Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2008.06a
- /
- Pages.973-974
- /
- 2008
Radar Pulse Clustering using Kernel Density Window
커널 밀도 윈도우를 이용한 레이더 펄스 클러스터링
- Lee, Dong-Weon (Agency for Defense Development) ;
- Han, Jin-Woo (Agency for Defense Development) ;
- Lee, Won-Don (Chungnam National University)
- Published : 2008.06.18
Abstract
As radar signal environments become denser and more complex, the capability of high-speed and accurate signal analysis is required for ES(Electronic warfare Support) system to identify individual radar signals at real-time. In this paper, we propose the new novel clustering algorithm of radar pulses to alleviate the load of signal analysis process and support reliable analysis. The proposed algorithm uses KDE(Kernel Density Estimation) and its CDF(Cumulative Distribution Function) to compose clusters considering the distribution characteristics of pulses. Simulation results show the good performance of the proposed clustering algorithm in clustering and classifying the emitters.
Keywords