Aiming at the shortage in ??2 detection methods, a fault detection method based on least squares support vector
machine(LS-SVM) is proposed for federated Kalman filter in integrated navigation system, which constructs the fault
detection variable based on the forecasted residual by using LS-SVM. Based on the strapdown inertial navigation system/
global navigation satellite system /celestial navigation system integrated navigation system platform, the simulation faults of
mutation and transition in the subsystem are detected by using the LS-SVM method and residual ??2 detection method, which
is analyzed by using the no-reset federated Kalman filter model. The result of experiment shows that the fault detection
ability of the LS-SVM method is better than that of the residual ??2 detection method, which shows the effectiveness of the
proposed LS-SVM method.