吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (03): 841-848.doi: 10.7964/jdxbgxb201303047

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Selection of adaptive threshold for phased array 3D sonar

YUAN Long-tao, TIAN Xiang, CHEN Yao-wu   

  1. School of Biomedical Engineering & Instrumentation Science, Zhejiang University, Zhejiang 310027, China
  • Received:2012-02-03 Online:2013-05-01 Published:2013-05-01

Abstract: An adaptive threshold method was proposed for phased array 3D sonar systems. First, the beams of were classified into several edge modes and the beam-strength based confidence image was modified by checking the neighborhood symmetry of each beam. Next, the principle of maximum entropy was introduced to search the optimal adaptive threshold for the new confidence image. Experimental results show that the proposed method can distinguish the objects and backgrounds effectively while requiring similar computation as conventional spatial filter methods. This threshold method is suitable for real-time applications in phased array 3D sonar systems.

Key words: acoustic, phased array three-dimensional sonar, adaptive threshold, maximum entropy, symmetry of beam pattern

CLC Number: 

  • TB565
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