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Proposed a MEMS-IMU aided GNSS PLL within an ultra-tightly integration architecture based on a adaptive algorithm. The adaptive algorithm adjust gain base on the data provided by IMU data to improve the PLL performance in dynamic environment. The performances of the algorithm were simulated test and compared to the conventional tracking loops. The results(More)
Proposed a MEMS-IMU aided GNSS tracking loops within an ultra-tightly integration architecture based on a Fuzzy model. The IMU data provide LOS Doppler information to the GNSS tracking loops based Fuzzy logic controller. The performances of the model were simulated test and compared to the conventional tracking loops. The results show the proposed model(More)
Proposed a T-S Fuzzy to improve the performance of a integrated GNSS and MEMS-IMU which be used in a land vehicle. The T-S Fuzzy model is used to predict the position and velocity errors, inputs these errors to Kalman filter during GNSS signal outages. The performances of the model were simulated test and compared to the common Kalman filter. The results(More)
Proposed a method of fault diagnosis for cold storage system, the method based on probabilistic rough set and support vector machine(SVM). Simplify the uncertain information by using probabilistic rough set of Bayes decision making. Design a multi-level classifier of SVM to fault diagnosis. Research the typical fault set of cold storage system with the(More)
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