Fuzzy Adaptive Tracking Algorithm for Maneuvering Target
A fuzzy adaptive tracking algorithm for maneuvering target based on current statistical model is presented. The fuzzy inference technique is used to adjust the system process noise covariance adaptively along with the characteristic of maneuvering, which improves both the estimation accuracy when the target is not in the maneuvering state and the rapid response when the target maneuvers rapidly. The Monte-Carlo simulation results show the method is valid.
OBJECTIVE ::: To establish a new method to discriminate Aaron's beard by Fourier transformation infrared spectrometry. ::: ::: ::: METHODS ::: Attenuation Reflection-Fourier transformation infrared spectrometry with clustering analysis was used to the identification of Aaron's beard. ::: ::: ::: RESULTS ::: There were obvious differences in Aaron's beard. The results are consistent with that of morphologic study. ::: ::: ::: CONCLUSION ::: This method is rapid, simple and economical, and can be used to the quality control.