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Algorithms 2011, 4(4), 239-261; doi:10.3390/a4040239

Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis

*  and
Remote Sensing Lab (RSLAB), Department of Signal Theory and Communications (TSC), Universitat Politècnica de Catalunya (UPC) and IEEC/CRAE-UPC, Campus Nord, Building D, 08034 Barcelona, Spain
* Author to whom correspondence should be addressed.
Received: 26 August 2011 / Revised: 3 October 2011 / Accepted: 13 October 2011 / Published: 25 October 2011
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Radio Frequency Interference (RFI) detection and mitigation algorithms based on a signal’s spectrogram (frequency and time domain representation) are presented. The radiometric signal’s spectrogram is treated as an image, and therefore image processing techniques are applied to detect and mitigate RFI by two-dimensional filtering. A series of Monte-Carlo simulations have been performed to evaluate the performance of a simple thresholding algorithm and a modified two-dimensional Wiener filter.
Keywords: radiometry; spectrogram; RFI; detection; mitigation radiometry; spectrogram; RFI; detection; mitigation
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Tarongi, J.M.; Camps, A. Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis. Algorithms 2011, 4, 239-261.

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