Title :
Statistical analysis of meteorological echoes mean power estimate
Author :
Rachkov, Dmytro S. ; Lekhovytskiy, David I. ; Semeniaka, Andrii V.
Author_Institution :
Kharkiv Nat. Univ. of Radio Electron., Kharkiv, Ukraine
Abstract :
The maximum likelihood estimates of mean power of reflections from meteorological objects (MO) are derived for four different cases. The laws of distribution of well-known estimate of mean MO power are derived. Based on them, its statistical characteristics are determined. Their dependences on training sample size, intensity of reflections from MO, and type and level of their interperiod correlation are analyzed.
Keywords :
atmospheric techniques; MO intensity; MO sample size; MO training; distribution laws; maximum likelihood estimates; mean MO power; meteorological echoes mean power estimate; meteorological objects; reflection mean power; reflections intensity; statistical analysis; statistical characteristics; Meteorological radar; Meteorology; Reflection; maximum likelihood estimate; mean power; meteorological objects; statistical analysis; weather radar;
Conference_Titel :
Microwaves, Radar and Remote Sensing Symposium (MRRS), 2014 IEEE
Conference_Location :
Kiev
Print_ISBN :
978-1-4799-6072-9
DOI :
10.1109/MRRS.2014.6956656
