Abstract

This paper proposes a 2-dimensional low computational cost mirror Kirchhoff approximation (MKA) and the design of simulation parameters to accurately predict the shadowing gain for an arbitrarily shaped conductor cylinder. The disadvantages of the conventional MKA, such as lacking designs for the simulation parameters and a limited applicable range, have motivated the establishment of an extended MKA. The authors propose the design of the simulation parameters for MKA. The applicable range of MKA is extended to an arbitrarily shaped cylinder by multiple planes. This work finds that only the space domain of the zeroth plane and the angular spectrum domain of the last plane need separate windowing functions for accuracy and the calculation time. The details of those windowing functions are introduced, and their necessities are explained. The authors validate the proposed method for an elliptical conductor cylinder with the size of the human body at millimeter waves (17 GHz – 66.5 GHz). Simulations are conducted by changing the object’s location, direction, and frequencies. The results show that the proposed method presents a good accuracy, which has a low root-mean-square error of less than 0.5 dB by comparing it with a full-wave approach based on the method of moment. Furthermore, the calculation time is improved by 1.4 – 67.2 times by comparing it with the uniform theory of diffraction using special functions.

Highlights

  • DISCUSSIONS The results showed that the proposed low computational cost mirror Kirchhoff approximation (MKA) achieves a good accuracy with a low root-mean-square error of less than 0.5 dB, compared with the MoM as a reference

  • The calculation time of low computational cost MKA was improved by 1.4 – 67.2 times compared with the uniform theory of diffraction (UTD) using special functions

  • This paper proposed a design for the MKA simulation parameters

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Summary

Introduction

P REDICTION techniques for forward scattering problems are widely used in wireless communication [1] and radar studies [2]. Full-wave electromagnetic approaches (e.g., finite-difference time-domain (FDTD) method [11], method of moment (MoM) [12], multilevel fast multipole algorithm (MLFMA) [13], and finite element method (FEM) [14]), have been used to predict the shadowing effect. These methods solve Maxwell’s equations directly and have a good accuracy. A high computational cost is a significant drawback for largescale problems Another branch of deterministic models, namely, high-frequency asymptotic approximations, is expected to reduce the computational complexity. Highfrequency asymptotic approximation can be divided into raybased and source-based methods

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