《计算机应用研究》|Application Research of Computers

基于DW特征参数的GNSS-R海面风速反演研究

Research on sea wind speed inversion of GNSS-R based on DW feature parameters

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作者 刘原华,郭顺利,牛新亮
机构 1.西安邮电大学 通信与信息工程学院,西安 710121;2.中国空间技术研究院 西安分院,西安 710000
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文章编号 1001-3695(2019)05-017-1360-03
DOI 10.19734/j.issn.1001-3695.2017.11.0779
摘要 传统上,机载风速反演一般使用相关功率曲线后沿直接匹配方法,该方法需从实测数据中提取状态信息生成理论波形,而从实测数据中提取状态信息是有误差的,导致生成的理论波形存在误差,从而反演效果不好。对此,提出一种新的基于一维时延功率波形特征参数的风速反演方法,该方法根据风速对一维时延功率曲线时延窗的影响,建立以一维时延功率曲线时延窗作为特征参数的风速反演模型。实验结果表明,新方法的精度为0.77 m/s,相比传统方法,精度提高了33.04%,且模型简单。
关键词 相关功率曲线; 风速; 一维时延功率波形特征参数; 一维时延相关功率; 时延窗
基金项目 陕西省自然科学基础研究计划项目(2016JQ6033)
本文URL http://www.arocmag.com/article/01-2019-05-017.html
英文标题 Research on sea wind speed inversion of GNSS-R based on DW feature parameters
作者英文名 Liu Yuanhua, Guo Shunli, Niu Xinliang
机构英文名 1.College of Communications & Information Engineering,Xi'an University of Posts & Telecommunications,Xi'an 710121,China;2.Xi'an Branch of China Academy of Space Technology,Xi'an 710000,China
英文摘要 Traditionally, airborne sea surface wind speed inversion generally uses relevant power curve directly matching method, this methods need to extracted state information from the actual measurement data for generating theoretical waveform, however, the state information extracted from the actual measurement data is existed error, so that there is an error in the theoretical waveform, thus, the inversion result is not accurate. This paper proposed a new method of wind speed inversion based on one-dimensional delay power waveform characteristic parameters, the method was based on the influence of wind speed on delay window of one dimensional delay power curve, it established the inversion model of wind speed by using the time delay window of one dimension delay power curve as the characteristic parameter. The experimental results show that the accuracy of the new method is 0.77 m/s. Compared to traditional methods, the accuracy is improved by 33.04%, and the model is simple.
英文关键词 correlation power curve; wind speed; one-dimensional delay power waveform characteristic parameters; one-dimensional delay correlation power; window of time delay
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收稿日期 2017/11/14
修回日期 2017/12/28
页码 1360-1362
中图分类号 TP7;TP391
文献标志码 A