摘要
为解决舰载、岸基海防预警雷达在检测掠海飞行的反舰导弹时,受到海杂波严重干扰的问题,基于工程实际应用的需要,本文首先采用易于实现的盒维数提取方法,进而提出了一种基于改进核函数的支持向量机(Support Vector Machine,SVM)分类器目标检测方法。最后,基于S波段雷达实测海杂波数据进行了仿真实验,实验结果验证了本文方法具有较强的检测能力和抗杂波性能。
To solve this question that the ship-borne radar and shore-based early winning radar are interfered seriously by the sea clutter when they track the anti-ship missile of flight over the ocean, firstly this paper adopts the feasible method of extracting box dimension based on meeting the need of fact engineering. Furthermore the method of target detection with SVM classifier is presented of the ameliorated RBF kernel function. Finally, based on the observed sea clutter of S-band radar,the computer simulation is processed and the results prove the effective detection performance and noise tolerance.
出处
《信号处理》
CSCD
北大核心
2007年第4期598-602,共5页
Journal of Signal Processing
基金
国防预研项目资助(No.41303040203)
国家自然科学基金资助(No.60402032)