The Journal of the Acoustical Society of Korea (한국음향학회지)

The Acoustical Society of Korea (한국음향학회)
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Hough Transform Clutter Reduction Algorithm for Piecewise Linear Path Active Sonar Target Detection and Tracking Improvement

구간선형기동 능동소나표적 탐지 추적 성능향상을 위한 허프변환 클러터제거 알고리즘

  • 김성원 (국방과학연구소 소나체계개발단)
  • Received : 2013.05.24
  • Accepted : 2013.06.26
  • Published : 2013.07.31
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Abstract

In this paper, it is discussed that the detection and tracking performance of the piecewise linear path underwater target is improved using clutter reduction algorithm in heavy clutter density environment. Through clutter reduction algorithm using Hough Transform, measurements which represent clutter features are removed and the performance of target tracking on the remaining measurements is demonstrated applying CMKF-L(Converted Measurement Kalman Filter with Linearization) as tracking filter. Algorithm performance test is conducted using simulation data and real sea-trial data and by applying the proposed algorithm in heavy clutter density environment, it is confirmed that the target is tracked consistently and stably with clutter rejected measurements.

본 논문은 고밀도 클러터 환경에서 클러터 제거기능을 이용하여 구간선형기동 수중운동체의 탐지 및 추적에 대한 성능향상을 다루었다. 고밀도 클러터 환경에서 허프변환(Hough transform)을 이용한 클러터 제거 알고리즘을 통해 클러터 특성을 나타내는 측정치를 제거한 후 남은 측정치에 대해 추적 필터인 CMKF-L을 적용하여 추적성능을 확인하였다. 모의 신호와 해상실험데이터를 이용하여 실험을 수행하였으며 고밀도 클러터 환경에서 제안하는 알고리즘을 적용하여 클러터는 상당수 제거되고 표적에 대한 추적은 지속적으로 안정되게 수행됨을 확인하였다.

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References

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Cited by

  1. A clutter reduction algorithm based on clustering for active sonar systems vol.35, pp.2, 2016, https://doi.org/10.7776/ASK.2016.35.2.149