Spatiotemporal radar target identification using radar cross-section modeling and hidden Markov models

We propose a target identification scheme exploiting the temporal dependency and spatial structure of radar cross-section (RCS) measurements in low-frequency, passive, or long-range surveillance radar systems. We employ target RCS modeling integrated into a hidden Markov model (HMM) with state-durat...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 2016-06, Vol.52 (3), p.1284-1295
Hauptverfasser:	Cho, Hoonkyung, Chun, Joohwan, Lee, Taeseung, Lee, Seungjae, Chae, Daeyoung
Format:	Artikel
Sprache:	eng
Schlagworte:	Atmospheric modeling Computer simulation Cross sections Hidden Markov models Markov models Mathematical models Modelling Radar Radar cross-sections Sampling Solid modeling Spatiotemporal phenomena Target recognition
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