一种基于Hough变换的声呐对目标航迹检测算法研究

为提高声呐对目标航迹的检测性能,从单部声呐时间融合的角度出发,提出了一种基于Hough变换的声呐信号检测算法。该算法把航迹上的观测点变换为参数空间的对应曲线,充分利用一段时间内的目标观测数据,在低信噪比下也能从背景噪声中提取目标的航迹特征,提高了声呐的检测概率,且对部分信息和数据的缺失不敏感。仿真试验证明了该算法的有效性。

A Kind of Sonar Detection on Target Trajectory Based on Hough Transform

To improve the detection characters of sonar to target trajectory, a kind of sonar detect algorithm that based on time fusion of single sonar is proposed, in which the Hough transform is adopted. This algorithm changes the detect points on the target trajectory to the respective curve in parameter space, which takes full advantages of the target detect data in a certain period, and the trajectory characteristics can also be picked up even under low SNR. The advantages of this technique lie in that it improves the detection probability and it is insensitive to incomplete data. Simulations show its effectiveness.