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Based on the data observed by the Xband dualpolarization mobile radar located at Lingang owned by the Shanghai Meteorological Service, the fixed ground clutter echo of the East China Sea Bridge can be recognized with reflectivity, differential reflectivity and correlation coefficient. Then the Geodesics and HRAP algorithms are introduced to transform the position of fixed ground clutter echoes from polar coordinate to geographic coordinate. The GPSmeasured geographic position of Hulu Highway (East China Sea Bridge section) from the National Geomatics Center of China is regarded as the true value. These two algorithms are examined separately under two types of atmospheric conditions: the clear echo with low humidity and the precipitation echo with high humidity. The verification algorithms include two methods: the number of samples located inside the bridge polygon (polygon verification) and the distance from the bridge centerline (centerline verification). The result shows that the Geodesics algorithm performs better compared with the HRAP algorithm both in polygon verification and centerline verification, indicating its importance in the practical application of radar projection conversion.