symposium on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1799-3
DOI :
10.1109/ISAPE.2012.6408893