This paper addresses the maneuvering target tracking with a single ESM sensor where only the bearing and elevation measurements are available and used for the target trajectory estimation. In single ESM tracking system the maneuvers of observer platform are required for the observability. The maneuver detection procedure for ESM tracking system is based on NIS. In view of the nonlinearity of the measurement equation, the two-stage extended Kalman filter (EKF) is used for target trajectory estimation. A simulation scenario illustrated the effectiveness of our algorithm.

In multisensor fault diagnosis system, a relationship between the parameter space of feature and the type space for engine fault needs to be established. Also the problem that the diagnostic results from different sensors for the same engine may conflict needs to be addressed. The method of fault diagnosis based on D-S evidence theory using multisensor data fusion can solve the problems above to a large extent. The paper first discussed D-S theory in conjunction with fault diagnosis system; then an instance of fusion diagnosis using two sensors was given; finally we compared the simulation results in single sensor with fusion diagnosis. Analysis shows that the method based on D-S theory can solve the problem of evidence conflict in multisensor fault diagnosis effectively, as well as improve the accuracy of fault diagnosis decision to some extent.

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