摘要
由于潮汐和波浪的周期相差甚远,对实时海面高程数据进行相应的低通和带通滤波即可提取潮位和波浪信息。通过对仿真的实时海面高程数据进行平滑滤波、中值滤波、小波滤波等低通滤波,以及椭圆、巴特沃斯等带通滤波结果分析表明:近岸GPS RTK技术可用于潮位和波浪同步测量;对于潮位信息的提取方面,平滑、中值、小波等低通滤波均能很好的提取出潮位信息,其中平滑滤波最佳,且工程中易于实现;对于波浪信息的提取方面,椭圆滤波、巴特沃斯、切比雪夫Ⅰ型等带通滤波均能很好提取出波浪信息。
As the period cycle of wave and tide had a wide difference,it was not complicated to extract tide and wave information from real-time sea level altitude data by way of corresponding low pass and band pass filters. After executing and analyzing the low pass filters of moving average, median, wavelet filters along with the band pass filters of elliptic, and Butterworth falters the result indicated： The technology of off-shore GPS RTK could be simultaneously applied to the measurement of tide and wave.It was clear that low pass filters of moving average, median, wavelet filters worked well in extracting tide information from simulation data. Among which, the average filter worked best and was easy to be realized; the of band pass filters, of elliptic, Butterworth, and first type of Chebyshev filters performed well in extracting wave information from simulation data.
出处
《海洋测绘》
CSCD
2016年第1期63-64,71,共3页
Hydrographic Surveying and Charting
基金
国家自然科学基金(41406114)
天津市自然科学基金(13JCQNJC03800
12JCQNJC02400)
关键词
GPS
RTK
潮位
波浪信息提取
滤波算法
仿真
GPS RTK
tide
wave information extraction
algorithms of filter
simulation
