Abstract
Successfully imaging of airborne SAR requires that Doppler centroid frequency be accurately estimated. Energy balancing method is a classical method to solve this problem, whereas its performance relies heavily on the homogeneity of the scene. In this paper, the spectra of prominent point targets are analyzed, and then an adaptive algorithm based on Gaussian curve fitting is proposed to eliminate the impact of prominent point targets in the scene. Random estimation error is further eliminated by using linear fitting of estimations from each range cell. The results of simulations and the imaging of raw data prove the veracity of this algorithm.
