DocumentCode :
142685
Title :
Divide and conquer: A fast matrix inverse method of iterative adaptive approach for real beam superresolution
Author :
Yongchao Zhang ; Yin Zhang ; Wenchao Li ; Yulin Huang ; Jianyu Yang
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
698
Lastpage :
701
Abstract :
This paper present an efficient matrix inverse algorithm of the recent iterative adaptive approach (IAA) in the application of real beam superresolution (RBS). Based on the inherently band structure of the covariance matrix, the computational complexity of inverse can be reduced by avoiding the computation of zero elements. To achieve this, the divide and conquer (D&C) method will be introduced to fast inverse the covariance matrix. Numerical simulations illustrate the efficiency of the proposed algorithm.
Keywords :
computational complexity; covariance matrices; image resolution; inverse problems; iterative methods; numerical analysis; radar imaging; radar resolution; D&C method; IAA; RAR imaging; RBS; band structure; computational complexity; covariance matrix; divide and conquer method; fast matrix inverse method; iterative adaptive approach; numerical simulation; real aperture radar imaging; real beam superresolution; Azimuth; Complexity theory; Covariance matrices; Image resolution; Imaging; Radar imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6946519
Filename :
6946519
Link To Document :
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