| contributor author | Dabas, Alain | |
| date accessioned | 2017-06-09T14:12:45Z | |
| date available | 2017-06-09T14:12:45Z | |
| date copyright | 1999/01/01 | |
| date issued | 1999 | |
| identifier issn | 0739-0572 | |
| identifier other | ams-1479.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4150389 | |
| description abstract | The author proposes a heuristic semiempirical model for predicting the reliability of a matched-filter frequency estimator applied to Doppler lidar signals. The model is tuned by a single coefficient ? empirically related to the ratio of the number of signal samples per estimate over the number of speckles. It can deal with any signal characteristics (spectrum width, number of samples, etc.) as well as any factor of accumulation. | |
| publisher | American Meteorological Society | |
| title | Semiempirical Model for the Reliability of a Matched Filter Frequency Estimator for Doppler Lidar | |
| type | Journal Paper | |
| journal volume | 16 | |
| journal issue | 1 | |
| journal title | Journal of Atmospheric and Oceanic Technology | |
| identifier doi | 10.1175/1520-0426(1999)016<0019:SMFTRO>2.0.CO;2 | |
| journal fristpage | 19 | |
| journal lastpage | 28 | |
| tree | Journal of Atmospheric and Oceanic Technology:;1999:;volume( 016 ):;issue: 001 | |
| contenttype | Fulltext | |
