Title :
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
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;
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
DOI :
10.1109/WICOM.2010.5600588
