This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar Measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
标签： processing ballistic the tracking
上传时间： 2013-12-22
上传用户：asddsd
documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new Measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
标签： documentation mathematical for filtering
上传时间： 2014-01-20
上传用户：changeboy
documentation for optimal filtering toolbox for mathematical software package Matlab. The methods in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new Measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
标签： documentation mathematical for filtering
上传时间： 2013-12-10
上传用户：zxc23456789
observable distribution grid are investigated. A distribution grid is observable if the state of the grid can be fully determined. For the simulations, the modified 34-bus IEEE test feeder is used. The Measurements needed for the state estimation are generated by the ladder iterative technique. Two methods for the state estimation are analyzed: Weighted Least Squares and Extended Kalman Filter. Both estimators try to find the most probable state based on the available Measurements. The result is that the Kalman filter mostly needs less iterations and calculation time. The disadvantage of the Kalman filter is that it needs some foreknowlegde about the state.
标签： distribution observable grid investigated
上传时间： 2014-12-08
上传用户：ls530720646
3rd Generation Partnership Project Technical Specification Group Radio Access Network Evolved Universal Terrestrial Radio Access [E-UTRA] Physical layer 鈥?Measurements
标签： Specification Partnership Generation Technical
上传时间： 2013-12-25
上传用户：问题问题
In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data into one coordinate system. Registration is necessary in order to be able to compare or integrate the data obtained from different Measurements. Image registration is the process of transforming the different sets of data into one coordinate system. To be precise it involves finding transformations that relate spatial information conveyed in one image to that in another or in physical space. Image registration is performed on a series of at least two images, where one of these images is the reference image to which all the others will be registered. The other images are referred to as target images.
标签： different computer acquired sampling
上传时间： 2013-12-28
上传用户：来茴
When trying to extract information from SAR images, we need to distinguish two types of image property. The more important is where properties of the scene (e.g., its dielectric constant, its geometry, its motion, etc.) produce effects in the image Measurements or examination of the image then can provide information about the scene. The second is generated purely by the system and the signal processing.
标签： distinguish information extract trying
上传时间： 2014-01-09
上传用户：huyiming139
The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy Measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.
标签： filter efficient estimates recursive
上传时间： 2017-08-06
上传用户：风之骄子
evc4 console app that monitors battery status and writes a csv log file and broadcasts every measurement. Use netcat on network to capture the Measurements.
标签： broadcasts and monitors console
上传时间： 2017-08-07
上传用户：xiaodu1124
Abstract—Stable direct and indirect decentralized adaptive radial basis neural network controllers are presented for a class of interconnected nonlinear systems. The feedback and adaptation mechanisms for each subsystem depend only upon local Measurements to provide asymptotic tracking of a reference trajectory. Due to the functional approximation capabilities of radial basis neural networks, the dynamics for each subsystem are not required to be linear in a set of unknown coeffi cients as is typically required in decentralized adaptive schemes. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds.
标签： decentralized controllers Abstract adaptive
上传时间： 2017-08-17
上传用户：gdgzhym
