摘要
针对分数布朗运动模型在不同尺度上粗糙度相同的缺陷,提出一种将高阶分形特征作为分形维数补充的目标检测算法。该方法将Hurst指数和缝隙特征相结合,分析比较了海杂波和目标的特性。在此基础上,对IPIX雷达实测数据进行实验分析。结果表明,对海杂波背景下的小目标检测,提出的算法比仅基于分形维数的检测算法性能更优。
In view of the defect that Fractional Brownian Motion has the same roughness on different dimensions,a target detection algorithm based on high order fractal feature and fractal dimensions is presented.The target and sea clutter in IPIX radar-measured data are compared based on Hurst exponent and lacunarity.It shows that the detection algorithm presented in the paper has better detection performance than that based on the fractal dimension value only.
出处
《现代电子技术》
2012年第1期1-3,共3页
Modern Electronics Technique
基金
山东省自然科学基金(ZR2010DQ002)
关键词
目标检测
HURST指数
缝隙参数
海杂波
target detection
Hurst exponent
lacunarity parameter
sea clutter
