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雷达高度计是测量海洋动力参数的重要传感器,为解决雷达高度计在近海测量数据不可用的问题,基于大量波形的分析及已有波形重构算法的比较,本文提出了一种基于波形分类和子波形提取的近海波形重构算法(OceanCS).采用了验潮站的实测水位以及浮标的实测有效波高数据对算法的结果进行了验证.结果表明,本文提出的算法在近海的回波波形处理方面要优于其他五种算法(海洋算法、OCOG算法、Ice-2算法、Beta5算法和阈值算法),并且不仅可反演海面高度、还可反演有效波高.通过对高度计的近海回波波形进行重构处理,可以提高近海测高数据的数量和质量.
Radar altimeter is an important sensor to measure ocean dynamic parameters. To solve the problem that radar altimeter can not be used in offshore measurement data, based on the analysis of large number of waveforms and comparison of existing waveform reconstruction algorithms, (OceanCS). The results of the algorithm are verified by using the measured water level of the tide gauge and the measured effective wave height of the buoy.The results show that the proposed algorithm is superior to the echo processing in the offshore In addition to the other five algorithms (ocean algorithm, OCOG algorithm, Ice-2 algorithm, Beta5 algorithm and threshold algorithm), and not only can invert the sea surface height, but also valid wave height inversion.By altering the offshore echo waveform of the altimeter Processing, can improve the number and quality of offshore altimeter data.