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	Textural and Directional Information Based Offset In-Loop Filtering in AVS3 期刊论文 OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 5957-5971 作者: Zhang, Jiaqi; Jian, Yunrui; Wang, Suhong; Jia, Chuanmin; Wang, Shanshe \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2024/05/20 AVS3 in-loop filter TDIO textural and directional offset
	Analyse the angular velocity estimation errors of -- filter based on high sampling rate (EI CONFERENCE) 会议论文 OAI收割 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China 作者: Zhang Y. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 In order to get angular velocity of stabilization servo mechanism from angular position sensors -- filter based on high sampling rate was established model and error characteristics were analyzed. With the hypothesis of constant acceleration -- filter and its angular velocity transfer function were deduced. Combing with optimum parameters the effects of and sample rate on the error characteristics were evaluated. According to the requirements of stabilization servo mechanism the frequency characteristics of angular velocity transfer function are analyzed and the filter parameters are designed. The experimental which filter tracked and smoothed sinusoidal signal the results show that when the cutoff frequency of angular velocity loop is 44.9rad/s sampling period and parameters are 0.08ms and 0.01279 respectively the phase leading of angular position is 70. -- filter tracked sinusoidal signals with maximum angular velocity(30/s) and maximum angular acceleration(30/s2) the error of angular velocity estimation was 0.053/s. In the engineering of electro-optical stabilization servo mechanism -- filter can reduce noise effectively and reached the requirement of platform angular velocity estimation. Also it is one of the effective methods to get angular velocity from angular position sensors. 2011 IEEE.
	The research on servo control technology of O-E theodolite based on angular acceleration sensor (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 Wei L.; Jin G.; Juan C. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 A new servo control methods for O-E theodolite is presented in this paper. The methods integrates optimally feed forward and feedback control and adopts acceleration delay compensation based on velocity delay compensation then achieves servo control of O-E theodolite effectively. Furthermore Angular acceleration sensor is applied as information resources and adaptive filter is formed to provide with feed forward control signal in the methods. For double closed loop servo control system of O-E theodolite the location correction loop and velocity correction loop are analyzed and designed. Simulation and experimental results show that comparing with traditional methods this servo control methods can improve significantly tracking precision and stability of O-E theodolite. 2010 IEEE.
	Kalman filter for pointing deviation delay compensation in a TV tracker (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 Juan C.; Wang Q.-P.; Jian C. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 Considering the pointing deviation delay in the TV tracker which heavily worsens the tracking precision here we offer an improved Kalman filter algorithm to compensate the delay. The output speed from the filter is fed forward to the speed loop for the compound control to increase the speed constant. The simulation results based on the experiment data show that the method can effectively estimate the position consequently the speed and accelerate and the tracking precision is improved. The estimation precision of the speed and accelerate depend on that if the state model is coherent with the movement of the real target. 2010 IEEE.
	Design of GPS/INS integrated navigation system based on multisensor information fusion (EI CONFERENCE) 会议论文 OAI收割 6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China Chunmei H.; Yantao T.; Wanxin S.; Mao L. 收藏 \| 浏览/下载：38/0 \| 提交时间：2013/03/25 Two kinds of design methods of GPS/INS integrated navigation system are presented that is GPS/INS integrative system and integrated navigation system based on information fusion. By analyzing mathematics model of the first system error we found that inertia velocity error would cause code loop track error. Consequently the pseudo range meterage error is interrelated with inertia velocity error which is complex to calculate. If this relativity is ignored in the state equation and observation equation of this system it must affect the estimated precision of the kalman filter and maybe the system is unstable. Therefore the second integrated navigation method is introduced. It adopts information fusion federal kalman filter and covariance. And consider the above pertinence to analyze the navigation performance of the integration system. Then it gives the flow of federal kalman filter algorithm. By analyzing the conclusion is that velocity error of integrated navigation system drops from 0.5m/s to below 0.05m/s and improves the precision and reliability of the navigation system effectively well continuity and real-time capability. It provides an effective way for data analysis and process of fusion navigation system. 2006 IEEE.