Robust Capon Filter Bank based three dimensional structure superresolution algorithm

Author

Wang, Jian ; Song, Qian ; Zhou, Zhimin

Author_Institution

Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China

fYear

2012

fDate

22-27 July 2012

Firstpage

598

Lastpage

601

Abstract

A time domain 3D Rank Deficit Robust Capon Filter Bank (RD-RCFB) is presented. An additional preprocess and postprocess are adopted to transform the time domain model into the frequency domain model. And matrix vectorization is used to reduce the dimension. Optimal implement of the algorithm is discussed by comparing the cascading 1D RD-RCFB, cascading 2D RD-RCFB and 3D RD-RCFB. The algorithm outperforms the 3D Adaptive Sidelobe Reduction (ASR) and the 3D Amplitude and Phase Estimation of a Sinusoid(APES). Simulated planar aperture 3D image processing verified the algorithm.

Keywords

geophysical image processing; geophysical techniques; geophysics computing; radar imaging; solid modelling; synthetic aperture radar; 3D RD-RCFB; 3D adaptive sidelobe reduction; 3D structure superresolution algorithm; cascading 1D RD-RCFB; cascading 2D RD-RCFB; frequency domain model; matrix vectorization; robust capon filter bank; sinusoid 3D amplitude; sinusoid phase estimation; synthetic aperture radar image processing; time domain model; Filter banks; Image resolution; Robustness; Signal processing algorithms; Signal resolution; Synthetic aperture radar; Time domain analysis; APES; ASR; RCFB; superresolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6351523

Filename

6351523