Layered Subsurface Radar Profiling with Combined ESPRIT and SVA Algorithms

Author

Zhang, Yunhua ; Gu, Xiang ; Zhai, Wenshuai ; Jiang, Jingshan

Author_Institution

Center for Space Sci. & Appl. Res., Chinese Acad. of Sci., Beijing

Volume

4

fYear

2008

fDate

7-11 July 2008

Abstract

In this paper, a high-performance profiling algorithm with the combination of ESPRIT and SVA (Spatially Invariant Apodization) was proposed. In the algorithm, SVA is firstly used to reduce the sidelobes of compressed pulses, because they could mask the weak signals reflected from subsequent subsurfaces, and ESPRIT is then used to get super-resolution profiling. Detailed simulations for one four-layer geometry with comparison of the results obtained by FFT plus ESPRIT and by SVA plus ESPRIT were presented to show the efficiency of the proposed algorithm.

Keywords

astronomical techniques; planets; spaceborne radar; ESPRIT; Estimation of Signal Parameters via Rotational Invariance Techniques; FFT; SVA; Spatially Invariant Apodization; compressed pulse sidelobes; layered subsurface radar profiling; weak signals reflection; Bandwidth; Dielectric losses; Frequency domain analysis; Ground penetrating radar; Intellectual property; Optical control; Pulse compression methods; Signal resolution; Spaceborne radar; Spatial resolution; ESPRIT; Layered subsurface; SVA; radar profiling;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-2807-6

Electronic_ISBN

978-1-4244-2808-3

Type

conf

DOI

10.1109/IGARSS.2008.4779934

Filename

4779934