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《Measurement & Control Technology》 2008-09
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Application Research of LS-SVM for Improving Accuracy of Altitude Measurement System

DI Ya-zhou1,QIN Yong-yuan1,LI Fu-rong2,YU Jian-li2(1.School of Automation,Northwestern Ploytechnical University,Xi'an 710072,China;2.Qingdao Branch,Naval Aeronautical Engineering Academy,Qingdao 266041,China)  
Among methods which compensate the altitude measurement system error using computer software,the classical method is lower in accuracy and greater in nonlinear error,the neural network method has many disadvantages in the aspect of over learning,difficult confirming the network topology structure and poor generalization ability etc.In order to improve the accuracy of altitude measurement system,a method based on least squares support vector machine(LS-SVM) is presented.On the basis of analyzing the algorithmic of LS-SVM for regression,the sample data of a altitude measurement system by LS-SVMlab1.5 are simulated.The result shows that the method based on LS-SVM is high in accuracy,better generalization ability and stability in regression and forecast of data.It can improve the accuracy of altitude measurement system effectively and has a good prospect of application and extension.
【CateGory Index】: TP274
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