This paper revisits estimation and tracking of channel parameters of multiple-input multiple-output (MIMO) systems. Since the initialization of channel parameters has always been regarded as a computationally complex ...
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ISBN:
(纸本)9781479980925
This paper revisits estimation and tracking of channel parameters of multiple-input multiple-output (MIMO) systems. Since the initialization of channel parameters has always been regarded as a computationally complex problem, we develop a new parameter initialization method that exploits the nature of the data structure of channel measurements. For medium or large problems it leads to a more than 500 times runtime acceleration for parameter initialization. We show that the runtime of the new initialization method increases more slowly compared with that of the traditional initialization method when the dimensions of measurement data or search grids grow.
Infrared moving target tracking algorithm in complex background prone target loss problems, proposed to add background perception module and target feature matching function in tracking algorithm, real-time analysis o...
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Infrared moving target tracking algorithm in complex background prone target loss problems, proposed to add background perception module and target feature matching function in tracking algorithm, real-time analysis of the surroundings of the target. Strict constraints target infrared feature matching function when found that the background will be changed, if the target is interference, and outputs the target predicted position until the target flight out of the area. The improved algorithm is substantially independent of the target size, rotation change and improves the stability and reliability of the tracking algorithm. The experimental results show that the improved algorithm to overcome easily lost in the traditional algorithm to track the target and stable tracking in a complex background.
Computer vision technology has developed rapidly in the current computer world,and the processing methods for video images have also been significantly *** on the computer theory based on Marr,this paper discusses and...
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Computer vision technology has developed rapidly in the current computer world,and the processing methods for video images have also been significantly *** on the computer theory based on Marr,this paper discusses and studies the tracking of moving objects in *** the motion change of the monitored vehicle as an example,the Robert algorithm is used to track the changes of the vehicle during driving,and the multi-association template matching method is used to improve the accuracy of the *** is proved in the experiment that the algorithm in this paper has better precision in the tracking of the vehicle and can meet the current needs for tracking the moving target.
The presented method automatically adjusts the deadtime of gallium nitride (GaN) transistors in half-bridge to increase the efficiency. This removes the need of manual measuring and setting the deadtime of the finishe...
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ISBN:
(纸本)9788026108122
The presented method automatically adjusts the deadtime of gallium nitride (GaN) transistors in half-bridge to increase the efficiency. This removes the need of manual measuring and setting the deadtime of the finished converter. The developed algorithm was tested and compared with the fixed deadtime case. The obtained results show that the developed algorithm is achieving higher and more stable efficiency compared to selected fixed deadtime.
A maneuvering target model is presented based on the current statistics model. An adaptive tracking algorithm is developed using the relationship between the variance. Simulation results show that this new maneuvering...
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A maneuvering target model is presented based on the current statistics model. An adaptive tracking algorithm is developed using the relationship between the variance. Simulation results show that this new maneuvering target model can characterize all kinds of maneuvering motion of target and that the adaptive tracking algorithm has good performance. So it is worthy to be applied widely in practice.
It is well known that Binary Offset Carrier (BOC) modulated signal has been chosen for the next generation satellite navigation system. The work presented in this paper introduces an improved novel architecture for th...
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ISBN:
(纸本)9781457714146
It is well known that Binary Offset Carrier (BOC) modulated signal has been chosen for the next generation satellite navigation system. The work presented in this paper introduces an improved novel architecture for the tracking loop which is tailored for the alignment of a BOC(1,1) modulated signal. Compared with the architecture described in [1], the proposed one here is able to double tracking accuracy and keeping the overall complexity of the required taps. An unambiguous time-based algorithm for discriminator is introduced in this paper which makes this architecture more realistic.
The MAYA detector is a Time-Charge Projection Chamber based on the concept of active target. These type of devices use a part of the detection system, the filling gas in this case, in the role of the reaction target. ...
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The MAYA detector is a Time-Charge Projection Chamber based on the concept of active target. These type of devices use a part of the detection system, the filling gas in this case, in the role of the reaction target. The MAYA detector performs three-dimensional tracking, in order to determine physical observables of the reactions occurring inside the detector. The reconstruction algorithms of the tracking use the information from a two-dimensional projection on the segmented cathode, and, in general, they need to be adapted for the different experimental settings of the detector. This work presents some of the most relevant solutions developed for the MAYA detector. (C) 2011 Elsevier B.V. All rights reserved.
tracking algorithms are used to predict crack paths in structures modeled with the finite element method, in such a way that the paths do not depend on the selected mesh. For regularized media, the simplest methods re...
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tracking algorithms are used to predict crack paths in structures modeled with the finite element method, in such a way that the paths do not depend on the selected mesh. For regularized media, the simplest methods rely on scalar variables, somehow related to material degradation. Despite their simplicity, they suffer from a major limitation: they allow the crack to initiate and propagate in only one direction. Consequently, such approaches usually fail in case of crack branching or crack initiation inside the structure. To overcome this difficulty, we propose a new crack path tracking algorithm. It is designed to simultaneously detect several local maxima of a degradation-related variable by following the associated ridge lines. That is why the algorithm proposed in this paper could be referred to as a marching ridges algorithm. The performance of the proposed approach is illustrated by three numerical examples within different frameworks. The first ones show that the algorithm can be used to insert crack increments during a ductile failure computation with a quasi-static implicit resolution procedure, in 2D and 3D. The last example proves that the algorithm can be used as a post-processing tool to capture dynamic crack branching from a damage distribution image only. (C) 2015 Elsevier Ltd. All rights reserved.
Numerical methods for predicting localized shear failure in elasto-plastic solids have experienced considerable advancements in the last decades. Among these approaches, the so-called "Embedded Strong Discontinui...
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Numerical methods for predicting localized shear failure in elasto-plastic solids have experienced considerable advancements in the last decades. Among these approaches, the so-called "Embedded Strong Discontinuity (ESD)" method is often successfully used to accurately simulate the post-localization response with negligible dependence on the finite element discretization. However, it was observed that the employed discontinuity tracking strategy plays a crucial role in the successful localization analysis. In this contribution, we propose a novel strategy for the global tracking of discontinuity surfaces. It is based on exploiting information obtained from the enhanced parameters employed in Enhanced Assumed Strain (EAS) formulations. It is well known, that enhanced strain element formulations are able to better capture localized shear deformations as compared to standard finite elements. This can be explained as a consequence of the improved performance in bending. We observed, that the approximation of the strain jumps delimiting the shear band is connected with a deformation field characterized by opposite bending curvatures across these two discontinuities. Hence, in view of the relations existing between the kinematics of strong and weak discontinuities, we formulate a proper scalar function of the enhanced parameters to identify potential strong discontinuity surfaces, which are evaluated in each step of the analysis with negligible computational cost. This proposed approach has a global character, as it is based upon evaluating discontinuity surfaces defined in the complete analysis domain that are, by construction, continuous across elements. We demonstrate that the tracking algorithm correctly identifies the potential strong discontinuity surface already in early loading stages, even before a localization condition is fulfilled. In those elements which are crossed by the potential failure surface and which also satisfy the localization condition, the kinema
Aiming at an efficient feature match and similarity search in visual tracking, this study proposes a tracking algorithm based on quantum genetic algorithm. Therein, the global optimisation ability of quantum genetic a...
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Aiming at an efficient feature match and similarity search in visual tracking, this study proposes a tracking algorithm based on quantum genetic algorithm. Therein, the global optimisation ability of quantum genetic algorithm is utilised. In the framework of quantum genetic algorithm, the positions of pixels are taken as individuals in population, while scale-invariant feature transform and colour features are taken as target model. Via defining the objective function, individual's fitness values can be measured. Visual tracking is realised when the pixel point with the biggest fitness value is searched and its corresponding position is returned. The experiment results show that the tracking algorithm the authors proposed performs more efficiently when it is compared with the state-of-the-art tracking algorithms.
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