声呐图像目标跟踪技术在水下UUV作战系统中具有重要意义，由于水声环境复杂，噪声干扰严重，导致声呐目标跟踪效果欠佳。本文针对UUV声呐成像特点，首先给出一种改进的Curvelet变换图像增强方法，可以有效降低声呐图像噪声并在一定程度上增强目标图像的边缘。并此基础上，提出一种基于粒子滤波的声呐目标跟踪算法以获得更为准确的目标跟踪效果。仿真结果表明，相较于传统声呐目标跟踪，该方法具有更好的目标跟踪精度以及鲁棒性。
Sonar image target tracking technology is of great significance in underwater UUV combat systems. Due to the complex underwater environment and severe noise interference, the sonar target tracking effect is subpar. In this paper, an improved Curvelet transform image enhancement method is proposed based on the characteristics of UUV sonar imaging. Based on this, a sonar target tracking algorithm based on particle filter is proposed. it is shown that the proposed method has better target tracking accuracy and robustness than traditional sonar target tracking in the simulation results.
2019,41(2): 135-139 收稿日期：2018-10-30
DOI：10.3404/j.issn.1672-7649.2019.02.027
分类号：TP391
作者简介：黄松威(1991-),男,硕士研究生,研究方向为水声信号处理
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