The iterative phase retrieval based on phase diversity technologies can solve the stagnation problem of Gerchberg–Saxton algorithm which performs Fourier transform to iterate back and forth between the object and spectral planes with known constraints. However, the application of phase diversity technologies in iterative phase retrieval methods will bring in multiple physical parameters such as distances or wavelengths. The measured accuracy of these physical parameters will ultimately affect the accuracy of the iterative phase retrieval methods. In this paper, a physical parameters estimation method which has the advantages of high global convergence and local convergence is proposed to improve the accuracy of iterative phase retrieval methods. Meanwhile, this method is introduced in the single-beam multiple-intensity reconstruction (SBMIR), termed PE-SBMIR, and its performance is verified by simulations and experiments. By simulating multiple sets of distance parameters with errors, the retrieved accuracy using PE-SBMIR can be improved by 2–4 orders of magnitude compared with SBMIR. Experimental results show that whether it is an amplitude-type object or phase-type object, the accuracy using PE-SBMIR is significantly higher than using SBMIR. The physical parameters estimation method proposed in this paper may be adopted in other iterative phase retrieval methods using phase diversity technologies.

基于相位分集技术的迭代相位检索可以解决Gerchberg-Saxton算法的停滞问题，该算法通过傅里叶变换在已知约束的物体平面和谱平面之间来回迭代。然而，相位分集技术在迭代相位检索方法中的应用会带来多个物理参数，如距离或波长。这些物理参数的测量精度最终会影响迭代相位反演方法的精度。本文提出了一种具有全局收敛性和局部收敛性高的物理参数估计方法，以提高迭代相位检索方法的准确性。同时，在单光束多强度重建（SBMIR）中引入了这种方法，称为 PE-SBMIR，其性能通过模拟和实验得到验证。通过模拟多组有误差的距离参数，与 SBMIR 相比，使用 PE-SBMIR 的检索精度可以提高 2-4 个数量级。实验结果表明，无论是幅度型物体还是相位型物体，使用PE-SBMIR的精度都明显高于使用SBMIR。本文提出的物理参数估计方法可以在其他使用相位分集技术的迭代相位检索方法中采用。实验结果表明，无论是幅度型物体还是相位型物体，使用PE-SBMIR的精度都明显高于使用SBMIR。本文提出的物理参数估计方法可以在其他使用相位分集技术的迭代相位检索方法中采用。实验结果表明，无论是幅度型物体还是相位型物体，使用PE-SBMIR的精度都明显高于使用SBMIR。本文提出的物理参数估计方法可以在其他使用相位分集技术的迭代相位检索方法中采用。