Title :
Optimal spectral windows for microwave diversity imaging
Author :
Farhat, Nabil H. ; Bai, Baocheng
Author_Institution :
Moore Sch. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA
fDate :
7/1/1991 12:00:00 AM
Abstract :
Tomographic microwave diversity imaging is analyzed using linear system theory concepts, and optimal spectral windows for data acquisition are obtained either by considering window position in the spectral domain or by using simulated annealing to find an optimal phase weighting of the object frequency response samples collected over the specified spectral window. This study provides a means of microwave image formation that is applicable under general assumptions. Results of numerical simulations and representative images reconstructed from realistic experimental microwave scattering data are given, demonstrating that the proposed approach is superior to previous image reconstruction methods
Keywords :
microwave imaging; optimisation; simulated annealing; data acquisition; image reconstruction; linear system theory concepts; microwave diversity imaging; microwave scattering; object frequency response; optimal phase weighting; optimal spectral windows; simulated annealing; tomography; Analytical models; Data acquisition; Frequency response; Image analysis; Image reconstruction; Linear systems; Microwave imaging; Microwave theory and techniques; Simulated annealing; Tomography;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
