Hybrid Electromagnetic Signal Feature Extraction
Jianming Dong · Wireless Communications and Mobile Computing · 2022
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.