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Chinese Academy of Sciences Institutional Repositories Grid
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Spectrum Sharing Among Rapidly Deployable Small Cells: A Hybrid Multi-Agent Approach 期刊论文  OAI收割
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 卷号: 19, 期号: 1, 页码: 395-409
作者:  
Gao, Bo;  Lu, Lingyun;  Xiong, Ke;  Park, Jung-Min;  Yang, Yaling
  |  收藏  |  浏览/下载:41/0  |  提交时间:2020/12/10
Tracking blurred object with data-driven tracker 会议论文  OAI收割
China, 2012
作者:  
Jianwei Ding;  Kaiqi Huang;  Tieniu Tan
  |  收藏  |  浏览/下载:12/0  |  提交时间:2016/12/30
Semi-physical simulation of an optoelectronic tracking servo system based on C MEX S functions (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.; Junhong Z.
收藏  |  浏览/下载:26/0  |  提交时间:2013/03/25
To the design of an optoelectronic tracking servo system  we test the method [1  not only the reasonability of the control algorithm should be considered  2]. The simulation results verify the theoretical analysis. Because C MEX S function has the features of fast execute speed  but the cost and time as well. It is necessary to establish the simulation model for the system. Applying the C MEX S functions  independently generated program  we can build the every independent digital control modules in MATLAB/SIMULINK for the optoelectronic tracking servo system. In the paper  directly download to the hardwires  we apply the C MEX S function to the design of the practical optoelectronic tracking servo system. For the speed  we can design and debug the digital control modules in MATLAB/SIMULINK and then transform and download directly to DSP processor. 2010 IEEE.  position loop control and TV delay compensations  
mobile scheduling for spatiotemporal detection in wireless sensor networks 期刊论文  OAI收割
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2010, 卷号: 21, 期号: 12, 页码: 1851-1866
Xing Guoliang; Wang Jianping; Yuan Zhaohui; Tan Rui; Sun Limin; Huang Qingfeng; Jia Xiaohua; So Hing Cheung
  |  收藏  |  浏览/下载:21/0  |  提交时间:2011/05/23
A high-accuracy parameter estimation algorithm for jointless Frequency-shift track circuit (EI CONFERENCE) 会议论文  OAI收割
ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, August 3, 2008 - August 4, 2008, Guangzhou, China
作者:  
Zheng X.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
FSK (Frequency Shift keying) signal  which has advantages of narrow-bandwidth  strong anti-interference ability  long transmission distance and so on  is used in jointless Frequency-shift track circuit to send different kinds of control signals. However  as FSK is non-linearly modulated  parameter estimation with high accuracy is hard to realize. Based on the spectrum analysis complement with time-frequency distribution  a highaccuracy FSK signal parameter estimation algorithm is put forward in this paper. According to the signal characteristics  under-sampling and ZFFT are used to improve the accuracy of spectrum analysis  and the base frequency resolution meets system requirement of 0.02Hz. Wigner-Ville distribution has an excellent time-frequency concentration while serious cross-term interference at the same time. Through the design of kernel function  the cross-terms are almost suppressed and the upper/down side frequency resolution meets the system requirement of 0.2Hz. The effectivities of all the methods mentioned above have been proved by MATLAB simulation  which pave a solid way for the development of high-accuracy FSK signal parameter estimation devices. 2008 IEEE.  
Target track system design based on circular projection (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Song H.-J.; Zhu M.; Hu S.; Shen M.-L.
收藏  |  浏览/下载:21/0  |  提交时间:2013/03/25
Template matching is the process of searching the present and the location of a reference image or an object in a scene image. Template matching is a classical problem in a scene analysis: given a reference image of an object  decide whether that object exists in a scene image under analysis  and find its location if it does. The template matching process involves cross-correlating the template with the scene image and computing a measure of similarity between them to determine the displacement. The conventional matching method used the spatial cross-correlation process which is computationally expensive. Some algorithms are proposed for this speed problem  such as pyramid algorithm  but it still can't reach the real-time for bigger model image. Moreover  the cross-correlation algorithm can't be effective when the object in the image is rotated. Therefore  the conventional algorithms can't be used for practical purpose. In this paper  an algorithm for a rotation invariant template matching method based on different value circular projection target tracking algorithm is proposed. This algorithm projects the model image as circular and gets the radius and the sum of the same radius pixel value. The sum of the same radius pixel value is invariable for the same image and the any rotated angle image. Therefore  this algorithm has the rotation invariant property. In order to improve the matching speed and get the illumination invariance  the different value method is combined with circular projection algorithm. This method computes the different value between model image radius pixel sum and the scene image radius pixel sum so that it gets the matching result. The pyramid algorithm also is been applied in order to improve the matching speed. The high speed hardware system also is been design in order to meet the real time requirement of target tracking system. The results show that this system has the good rotate invariance and real-time property.  
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:37/0  |  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.