Passive Multifrequency Forward-Scatter Radar Measurements of Airborne Targets Using Broadcasting Signals

This paper demonstrates the feasibility and effectiveness of forward-scatter radar (FSR) target detection based on the signals of opportunity made available by standard radio and TV broadcast transmission stations. This passive FSR (P-FSR) operation is obtained by means of a simple and robust correl...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems Vol. 53; no. 3; pp. 1067 - 1087
Main Authors: Contu, Micaela, De Luca, Alessandro, Hristov, Stanislav, Daniel, Liam, Stove, Andy, Gashinova, Marina, Cherniakov, Mikhail, Pastina, Debora, Lombardo, Pierfrancesco, Baruzzi, Aurora, Cristallini, Diego
Format: Journal Article
Language:English
Published: New York IEEE 01-06-2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:This paper demonstrates the feasibility and effectiveness of forward-scatter radar (FSR) target detection based on the signals of opportunity made available by standard radio and TV broadcast transmission stations. This passive FSR (P-FSR) operation is obtained by means of a simple and robust correlation process based on self-mixing. This is shown to be very effective in extracting the characteristic FSR modulation produced by airborne targets, from the signals received from frequency modulated, digital audio broadcasting, and digital video broadcasting transmitters of opportunity. Target detectability is discussed as a function of the carrier frequency, the target size, and its height at the baseline crossing. Experimental results are shown using a wide variety of sources of opportunity, target types, baselines, and receiver configurations. The target signatures obtained from the different illuminators are compared and ways of extracting the kinematic parameters of the aircraft are discussed. This validates the claimed effectiveness and robustness of the P-FSR with the presented processing scheme.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2017.2649198