Title :
An identification method for subsurface target based on polarization information
Author :
Xiao zhiwen ; He Jianguo
Author_Institution :
Air Force Dalian Commun. Sergeant Acad., Dalian, China
Abstract :
A method for subsurface metallic landmine recognition based on polar invariants is proposed. The electromagnetic characteristic on metallic landmine buried beneath using the FDTD computational model for subsurface landmine as shown in is calculated. The polarization invariants are analyzed according to the electromagnetic characteristic. The results show that the peak values of power matrix trace and depolarized coefficient on frequency domain are level-headed polar invariants. And they are able to be used to identify subsurface landmines from the clutter in Ground Penetrating Synthetic Aperture Radar (GPSAR). To realize target recognition quickly, the matching algorithm based on genetic algorithm is designed. The effectiveness of the proposed method is testified by identifying various targets.
Keywords :
electromagnetic wave polarisation; finite difference time-domain analysis; genetic algorithms; ground penetrating radar; iterative methods; landmine detection; radar clutter; radar detection; synthetic aperture radar; time-frequency analysis; FDTD computational model; GPSAR; electromagnetic characteristics; frequency domain coefficient; genetic algorithm; ground penetrating synthetic aperture radar; level-headed polarization information invariant; matching algorithm; power matrix tracing; radar clutter; subsurface metallic landmine recognition method; subsurface target identification method; target detection; target recognition; Clutter; Computational modeling; Finite difference methods; Genetic algorithms; Landmine detection; Polarization;
Conference_Titel :
Antennas, Propagation & EM Theory (ISAPE), 2012 10th International Symposium on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1799-3
DOI :
10.1109/ISAPE.2012.6408871
