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Radio Frequency Interference Detection and Mitigation Algorithms Based on Spectrogram Analysis

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.
Algorithms 2011, 4(4), 239-261;
Received: 26 August 2011 / Revised: 3 October 2011 / Accepted: 13 October 2011 / Published: 25 October 2011
PDF [1428 KB, uploaded 25 October 2011]


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. View Full-Text
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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MDPI and ACS Style

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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