Zhongshan HF Radar Elevation Calibration Based on Ground Backscatter Echoes

The super dual auroral radar network (SuperDARN) is an important tool in the remote sensing of ionospheric potential convection middle and high latitudes, also a major source elevation data detection. A reliable angle helps estimate propagation paths high-frequency radio signals between scattering spots radars, which crucial for determining target geolocation. SuperDARN uses interferometry to returned signal. However, are still underutilized owing difficulties phase difference calibration induced by time delay two arrays. This paper statistically analyzes distribution features group range-elevation range-virtual height before after using from ground backscatter echoes Zhongshan radar, calculating root mean square error (RMSE) virtual height; results show that RMSE mostly reduced within 54% calibration. Furthermore, we validate factor based on primary data. 2013 2015 indicate this technique can be efficiently used daily factor. Finally, present statistical factor, provides technical support future.