In this paper, we present a hybrid technique for designing RAM optimally to reduce the RCS of complex targets in a wide-band frequency range. The technique combines a high-frequency method and a genetic algorithm (GA) to obtain an optimal RAM in complex targets. By the virtue of the high-frequency method, such as the physical optics (PO) method and the method of equivalent currents (MEC), the proposed technique can be applied to complex targets with relative ease. However, the high-frequency method needs a classification of shadow regions as pre-processing. A Z-buffer algorithm is employed in this process. The procedure results in designing the optimal RAM which significantly reduces the RCS of complex targets.
Abstract|A useful method for monostatic RCS reduction of unavoidable shapes in desired frequency bandwidth and angle range is proposed. The proposed method is based on the concept of the random scatterer for RCS reduction and the genetic algorithm for optimization. PO, MEC, and SBR methods are used to obtain RCS. Target shapes whose RCS we want to reduce are basically a plate and nally a scale model tank. Results show that monostatic RCS of a xed shape can be reduced by the proposed method.
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