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