基于运动轨迹的动目标识别

Underwater target recognition based on trajectory

对抗静止的声诱饵干扰器材的方法有数种,本文主要研究的是一种基于鱼雷和目标运动轨迹的动目标识别方法。文章中首先论述了基于小波神经网络的目标、鱼雷运动轨迹的平滑处理方法,并给出了利用小波神经网络平滑方法对实航轨迹的平滑结果,通过平滑后可清晰地给出目标的航行轨迹,处理结果显示该方法可以保证准确的识别运动目标。

There are many methods to acoustic counter a static sound of jammer or decoy. This paper put emphasis on recognition method of motion target based on torpedo and target motion trajectory. Subsequently the article study a new smoothing algorithm of torpedo trajectory based on wavelet neural network. Then this paper presents smoothing results. They can help us to clearly identify target real trajectory. Numerical test results show that the algorithm is capable of determining the moving target from the static sound of jammers.