Radar Sensor Signal Deinterleaving Through the Use of a Hypergeometrical Divide Algorithm Adapted to Pulse Clustering.

Deinterleaving of radar signals is an important issue in processing radiolocation data as a part of the analysis of complex electromagnetic signal environments. The introduction contains a draft of radiolocation signal deinterleaving. The authors began with a high-level view of contemporary challenges in radar signal processing and concluded with the genesis of the signals deinterleaving problem and its technical details. A chronicle of the Hypergeometrical Divide (HypGD) algorithm, describing important stages of its development, and a synthesis of knowledge from scientific reports on the examined method were also presented. The aim of this article is to define the performance of the HypGD algorithm adapted to the deinterleaving of radiolocation signals. The research focused on evaluating the clustering performance of the adapted HypGD algorithm, including its ability to determine groups corresponding to emission source types and to support the analysis of radar pulses in complex signal environments. The authors referred to recent publications in the field of radar signal deinterleaving to systematize the current state of knowledge in this area. A detailed, systematic review of significant works on the HypGD method and its applications was provided. The research used real, anonymized data. The results allowed the formulation of conclusions that contribute to the current state of knowledge. For the first time, the effectiveness of the HypGD algorithm adapted to the deinterleaving of radiolocation signals through pulse clustering has been demonstrated.