基于分形维与缝隙参数的海杂波目标检测  

Detection in sea clutter based on fractal dimensions and lacunarity

作　　者：何鑫萍[1] 姬光荣[1] 

机构地区：[1]中国海洋大学信息科学与工程学院,山东青岛266100

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)

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.

关 键 词：目标检测 HURST指数 缝隙参数 海杂波 

分 类 号：TN911.73[电子电信—通信与信息系统]