Fast Calculation For RCS Of Conducting Targets Based On RACA Algorithm

With the rapid development of electronic communication technology, the application of electromagnetic wave has become widespread and the electromagnetic scattering characteristic of the targets has also become the focus of study in engineering electromagnetics, it is also the information source of radar detection, electronic countermeasure, geological survey, stealth and anti-stealth technology. The analysis and study of electromagnetic scattering characteristic are still the key research direction in military and civilian technology, especially for the analysis of some electrically large or complex military targets. Therefore, how to propose an accurate and efficient numerical algorithm to analyze the electromagnetic scattering problems of electrically large targets is still the focus of attention in computational electromagnetics.The method of moments (MoM), as the basis of the whole research of this thesis, whose efficiency and accuracy has been fully validated, but the traditional MoM will need too long computation time and is low efficiency in handling electrically large targets and high frequency problems. To solve this problem, two efficient numerical methods are proposed in this thesis to calculate the radar cross section (RCS) of conductor targets.The first method is the equivalent dipole method (EDM) combined with the recompressed adaptive cross approximation algorithm (RACA) for calculating the RCS of conductor targets. EDM is advantageous to the rapid filling of impedance matrix elements, RACA algorithm can further compress the matrix from adaptive cross approximation (ACA) by singular value decomposition and reduce the matrix storage and accelerate the matrix-vector multiplication, the combination of the two methods can effectively reduce the computation time and memory consumption.The second method is RACA algorithm combined with improved characteristic basis function method (SVD-ICBFM) for calculating the RCS of conductor targets. The SVD-ICBFM has a great advantage on multiple excitation incident problems, it can significantly reduce the number of incident wave excitation and the computation time, combined with the RACA algorithm can further accelerate the generating of characteristic basis functions and the computation of the reduced matrix, which can also improve the computational efficiency and save memory.Several accurate and efficient numerical methods are analyzed systematically in this thesis for solving the RCS of conductor targets and an important reference value is provided for further study how to calculate the RCS of electrically large complex targets.