Title :
Hurst exponent estimation for moving fractal object by maximum likelihood method
Author :
Parshin, Alexander
Author_Institution :
Ryazan State Radio Eng. Univ., Ryazan, Russia
Abstract :
Article deals with synthesis of Hurst exponent estimation algorithm for signal reflected from moving object. Signal model based on fractal Brownian motion is developed. Method of estimation of object Hurst exponent is proposed. Method of object detection by Neyman-Pearson criterion is considered.
Keywords :
Brownian motion; fractals; maximum likelihood detection; maximum likelihood estimation; object detection; Hurst exponent estimation algorithm; Neyman-Pearson criterion; fractal Brownian motion; maximum likelihood method; moving fractal object; object Hurst exponent; signal model;
Conference_Titel :
Microwave & Telecommunication Technology (CriMiCo), 2014 24th International Crimean Conference
Conference_Location :
Sevastopol
Print_ISBN :
978-966-335-412-5
DOI :
10.1109/CRMICO.2014.6959792
