Title :
Sparse MIMO Array Forward-Looking GPR Imaging Based on Compressed Sensing in Clutter Environment
Author :
Jungang Yang ; Tian Jin ; Xiaotao Huang ; Thompson, John ; Zhimin Zhou
Author_Institution :
Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
This paper presents a sparse multiple-input and multiple-output (MIMO) array and sparse frequency ground-penetrating radar (GPR) imaging scheme based on compressed sensing (CS). Since the targets of interest for GPR are usually sparse, the number of the MIMO array elements and frequencies can be reduced using CS theory. Thus, the system complexity and data acquisition time can be reduced accordingly. Considering the serious clutter in forward-looking GPR, we propose two methods for the CS reconstruction in clutter environment. The first one is a clutter suppression preprocessing method, which can effectively suppress the azimuth clutter and short range clutter outside the reconstruction region and significantly improve the reconstruction result. The second one is to determine the regularization parameter for the CS reconstruction in clutter environment. We refer to this reconstruction process as basis pursuit declutter. The proposed imaging scheme can produce pointlike and less cluttered images of sparse targets using fewer array elements and frequencies. Results from simulated data, trihedral reflector, and real buried land mine experimental data are presented to show the validity of the proposed methods. The experimental data are acquired by the vehicle-mounted stepped-frequency forward-looking ground-penetrating virtual aperture radar, which is designed and developed by the National University of Defense Technology.
Keywords :
MIMO radar; compressed sensing; data acquisition; data compression; ground penetrating radar; image coding; image reconstruction; interference suppression; radar clutter; radar imaging; CS; National University of Defense Technology; azimuth clutter suppression preprocessing method; basis pursuit declutter; compressed sensing; data acquisition; forward-looking ground-penetrating virtual aperture radar; ground-penetrating radar; multiple-input multiple-output array; real buried land mine experimental data; sparse MIMO array forward-looking GPR imaging; trihedral reflector; vehicle-mounted stepped-frequency radar; Arrays; Clutter; Ground penetrating radar; Image reconstruction; MIMO; Transmitters; Compressed sensing (CS); ground-penetrating radar (GPR); land mine detection; multiple-input and multiple-output (MIMO) array; stepped frequency;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2013.2282308