Author(s)

Wang Rui

Corresponding Author

Wang Rui

Abstract

In order to realize dynamic allocation of electromagnetic spectrum in complex electromagnetic environment, a dynamic allocation algorithm of electromagnetic spectrum in complex electromagnetic environment based on spatial dynamic feature matching is proposed. The method comprises the following steps of: constructing an associated beam characteristic analysis model for dynamic allocation of electromagnetic spectrum in a complex electromagnetic environment; detecting electromagnetic spectrum characteristics in the complex electromagnetic environment by adopting a spectrum characteristic decomposition method; performing association dimension analysis according to high-order statistical characteristic quantity distribution attributes of electromagnetic spectrum data in the complex electromagnetic environment; extracting fuzzy correlation characteristic quantities and association distribution attribute sets of electromagnetic spectrum data in the complex electromagnetic environment; Combined with electromagnetic spectrum load mining method, statistical analysis of dynamic allocation of electromagnetic spectrum in complex electromagnetic environment is carried out, fuzzy correlation fusion model of dynamic allocation of electromagnetic spectrum in complex electromagnetic environment is established, multi-scale wavelet decomposition method is used for feature extraction in dynamic allocation of electromagnetic spectrum in complex electromagnetic environment, feature extraction and classification model of dynamic allocation of electromagnetic spectrum in complex electromagnetic environment are established, large data fusion method is used for pattern matching and spatial dynamic spectrum resource allocation of dynamic allocation of electromagnetic spectrum in complex electromagnetic environment, and optimization of dynamic allocation of electromagnetic spectrum in complex electromagnetic environment is realized according to spectrum convergence result. The simulation results show that the method has better adaptability for dynamic allocation of electromagnetic spectrum in complex electromagnetic environment, higher accuracy for allocation of electromagnetic spectrum resources, and improved the ability of electromagnetic spectrum detection and feature analysis in complex electromagnetic environment.

Keywords

Spatial dynamic spectrum resources, Distribution characteristics, Complex electromagnetic distribution data, Dynamic spectrum, Feature allocation