Least Squares Contribution to Geodetic Time Series Analysis

2019 ◽  
pp. 185-209
Author(s):  
Alireza Amiri-Simkooei
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Least Squares ◽  
Series Analysis

The Application of MLAMBDA for Time Series Radar Interferometry

2012 ◽  
Vol 532-533 ◽  
pp. 1031-1035
Author(s):  
Jing Qin Mu ◽  
Sheng Zhan
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Least Squares ◽  
Radar Interferometry ◽  
Phase Ambiguity ◽  
Series Analysis ◽  
Ambiguity Decorrelation

The time series analysis for D-InSAR is a new kind of method. While modeling with Gauss-Markoff model and estimating parameters, how to search for integer phase ambiguity needs to be addressed. In the study, the modified least-squares ambiguity decorrelation adjustment algorithm (MLAMBDA) is applied for the optimal integer phase ambiguity. The problems about applying are analyzed and solved by many experiments. At last, the method is applied for the project of all Tianjin district and the result is correct and effective.

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