Comparison of parametric methods for radar signal processing

Author

Rejfek, Lubos ; Buresova, Dalia ; Fiser, Ondrej ; Brazda, Vladimir

Author_Institution

Dept. of Aeronomy, Inst. of Atmos. Phys., Prague, Czech Republic

fYear

2015

fDate

21-22 April 2015

Firstpage

141

Lastpage

144

Abstract

The paper deals with comparison of parametric power spectral density methods for the utilization in the meteorological radar. Type of the considered radar is pulse radar of frequency modulated pulses. We have compared duration of signal processing requested by single methods involved in the test. The methods used are the Auto Regressive (AR) model, MUSIC method, Eigen Vector algorithm and CAPON. Duration of signal processing is important for regular measurements of the radar. The best results we obtained for the AR model.

Keywords

FM radar; autoregressive processes; meteorological radar; radar signal processing; signal classification; CAPON; MUSIC method; auto regressive model; eigen vector algorithm; frequency modulated pulses; meteorological radar; parametric methods; parametric power spectral density methods; pulse radar; radar signal processing; signal processing; Frequency modulation; Mathematical model; Multiple signal classification; Noise; Radar; Signal processing algorithms; Auto Regressive (AR) Model; CAPON; Eigen Vector algorithm; Frequency Modulated Radar; MUSIC; Parametric Power Spectral Density (PSD) method;

fLanguage

English

Publisher

ieee

Conference_Titel

Radioelektronika (RADIOELEKTRONIKA), 2015 25th International Conference

Conference_Location

Pardubice

Print_ISBN

978-1-4799-8117-5

Type

conf

DOI

10.1109/RADIOELEK.2015.7128986

Filename

7128986