研究引导源的目标定位问题,为实现水下目标定位提供了一种新的途径.实际海洋环境中存在噪声,对定位精度的影响非常大,为了实现低信噪比条件下对目标的准确定位,提出了一种改进的邻域平均法对条纹图像进行降噪处理.同时,由于声场计算和图像处理需要非常大的计算量,实现会耗费较长的时间,提出了利用CUDA技术对GTL算法进行加速处理.处理结果表明,经降噪方法处理后,目标距离估计结果准确,误差较小；与传统CPU方法相比,CUDA技术能不改变精度,且使算法时间减少,为目标定位提供了依据.%Target localization algorithm using a guide source ( GTL algorithm) is a new method for under - water target localization. The performance has been affected by noise quitely. In order to achieve the accurate distance location in the low signal to noise (SNR), a modified neighborhood averaging method was proposed. Because sound field computation and image processing consume too much time, CUDA technology had been used on GTL algorithm to solve the problem of low efficiency. The experimental results show that target localization has been well achieved after denoising and the CUDA is practical for the application compared with the traditional algorithms based on CPU.
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