대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2002년도 하계종합학술대회 논문집(1)
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- Pages.195-198
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- 2002
Gaussian Mixture Model을 이용한 넓은 관측각에서의 효율적인 레이더 표적인식
Radar target recognition using Gaussian mixture model over wide-angular region
초록
One-dimensional radar signature, such as range profile, is highly dependent on the aspect angle. Therefore, radar target recognition over wide angular region is a very difficult task. In this paper, we propose the Bayes classifier with Gaussian mixture model for radar target recognition over wide-angular region and compare performances of proposed technique and radar target recognition with subclasses concept in the literature of probability of correct classification ratio.
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