小波变换和改进Burg算法的GNSS-IR海面高度反演模型

GNSS-IR Model of Sea Level Altimetry Inversion Combining Wavelet Transform with Improved Burg Algorithm

针对传统的GNSS-IR海面高度监测方法信号分离不佳且精度有待提高的问题,提出结合小波变换和改进Burg算法的新型GNSS-IR海面高度反演模型。相比于传统的多项式拟合法,小波变换得到的SNR振荡项更加完整、精确。改进的Burg算法能有效抑制峰值偏移或谱分裂现象,提高谱分析精度。基于瑞典Onsala空间天文台提供的GNSS数据和验潮仪数据的实验结果表明,优化后的海平面测高模型的反演结果与验潮仪数据具有较高的一致性,相比于传统的GNSS-IR海面测高模型精度提高约20%。

Aiming at the problem of signal separation and insufficient accuracy of traditional models, we propose a new GNSS-R sea level altimetry inversion model combining wavelet transform and an improved Burg algorithm. Compared with the traditional least squares fitting method, the SNR oscillation term obtained by wavelet transform is more complete and accurate. The improved Burg algorithm can effectively suppress peak shift or spectrum splitting, and improve the accuracy of spectrum analysis. We analyze the GNSS data and tide gauge data provided by the Onsala Space Observatory in Sweden. The results show that there is a high agreement between the inversion result of the optimized model and the measured data of tide gauge, and the accuracy is increased by about 20% compared with the traditional GNSS-IR sea level altimetry inversion model.