@article{LIU2024, 
author = {Lutao LIU and Jinkai LI and Pin LI},
title = {Multi-station fusion sorting algorithm for radar signals based on partial connection number trend},
year = {2024},
journal = {Journal of National University of Defense Technology},
volume = {46},
number = {6},
pages = {159-165},
keywords = {signal sorting, partial connection number, multi-station collaboration, multifunctional radar},
url = {https://www.sciopen.com/article/10.11887/j.cn.202406017},
doi = {10.11887/j.cn.202406017},
abstract = {Aiming at the situation that the existing sorting algorithms were more or less dependent on prior information or difficult to adapt to multi-function radar, a multi-station fusion sorting algorithm based on set pair potential of partial coefficients was presented. The partial connection number parameter was introduced from the set pair analysis in the mathematical field to establish a clustering model. On this basis, the decision level fusion of clustering results was carried out by using the arrival time difference parameter in the multi-station cooperation mode. The actual measurement data and simulation results show that the algorithm can adapt to multi-functional radar systems such as search, acquisition and tracking, and realize the accurate clustering and fusion of radar pulse signals without any prior information. The sorting success rate is more than 97% in case of the jamming pulse ratio is lower than 60%.}
}