扫描模式下海杂波的多分形布朗运动模型

为了提高航海雷达目标检测性能，该文主要研究多分形布朗运动在扫描模式下雷达海杂波分形建模中的应用。该文验证实测海杂波数据具有非对称和尖峰厚尾的非高斯统计分布，并且具有分形特性；同时也证实实测数据在一定的情况下满足多分形布朗运动的假设条件。在此基础上，利用多分形布朗运动对实测数据进行建模，计算得到随时间变化的Hlder函数，结果显示不同距离区域的Hlder指数是不同的，目标处的Hlder指数大于海杂波处的H?lder指数。该文研究结果对后续目标检测方法的提出具有很大的帮助作用。

Modeling Sea Clutter in Radar Scanning Mode by Multifractional Brownian Motion

To improve the detection performance of marine radar, the application of multifractional Brownian motion to modeling the radar sea clutter in the scanning mode is studied. It is verified that real sea clutter data submit to a non-Gaussian distribution with asymmetry, high peak and heavy tail, and have fractal characteristics. In some cases the assumption of multifractional Brownian motion for the real data is satisfied. On the basis of this analysis, the real data are modeled by using the multifractional Brownian motion, and the time-dependent Hlder function of the real data is calculated. The results show that the Hlder exponents of different regions are not the same, and the Hlder exponent of target is significantly larger than that of the sea clutter. The research results are helpful to design a reliable detection method.