Abstract
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 illconditions. 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.
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