Title :
Reconstruction algorithm for object determination from ultra-wideband field data
Author_Institution :
R. Mil. Coll. of Sci., Cranfield, UK
fDate :
31 March-3 April 2003
Abstract :
An inverse obstacle scattering method is presented for reconstructing the shape and effective constituent material parameters of a buried dielectric object from measured scattered field data collected above the surface of an air/ground interface. A forward model is developed based upon the linearised Born approximation and the dyadic Green´s function for a single homogeneous medium. The forward model is filtered for noise using the Tikhonov regularization operator and then inverted and back propagated. Experimental results are provided to illustrate the steps involved and the performance of the inverse scheme to extract constituent material parameters.
Keywords :
Green´s function methods; approximation theory; backpropagation; dielectric bodies; electromagnetic wave scattering; ground penetrating radar; landmine detection; object recognition; parameter estimation; Tikhonov regularization operator; air/ground interface; buried landmines; buried object; constituent material parameters; dielectric object; dyadic Green function; forward model; ground penetrating radar; homogeneous medium; inverse obstacle scattering method; linearised Born approximation; object determination; parameter estimation; shape reconstruction algorithm; ultra-wideband field data;
Conference_Titel :
Antennas and Propagation, 2003. (ICAP 2003). Twelfth International Conference on (Conf. Publ. No. 491)
Print_ISBN :
0-85296-752-7
DOI :
10.1049/cp:20030200