Title :
Uncorrelated Weighted Median Filtering for Noise Removal in SuperDARN
Author :
Goh, Clarence ; Devlin, John C. ; Deng, Dennis ; McDonald, Andrew ; Kamarudin, Muhammad Ramlee
Author_Institution :
Dept. of Electron. Eng., La Trobe Univ., Melbourne, VIC, Australia
Abstract :
Super DARN operating frequencies from 10MHz-15MHz are susceptible to clutter originating from unwanted altitude backscatter, man-made noise exhibiting a Gaussian distribution and correlated speckle noise from pulses emitted from other similar Super DARN radars operating at the same frequency. The paper focuses on removing man-made clutter and uncorrelated speckle noise noise by prior measurement of received noise signal. Based on noise information, an uncorrelated weighted median filter is proposed and used to remove unwanted clutter.
Keywords :
Gaussian distribution; backscatter; correlation methods; electromagnetic wave scattering; filtering theory; ionospheric electromagnetic wave propagation; median filters; radar clutter; radar signal processing; Gaussian distribution; SuperDARN operating frequencies; correlated speckle noise; man-made clutter removal; man-made noise; noise information; noise removal; super dual auroral radar network; uncorrelated speckle noise removal; uncorrelated weighted median filtering; unwanted altitude backscatter; Backscatter; Equations; Mathematical model; Noise; Radar; Receivers; Scattering; Super DARN; clutter; filter design; noise;
Conference_Titel :
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-7980-6
DOI :
10.1109/CSE.2014.196
