Title :
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
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;
Conference_Titel :
Ground Penetrating Radar (GPR), 2012 14th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-2662-9
DOI :
10.1109/ICGPR.2012.6254886
