A Novel Spectral Parameters Estimation Approach for Weather Echoes Based on Fitting

Author

Wang Yue-Xia ; He Jian-Xin

Author_Institution

Dept. Electron. Eng., Chengdu Univ. of Inf. Technol., Chengdu, China

fYear

2010

fDate

23-25 Sept. 2010

Firstpage

1

Lastpage

4

Abstract

White noise pollution mainly reduce the precision of spectral moments estimation for weather echoes, this paper presents a novel spectral estimation method based on fitting to decrease the impact of white noise on spectral parameters estimation. Fitting polynomial is firstly formed by analyzing the spectral characteristics of weather echoes, and then calibrates the received fitted spectrum by triangle. The simulation results show that the method can successfully reduce the impact of white noise on the spectral moments estimation, and can get higher performance than FFT method with a measurement mean error less than 0.4%. So the proposed method can be applied in weather radar.

Keywords

meteorological radar; parameter estimation; polynomials; radar cross-sections; radar signal processing; spectral analysis; white noise; FFT method; fitting polynomial; measurement mean error; spectral characteristic analysis; spectral moment estimation; spectral parameter estimation approach; weather echoes; weather radar; white noise pollution; Doppler effect; Estimation; Fitting; Meteorology; Radar; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3708-5

Electronic_ISBN

978-1-4244-3709-2

Type

conf

DOI

10.1109/WICOM.2010.5600588

Filename

5600588