实测海杂波光电图像混沌特性研究  

Chaotic feature research of real sea clutter photoelectric image

作　　者：李正周[1] 丁浩[1] 刘梅[1] 田蕾[1] 金钢[2,3] 

机构地区：[1]重庆大学通信工程学院,重庆400044 [2]中国空气动力研究与发展中心,四川绵阳621000 [3]中国科学院光电技术研究所,四川成都610209

出　　处：《传感器与微系统》2013年第4期27-29,33,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61071191);重庆市自然科学基金资助项目(CSTC2011BB2048)

摘　　要：基于随机信号模型的光电图像海杂波抑制是目前海杂波背景下目标检测常用方法,检测性能不甚稳定。在分析混沌动力系统相空间重构的基础上,通过提取实际海杂波光电图像序列的关联维数和最大Lyapunov指数,检验海杂波是否具有混沌性。实验结果表明:海杂波光电图像序列具有有限的关联维数和正的最大Lyapunov指数,验证了海杂波光电图像序列的混沌特性。海杂波具有的混沌特性使得可采用短时间预测法抑制海杂波,为海杂波光电弱目标检测提供新的解决思路。The methods based on random signal model are usually used to suppress sea clutter and detect target by photoelectric imaging system,but their performance of target detection is generally unstable.The correlative dimension and the largest Lyapunov exponent are extracted from the real sea clutter photoelectric image sequence on the basis of analysis on phase space reconstruction of chaotic dynamical system,and these two parameters are used to test whether the sea clutter has chaotic characteristic or not.The experimental result shows that sea clutter in photoelectric image sequence has a finite correlative dimension and a positive largest Lyapunov exponent,and these two parameters verify that the sea clutter photoelectric image sequence has chaotic characteristic,which indicates that the sea clutter can be suppressed by the short-term prediction and a novel strategy is provided for dim target detection in sea clutter by photoelectric imaging system.

关 键 词：海杂波 光电图像序列 混沌特性 关联维 LYAPUNOV指数 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]