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http://dx.doi.org/10.7776/ASK.2013.32.4.354

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

Kim, Seong-Weon (국방과학연구소 소나체계개발단)
Publication Information
The Journal of the Acoustical Society of Korea / v.32, no.4, 2013 , pp. 354-360 More about this Journal
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(CMKF-L);
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