Artificial Immune System and its Applications in GPS Single Frequency Precise Point Positioning

作     者：Chengquan Xu Suxia Xu Wei Chen Department of Geography Minjiang University China Dept. of Cognitive Science Xiamen University Xiamen 361005 China School of Geodesy & Geomatics Wuhan University 430079 China 

会议名称：《2008 3rd International Conference on Intelligent System and Knowledge Engineering(ISKE 2008)》

会议日期：2008年

学科分类：08[工学] 080401[工学-精密仪器及机械] 081105[工学-导航、制导与控制] 0804[工学-仪器科学与技术] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

摘      要：The natural immune system is a robust and powerful information process system that demonstrates features such as distributed control, parallel processing and adaptation. Artificial Immune Systems （AIS） are machine-learning algorithms that embody some of the principles and attempt to take advantages of the benefits of natural immune systems for use in tackling complex problem domains. Using the artificial immune algorithm in GPS data Processing can solve the GPS nonlinear models directly and avoid the ill- conditions. The principle and algorithm steps of the AIS are introduced and it’s application in GPS single frequency precise point positioning （PPP） is discussed detailed. Numerical result shows that the single frequency PPP model solved by AIS can reach an accuracy of sub-meter level.