Radar target recognition using Gaussian mixture model over wide-angular region

Gaussian Mixture Model을 이용한 넓은 관측각에서의 효율적인 레이더 표적인식

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.