| contributor author | Cho, Yo-Han | |
| contributor author | Lee, Gyu Won | |
| contributor author | Kim, Kyung-Eak | |
| contributor author | Zawadzki, Isztar | |
| date accessioned | 2017-06-09T17:23:15Z | |
| date available | 2017-06-09T17:23:15Z | |
| date copyright | 2006/09/01 | |
| date issued | 2006 | |
| identifier issn | 0739-0572 | |
| identifier other | ams-84297.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4227617 | |
| description 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. | |
| publisher | American Meteorological Society | |
| title | Identification and Removal of Ground Echoes and Anomalous Propagation Using the Characteristics of Radar Echoes | |
| type | Journal Paper | |
| journal volume | 23 | |
| journal issue | 9 | |
| journal title | Journal of Atmospheric and Oceanic Technology | |
| identifier doi | 10.1175/JTECH1913.1 | |
| journal fristpage | 1206 | |
| journal lastpage | 1222 | |
| tree | Journal of Atmospheric and Oceanic Technology:;2006:;volume( 023 ):;issue: 009 | |
| contenttype | Fulltext | |