基于残差理论深入分析和比较了 2种最主要的干涉 SAR相位展开方法积分路径法和最小均方法的策略及性能。对加权最小均方算法从初始值和权值进行了讨论 ,给出了一种合成加权多重网格算法。该算法结合了分支阻断方法简单快速并有一致解的特点 ,使它为多重网格最小均方算法提供初始值 ,加速了多重网格算法的收敛 ;并采用由相位导数方差生成的二值质量图替代相关系数作为权值输入 ,增强了算法的适应能力及可靠性。实际 X-SAR数据的相位展开处理结果验证了本文的分析和结论。 Based on the residual theory, the methods and performance of the two most important methods of phase unwrapping by integrated SAR and least mean method are analyzed and compared. The weighted least mean squares algorithm is discussed from the initial value and the weight, and a composite weighted multigrid algorithm is given. Combining the simple and consistent branch blocking method, this algorithm provides an initial value for the MLM algorithm and accelerates the convergence of the multi-grid algorithm. The algorithm uses the binary value generated by the phase derivative variance The quality map substitutes the correlation coefficient as the weight input, which enhances the adaptability and reliability of the algorithm. The results of the phase unwrapping of the actual X-SAR data verify the analysis and conclusion of this paper.