基于Hilbert谱脊线盒维数的微弱目标检测算法

 在目标检测领域,分形理论中的盒维数常被用来检测海杂波中的微弱目标,但直接采用盒维数检测目标却得不到的较好检测性能.为提高采用盒维数检测目标方法的检测性能,文章在Hilbert-Huang变换域分析了实测海杂波数据的Hilbert谱脊线盒维数特性以及目标的影响,提出了采用Hilbert谱脊线盒维数检测目标的方法.仿真结果表明,目标出现时海杂波的Hilbert谱脊线盒维数明显减小,采用Hilbert谱脊线盒维数检测海杂波中的微弱目标能够获得较好的检测性能,其性能要优于直接采用盒维数的目标检测方法和多脉冲单元平均恒虚警检测方法的检测性能.

Weak Target Detection Based on the Box Dimension of the Hilbert Spectrum Ridge

In the target detection domain,the box dimension of the fractal theoretics is usually used to detect the weak target in the sea clutter,but its detection performance is not good.In order to improve the detection performance of the method using box dimension,the Hilbert spectrum ridge box dimension characteristic of the real sea clutter and the influence of the target to the dimension is analyzed in the Hilbert-Huang transformation domain,and the Hilbert spectrum ridge box dimension is proposed to detect the weak target in the sea clutter on the base of the analysis.Shown as the results of the simulation,the Hilbert spectrum ridge box dimension of the sea clutter is much smaller when the target appears,and the performance to detect the weak target in the sea clutter is improved distinctly by the method based on the box dimension of the Hilbert spectrum ridge,compared with the detection performance of the target detection method using the box dimension directly and the multi pulses cell average constant false alarm rate detection method.