Unscented相关论文
Multi-Object Tracking Strategy of Autonomous Vehicle Using Modified Unscented Kalman Filter and Refe
In this study,a multi-object tracking (MOT) scheme based on a light detection and ranging sensor was proposed to overcom......
自主导航不需要地面站信息，因此能满足一些特殊要求。本文建立了近地卫星高精度轨道动力学模型和10 ×10 阶地磁场模型，从而更好的反......
针对短周期降水序列模型估计困难、滤波误差不确定问题提出了在线向量机与Unscented Kalman滤波相结合的降水时间序列预测与滤波方......
In order to improve the navigation accuracy of human occupied vehicle(HOV)precisely and efficiently,an innovative hybrid......
为了在非线性、非高斯系统估计中获得更好的精度,提出一种新的unscented卡尔曼滤波(UKF).采用确定性采样方法,通过选择unscented变......
Determination of relative three-dimensional (3D) position, orientation, and relative motion between two reference frames......
Quadrature Kalman Filter(QKF) and Reduced Quadrature Kalman Filter(R-QKF)in Ballistic Target Trackin
Recently there have been researches about new efficient nonlinear filtering techniques[1]~[3] in which the nonlinear fil......
In this study, an unscented particle filtering method based on an interacting multiple model (IMM) frame for a Markovian......
A modified unscented particle filtering scheme for nonlinear tracking is proposed, in view of the potential drawbacks (s......
为了减小传统跟踪滤波算法线性化误差,提高光电跟踪系统的跟踪速度和跟踪精度,本文在三维空间中,提出了二阶去偏转换测量卡尔曼滤......
In recent years,the theory of particle filter has been developed and widely used for state and parameter estimation in n......
针对传统Unscented卡尔曼滤波器(UKF)在噪声先验统计未知或不准确时滤波精度下降甚至发散的问题,基于极大后验(MAP)估计原理,设计......
The unscented Kalman filter is a developed well-known method for nonlinear motion estimation and tracking. However, the ......
In order to resolve the state estimation problem of nonlinear/non-Gaussian systems,a new kind of quadrature Kalman parti......
UKF算法是广泛应用的非线性滤波方法之一,在加性噪声条件下,根据是否状态扩展和是否重采样有四种实现方式.从算法精度、适应性和计......
针对强跟踪滤波器(STF)存在要求非线性函数连续可微和强非线性时滤波性能不佳等理论局限性,提出一种基于Unscented变换的强跟踪滤......
A novel particle filter bandwidth adaption for kernel particle filter (BAKPF) is proposed. Selection of the kernel bandw......
This paper presents a new phase unwrapping algorithm based on the unscented Kalman filter(UKF) for synthetic aperture ra......
A new method of unscented extended Kalman filter (UEKF) for nonlinear system is presented. This new method is a combinat......
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For improving the estimation accuracy and the convergence speed of the unscented Kalman filter(UKF),a novel adaptive fil......
In order to deal with the particle degeneracy and impoverishment problems existed in particle filters, a modified sequen......
This paper is concerned with the problem of learning structure of the lateral flow immunoassay(LFIA) devices via short b......
For the problems of estimation accuracy, inconsistencies and robustness in mobile robot simultaneous localization and ma......
Instantaneous spectrum estimation of earthquake ground motions based on unscented Kalman filter meth
Representing earthquake ground motion as time varying ARMA model,the instantaneous spectrum can only be determined by th......
This paper proposes a modified centralized shifted Rayleigh filter(MCSRF) algorithm for tracking boost phase of ballisti......
阜阳市局 ￡4a 局长——_MINtkMMtgj’＃lnH＄B——q.M——D收束志不他只邀狲位J则【科校为先导推动地租工作.B为广为戳民U用凶盼引眯B.......
An estimation model of time-varying origin-destination flows in expressway corridors based on unscen
On the basis of measurable time series of mainline and ramp flows from traffic counts and the assumption of travel time ......
An improved particle filtering(IPF) is presented to perform maneuvering target tracking in dense clutter.The proposed fi......
A new synergy tracking method of infrared and ra dar is presented. To improve tracking accuracy, the unscented Kalman fi......
Model-set is utilized in state estimation for maneuvering target tracking.Two minimal symmetric model-subsets are design......
Fault tolerant navigation method for satellite based on information fusion and unscented Kalman filt
An effective autonomous navigation system for the integration of star sensor,infrared horizon sensor,magnetometer,radar ......
In order to improve the autonomous navigation capability of satellite,a pulsar/CNS(celestial navigation system) integrat......
A new nonlinear algorithm is proposed for strapdown inertial navigation system (SINS)/celestial navigation system (CNS)/......
Blind Channel Equalization Algorithm Based on Dual Unscented Kalman Filter for Chaotic Multi-Input M
To reduce channel noise,fading,and inter-user interference effectively in the chaotic communication systems with multi-u......
Target Tracking in Standoff Jammer Using Unscented Kalman Filter and Particle Fiter with Negative In
To handle the problem of target tracking in the presence of standoff jamming(SOJ), a Gaussian sum unscented Kalman filte......
We propose an improved Unscented Particle Filter(UPF) algorithm for the Celestial Navigation System/Redshift(CNS/Redshif......
Recursive adaptive filter using current innovation for celestial navigation during the Mars approach
Celestial navigation is a commonly used autonomous navigation technique for deep space navigation.A nonlinear filter suc......
To detect the bias fault in stochastic non-linear dynamic systems,a new Unscented Kalman Filtering(UKF) based real-time ......
A novel fault-tolerant adaptive control methodology against the actuator faults is proposed. The actuator effectiveness ......
In order to achieve precise,robust autonomous guidance and control of a tracked vehicle,a kinematic model with longitudi......
A path following controller is proposed to force an underactuated surface ship which is suffering from disturbance to fo......
Aiming at the out-of-sequence measurement (OOSM) problem, the update equations of the nonlinear single-step-lag OOSM are......
The approximate correction of the additive white noise model in quantized Kalman filter is investigated under certain co......
Human motion capture technologies are widely used in interactive game and learning, animation, film special effects, hea......
Systems with a hidden degradation process are pervasive in the real world.Degrading critical components will undermine s......
Motivated by the well-known fact that the state estimate of a smoother is more accurate than that of the corresponding f......
For solving the issues of the signal reconstruction of nonlinear non-Gaussian signals in wireless sensor networks(WSNs),......
