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Uncorrelated weighted median filtering for noise removal in SuperDARN

Goh, C. and Devlin, J. C. and Deng, D. and McDonald, A. and Kamarudin, M. R. (2015) Uncorrelated weighted median filtering for noise removal in SuperDARN. Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, . pp. 981-988.

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Abstract

SuperDARN 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 SuperDARN 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.

Item Type:Article
Subjects:A General Works
ID Code:59536
Deposited By: Haliza Zainal
Deposited On:18 Jan 2017 09:50
Last Modified:21 Jun 2017 11:18

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