DocumentCode :
718771
Title :
Statistical analysis of fast fluctuating random signals with arbitrary-function envelope under breach of consistency of discontinuous information parameter estimate
Author :
Chernoyarov, Oleg V. ; Lysina, Ekaterina A. ; Marcokova, Mariana ; Dachian, Serguei
Author_Institution :
Dept. of Radio Eng. Devices & Antenna Syst., Nat. Res. Univ. “Moscow Power Eng., Moscow, Russia
fYear :
2015
fDate :
21-23 May 2015
Firstpage :
1
Lastpage :
11
Abstract :
We carried out the synthesis and analysis of quasi-likelihood detector and measurer of a highfrequency random pulse with arbitrary-function envelope, unknown appearance time and inaccurately known duration. We introduced the asymptotically exact method of theoretical calculation of detection and estimation characteristics including anomalous errors effect, if conditions of the decision statistics regularity and consistency of discontinuous parameter estimate are not fulfilled. It has allowed us to define the efficiency of presented receivers analytically. By methods of statistical computer modeling we corroborated the adequacy of the considered analytical approach of the statistical analysis of discontinuous random pulse signals, and also we established its applicability borders for considered tasks.
Keywords :
parameter estimation; signal processing; statistical analysis; anomalous errors effect; arbitrary-function envelope; decision statistics regularity; discontinuous information parameter estimate; fast fluctuating random signals; high-frequency random pulse; quasilikelihood detector; receivers; statistical analysis; statistical computer modeling; Markov processes; Maximum likelihood estimation; Random processes; Reliability; Signal to noise ratio; Statistical analysis; discontinuous parameter; inconsistent estimate; local Markov approximation method; maximum likelihood method; random pulse signal; statistical modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Communications (SIBCON), 2015 International Siberian Conference on
Conference_Location :
Omsk
Print_ISBN :
978-1-4799-7102-2
Type :
conf
DOI :
10.1109/SIBCON.2015.7147275
Filename :
7147275
Link To Document :
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