Entity

Time filter

Source Type

Nanyang, China

Wu Z.,PLA Second Artillery Engineering University | Wu Z.,The 96265th Unit of PLA | Yao M.,PLA Second Artillery Engineering University | Ma H.,PLA Second Artillery Engineering University | And 2 more authors.
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | Year: 2012

A new attitude estimation system is proposed to estimate the antenna attitude for low-cost mobile satellite communication. The system uses the adaptive filtering based multi-sensor fusion method to integrate the inertial measurement unit and GPS for attitude estimation. The complementary property between the angles derived by the integration of micro-electromechanical system (MEMS) gyros and the gravity field vector measurement from MEMS accelerometers is utilized to estimate the level angles. Meanwhile, the high accuracy of the single baseline GPS is fused with gyros integration to ensure the heading accuracy. A real-time adaptive method is proposed to overcome the maneuver acceleration disturbance, and shows better performance than the standard unscented Kalman filter. The adaptive method is controlled by the acceleration observation when the GPS is unlocked. Experimental results show that the errors of three angles estimated by the proposed system are all smaller than 0.5°and meet the beam pointing accuracy requirement for broadband mobile satellite communication in the condition that the GPS is locked or unlocked in a certain short while. Source


Zhang X.-H.,National University of Defense Technology | Zhang X.-H.,The 96265th Unit of PLA | Zhou H.-W.,BITTT | Li Q.,National University of Defense Technology
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2010

Navigation System Precision Analysis is a part of the simulation analysis and evaluation of the Navigation System's performance on positioning, velocity-measuring and time-telling, and the availability and continuity of NSP is an important symbol of service capability of the navigation system. The NSP concept was introduced firstly, and then algorithms of the availability and continuity of NSP were researched, based on these, model architecture of the NSP was proposed and the NSP simulation analysis system was designed and implemented, finally, the simulated experiment of the grid with 10 resolution was implemented and the system architecture and the plug-in facility were testified. Source


Wu Z.-W.,PLA Second Artillery Engineering University | Wu Z.-W.,The 96265th Unit of PLA | Yao M.-L.,PLA Second Artillery Engineering University | Ma H.-G.,PLA Second Artillery Engineering University | And 2 more authors.
Tien Tzu Hsueh Pao/Acta Electronica Sinica | Year: 2012

For nonlinear estimation with additive noise, we utilized the sparse-grid theory to propose a novel nonlinear filter, Sparse-grid Square-Root Quadrature Filter (SSRQF). The quadrature points for the conventional QF increases exponentially with the dimension. However, the new filter SSRQF uses the sparse-grid theory to reduce the number of quadrature points to a polynomial with the dimension, which alleviates the computation burden greatly. Through the theoretical analysis, we proposed that Unscented Kalman Filter (UKF) is only a special case for Sparse-grid Quadrature Filter (SQF), thus SSRQF is more flexible in terms of choosing points and controlling accuracy. The simulation results show that the SSRQF achieves higher accuracy than the UKF and the Extended Kalman Filter (EKF). Thus, it is a high accuracy nonlinear filter algorithm with computationally efficient. Source

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