火力与指挥控制Issue(2)：63-65,69,4.
基于改进LS-SVM的雷达故障诊断技术
Improved LS-SVM Based Radar Fault Diagnosis Technology
摘要
Abstract
In order to solve the complexity of traditional radar fault diagnosis process,longer diagnosis and potential room for accuracy,a new radar fault diagnosis model has been devised in this paper which introduced Least Squares Support Vector Machine (LS-SVM)into radar fault diagnosis. This method has solved the classification and function estimate problem well,speeded up the diagnosis, improved robustness and rarefaction in LS-SVM and increased the accuracy of the fault diagnosis. Contrast the effects of improved LS-SVM and traditional neural network used in radar fault diagnosis through the actual example simulation in a certain type,and simulation examples show that this method,compared with traditional neural network,has more efficiency and accuracy in radar fault diagnosis.关键词
雷达系统/准确率/最小二乘支持向量机/故障诊断Key words
radar system/accuracy/LS-SVM/fault diagnosis分类
航空航天引用本文复制引用
王旭婧,陈长兴,赵学军,任晓岳..基于改进LS-SVM的雷达故障诊断技术[J].火力与指挥控制,2015,(2):63-65,69,4.基金项目
陕西省电子信息系统综合集成重点实验室基金（201107Y16）；陕西省自然科学基金资助项目 （）
