Hybrid Electromagnetic Signal Feature Extraction

Abstract

In the complex electromagnetic environment, the large number of pulse loss (data loss) and the serious overlap of signal parameter space destroy the signal regularity used by the traditional sorting method and finally make the existing signal sorting algorithm difficult to obtain satisfactory sorting effect or even completely invalid. On the basis of considering several key characteristic indexes (pulse width, carrier frequency, and arrival time), a multiparameter and five-layer mutual coupling sorting algorithm is designed. In particular, a new key feature index extraction method is proposed to study the feature vectors contained in the data and establish the corresponding mathematical model, which is finally applied to the sorting of various communication signals. The numerical results show that the five-step sorting method can be used to separate signals with serious overlap and partial missing data.

A Fast Coupled Iterative Approach for Computing 3D Composite Scattering from Dielectric Rough Surfaces and Target

“…T he scattering field is the result of the interaction between electromagnetic waves and irradiated objects. The scattered echoes from the object usually contain information about the geometric shape and electromagnetic parameters of the irradiated object, providing important information for target recognition [1][2][3][4] and feature extraction [5][6][7][8][9].…”