Hough Transform Clutter Reduction Algorithm for Piecewise Linear Path Active Sonar Target Detection and Tracking Improvement

Seong-Weon† Kim

doi:10.7776/ASK.2013.32.4.354

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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

31 July 2013. pp. 354-360

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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.

Keywords

Heavy clutter density environment

Clutter reduction

Hough transform

Tracking filter

Converted measurement Kalman filter with linearization

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.

키워드

고밀도 클러터 환경

클러터 제거

허프변환

추적필터

CMKF-L

References

1.Y. Bar-Shalom and T. E. Fortmann, Tracking and Data Association (Academic Press, Inc., Boston, 1988).

2.S. S. Blackman, Multiple-Target Tracking with Radar Applications (Artech House, Dedham, 1986).

3.R. Laterveer, “Single ping clutter reduction: segmentation using Markov random fields,” SACLANTCEN, Tech. Rep., 1999.

4.B. D. Carlson, E. D. Evans, and S. L. Wilson, “Search radar detection and track with the Hough transform, Part I: System concept,” IEEE Trans. Aero. Elec. Sys. 30, 102-108 (1994).

5.S. L. Wilson, B. D. Carlson, and E. D. Evans, “Search radar detection and track with the Hough transform, Part II: Detection statistics,” IEEE Trans. Aero. Elec. Sys. 30, 109-115 (1994).

6.Y. Bar-Shalom and X. R. Li, Multitarget-Multisensor Tracking : Principles and Techniques (YBS Publishing, Storrs, 1995).

7.B. Ristic, S. Arulampalam, and N. Gordon, Beyond the Kalman Filter : Particle Filters for Tracking Applications (Artech House, Boston, 2004).

Information

Publisher :The Acoustical Society of Korea
Publisher(Ko) :한국음향학회
Journal Title :The Journal of the Acoustical Society of Korea
Journal Title(Ko) :한국음향학회지
Volume : 32
No :4
Pages :354-360
Received Date : 2013-05-24
Revised Date : 2013-06-24
Accepted Date : 2013-06-26
DOI :https://doi.org/10.7776/ASK.2013.32.4.354

The Journal of the Acoustical Society of KoreaISSN:1225-4428(Print) 2287-3775(Online)한국음향학회

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