Sidelobe suppression technique for SFCW GPR using the sparsity property of the received signal

Author

Qu, Leele ; Yang, Tianhong ; Li, Xuan ; Huang, Pingping

Author_Institution

Dept. of Electron. Inf. Eng., Shenyang Aerosp. Univ., Shenyang, China

fYear

2012

fDate

4-8 June 2012

Firstpage

340

Lastpage

344

Abstract

A sidelobe suppression algorithm based on compressive sensing (CS) theory for stepped-frequency continuous wave ground penetrating radar (SFCW GPR) is proposed. Due to sparse nature of the amplitude and time delay of signals reflected from underground layers and buried objects, an L₁-norm minimization regularization approach within the framework of CS is employed to reconstruct the super-resolution SFCW GPR time domain signal for sidelobe suppression. The simulation results validate the feasibility and effectiveness of our proposed method.

Keywords

compressed sensing; delays; ground penetrating radar; minimisation; L₁-norm minimization regularization; SFCW GPR; amplitude; compressive sensing; sidelobe suppression technique; stepped-frequency continuous wave ground penetrating radar; time delay; Amplitude estimation; Compressed sensing; Delay effects; Ground penetrating radar; Image resolution; Signal resolution; Signal to noise ratio; compressive sensing (CS); ground penetrating radar (GPR); sidelobe suppression; stepped-frequency continous wave (SFCW); super-resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Ground Penetrating Radar (GPR), 2012 14th International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4673-2662-9

Type

conf

DOI

10.1109/ICGPR.2012.6254886

Filename

6254886