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A Kernel Density Signal Grouping Based on Radar Frequency Distribution  

Lee, Dong-Weon (Agency for Defense Development)
Han, Jin-Woo (Agency for Defense Development)
Lee, Won-Don (Department of Computer Science & Engineering, Chungnam National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.6, 2011 , pp. 124-132 More about this Journal
Abstract
In a modern electronic warfare, radar signal environments become more denser and complex. Therefor the capability of reliable signal analysis techniques is required for ES(Electronic warfare Support) system to identify and analysis individual emitter signals from received signals. In this paper, we propose the new signal grouping algorithm to ensure the reliable signal analysis and to reduce the cost of the signal processing steps in the ES. The proposed grouping algorithm uses KDE(Kernel Density Estimator) and its CDF(Cumulative Distribution Function) to compose windows considering the statistical distribution characteristics based on the radar frequency modulation type. Simulation results show the good performance of the proposed technique in the signal grouping.
Keywords
Kernel Density Estimator; Electronic warfare Support; Radar Signals; Grouping;
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