GNSS SNR信号反演大坝水位变化

Using GNSS Signal-to-Noise Ratio to Measure Dam Water Level Changes

通过采集GNSS信噪比(SNR)数据,基于水面反射的GNSS多路径信号特性,分析信号频率、高度角范围及弧段长度等因素对大坝水位反演结果的影响。结果表明,大坝水位变化反演结果与实测水位数据具有良好的一致性,相关系数在0.9以上,GPS反演精度为0.1~0.15 m,BDS反演精度为0.35~0.45 m,GPS和BDS联合反演精度为0.1~0.13 m,优于单系统反演精度。

This paper uses GNSS signal-to-noise ratio(SNR)data to obtain the dam water level changes.Based on the multi-path signal characteristics of water surface reflection,this paper analyzes the influence of signal frequency,altitude angle range and arc length on the water level inversion results of power station dams.We compare the water level inversion results with the measured water level data of the dam.The experimental results show that the two results have good consistency;the correlation coefficient is above 0.9;the water level retrieval accuracy of the GPS system is 0.1-0.15 m;the water level retrieval accuracy of the BDS system is 0.35-0.45 m;and the combined inversion accuracy of the GPS and BDS systems is 0.1-0.13 m,which is better than the single system retrieval precision.