Open AccessImproved weighted least‐squares phase unwrapping method for interferometric SAR processing
Author(s) -
Hui Yu,
Wenying Wang,
Long Zhuang,
Wanming Lei,
Xin Nie,
Pin Li
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0373
Subject(s) - phase unwrapping , algorithm , computer science , compensation (psychology) , least squares function approximation , phase (matter) , iterative method , phase noise , noise (video) , phase compensation , interferometry , mathematics , artificial intelligence , statistics , optics , electronic engineering , image (mathematics) , telecommunications , engineering , psychology , physics , chemistry , organic chemistry , estimator , psychoanalysis , bandwidth (computing)
Based on the study of existed least‐squares and weighted least‐squares phase unwrapping methods, an improved weighted least‐squares algorithm based on unwrapping phase error compensation is proposed. First, the conventional weighted least‐squares method is used to get the initial result of phase unwrapping. Then the unwrapping result is optimised by iterative compensation of phase unwrapping error. In addition, for the reasonable selection of the times of iteration, an iterative mechanism is designed to avoid the redundant or insufficient compensation caused by too many iterative times and too few. Compared with the traditional weighted least‐square method, by using the proposed method, the global influence of phase noise is constrained by weighted processing, and meanwhile, the accuracy of phase unwrapping is greatly improved by iterative error compensation. The simulation results confirm the superiority of the proposed method.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom