Title :
Iterative adaptive method for real-beam scanning imaging
Author :
Yin Zhang ; Yulin Huang ; Junjie Wu ; Yongchao Zhang ; Yuebo Zha ; Jianyu Yang
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
This paper present a novel superresolution algorithm for real-beam scanning radar based on the iterative adaptive strategy. Firstly, we establish the objective function based on the minimum mean-square error (MMSE) criterion, then we build the iterative expression by update the covariance matrix. This algorithm has better superresolution performance than traditional deconvolution method. Simulation results verified the analysis before.
Keywords :
covariance matrices; deconvolution; geophysical image processing; geophysical techniques; image resolution; iterative methods; mean square error methods; radar imaging; covariance matrix; deconvolution method; iterative adaptive method; minimum mean-square error criterion; real-beam scanning imaging; real-beam scanning radar; superresolution algorithm; Covariance matrices; Image resolution; Iterative methods; Radar imaging; Signal resolution; Simulation; MMSE criterion; Superresolution; iterative adaptive strategy;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946765
