Optimum polarization for foliage camouflaged target discrimination using a genetic algorithm

Author

Dehmollaian, Mojtaba ; Sarabandi, Kamal

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI

Volume

1B

fYear

2005

fDate

2005

Firstpage

286

Abstract

The coherent scattering model can be ran for many realizations of foliage around a hard target to obtain the statistical variations of foliage and target response in a Monte Carlo simulation. Foliage camouflaged target detection at low microwave frequencies is investigated, using a powerful foliage and hard target simulation tool which accounts for near-field interactions between the hard target and foliage. Based on fully polarimetric simulation results of a foliage camouflaged metallic target a polarization synthesis optimization method for improving signal to clutter is examined. A genetic algorithm is implemented for finding an optimal set of radar transmit and receive polarizations that maximizes target backscatter to clutter ratio

Keywords

Monte Carlo methods; backscatter; electromagnetic wave polarisation; electromagnetic wave scattering; genetic algorithms; radar clutter; radar polarimetry; Monte Carlo simulation; clutter; coherent scattering model; foliage camouflaged target discrimination; genetic algorithm; optimum polarization; polarimetric simulation; target backscatter; Genetic algorithms; Microwave frequencies; Object detection; Optimization methods; Polarization; Radar clutter; Radar polarimetry; Radar scattering; Radio access networks; Signal synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2005 IEEE

Conference_Location

Washington, DC

Print_ISBN

0-7803-8883-6

Type

conf

DOI

10.1109/APS.2005.1551545

Filename

1551545