Treffer: A Study of Various Clustering Algorithms Used for Radar Signal Sorting

Radar signal sorting plays a significant part in radar countermeasure technology and reconnaissance systems. By means of radar signal sorting, several radars and their parameters in the battlefield are precisely recognized and placed in the radar records for subsequent positioning and jamming processing. The basic sorting methods cannot fulfill the sorting process with accurate and efficient results. Therefore, in this paper, we conduct a study on two main classes clustering techniques, the first is hierarchical based clustering, and the second one is partition based clustering, which have different characteristics into groups of pulses and they can sort and handle large number of radar sequence with high precision and accuracy. The numerical simulations studied and compared both methods under different perspectives to clarify a new directions based on the insightful investigations of these sorting techniques.