Estimating wind speed in lower atmosphere wind profiler based on genetic algorithms

被引：0
|
作者：
Chen, YW [1 ]
Mendoza, N [1 ]
Uehara, S [1 ]
Nakao, Z [1 ]
Adachi, T [1 ]
Masuda, Y [1 ]
机构：
[1] Univ Ryukyus, Fac Engn, Okinawa 9030213, Japan
来源：
IMTC/2001: PROCEEDINGS OF THE 18TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-3: REDISCOVERING MEASUREMENT IN THE AGE OF INFORMATICS | 2001年
关键词：
wind profiler; wind speed; ground clutters; genetic algorithm; resolution of overlapped signals;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A lower atmosphere wind profiler (LAWP), which is a pulse Doppler radar, is a useful operation tool which can provide an unattended and continuous observation of wind profiles. Since the observed signals are usually degraded by ground clutters which are overlapped with the wind signal it is necessary to develop a method to estimate the wind signal from the observed signals. In this paper, we propose to use a genetic algorithm to resolve the overlapped signals.
引用
收藏
页码：1258 / 1263
页数：4
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