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中文核心期刊

采用粒子群优化的多基线圆周合成孔径声呐三维成像方法

Three-dimensional imaging method for multi-baseline circular synthetic aperture sonar based on particle swarm optimization

  • 摘要: 多基线圆周合成孔径声呐三维成像中聚焦高度误差会导致三维成像结果质量较差, 为此提出了一种采用粒子群优化的多基线圆周合成孔径声呐三维成像方法。该算法利用粒子群优化方法估计聚焦高度误差并进行散射相位补偿, 利用超波束形成方法提高高度向成像分辨率, 联合快速因子反投影方法加快三维成像速度。仿真分析及湖试数据处理结果验证了算法的有效性。试验结果表明, 该方法能够实现多基线圆周合成孔径声呐回波信号的高分辨率三维成像。

     

    Abstract: Aiming at the problem of poor imaging quality due to focusing height error in three-dimensional imaging of multi-baseline circular synthetic aperture sonar, a three-dimensional imaging method for multi-baseline circular synthetic aperture sonar based on particle swarm optimization is proposed. The algorithm uses particle swarm optimization to estimate the focusing height error and compensate for the phase error caused by it, uses the hyper-beamforming method to improve the imaging resolution in the height direction, and combines the fast factorized back-projection method to accelerate the three-dimensional imaging speed. The effectiveness of the algorithm is illustrated by simulation analysis and lake trial data processing. The experimental results show that the method can achieve high-resolution three-dimensional imaging for the echo signals of multi-baseline circular synthetic aperture sonar.

     

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