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	The application of Kalman filtering technique on the multi-position strap-down north seeking system (EI CONFERENCE) 会议论文 OAI收割 2012 5th International Symposium on Computational Intelligence and Design, ISCID 2012, October 28, 2012 - October 29, 2012, Hangzhou, China 作者: 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 In order to fit the sin wave curve of a multiposition strap-down north seeking system and to calculate the real north angle accurately the data collected from the Dynamically tuned gyro(DTG) must be filtered firstly to reduce the noise jamming. The principles of the system are introduced. The factors influencing the measuring precision are also analyzed. Then The DTG data are processed by second-order Butterworth filtering and Kalman filtering together. Experimental results indicate that the built-up filtering method can reduce noise jamming more effectively than second-order Butterworth filtering in the low frequency. 2012 IEEE.
	Analysis on the influence of random vibration on MEMS gyro precision and error compensation (EI CONFERENCE) 会议论文 OAI收割 2011 3rd International Conference on Mechanical and Electronics Engineering, ICMEE 2011, September 23, 2011 - September 25, 2011, Hefei, China 作者: Li M. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 In order to improve its precision in dynamic environment a Kalman filter was designed. Firstly two sets of random drift data of MEMS gyro were respectively analysed and it was found that the variance of random drift under random vibration significantly increased and its mean also changed. Then calculation results show that attitude angle error under random vibration is 2.6 while in the static test it is 0.25. Analysis on the characteristics of random drift was carried out and it is found that it can be treated as stable normally distributed random signal. Finally a corresponding Kalman filter was designed. The results indicated that after filtering the variance of random drift is reduced to 0.0282 26.4% of pre-filtering and the attitude angle error is reduced to 1.5 57.7% of pre-filtering. The above method can effectively compensate for the attitude angle error of MEMS gyro caused by random vibration. This study can be a reference to the application of low-cost MEMS gyro in aircraft navigation. (2012) Trans Tech Publications Switzerland.
	Random noise filtering technology of piezoelectricity gyro (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Qingjun L.; Yongming Y. 收藏 \| 浏览/下载：40/0 \| 提交时间：2013/03/25 Inertia sensing elements are usually adopted as the sensors of velocity stabilization loop in airborne photoelectric equipments therefore we need to adopt filtering processing to reduce influence to control system. In this paper which are constituted stabilized control system we analyze the characteristic of noise gyro drift that purpose is reducing the influence of the movement of carrier to visual axis of photoelectric probing system. But gyro and utilize Kalman filtering technology to conduct filtering processing to output signal of gyro especially the piezoelectricity gyro generates drift this method can reduce output noise effectively. The simulation results show that the proposed filtering processing method can improve the low velocity characteristic. 2010 IEEE. which is the main error source of photoelectric stabilized control system
	Kinematics-based velocity estimation of lunar rovers 会议论文 OAI收割 IEEE International Conference on Robotics and Biomimetics (ROBIO 2007), Sanya, China, December 15-18, 2007 作者: Song XK(宋小康); Wang YC(王越超); Wu ZW(吴镇炜); Bu CG(卜春光); Chang Y(常勇) 收藏 \| 浏览/下载：26/0 \| 提交时间：2012/06/06 lunar rover mechanics modeling wheel-terrain interaction gyro filtering velocity calculation