BPSO and Parallel FDTD Algorithm for RCSReduction Design of Target GeometricParameters
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Graphical Abstract
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Abstract
This paper focuses on high-speed design of
geometric parameters of any given target for Radar cross
section (RCS) reduction. The Binary particle swarm op-
timization (BPSO) and the Finite-di®erence time-domain
(FDTD) method are combined to acquire a given object's
optimum geometric parameters that would lead to its min-
imal monostatic RCS. To promote the computation speed
as well as the computation capacity in a further way, a par-
allel FDTD code is imported in this paper. A basic strat-
egy to reduce RCS of a canonical target is proposed. As an
illustration of the ability of the optimizing method, the al-
gorithm is applied to optimize the position and the width of
the slot, which may reduce the monostatic RCS. To verify
the e®ectiveness of the algorithm, all possible conditions
in this problem are simulated and it is well shown that
the optimizer could search out the minimal or subminimal
solution quickly and e®ectively.
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