In this work, the authors proposed a new method for the above field calculation, which utilizes the analytical expression for the near fields radiated by an electrically small dipole. The proposed method is found to b...
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ISBN:
(纸本)9781424449682
In this work, the authors proposed a new method for the above field calculation, which utilizes the analytical expression for the near fields radiated by an electrically small dipole. The proposed method is found to be well suited for mitigating the problem of singularities encountered in the process of field computation while constructing the MoM matrix.
A modal analysis method is used to investigate scattering from conducting objects of rectangular cross-section, and to determine the variation of the radar cross-section due to the polarisation or direction of the inc...
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A modal analysis method is used to investigate scattering from conducting objects of rectangular cross-section, and to determine the variation of the radar cross-section due to the polarisation or direction of the incident wave and the effect of the mode coupling resulting from crosssectional perturbation from a circular cylinder. The traditional approach of surface integral equations in conjunction with a moment method is used to solve the problem numerically. A geometric transformation is used to select entire domain basisfunctions for the surface current along the cross-section. subdomain basis functions are used to represent the current component in the plane orthogonal to the cross-section. Owing to the geometric structure of the object the current modes are coupled. The degree of coupling and convergence of the modes are investigated. Representative results for objects of square and rectangular cross-sections are presented and discussed.
In this article, we propose a full-wave numerical approach called stochastic method of moments (SMoM), for analyzing the effects of uncertainties in the locations of elements in a random antenna array on its performan...
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In this article, we propose a full-wave numerical approach called stochastic method of moments (SMoM), for analyzing the effects of uncertainties in the locations of elements in a random antenna array on its performance characteristics. Using SMoM with subdomain basis functions converts the governing mixed potential integral equation to a matrix equation consisting of closed-form functions in terms of the random parameters. We then apply MacLaurin's series expansions on the derived matrix equation to find the stochastic current distributions on the array elements with controllable accuracy using different orders of MacLaurin's series. In this way, the mean values and standard deviations of the current distributions of array elements, and their other performance characteristics can be determined easily. The proposed method enjoys fast computation as well as controllable accuracy, and its results are compared with those obtained by the Monte Carlo method for verification.
An efficient MoM algorithm is introduced to analyse large travelling-wave structures, exemplified with a microstrip leaky wave antenna. The method utilises a combination of travelling-wave and subdomainbasis function...
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An efficient MoM algorithm is introduced to analyse large travelling-wave structures, exemplified with a microstrip leaky wave antenna. The method utilises a combination of travelling-wave and subdomain basis functions for the current expansion to minimise the number of unknowns in the analysis. The propagation constants which characterise the modal expansions are evaluated efficiently by the algorithm for the implementation of the travelling-wave basisfunctions. As a result the model overcomes computer memory problems encountered by the conventional MoM model in analysing large antennas where a large impedance matrix is needed. The algorithm is capable of generating results as accurate as that of the conventional method while achieving substantial reduction in computation time and resources.
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