An Eigenspace-Like Algorithm for Multibaseline InSAR Phase Unwrapping
In this work we present an eigenspace-like technique for the estimation of the unwrapped phase which is based on the model of the multibaseline joint data group. The method is shown to work well even in the presence of the image coregi strati on misalignment and the steering vector mismatch,and has the ability to overcome the conflict associated with the computational complexity and the lack of the independent and identically distributed (i.i.d.) samples. The performance analysis of the technique is carried out based on Monte Carlo simulation;- and cramer-Rao lower bounds (CRLBs) calculation.Numerical results on simulated data demonstrate the efficiency and precision of the proposed method.
phase unwrapping eigenspace-like beamforming interferometry multibaseline joint data group array processing
Zhijie Mao Guisheng Liao Xiangyang Liu Yi Qu
National Key Lab of Radar Signal Processing,Xidian Univ.,Xian710071,China Xian Communication Inst, National Key Lab of Radar Signal Processing,Xidian Univ.,Xian710071,China
国际会议
2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)
西安
英文
779-783
2009-10-26(万方平台首次上网日期,不代表论文的发表时间)