Publication detail

Model order estimation of highly correlated signals applied on measured data

Authors: Shejbal Tomáš | Bezoušek Pavel | Řezníček Michal

Year: 2016

Type of publication: článek ve sborníku

Name of source: 58th International Symposium ELMAR 2016 : proceedings

Publisher name: Croatian Society Electronics in Marine - ELMAR

Place: Zadar

Page from-to: 241-244

Titles:

Language	Name	Abstract	Keywords
cze	Odhad počtu příchozích signálů na anténní pole	Článek se zabývá počtem příchozích signálů na anténní pole pro zlepšení odhadu úhlu příchozího signálu za použití algoritmů založených na odhadu pseudospektra příchozího signálu.	Odhad, Anténní pole, Kovarianční matice, Rozlišení
eng	Model order estimation of highly correlated signals applied on measured data	The paper deals with the model order estimation of a covariance matrix in the case of two coherent incoming signals on an antenna array. The paper also deals with the estimation of the angle of arrival (AoA). The used model order estimation techniques, are Minimum descriptive length (MDL), information theoretic criteria (AIC) and method which uses pseudo-spectrum of the direction of arrival (DoA). In the paper a motivation of the model order estimation in the AoA tasks is explained and the problems state of the art is described. Several methods of model order estimation are presented, their analysis executed and an experimental verification of the selected methods is performed.	Estimation, Antenna arrays, Covariance matrices, Signal to noise ratio, Eigenvalues and eigenfunctions, Antenna measurements, Signal resolution

Search