Adaptive radar pulses clustering based on density cluster window

As radar signal environments become denser and more complex, the capability of high-speed and accurate signal analysis is required for an ES(Electronic warfare Support) system to identify individual radar signals in realtime. This paper presents the adaptive clustering algorithm of radar pulses to alleviate the load of signal analysis process and support reliable analysis. The proposed clustering algorithm determines the size of cluster window based on the type of frequency modulation of received radar signals. Simulation results show the superior performance of the proposed algorithm over conventional sequential histogram and scan model.