Identification and Removal of Ground Echoes and Anomalous Propagation Using the Characteristics of Radar Echoes
2006 ◽
Vol 23
(9)
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pp. 1206-1222
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Abstract This paper explores the removal of normal ground echoes (GREs) and anomalous propagation (AP) in ground-based radars using a fuzzy logic approach. Membership functions and their weights are derived from the characteristics of radar echoes as a function of radar reflectivity. The dependence on echo intensity is shown to significantly improve the proper identification of GRE/AP. In addition, the proposed method has a better performance at lower elevation angles. The overall performance is comparable with that from a polarimetric approach and can thus be easily implemented in operational radars.
2017 ◽
Vol 12
(2)
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pp. 16
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2020 ◽
Vol 39
(2)
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pp. 14-21
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2019 ◽
Vol 28
(4)
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pp. 486-500
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