Target Identification Algorithm Using Fractal Dimension on Millimeter-Wave Seeker

프랙탈 차원을 이용한 밀리미터파 탐색기 표적인식 알고리즘 연구

  • Received : 2018.07.11
  • Accepted : 2018.08.29
  • Published : 2018.09.30


Many studies have been conducted on the accurate detection and identification of targets from ground clutter, in order to improve the accuracy rate of land guided weapons. Due to the variety and complicated characteristics of the ground clutter signal compared to the target, an active target identification technique is needed. In this paper, we propose a new algorithm to identify targets and divide them into different types by extracting the unique characteristics of the target through fractal dimension calculation with the characteristics of self-similarity. In the simulation using the algorithm, the probabilities of identifying the tank and truck were 100 % and 98.89 %, respectively, and the type of the target could be identified with a probability of 98 % or more.


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