Angle Dependence Analysis Method to Determine SNR Arc Applied to GNSS-MR Sea Level Retrieval

• 作者: Xiaolei WANG Xiufeng HE Qin ZHANG Mingfeng SONG Zijin NIU
• 来源期刊: 测绘学报（英文版）
• 年，卷（期）: 2021,（2）
• 所属期刊栏目: Special Issue
• 页码范围: 14-26
• 页数: 13页
• 语种: 英文

摘要

The Global Navigation Satellite Systems ( GNSS) broadcast radio signals are continuously at two or more frequencies in the L-band, and the multipath signals from sea surface recorded by off-the-shelf geodetic receivers have been demonstrated they can be used to estimate sea level, using a technology called GNSS multipath reflectometry (GNSS-MR). Before proceeding to estimate reflection parameters, the azimuth range and elevation angle range are needed to be defined, as only with suitable azimuths and elevation angles the sensing zones can be guaranteed on water. So, this study presents an angle dependence analysis method to jointly select the azimuth range and elevation angle range based on wavelet analysis which can describe the non-stationary power of different sinusoidal oscillations changed with elevation angle. The key of this method is to use one grid model to screen the spectrum power of multipath oscillation on different elevation angles and azimuths in this work. Then the elevation angles and the azimuths can be determined by searching grids with greater power. The GPS and GLONASS data of two Multi-GNSS Experiment ( MGEX) stations named BRST and MAYG was analyzed and used to retrieve. Firstly, the angle dependence analysis was carried out to determine the elevation range and azimuth range. Secondly, the sea levels were retrieved from individual signals. Finally, the retrievals of individual signals are combined to form a 10-min sea level retrieval series. The RMSEs of the combined retrievals are both less than 15 cm. The results show the effectiveness of the selection of angle range based on the angle dependence analysis method.