多重分形在杂波跟踪中的应用

为了精确跟踪杂波,提高PD雷达的恒虚警检测性能,该文提出一种基于多重分形定义的雷达杂波跟踪技术。通过分析杂波数据中的纹理信息,将多重分形技术应用于杂波跟踪。以单点分形维数和区域分形指数随q值的变化程度为标准,确定多重分形最优高阶矩数,结合PD雷达的杂波特性和多重分形算法,使强度变化较大的杂波数据转化为指数变化较稳定的高阶分形指数图;通过对在其中引入高阶矩后以确定的同一门限进行图像分割处理,结合形态滤波得到主瓣区域的位置信息。通过对大量的实际数据的分析实验,证实了该方法的有效性。

Clutter Tracking Algorithm Based on Multifractal approach

This paper introduces a clutter tracking technique which is to track clutter accurately and uprate the performance of CFAR for PD radar, the algorithm is based on analyzing the texture of clutter. In according to the range which follow the q on fractal dimension of point and fractal exponent of region. We confirm the prepreerence multifractal moment, Combining the clutter feature of PD radar and multifractal approach, We convert the clutter image which have a large range variety on clutter Intensity to the image which have a steady range variety on fractal exponent, using the image segmentation approach by a certain threshold which combine the multifractal high moment and mor-phological filtering approach to get the position of the main beam clutter. The experimental results show that the method is effective.