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

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。

Traditionally, airborne sea surface wind speed inversion generally uses relevant power curve directly matching me- thod , 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.