摘要
海杂波常常严重地限制了雷达目标检测能力。通常是采用统计方法研究海杂波的特性,随着新理论、新技术的出现,不断尝试更好的方法研究海杂波。基于分形理论,利用实测的小擦地角海面雷达回波数据,比较了海杂波和分数布朗运动(FBM)的性质,得出海杂波与分数布朗运动有相似的增量统计特性。在此基础上,利用基于FBM模型的分维数提取方法对两组海杂波含目标信号进行处理,与利用脉冲回波相干处理以及变换法的分形处理方法相比,具有较好的效果。
The detection capability of radar is often severely limited by sea clutter. Usually the characteristics of sea clutter are studied with statistic theory. With the advent of new theories and techniques, better methods are proposed to study sea clutter. The characteristics of recorded sea surface backscattered signal at low grazing angle are compared with those of Fractional Brownian Motion（ FBM） in this paper. And the result shows that their increments have similar statistical characteristic. On the basis of this, we process the signal using FBM model based on dimension estimation. In comparison with coherent processing and dimension estimation using variation algorithm, the method based on FBM model has a better effect.
出处
《现代雷达》
CSCD
北大核心
2005年第11期58-62,共5页
Modern Radar
关键词
海杂波
分数布朗运动
分形
sea clutter
fractional Brownian motion
fractal.
