Statistical modeling for the monostatic radar cross‐section characteristics of stealth aircraft using the Swerling‐chi/inverse generalized gamma composite distribution model

Abstract

In this article, a new Swerling-chi/inverse generalized gamma composite distribution model is proposed for modeling the monostatic radar cross-section (RCS) statistical characteristics of stealth aircraft. Under some conditions, the proposed distribution model can be reduced to the Fisher-Snedecor F distribution model and the Swerling-chi distribution model. A typical stealth aircraft without radar absorption materials (RAM) is selected as an application for simulation using the adaptive cross approximation (ACA) technique. Based on the nonlinear least-squares criterion, monostatic RCS statistical characteristics of the front sector of this aircraft are fitted using the proposed composite model. For the comparison purpose, monostatic RCS statistical characteristics of this aircraft are also fitted with the conventional RCS distribution models. Goodness-of-fit tests of the proposed distribution model and the conventional distribution models are analyzed in terms of the error-of-fit results and the R 2 test results. Simulation results validate the efficiency and robustness of the proposed distribution model. K E Y W O R D S composite distribution model, inverse generalized gamma distribution, radar cross-section, RCS statistical characteristics, stealth aircraft 2 | PROPOSED SWERLING-CHI/ INVERSE GENERALIZED GAMMA COMPOSITE MODEL In this section, a novel composite distribution model is proposed for modeling monostatic RCS statistical