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tracking algorithm for the stable spin polarization field in storage rings using stroboscopic averaging

Physical Review E 1996年第4期54卷 4240-4240页

作者： K. Heinemann G. H. Hoffstätter Deutsches Elektronen-Synchrotron DESY Notkestrasse 85 22603 Hamburg Germany

Polarized protons have never been accelerated to more than about 25 GeV. To achieve polarized proton beams in the Relativistic Heavy Ion Collider (RHIC, 250 GeV), the Hadron Electron Ring Accelerator (HERA, 820 GeV), and Fermilab’s TeV accelerator (TEVATRON, 900 GeV), ideas and techniques applicable to accelerator physics are needed. In this publication we will stress an important aspect of very high energy polarized proton beams, namely, the fact that the equilibrium polarization direction can vary substantially across the beam in the interaction region of a high energy experiment when no countermeasure is taken. Such a divergence of the polarization direction would not only diminish the average polarization available to the particle physics experiment, but it would also make the polarization involved in each collision analyzed in a detector strongly dependent on the phase space position of the interacting particle. In order to analyze and compensate for this effect, methods for computing the equilibrium polarization direction are needed. In this paper we introduce the method of stroboscopic averaging, which computes this direction in a very efficient way. Since only tracking data are needed, our method can be implemented easily in existing spin tracking programs. Several examples demonstrate the importance of the spin divergence and the applicability of stroboscopic averaging. © 1996 The American Physical Society.

关键词： .storage rings Deutsches Elektronen-Synchrotron polarization direction Stable spin average polarization Spin tracking tracking algorithm

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An orientation tracking algorithm valid in a hemisphere space based on the gravity field and the earth magnetic field

An orientation tracking algorithm valid in a hemisphere spac...

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International Conference on Information Acquistition

作者： Yan, ZG Yuan, K Chinese Acad Sci Inst Automat Beijing 100080 Peoples R China

ISBN: (纸本)0780386299

A novel orientation tracking algorithm is introduced. The algorithm can provide 3DOF orientation information of an object in a hemisphere space. It is based on two-dimensional information about the gravity field and the earth magnetic field. Comparing with the traditional algorithm, it reduced the needed information from three dimensions to two dimensions in operation. It is faster and simpler. The algorithm is validated with a system. The results indicate the algorithm can track the orientation of the object well.

关键词： orientation tracking tracking algorithm

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Application of 2D-direction locked loop tracking algorithm to mobile satellite communications

Application of 2D-direction locked loop tracking algorithm t...

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4th IEEE Sensor Array and Multichannel Signal Processing Workshop

作者： Gieron, Roman Siatchoua, Patrice IMST GmbH Carl Friedrich Gauss Str 2 D-47475 Kamp Lintfort Germany

ISBN: (纸本)1424403081

Mobile satellite terminals especially with high-gain antenna require fast and accurate beam tracking algorithms for communication. The main topic of this paper is the extension of a tracking algorithm to mobile satellite communications, its implementation and performance. The presented considerations and simulation results concern low SNR condition and narrow antenna beam configuration as existing in satellite communications. The assumed satellite is geostationary. The work is presented in context of SANTANA-2 project, (Smart Antenna Terminal), founded and supported by the German DLR on behalf of BMBF. The realized terminal uses an antenna array in Ka-band and fully implements Digital BeamForming (DBF) to control the beam pointing direction and the antenna beam shape.

关键词： tracking algorithm antenna array array signal processing mobile satellite communications digital beamforming Ka-band

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Performance evaluation of imaging seeker tracking algorithm based on multi-features

Performance evaluation of imaging seeker tracking algorithm ...

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4th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Advances in Infrared Imaging and Applications

作者： Li Yujue Yan Jinglong Beijing Inst Technol Sch Mechatron Engn Beijing 100081 Peoples R China

ISBN: (纸本)9780819488343

The paper presents a new efficient method for performance evaluation of imaging seeker tracking algorithm. The method utilizes multi features which associate with tracking point of each video frame, gets local score(LS) for every feature, and achieves global score(GS) for given tracking algorithm according to the combined strategy. The method can be divided into three steps. In a first step, it extracts evaluation feature from neighbor zone of each tracking point. The feature may include tracking error, shape of target, area of target, tracking path, and so on. Then, as to each feature, a local score can be got rely on the number of target which tracked successfully. It uses similarity measurement and experiential threshold between neighbor zone of tracking point and target template to define tracking successful or not. Of course, the number should be 0 or 1 for single target tracking. Finally, it assigns weight for each feature according to the validity grade for the performance. The weights multiply by local scores and normalized between 0 and 1, this gets global score of certain tracking algorithm. By compare the global score of each tracking algorithm as to certain type of scene, it can evaluate the performance of tracking algorithm quantificational. The proposed method nearly covers all tracking error factors which can be introduced into the process of target tracking, so the evaluation result has a higher reliability. Experimental results, obtained with flying video of infrared imaging seeker, and also included several target tracking algorithms, illustrate the performance of target tracking, demonstrate the effectiveness and robustness of the proposed method.

关键词： multi-feature imaging seeker tracking algorithm performance evaluation

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A new UAV ship-tracking algorithm

A new UAV ship-tracking algorithm

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20th World Congress of the International-Federation-of-Automatic-Control (IFAC)

作者： Garcia-Aunon, Pablo Santos Penas, Matilde de la Cruz Garcia, Jesus Manuel Tech Univ Madrid Sch Ind Engn Madrid 28006 Spain Univ Complutense Madrid Comp Sci E-28040 Madrid Spain Univ Complutense Madrid Fac Phys E-28040 Madrid Spain

For several applications involving Unmanned Aerial Vehicles (UAVs), a moving target must the tracked and followed autonomously. Several algorithms have been already proposed, mainly based on three different strategies, assuming in most of the cases the target trajectory known in advanced. We here propose a new algorithm and compared it with a well known and widely used control tracking algorithm in a ship-tracking scenario. Our proposal is derived from the qualitative analysis of the system response when a UAV low level controller is implemented. Besides, these algorithms depend on various parameters, which normally are tuned based on the experience. We also present a methodological way of tuning the parameters of these types of control algorithms based on the kinematic analysis of the movement, the control effort and the error while tracking the target. This method has been proved efficient and general, and it may be used for similar problems and control algorithms. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： tracking algorithm UAV kinematic analysis qualitative analysis control tuning

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A tracking algorithm for Near-Space Hypersonic Vehicles based on Aerodynamic Acceleration Model 31

A Tracking Algorithm for Near-Space Hypersonic Vehicles base...

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31st Youth Academic Annual Conference of Chinese-Association-of-Automation (YAC)

作者： Lu, Zhou Cai, Yunze He, Jie Wang, Sheyang Shanghai Jiao Tong Univ Shanghai Peoples R China CASC Res Inst 8 Shanghai Peoples R China

ISBN: (纸本)9781509044238

Because of the unique flight trajectory and high penetration effectiveness, near-space hypersonic vehicles (NSHV) become a great challenge for active air defense systems. This paper study the tracking algorithm for NSHV based on Aerodynamic Model. Firstly, the paper simulated flight trajectory of NSHV based on the equation of motion. Secondly, the paper designed a tracking method for NSHV by using aerodynamic acceleration model. the effectiveness and limitation of the model are both verified by simulation. Finally, this paper provided some suggestions for improvement of the tracking algorithm based on Aerodynamic Acceleration Model.

关键词： flight orbit simulation of NSHV aerodynamic acceleration model tracking algorithm

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A Survey of Robot Visual tracking algorithm

A Survey of Robot Visual Tracking Algorithm

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Asian Workshop on Polymer Processing (AWPP2011)

作者： Huang, Yihu Hu, Man Chong, Honglei Jia, Ximei Ma, Jixiang Liu, Wenlong Qingdao Univ Sci & Technol Coll Automat & Elect Engn Qingdao Peoples R China Qingdao Univ Sci & Technol Coll Electromech Engn Qingdao Peoples R China

ISBN: (纸本)9783037853542

In this paper, the robot vision systems are studied. Through the analysis of the visual tracking process, this paper classifies and introduces several commonly track. The features affecting the quality of target tracking, such as block, rotation, translation deformation and others, are analyzed and discussed. At last, some further directions of target tracking algorithm are also shortly addressed.

关键词： robot vision visual tracking tracking algorithm

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A fully Bayesian tracking algorithm for mitigating disparate prediction misclassification

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INTERNATIONAL JOURNAL OF FORECASTING 2023年第3期39卷 1238-1252页

作者： Short, Martin B. Mohler, George O. Georgia Inst Technol Atlanta GA 30332 USA Boston Coll Chestnut Hill MA USA

We develop a fully Bayesian tracking algorithm with the purpose of providing classification prediction results that are unbiased when applied uniformly to individuals with differing sensitive variable values, e.g., of different races, sexes, etc. Here, we consider bias in the form of group-level differences in false prediction rates between the different sensitive variable groups. Given that the method is fully Bayesian, it is well suited for situations where group parameters or regression coefficients are dynamic quantities. We illustrate our method, in comparison to others, on simulated datasets and two real-world datasets.& COPY;2022 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.

关键词： Bayesian tracking algorithm Fair algorithm Bias reduction Recidivism

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Research on Particle Filter tracking algorithm Based on Multi-Feature Covariance Matrix 3

Research on Particle Filter Tracking Algorithm Based on Mult...

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3rd IEEE International Conference on Control, Automation and Robotics (ICCAR)

作者： Du, Yunming San, Linna Tian, Jing Yan, Bingbing Jiamusi Univ Coll Informat & Elect Technol Jiamusi Heilongjiang Pr Peoples R China Jiamusi Univ Coll Mech Engn Jiamusi Heilongjiang Pr Peoples R China

ISBN: (纸本)9781509060887

Aiming at the problem that the particle filter target tracking based on single feature is vulnerable to environmental impacts and is difficult to deal with the size scaling and rotation changes, this paper proposes a particle filter tracking algorithm based on covariance matrix. The algorithm uses the covariance matrix to fuse multiple features of the target in the framework of particle filter, which improves the adaptability of the algorithm. By introducing the covariance integral graph, the dimension of particle computation is effectively reduced, which reduces the computational cost of the algorithm and improves the real-time performance. The processing efficiency of the algorithm is effectively improved through the mean value calculation in covariance to remove the noise. Simulation experiment results show that the proposed algorithm is robust to the target tracking under the condition of illumination change, environmental disturbance and scale change.

关键词： tracking algorithm particle filter multiple feature fusion covariance matrix

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The Mean Shift tracking algorithm With Adaptive Bandwidth Based on Affine Transformation 12

The Mean Shift Tracking Algorithm With Adaptive Bandwidth Ba...

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12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Lv, Lixia Yan, Chenghan North China Elect Power Univ Dept Automat Baoding Peoples R China

ISBN: (纸本)9781467376822

The kernel bandwidth of the traditional Mean Shift tracking algorithm cannot be changed in real time. It can't achieve accurate tracking when the target size is changing. This paper proposes an algorithm to automatically select the bandwidth of the kernel function, which can achieve accurate tracking when the size of the rigid target is changing. Firstly, it matches the target center of two consecutive frames by using the backward tracking. Then in order to effectively eliminate the false matching and ensure the accuracy of the regression, it extracts and disposes the feature points with regressive calculation on the base of matching. The results of tracking experiment show that the proposed algorithm can achieve accurate tracking in real time when the target size is changing.

关键词： kernel kernel bandwidth Mean Shift tracking algorithm backward tracking regressive calculation

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