In order to achieve the extraction of tide and wave information, we simulated the real-time sea level altitude data which measured by GPS RTK technology. As the period cycle of which had a wide difference, it was not complicated to extract tide and wave information from the simulation data by the way of corresponding low pass and band pass filter. After executing and analyzing the low pass filter of moving average, median, wavelet and the band pass filter of elliptic, Butterworth, it was general summarized as follows. (1)The technology of off-shore GPS RTK could be simultaneously applied to the measurement of tide and wave; (2)Low pass filter of moving average, median, wavelet performed well on extracting tide information from simulation data. In the beginning, Empirical Mode Decomposition (EMD) had a poor performance, afterwards, it became well. As a whole, median performed worst;(3)Band pass filter of elliptic, Butterworth, first type of Chebyshev performed well on extracting wave information from simulation data, second type of Chebyshev had a poor performance, as a whole, equiripple and Kelvin performed worst.%基于实现潮位和波浪信息的同步提取目的，采用仿真方法来获得近岸GPS RTK技术测得的实时海面高程数据，鉴于潮汐和波浪的周期相差甚远，对仿真数据进行相应的低通和带通滤波即可提取。通过对仿真数据进行平滑滤波、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：1）近岸GPS RTK技术可用于潮位和波浪同步测量；2）对于潮位信息的提取方面，平滑、小波、巴特沃斯低通滤波对仿真数据处理结果较好，经验模式分解（EMD）起始阶段结果较差，后续效果较好，效果最差的是中值滤波；3）对于波浪信息的提取方面，椭圆滤波、巴特沃斯、切比雪夫Ⅰ型效果较好，巴特沃斯Ⅱ型效果较差，equiripple和开尔文带通滤波效果最差。
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