A ScanSAR Roll Angle Iterative Estimation Algorithm Based on Least Square Method
一种基于最小二乘法的星载ScanSAR滚动角迭代估计算法

This paper works on a critical issue of roll angle estimation in ScanSAR radiometric calibration. After a deep analysis of the relative discrepancies between constituent beams, an improved algorithm is proposed, whose estimation model takes into account both the relative gain discrepancy and the relative beam angular placement between constituent beams. By linearizing the estimation model, an iterative solution of the roll angle can be achieved by means of least square method. Through simulation the estimation accuracy of the proposed algorithm is evaluated under different SNR levels and compared with Dragosevic’s algorithm. The superiority of the proposed algorithm is proved with the results.